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LEVEL 1 OF 3 · Gaussian fields and SLE interfaces for Lipschitz heights
Gaussian free-field limits of weighted integer Lipschitz heights
expertly designed by an internal OpenAI model · released 2026-10-06
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IntroductionAn integer Lipschitz function on the triangular lattice is a discrete surface with a hard constraint on its nearest-neighbor slopes. We weight each unit height change by a parameter \(x\). The associated contours form the loop \(O(2)\) model on the hexagonal lattice. We prove that the smoothly averaged surface has a Gaussian free field limit throughout \(1/\sqrt2\le x\le1\), including the predicted critical endpoint. The normalization is independent of the domain and of its lattice approximation. Model, approximation, and theoremLet \(\mathbb H\) be the hexagonal lattice embedded in \(\mathbb R^2\) so that its face centers form the triangular lattice \[\mathbb T=\mathbb Z(1,0)+\mathbb Z(1/2,\sqrt3/2).\] Two faces are adjacent when they share an edge. We identify each face with its center whenever using the triangular-lattice description. Definition 1 (Inside approximation). Let \(D\subset\mathbb R^2\) be a bounded simply connected domain with \(C^2\) Jordan boundary. For each mesh \(\delta\) in a sequence tending to zero, let \(\gamma_\delta\) be a simple cycle in \(\delta\mathbb H\), let \(D_\delta\) be its bounded interior, and include every lattice vertex and edge on or inside the cycle. We require \(D_\delta\subset D\), that every compact subset of \(D\) is eventually contained in \(D_\delta\), and that there are parametrizations \[\gamma_\delta:S^1\longrightarrow\partial D_\delta, \qquad \gamma:S^1\longrightarrow\partial D, \qquad \|\gamma_\delta-\gamma\|_\infty\longrightarrow0.\] Here each parametrization is a homeomorphism onto the indicated curve. Write \(F_\delta\) for the hexagonal faces enclosed by \(\gamma_\delta\), and \(\partial F_\delta\) for those adjacent to the boundary cycle. Fix \(x\in[1/\sqrt2,1]\). An admissible height is a function \(h:F_\delta\to\mathbb Z\) such that \[h=0\quad\text{on }\partial F_\delta, \qquad |h(u)-h(v)|\le1\quad\text{whenever }u\sim v.\] Its probability is \[ \mathbb P_{\delta,x}(h)=\frac{x^{N_\delta(h)}}{Z_{\delta,x}}, \qquad N_\delta(h)=\sum_{\{u,v\}\subset F_\delta:\,u\sim v} \mathbf 1_{\{h(u)\ne h(v)\}}. \tag{1}\] The sum counts each unordered adjacent pair once. The admissible set is finite, since the height at any face is bounded in absolute value by its graph distance to \(\partial F_\delta\). It contains the zero function, so \(Z_{\delta,x}\) is finite and positive. Height reflection preserves (1); in particular, \(\mathbb Eh_\delta(u)=0\). Extend \(h_\delta\) as a constant on each enclosed face and by zero outside \(D_\delta\). For \(f\in C_c^\infty(D)\) we always use the Euclidean area pairing \[ h_\delta(f)=\int_D h_\delta(z)f(z)\,\mathrm dz =\sum_{u\in F_\delta} w_{\delta,f}(u)h_\delta(u), \qquad w_{\delta,f}(u)=\int_{\text{face at }u}f(z)\,\mathrm dz. \tag{2}\] For small enough \(\delta\), these weights sum to \(\int_D f\) exactly. Let \(\Phi_D\) denote the real zero-Dirichlet Gaussian free field with covariance \[ \mathbb E[\Phi_D(f)\Phi_D(g)] =\iint_{D\times D} f(z)G_D(z,w)g(w)\,\mathrm dz\,\mathrm dw, \qquad G_D=(-\Delta_D)^{-1}. \tag{3}\] The Laplacian is the Euclidean Laplacian. Thus the singular part of \(G_D(z,w)\) is \((2\pi)^{-1}\log(1/|z-w|)\). Theorem 2. For every fixed \(x\in[1/\sqrt2,1]\) there exists \(\sigma(x)\in(0,\infty)\), independent of \(D\) and of the inside approximation in Definition 1, such that \[\frac{h_\delta}{\sigma(x)}\ \Longrightarrow\ \Phi_D \qquad\text{in }\mathcal D'(D).\] In particular, the fields are tight as random distributions and, for every \(k\ge1\) and \(f_1,\ldots,f_k\in C_c^\infty(D)\), the vector \((h_\delta(f_i)/\sigma(x))_{i=1}^k\) converges to \((\Phi_D(f_i))_{i=1}^k\). All mixed moments of these vectors converge. There is no logarithmic rescaling of the amplitude. The logarithmic growth of point variances (Glazman and Lammers 2025, sec. 1.2.4) is compatible with finite fluctuations after smooth spatial averaging. The theorem is for each fixed \(x\); it neither specifies a formula for \(\sigma(x)\) nor asserts that this constant is independent of \(x\). The loop description is exact. At each interior vertex of \(\mathbb H\), the three incident face heights have range at most one. Consequently either zero or two incident edges separate unequal heights. The occupied edges therefore form mutually vertex-disjoint loops away from the boundary cycle. Conversely, such a loop family, together with an independent choice of one of its two orientations for each loop, determines an admissible height by summing its signed nesting increments from the zero exterior. Thus its un-oriented weight is \[ 2^{\#\text{loops}}x^{\#\text{occupied edges}}. \tag{4}\] Theorem 2 concerns the field law; no convergence claim for the individual loops or their ensemble is needed. Context and significanceSchramm’s problem collection asks for Gaussian free field behavior of the uniform odd-integer Lipschitz height on the triangular lattice with two boundary arcs, and separately asks about its interface (Schramm 2007, Problem 2.2). That formulation has a different boundary condition and height convention from (1). It motivates the field question studied here. The real-valued model in his Problem 2.3 is another distinct model. The loop description belongs to the classical solid-on-solid viewpoint: Nienhuis relates honeycomb loop weights to integer heights on the triangular lattice (Nienhuis 1982, 1062). The predicted critical curve discussed in (Glazman and Lammers 2025, sec. 1.4.1) gives \(x_c(2)=1/\sqrt2\). Throughout this paper, the phrase predicted critical endpoint refers to that prediction; a sharp description of the complete phase diagram is not part of the theorem. At \(x=1/\sqrt2\), macroscopic loops and the resulting logarithmic height variances were established by Duminil-Copin, Glazman, Peled and Spinka (Duminil-Copin et al. 2021, Theorem 1 and Section 1.2). Glazman and Manolescu established logarithmic height variances for the uniform integer Lipschitz model and developed its two-spin representation and associated correlation and crossing estimates (Glazman and Manolescu 2021). Glazman and Lammers proved delocalization and logarithmic variance estimates in a broader loop-parameter regime, and related these estimates to the predicted Gaussian free field limit (Glazman and Lammers 2025, sec. 1.2.4). More recently, Glazman, Harel and Zelesko gave another proof of delocalization: for \(n=2\) and every \(x\in[1/\sqrt2,1]\), each translation-invariant loop Gibbs measure has infinitely many loops surrounding every face (Glazman et al. 2025, Theorem 2). These are roughness results, distinct from the field limit proved here. The proof develops the reflection and moment method of the companion article (OpenAI 2026a, secs. 5, 7, 9, and 10) for the weighted family (1). That article treats uniform odd integer heights with two boundary arcs. Table 1 records the different inputs and conclusions. The two-spin representation of Glazman–Manolescu and the weighted percolation augmentation of Glazman–Lammers provide the starting point for the conditional cuts (Glazman and Manolescu 2021; Glazman and Lammers 2025). The extension requires order inequalities after restricted observations and estimates for moments conditioned on rare weighted pinning events. We prove these statements below and give the ensuing spectral, boundary, and moment arguments in full.
Reflection positivity provides a classical route from spatial symmetries to positive transfer operators; see Fröhlich–Israel–Lieb–Simon (Fröhlich et al. 1978) and the spectral discussion of Usui (Usui 2012, secs. 3–4). Here the original edge interaction factorizes across a row of sites. We prove the associated positive normal transfer, including its phase-augmented form, directly. Appendix 8 constructs the scalar measures needed for its Cauchy representation and for analytic translation. The six-vertex GFF theorem of Duminil-Copin, Kozlowski, Lammers, and Manolescu provides substantial methodological precedents through transfer spectra, analytic translation, and harmonic multipoint functions (Duminil-Copin et al. 2026, sec. 4.5; Lemma 7.4; Section 7.2). Their result concerns a full-plane zero-slope state on the square lattice for \(a=b=1\) and \(c\in[\sqrt3,2]\). Its covariance normalization uses surface tension and Bethe ansatz. Our plane coefficient is fixed by a three-mirror angular identity and a signed cutoff limit; the passage to the actual bounded-domain boundary additionally uses weighted rare-pin comparisons and boundary attachment. The final collision-to-moment argument also has a precedent in Kenyon’s identification of dimer-height correlations (Kenyon 2001, Lemma 3.1 and Proposition 3.2). In the present model the collision coefficient comes from conditional local matching and logarithmic harmonic expansions. A related six-vertex result (OpenAI 2026b, Theorem 1.1) establishes the GFF limit for \(a=b=1\) and every fixed \(c\in(0,2]\), in the zero-slope plane law defined by its prescribed iterated limit of balanced tori. The conclusion strengthens logarithmic variance estimates to a limit law for the entire distribution-valued field. Identifying a covariance is only one part of this conclusion: the proof also establishes Gaussian higher moments, the zero boundary condition, and tightness. The parameter interval includes both the uniform height model \(x=1\) and its predicted critical endpoint \(x=1/\sqrt2\). Structure of the proofExact weighted cuts and conditional order.Section 2 encodes a height modulo four by two spins and augments each upward triangular cell with a status. An open circuit fixes the first spin while leaving the second spin free. The resulting cell factorization gives an exact conditional cut. The order statement is proved for histories which record every first-spin site of an observed cell. This restriction is essential: conditioning on a status alone need not preserve positive association. Stopped explorations then give local mixing and multiplicative comparisons for separated pins. Uniform moments and the plane coefficient.Section 3 proves moment bounds for smeared heights, including irregular domains exposed by explorations. A discrete midpoint inequality of Klartag–Lehec (Klartag and Lehec 2019, Theorem 1.4), in the nonnegative-function form of (Gozlan et al. 2021, Theorem 3), amplifies central probability bounds to all moments. We derive the finite-support zero case directly from (Gozlan et al. 2021, Theorem 8), then verify the multidimensional application and rounding conditions explicitly. In Section 4, site reflection positivity gives a positive normal transfer operator. Its covariance is a mixture of Cauchy kernels in normal frequency. An angular identity using all three mirror directions forces every scaling limit of the spectral measure to be \(c\,\,\mathrm dp/|p|^2\). A signed cutoff identity proves uniqueness of \(c\), and a two-disk variance bound proves \(c>0\). With our Fourier convention, \[ v=(2\pi)^2c,\qquad \sigma(x)=\sqrt v. \tag{5}\] Pins, reflection, and the true boundary.Section 5 compares the field with upper and lower pinning brackets. Uniform normalized moment bounds allow analytic movement of separated pins in three directions. Averaging their phases and then closing the gaps transfers the reflection-null Laplace insertion from the plane to these brackets. Section 6 proves the boundary attachment estimate: a synthetic boundary law gives a favorable level path, and a deterministic attachment argument connects it to the required boundary segment. Iterating in tubes yields boundary arches, makes the bracket means vanish, and controls boundary reference averages. Harmonic moments and the full field law.Section 7 first establishes distributional tightness and uniform integrability. The ordered coupling and the vanishing bracket means then identify the bracket limits with the true field and transfer the insertion identity to it. The insertion and boundary references make every limiting moment distribution separately harmonic away from collisions. Logarithmic moment bounds exclude distributions supported on the diagonals. Local comparison with the plane fixes the coefficient of every collision singularity. Subtracting the corresponding Green functions gives Wick’s recursion, which determines the Gaussian law. This completes the proof of Theorem 2. ConventionsThe parameter \(x\) is fixed. Constants may depend on \(x\) and on a stated fixed macroscopic arrangement; this dependence is not asserted to be uniform over the parameter interval. The symbols \(C,c,\alpha\) denote positive constants whose value may change between occurrences. A test at radius \(r\) has support in a ball of that radius and magnitude \(O(r^{-2})\). A zero-total test has integral zero. On the full plane we use \[\widehat f(p)=\int_{\mathbb R^2}e^{-ip\cdot z}f(z)\,\mathrm dz, \qquad \langle f,(-\Delta)^{-1}g\rangle =\frac1{(2\pi)^2}\int_{\mathbb R^2} \frac{\overline{\widehat f(p)}\widehat g(p)}{|p|^2}\,\mathrm dp\] for real smooth compactly supported zero-total tests. The symbol \(H\) denotes a generic integer lift in the discrete representations; it is distinct from the hexagonal lattice \(\mathbb H\). Every argument involving collars, windows, disks, or tubes first fixes their positive macroscopic widths and separations, then sends \(\delta\downarrow0\). Limits that close gaps, shrink windows, or approach the boundary are taken afterward. A bound for fixed geometry is not used uniformly for a degenerating geometry. Explorations are stopped before inspecting the interior region whose conditional Gibbs law is subsequently used. Exact cuts and conditional comparisonThroughout this section \(x\in[1/\sqrt2,1]\) is fixed. We first work in lattice units. A finite ambient graph \(G=(V,E)\) is a connected induced subgraph of \(\mathbb T\) whose bounded faces are elementary triangles and whose union is a topological disk. We can always take a large regular hexagon. Holes in a height domain will be represented by fixed sites in such an ambient graph, rather than by deleting triangles. This distinction is needed in the wall factorization below. The cell representation below will provide three conclusions: an exact conditional factorization across open circuits, order under observations that record a cell together with all its first-spin sites, and a multiplicative comparison for separated pin events. The last comparison remains useful when each pin event has probability tending to zero. We first construct the cell law whose open circuits make all three statements possible. Spins, cells, and exact cutsAssociate to an integer \(H\) the two spins \((B,W)\) given by \[ \begin{array}{c|cccc} H\pmod4&0&1&2&3\\ \hline (B,W)&(+,+)&(+,-)&(-,-)&(-,+). \end{array} \tag{6}\] Call a spin pair coherent if on each edge at least one of its two spins is constant. Its free weight on \(G\) is \[ \prod_{uv\in E}x^{\mathbf 1\{(B_u,W_u)\ne(B_v,W_v)\}}\, \mathbf 1\{(B,W)\text{ is coherent}\}. \tag{7}\] All ambient finite-volume laws in this section use this edge convention. Lemma 3 (Integer lift). Every coherent pair on \(G\) has an integer Lipschitz lift, unique up to addition of a multiple of four once the correspondence (6) is fixed. For the oriented edge \(uv\) its increment is \[ H_v-H_u=\frac{W_uB_v-B_uW_v}{2}. \tag{8}\] The free spin law induces the weighted height-increment law with one height anchored. Fixing a constant pair on a connected skeleton, and fixing the lift there, induces the usual weighted height Gibbs law in each bounded face of the skeleton. Proof. The right side of (8) is \(0\), \(1\), or \(-1\), and has the required residue in (6). A triangle cannot have both spins nonconstant: each nonconstant binary spin changes on two triangle edges, and these two pairs of edges must intersect. If \(B\) is constant on a triangle, (8) is \(-B\,dW/2\) there; if \(W\) is constant, it is \(W\,dB/2\). Its circulation therefore vanishes. Every cycle of the triangulated disk is a sum of its triangle boundaries, so the increments integrate to \(H\). The four choices of the anchor residue give four equally weighted spin representations of each anchored increment configuration: cyclic rotation of the states in (6) preserves all increments and the weight. Finally each disagreeing pair contributes exactly one factor \(x\). Fixing the connected trace fixes the lift on the whole skeleton, and the remaining edge factors are precisely those of the height Gibbs specification. ◻ Let \(Y\) be the centers of the upward-pointing elementary triangles, viewed as one partite class of the dual honeycomb lattice. Each primal edge belongs to exactly one such triangle. At the ambient boundary a cell can be clipped to a single edge; cells containing at most one site have no interaction. For an interacting cell \(y\) write \(V_y\) for its two or three sites and put \[q_y=\begin{cases}x^2,&|V_y|=3,\\ x,&|V_y|=2.\end{cases}\] Introduce an open/closed variable by the following joint weights: \[ \begin{array}{c|c|c} \text{status}&\text{allowed spins}&\text{weight}\\ \hline \text{open}&B\text{ constant on }V_y,\ W\text{ arbitrary}&q_y\\ \text{closed}&B,W\text{ both constant on }V_y&1-q_y\\ \text{closed}&B\text{ nonconstant},\ W\text{ constant on }V_y&q_y. \end{array} \tag{9}\] An open cell is denoted \(+\) or \(-\) according to its constant \(B\) value, and a closed cell is denoted \(0\); thus \(\tau_y\in\{-,0,+\}\). An interior nonconstant triangle has two changing edges. Summing (9) consequently gives (7), including the clipped edge convention. We permit arbitrary deterministic \(B\) pins and deterministic equalities \(W_u=W_v\) on a set \(E_0\subset E\). These equalities are not prescribed component labels. Given \((B,\tau)\), form the graph containing the edges of all closed cells and all edges of \(E_0\), with isolated sites included. The conditional \(W\) law labels its connected components by independent fair signs. In particular, if \(m\) connected subgraphs have already been required to have constant \(W\), the conditional probability that all their labels are plus lies in \([2^{-m},1]\). This includes singleton subgraphs and allows several prescribed subgraphs to belong to the same component. A honeycomb edge is authorized with sign \(s\) if its endpoint in \(Y\) has \(\tau_y=s\). A good path or circuit of sign \(s\) uses authorized edges. We only use these paths away from clipped ambient cells. The faces adjacent to a good path have \(B=s\) and their connected face chain therefore has a height trace in one pair of consecutive integers. A nearest-neighbor path of good \(Y\) vertices can be converted into a honeycomb walk by joining successive vertices through their common honeycomb neighbor. The displacement is bounded in lattice units. A closed walk with nonzero winding around a target contains a simple surrounding circuit. All geometric constructions below have positive clearance, so this conversion preserves their requirements for sufficiently fine mesh. Lemma 4 (Open-cell cut). Let \(\gamma\) be a simple honeycomb circuit strictly inside the ambient graph. Prescribe \(\tau_y=s\) at every \(y\in Y\cap\gamma\). Suppose no edge of \(E_0\) crosses \(\gamma\). Conditional on these prescriptions and any deterministic constraints on the two respective sides, the two sides are independent after their prescribed first-spin layers are identified. On the inside, all cells centered strictly inside retain their original weights; crossing cells contribute constants and impose no condition on \(W\). This inside law depends only on \(\gamma\), \(s\), and the constraints inside. Given the complete height trace of the inside boundary layer, its free sites have the ordinary weighted height Gibbs law, with any additional inside constraints retained. Proof. Every interacting cell meeting both sides has its honeycomb center on \(\gamma\). Its open prescription fixes every incident first spin to \(s\), and its factor in (9) is the constant \(q_y\) for every choice of its second spins. All remaining factors involve sites on one side only. Equality edges do not cross by assumption. The product weight and its partition sum thus factor. In particular, complementary components cannot cross the circuit. After specifying the complete inner height layer, the spin lift and the edge weights in Lemma 3 give the claimed height specification. No first-spin agreement event without the open-cell prescriptions has been used in this factorization. ◻ Here is the crossing estimate used throughout the discrete argument. Appendix 9 gives its annulus proof. The boundary convention in its statement is part of the theorem. Theorem 5 (Annulus circuit estimate). For \(r\ge0\), let \(\Lambda_r\) be the ball of radius \(r\) in the triangular graph metric, with its bounding honeycomb contour; thus \(\Lambda_r=\Lambda_{\lfloor r\rfloor}\). For \(a>1\) and an integer \(n\in\mathbb N\), consider on \(\Lambda_{an}\) the cell spin law whose interior cells have weight \((x^2)^{\mathbf 1\{B\text{ or }W\text{ nonconstant}\}}\) and whose boundary \(Y\) cells are excluded. Fix \(B=-\) on the boundary face layer and leave \(W\) free. There is \(c=c(x,a)>0\) such that, for \(n\ge 3/(a-1)\), the probability of an occupied open-plus cell circuit surrounding \(\Lambda_n\) and contained in \(\Lambda_{an}\) is at least \(c\). The same statement holds with the signs or the two spin colors interchanged. The conclusion is equation (55) in Appendix A of the third arXiv version of (Glazman and Lammers 2025), with Definitions 3.2 and 3.5. Its augmentation includes a cell whenever \(W\) is nonconstant, excludes it whenever \(B\) is nonconstant, and otherwise includes it with probability \(x^2\). It is therefore exactly (9). The source uses \(Y(\Omega)=(Y\cap V(\Omega))\setminus V(\partial\Omega)\); simply pinning \(B=-\) in our edge-weight law would still charge certain boundary \(W\) changes. Lemma 4 instead identifies the source law with the law inside a prescribed regular open-minus circuit: the excluded boundary factors become constants. This is also the conditional law described by Lemma 3.8 of (Glazman and Lammers 2025). We use the theorem only through this exact identification, with fixed slack for lattice rounding. In particular its validity includes \(x=1/\sqrt2\). Restricted histories and the two-law inequalityA history fixes some first-spin sites and some cell statuses, with the rule that it fixes all first-spin sites of every observed cell. The equality set \(E_0\) remains deterministic. No second-spin component labels are part of a history. Order first spins by \(-<+\) and statuses by \(-<0<+\). Ordered histories have the same observation sets and ordered values. They may also have additional deterministic plus \(B\) pins only in the upper law, or additional deterministic minus \(B\) pins only in the lower law, compatible with the common pins. Proposition 6 (Association and conditional order). For every feasible history, the unobserved \((B,\tau)\) variables are positively associated. Two laws with ordered histories and common \(E_0\) are stochastically ordered, including the unequal extreme pins just described. Extra prescribed open-plus cells only in the upper law, or open-minus cells only in the lower law, can be incorporated by observing those cells and all their first-spin sites also in the other law. These claims hold for clipped cells and at \(x=1\). We first prove two finite-weight inequalities used in the proof of this proposition, then apply them to the cell law. We use the finite association inequality of Fortuin–Kasteleyn–Ginibre (Fortuin et al. 1971), including weights that vanish. Its precise form follows from the rounded-midpoint inequality stated and tensorized in Theorem 18: for nonnegative finitely supported arrays, the premise \(f(b)g(c)\le u(\lfloor(b+c)/2\rfloor)v(\lceil(b+c)/2\rceil)\) implies \((\sum f)(\sum g)\le(\sum u)(\sum v)\). Indeed, on a Boolean cube the rounded midpoints of \(b,c\) are their coordinatewise minimum \(b\wedge c\) and maximum \(b\vee c\). If a nonnegative weight \(w\) satisfies \(w(b)w(c)\le w(b\wedge c)w(b\vee c)\) and \(F,G\) are nonnegative increasing functions, then \[w(b)F(b)w(c)G(c) \le w(b\wedge c)w(b\vee c)F(b\vee c)G(b\vee c).\] Apply the midpoint inequality to \(wF,wG,w,wFG\), extended by zero outside the cube. Its conclusion is \((\sum wF)(\sum wG)\le(\sum w)(\sum wFG)\), which is association after normalization. Encode an element of a finite chain by a prefix of ones followed by zeros. The encoded product of chains is closed under minimum and maximum, so extension by zero proves the same result there. Adding constants to bounded increasing functions covers signed functions. This deduction explains every finite association use below; the midpoint tensorization itself uses no association statement. The wall decomposition below expresses the first-spin weight using two partition sums for the complementary spin. We record the two properties of those sums needed to compare first-spin configurations. Lemma 7 (The complementary-spin partition sum). For \(a\in[0,1]^E\) define \[ Z(a)=\sum_{\sigma\in\{-,+\}^{V}} \prod_{e=uv\in E}a_e^{\mathbf 1\{\sigma_u\ne\sigma_v\}}, \qquad 0^0=1. \tag{10}\] Then \(Z\) is increasing in every coordinate and is log-supermodular: \[ Z(a\wedge b)Z(a\vee b)\ge Z(a)Z(b). \tag{11}\] Proof. Monotonicity follows term by term. For positive coordinates the second assertion follows by differentiating in \(\log a_e\). For distinct edges \(e=uv\) and \(f=st\), \[\frac{\partial^2\log Z}{\partial\log a_e\,\partial\log a_f} =\mathop{\mathrm{Cov}}(\mathbf 1\{\sigma_u\ne\sigma_v\}, \mathbf 1\{\sigma_s\ne\sigma_t\}) =\tfrac14\mathop{\mathrm{Cov}}(\sigma_u\sigma_v,\sigma_s\sigma_t)\ge0.\] The last inequality is a special case of the second Griffiths inequality (Kelly and Sherman 1968); we recall its random-cluster proof (Fortuin et al. 1971, 102). Put \(J_e=-\frac12\log a_e\ge0\) and \(p_e=1-e^{-2J_e}=1-a_e\). Expanding \[e^{J_e\sigma_u\sigma_v} =e^{J_e}\bigl((1-p_e)+p_e\mathbf 1\{\sigma_u=\sigma_v\}\bigr)\] over edges gives a joint spin–bond law whose bond marginal on \(\omega\subset E\) has weight \[2^{k(\omega)}\prod_{e\in\omega}p_e \prod_{e\notin\omega}(1-p_e),\] where \(k(\omega)\) counts all connected components, including isolated vertices. This weight satisfies the lattice condition. Indeed, if \(\mathcal C(A)\) is the binary cycle space of the edge set \(A\), then \(\mathcal C(A)\cap\mathcal C(B)=\mathcal C(A\cap B)\) and \(\mathcal C(A)+\mathcal C(B)\subset\mathcal C(A\cup B)\). Taking dimensions and using \(k(A)=|V|-|A|+\dim\mathcal C(A)\) proves supermodularity of \(k\); the remaining edge factors are modular. The FKG theorem (Fortuin et al. 1971) therefore associates increasing bond events. Conditional on \(\omega\), the spins are independent fair signs on its components. Consequently \(\mathbb E(\sigma_u\sigma_v)=\mathbb P(u\leftrightarrow v)\), while the conditional expectation of \(\sigma_u\sigma_v\sigma_s\sigma_t\) is one precisely when each component contains an even number of the four listed vertices, counted with multiplicity, and is zero otherwise. In particular \[\mathbb E(\sigma_u\sigma_v\sigma_s\sigma_t) \ge\mathbb P(u\leftrightarrow v,\ s\leftrightarrow t) \ge\mathbb P(u\leftrightarrow v)\mathbb P(s\leftrightarrow t).\] This proves the required covariance inequality, also when the edges share vertices. The cases \(p_e\in\{0,1\}\) follow by continuity. Integrating the nonnegative mixed derivatives over coordinate rectangles gives (11); continuity of the polynomial \(Z\) includes its zero-coordinate cases. ◻ Proof of Proposition 6. We first sum the second spins by splitting their walls according to the first-spin sign. Lemma 7 will give the two-law inequality for this marginal. We then restore the statuses. Fix a first-spin configuration \(b\). A binary edge set is a second-spin wall precisely when it has even intersection with every triangle boundary. Indeed this condition makes its mod-two integral independent of the path from a fixed anchor, since triangle boundaries generate the cycle space. There are exactly two spin labelings for each such wall. Every allowed wall edge has homogeneous \(b\) endpoints. Split these edges according to their common sign. A homogeneous triangle has only one sign class. A mixed triangle has just one homogeneous edge, which its even rule forces to be absent. Thus none of the triangle equations couples the two sign classes. Each sign restriction of an allowed wall is itself a wall, and arbitrary walls supported in the two allowed sign sets can be combined. This proves factorization without an additional global compatibility condition. For an unobserved cell let \(r_y(b)=1\) if \(b\) is homogeneous there and \(r_y(b)=q_y\) otherwise. Define \(a_h^+(b)\) as follows: it equals \(x\) on edges of unobserved homogeneous-plus cells, equals \(1\) on observed open-plus cells, and is zero on all other edges. Set it to zero also on \(E_0\). Define \(a_h^-(b)\) with minus in place of plus. Summing the unobserved statuses and then the second spins gives the first-spin weight \[ w_h(b)=\frac{c_h}{2}\, \prod_{y\text{ unobserved}}r_y(b)\, Z(a_h^+(b))Z(a_h^-(b))\, \mathbf 1\{b\text{ satisfies its fixed sites}\}. \tag{12}\] Here \(c_h>0\) is the product of the observed-cell factors; these are constants because their first spins are fixed. The factor \(1/2\) is exact: each \(Z\) counts two global signs whereas the actual second-spin sum counts only two, not four. In particular \(E_0\) deletes wall coordinates and does not impose a relation between the two global signs. Formula (12) would in general fail on a graph with a hole if the missing cycle constraints were omitted, explaining our ambient triangulation convention. Let \(h_-\le h_+\) be ordered histories. For any \(b\) in the lower support and \(c\) in the upper support, \(b\wedge c\) belongs to the lower support and \(b\vee c\) to the upper support, also when pins occur in just one law. On an unobserved cell, homogeneous-plus eligibility at the meet is the intersection of the input eligibilities; at the join it contains their union. Therefore, coordinatewise, \[\begin{align*} a_{h_-}^+(b\wedge c)&\ge a_{h_-}^+(b)\wedge a_{h_+}^+(c),& a_{h_+}^+(b\vee c)&\ge a_{h_-}^+(b)\vee a_{h_+}^+(c),\\ a_{h_-}^-(b\wedge c)&\ge a_{h_-}^-(b)\vee a_{h_+}^-(c),& a_{h_+}^-(b\vee c)&\ge a_{h_-}^-(b)\wedge a_{h_+}^-(c). \end{align*}\] On observed cells the plus vectors are already ordered and the minus vectors reverse-ordered; hence the same inequalities hold there. Deleting the common coordinates \(E_0\) preserves all four inequalities. Furthermore \[r_y(b\wedge c)r_y(b\vee c)\ge r_y(b)r_y(c).\] To check this last assertion, comparable restrictions are unchanged by sorting. For incomparable restrictions both inputs are mixed, whereas each output has weight at least \(q_y\). A homogeneous input is extremal and cannot be lost. Applying monotonicity and (11) to each sign in (12) now proves \[ w_{h_-}(b\wedge c)w_{h_+}(b\vee c) \ge w_{h_-}(b)w_{h_+}(c). \tag{13}\] Observed-cell constants cancel. This also proves the lattice condition within either first-spin law. For clarity, zero weights and unequal supports cause no invocation of an unstated strictly positive version of Holley’s criterion (Holley 1974). Extend the weights by zero to the whole first-spin cube and put \(\widetilde w(b,0)=w_{h_-}(b)\), \(\widetilde w(b,1)=w_{h_+}(b)\). The two within-layer inequalities and (13) say that \(\widetilde w\) satisfies the lattice condition on the cube times \(\{0,1\}\). The nonnegative-weight FKG theorem (Fortuin et al. 1971) applies. For increasing \(f\), its positive covariance with the last coordinate says exactly \(\mathbb E_{h_-}f(B)\le\mathbb E_{h_+}f(B)\). The same theorem gives association of each first-spin law. This proves the needed extension to sorted supports. It remains to restore statuses. Given \(b\), each unobserved homogeneous cell is eligible to open with its sign; mixed cells are necessarily closed. Let \(S_+\) and \(S_-\) be the two open subsets of eligible cells. Wall factorization now gives independent weights for these subsets. Apart from constants their respective weights are \[ \prod_{y\in S_s}q_y \prod_{y\in I_s\setminus S_s}(1-q_y)\, Z\bigl(\mathbf 1\{e\text{ lies in an open cell of sign }s\} \mathbf 1\{e\notin E_0\}\bigr), \tag{14}\] where \(I_s\) is the eligible set and observed open cells of sign \(s\) are included as fixed allowed cells in the last factor. Different cells have disjoint edge sets. The Bernoulli factor is modular; the \(Z\) factor is log-supermodular in the cell set by (11). Thus each subset law is associated. The same two-law calculation shows stochastic increase under enlarging \(I_s\) or the fixed allowed cells: on a common subset cube the sorted allowed-edge sets contain the coordinatewise intersection and union, and the Bernoulli factors cancel. Ineligible cells are held closed. The preceding nonnegative-weight argument again handles these deterministic restrictions. Increasing \(b\) enlarges plus eligibility and shrinks minus eligibility. Hence \(S_+\) increases and \(S_-\) decreases in inclusion order, exactly the status order \(-<0<+\). Association of the minus block is also association in reverse inclusion order, since the covariance of decreasing functions equals that of their negatives. The two blocks are independent. If \(F,G\) are increasing functions of \((B,\tau)\), conditional association gives \(\mathbb E(FG\mid B)\ge\mathbb E(F\mid B)\mathbb E(G\mid B)\); the two conditional expectations are increasing in \(B\). Association of \(B\) completes the joint association claim. An ordered coupling of the first spins followed by ordered conditional status kernels gives the two-law assertion. If \(q_y=1\), a homogeneous unobserved cell is open deterministically, and an observed homogeneous closed cell is infeasible. All displayed inequalities remain valid on feasible supports, either directly or by continuity as \(q_y\uparrow1\); no division by \(1-q_y\) is used. Finally an extra open-plus cell in the upper law has the maximum possible status and first-spin values. Querying that same block in the lower law always gives ordered values and retains its correct distribution. This is observation in the other law, not imposition of the upper event on it. The open-minus case is symmetric. ◻ Remark 8. Proposition 6 asserts association of the joint law, not the lattice condition for its unsummed density. Nor does it allow observation of a closed status without its first spins. For example, on a single triangle conditioned only to be closed, the first-spin weight is \(1-q\) on the two homogeneous configurations and \(q\) on the six mixed ones. Its pair covariance is \((1-2q)/(1+2q)<0\) when \(q>1/2\). Online exploration and buffered circuitsWe next specify the probabilistic meaning of coupled exploration. This will matter again when the remaining interior is compared with a plane sample independent of exterior observables. Lemma 9 (Conditional kernels at a joint record). Consider two finite-volume laws ordered as in Proposition 6. There is an online exploration coupling with the following invariant: conditional on every full joint query record, the eventual completion in either coordinate has that coordinate’s original Gibbs conditional law given its own observed values and deterministic constraints. The next cell, together with all its first spins, may be chosen as any deterministic function of the joint record. If the retained conditional problems become identical, their completions can be sampled identically. Proof. At a joint record \(R\) let \(\mu_i^R\) be the two specified own-history conditional laws. Select a common query block \(Q=Q(R)\) and couple its marginals by an ordered kernel \(\kappa_R\), available from Proposition 6. For each possible pair of answers \((a_1,a_2)\) recursively complete with the respective conditional laws \(\mu_i^R(\cdot\mid Q=a_i)\). This is a finite recursion: every nonterminal query adds a new cell or site. At a terminal node with the same remaining specification, use one draw from that common law. At any other terminal node use any coupling of its two remaining laws. Backward induction proves the marginal invariant. For a completed observable \(f\) in coordinate \(1\), the expectation from the node \(R\) is \[\sum_{a_1,a_2}\kappa_R(a_1,a_2) \mu_1^R(f\mid Q=a_1) =\sum_{a_1}\mu_1^R(Q=a_1)\mu_1^R(f\mid Q=a_1) =\mu_1^R(f).\] The second coordinate is identical. Applying the same induction starting at any reached node gives the assertion conditional on the whole joint record, not merely on an individual history. Independent randomness used to select a query can be put in the record and conditioned on first. No conditioning of a previously sampled full-field coupling is involved. ◻ The following geometric exploration implements the lemma. In a prescribed annular search area authorize the honeycomb edges incident to favorable open \(Y\) cells; edges outside the area may be declared unavailable. Start from the exterior face set for an inward search, or from a connected inner face layer for an outward search. Invade across unauthorized honeycomb edges, querying the responsible cell and its full first-spin block in both laws when needed. On reaching a prescribed authorized circuit with clearance the invasion cannot cross it. The boundary of the invaded union of honeycomb faces consists of authorized contours. Select the component separating the start from the protected target, deleting inessential excursions to obtain a simple circuit. In an inward search this is the boundary around the component containing the connected target; in an outward search it is the outer boundary of the invaded set. There is no hidden revelation on the retained side. A queried cell touches the invaded face set. A honeycomb vertex strictly on one side of an edge contour touches only faces on that side. A queried cell meeting both sides therefore lies on the contour and is favorable open, so its retained first-spin sites have the prescribed contour sign. If a queried cell is not favorable, invasion crosses all its incident unauthorized edges; it cannot leave an unprescribed first-spin neighbor behind that cell. Thus the only retained sites queried are prescribed cut-layer first spins. Second-spin labels remain unqueried. In the absence of crossing \(E_0\) edges, Lemma 4 identifies the stopped retained law. Together with Lemma 9, this proves the exact stopped-cut and common-sampling assertions for either direction of exploration. Lemma 10 (Buffered circuits and paths). Fix a finite collection of annuli and tubes in a bounded planar region, each with a positive-width buffer and with prescribed geometric clearance. At mesh \(\delta\), suppose the buffers contain no equality edge \(E_0\) and no first-spin pin adverse to a requested sign. Then each request for good circuits, or connected good paths formed from a finite annular chain, has probability bounded below by a positive constant independent of \(\delta\) for all sufficiently small \(\delta\). The bound is uniform over feasible histories supported away from the buffers and over lattice translations preserving the clearances. Requests with the same sign may be combined by association; requests of different signs in disjoint buffers may be made successively. In an annular stack of fixed-ratio, separated slots between lattice scales \(r\) and \(L\), the probability of finding no requested good circuit is at most \[ C(r/L)^\alpha, \tag{15}\] for constants \(C,\alpha>0\). Moreover, conditioning a free ambient law on any deterministic collection of open-plus cells and their first-spin values increases every increasing event in \((B,\tau)\). This applies to a favorable path event in the ambient plane even when its path leaves the interior of a prescribed good contour. Proof. The primitive comparison takes place in a small filled regular disk whose entire larger comparison cut and interior fit inside the buffer. In that disk consider a smaller regular annulus. Delete favorable pins in the filled disk, which can only decrease the probability of the favorable increasing event. Prescribing the outer cut open with the adverse sign decreases it again by Proposition 6. There are no other constraints inside this small outer cut. Lemma 4 and Theorem 5 give a positive lower bound in the resulting deterministic regular problem. The same comparison applies after any allowed outside history. For a minus request reverse all first spins and the status order. For gluing, use regular annuli of inner radius \(\rho\) and outer radius \(2\rho\), with a small fixed geometric slack. Consecutive centers are separated by a distance strictly between \(\rho\) and \(2\rho\) in the triangular graph norm. Their inner balls intersect, and each inner ball has a point outside the other’s outer ball. Any two corresponding surrounding circuits must therefore intersect: disjoint Jordan curves with overlapping interiors would be nested, contradicting the latter property. Intersecting good honeycomb paths of the same sign join. Finitely many such annuli give a connected path following a prescribed tube. A closed chain following a polygonal Jordan curve gives a closed walk with the same winding number about its protected target, and hence a surrounding simple circuit. Choose the annuli small enough that their larger filled comparison disks stay in the buffer. Thus the target annulus may enclose arbitrary pins in its hole: none lies in these small comparison disks. Association multiplies their fixed positive probabilities. A general fixed collar is covered by a finite such chain. Rounding moves paths by only \(O(\delta)\). For requests in disjoint buffers expose the previous successful constructions only in those buffers and condition on their full allowed histories. The next buffer still has the same uniform bound, regardless of the previous sign. For a stack choose \(k\ge c_1\log(L/r)-c_2\) separated slots. Conditional on all previously inspected slots, failure in the next slot has probability at most \(1-c_3\). Thus the total failure probability is at most \((1-c_3)^k\), which is (15). Slots of bounded lattice size are absorbed into \(C\); no estimate at a sublattice scale is asserted. Finally a prescription of open-plus cells is an extreme upper constraint. Proposition 6 shows that it increases every increasing ambient event. This conclusion does not require the event to lie inside the prescribed contour. If an ambient favorable path runs from that contour to an interior target, the segment after its last intersection with the contour lies inside and connects its prescribed first-spin layer to the target. This observation requires no regularity or interior corridor for the contour itself. ◻ Proposition 11 (Local matching and the free plane law). There are \(C,\alpha>0\) with the following property. Suppose a finite ambient graph contains a ball of radius \(L\) together with its interaction cells, and its law has first-spin pins and second-spin equalities, none in that ball. Then its pair marginal in the concentric radius-\(r\) ball is within \(C(r/L)^\alpha\) in total variation of a common free plane law, for \(L\ge Cr\ge C\). The same is true with the statuses of either fixed choice of first color. The plane law is the local limit of free ambient laws along every exhaustion, and its unaugmented pair and increment laws preserve translations, lattice symmetries, and height symmetries. Adding extreme first-spin pins in a bounded inner region can be coupled to the original law so that the configurations agree beyond a common circuit of the added sign. If there are \(k\) separated favorable annular slots outside all the changes and no adverse pins or equality edges in their buffers, the failure probability is at most \(Ce^{-ck}\). All matches preserve the individual conditional marginals at every joint record as in Lemma 9. Proof. Inside the pin-free radius-\(L\) ball choose a deterministic regular open-minus cut of radius comparable to \(L\). Let \(\mu^-\) be the original law with this extra prescription. It is below the original law \(\mu\). Query the cut cells also in \(\mu\), and use the ordered online kernels thereafter. Search inward in separated annular slots for a good plus circuit in the lower law. By Lemma 10, the failure probability is \(C(r/L)^\alpha\). A plus cell in the lower law is plus also in the upper law, so the selected circuit is common. The exploration geometry just proved leaves identical inner conditional problems, with no equality edges or pins. Sample them once, including their free second-spin component labels. The inside law of the deterministic minus cut is independent of all the original exterior constraints. Thus every eligible \(\mu\) is within \(C(r/L)^\alpha\) of this common comparison law on the small ball. For two free ambient volumes containing a radius-\(L\) ball this gives a total-variation distance at most \(2C(r/L)^\alpha\) on the radius-\(r\) ball. The finite-state local marginals are Cauchy along any exhaustion. Their consistent limits define a plane law. Comparing any given finite ambient law first with a much larger free volume and then taking its limit gives the claimed bound, with a changed constant. Apply the same argument to translated, reflected, rotated, or spin-rotated exhaustions to obtain the stated invariances. The augmentation itself singles out one partite class, so only its corresponding lattice symmetries are asserted; the unaugmented interaction (7) has all lattice symmetries. For additional plus pins search outward for a good plus circuit in the lower law; every such circuit is common. On its exterior the deterministic constraints agree and the stopped specifications are identical. The upper law can therefore use the same exterior sample. For additional minus pins reverse the order and the signs. The slot bound gives \(Ce^{-ck}\). The correctness of all marginal conditionings follows from the finite recursion of Lemma 9, followed only then by volume limits. ◻ Two consequences of this formulation will be useful. First, every feasible finite event consisting of first-spin pins and finitely many connected second-spin plus constraints has positive plane probability. Find an exterior-searched good circuit around its entire support, an event of positive probability. In the finite inside law, make the second spin constant plus and prescribe the desired first spins; every such first-spin configuration has positive total weight. The finite conditional probability is positive. Second, all finite conditional identities pass to the plane by exhaustion, since the event being conditioned on has positive probability. In particular height interiors with fixed traces have the Gibbs property in the plane construction. The next conditional form will let us match a local increment field with a plane copy independent of distant absolute-height observations. Its hypothesis concerns the retained law after an exact cut; arbitrary exterior spin labels without such a cut are not a conditioning class in Proposition 11. Corollary 12 (Plane matching after a stopped cut). Let \(\mathcal R\) be an exterior record, and let \(G\) be its successful-search event, determined by that record. Suppose that on every successful record a good circuit surrounds \(B(z,L)\) together with its interaction cells, and that conditional on this record the retained law is the open-cut law of Lemma 4, with no additional inside pins or equality edges. For \(L\ge Cr\ge C\), the pair variables in \(B(z,r)\) can be coupled with variables \(P_r\) of the fixed free-plane marginal \(\nu_r\) so that \[\mathbb P(P_r\in A\mid\mathcal R)=\nu_r(A) \quad\text{for every event }A, \qquad \mathbb P(\text{mismatch}\mid\mathcal R)\le C(r/L)^\alpha \quad\text{on }G.\] The same plane marginal is assigned on failure. Consequently \(P_r\) is independent of the entire record and the total mismatch probability is at most \(\mathbb P(G^c)+C(r/L)^\alpha\). Agreement of pair variables also matches increments along paths contained in \(B(z,r)\). Proof. The local comparison proof applies uniformly to the retained open-cut law. To see this directly, put a deterministic regular open-minus circuit inside \(B(z,L)\) at a radius comparable to \(L\). Adding this prescription lowers the first-color/status law by Proposition 6. The old boundary prescriptions are outside this regular circuit. Search inward for a common open-plus circuit and use the same annular stack and exact inside sampling as in Proposition 11. The error is \(C(r/L)^\alpha\), independently of the old circuit and its exterior record. The law inside the deterministic minus circuit is independent of that record. Comparing it with the free-plane law gives the stated conditional total-variation bound, with a changed constant. For each record choose a maximal coupling of its retained marginal with the same second marginal \(\nu_r\). On failed records use that second marginal and any coupling. On these finite local state spaces the usual maximal-coupling formula gives a measurable kernel. The conditional second-marginal identity in the statement proves independence from \(\mathcal R\), and averaging the mismatch bound proves the final estimate. For a stopped exploration from Lemma 9, assume there are no additional pins or equality edges inside the cut and no equality edge crosses it. The geometric invasion above records only the prescribed first-color cut layer on the retained side. Exterior second-spin labels, including those needed to read absolute heights along exterior paths, reveal no retained component label: open crossing cells have constant factors and no equality edge crosses the cut. Lemma 4 therefore verifies the retained-law hypothesis for precisely these records. Retained second-spin labels must remain unobserved. ◻ If a connected fixed skeleton has constant \(W\) by equality edges, giving its component the actual label plus has conditional probability exactly \(1/2\), independent of \((B,\tau)\). Thus it does not bias any first-spin search. More generally, at most \(m\) connected all-plus constraints have conditional probability between \(2^{-m}\) and \(1\); any failed-search probability increases by at most \(2^m\) after imposing them. Once a stopped open cut separates all these constraints from a retained region containing no other pins or equality edges, revealing their labels fixes no retained component. Its conditional law is the unlabelled open-cut law. Applying Corollary 12 inside a cut at an intermediate scale gives local plane matching also in this situation, with constants depending on \(m\) and, if necessary, a smaller positive exponent. For example a cut between \(\sqrt{rL}\) and a fixed fraction of \(L\) has failure \(C_m(r/L)^{\alpha/2}\) and leaves an inside comparison error of the same order. Absolute exterior heights may be included in the record by revealing paths from their sites to an exterior anchor; the inner complementary labels remain unqueried. Zero-total interior tests do not depend on the unspecified lift offset. Multiplicative comparison for rare pinsAdditive mixing does not control an event whose probability tends to zero with the mesh. We next prove the comparison that will be used for such events. All geometric neighborhoods in this proposition are fixed before letting \(\delta\) tend to zero. Proposition 13 (Separated rare pins). Fix \(k\) bounded filled simply connected neighborhoods \(U_1,\ldots,U_k\) with disjoint closures. In each \(U_i\) let \(P_i\) prescribe arbitrary first spins on a finite site set and prescribe second-spin plus on at most \(m_i\) connected lattice subgraphs, singletons allowed. Assume the supports stay a fixed positive distance from \(\partial U_i\), so that isolating circuit collars fit inside \(U_i\), and let \(m=\sum_i m_i\) be fixed. In the free plane law, \[ c\prod_{i=1}^k\mathbb P(P_i) \le \mathbb P\Bigl(\bigcap_{i=1}^kP_i\Bigr) \le C\prod_{i=1}^k\mathbb P(P_i). \tag{16}\] The constants depend on \(x\), \(k\), \(m\), and the fixed buffers, but not on the numbers of pinned sites, the lengths of the connected subgraphs, or lattice translations preserving the buffers. The comparison also holds in finite free ambient volumes containing all the required comparison collars. Previous pins inside the currently considered obstacle are retained in both comparison laws. Proof. We first establish a single-sign comparison under arbitrary existing first-spin pins and second-spin equalities. Consider an obstacle \(K\) with an empty collar, and an event \(A\) adding only first-spin pins of sign \(s\) on \(K\). There can be previous pins of either sign inside \(K\), as well as equality edges there. Choose a deterministic outer good cut \(\gamma_s\) of sign \(s\) in the collar. Let \(p_*\) be the probability of \(A\) in the law with this additional cut. By the exact-cut lemma, \(p_*\) depends on the previous inside constraints and on the chosen outer cut, but not on any remote constraints. Order gives \[ \mathbb P(A)\le p_*. \tag{17}\] For minus pins this is the same assertion in reversed order. An exterior search finds a closer good cut \(C_s\) of sign \(s\) in a strictly inner collar with probability at least \(c_0>0\), uniformly over all existing constraints. Conditional on any stopped successful record, the remaining conditional probability of \(A\) is exactly its probability inside \(C_s\), with all previous internal constraints retained. In the deterministic outer-cut law, conditioning on this particular closer favorable cut increases the event \(A\). Its inside law is the same by Lemma 4; hence the conditional probability is at least \(p_*\). Averaging over successful records proves \[ c_0p_*\le\mathbb P(A)\le p_*. \tag{18}\] In particular probabilities under two different remote constraint sets are comparable whenever their previous internal constraints coincide. This argument retains opposite pins inside the obstacle; it does not erase them when the next sign block is considered. Write \(E_i\) for the event that each of the specified second-spin subgraphs in obstacle \(i\) is constant, and \(L_i\) for the event that their labels are all plus. Initially impose no first-spin pins. Apply (18) with \(W\) as first color to the events \(L_i\), obstacle by obstacle. Each conditional factor, given earlier obstacles, is comparable with its unconditional factor, because those constraints are remote and the same reference cut can be used. Therefore \[\mathbb P\Bigl(\bigcap_i L_i\Bigr)\asymp\prod_i\mathbb P(L_i).\] The component-label estimate gives, both jointly and separately, \[2^{-m}\mathbb P\Bigl(\bigcap_i E_i\Bigr) \le\mathbb P\Bigl(\bigcap_i L_i\Bigr) \le\mathbb P\Bigl(\bigcap_i E_i\Bigr),\qquad 2^{-m_i}\mathbb P(E_i)\le\mathbb P(L_i)\le\mathbb P(E_i).\] Consequently \(\mathbb P(\bigcap_iE_i)\asymp\prod_i\mathbb P(E_i)\). Now regard all \(E_i\) as the common equality set \(E_0\) for the original first color. Let \(A_i\) be its prescribed first-spin event. Add the plus pins in obstacle \(1\), then its minus pins, then the two blocks in obstacle \(2\), and so on. At each step (18) compares the conditional probability with the same factor in the individual law conditioned on \(E_i\) and on earlier sign blocks in this obstacle. Remote \(E_j\) and earlier remote first-spin pins disappear behind the reference cut. Previous internal plus pins remain when the minus block is added. There are at most \(2k\) factors, so multiplication gives \[\mathbb P\Bigl(\bigcap_i A_i\,\Bigm|\,\bigcap_i E_i\Bigr) \asymp\prod_i\mathbb P(A_i\mid E_i).\] Combining with the equality comparison gives \(\mathbb P(\bigcap_i(A_i\cap E_i))\asymp \prod_i\mathbb P(A_i\cap E_i)\). Finally restoring all the actual plus labels costs a factor between \(2^{-m}\) and \(1\), even after the arbitrary first-spin pins and statuses have been specified. The same holds individually with \(m_i\). Since \(P_i=A_i\cap L_i\), this proves (16). Every comparison was finite-volume and uniform. Positive probability of the finite pin events permits passage to the plane limit. No division by a mesh-dependent lower bound for a pin probability occurred. ◻ Protected switches and height orderA spin configuration records height only modulo four. The next switch changes an integer lift by four in a protected region while preserving both of its spins. It will supply nonzero height fluctuations and allow the moment argument to compare different integer-offset parity classes. Lemma 14 (Protected component switch). Suppose two nested good circuits have opposite first-spin signs. Between and on the two circuits assume there are no second-spin equality constraints or prescribed second-spin labels. Conditional on the first spins and cell statuses, there is a deterministically selectable second-spin component in that collar whose fair label flip changes the integer lift throughout the protected inner region by \(+4\) or \(-4\) relative to the protected exterior, while preserving both spins in both protected regions. The selection uses only the first spins, statuses, equality edges, and the two circuits. It therefore preserves any stopped selection of the circuits based on these data. For disjoint collars the switches commute and give equally weighted orbits containing every parity vector of the corresponding inner lift offsets in \(4\mathbb Z\). Spin constraints and comparisons of lifts along paths inside the protected regions are preserved. With the height anchor fixed in the protected exterior, a test supported there is unchanged; a zero-total test supported entirely in the protected inner region is also unchanged. Opposite good cuts can be required in any fixed nested pin-free collars with uniformly positive probability. The assertion holds with the two colors interchanged. Proof. For an oriented edge, direct use of (8) gives \[ d(H+BW/2)=W\,dB. \tag{19}\] Whenever \(B\) changes, \(W\) is constant on that edge and its endpoints belong to the same closed-cell component. For such a component \(C\) define an edge form \(\omega_C\) equal to \(dB\) on its changing edges and zero on the other edges. On any triangle the two changing edges, if present, share a vertex and consequently belong to the same component. Their contributions cancel. Thus \(\omega_C\) has zero circulation and, by simple connectedness, has a potential \(\psi_C\). On \(C\) one has \(\psi_C=B+\text{constant}\), since this is true along each closed-cell or equality edge of a component path. Every site outside \(C\) can be joined to a first site of \(C\) by a path whose preceding edges have zero \(\omega_C\). A changing last edge would put both endpoints in \(C\), so it too has zero form. Hence every value of \(\psi_C\) is a value attained on \(C\), and its range has diameter at most two. In particular its nonzero differences are \(\pm2\). Open cuts prevent these components from crossing either circuit. Choose a path in the collar from the exterior-side layer of the inner circuit to the interior-side layer of the outer circuit. The difference of its first-spin endpoints is \(\pm2\). Since \(\sum_Cd\psi_C=dB\), at least one component meeting this path contributes a difference \(\pm2\). Such a component is confined to the collar; its potential is constant on each connected protected inner and outer region. Choose the first such component in a fixed deterministic order. No label of this component is prescribed. Let its label be \(w\in\{-,+\}\). Flipping it changes the right side of (19) by \(-2w\,d\psi_C\). Neither endpoint spin changes in the protected regions, so their relative height shift is \(-2w(\pm2)=\pm4\). Anchor the lift in the protected exterior to fix its absolute value there. The flip is an involution preserving its conditional probability because the label is fair. The chosen component and circuits are unchanged by this operation, since they depend only on \((B,\tau,E_0)\). A switch changes an inner offset \(4t\) to \(4(t\pm1)\) and therefore reverses its parity. Switches in disjoint collars act on disjoint components and commute. Every orbit has \(2^j\) equally weighted elements for \(j\) collars and visits each parity vector exactly once. This conclusion remains true after imposing any checks invariant under the switches; it asserts an orbit identity, not independence after arbitrary checks. The statements about tests follow from their supports and total weights. If a central event involves absolute offsets and is not invariant, one must enlarge its bounded range to contain the orbit before applying this identity. Finally apply Lemma 10 successively in two disjoint nested collars to require opposite signs, with the given constraints away from both buffers. Swapping the colors is a symmetry of the Gray representation. ◻ Lemma 15 (Height comparison and flat loops). Let the free sites be in bounded faces of a connected triangular-lattice skeleton of fixed integer trace. Include all neighbors of free sites up to that trace. The weighted height law is positively associated, and ordered feasible traces give stochastically ordered laws. The assertion also applies after restricting to components separated by further fixed curves. With constant trace, the changing dual edges are disjoint closed honeycomb loops. Given their unoriented geometry their jumps are independent fair signs. Exposing such loops from the outside leaves in each unexposed interior the empty-exterior loop law with the appropriate constant inner boundary layer. Proof. Write the edge potential as \[V(t)=\begin{cases}-(\log x)|t|,&t\in\{-1,0,1\},\\ +\infty,&\text{otherwise}. \end{cases}\] This is a convex extended-real potential on the integers. For two admissible arrays \(h,g\), sorting their endpoint values gives on each edge \[V((h\wedge g)_v-(h\wedge g)_u) +V((h\vee g)_v-(h\vee g)_u) \le V(h_v-h_u)+V(g_v-g_u).\] For completeness, if the endpoint orders agree this is equality. If they disagree, write the four ordered endpoint values; sorting replaces two crossing intervals by two nested pairings and cannot increase the sum of their lengths. The new edge differences lie between the two old ones, so their absolute values remain at most one. Since \(-\log x\ge0\), the displayed inequality follows, including \(x=1\). Ordered traces put the meet in the lower support and the join in the upper support. Multiplying the edge inequalities proves the within-law lattice condition and the two-law inequality. Heights are bounded in this finite problem by the trace bounds plus graph distance to the trace. FKG and the product-with-\(\{0,1\}\) argument used in Proposition 6 therefore give association and ordered comparison on a finite lattice, with inadmissible arrays assigned zero weight. On each triangle integer Lipschitz heights take at most two consecutive values. Its dual honeycomb vertex consequently has either zero or two changing edges. Constant trace prevents such edges from ending on the bounding skeleton. They thus form mutually vertex-disjoint loops. A loop lying in a bounded face of the connected skeleton cannot enclose any piece of that skeleton: a connection from that piece to the bounding skeleton would cross the loop. Every choice of one of two jump signs for each loop therefore yields exactly one admissible height field with the specified constant trace. Its weight is \(x\) to the total loop length, independent of all the signs. Conditional jumps are independent and fair, and the marginal geometric weight is \(2\) per loop times \(x\) per occupied edge. For a fixed exposed loop, the loops strictly inside cannot touch its vertices. The edge and loop factors split between inside and outside; the inside boundary face layer has a constant height. Selecting the next enclosing loop by an exploration depending only on already exposed outside geometry does not inspect a strict inside edge. Summing the product weights over completions, or equivalently conditioning the constant inner height layer, proves the same factorization at each stopping step. This is the asserted empty-exterior law and applies without regularity of the exposed loop. Finally the ambient realization in Lemma 3, with constant pair pins on the connected skeleton, gives the same flat height problems used above. ◻ Every use of a positive-width buffer in later sections has the following order of quantifiers: first fix the finite geometry, its clearances, and its number of requests; next let \(\delta\downarrow0\); only afterwards shrink a gap or exceptional window. The constants of this section may depend on that fixed geometry and on the fixed parameter \(x\). No uniformity as \(x\) varies or as a buffer degenerates is asserted. Shell counts and smearing momentsAll distances in this section are in lattice units. A smearing of radius \(a\geq1\) and weight bound \(A\) is a linear statistic \[ Y(H)=\sum_u w_uH(u),\qquad \mathop{\mathrm{supp}}w\subset B(z_0,a),\qquad \sum_u|w_u|\leq A,\qquad \sup_u|w_u|\leq Aa^{-2}. \tag{20}\] The weights are real and may have either sign. If \(\sum_uw_u=0\), we call the smearing zero-total; its value is independent of the additive constant in the height lift. Constants throughout may depend on the fixed parameter \(x\). The bounded height problems below use the convention of Lemma 15: a connected fixed-trace lattice skeleton bounds the free sites, and every incident interaction up to that trace is retained. This includes the interior of a stopped contour after its inner face layer has been fixed. The skeleton need not be convex or have a lower bound on the widths of its fjords. We will prove two bounds for these smearings, for every finite \(p\geq1\). Suppose the radius \(a\) is at most a fixed small fraction of the distance \(n\) from the smearing center to the trace. If that trace has magnitude at most \(K\), the \(L^p\) norm is controlled by \(1+K+\sqrt{\log(n/a)}\). For zero-total smearings in the free plane law, the norms are bounded independently of \(a\). The common starting point is a bound on the number of enclosing loops in each shell. It gives a logarithmic covariance estimate and hence positive mass in a central interval; rounded midpoints then turn that central mass into all finite moments. A shell estimate without an upper crossing inputLemma 16 (Geometric tails for shell counts). In a finite constant-boundary height problem, let \(N_d(z)\) be the number of level loops surrounding a site \(z\) whose Euclidean closest approach to \(z\) belongs to \([d,2d)\), where \(d\geq1\). There are \(c,C>0\) such that \[ \mathbb P\{N_d(z)\geq t\}\leq Ce^{-ct}\qquad(t\geq0). \tag{21}\] In particular, for each finite \(p\geq1\), \(\mathbb EN_d(z)^p\leq C_p\). These constants are independent of the shape, \(z\), and \(d\), and the same assertions hold in any bounded face of a connected flat skeleton. Proof. A constant shift reduces to boundary height zero. Conditional on their unoriented geometry, the level loops have independent fair height increments. Expose enclosing loops from outside inward, using the stopping rule in Lemma 15. If the first loop counted by \(N_d(z)\) exists, its unexplored interior has the empty-exterior loop law with a constant inner trace. Its distance from \(z\) is at most \(2d+O(1)\). Every further counted loop surrounds \(B(z,d/2)\), for all sufficiently large \(d\). The factor \(1/2\) provides clearance from all rounding and incident-face conventions. We first prove a uniform obstruction in any such remaining domain. Suppose an exterior search finds a good open-plus \(B\) contour \(C\) strictly inside its boundary, surrounding \(B(z,d/2)\). Choose the outermost such contour by the authorized-edge invasion following Lemma 9. The search exposes only exterior history and the prescribed open-plus cut data. In particular it reveals no strict interior cell and leaves the exact cut law of Lemma 4 inside \(C\). Moreover \[ d/2\leq\mathop{\mathrm{dist}}(z,C)\leq2d+O(1). \tag{22}\] There is a number \(\kappa>0\), independent of \(C\), such that under this interior law a \(B\)-plus path joins its prescribed inner layer to \(B(z,d/2)\) with probability at least \(\kappa\). Here are geometric and conditional details of this last assertion. Fix a sufficiently small constant \(\epsilon>0\), and choose a closest point \(p\) of \(C\) to \(z\). Realize the same interior law in a new free ambient triangulation containing \(B(z,10d)\), conditioned only on the same open-plus cells and first-spin sites of \(C\). Exact cutting justifies this replacement even for an arbitrarily nonconvex \(C\). In this ambient graph request a good plus circuit in an annulus about \(p\) with radii \(\epsilon d\) and \(2\epsilon d\). Since \(C\) visits the inner ball and surrounds \(B(z,d/2)\), it must exit the outer ball and intersect this circuit. Next request a chain of annular plus circuits of these same radii, from \(p\) to an annulus wholly inside \(B(z,d/2)\). The centers may follow a straight segment in the ambient plane. Choose successive spacings strictly between \(\epsilon d\) and \(2\epsilon d\), with fixed slack. The inner balls of consecutive annuli overlap and each protrudes outside the other’s outer ball. Consequently their surrounding circuits intersect: disjoint circuits would have either disjoint interiors, contradicting the overlap, or nested interiors, contradicting that protrusion. Equation (22) bounds the number of requests by a constant depending only on \(\epsilon\). Bounded lattice displacements are absorbed by the slack. Lemma 10 and positive association give a fixed positive probability for their intersection in the free ambient law. All the data imposed on \(C\) are favorable for this increasing event, so Proposition 6 gives the same lower bound after conditioning on \(C\). The connected circuit chain contains a path from \(C\) to the terminal circuit inside the disk. Take its last intersection with \(C\) before that endpoint. The remaining path stays inside \(C\), since otherwise planar separation would force another intersection. Its adjacent plus face chain therefore joins the prescribed inner layer to the disk. This proves the asserted lower bound \(\kappa\). In particular this connection precludes a deeper \(B\) wall surrounding the disk. The ambient chain was allowed to leave \(C\); no interior corridor of prescribed width was assumed. To turn this obstruction into a bound on the number of loops, let \(N\) be the number of further qualifying enclosing loops in the remaining flat problem. Closest approach is nonincreasing under nesting, so the qualifying loops are consecutive in the enclosing nesting order until their closest approach falls below \(d\). Conditional on all unoriented geometry, write the height residues along them as a nearest-neighbor walk on \(\mathbb Z/4\mathbb Z\), with independent fair signs. From every starting residue there is a prescribed block of four signs that contains a \(W\) wall with unchanged \(B=+\), followed inward by a \(B\) wall. For example, starting from residues \(0,1,2,3\), respectively, the initial strings \(++\), \(--\), \(---\), \(+++\) have that property; complete each to four signs arbitrarily. Every chosen four-sign block has probability \(1/16\). Hence, on \(\{N\geq k\}\), the conditional probability of seeing this ordered pair of walls among the first \(k\) loops is at least \[1-\varepsilon_k, \qquad \varepsilon_k=(15/16)^{\lfloor k/4\rfloor}.\] The statement follows by conditioning successively on the starting residue of each block; independence between block-success events is not required. Call this ordered-wall event \(\mathcal A\). A \(W\) wall with \(B=+\) is a good open-plus contour, because every cell at which \(W\) is nonconstant is necessarily open. Thus \(\mathcal A\) implies existence of the exterior-searched outermost plus cut above and of a \(B\) wall strictly inside it surrounding the disk. The preceding obstruction, conditioned on every possible stopped cut, yields \[(1-\varepsilon_k)\mathbb P(N\geq k) \leq\mathbb P(\mathcal A)\leq1-\kappa.\] Choose a fixed integer \(k\) with \(\varepsilon_k\leq\kappa/2\) and put \(\rho=(1-\kappa)/(1-\kappa/2)<1\). The probability of continuing for \(k\) further qualifying loops is at most \(\rho\). After exposing these \(k\) loops, the last one’s interior is again an empty-exterior flat problem of exactly the same type, with closest boundary distance at most \(2d+O(1)\). Restarting conditionally gives \[\mathbb P\{N_d(z)\geq1+mk\}\leq\rho^m\qquad(m\geq0).\] This is a stopping recursion; it asserts no independence of successive geometric shells. It proves (21) for sufficiently large \(d\). For bounded \(d\), each counted loop visits a fixed-size ball and the loops have disjoint honeycomb vertices, giving a deterministic bound on their number. Finally, integration of the exponential tail gives every stated moment. ◻ Lemma 17 (Common loops and the logarithmic covariance bound). Let the flat trace be zero, let \(n\) be the distance from \(z_0\) to its bounding skeleton, and let \(z,w\in B(z_0,a)\), where \(1\leq a\leq c_0n\) for a sufficiently small absolute \(c_0\). With \(b=\max(1,|z-w|)\), \[ 0\leq\mathbb E[H(z)H(w)] \leq C\left(1+\log\frac{n}{b}\right). \tag{23}\] Every smearing (20) in this ball therefore satisfies \[ \mathbb EY^2\leq C A^2\left(1+\log\frac{n}{a}\right). \tag{24}\] Proof. The independent centered loop orientations give the exact identity \[ \mathbb E[H(z)H(w)] =\mathbb E\#\{\text{level loops surrounding both $z$ and $w$}\}. \tag{25}\] Fix a dyadic closest-approach shell \([d,2d)\) about \(z\) with \(d\leq b/100\). A loop surrounding both sites and entering \(B(z,2d)\) must also leave a ball about \(z\) of radius comparable to \(b\); otherwise it could not enclose \(w\). It supplies a wall arm across the intervening annuli. Along the whole loop exactly one of \(B,W\) changes. A good circuit of that color cannot be crossed by its wall, since the circuit’s open cells have constant first spin. Use the wall color as the first spin. The zero-height skeleton fixes that first spin and imposes constancy of the second spin along a connected skeleton. Represent the latter constancy by \(E_0\) edges. Its actual constant label costs exactly \(1/2\), independent of the first spins and statuses, and hence does not change their marginal. All arm annuli lie away from the skeleton, since \(b\leq2a+1\) and \(c_0\) is small. The logarithmic circuit stack from Lemma 10, applied for each of the two possible wall colors, consequently gives \[ \mathbb P\{\text{such a common loop exists in the shell}\} \leq C(d/b)^\alpha. \tag{26}\] If \(M_d\) counts common loops in this shell, then \(M_d\leq N_d(z)\) and \(M_d=0\) outside the event in (26). Cauchy–Schwarz and Lemma 16 imply \[\mathbb EM_d\leq (\mathbb EN_d(z)^2)^{1/2} \mathbb P(M_d>0)^{1/2} \leq C(d/b)^{\alpha/2}.\] Loops at distance below one give a deterministic bounded contribution by disjointness. The sum over the small dyadic scales is bounded. Each of the \(O(1+\log(n/b))\) remaining shells contributes at most a constant. There are no shells beyond scale \(O(n)\): a nearest skeleton site is outside every enclosing loop, so the segment from \(z\) to that site meets the loop within distance \(n+a+O(1)\). These facts and (25) prove (23). For completeness the average of the singularity is uniformly bounded, including its diagonal. Triangular-lattice balls have at most \(C(1+r)^2\) sites. For fixed \(z\), the layer-cake formula gives, when \(a>1\), \[\begin{align*} &\sum_w |w_w|\log^+\frac{a}{\max(1,|z-w|)}\\ &\qquad=\int_0^{\log a} \sum_{\max(1,|z-w|)<ae^{-t}}|w_w|\,\,\mathrm dt \leq C A a^{-2}\int_0^{\log a}a^2e^{-2t}\,\,\mathrm dt \leq C A. \end{align*}\] For \(a=1\) the sum vanishes. Sum (23) against \(|w_zw_w|\), separate the constant term \(\log(n/a)\), and use this bound and \(\sum|w_z|\leq A\). This proves (24) for arbitrary signed weights. ◻ Weighted midpoint amplificationWe use the discrete midpoint inequality of Klartag–Lehec (Klartag and Lehec 2019) in the nonnegative-function formulation of Gozlan–Roberto–Samson–Tetali (Gozlan et al. 2021, Theorem 3). Its one-dimensional finite-support statement follows directly from their entropy inequality (Gozlan et al. 2021, Theorem 8, equation (9)), including zero weights. We give that deduction, its coordinate induction, and all additional hypotheses used here. Theorem 18 (Discrete midpoint inequality). Let \(f,g,u,v:\mathbb Z^m\longrightarrow[0,\infty)\) have finite support, and write \(m_-(s,t)=\lfloor(s+t)/2\rfloor\) and \(m_+(s,t)=\lceil(s+t)/2\rceil\), with coordinatewise rounding. If, for every \(s,t\in\mathbb Z^m\), \[f(s)g(t)\leq u(m_-(s,t))v(m_+(s,t)),\] then \[\left(\sum f\right)\left(\sum g\right) \leq\left(\sum u\right)\left(\sum v\right).\] Proof. First let \(m=1\). Write \(A=\sum f\) and \(B=\sum g\). If either is zero there is nothing to prove. Otherwise let \(\nu_0=f/A\) and \(\nu_1=g/B\), and couple them monotonically: take their quantile functions at the same uniform point of \((0,1)\). Let \(\pi\) be this coupling, and let \(\nu_-,\nu_+\) be its pushforwards by the floor and ceiling midpoint maps. The entropy theorem just cited states \[\mathcal H(\nu_-)+\mathcal H(\nu_+) \le\mathcal H(\nu_0)+\mathcal H(\nu_1), \qquad \mathcal H(\nu)=\sum_z\nu(z)\log\nu(z),\] for finitely supported probability measures on \(\mathbb Z\), with zero terms omitted. Every pair charged by \(\pi\) has \(f(s)g(t)>0\); the pointwise hypothesis therefore makes both corresponding output weights positive. All logarithms below are thus evaluated on finite positive supports. Integrating the logarithm of the pointwise hypothesis and then using the entropy inequality gives \[\begin{align*} \log A+\log B &\le\sum_z\nu_-(z)\log u(z)+\sum_z\nu_+(z)\log v(z) -\mathcal H(\nu_0)-\mathcal H(\nu_1)\\ &\le\left(\sum_z\nu_-(z)\log u(z)-\mathcal H(\nu_-)\right) +\left(\sum_z\nu_+(z)\log v(z)-\mathcal H(\nu_+)\right)\\ &\le\log\sum_z u(z)+\log\sum_z v(z). \end{align*}\] The last inequality is Jensen’s inequality applied to \(\sum\nu\log(a/\nu)\) on the positive support of each probability measure; adding any unused nonnegative weights only enlarges the sum. Exponentiating proves the scalar statement without modifying zero values or assuming that a positive approximation preserves its premise. For the induction step write \(s=(s',a)\) and \(t=(t',b)\). Fix \(s',t'\) and apply the one-dimensional theorem in \(a,b\). For the partial sums \(F(s')=\sum_a f(s',a)\), and likewise \(G,U,V\), its conclusion is \[F(s')G(t')\leq U(m_-(s',t'))V(m_+(s',t')).\] The induction hypothesis in the other \(m-1\) coordinates proves the claim. No factorization of the functions is used. A finite array is extended by zero to \(\mathbb Z^m\); the premise must still be checked on every pair of its nonzero input supports. ◻ Lemma 19 (Admissibility and energy at rounded midpoints). Let \(\mathcal S\) be the integer \(1\)-Lipschitz arrays on a finite connected graph, with fixed integer heights on a nonempty set of vertices. Set \[\mathcal W(h)=\mathbf 1_{\{h\in\mathcal S\}} x^{\sum_{\{i,j\}}|h_i-h_j|}.\] Then \(\mathcal S\) is finite, both rounded midpoints of \(s,t\in\mathcal S\) belong to \(\mathcal S\), and \[ \mathcal W(m_-(s,t))\mathcal W(m_+(s,t))\geq \mathcal W(s)\mathcal W(t). \tag{27}\] Moreover a linear statistic with \(\sum|w_i|\leq A\) obeys \[ \left|Y(m_\pm(s,t))-\frac{Y(s)+Y(t)}2\right|\leq A/2. \tag{28}\] The same energy inequality holds with additional support constraints whenever both outputs satisfy those constraints. Proof. One fixed height bounds every coordinate by its graph distance from that vertex, so the array is finite. For an edge \(ij\) put \(a=s_i-s_j\) and \(b=t_i-t_j\). If \(c,d\) are its differences in the two rounded arrays, and \(\varepsilon_i\) is the parity of \(s_i+t_i\), then \[c=\frac{a+b-\varepsilon_i+\varepsilon_j}{2},\qquad d=\frac{a+b+\varepsilon_i-\varepsilon_j}{2}.\] Thus \(c+d=a+b\), \(|c-d|\leq1\), and \(c,d\) are its two nearest integer halves. In particular \(c,d\in\{-1,0,1\}\) and \[|c|+|d|=|a+b|\leq|a|+|b|.\] Each fixed integer coordinate is preserved exactly. Summing over edges and using \(x\leq1\) proves (27), including \(x=1\). Each rounded coordinate differs from its average by at most \(1/2\), which proves (28) even for signed weights. ◻ Lemma 20 (Central mass in finitely many classes). Let \(\mu(h)=\mathcal W(h)/Z\) be a finite probability measure on integer arrays. Partition its support into at most \(J\) classes. Suppose that two arrays from the same class have both rounded midpoints in the full support, with the weight inequality (27). Let \(Y\) be a linear statistic satisfying (28). If \(M>0\), \(M\geq A/2\), and, for every class \(\mathcal S_i\), \[ \mu\bigl(\mathcal S_i\cap\{|Y|\leq M\}\bigr)\geq c>0, \tag{29}\] then there are \(a_*>0\) and \(C_p<\infty\), depending only on \(J,c,p\), such that \[ \mu\{|Y|>tM\}\leq4e^{-a_*t}\quad(t\geq0), \qquad \|Y\|_{L^p(\mu)}\leq C_pM\quad(1\leq p<\infty). \tag{30}\] Outputs may belong to any class. In particular no stability of an individual class under midpoint rounding is required. Proof. For integers \(j\geq3\) define \[I_j=[(2^j-4)M,(2^{j+1}+4)M],\qquad p_j=\mu(Y\in I_j).\] For \(j\geq4\) choose a class carrying at least \(p_j/J\) of the mass of \(I_j\), and pair its tail arrays with its central arrays from (29). Every output has its statistic in \[[(2^{j-1}-7/2)M,(2^j+7/2)M]\subset I_{j-1};\] indeed the central average contributes at most \(M/2\) and rounding at most \(A/2\leq M\). Apply Theorem 18 to \(\mathcal W\) restricted to the chosen tail and central sets, and to two copies of \(\mathcal W\) restricted to \(\{Y\in I_{j-1}\}\). Dividing by \(Z^2\) gives \[ p_j\leq (J/c)p_{j-1}^2. \tag{31}\] Put \(K_*=J/c\geq1\), \(N=\lceil4K_*\rceil\), and \(L=3+N\). For \(j\geq4\) these intervals have overlap at most two: the upper endpoint of \(I_j\) is strictly below the lower endpoint of \(I_{j+2}\). Thus \(\sum_{j\geq4}p_j\leq2\), and among \(j=4,\ldots,L\) there is \(j_0\) with \(K_*p_{j_0}\leq1/2\). Iteration of (31) yields \[K_*p_{j_0+r}\leq2^{-2^r}\quad(r\geq0), \qquad p_j\leq K_*^{-1} \exp\{- (\log2)2^{j-L}\}\quad(j\geq L).\] Repeat the argument for \(-Y\), with the same \(L\). If \(t\geq2^L\) and \(k=\lfloor\log_2t\rfloor\), the cores \([2^jM,2^{j+1}M]\subset I_j\) for \(j\geq k\) cover the positive tail, and their negative counterparts cover the negative tail. Writing \(q_0=\exp\{-(\log2)2^{k-L}\}\leq1/2\), we obtain \[\mu(|Y|>tM) \leq\frac2{K_*}\sum_{r\geq0}q_0^{2^r} \leq4q_0 \leq4\exp\{- (\log2)2^{-L-1}t\}.\] For \(0\leq t<2^L\) the last bound exceeds one. This proves the tail claim with \(a_*=(\log2)2^{-L-1}\). Finally \(\mathbb E|Y|^p=\int_0^\infty pt^{p-1}\mu(|Y|>t)\,\,\mathrm dt\) proves the moment claim. This proof explicitly uses the unconditional central mass in each class; a central bound for their union would not suffice. ◻ Bounded traces and plane incrementsProposition 21 (Smearing with bounded boundary values). In a bounded height problem as specified above, suppose its fixed trace has absolute value at most \(K\). Let \(n\) be the distance from the smearing center to the bounding sites. For \(1\leq a\leq c_0n\) and every finite \(p\geq1\), \[ \left\|\sum_uw_uH(u)\right\|_p \leq C_{p,A}\left(1+K+\sqrt{\log(n/a)}\right). \tag{32}\] The bound is uniform over the shape of the trace and applies in particular to the interior of a good cut after its complete inner height layer has been specified. Proof. For zero trace, Lemma 17 and Chebyshev’s inequality supply central probability at least \(1/2\) with \(M=C_A(1+\sqrt{\log(n/a)})\), increased if necessary to exceed \(A/2\). Lemma 19 verifies all midpoint hypotheses for the actual weighted height measure. Apply Lemma 20 with one class to prove (32) for zero trace. For general trace, put \(K_0=\lceil K\rceil\). Height order from Lemma 15 traps the law between the flat laws with traces \(-K_0\) and \(K_0\). For nonnegative weights, the corresponding smearing laws are the zero-trace smearing shifted by \(\pm K_0\sum_uw_u\). Both tails are therefore bounded by the zero-trace tails with an additive displacement at most \(AK_0\). This gives (32). Split arbitrary signed weights into their positive and negative parts; each satisfies (20), and the triangle inequality in \(L^p\) finishes the proof. On a cut, fix the entire actual inner trace first, so its interior is an ordinary weighted height problem by Lemma 4. The same argument applies conditionally. ◻ Proposition 22 (Uniform plane moments for zero-total smearings). For the infinite-volume increment law furnished by Proposition 11, every zero-total smearing (20) satisfies \[ \left\|\sum_uw_uH(u)\right\|_p\leq C_{p,A} \qquad(1\leq p<\infty). \tag{33}\] The constants are uniform in \(a\geq1\) and the center. The same estimate holds for the increment law in a finite free simply connected triangulation containing \(B(z_0,C_0a)\), for a sufficiently large fixed \(C_0\). Proof. Work first with the free spin pair in the finite ambient graph. Choose a fixed large constant \(L_0\) with \(1/L_0<c_0/4\), and search from outside for a good \(B\) circuit in an annulus with radii \(L_0a\) and \(2L_0a\). Choose \(C_0\) large enough that all search buffers fit in the ambient graph. Lemma 10 gives this stopped-cut event probability at least \(c_1>0\). Its trace is contained in two consecutive integers. Conditional also on the complete inner trace, subtract the lower of these integers. The interior is now an ordinary height problem with trace in \(\{0,1\}\), and its distance from \(z_0\) is between fixed multiples of \(L_0a\). Proposition 21 therefore gives a uniform conditional second-moment bound \(C_A\). The random subtraction changes no zero-total smearing. Chebyshev’s inequality and then averaging over the search show, for some fixed \(M\geq A/2\), \[ \mathbb P(|Y|\leq M)\geq c_1/2. \tag{34}\] If the finitely many smallest lattice scales require enlarging the annulus to accommodate rounding, use a fixed minimal annulus radius; its ratio to \(a\geq1\) remains bounded and the same constants suffice. To amplify this central bound, use the correct finite height measure. For any chosen anchor \(o\), the four cyclic rotations of the Gray states preserve every increment and every interaction weight, and act transitively on the pair state at \(o\). Consequently the unconditioned free pair has exactly the same increment law as its version with state \((+,+)\) at \(o\). By Lemma 3, the latter is the measure on integer \(1\)-Lipschitz arrays with \(H(o)=0\) and density proportional to \(x^{\sum_{ij}|H(i)-H(j)|}\). Thus \(Y\) in this anchored measure has the central bound (34). This argument obtains the cut central bound before fixing the anchor, and hence introduces no extra anchor constraint into the stopped interior law. The anchored arrays form one midpoint-admissible class by Lemma 19. Applying Lemma 20 proves (33) in finite volume. At fixed lattice weights, enlarge that volume. The increment convergence from Proposition 11 and the uniform bounds pass the estimate to the plane; higher moments also give convergence of every fixed finite moment. All constants above are independent of the location and radius of the smearing. ◻ Lemma 23 (Nondegeneracy between two disks). Let \(U_1,U_2\) be two fixed disjoint round disks with disjoint closures, and let \(f_i\geq0\) be smooth functions supported compactly in \(U_i\), with \(\int f_i=1\). Form their exact face-area averages on the dilated lattice geometry of scale \(R\). If \(Y_R\) is the first average minus the second, there is \(c>0\) such that \[ \mathbb EY_R^2\geq c \tag{35}\] for all sufficiently large \(R\), in the plane and in sufficiently large finite free volumes. The bound is uniform under translations of the fixed arrangement. Proof. Choose two disjoint nested annular collars around \(\mathop{\mathrm{supp}}f_1\) inside \(U_1\), avoiding \(\mathop{\mathrm{supp}}f_2\). Prescribe an outer good \(B\)-plus cut and an inner good \(B\)-minus cut. Successive applications of Lemma 10 in these separated buffers give their joint probability at least \(c_2>0\), uniformly in \(R\) large enough for rounding. Make the choices by the stopped searches following Lemma 9; the event and the selected cuts depend on first spins and cell statuses, and do not prescribe any second-spin labels. By Lemma 14, conditional on those variables there is a second-spin component in the intervening collar whose fair label flip changes every height in the inner protected region by \(4\) in absolute value relative to the exterior of the outer cut. Choose the component measurably using a fixed ordering, and condition on all its other labels. The cuts, their event, and all weights of \(Y_R\) are unchanged by this flip. Exact unit mass in the first disk and zero weight in the collar mean that the two values of \(Y_R\) differ by \(4\). A fair pair of real numbers at distance \(4\) has variance \(4\) and second moment at least \(4\). Averaging over the cut event yields \(\mathbb EY_R^2\geq4c_2\) in finite volume. The fourth-moment bound in Proposition 22 allows passage of these second moments to the plane. This proves the claim. ◻ Exact area interpolationLet \(Q_{\delta,u}\) be the hexagonal face centered at \(u\in\delta\mathbb T\). For a bounded compactly supported test \(f\), use precisely \[ w_{\delta,f}(u)=\int_{Q_{\delta,u}}f(z)\,\,\mathrm dz, \qquad \langle h_\delta,f\rangle =\sum_u w_{\delta,f}(u)h_\delta(u). \tag{36}\] This identity follows from the piecewise constant extension in the problem, including its zero extension outside the discrete domain. For tests supported inside that domain the tessellation gives the exact, rather than asymptotic, identities \[\sum_u w_{\delta,f}(u)=\int f, \qquad \sum_u|w_{\delta,f}(u)|\leq\|f\|_{L^1}, \qquad |w_{\delta,f}(u)|\leq\frac{\sqrt3}{2}\delta^2\|f\|_\infty.\] In the plane these hold for every compactly supported test. A test supported in a disk of physical radius \(r\), with \(\|f\|_1\leq A\) and \(\|f\|_\infty\leq Ar^{-2}\), therefore has smearing weights at radius \(a=r/\delta+O(1)\) with a constant multiple of the same weight bound. For any fixed physical geometry the condition \(a\geq1\) holds once the mesh is small. Reflection in a lattice symmetry takes each face to its reflected face, so this interpolation is exactly equivariant under every site reflection used below. A zero-integral test gives a zero-total smearing at every mesh. In particular, on a fixed compact subset of a bounded domain, Proposition 21 bounds a normalized radius-\(r\) average by \(C_p(1+\sqrt{\log(1/r)})\), with fixed geometry and the mesh sent to zero first. Finite sums of such localized smearings obey the same bounds by the triangle inequality. If the radius is a fixed small fraction of the distance to a bounded trace, the right side of (32) is uniformly bounded, even as both physical scales subsequently tend to zero. Finally, Proposition 22 gives a uniform bound for each fixed bounded family of zero-total smooth tests and their dilations. These assertions use ordinary Euclidean area weights throughout. The class hypothesis (29) has deliberately not been asserted for any spin-pinned ensemble. The parity-class admissibility and central mass required in that setting will be proved in Proposition 38 before Lemma 20 is applied there. Reflection and the plane normalizationThroughout this section the law is the free plane pair obtained in Proposition 11, with the fixed weight \(x\in[1/\sqrt2,1]\). Only its original nearest-neighbor interaction is used for reflection; no reflection symmetry of the auxiliary cell variables is needed. Write \(\xi_u=H(u)-H(0)\) for its height increments. If \(f\in C_c^\infty(\mathbb R^2)\) has integral zero, set \[H_\delta(f)=\sum_{u\in\mathbb T}w_{\delta,f}(u)H(u),\qquad w_{\delta,f}(u)=\int_{\delta(u+V)}f(z)\,\mathrm dz,\] where \(V\) is the closed unit-mesh hexagonal face centered at zero, with boundaries ignored in integrals. The faces \(u+V\) tile the plane. In particular, \(\sum_u w_{\delta,f}(u)=\int f=0\), so the statistic is independent of the additive lift. All these finite sums are centered by height reflection. We will show that their covariances converge to a positive multiple of the plane Green form, with the same constant along every mesh sequence. We then use this covariance to show that a Laplace test supported strictly on one side of a reflection line has covariance with its reflected test tending to zero. Reflection positivity will interpret this as a vanishing reflection seminorm, which Section 5 will use to transfer the Laplace identity through separated pinning conditions. Use Euclidean coordinates, and put \[e_1=(1,0),\qquad e_2=(1/2,\sqrt3/2),\qquad P=\frac{2\pi}{\sqrt3},\qquad \mathbb T^*=\{(2\pi m,P(2n-m)):m,n\in\mathbb Z\}.\] The reciprocal torus is \(\widehat\mathbb T=\mathbb R^2/\mathbb T^*\), with characters \(u\mapsto e^{ip\cdot u}\). Small neighborhoods of its origin always use their Euclidean representatives. We use \(\widehat f(p)=\int e^{-ip\cdot z}f(z)\,\mathrm dz\) for the continuum Fourier transform. The covariance statement below is the output of the spectral argument. Its coefficient will be fixed by a full scalar cutoff limit, after the possible subsequential spectra have been identified. The proof is completed in the final subsection; the reflection-null insertion then follows from it. Proposition 24 (Plane covariance and normalization). There is a constant \(v=v(x)\in(0,\infty)\), depending only on the fixed weight \(x\), such that for every pair of real zero-integral tests \(f,g\in C_c^\infty(\mathbb R^2)\), \[\begin{align*} \lim_{\delta\downarrow0}\mathbb E[H_\delta(f)H_\delta(g)] &=\frac{v}{(2\pi)^2} \int_{\mathbb R^2}\frac{\widehat f(p)\overline{\widehat g(p)}}{|p|^2} \,\mathrm dp \tag{37}\\ &=\frac{v}{2\pi}\iint_{\mathbb R^2\times\mathbb R^2} f(z)\log\frac1{|z-w|}\,g(w)\,\mathrm dz\,\mathrm dw. \end{align*}\] The conclusion also holds for zero-integral tests converging in \(C_c^\infty\) with a common compact support. Reflection positivity and normal translationThe row-conditioning proof below is the site-reflection construction of (Fröhlich et al. 1978, sec. 3, example 5) specialized to the present edge law. We include the normal-translation argument because positivity of that translation, not only reflection positivity of the field, is needed for the nonnegative Cauchy mixture. Proposition 25 (Positive normal transfer). Let \(\ell\) be any row of lattice sites parallel to one of the three unoriented nearest-neighbor directions, and choose one of its closed half-planes. The plane pair is reflection positive across \(\ell\). The assertion remains valid after adjoining any finite collection of fields \[ Z_s(u)=U_s\exp\{is(H(u)-H(o))\}, \tag{38}\] where the \(U_s\) are independent unit-circle Haar variables, independent of the pair, and \(o\) is any anchor. More precisely, let \(\theta_\ell\) act on observables by spatial reflection, and take local functions supported in the chosen half-plane, whose height differences are evaluated along paths in that half-plane. Then \[\langle F,G\rangle_\ell =\mathbb E\big[\overline{\theta_\ell F}\,G\big]\] is a positive semidefinite Hermitian form. In its quotient completion, translation farther into the half-plane by the pure normal vector of length \(\sqrt3\) is a positive self-adjoint contraction \(S\). Unit translation along the row is a commuting unitary \(U\). At mesh \(\delta\) the normal step is \(\sqrt3\delta\). Proof. Take first a reflection-symmetric finite free volume, chosen so that its intersection with the row is connected and contains the observables under consideration. No edge of the triangular lattice jumps across a row of sites. Conditional on the row spins, the two strict sides therefore have independent, reflected-identical laws: every original edge weight belongs to a single side together with its row boundary. Row spins determine relative row heights. If phases are present, condition also on their values at one row anchor. On each side the other phases are determined from those anchor phases and the increments on that side. Their conditional Haar law at the row anchor is independent of the spins, even if the original anchor \(o\) was elsewhere. Consequently \[\mathbb E\big[\overline{\theta_\ell F}\,F\big] =\mathbb E\left[\left|\mathbb E[F\mid\text{row spins and row phases}]\right|^2\right] \ge0.\] The plane limit gives the same inequality for local functions. Ordinary \(L^2\) approximation is also allowed, since \(|\langle F,G\rangle_\ell|\le\|F\|_2\|G\|_2\). Changing the anchor or translating the configuration multiplies each \(U_s\) by a unit complex number determined by the increments. Conditional Haar measure is unchanged. This proves stationarity and all the lattice reflection symmetries also for the augmented law. For the operator statement take \(\ell=\{y=0\}\) and the upper half-plane. A site has coordinates \((m+n/2,n\sqrt3/2)\). Reflections in \(y=0\) and \(y=\sqrt3/2\) send its integer coordinates respectively to \((m+n,-n)\) and \((m+n-1,2-n)\). Thus both are site-row reflections, and their composition gives the pure normal translation \(a=(0,\sqrt3)\). Let \(T\) denote translation of observables by \(a\). Stationarity and \(\theta_\ell T=T^{-1}\theta_\ell\) imply \[\langle TF,G\rangle_\ell=\langle F,TG\rangle_\ell.\] Furthermore \(TF\) is supported above the halfway row \(y=\sqrt3/2\), and reflection of \(TF\) in that row is \(\theta_\ell F\). Reflection positivity at that row gives \(\langle F,TF\rangle_\ell\ge0\). Boundedness must be proved before taking the quotient. Put \(a_n=\langle T^nF,T^nF\rangle_\ell^{1/2}\). Symmetry and reflection Cauchy–Schwarz yield \[a_n^2=\langle T^{n-1}F,T^{n+1}F\rangle_\ell \le a_{n-1}a_{n+1}\quad(n\ge1), \qquad a_n\le\|F\|_2.\] If \(a_0=0\), the first inequality gives \(a_1=0\). Otherwise an increase \(a_1>a_0\) would, by log-convexity, force geometric growth, contradicting the second inequality. Hence \(\|TF\|_\ell\le\|F\|_\ell\). The operator descends to the quotient and extends to a bounded symmetric positive operator on its completion, hence to a positive self-adjoint contraction \(S\). Tangential translation preserves the form and has an inverse with the same property. It therefore gives a unitary \(U\); \(U,U^{-1}\) commute with \(S\). Rotation by \(\pi/3\) and \(2\pi/3\), and translation of the base row, give exactly the same construction in all three directions. ◻ The increment spectrum and its Cauchy representationLemma 26 (Punctured spectral measure). There is a positive, locally finite measure \(C\) on \(\widehat\mathbb T\setminus\{0\}\), invariant under the lattice rotations and reflections, such that every finitely supported real array \((b_u)\) with \(\sum b_u=0\) satisfies \[ \mathbb E\left|\sum_u b_uH(u)\right|^2 =\int\left|\sum_u b_ue^{ip\cdot u}\right|^2 C(\,\mathrm dp). \tag{39}\] There is no invariant random linear tilt term. Moreover, for some \(r_0>0\) and \(K<\infty\), \[ C\{r\le|p|\le2r\}\le K\quad(0<r<r_0), \qquad \int_{0<|p|<r_0}|p|^t C(\,\mathrm dp)<\infty\quad(t>0). \tag{40}\] Proof. Let \(V_u\) be ordinary unitary translation on the plane probability space. Lemma 60, applied to the two basis translations, constructs their scalar covariance measures \(\mu_{a,b}(\,\mathrm dp)\) on \(\widehat\mathbb T\). Write \(P_0\) for the common invariant projection. All increments belong to \(L^2\), since \(|\xi_u|\) is bounded by the graph distance from zero to \(u\). The cocycle identity gives \[\xi_{u+v}=\xi_v+V_v\xi_u, \qquad (V_v-I)\xi_u=(V_u-I)\xi_v.\] Put \(d_u(p)=e^{ip\cdot u}-1\). The polynomial covariance identity in Lemma 60 transfers the cocycle relation to the scalar measures. On a patch where \(d_v\ne0\), it gives \(\mu_{\xi_u,\xi_w}=\overline{d_u}d_w \mu_{\xi_v,\xi_v}/|d_v|^2\). Division is made first on compact subpatches where the denominator is bounded below. Thus define there \[C(\,\mathrm dp)= \frac{\mu_{\xi_v,\xi_v}(\,\mathrm dp)} {|e^{ip\cdot v}-1|^2}.\] The definitions agree on overlaps. The two choices \(v=e_1,e_2\) cover the punctured torus; on every compact subset their denominators are bounded below on a finite cover. This proves local finiteness and (39) for the part orthogonal to \(P_0\). The remaining projected cocycle is additive: \(P_0\xi_u=A\cdot u\) for some random vector \(A\in L^2\). For a smooth compactly supported \(f\) of integral zero, use the exact face weights for \(R^{-2}f(z/R)\) at unit mesh. Their first lattice moment is \[\sum_u u\int_{u+V}R^{-2}f(z/R)\,\mathrm dz =R\int zf(z)\,\mathrm dz+O(1),\] where the deterministic error is bounded because \(|u-z|\) is bounded on \(u+V\). Orthogonal projection and Proposition 22 bound the \(L^2\) norm of the dot product of \(A\) with this vector uniformly in \(R\). Divide by \(R\) and let \(R\to\infty\). Choosing two such \(f\) with independent first moments proves \(A=0\). Orthogonality rules out any cancellation between this tilt and other spectral components. Uniqueness of the local construction of \(C\) gives its stated symmetries. For the annular estimate choose a real smooth bump \(b\) with integral one and support so small that \(\widehat b\) has no zero on \(|p|\le2\). The tests \(f_1=\partial_1b\) and \(f_2=\partial_2b\) have integral zero, and \(|\widehat f_1|^2+|\widehat f_2|^2\) is bounded below on \(1\le|p|\le2\). Let \(b^{(r,j)}_u\) be the unit-face weights for \(r^2f_j(rz)\). Their absolute sums are bounded and their largest absolute values are \(O(r^2)\); their supports have radius \(O(r^{-1})\). For \(1\le|p|\le2\), \[\sum_u b^{(r,j)}_ue^{irp\cdot u}\longrightarrow\widehat f_j(-p) \quad\text{uniformly as }r\downarrow0.\] Indeed replacing the face center by a point in its face changes the exponential by \(O(r)\) uniformly here. Apply Proposition 22 and (39) to the two weights. Their squared transforms bound below a positive constant on \(r\le|p|\le2r\), proving the first assertion in (40) for small \(r\). Local finiteness handles any remaining compact range of radii. Summation over dyadic annuli gives the second assertion. ◻ Restrict translations to the rectangular sublattice generated by \(e_1\) and \((0,\sqrt3)\). Its reciprocal torus has centered rectangle \[\mathcal R=[-\pi,\pi)\times[-P/2,P/2).\] The projection \(\pi:\widehat\mathbb T\to\mathcal R\) is a two-sheeted covering. The preimages of zero are zero and the nonzero alias \(a_*=(0,P)\) on \(\widehat\mathbb T\). Let \(C'=\pi_*C\), with the value of \(C\) at the omitted origin set to zero when interpreting this pushforward. For \(0<s<\infty\) define the probability measure \(Q_s\) on the normal circle by \[ Q_s(\,\mathrm dl)=q_s(l)\,\mathrm dl,\qquad q_s(l)=\sum_{n\in\mathbb Z}\frac{s}{\pi\{s^2+(l+nP)^2\}}. \tag{41}\] Here and below an integral over \(l\) uses the centered period. Set \(Q_0=\delta_0\) and let \(Q_\infty\) be uniform probability on that circle. Lemma 27 (Positive Cauchy mixture and exceptional sets). On \(k\ne0\) in the rectangular torus there is a positive measure \(\nu(\,\mathrm dk,\,\mathrm ds)\) such that \[ C'(\,\mathrm dk,\,\mathrm dl)=\int_{[0,\infty]}Q_s(\,\mathrm dl)\,\nu(\,\mathrm dk,\,\mathrm ds). \tag{42}\] The measure \(\nu\) is finite on horizontal bands bounded away from zero, and, for every sufficiently small fixed \(\kappa>0\), \[ \int_{0<|k|<\kappa}|k|\,\nu(\,\mathrm dk,\,\mathrm ds)<\infty. \tag{43}\] The physical punctured line \(k=0\) near zero has zero \(C\) mass, and \(C\{a_*\}=0\). These conclusions hold before any rescaling limit is taken. The analogous assertions hold in each of the three rotated charts. Proof. Take \(F=\xi_{e_1}\), an observable on the horizontal reflection row. Apply the scalar construction of Lemma 61 to the commuting \(U,S\) from Proposition 25. It gives a finite positive measure \(\gamma(\,\mathrm dk,\,\mathrm d\lambda)\) on the unit circle times \([0,1]\) such that, for every \(m\in\mathbb Z\) and \(j\ge0\), \[\mathbb E[F\,V_{me_1+j(0,\sqrt3)}F] =\langle F,U^mS^jF\rangle_\ell =\int e^{imk}\lambda^j\,\gamma(\,\mathrm dk,\,\mathrm d\lambda).\] Reflection in the base row gives the same expression with \(|j|\) for negative \(j\). Put \(\lambda=e^{-\sqrt3s}\), interpreting \(\lambda=0\) as \(s=\infty\). The \(j\)th Fourier coefficient of \(Q_s\) is \(e^{-\sqrt3s|j|}\), including both endpoints. Uniqueness of Fourier coefficients of finite measures on the rectangular torus identifies the ordinary spectral measure of \(F\) with this mixture. By (39) that measure is \(|e^{ik}-1|^2 C'(\,\mathrm dk,\,\mathrm dl)\). Dividing by this strictly positive factor on \(k\ne0\) gives (42) and local finiteness of \(\nu\) there. Since \(Q_s\) has total mass one, the left side of (43) equals \(\int_{0<|k|<\kappa}|k|\,C'(\,\mathrm dk,\,\mathrm dl)\). Near the physical origin this is finite by (40) and \(|k|\le|p|\); its remaining preimage has finite mass by local finiteness on the physical torus away from zero. This includes a neighborhood of \(a_*\) and does not require any estimate on horizontal bands near zero. For the physical line take a compact segment of \(k=0\) in a small punctured disk and rotate it through \(\pi/3\). Its coordinates become \((k',l')=(-\sqrt3l/2,l/2)\): both are nonzero, and the image is a nonvertical graph away from \(l'=0\). For each fixed \(k'\) its normal section is a singleton outside zero. Every \(Q_s\) assigns zero mass to this singleton: \(Q_s\) is nonatomic for \(s>0\), including \(s=\infty\), while \(Q_0\) is supported at zero. Applying (42) and then positivity of the pushforward gives zero mass to the rotated segment, hence to the original segment. Countably many segments cover the punctured line. For the alias, rotation sends \((0,P)\) to \((-\pi,P/2)\). On the rectangular torus this point has nonzero tangential and nonzero normal coordinates. The same mixture argument gives zero mass to that point. Projection can only add mass, so invariance under rotation yields \(C\{a_*\}=0\). In particular this argument does not identify the two boundary representatives of the rectangle on the physical torus. Rotating the entire construction proves the assertions for the other row directions. ◻ A summable dispersion defectThe unperiodized Cauchy kernel with \(s=|k|\) has density \(|k|/\{\pi(k^2+l^2)\}\). We next show that only mixing mass near this relation survives at small frequencies. The three mirror directions will then determine the tangential measure as well. The key estimate comes from averaging a fourth angular harmonic, whose rotational average vanishes but whose Cauchy average measures the deviation from \(s=|k|\). For centered coordinates write \[\chi(k,l)=\cos(4\arg(k+il)) =1-\frac{8k^2l^2}{(k^2+l^2)^2},\qquad (k,l)\ne0,\] and put \[D(k,s)=\left(\frac{|k|-s}{|k|+s}\right)^2\quad(s<\infty), \qquad D(k,\infty)=1.\] Lemma 28 (Angular identity and summable defect). Uniformly for \(s\in[0,\infty]\) and sufficiently small \(k\ne0\), \[ \int\chi(k,l)Q_s(\,\mathrm dl)=D(k,s)+O(|k|). \tag{44}\] For some fixed \(\kappa>0\), \[ \int_{0<|k|<\kappa}D(k,s)\,\nu(\,\mathrm dk,\,\mathrm ds)<\infty. \tag{45}\] There is also \(K_1<\infty\) such that, for all sufficiently small \(r>0\), \[ \nu\{r\le|k|\le2r\}\le K_1. \tag{46}\] Proof. Put \(a=|k|\). The analytic function \(((a+iz)/(a-iz))^2\) is bounded in the upper half-plane, has boundary real part \(\chi(a,l)\), and has real value \(((a-s)/(a+s))^2\) at \(z=is\). The Poisson formula therefore gives the exact line identity \[ \int_\mathbb R\chi(a,l)\frac{s\,\mathrm dl}{\pi(s^2+l^2)} =\left(\frac{a-s}{a+s}\right)^2\quad(0<s<\infty). \tag{47}\] Here the Poisson formula applies to a bounded harmonic function with continuous boundary values, so no boundary growth condition is missing. To estimate periodization, let \(f_a(l)=1-\chi(a,l)=8a^2l^2/(a^2+l^2)^2\). Direct integration gives \[\int_\mathbb Rf_a(l)\,\mathrm dl=4\pi a, \qquad 0\le f_a(l)\le\frac{8a^2}{l^2}\quad(l\ne0).\] If \(p_s(l)=s/\{\pi(s^2+l^2)\}\), then \[M_P:=\sup_{s>0,\ |l|\le P/2}\sum_{n\ne0}p_s(l+nP)<\infty.\] Indeed for \(s\le P\) use \(|l+nP|\ge P(|n|-1/2)\) and sum the square tail; for \(s>P\) the \(O(s/P)\) terms with \(|n|\le2s/P+1\) are each at most \(1/(\pi s)\) and the remaining terms have a summable \(s/(nP)^2\) bound. The difference between the periodized and line integrals of \(f_a\) is at most \[4\pi M_Pa+ \int_{|l|>P/2}f_a(l)p_s(l)\,\mathrm dl \le4\pi M_Pa+32a^2/P^2.\] This proves (44) uniformly for finite positive \(s\). For \(s=0\) it is exact; for \(s=\infty\) use the uniform density and \(\int f_a\le4\pi a\). Integrate (44) over \(\epsilon<|k|<\kappa\). Its error is bounded independently of \(\epsilon\) by (43). Replacing the projected integral by the physical integral inside \(|p|<\kappa\) changes it by a bounded amount: the remaining physical region, including the other sheet, has finite mass away from zero. Thus it suffices to bound above \[\int_{\epsilon<|p|<\kappa,\ |k|>\epsilon} \chi(k,l)\,C(\,\mathrm dp).\] The integral over the full radial annulus is exactly zero, since \(\sum_{j=0}^5\cos(4(\arg p+j\pi/3))=0\) and \(C\) is rotation invariant. In the deleted cap \(|k|\le\epsilon\), the negative part of \(\chi\) is confined to \(|l|<(1+\sqrt2)|k|\), hence to \(\epsilon<|p|<K_2\epsilon\) for an absolute constant \(K_2\). A fixed number of annular bounds in (40) controls that negative part. Deleting the positive part can only lower the integral. We have obtained an upper bound independent of \(\epsilon\). Since \(D\ge0\), monotone convergence proves (45). This use of a negative cap requires only annular bounds, not the quantitative endcap estimate proved below. On \(r\le|k|\le2r\), if \(s\notin[r/2,4r]\) then \(D(k,s)\ge1/9\); (45) bounds the mass of this part. For \(s\in[r/2,4r]\), the central, unperiodized part of \(Q_s\) gives \[Q_s\{|l|\le2r\}\ge\frac2\pi\arctan(1/2)>0\] when \(r\) is small. Equation (42) therefore bounds the remaining \(\nu\) mass by a constant times \(C'\{r\le|k|\le2r,\ |l|\le2r\}\). The physical-origin preimage lies in a fixed number of annuli of scale \(r\), and the alias preimage has bounded finite mass. This proves (46). ◻ Lemma 29 (Endcaps). After decreasing \(r_0\) if necessary, there is \(K_3<\infty\) such that \[ C\{b<|p|\le2b,\ |k|\le h\}\le K_3\frac hb \qquad(0<b<r_0,\quad0<h<b/10). \tag{48}\] The same bound holds in each rotated chart. In particular, rescaling cannot create mass on one of the tangential zero lines inside a compact punctured annulus. Proof. Rotate the indicated cap through \(\pi/3\). Both new coordinates \(k',l'\) have magnitude comparable to \(b\). At fixed \(k'\), the inequality \(|k|\le h\) restricts \(l'\) to an interval of length \(4h/\sqrt3\). For example \(0.8b\le|k'|\le1.8b\) and \(0.4b\le|l'|\le1.1b\) suffice when \(h<b/10\). The central Cauchy density is bounded there, uniformly in \(s>0\), by \(1/(2\pi|l'|)\le K/b\); its folded tails are bounded by \(M_P\). The uniform endpoint obeys the same bound, and the \(s=0\) atom misses the interval. The relevant horizontal band has bounded \(\nu\) mass by (46), enlarging by finitely many dyadic bands if necessary. Apply (42) and note that projection adds nonnegative mass to the rotated physical cap. This proves (48). Applying the bound with \(b=\delta b_0\) and \(h=\delta h_0\), then sending \(h_0\downarrow0\), proves the last assertion for every vague limit; continuous cutoff majorants justify passage to such limits. ◻ The full spectral scaling limitFor \(\delta>0\) rescale a fixed small physical neighborhood of zero by \(p\mapsto p/\delta\), and denote its image measure by \(C_\delta\). On every fixed compact subset of \(\mathbb R^2\setminus\{0\}\) this is well defined for small \(\delta\). Equation (40) gives local boundedness and hence subsequential vague compactness. Lemma 30 (Form of every subsequential spectrum). Every vague subsequential limit is \[ M(\,\mathrm dp)=c\frac{\,\mathrm dp}{|p|^2} \tag{49}\] for some finite \(c\ge0\), at this point possibly depending on the subsequence. This identity holds on the entire punctured plane, including the tangential zero lines. Proof. Fix \(0<a<b<\infty\) and work on the rescaled horizontal band \(a\le|k|/\delta\le b\). Rescale the mixing variables to \((k/\delta,s/\delta)\). Their masses are bounded by finitely many instances of (46). Their integral of \(D\) tends to zero by (45), since the unscaled bands shrink to zero while excluding it. On this band the scale-invariant function \(D\) is bounded below away from zero whenever \(s/\delta\) stays outside any fixed neighborhood of \(|k|/\delta\); this includes \(s/\delta=\infty\). Thus every limiting mixing measure is concentrated on the graph \(s=|k|\) in the rescaled coordinates. More explicitly, mass outside \(|s/|k|-1|<\varepsilon\) is bounded by a constant depending on \(\varepsilon\) times the integral of \(D\), and tends to zero. This also gives tightness in the rescaled \(s\) coordinate. Uniformly for \(a/2\le t\le2b\) and \(l\) in a compact set, \[\delta q_{\delta t}(\delta l) =\frac{t}{\pi(t^2+l^2)}+O(\delta),\] by the folded-tail bound in the proof of Lemma 28. Consequently every further extraction of the bounded mixing measures gives, on \(k\ne0\), \[ M(\,\mathrm dk,\,\mathrm dl)= \frac{|k|}{\pi(k^2+l^2)}\,\eta(\,\mathrm dk)\,\mathrm dl \tag{50}\] for some locally finite positive measure \(\eta\) in the tangential coordinate. A diagonal extraction over compact horizontal subbands makes these descriptions consistent. The other physical preimage of a bounded rescaled set shrinks to \(a_*\); its mass tends to zero by local finiteness there and \(C\{a_*\}=0\), already proved in Lemma 27. Thus (50) indeed describes the physical measure, with no alias contribution. Multiplying (50) by \(|p|^2\) shows that the normal distributional derivative of \(|p|^2M\) vanishes on \(k\ne0\). No density assumption on \(\eta\) is being made. Repeating in the other two row directions, at every nonzero point at least two of the three tangential coordinates are nonzero. The corresponding normal directions are independent. On a neighborhood of that point the two independent directional derivatives of \(|p|^2M\) vanish. A distribution with this property is constant there: convolve on a smaller ball with a smooth approximate identity, observe that both derivatives of each convolution vanish, and pass to the limit. The constants agree on overlaps, and the punctured plane is connected. It follows that \(|p|^2M=c\,\mathrm dp\) there. This argument covers the axes by the other charts; Lemma 29 also directly excludes concentration on them. Positivity and the annular bound give \(0\le c<\infty\). ◻ The annular bound and the preceding lemma alone would not imply that \(c\) is unique. We next construct a scalar limit before selecting a spectral subsequence. Lemma 31 (A cutoff identity determining the coefficient). There is a single \(c\ge0\) such that \(C_\delta\) converges vaguely to \(c\,\mathrm dp/|p|^2\) as \(\delta\downarrow0\). Proof. Choose an even smooth \(q_0\) with \(0\le q_0\le1\), equal to one on \([-1/2,1/2]\) and zero outside \((-1,1)\). Let \(Q\) be a smooth radial cutoff supported in a sufficiently small physical disk and equal to one near zero. For \(h>0\) put \[ J(h)=\int Q(p)\chi(k,l) [q_0(|p|/h)-q_0(k/h)]\,C(\,\mathrm dp). \tag{51}\] Each integrand vanishes near zero and has compact support in the physical chart, so this is a finite integral. We first show that \(J(h)\) has a full limit as \(h\downarrow0\). Split its bracket as \[[q_0(|p|/h)-1]+[1-q_0(k/h)].\] The first term has integral zero by sixfold rotation, since its other factors except \(\chi\) are radial and it vanishes near zero. For the second term replace the physical cutoff \(Q\) by the rectangular strip \(0<|k|<\kappa\) in (42). The resulting error has a limit by dominated convergence: in a sufficiently small physical neighborhood of zero the cutoffs and centered coordinates agree; all remaining contributions come from a finite measure away from that origin, including the alias neighborhood. Their multipliers are bounded and converge pointwise as \(h\downarrow0\). On \(k=0\) the factor \(1-q_0(k/h)\) is identically zero. For the strip contribution set \(A(k,s)=\int\chi(k,l)Q_s(\,\mathrm dl)\). Equations (44), (45), and (43) give \[|A(k,s)|\le D(k,s)+K|k|, \qquad \int_{0<|k|<\kappa}|A(k,s)|\,\nu(\,\mathrm dk,\,\mathrm ds)<\infty.\] Dominated convergence applied to \(\int(1-q_0(k/h))A(k,s)\nu(\,\mathrm dk,\,\mathrm ds)\) proves that the strip contribution has a limit. Thus \[ L:=\lim_{h\downarrow0}J(h) \tag{52}\] exists, using only the summable defect and finite cutoff errors, without any assumption about a spectral scaling limit. Now take any sequence along which \(C_h\to c\,\mathrm dp/|p|^2\). In the rescaled variable the bracket in (51) is \(q_0(|p|)-q_0(k)\), which vanishes on \(|p|\le1/2\). On a dyadic annulus \(R<|p|\le2R\) with \(R>10\), it is supported on \(|k|\le1\). Equation (48), used at physical scales \(b=hR\) and horizontal width \(h\), bounds that mass by \(K/R\). Summing dyadic annuli gives a uniform \(O(1/R)\) tail, up to the edge of the fixed support of \(Q\). Vague convergence on the remaining compact annulus therefore gives \[\begin{align*} L&=c\int_{\mathbb R^2}\frac{\chi(k,l)}{|p|^2} [q_0(|p|)-q_0(k)]\,\mathrm dp \\ &=c\int_0^{2\pi}\cos(4u) \int_0^\infty[q_0(r)-q_0(r|\cos u|)]\frac{\,\mathrm dr}{r}\,\mathrm du =-\frac\pi2c. \tag{53}\end{align*}\] For completeness, for \(t>0\) the inner radial integral with \(t=|\cos u|\) equals \(\log t\): integrate first from \(\varepsilon\) to \(M\), change variables in the second term, then use that \(q_0=1\) near zero and vanishes for large argument. Its absolute integral is bounded by \(K(1+|\log t|)\), which is integrable in \(u\), justifying Fubini. The angular value can be checked without a Fourier-series limit: \[\int_0^{2\pi}\cos(4u)\log|\cos u|\,\mathrm du =4\int_0^{\pi/2}\cos(4u)\log(\cos u)\,\mathrm du =4\int_0^{\pi/2}\sin^2u\cos(2u)\,\mathrm du =-\frac\pi2.\] The middle equality follows by integration by parts; the boundary term \(\sin(4u)\log(\cos u)\) vanishes at both ends. Since \(L\) was defined by a full limit, (53) fixes the same \(c\) for every subsequence. Subsequence compactness then gives full vague convergence. ◻ Euclidean area covariance and reflection-null insertionsProof of Proposition 24. For the exact area weights define \(A_{\delta,f}(p)=\sum_uw_{\delta,f}(u)e^{ip\cdot u}\). On every fixed compact set of \(\zeta\), \[ A_{\delta,f}(\delta\zeta)\longrightarrow\widehat f(-\zeta) \quad\text{uniformly}. \tag{54}\] Indeed the defining sum is the integral of \(f(z)\) times the exponential at its face center. Replacing that center by \(z\) changes the exponential by \(O(\delta|\zeta|)\) on each face. The total integral is exact, so no lattice-cell area factor remains. We record bounds that also control frequencies outside a fixed rescaled annulus. For every integer \(N\ge1\), in a fixed small physical neighborhood of zero, \[ |A_{\delta,f}(p)|\le K_N \min\left\{\frac{|p|}{\delta}, (1+|p|/\delta)^{-N}\right\}, \tag{55}\] and on the complement of that neighborhood it is \(O_N(\delta^N)\). The first bound follows from exact zero total and \(\sum_u|w_{\delta,f}(u)|\,|u|=O(\delta^{-1})\). For the other bounds, let \(\Delta_e\) denote a unit lattice difference in a basis direction. Translation of faces gives \[\sum_u|\Delta_e^Nw_{\delta,f}(u)| \le\int_{\mathbb R^2}|\Delta_{\delta e}^N f(z)|\,\mathrm dz \le\delta^N\|\partial_e^N f\|_{L^1}.\] Discrete summation by parts therefore bounds \(|1-e^{ip\cdot e}|^N|A_{\delta,f}(p)|\) by this last quantity. Near zero at least one of the two basis multipliers is at least \(a|p|\); away from zero on the reciprocal torus at least one is bounded below on a finite compact cover. Together with \(|A_{\delta,f}|\le\|f\|_1\), these estimates prove (55). Their constants are uniform for a bounded smooth family with a common compact support. Equations (39) and (40) now allow passage to the full Fourier integral. For example the contribution of \(|p|<\epsilon\delta\) to a variance is \(O(\epsilon^2)\) by the first bound in (55) and dyadic summation. The contribution of \(R\delta<|p|<r_0\) is \(O_N(R^{-2N})\); the remaining compact part of the torus contributes \(O_N(\delta^{2N})\) by local finiteness. On \(\epsilon\delta\le|p|\le R\delta\) use Lemma 31 and (54). Let first \(\delta\downarrow0\), then \(\epsilon\downarrow0\) and \(R\to\infty\). This gives the variance limit \(c\int|\widehat f(p)|^2|p|^{-2}\,\mathrm dp\); polarization gives the bilinear formula. The same estimates prove the assertion for smoothly converging tests. The distribution \((2\pi)^{-1}\log(1/|z|)\) is the fundamental solution of \(-\Delta\) on the plane. Its ambiguity by a constant is irrelevant to zero-integral tests. Fourier inversion with the stated convention thus gives the second line of (37) and the normalization \[ v=(2\pi)^2c,\qquad \sigma(x)=\sqrt v. \tag{56}\] Finiteness of \(c\) was already proved. Lemma 23 supplies two fixed smooth nonnegative unit averages on separated disks whose difference \(f\) has \(\inf_{\delta\text{ small}}\mathbb EH_\delta(f)^2>0\). The covariance limit therefore rules out \(c=0\). All constructions have used only the fixed plane law at weight \(x\); there is no domain or approximation parameter in \(v\). ◻ Proposition 32 (Reflection-null Laplace insertion). Fix one of the three row directions. Let \(\ell_\delta\) be site rows of \(\delta\mathbb T\) converging to a line \(\ell\) in that direction, and choose the same side of each row. Suppose that real \(\varphi_\delta\to\varphi\) in \(C_c^\infty(\mathbb R^2)\), with common compact support lying on that side at a positive distance from \(\ell_\delta\) for all sufficiently small \(\delta\). Put \(X_\delta=H_\delta(\Delta\varphi_\delta)\), using exact area weights. Then \[ \|X_\delta\|_{\ell_\delta}^2 =\mathbb E[(\theta_{\ell_\delta}X_\delta)X_\delta] \longrightarrow0, \qquad \sup_{\delta\text{ small}}\|X_\delta\|_{L^2}<\infty. \tag{57}\] This holds also in every finitely phase-augmented reflection space of Proposition 25. In particular, if \(Y_\delta\) is supported on the same side and has bounded reflection norm, then \(\mathbb E[(\theta_{\ell_\delta}Y_\delta)X_\delta]\to0\). Proof. All Laplace tests have integral zero. Reflection in a site row permutes the hexagonal faces exactly, so \[\theta_{\ell_\delta}X_\delta =H_\delta\bigl(\Delta(\varphi_\delta\circ\theta_{\ell_\delta})\bigr)\] as zero-total increment observables. Their supports, including the finitely many faces meeting the test supports, lie strictly on opposite sides once \(\delta\) is small. The tests and their reflections converge smoothly on fixed compact sets. By Proposition 24, the limit of their covariance is \[\frac{v}{(2\pi)^2}\int |p|^2\widehat\varphi(p) \overline{\widehat{\varphi\circ\theta_\ell}(p)}\,\mathrm dp =v\int\nabla\varphi(z)\cdot \nabla(\varphi\circ\theta_\ell)(z)\,\mathrm dz=0,\] because the two supports are disjoint. Reflection positivity makes the finite-mesh quantity a squared seminorm. The ordinary second moments are bounded by Proposition 22, or by Proposition 24. Adjoining independent Haar variables does not change the reflection norm of the phase-independent \(X_\delta\). Finally apply reflection Cauchy–Schwarz. Only the reflection seminorm vanishes; an ordinary variance need not do so. ◻ Separated pins and transfer to boundary bracketsThe reflection norm of a Laplace insertion tends to zero by Proposition 32. We will transfer this identity to upper and lower height laws whose boundary traces bracket zero. We do this by cutting the pinned boundary into separated pieces and moving those pieces to one side of the insertion. The same prescribed spins can represent different integer heights on different pieces. We first require the pinned sites within each piece to lie in one consecutive pair of heights, then require these pairs to have the same integer offset. Moment bounds and multiplicative comparisons of pin probabilities control the motion. Local phase factors allow the common-offset condition to be imposed after the pieces have been moved back. All geometric lengths in this section are physical lengths. A window, a gap, or an arrangement of separated sets is fixed before the mesh tends to zero. An increment function supported in a disk means a function of the height differences on edges in that disk, allowing a fixed arbitrarily small enlargement for connecting paths. If \(f\) is smooth, supported in the disk, and \(\int f=0\), the exact area pairing \(H_\delta(f)\) is such a function: its coefficients sum to zero, so paths in the enlarged disk express it in terms of increments. Throughout the section put \[ X_\delta=H_\delta(\Delta\varphi),\qquad F_\delta=\prod_{j=1}^q F_{j,\delta},\qquad \varphi\in C_c^\infty(K_0),\qquad \prod_{j=1}^q\|F_{j,\delta}\|_\infty\le C_F, \tag{58}\] where \(\varphi\) is real, \(K_0\Subset D\) is a disk, and \(F_{j,\delta}\) is an increment function in a disk \(K_j\Subset D\). The spectator disks may overlap each other, but have positive distance from a fixed neighborhood of \(K_0\). The empty product is allowed. The boundary walk and the two bracketsLet \(\gamma:\mathbb R/L\mathbb Z\longrightarrow\partial D\) be the positively oriented arclength parametrization. In a fixed tubular neighborhood of \(\partial D\), let \(\pi\) be normal projection followed by the coordinate \(\gamma^{-1}\), with values in \(\mathbb R/L\mathbb Z\). This map exists because the boundary is a \(C^2\) embedded compact curve. Write \(d_L\) for circular distance in \(\mathbb R/L\mathbb Z\). Lemma 33 (Inner boundary walk). There is a closed walk \(S_{0,\delta}\) of adjacent triangular-lattice face centers, with repeated vertices and edges allowed, whose vertex set is exactly the boundary face layer \(\partial F_\delta\). Its parametrized trace is within \(O(\delta)\) of the boundary cycle in traversal order. Every free interior site lies in a bounded face of this walk, with winding number one, and every interaction path from a free interior site to an exterior site meets its vertex set. For small \(\delta\), \(\pi\) is defined on the walk, its degree is one, and the following fixed-scale assertions hold. For each \(b>0\), the number of subwalks with disjoint traversal-time interiors and projected diameter at least \(b\) is bounded independently of sufficiently small \(\delta\). Every proper projected boundary arc is traversed from end to end by a subwalk, up to \(o(1)\) errors at its endpoints. These assertions do not require a bound on the length of \(S_{0,\delta}\) or on its number of crossings of a line. Proof. Associate to each successive edge of the honeycomb boundary cycle its incident interior face. At a trivalent boundary vertex, the two such faces are either the same, or meet across the third edge. Joining their centers therefore gives the required walk after constant steps are removed. This also proves the \(O(\delta)\) position bound. Every face adjacent to the boundary appears. An edge path leaving the enclosed face set first passes through such a face, proving separation. One can deform each boundary edge to the corresponding center path in the union of its incident faces and the stars of its endpoints. This deformation never meets a nonboundary interior face center. Consequently the original cycle and the center walk have the same winding number around every free interior center. In particular those centers lie in bounded complementary components of the walk. Use the uniformly convergent parametrizations in Definition 1, and parametrize the center walk in the corresponding traversal order. The position error still tends to zero uniformly. Normal projection is uniformly continuous on a smaller closed tubular collar, so the projected walks converge uniformly to the corresponding degree-one parametrization of the boundary circle. They have degree one for fine mesh by homotopy in that circle. For any fixed \(b\), uniform continuity of the limiting parametrization gives \(\omega(b)>0\) such that a projected excursion of diameter \(b\) needs at least \(\omega(b)\) units of parameter time, once the uniform error is smaller than \(b/4\). Disjoint excursion intervals therefore number at most \(1/\omega(b)\), after normalizing the parameter circle to length one. Finally lift the projected walk to the real line. Its net change in one traversal is \(L\). Before a first visit to the right endpoint of a lifted proper arc, take its last visit to the left endpoint. The intervening subwalk stays in that interval and crosses it. Discrete endpoints introduce only \(o(1)\) errors. This proves the final assertion. ◻ In the following, the graph of a walk means its image with all traversed edges. Removing a set of its vertices removes the incident edges too. Additional lattice adjacencies could only merge the components used below, so the specified graph convention is harmless but convenient. Fix a finite collection \(\mathcal L\) of horizontal levels that meet \(D\) and are regular values of the vertical coordinate on \(\partial D\). We use nonempty collections, so their boundary intersection set is nonempty. Their intersections with \(\partial D\) are finite: each is isolated by transversality, and their set is compact. Let \(\mathcal C\subset\mathbb R/L\mathbb Z\) be the finite set of projected intersection coordinates. Choose \(\epsilon>0\) so small that the arcs \(\{d_L(s,c)<2\epsilon\}\), \(c\in\mathcal C\), are disjoint and every complementary arc has nonempty interior. These arcs specify fixed exceptional windows. The pins will be exact off the smaller windows \(d_L(\pi(\cdot),\mathcal C)<\epsilon\). Remove the vertices of \(S_{0,\delta}\) with \(d_L(\pi(v),\mathcal C)<\epsilon/2\). Among the remaining graph components retain those that contain a vertex with \(d_L(\pi(v),\mathcal C)\ge\epsilon\); denote their union by \(A_{\delta,\epsilon}\). Thus every skeleton vertex outside the \(\epsilon\) windows belongs to \(A_{\delta,\epsilon}\), while this set avoids the \(\epsilon/2\) windows. Lemma 34 (Bounded label count). At fixed \(\mathcal L\) and \(\epsilon\), the number of connected components used to form \(A_{\delta,\epsilon}\) is bounded by a constant \(M(\mathcal L,\epsilon)\) independent of sufficiently small \(\delta\). Proof. A retained component contains a traversal segment beginning next to a removed interval and reaching distance at least \(\epsilon\) from \(\mathcal C\), without visiting a removed vertex. Indeed use a maximal portion of the original traversal outside the removed set that visits a deep vertex. Its projection travels a distance at least \(\epsilon/2-o(1)\). For distinct graph components these portions have disjoint time interiors, because a shared traversal vertex would join the components. Lemma 33 bounds their number. The same proof, using any fixed smaller constants in the two thresholds, covers rounding at endpoints. It puts no bound on the number of short excursions confined to the windows. ◻ Definition 35 (Filled brackets). In the plane spin law impose \(B=+\) on all of \(S_{0,\delta}\) and \(W=+\) on \(A_{\delta,\epsilon}\). Anchor the height to zero at one doubly pinned vertex, and restrict it to the original interior. Its law is the upper filled bracket, denoted \(H_\delta^{+,\epsilon}\). For the lower filled bracket \(H_\delta^{-,\epsilon}\) interchange the colors: impose \(W=+\) on the whole skeleton and \(B=+\) on \(A_{\delta,\epsilon}\), with the same zero anchor. These finite pin events have positive probability. In a finite free ambient graph the constant zero height is an admissible extension; Proposition 13, or its deterministic enclosing-cut comparison, keeps the finite event positive in the plane limit. All plane conditionings below can equivalently be obtained by first taking the ambient-volume limit at a fixed mesh. Local comparison gives this limit, and division is only by a fixed positive finite-event probability at that stage. Lemma 36 (Integer traces and order). The bracket traces are actual integer heights satisfying \[ H_\delta^{+,\epsilon}\in\{0,1\},\qquad H_\delta^{-,\epsilon}\in\{-1,0\} \quad\hbox{on }S_{0,\delta},\qquad H_\delta^{\pm,\epsilon}=0\quad\hbox{on }A_{\delta,\epsilon}. \tag{59}\] Conditional on either trace, the free interior has the original weighted height Gibbs law. There is an ordered coupling \[ H_\delta^{-,\epsilon}\le h_\delta\le H_\delta^{+,\epsilon} \tag{60}\] on every interior face. The bounded-trace smearing estimates of Proposition 21 apply to both brackets with constants independent of the window sizes. Proof. The integer inverse image of \(B=+\) is the union of the pairs \(4t+\{0,1\}\), whereas that of \(W=+\) is the union of \(4t+\{-1,0\}\). A nearest-neighbor chain of constant first color cannot leave its lifted pair, since different pairs have distance at least three. Connectedness of \(S_{0,\delta}\) and its zero anchor therefore give precisely (59); second-color plus pins select the zero endpoint of the pair. This argument establishes the integer branch, rather than merely its residue modulo four. Lemma 33 separates every free site from exterior interactions. After conditioning on the skeleton heights, the nearest-neighbor weights factor over the interior components and the exterior; factors between fixed sites affect only the trace probability. Lemma 3 identifies each interior factor with the weighted height law. Applying Lemma 15 to each fixed trace, and then averaging the resulting kernels, proves (60). All these traces have absolute value at most one, so Proposition 21 gives the last assertion. In particular the upper mean is between zero and one, and the lower mean between minus one and zero, by comparison with the flat laws. ◻ Our target is the identity \[ \lim_{\delta\downarrow0} \mathbb E\left[H_\delta^{\pm,\epsilon}(\Delta\varphi) F_\delta\right]=0 \tag{61}\] for the local factors in (58), with the grid and windows fixed. We will prove it under the separating geometric hypotheses stated in Proposition 44: two grid levels must bracket the insertion disk and miss the spectators, and the remaining pieces in the intervening strip must separate to its two sides in an oblique projection. This condition will let us move all the other factors to one side of a reflection line while keeping the moved pin sets separated. The next constructions provide the integer and moment control needed to carry out those moves. Opening gaps and checking the local liftChoose two levels \(\ell_-<\ell_+\) from \(\mathcal L\) strictly below and above \(K_0\), respectively, and missing every spectator disk with a positive margin. Let \(\mathcal C_0\subset\mathcal C\) be their boundary intersection coordinates. Fix \(0<a\ll\epsilon\), smaller also than all interpoint distances in \(\mathcal C_0\). Delete skeleton sites satisfying \(d_L(\pi(v),\mathcal C_0)<a\). Of the remaining graph components keep only those reaching distance at least \(2a\) from \(\mathcal C_0\). Delete the first-color pins on the discarded sites as well. All deletions lie in \(O(a)\) neighborhoods of \(\gamma(\mathcal C_0)\); no second-color pin is changed. The first color is \(B\) for the upper bracket and \(W\) for the lower one; the proof below uses upper-bracket color names. Group the retained first-color sites according to the successive projected arcs between points of \(\mathcal C_0\). Let \(P_i\) be the spin pin event on group \(i\), including its second-color pins, and put \[ P=\bigcap_{i=1}^m P_i,\qquad p_{i,\delta}=\mathbb P(P_i),\qquad J_\delta=\prod_{i=1}^m p_{i,\delta}. \tag{62}\] The number \(m\) is fixed. It bounds the number of groups, not the number of first-color graph components. Each group contains a doubly pinned representative \(v_i\): the degree-one traversal crosses the intervening arc, including its nonempty exact-pin core. Transversality at \(\ell_\pm\) implies that, after the deletions, every group has a positive distance from the two levels. Thin neighborhoods with endcaps around its limiting compact arc give pairwise disjoint filled isolating neighborhoods \(U_i\), each a topological disk. Choose also a smaller filled core \(V_i\Subset U_i\) containing all its pin sites, with room in \(U_i\setminus V_i\) for two nested collar cuts. These neighborhoods avoid all fixed test disks. All clearances are positive at this fixed \(a\). Let \(C_i\) be the additional local check that all first-color pinned sites in group \(i\) use one and the same lifted pair. It is an event of the spins and relative increments in \(V_i\): choose connecting paths there from \(v_i\) to all the pinned sites and compare their lifts. The result is independent of the selected paths by Lemma 3. Define \[ P_{\mathrm{loc}}=P\cap\bigcap_{i=1}^m C_i. \tag{63}\] The checks are not included in the probabilities \(p_{i,\delta}\). Lemma 37 (Marker checks). For every fixed \(a,\epsilon\) and separated placement of the groups, \[ \mathbb P(P_{\mathrm{loc}}\mid P)\longrightarrow1. \tag{64}\] The assertion holds also after any fixed rigid translations or lattice reflections of the groups, and along converging placements that retain the specified positive clearances. Proof. Consider one intervening projected arc. Every retained graph component touches the boundary of one of the deleted intervals: otherwise it would be a component of the original connected walk with no neighbor outside. More explicitly, a maximal unremoved traversal interval containing a vertex at depth \(2a\) starts or ends at depth \(a+o(1)\). It gives a pinned chain from that endpoint to depth \(2a-o(1)\), hence a crossing of the projected marker at depth \(3a/2\). There is also a retained component crossing the whole intervening arc. The last-left-visit, first-right-visit construction in Lemma 33 gives such a chain; since \(a\) is much smaller than the arc length, it crosses both endpoint markers. Thus every component reaches at least one marker, and one component joins the two markers. Fix an endpoint marker \(s_*\) and its spatial point \(z_* =\gamma(s_*)\). All crossings of that marker, however numerous, occur in a ball \(B(z_*,r_\delta)\) with \(r_\delta\to0\). This follows from uniform convergence into the normal collar; an edge crossing the projected coordinate adds only an \(O(\delta)\) error. Choose a fixed outer radius \(\rho\ll a\) such that \(B(z_*,2\rho)\subset U_i\) and the ball avoids all second-color pins and equality edges. Each of the relevant pinned chains enters the inner ball and leaves the outer one, because its endpoints have projected distances at least \(a/2-o(1)\) from \(s_*\). At these short scales arclength and Euclidean distance along the \(C^2\) boundary are uniformly comparable. First fix \(r>0\), and then take \(\delta\) small enough that \(r_\delta<r\). By Lemma 10, a stack of favorable good circuits between radii \(r\) and \(\rho\) fails with probability at most \(C(r/\rho)^\alpha\). Apply this estimate keeping all second-color constraints first as equality edges \(E_0\). They avoid this annulus, and every first-color pin in it is favorable. Restoring the actual plus labels costs at most \(2^{M(\mathcal L,\epsilon)}\) by Lemma 34 and the component-label construction of Section 2. A good surrounding circuit joins all the pinned chains through its constant first-color boundary layer. Every joined chain therefore has the same actual lifted pair. This costs one circuit event at the marker, regardless of the number of chains. There are finitely many markers. After the mesh limit send \(r\) to zero to make all their failure probabilities vanish. The traversing component ties together the two marker pairs of each group, proving (64). Translations and reflections preserve this geometric argument; apply the buffer estimate afresh in their images. Only spins and increments enter \(C_i\), so no reflection invariance of the particular cell augmentation is being assumed. ◻ Moments after rare conditioningProposition 13 applies to the ordinary events \(P_i\), because their filled neighborhoods are disjoint and their total number of connected second-color prescriptions is bounded. It gives \[ c J_\delta\le\mathbb P(P)\le C J_\delta. \tag{65}\] Constants depend on the fixed separated geometry, including \(a\). This is a multiplicative estimate at the scale of the pin probabilities. An additive mixing error would give no bound after division by \(J_\delta\), which may be extremely small. Proposition 38 (Checked pin moments). Consider any of the fixed separated arrangements above, including arrangements enlarged by reflected copies. Let \(Y_\delta=H_\delta(f)\), where \(f\) is a real smooth zero-integral test supported in a disk having a filled cut-search neighborhood disjoint from all \(U_i\). For every \(1\le p<\infty\), \[ \mathbb E\bigl[|Y_\delta|^p\mid P_{\mathrm{loc}}\bigr]\le C_p \tag{66}\] for all sufficiently small \(\delta\). The constants are uniform on compact families of such arrangements with positive clearances and bounded smooth test norms. The same holds for finite collections of these tests and, by separating real and imaginary parts, for complex tests. Proof. Work first in a finite simply connected free ambient triangulation, large enough to contain all neighborhoods and collars. On \(P_{\mathrm{loc}}\), anchor \(H(v_1)=0\). The constrained height arrays are exactly those satisfying, for integers \(t_i\) with \(t_1=0\), \[ \begin{aligned} H(v)&\in4t_i+I\quad &&\text{on all first-color pins in group }i,\\ H(v)&=4t_i&&\text{on its second-color pins}, \end{aligned} \qquad I=\begin{cases}\{0,1\},&\text{upper bracket},\\ \{-1,0\},&\text{lower bracket}. \end{cases} \tag{67}\] The forward implication is the definition of the checks. Conversely these constraints impose both colors at their prescribed sites and one pair on each whole group. Simple connectedness and the Gray-code lift exclude additional winding constraints. The array weight is exactly the product of the original edge weights. Partition these arrays by \(\kappa=(t_2\bmod2,\ldots,t_m\bmod2)\), so there are at most \(2^{m-1}\) classes. If \(H,H'\) belong to the same class, put \(s_i=(t_i+t_i')/2\in\mathbb Z\). On a first-color pinned site, each of \(\lfloor(H+H')/2\rfloor\) and \(\lceil(H+H')/2\rceil\) belongs to \(4s_i+I\); on a double pin both equal \(4s_i\). Thus both rounded outputs satisfy (67), although their parity classes can differ from the input class. The anchor stays zero. The weighted midpoint verification in Section 3 establishes the edge-weight premise of Theorem 18. What remains is a positive central mass in every input class. In the test neighborhood require one good cut surrounding the test, with a fixed positive separation from its support. In the collar of each nonanchor obstacle require two nested good cuts of opposite signs of the first color in \(U_i\setminus V_i\), enclosing the entire check support. All these searches have disjoint fixed buffers free of equality edges and second-color labels. Lemma 10, successive conditioning, and the bounded label cost give a joint conditional probability at least \(c_0>0\) under \(P\). Expose the test cut from the exterior and choose the collar cuts by their corresponding stopped explorations. Lemma 37 implies that intersecting this event with \(P_{\mathrm{loc}}\) still has probability at least \(c_0/2\) under \(P\) for fine mesh. The pin checks can be read within the \(U_i\), outside the entire test search region. Conditional on the exterior record and on the actual height layer of the test cut, its inside is the unconstrained weighted height problem with a consecutive-pair trace. Subtract its possibly random common offset. Since \(\int f=0\), this does not change \(Y_\delta\). Proposition 21, using a finite partition into smaller smearing balls if necessary, gives a fixed \(M_0\) and a conditional probability at least \(1/2\) of \(|Y_\delta|\le M_0\). Consequently a central event \(\mathcal A\), including all selected cuts and checks and the condition \(|Y_\delta|\le M_0\), has \[ \mathbb P(\mathcal A\mid P_{\mathrm{loc}})\ge c_1>0, \qquad \mathcal A\subset\{|Y_\delta|\le M_0\}. \tag{68}\] Lemma 14 supplies in each nonanchor collar a weight-preserving involution shifting all its inner heights by \(+4\) or \(-4\), relative to the exterior. The relevant component is chosen from the first-color, status, and cut record, without using its fair second-color label. Its flip preserves that record. All spins on the protected inner and outer regions, all pin labels, and all local checks remain unchanged. It also preserves \(Y_\delta\) and its test-cut record: the entire test search neighborhood lies outside \(U_i\), in the protected exterior of the switch. The disjoint collars give commuting involutions; the \(i\)th one flips precisely the parity of \(t_i\). These involutions act on the augmented spin and status measure. The event \(\mathcal A\) records only the selected cuts, the checks, and the displayed bound on \(Y_\delta\); it does not fix the extra exterior heights used to estimate its probability. It is therefore invariant under the involutions. Each orbit has one equally weighted member for every parity vector, so \[ \mathbb P\bigl(|Y_\delta|\le M_0,\ \kappa=k \mid P_{\mathrm{loc}}\bigr) \ge 2^{-(m-1)}c_1\quad\text{for every }k. \tag{69}\] Marginalizing the statuses preserves this identity for the height parity classes. The orbit calculation does not assert independence after conditioning on the checks. When \(m=1\) no collar switch is needed. The face-area weights of \(f\) have bounded total absolute mass, and coordinatewise rounding changes the associated linear statistic by at most half that mass. Increase \(M_0\) to absorb this bound. Apply Lemma 20 with (69) and the parity partition. It gives (66), uniformly in the ambient volume. Exhaustion at each fixed mesh gives the plane assertion; Fatou’s lemma transfers the moment bounds. With no obstacles use Proposition 22. The construction uses only fixed positive margins and finitely many requests, proving the stated uniformity and the finite-collection version by Hölder’s inequality. ◻ Normalized reflection bounds and analytic translationA height difference between representatives of two obstacles is not local to either obstacle. Its exponential can be split into two local phase factors, one at each representative. We use the stationary Haar-lift phases from Proposition 25: for any fixed real frequency \(\theta\), put \[ Z_\theta(v)=U_\theta\exp\{i\theta(H(v)-H(o))\}, \tag{70}\] with an independent uniform unit complex variable for every phase field needed. Two factors from the same field share this auxiliary variable, so \(Z_\theta(v)\overline{Z_\theta(w)} =\exp\{i\theta(H(v)-H(w))\}\). Changing the anchor is absorbed by Haar invariance. The joint spin, increment, and phase law is reflection positive, and a phase value at a site on one side of a row belongs to that side’s algebra. Thus each factor can move with its own obstacle, including when its balancing factor lies on the other side of the row. For a site-row reflection \(\vartheta\), use \(\langle A,B\rangle_\vartheta=\mathbb E[\overline{\vartheta A}B]\) on its positive side, quotienting by null vectors. Pure normal translation by \(b_\delta=\sqrt3\,\delta\) is the positive self-adjoint contraction \(S_\delta\) of Proposition 25. Lemma 39 (Normalized side norm). Suppose a family of checked obstacles and factors lies strictly on one side of a site row. Their filled neighborhoods and all needed check paths lie on that side; unbounded factors have free test neighborhoods disjoint from the obstacle neighborhoods. If \(A\) is a bounded product, possibly including arbitrary Haar phases, times at most one smooth zero-total insertion, then \[ \left\|A\prod_i\frac{\mathbf 1_{P_i\cap C_i}}{p_{i,\delta}} \right\|_\vartheta\le C. \tag{71}\] The bound is uniform on compact families with the stated margins. Proof. Let \(J\) denote the product of the probabilities on this side. Squaring the norm gives \[J^{-2}\mathbb E\left[\overline{\vartheta A}A\, \mathbf 1_{P_{\mathrm{loc}}\cap\vartheta P_{\mathrm{loc}}}\right].\] The reflected arrangement consists of two copies of every obstacle, all with disjoint filled neighborhoods. The strict row margin separates the two copies. Their individual probabilities are the same \(p_{i,\delta}\), so (65) bounds the probability of the ordinary doubled pin event by \(CJ^2\). The checked event has no larger probability. If \(A\) contains an insertion \(Y\), Proposition 38 in this doubled arrangement and Cauchy–Schwarz bound \(\mathbb E[|Y\,\vartheta Y|\mid P_{\mathrm{loc}}\cap \vartheta P_{\mathrm{loc}}]\) by a constant. Bounded factors and unit-modulus phases contribute only their uniform bounds. The factor \(J^2\) cancels exactly, proving the assertion. ◻ For a related separating-line continuation, see (Duminil-Copin et al. 2026, sec. 7.1, Lemma 7.4). Here we must also normalize by rare pin probabilities: Lemma 39 supplies the bounded matrix elements before the continuation is applied. The following argument proves the exact version needed for these checked obstacles. Lemma 40 (Analytic translation). Partition a finite arrangement of the preceding checked obstacles and local factors into two families separated strictly in projection on a lattice reflection normal \(n\). At most one factor is an unbounded zero-total insertion. Translate the high family by \(sn\), and let \(M_\delta(s)\) be its plane expectation normalized by the product \(J_\delta\) of all individual ordinary pin probabilities, at lattice normal-step translations. If \[M_\delta(s_\delta)\longrightarrow0\] for every \(s\) in a nonempty open interval \(I\subset(0,\infty)\) and every lattice rounding \(s_\delta\to s\), then \(M_\delta(0)\to0\). The same is true for a low family translated by \(-sn\), and along any converging sequence of other placements preserving the required margins. Proof. Choose \(\eta>0\) smaller than the actual projection gap between the enlarged supports. Back the high family up by \(\eta_\delta=N_\delta b_\delta\to\eta\), where \(N_\delta\) is a positive integer. There is still a fixed gap; choose a site row in it, converging to a line in the limiting gap. Let \(B_\delta\) be the normalized high-side factor in this backed arrangement and let \(A_\delta\) be the reflected conjugate of the normalized low-side factor. Lemma 39 gives \(\|A_\delta\|_\vartheta,\|B_\delta\|_\vartheta\le C\). Individual \(p_{i,\delta}\) are invariant under lattice translation and reflection, so their product is the same throughout the motion. For \(\Re z>-\eta_\delta\) set \[ f_\delta(z)=\int_{[0,1]} \lambda^{(z+\eta_\delta)/b_\delta}\, \gamma_{A_\delta,B_\delta}(\,\mathrm d\lambda), \tag{72}\] where the finite cross measure is constructed in Lemma 61, with its circle variable integrated out. For \(\Re w>0\) use \(\lambda^w=e^{w\log\lambda}\) on \(\lambda>0\) and give it value zero at \(\lambda=0\). Corollary 62 proves that this is holomorphic and bounded by \(\|A_\delta\|_\vartheta\|B_\delta\|_\vartheta\). Thus \(|f_\delta|\le C^2\), and all fine meshes have the common domain \(\Re z>-\eta/2\), which contains zero as an interior point. At \(s_\delta=m b_\delta\ge0\), the exponent in (72) is the positive integer \(m+N_\delta\). The transfer interpretation therefore gives the exact equality \(f_\delta(s_\delta)=M_\delta(s_\delta)\). This never evaluates a zeroth spectral power at the kernel. Cauchy’s estimates give a uniform derivative bound on compact subsets of the common half-plane, so converging lattice roundings sample the same limiting function. Every sequence has a subsequence on which \(f_\delta\) converges locally uniformly to a bounded holomorphic function. It vanishes on \(I\) by hypothesis, hence throughout the half-plane by the identity theorem, and in particular at zero. Subsequence extraction proves the claim for the original sequence. Rigid translation preserves distances inside each family, and moving the families apart increases their projection gap. The preliminary backoff was smaller than that gap. Thin filled neighborhoods and check paths can therefore be kept on their own sides at every step; their reflected copies have the same separation. These observations verify the side-norm hypotheses, including for convergent variations of the other placements. Reversing \(n\) proves the low-family version. ◻ The three-direction geometry and phase projectionHere is the precise geometry needed for the insertion identity. Put \[ e=(0,1),\qquad u=(\sqrt3/2,1/2),\qquad u'=(-\sqrt3/2,1/2). \tag{73}\] The levels \(\ell_\pm\) chosen above strictly bracket \(K_0\) and avoid every spectator disk. After the boundary intersection gaps are opened, each boundary group and each spectator support lies wholly above, below, or between these levels. Call the outer families \(T\) and \(B\). Require the middle family to split into \(L\) and \(R\) with, for some \(\kappa>0\), \[ \sup_{z\in L}z\cdot u<\inf_{z\in K_0}z\cdot u-\kappa, \qquad \inf_{z\in R}z\cdot u>\sup_{z\in K_0}z\cdot u+\kappa. \tag{74}\] Suprema over a family mean over all its enlarged supports. Its obstacle neighborhoods, check paths, and representative phases are included in those supports. Empty families are omitted. Choose the neighborhoods sufficiently thin to preserve these inequalities. Overlapping spectator disks must belong to the same family and move together. This geometry is used later only with \(K_0\) and the strip very small compared with their distance to all remaining supports. Lemma 41 (A local choice of the grid). Fix \(z_0\in D\), \(\overline{B(z_0,\rho)}\subset D\), and an integer \(q\ge0\). One can choose a finite grid of regular horizontal levels, depending only on \(z_0,\rho,q\), with the following property. If \(K_0\subset B(z_0,\rho/1000)\) and at most \(q\) spectator disks of radii less than \(\rho/(1000(q+1))\) lie outside \(B(z_0,\rho)\), two grid levels give all the strict geometry in (74). The same grid works for any finite number of such collections of spectator disks. Proof. Translate \(z_0\) to zero for this geometric calculation. In each interval \((\rho/40,\rho/20)\) and \((-\rho/20,-\rho/40)\) choose \(q+1\) regular levels with mutual distances exceeding \(\rho/(80(q+1))\). They exist because regular values are dense and each candidate interval has length \(\rho/40\). Their union is the grid. A spectator’s closed vertical projection has length less than \(2\rho/(1000(q+1))\), so it meets at most one level in either candidate family. At least one level in each family therefore avoids all \(q\) disks, with a positive margin. These two levels strictly bracket \(K_0\). Every boundary point and middle-strip spectator point is outside \(B(0,\rho)\) and has \(|y|<\rho/20\). Thus \(|x|>\sqrt{399/400}\,\rho\), and \(|(\sqrt3/2)x+y/2|>\rho/2\), with the sign of \(x\). A connected middle boundary arc or spectator disk cannot change this sign. It consequently belongs wholly to \(L\) or \(R\), whereas the \(u\)-projections of \(K_0\) have absolute value at most \(\rho/1000\). Opening small intersection gaps and choosing sufficiently thin filled neighborhoods preserves these strict inequalities. The construction of the grid preceded the choice of the disks, proving the last assertion. ◻ Lemma 42 (Separated insertion). At fixed positive gaps satisfying (74), and for any product \(\Psi_\delta\) of local Haar-phase factors at the representatives with fixed frequencies, \[ J_\delta^{-1}\mathbb E\left[ X_\delta F_\delta\Psi_\delta\mathbf 1_{P_{\mathrm{loc}}}\right] \longrightarrow0. \tag{75}\] This holds for every converging lattice-rounded sequence of placements with the stated strict separations. Proof. Figure 2 records the successive separating projections. Keep \(X_\delta\) fixed and move all other factors, including each check and each phase with its obstacle. First translate \(T\) by \(a_+e\) and \(B\) by \(-a_-e\). Each is an entire extreme side across an existing horizontal gap. Choose these two distances sufficiently large that \(T\) is strictly above \(K_0\) and \(B\) strictly below it in \(u\)-projection. With (74), the families \(Q_+=T\cup R\) and \(Q_-=B\cup L\) are then strictly above and below \(K_0\), respectively, in that projection. Translate \(Q_+\) by \(bu\), with \(b\) sufficiently large that it is vertically above \(K_0\) and below \(K_0\) in \(u'\)-projection. Both requirements are possible because \(u\cdot e=1/2\) and \(u\cdot u'=-1/2\). Translate \(Q_-\) by \(-cu\), with \(c\) so large that it is above \(K_0\cup Q_+\) in \(u'\)-projection. Each of these moves increases an existing \(u\) gap. Finally translate \(Q_-\) by \(du'\). It is an entire extreme side across a strict \(u'\) gap, and \(u'\cdot e=1/2\), so large \(d\) puts it vertically above \(K_0\) as well. At every move, within-family distances stay fixed and between-family projection gaps increase. Thus no filled obstacle neighborhood meets another obstacle or the insertion neighborhood. The required thin local paths remain available. All distances can be chosen in open ranges, in the order \(a_+,a_-,b,c,d\). The translations can be made exactly on the lattice. If \(a_1=(1,0)\) and \(a_2=(1/2,\sqrt3/2)\) generate \(\mathbb T\), then \[\sqrt3 e=-a_1+2a_2,\qquad \sqrt3 u=a_1+a_2,\qquad \sqrt3 u'=-2a_1+a_2.\] Round each physical distance to a multiple of \(b_\delta\). The five rounding errors are \(O(\delta)\); all the finitely many strict margins therefore survive. Site reflection rows in these directions have spacing \(b_\delta/2\), so a row can also be chosen in every fixed gap. At the final placement there is a horizontal site row separating \(X_\delta\) from every other factor. Reflection Cauchy–Schwarz, Lemma 39, and Proposition 32 bound the absolute value of the normalized expectation by \(C\|X_\delta\|_\vartheta\to0\). Adding phases does not change this norm of the phase-free insertion. For every fixed admissible \(a_+,a_-,b,c\), the last assertion holds for \(d\) in a nonempty open interval of sufficiently large values and for every lattice rounding. Lemma 40 therefore removes the \(du'\) move. The resulting assertion holds for every sufficiently large \(c\) with earlier distances fixed, so the same lemma removes the \(-cu\) move. Continue in the order \(bu\), \(-a_-e\), \(a_+e\). At each stage later distances may depend on the already fixed earlier ones; the open-interval assertion is exactly what the analytic lemma needs. This proves (75) at the original placement. Empty families simply omit their moves. ◻ On \(P_{\mathrm{loc}}\) the double-pin representatives satisfy \(H(v_i)=4t_i\) in the anchor convention of (67). In particular \[D_i=\frac{H(v_i)-H(v_1)}4=t_i-t_1\in\mathbb Z.\] For \(s=(s_2,\ldots,s_m)\in[0,2\pi]^{m-1}\), independent Haar fields give the exact balanced character identity \[ \exp\left(i\sum_{i=2}^m s_i D_i\right) =\prod_{i=2}^m Z^{(i)}_{s_i/4}(v_i)\overline{Z^{(i)}_{s_i/4}(v_1)}. \tag{76}\] The auxiliary Haar variables cancel. This identity is valid for unbounded integer lifts; no reduction of the differences modulo four has been made. Let \[ P_= =P_{\mathrm{loc}}\cap\{D_i=0\text{ for all }i\ge2\}. \tag{77}\] Fourier orthogonality on the integer variables gives \[ \mathbf 1_{P_=}= \frac{\mathbf 1_{P_{\mathrm{loc}}}}{(2\pi)^{m-1}} \int_{[0,2\pi]^{m-1}} \exp\left(i\sum_{i=2}^m s_iD_i\right)\,\,\mathrm ds. \tag{78}\] For each fixed \(s\), Lemma 42 applies to the right-hand character. At this fixed geometry its normalized integrand is bounded uniformly in \(s\) and \(\delta\), since \[J_\delta^{-1}\mathbb E[|X_\delta F_\delta|\mathbf 1_{P_{\mathrm{loc}}}] \le \frac{\mathbb P(P)}{J_\delta}\,C_F \mathbb E[|X_\delta|\mid P_{\mathrm{loc}}]\le C.\] Equations (65) and (66) justify this bound. Dominated convergence in (78) yields \[ J_\delta^{-1}\mathbb E[X_\delta F_\delta\mathbf 1_{P_=}] \longrightarrow0. \tag{79}\] Synchronizing offsets and filling the gapsKeep the grid and windows fixed. Choose a radius \(r_0>0\) so small that the balls about \(\gamma(\mathcal C_0)\) of radius \(2r_0\) are disjoint, avoid every test disk, and lie within the single-color portions of the windows. In particular they meet no second-color equality edge or pin. The first-color deletions are contained in balls of radius \(Ca\) about these points, for a fixed \(C\). Write \(\mu_{\delta,a}\) for the law conditioned on \(P\), \(\mu_{\delta,a}^{=}\) for the law conditioned on \(P_=\), and \(\mu_{\delta,0}\) for the corresponding filled bracket. These denote one chosen bracket sign at a time. Lemma 43 (Gap closing). There is a function \(\omega(a)\to0\) as \(a\downarrow0\) such that \[\begin{align*} \limsup_{\delta\downarrow0} \mathbb P(P_=^c\mid P)&\le\omega(a), \tag{80}\\ \limsup_{\delta\downarrow0} \left\|\mu_{\delta,a}^{=}|_{\mathcal I_\delta} -\mu_{\delta,0}|_{\mathcal I_\delta}\right\|_{\mathrm{TV}} &\le\omega(a),\tag{81}\\ \limsup_{\delta\downarrow0} \mathbb E_{\mu_{\delta,a}^{=}}|X_\delta|^p &\le C_p\qquad(1\le p<\infty), \tag{82}\end{align*}\] where \(\mathcal I_\delta\) is the joint increment information in the fixed test disks. The constants in the last line are independent of all sufficiently small \(a\). Proof. For each whole gap use a logarithmic stack between radii \(Ca\) and \(r_0\), retaining the second-color prescriptions first as equality edges \(E_0\). All first-color pins in this stack are favorable and there is no equality edge crossing it. A surrounding good plus circuit joins the traversing first-color arms on its two sides. The arms exist by the degree-one traversal in Lemma 33; they run from the inner gap neighborhood to beyond the chosen outer collar. Together with the local checks, such a circuit identifies the lifted pairs of the neighboring groups. The stack failure probability is at most \(C(a/r_0)^\alpha\). Restoring the boundedly many second-color plus labels costs at most a fixed factor \(2^M\). There are finitely many gaps, and their successive connections join all groups cyclically. Lemma 37 thus proves (80), with a bound of this power form plus terms whose mesh limsup is zero. For comparison with the filled bracket, keep exactly the same second-color equalities \(E_0\) in both laws. Add the missing favorable first-color pins in one gap and use the ordered stopped coupling of Proposition 6. Search outward from the changed region for a common good plus circuit in the same stack. Except with probability \(C(a/r_0)^\alpha\), such a cut is found before the search meets any equality edge or label prescription. The only changes are on its near side, so the correct stopped kernels agree on its far side by Lemma 4. Sample those remaining variables identically. This matches the spins and increments in all test disks, and also the second-color data needed to read every prescribed plus label. The exterior of the small gap ball contains paths within each test disk, so the matching of pair variables there indeed matches its full local increment information. Repeat for the finitely many gaps, including all discarded shallow components inside the changed balls. The conditional laws at every stage use the common \(E_0\) and their own correct query marginals. After this coupling restore the label event. Under each equality law its probability is at least \(2^{-M}\). If the joint records match the label data outside an exceptional event of probability \(r\), then for any event of the test data its two label-conditioned probabilities differ by at most \(C2^M r\). This follows by comparing the two joint numerators and the two label-event denominators separately. Thus the bounded label cost preserves the vanishing total-variation error. Finally conditioning the gapped law further on \(P_=\) changes its total variation by at most \(\mathbb P(P_=^c\mid P)\), which proves (81). No estimate here divides an additive error by the probability of the rare first-color pin event: all couplings already have those conditional laws as their marginals. It remains to prove (82); the separated estimate (66) alone does not provide a uniform constant as the obstacle gaps close. Fix one cut-search annulus around the test support, independent of \(a\), away from the boundary collar. Under \(P\) it has a favorable good cut with conditional probability at least \(c>0\), uniformly in \(a\): use the buffer bound with all remote equalities retained and then the same bounded label cost. By (80), for all sufficiently small \(a\) its intersection with \(P_=\) has conditional probability at least \(c/2\) in mesh limsup. More precisely choose \(a\) so that \(\omega(a)<c/4\), and then take the mesh sufficiently small. The common-offset event can be read outside this whole search disk. Indeed its local checks use the boundary neighborhoods, and one can join all representatives by paths in the complement of the disk. Expose the cut from outside. Conditional on the exterior and its height trace, the interior is again the unconditioned weighted height problem with a consecutive-pair trace. Subtracting its offset and applying Proposition 21 provides a central interval \(|X_\delta|\le M_1\) with positive conditional mass, where \(M_1\) is independent of \(a\). In the anchored array description of \(P_=\) every offset is zero. Thus the constraints are just the fixed intervals \(I\) and fixed singletons \(\{0\}\) in (67). Both rounded midpoints of any two such arrays are admissible, without a parity partition. Lemma 20, with the preceding uniform central mass and bounded rounding error, proves (82). Ambient exhaustion is justified as in Proposition 38. The filled brackets have the corresponding uniform moments by Lemma 36. ◻ Proposition 44 (Bracket insertion identity). Fix a grid, windows, and local factors as in (58). Suppose two grid levels strictly bracket \(K_0\), miss every spectator disk, and give the strict middle-strip geometry (74) for the boundary groups after arbitrarily small intersection gaps are opened. Then both filled brackets satisfy the target identity (61). In particular, any subsequential distributional bracket limit with convergent local test statistics satisfies the corresponding identity against products of bounded continuous functions of those statistics. Proof. At each fixed sufficiently small \(a\), equations (65) and (80) give \(\liminf_{\delta\downarrow0}\mathbb P(P_=)/J_\delta>0\). Divide (79) by this quantity to obtain \(\mathbb E_{\mu_{\delta,a}^{=}}[X_\delta F_\delta]\to0\). Let \(T_M(t)=\max(-M,\min(t,M))\). The second moments in (82) and in the filled bracket imply \[\mathbb E[|X_\delta-T_M(X_\delta)|]\le C/M\] in both laws, uniformly in small \(a\) after the mesh limit. Total variation in (81) therefore yields \[\limsup_{\delta\downarrow0} |\mathbb E_{\mu_{\delta,0}}[X_\delta F_\delta]| \le 2C_F M\omega(a)+2C_F C/M.\] First take the mesh limit at fixed \(a\) as displayed, then let \(a\downarrow0\), and finally let \(M\to\infty\). This proves (61). Weak convergence of the local test statistics, continuity of their bounded factors, and the same moment bound pass the identity to subsequential bracket limits. The window size \(\epsilon\) has stayed fixed throughout. The boundary estimates in Section 6 will control the effect of shrinking these windows, and Section 7 will then transfer the identity to the true field. In particular no separated-obstacle constant was used uniformly when the gaps collided; the independent common-offset estimate was the ingredient that permitted their closure. ◻ Boundary attachments and vanishing boundary effectsThe construction below joins two nearby boundary points by a nonnegative path and completes it through a suitable part of the genuine exterior to surround a small boundary neighborhood. We call the resulting separator a boundary arch. Its failure probability will decay exponentially in the number of available scales. Searches from the small-neighborhood side will then remove the exceptional windows in the pinning brackets. Searches from the opposite side will control an absolute height average near the boundary while leaving distant height observations measurable outside the arch. The first task is to attach a nonnegative path to a prescribed boundary arc. A bulk circuit alone does not give that attachment. We construct a lower comparison law whose mean near the arc is close to \(-1/2\); a level-path exploration then forces a boundary-attached zero path with positive probability. Every real separating site retains its actual height throughout these comparisons. The boundary convention and a synthetic lower traceWrite \(V_\delta\) for the set of face centers on which the finite height problem is defined, including its prescribed boundary sites, and write \(S_{0,\delta}\) for the connected boundary walk of Lemma 33. We use its image as a graph; occurrences of one vertex in the traversal are not different height variables. If a further site circuit is exposed, the usable trace of a retained component consists of its real fixed neighboring sites. The values at those sites remain part of the conditioning. For a height \(H\) and a level \(t\), put \[ \widehat{\mathcal O}_t(H) = (\delta\mathbb T\setminus V_\delta) \,\cup\,\{v\in V_\delta:H(v)\ge t\}. \tag{83}\] Thus only sites outside the original height problem are declared open artificially. A real vertex which is removed during a search is still a real vertex, with its observed height. For the reversed convention replace \(H\ge t\) by \(H\le t\). Here and below every geometric length is positive and fixed before the mesh limit. In tangent and inward normal coordinates at \(p\in\partial D\), let \(Q_a(p)=p+[-a,a]^2\). There is a radius, uniform in \(p\), on which the limiting boundary is a graph with any prescribed small slope tolerance. Parametric convergence has two further uses. First, all portions of \(S_{0,\delta}\) in a fixed local box lie in a vanishing neighborhood of the corresponding limiting arc. Second, two visits belonging to a smaller boundary patch can be joined along the walk in a slightly larger patch. Both assertions have fixed positive slack; they do not assert that the discrete boundary is a graph. To connect such a patch to the genuine exterior, take a lattice path from a point on its exterior side towards an interior point and stop at its first boundary site. Join that site to the desired boundary endpoint along the walk in the larger patch. To justify this local connection, choose a slightly larger limiting arc containing the smaller patch. The inverse of the limiting Jordan parametrization is uniformly continuous. Hence, for fine mesh, all visits to the smaller patch occur in the corresponding traversal interval, up to its fixed endpoint slack. The intervening walk stays in the larger patch by uniform parametric convergence. This applies to repeated visits as well as distinct vertices. For the lower comparison, use \(W\) as the first color. Its plus sign can represent the pair \(\{-1,0\}\) and its minus sign the pair \(\{-3,-2\}\). We place the first pair near a clean boundary arc and the second pair elsewhere. An open-plus cut near the clean arc will then permit reflection of the inner height about \(-1/2\). The following construction fixes these actual integer pairs with only finitely many component labels, even when the discrete boundary walk has many repeated visits. This bounded label count is what keeps the later circuit estimates uniform. Lemma 45 (Synthetic trace). Fix finitely many high and low boundary arcs, separated by transition neighborhoods of positive length, with both types present. The high cores and all their transition neighborhoods lie where the usable actual trace is at least zero; the remaining usable trace is at least \(-2\). One may also add real separator pieces, each connected piece meeting its low part and staying a positive distance from the high cores and their transition neighborhoods. There may be arbitrarily many such pieces, for example when two site circuits enter and leave the domain many times. For all sufficiently small meshes there is a synthetic height \(K\), obtained from a free ambient spin law by first-color pins and at most \(M\) second-color labels, such that its connected prescribed skeleton \(S\) has trace \[ K|_{S^+}\in\{-1,0\},\qquad K|_{S^-}\in\{-3,-2\}. \tag{84}\] Here \(S=S^+\cup S^-\), the high part contains the high cores and stays inside their prescribed larger arcs, and \(M\) depends only on the number of these arcs. It does not depend on the separator pieces, the length of the discrete walk or the number of its repeated vertices. Given its full trace, \(K\) has the usual height Gibbs laws in the bounded faces of \(S\), and these laws are below the actual laws in height order. Before imposing the second-color labels, an event measurable in the first color and its statuses whose failure probability is \(\varepsilon\) has failure probability at most \(2^M\varepsilon\) after they are imposed. Proof. Choose shortened cores of the prescribed arcs, leaving disjoint transition neighborhoods between consecutive cores. The image of an appropriate consecutive portion of the boundary traversal gives a connected graph for each core. Compact limiting cores of opposite types are separated, so their images neither intersect nor have an edge between them at sufficiently small mesh. Any portion not yet assigned is in one of the transition neighborhoods. Repeated visits inside a core belong to that same connected core image. Any repeated visit that could affect assignment outside the cores is localized to a transition neighborhood: otherwise two traversal parameters a fixed positive distance apart would converge to the same point of the Jordan curve. Uniform continuity of its inverse parametrization excludes this possibility. Grow the connected core sets in the finite walk graph. For example, give each unassigned vertex to a nearest core in graph distance, breaking ties in a fixed order, and use a shortest path to that core as its parent. Each resulting part is connected. Each component of the still unassigned graph had a neighboring core, since the entire walk graph is connected; hence the procedure assigns every vertex. The growth stays in the transition neighborhoods until it meets an already assigned core. In particular it never changes a prescribed core or its type. Merge neighboring parts of the same type. Added separator pieces are assigned low and joined to the low parts they meet. Their clearance from the high patch makes this consistent. Every added piece attaches to an existing low part, so it creates no new part; it may merge existing low parts. In particular no cost is charged for the number of real components of an added circuit. Pin \(W=+\) or \(W=-\) on the resulting parts. Their adjacency graph is connected. On each edge of a spanning tree joining opposite-sign parts, choose one corresponding skeleton edge and prescribe \(B=-\) there. Its two endpoints already have opposite \(W\) signs, so coherence forces their \(B\) signs to agree. There are at most \(M\) such labels. Anchor the lift by \(K(o)=-1\) at a plus endpoint of one of these edges. Along a connected constant-\(W\) part the lifted pair is unchanged; a labeled transition changes \(-1\) to \(-2\). Propagation along the spanning tree therefore gives (84). Extra contacts between parts create no further choice of lift: the ambient lift is single valued. The configuration \(B\equiv-\) shows that all the imposed conditions are simultaneously feasible. The separate flat comparison below fixes both spins and does not use this construction. Conditional on \(W\) and its statuses, the \(B\) components have fair independent labels. Requiring at most \(M\) of them to have label minus has conditional probability at least \(2^{-M}\), even if several requests refer to the same component. This proves the last assertion. The height Gibbs property follows on conditioning on the whole trace and integrating out the statuses. On each high part the synthetic trace is at most zero, and on each low part it is at most \(-2\). Lemma 15 gives the claimed comparison on every retained component. ◻ For later stopping arguments it is useful to state the elementary site-circuit fact explicitly. Lemma 46 (Extremal site circuits). In a specified finite annular strip, consider the simple open site circuits surrounding a fixed connected inner box. If one exists, there is an innermost and an outermost such circuit, ordered by their geometric Jordan interiors. Selection of the innermost circuit requires only its trace and observations on its inner side in the strip; selection of the outermost requires only its trace and observations on its outer side. Artificial openness as in (83) does not change these assertions. Consequently, inner circuits selected from the inside and outer circuits selected from the outside in disjoint strips leave the pairwise disjoint unexamined middle components with their height Gibbs laws, independent given the revealed data and their real traces. Proof. Two eligible cycles have inner and outer envelopes made of edges in their union. To see this, if they share at least two vertices, their union is two-vertex-connected. Indeed, after deleting any vertex, each cycle is connected and at least one common vertex remains. The face of this union containing the inner box and its unbounded face have simple cycle boundaries. They give the required envelopes. The inner box is connected and disjoint from the cycles, so it lies in a single face. If the cycles have no common vertex or only one, the requirement that both surround the box makes them nested. In every case the envelopes stay in the original strip and surround its inner box. Finitely many repeated envelopes give the least and greatest Jordan interiors. Geometric interiors, not just sets of enclosed lattice vertices, determine this order. For a proposed innermost circuit \(\gamma\), the assertion that it is selected is equivalent to its being open and to the nonexistence of an eligible open circuit with strictly smaller interior contained in its interior. A nonnested competitor would give such a circuit by the inner-envelope operation. The equivalent assertion reads only the sites on or inside \(\gamma\) in the strip. The outer case is identical with the order reversed. Deterministic tie conventions for a traversal of the selected cycle do not reveal additional sites. An unsuccessful strip can be read in its entirety. All these selection events are consequently measurable in the discarded regions and the separating traces. The nearest-neighbor height density factors over the remaining components, proving the Gibbs and independence claims. Only the goodness test of a genuinely exterior site is deterministic. Every selected real site retains its actual observed height in this factorization. ◻ A local attachmentWe isolate the probabilistic and topological step which joins a bulk path to the actual boundary. Its constants are uniform over the separator traces allowed in the statement. Lemma 47 (Attachment to a clean arc). There are constants \(\lambda>0\) and \(a_0>0\), depending only on \(x\), with the following property. Fix \(b>0\) and put \(s=\lambda b\). Suppose a retained height problem has a connected bounding skeleton consisting of \(S_{0,\delta}\) and separator pieces, all with usable trace at least \(-2\). A clean local patch of the base skeleton has trace at least zero. Use tangential and inward-normal coordinates \((t,y)\) at this patch, and call \(y\) its depth. Assume that all its base-skeleton sites in the box \(|t|\le 2b\), \(|y|\le b\) lie in \(|y|<s/10\), the added separators miss the box, and the compact part above that band is in the domain. The high core and all transition sites can be chosen within \(|t|<b/3\), with a core covering \(|t|\le b/8\). At all sufficiently small meshes, uniformly in the retained trace, the probability of an actual path of heights at least zero from the clean base patch to depth \(s\), staying in \(|t|<b\), is at least \(a_0\). Its boundary endpoint can be joined, through real nonnegative boundary sites in a slightly larger clean patch, to the artificially open exterior. Proof. Choose \(s/b\) small, to be fixed at the end of the proof. Apply Lemma 45 with one high patch as stated and the rest of the skeleton low. The separators are low and meet the low base part, so the number \(M\) of transition labels is bounded by an absolute constant. Work first with this synthetic height \(K\) in a large free ambient triangulation containing the local boxes. Any sufficiently large finite volume suffices: after conditioning on the full skeleton trace, the interior height law is independent of that ambient volume. All estimates below are uniform in this choice. Let \(z\) be a lattice site at distance \(O(\delta)\) from \((0,3s)\). The successful cut and its reflection.Look for a good \(W\)-plus cut surrounding \(z\) between an inner box of radius \(4s\) and an outer box of radius \(b/16\). Slight fixed changes of these numerical radii accommodate lattice rounding. The inner box also contains a site \(v\) of the high core. The annular buffers meet only favorable plus pins, and all transition labels lie outside the outer box. The stack estimate of Lemma 10, followed by the bounded label cost, gives an event \(G\) with \[ \mathbb P(G^c)\le \eta(s/b),\qquad \eta(u)\le C u^{\alpha}, \tag{85}\] for some \(C,\alpha>0\). The event and the choice of cut are measurable in \(W\) and its statuses. Given these variables and the prescribed transition labels, every \(B\) component inside the good cut is free and no such component crosses it. Flip all their labels. On the connected pinned high part one has \[K(v)-\tfrac12B(v)=-\tfrac12.\] Consequently this flip sends \(K(v)\) to \(-1-K(v)\). All increments inside the cut also change sign, since \(W\) is unchanged and \(B\) is reversed. It follows throughout its protected interior that \[ K\longmapsto-1-K. \tag{86}\] This is a weight-preserving involution of the still fair component labels. In particular the conditional mean at \(z\), on \(G\), is exactly \(-1/2\). Why failure has bounded conditional mean.Let \(\mathcal A\) contain the full first color and its statuses and the prescribed second-color labels. Increments satisfy \[ \,\mathrm d(K-BW/2)=-B\,\,\mathrm dW. \tag{87}\] For each \(B\) component \(C\), the portion of \(\,\mathrm dW\) carried by that component has zero curl. Every \(W\)-changing edge belongs to a closed cell. The two changing edges of any triangle share a vertex, so their endpoints belong to the same \(B\) component and their contributions cancel. Its potential \(\phi_C\) has oscillation at most two: on \(C\) it equals \(W\) up to a constant, and outside \(C\) it is constant until a path first hits \(C\). This is also the component-potential calculation in Lemma 14. Integrating (87) from the labeled anchor \(o\), where \(K(o)=-1\), gives an endpoint correction of absolute value at most one and one term \(-B_C(\phi_C(z)-\phi_C(o))\) for each component. Every unlabeled component has conditional mean zero. At most \(M\) components are labeled. Therefore \[ \big|\mathbb E[K(z)\mid\mathcal A]\big|\le 2+2M. \tag{88}\] Since \(G\) is \(\mathcal A\)-measurable, its failure contributes at most \((2+2M)\mathbb P(G^c)\) to the mean. No pointwise height bound or bound on \(\mathbb E[|K(z)|\mid G^c]\) is being used. Combining (86)–(88) shows that \[ \left|\mathbb EK(z)+\tfrac12\right|\le C_M\eta(s/b). \tag{89}\] Boundary-entering level paths and a Gibbs ceiling.Condition on the synthetic height trace on \(S\) and consider the bounded face containing \(z\). Starting at every trace edge with values \(-1,0\), follow its dual level path at level \(-1/2\), stopping when it returns to the skeleton. Reveal only the path and its two adjacent site lips. Continuation is unique: in a triangle containing an edge with values \(-1,0\), the third height is either \(-1\) or \(0\), so exactly two of its edges cross this level. Such a path cannot branch or turn into an independent closed contour. Stop a path also at an earlier revealed segment if necessary, and exhaust all the boundary-entering paths. Each high lip is a connected chain of zeros attached to a zero on the prescribed skeleton; each low lip has height \(-1\). This is a stopped height exploration: the next query is determined by the already revealed heights, so the unrevealed regions retain their height Gibbs laws. Give a remaining region the high or low designation inherited from the side of the exposed paths and the original trace. This designation ignores every unexposed closed contour. It is consistent because a closed contour in a bounded face cannot enclose part of the connected bounding skeleton, or part of a path attached to that skeleton. After all the entering paths have been traced, a low region has usable boundary at most \(-1\), while a high region has usable boundary at most zero. This can alternatively define the designation by cutting the face along the exposed paths and using their oriented lips. If \(z\) is itself revealed, its lip gives the same bounds directly. Height comparison with the constant ceilings \(-1\) and \(0\), whose mean fields are respectively \(-1\) and \(0\), now gives \[ \mathbb EK(z)\le -1+\mathbb P(z\hbox{ has the high designation}). \tag{90}\] An unseen closed contour can create a high island inside a low-designated region. Its entire Gibbs contribution is included in this ceiling comparison; the high designation is not the event \(K(z)\ge0\). Equations (89) and (90) yield a high-designation probability at least \(1/2-C_M\eta(s/b)\). The barriers force a real attachment.Figure 3 depicts the following separation argument. At the two boundary projections \(t=\pm2b/3\), request good \(W\)-minus circuits in annuli with inner size \(2s\) and outer size less than \(b/8\). Choose the inner boxes to contain the whole cross-section \(-s/10\le y\le s\) at the corresponding projection. Each annulus meets only low skeleton pins; its circuit meets the low part and therefore uses the anchored pair \(\{-3,-2\}\). Its adjacent site path contains a surrounding site circuit of heights at most \(-2\). The same stack estimate and label cost bound the probability of failure of either barrier by \(2\eta_1(s/b)\), where \(\eta_1(u)\to0\). These barrier events are intersected with the high-designation event after deriving (90); they were not extra observations in that Gibbs comparison. Every exposed zero lip starts on the designated high patch: the rest of \(S\), including the added separators, has heights \(-3,-2\). Suppose no such lip reaches depth \(s\) while \(|t|<b\). Before any sideways exit its sites have depth less than \(s+O(\delta)\), and they cannot have depth less than \(-s/10-O(\delta)\) locally because they lie in the closure of the bounded face on the domain side of the base boundary. To pass the lateral projection \(2b/3\), a lip starting in \(|t|<b/3\) would have to enter the inner box of the right low circuit. It starts outside that circuit, and planar site paths cannot cross without sharing a vertex. It would therefore meet a site of height at most \(-2\), impossible for a zero lip. The left barrier gives the other side. This argument applies to the entire lip, regardless of its number of visits to the shallow strip. Thus all exposed boundary-entering contours are confined to \(|t|<2b/3+O(\delta)\) and \(y<s+O(\delta)\). There is now a path from \(z\) at depth \(3s\) along a horizontal corridor to \(t\) close to \(b\), followed by a downward path towards depth \(-s\). Choose nearest-neighbor lattice paths within \(O(\delta)\) of these segments and stop at the first real skeleton site. The horizontal corridor is inside the domain and above all the confined exposed paths. The descent lies beyond their horizontal range. Its proposed endpoint below the shallow band is genuinely exterior, so the separation property of \(S_{0,\delta}\) forces a first skeleton hit. That hit is low, since its tangential coordinate lies beyond the high patch and all transition zones. No added separator enters this box. Until the first hit the route stays in the same face of \(S\), even when that face has a boundary walk with repeated vertices. It crosses no exposed level path and therefore connects \(z\) to a low-designated boundary portion. This contradicts the high designation of \(z\). The low circuits themselves need not be avoided by this route; they were not used to subdivide the designation. It follows that high designation and the two barriers force an actual zero lip attached to the high patch to rise to depth \(s\). Choose \(s/b=\lambda\) so small that \(C_M\eta(\lambda)+2\eta_1(\lambda)<1/4\). The synthetic attachment then has probability at least \(1/4\). All slope tolerances and mesh errors are chosen only after this positive ratio is fixed. Finally the existence of a path of heights at least zero from this patch to depth \(s\) is an increasing height event. Lemma 45 transfers its lower probability to the actual retained law. Its endpoint is a real clean boundary site. The local walk connection described above joins it to a boundary site incident to the genuine exterior, using real clean sites whose heights are all at least zero. Only after this connection do we use artificial openness outside \(V_\delta\). This proves the lemma, for instance with \(a_0=1/4\). ◻ From attachments to many-scale boundary archesThe local attachment will be joined to other attachments by paths in the free bulk. We establish that second ingredient before iterating the construction across scales. Lemma 48 (Nonnegative paths through bulk tubes). Consider a bounded face of a connected fixed skeleton, with its weighted height law and usable trace at least \(-2\). Fix a finite network of tubes in that face with positive widths and clearance from the skeleton. Their lengths, widths and clearances are specified by fixed ratios. For all sufficiently small meshes, the probability that every requested tube is traversed in its prescribed direction by a site path of heights at least zero is bounded below by a positive constant depending only on \(x\) and the network geometry. The bound is uniform over the shape of the skeleton outside these clearances and over its prescribed trace. Proof. Compare from below with the flat trace \(-2\) on the connected bounding skeleton. Realize this flat problem by constant spin pins in the ambient graph. In an allocated annulus around a tube ball, ask for at least three nested good first-color circuits with alternating signs, using disjoint buffers. The conditional buffer estimates give positive probability. Constancy of the other color on the connected skeleton is first imposed as equality. Its single component label is fair conditional on the first color and its statuses. Prescribing that label therefore leaves the circuit-search probability unchanged. Between successive opposite-sign circuits there are enclosing first-color walls, so there are at least two enclosing height loops in the allocated annulus. The loops lie wholly in the free bulk. Let \(E\) be the event that at least two enclosing height loops lie wholly in the allocated annulus. This event depends only on the unoriented geometry and contains the alternating-color circuit event, so its probability has the same positive lower bound. Condition now only on unoriented geometry in \(E\). Choose two consecutive enclosing loops in the annulus by a deterministic rule, ordered from outer to inner. All loop jumps are independent fair signs under the flat boundary, by Lemma 15. The height outside the first chosen loop is \(-2\) plus a symmetric sum of other signs, and hence is at least \(-2\) with probability at least \(1/2\). Independently, both chosen jumps are positive with probability \(1/4\). With probability at least \(1/8\) their inner lip therefore supplies a surrounding site circuit of height at least zero. Each loop’s two site lips have constant heights: at every trivalent vertex on the loop the third edge is unoccupied, joining the same-height sites along each lip. Loops not enclosing the target ball cannot change this lip height. A surrounding site circuit can be extracted from its connected site walk. The allocated annuli can be chosen so that successive surrounding site circuits must intersect. For example take equal inner radii \(a\), outer radii \(2a\), and successive center distance \(3a/2\). The enclosed inner disks overlap, whereas either inner disk has a portion beyond the other outer disk; disjoint surrounding circuits could consequently be neither unnested nor nested. After small fixed changes to the radii for lattice rounding, planarity forces an intersection. Finite strings of these annuli give the desired tube paths. Each surrounding-height-circuit event is increasing, so height association multiplies their lower bounds, first in the flat problem and then in the actual problem by height comparison. Only finitely many balls are needed for the fixed tube network. ◻ Proposition 49 (Boundary arch estimate). There are constants \(L>100\), \(c,C>0\) and a positive slope tolerance such that the following holds. Fix \(p\in\partial D\) and a local radius \(R\) satisfying that tolerance. Suppose the actual prescribed trace on \(S_{0,\delta}\) is at least \(-1\) everywhere and at least zero in \(Q_R(p)\setminus Q_r(p)\). Choose any \(N\) positive scales \[16r\le\ell_1,\qquad L\ell_j\le\ell_{j+1},\qquad \ell_N\le R/10.\] At all sufficiently small meshes, \[ \mathbb P\!\left( \begin{array}{c} \text{a site circuit in }\widehat{\mathcal O}_0(H) \text{ surrounds }Q_r(p)\\[-2pt] \text{and is contained in }Q_R(p)\setminus Q_r(p) \end{array}\right) \ge 1-Ce^{-cN}. \tag{91}\] The constants are independent of \(N,p\) and the prescribed trace; the required mesh threshold may depend on the chosen positive scales and the boundary approximation. The same assertion holds with all inequalities reversed when the original trace is at most \(1\) everywhere and at most zero in the clean annulus. All usable sites of the resulting arch have their real height at least zero, or at most zero in the reversed assertion. Proof. We give the increasing construction. All choices of relative widths below are fixed once and for all, depending at most on \(x\). Preliminary blocks at level \(-1\).In block \(j\) seek site circuits of level at least \(-1\) in the two strips \[Q_{\ell_j}\setminus Q_{\ell_j/2}, \qquad Q_{7\ell_j}\setminus Q_{5\ell_j},\] with artificial exterior allowed, each surrounding its inner box. Use Lemma 45 with high intervals on the two clean boundary subarcs running through all these strips. Place their transitions before the innermost buffers and beyond the outermost ones, in the available clean annulus. Low intervals are used on the remaining skeleton. There are only two high arcs, so the number \(M\) of transition labels is independent of \(N\). Before imposing those labels, the slightly narrower buffers in each strip see only favorable first-color pins. By Lemma 10 there is \(a_1>0\) such that, given the earlier complete first-color/status slot records, both good plus circuits in the next block occur with conditional probability at least \(a_1\). All such buffers are disjoint by the choice of \(L\). A good circuit meets a high boundary arc, since that arc traverses the strip. Its adjacent site path is consequently in the anchored pair \(\{-1,0\}\). That path has winding number one around the inner box; erasing unnecessary pieces gives a simple surrounding site circuit at level at least \(-1\). If \(I_j\) records the two-circuit success, the conditional estimate implies, for \(t>0\), \[\mathbb E\exp\!\left(-t\sum_{j=1}^N I_j\right) \le(1-a_1+a_1e^{-t})^N.\] Choosing \(t\) and then a sufficiently small \(a_2>0\) gives \(\mathbb P(\sum I_j<a_2N)\le e^{-c_1N}\). Conditioning on the bounded number of transition labels multiplies this failure bound by at most \(2^M\). Thus with probability at least \(1-C_1e^{-c_1N}\) at least \(a_2N\) blocks have both site circuits. The event that at least this many blocks succeed is increasing in the heights. Height comparison transfers the entire count estimate to the actual law, without conditioning successively on synthetic events in that law. In each actual successful block select an innermost circuit in the inner strip and an outermost circuit in the outer strip. Reveal the unsuccessful strips and every nonretained region. By Lemma 46, conditional on this record \(\mathcal R\), all retained middle components have independent height Gibbs laws. Their skeleton is the base skeleton together with the real portions of the two selected circuits. Each circuit surrounds a boundary-centered box containing a point a fixed positive distance outside \(D\). A site circuit lying wholly in the real domain would have its geometric interior in the simply connected \(D_\delta\), so each selected circuit visits the genuine exterior. Every maximal real run along it therefore ends at a transition to the exterior; its endpoint is a site of the original boundary face layer. Thus every connected real portion meets the base skeleton. There can be arbitrarily many such real portions. In either local attachment comparison they all meet low base sites, since the high patch lies in the untouched middle band. They can therefore be adjoined to the existing low parts without creating new parts or new transition labels, exactly as in Lemma 45. The resulting prescribed graph is connected. Its usable values are at least \(-1\), and in particular at least \(-2\); allowing an extra observed outer rounding layer would give the same latter bound. We do not expose any additional layer on the retained side. The band \(Q_{5\ell_j}\setminus Q_{\ell_j}\) is untouched, and its original base boundary has height at least zero. Upgrading a retained block.For clarity suppress the index \(j\). Put attachment boxes near the two boundary positions with tangential coordinate \(\pm2\ell\). Choose \(b\) to be a small fixed fraction of \(\ell\), then \(s=\lambda b\) as in Lemma 47. Use the local reference height of the limiting boundary in each box. Both boxes lie in \(Q_{5\ell}\setminus Q_\ell\), away from the preliminary separators. Choose the slope tolerance so small that the limiting arc varies by less than \(s/20\) within each box. At small enough mesh the full base skeleton, including all its repeated branches, is in the required \(s/10\) band. These are fixed geometric requirements before the mesh limit. The attachment lemma gives, uniformly conditional on \(\mathcal R\), a probability at least \(a_0\) at each box. Place a horizontal crossbar tube at depth close to \(s/2\) in each box, with depth width less than \(s/10\) and ends beyond its two sides. It must meet every successful rise from the base band to depth \(s\): two primal lattice paths crossing a rectangle in the two different directions share a site. Join these crossbars by narrow bulk tubes running upwards near tangential positions \(\pm2\ell\) and across at depth close to \(2\ell\). All widths are positive fixed fractions of \(s\), and all tubes lie in the free part of \(Q_{5\ell}\setminus Q_\ell\). Lemma 48 gives a positive lower bound for their simultaneous crossings. The two attachments and the bulk crossings are increasing events in the same actual conditional height law. Height association therefore gives their intersection probability at least a fixed \(a_3>0\). Join the boundary ends through the clean real boundary sites to the genuine exterior, as in the attachment lemma. In that exterior connect them by a path below the arc, around the lower side of \(Q_\ell\), staying in \(Q_{5\ell}\setminus Q_\ell\). The upper bulk route and lower exterior route lie in disjoint opposite corridors, so their union contains a closed site walk with winding number one around \(Q_\ell\). It contains a simple surrounding open circuit. Only sites outside the original \(V_\delta\) have been used artificially; no real preliminary separator was given artificial height. This produces the desired level-zero arch in the block. Conditional on \(\mathcal R\), distinct retained middle problems are independent. If at least \(a_2N\) preliminary blocks succeeded, the probability that none upgrades is at most \((1-a_3)^{a_2N}\). Adding the preliminary count failure proves (91). Reflection \(H\mapsto-H\) proves the reversed assertion. When a resulting arch is later used as a conditioning boundary, it is searched for afresh by the height extremal selection of Lemma 46; none of the synthetic constructions or auxiliary successes is then conditioned on. ◻ Vanishing brackets and boundary correlationsThe next estimate removes the mean contribution of the exceptional windows. After establishing compactness in Section 7, we will combine it with the ordered bracket coupling to identify the limiting brackets with the true field. Proposition 50 (Vanishing bracket means). Fix a finite regular grid as in Definition 35. For every \(f\in C_c^\infty(D)\), the upper and lower bracket fields satisfy \[ \lim_{\epsilon\downarrow0}\ \limsup_{\delta\downarrow0} \left|\mathbb EH_\delta^{\pm,\epsilon}(f)\right|=0. \tag{92}\] Proof. The bracket trace belongs to \([-1,1]\) and equals zero away from the finitely many exceptional windows. Choose pairwise disjoint fixed outer neighborhoods of their centers, missing \(\mathop{\mathrm{supp}}f\). Given \(N\), choose \(N\) separated positive scales in each neighborhood and then take \(\epsilon\) sufficiently small that its exceptional window lies inside the innermost box. Finally take the mesh small with this geometry fixed. Condition on the bracket trace. Proposition 49 gives increasing level-zero arches around all windows except with probability at most \(JC e^{-cN}\), where \(J\) is their fixed number. Select innermost arches by testing from the exceptional side. On simultaneous success every retained component meeting \(\mathop{\mathrm{supp}}f\) has nonnegative usable trace: each new real separator site has height at least zero and the old visible base trace is zero. By height comparison the conditional mean on each such component is nonnegative, and hence so is their sum against a nonnegative \(f\). Thus, using the unconditional bracket moment bound of Proposition 21, \[\mathbb EH_\delta^{\pm,\epsilon}(f) \ge -\|H_\delta^{\pm,\epsilon}(f)\|_2 (JC e^{-cN})^{1/2} \ge -C_f e^{-cN/2}.\] The same argument with decreasing arches gives the upper bound. In particular no bound conditioned on arch failure is needed. The moment constant is uniform over the original traces in \([-1,1]\). Since \(N\) is arbitrary, this proves (92) for nonnegative tests. Splitting a smooth signed test into a difference of nonnegative smooth compactly supported tests proves the general case. ◻ Proposition 51 (Boundary moments with exterior spectators). Fix a nonnegative smooth radial bump \(\rho\), supported in the unit disk, with integral one, and fix a sufficiently small \(\theta>0\). For \(z\in D\) write \(d(z)=\mathop{\mathrm{dist}}(z,\partial D)\) and \[\rho_z(u)=(\theta d(z))^{-2} \rho\!\left(\frac{u-z}{\theta d(z)}\right),\qquad Y_z=H(\rho_z),\] where \(H\) is any subsequential distributional and moment limit of the true fields. For every \(1\le p<\infty\), \[ \sup_{z\in D}\|Y_z\|_p\le C_{p,\theta,D,\rho}. \tag{93}\] In particular this bound is uniform when \(z\) approaches any point of a fixed compact boundary arc. Let \(p_0\in\partial D\) and let \(F\) be a product of a fixed number of smooth averages supported a positive distance from \(p_0\). The averages may be fixed in the interior, or may be of the same comparable-depth form with centers approaching fixed boundary points distinct from \(p_0\). Then, jointly in those allowed approaches, \[ \mathbb E[Y_zF]\longrightarrow0\qquad(z\longrightarrow p_0). \tag{94}\] The same statement holds for finite linear combinations of these products. If \(p_1,\ldots,p_m\) are distinct fixed boundary points and \(z_i\to p_i\), then the reference average \(Z_m=m^{-1}\sum_{i=1}^mY_{z_i}\) satisfies \[ \limsup_{z_i\to p_i}\|Z_m\|_2\le C m^{-1/2}, \qquad \sup_m\sup_{z_1,\ldots,z_m}\|Z_m\|_p\le C_p. \tag{95}\] In the first assertion \(m\) and its distinct boundary points are fixed before taking the depth limits. Subsequently \(m\to\infty\) makes these references tend to zero in every finite \(L^p\). Proof. At mesh \(\delta\) put \(Y_{z,\delta}=h_\delta(\rho_z)\), and denote the corresponding lattice spectator product by \(F_\delta\). At a fixed \(z\), the distance from its lattice representative to the prescribed skeleton tends to \(d(z)\). The exact face-area weights of \(\rho_z\) have total mass one, are supported in a ball of radius \(\theta d(z)+O(\delta)\), and are bounded by a constant times \((\delta/d(z))^2\). The ratio between boundary distance and smearing radius is thus bounded above and below independently of \(z\) once the mesh is taken sufficiently small for that fixed placement. Proposition 21, with original trace zero, gives (93). The passage to the limit uses the higher moments from the same proposition. Compactness of the smooth boundary makes its constants uniform over boundary points; no estimate uniform in the approximation error divided by a moving depth is asserted before taking the mesh limit. Choose a small fixed outer neighborhood of \(p_0\) missing all the spectator supports; for approaching spectators this is possible uniformly once their limiting distinct points have been fixed. Given \(N\), choose \(N\) fixed separated scales inside this neighborhood. For all sufficiently close \(z\) the support of \(\rho_z\) is in the inner box of this stack. Apply Proposition 49 to the true zero boundary. Select an outermost increasing arch by testing from outside and reveal its exterior and real trace. The spectator product \(F_\delta\), including its absolute height values, is measurable in that exterior record. On success, the retained region containing the testing ball has nonnegative usable trace, and hence nonnegative conditional mean for its unit nonnegative average. For any nonnegative exterior-measurable factor \(U\) it follows that \[\mathbb E[Y_{z,\delta}U] \ge -\mathbb E\big[|Y_{z,\delta}|U\mathbf 1_{\{\text{increasing search fails}\}}\big].\] The separate decreasing search gives the corresponding upper bound. These searches reveal only their tested sides; they do not condition on the intermediate constructions in the arch proof. Apply the two bounds to \(U=(F_\delta)_+\) and \(U=(F_\delta)_-\), the positive and negative parts of the whole spectator product. If \(F\) has \(k\) factors, Hölder’s inequality and the unconditional \(2(k+1)\)-moment bounds give \[\mathbb E\big[|Y_{z,\delta}F_\delta|\mathbf 1_{\{\text{a search fails}\}}\big] \le \|Y_{z,\delta}F_\delta\|_2\, \mathbb P(\text{a search fails})^{1/2} \le C_F e^{-cN/2}.\] The constants remain bounded for comparable-depth spectators at the other fixed boundary points, by (93). In particular the estimate uses moments in the original zero-boundary law, not moments under a failure event or a random high trace. First take the mesh limit at fixed positions and scales. Then take the indicated approaches to the distinct boundary points. The resulting limsup is at most \(C_F e^{-cN/2}\). Since \(N\) was arbitrary, this proves (94). Finally, (93) bounds the diagonal terms in \(\mathbb EZ_m^2\) by \(C/m\). Each of the finitely many off-diagonal terms vanishes as the depths tend to zero, by (94) with one spectator. This proves the first assertion of (95). Minkowski’s inequality gives its uniform \(L^p\) bounds independently of \(m\). Interpolation between \(L^2\) and any larger finite moment then proves the final claim; for \(p\le2\) use monotonicity of \(L^p\) norms. These are absolute-height references, with no lift constant left unspecified. ◻ Identification of the limiting fieldFix \(x\) throughout, and let \(v\in(0,\infty)\) be the domain-independent constant in Proposition 24. We identify every subsequential limit of the actual zero-boundary fields. The steps below also establish tightness and justify passage of all moments; no assertion of Gaussianity is used before the last step. Compactness, moments, and the insertion identityWe write \(h_\delta(f)=\int_D h_\delta(z)f(z)\,\mathrm dz\). This is the exact face-area pairing from the introduction, including for signed tests. In particular \(\int f=0\) means that its discrete weights sum to exactly zero, so adding a constant to a height lift has no effect. Proposition 52 (Tightness and moment convergence). For every \(t>1\), the true fields are tight in \(H^{-t}_{\mathrm{loc}}(D)\). The same holds for the upper and lower brackets, uniformly in their exceptional windows. Every fixed finite collection of test pairings has uniformly bounded moments of every order. Along a distributional law limit, all its mixed moments converge. These assertions hold also for finite joint couplings of the indicated fields. Proof. A consequence of Proposition 21, using a finite cover of a compact set by interior disks, is \[ \sup_\delta\|h_\delta(f)\|_{L^p} \le C_{K,p}\|f\|_\infty,\qquad \mathop{\mathrm{supp}}f\subset K\Subset D,\quad 1\le p<\infty. \tag{96}\] Indeed, split the face weights by a smooth partition of unity subordinate to that cover. Each resulting weight family has bounded total variation and the required maximum weight on its fixed disk; apply the smearing estimate and the triangle inequality. The argument applies to the brackets after conditioning on their traces, whose values lie between \(-1\) and \(1\). Its constants thus do not depend on the windows. Complex tests are handled by their real and imaginary parts. Here is the compactness argument in detail. Place \(D\) in a square torus and fix \(\chi\in C_c^\infty(D)\). For its Fourier basis \(e_k\), \(k\in\mathbb Z^2\), let \(a_{\delta,k}=h_\delta(\chi\overline{e_k})\). Since the moduli of the basis functions are constant, (96) bounds \(\|a_{\delta,k}\|_{L^p}\) independently of \(k\). For \(s>1\) and \(p\ge2\), Minkowski’s inequality gives \[\begin{align*} \bigl\|\|\chi h_\delta\|_{H^{-s}}^2\bigr\|_{L^{p/2}} &\le \sum_{k\in\mathbb Z^2}(1+|k|^2)^{-s} \|a_{\delta,k}\|_{L^p}^2 \le C_{\chi,p,s}. \tag{97}\end{align*}\] The bounds for smaller \(p\) follow by monotonicity of \(L^p\) norms. Choose \(1<s<t\). A bounded \(H^{-s}\) ball is relatively compact in \(H^{-t}\): its Fourier tail beyond frequency \(M\) has squared \(H^{-t}\) norm at most \((1+M^2)^{-(t-s)}\) times its squared \(H^{-s}\) norm, and its first finitely many coordinates lie in a bounded finite-dimensional set. Markov’s inequality and (97) therefore give tightness of \(\chi h_\delta\) in \(H^{-t}\). Choose nested interior compacts exhausting \(D\), and smooth cutoffs equal to one on successive compacts. For any prescribed error probability, choose a compact set for the \(n\)-th cutoff with error at most that probability times \(2^{-n}\). The simultaneous localizations then lie in a relatively compact set for the local \(H^{-t}\) topology. This proves the stated local tightness. Equivalently, this topology is the compatible subspace of a countable product of the localized Sobolev spaces, with its usual metrizable topology. The same argument and a union bound treat finite joint couplings. For fixed \(f_1,\ldots,f_k\), a monomial \(\prod_i h_\delta(f_i)^{a_i}\) has uniformly bounded \(L^{1+\epsilon}\) norm, for instance with \(\epsilon=1\), by (96) and Hölder’s inequality at sufficiently high orders. Its uniform integrability, joint convergence of the pairings, and truncation prove convergence of that mixed moment. The same argument gives moment convergence with bounded continuous functions of finitely many pairings. In particular all the preceding moment bounds pass to every limit. ◻ A second consequence of the smearing estimate, which we will use at collisions, is the following. If \(f_{z,r}(w)=r^{-2}f((w-z)/r)\), where \(f\) ranges over a fixed bounded family of smooth functions supported in a fixed disk, then on an interior compact, for sufficiently small \(r\), \[ \|h_\delta(f_{z,r})\|_{L^p} \le C_{p,f}\bigl(1+\log(1/r)\bigr)^{1/2}. \tag{98}\] It suffices here and below to take the mesh sufficiently small at each fixed \(r\). Proposition 21 gives this bound since the distance to the boundary is bounded below and the smearing radius is \(r\). It passes to limits by Proposition 52. For plane fields and zero-total \(f\), Proposition 22 instead gives a bound independent of \(r\). Fix henceforth any subsequence on which the true fields converge, and denote its limit by \(H\). Height reflection and moment convergence imply \(\mathbb EH(f)=0\). Lemma 53 (Transfer to the chosen field). The field \(H\) satisfies the limiting insertion identity of Proposition 44 in every disk arrangement allowed there: \[ \mathbb E\left[H(\Delta\varphi) \prod_{\ell=1}^k H(g_\ell)\right]=0, \qquad \int g_\ell=0, \tag{99}\] where each \(g_\ell\) is supported in its indicated spectator disk. The same assertion first holds with each spectator replaced by a bounded continuous function of finitely many zero-total tests in that disk. Proof. Fix a finite grid of regular horizontal levels and positive exceptional windows sufficiently small for the given arrangement. We pass first to the mesh limit and then to the window limit, keeping the chosen true-field marginal throughout. Couple its lower and upper brackets with the true field in order, as in Lemma 36. First take a joint law limit along the chosen subsequence, with the windows fixed. Next shrink the windows and take a further joint limit. Proposition 52 applies uniformly throughout, so these extractions are possible and the middle marginal is always the already chosen law of \(H\). Distributional order passes to the limits because evaluation against each nonnegative smooth test is continuous. Write the resulting ordered triple as \[H^-\le H\le H^+.\] Proposition 50 and moment convergence give \(\mathbb EH^-(f)=\mathbb EH^+(f)=0\), as well as \(\mathbb EH(f)=0\). For every nonnegative smooth \(f\), both nonnegative random variables \(H^+(f)-H(f)\) and \(H(f)-H^-(f)\) thus have expectation zero. Apply this to a countable dense family of nonnegative tests on an exhaustion of \(D\). Continuity of distributions then shows \(H^-=H=H^+\) almost surely as distributions. At fixed windows, Proposition 44 gives the insertion identity for bounded local increment factors. For bounded continuous functions of zero-total pairings it passes to the first law limit by uniform integrability of \(H(\Delta\varphi)\), and then to the window limit by the same argument. The collapsed marginal is the chosen \(H\), so this proves that identity for \(H\). Repeat for any desired finite grid; no change to the chosen marginal is involved. Finally truncate each \(H(g_\ell)\) by a bounded continuous truncation. Hölder’s inequality and moments of orders larger than the number of factors show that the expectation of the truncation error tends to zero. This proves (99). ◻ Boundary references and harmonic moment distributionsThe insertion identity currently permits only zero-total spectator tests. To obtain harmonicity of the full moment distributions, we must allow arbitrary tests, including averages of absolute heights. We construct reference averages that vanish near the boundary; subtracting such a reference expresses each spectator as a finite sum of local zero-total observations. Fix a nonnegative smooth radial bump \(\rho\) of integral one, supported in the unit disk. All unit radial averages below are translations and dilations of this bump. Lemma 54 (Vanishing references). There are finite averages \(R_m\) of unit radial pairings of \(H\), supported arbitrarily near the boundary, such that \[\|R_m\|_{L^p}\longrightarrow0 \quad\text{for every }p<\infty.\] Each \(R_m\) uses finitely many distinct boundary points, with depth chosen after those points are fixed. Its constituent disks can be required to have any prescribed small positive maximum diameter. Proof. Choose distinct points \(p_1,\ldots,p_m\) on a fixed boundary arc. For small \(a>0\), put the centers a distance \(a\) along their inward normals and use bumps \(\psi_{\ell,a}\) of radius \(\theta a\), where \(0<\theta<1/4\) is fixed. The tubular neighborhood theorem for a \(C^2\) Jordan curve gives distance exactly \(a\) to the boundary for these centers when \(a\) is sufficiently small. Define \[Y_{\ell,a}=H(\psi_{\ell,a}),\qquad R_{m,a}=\frac1m\sum_{\ell=1}^m Y_{\ell,a}.\] The comparable-depth moment bound in Proposition 51 is uniform along this fixed arc. Minkowski’s inequality therefore gives \(\sup_{m,a}\|R_{m,a}\|_{L^q}\le C_q\) for each finite \(q\), after restricting to the corresponding sufficiently small depths. For fixed \(m\), the same proposition gives \(\mathbb E[Y_{\ell,a}Y_{k,a}]\to0\) when \(\ell\ne k\). Consequently \[ \limsup_{a\downarrow0}\|R_{m,a}\|_{L^2}^2 \le \frac{C_2^2}{m}. \tag{100}\] For each \(m\), choose a positive depth \(a_m\) small enough that this squared norm is at most \((C_2^2+1)/m\) and all disk diameters meet the prescribed bound. Then \(R_m=R_{m,a_m}\) tends to zero in \(L^2\). For \(p>2\), interpolate this convergence with the uniform \(L^q\) bound for any \(q>p\); for \(p\le2\), use monotonicity. This proves the assertion. The order in (100) is depth first at fixed \(m\), then \(m\to\infty\). ◻ For \(j\ge1\), define the moment distribution \(T_j=\mathbb EH^{\otimes j}\) on \(D^j\), and set \(T_0=1\). This definition is legitimate for general smooth tests on the product, not just tensor tests. For example, after localizing in a square torus, expand a product-space test in its Fourier series. Its coefficients decay faster than any power, while Hölder’s inequality and (96) bound the expected absolute product of any \(j\) Fourier coefficients uniformly. The resulting series is absolutely convergent and defines a continuous distribution. For tensor tests it gives precisely \[T_j(f_1\otimes\cdots\otimes f_j) =\mathbb E\prod_{i=1}^j H(f_i).\] This construction agrees with taking the expectation of the tensor power of the random distribution by (97). For \(j\ge2\), we will determine \(T_j\) from \(T_{j-2}\) by its behavior in one variable. The next steps establish harmonicity away from coincident points, rule out additional distributions supported at coincidences, and identify each logarithmic collision coefficient. Together with the zero boundary value, these properties will give the Gaussian moment recursion by subtraction of Dirichlet Green functions. Proposition 55 (Harmonic moments). Let \[\mathcal C_j=\{(z_1,\ldots,z_j)\in D^j: z_i\ne z_k\text{ for }i\ne k\}.\] On \(\mathcal C_j\), \(T_j\) is a smooth function and is harmonic in each variable separately. Proof. We prove the first-variable distributional Laplace identity in a small product neighborhood of any distinct tuple; symmetry then gives all the identities. Translate the first center to the origin. Choose \(R>0\) so that \(B(0,4R)\Subset D\) and all the other centers lie outside \(\overline{B(0,4R)}\). Choose \(0<b<R/1000\) and \(0<\eta<R/(1000j)\). Fix the finite regular grid supplied by Lemma 41 for \(z_0=0\), \(\rho=R\), and \(q=j-1\). Its choice is independent of the small spectator disks and chains constructed below. Take \(\varphi\) supported in \(B(0,b)\), and take each spectator test \(f_i\), \(2\le i\le j\), in a sufficiently small neighborhood of its center, of diameter less than \(\eta/4\). We will show \[ \mathbb E\left[H(\Delta\varphi)\prod_{i=2}^j H(f_i)\right]=0. \tag{101}\] For \(j=1\) this follows from the zero mean; suppose \(j\ge2\). Write \(c_i=\int f_i\), and choose a unit bump \(\rho_i\) in that spectator neighborhood. Take a reference \(R_{m,a}\) from the preceding lemma, at a fixed positive depth small enough that all its disks have diameter less than \(\eta/4\) and lie outside \(\overline{B(0,4R)}\). This is possible because that closed ball is a compact subset of \(D\), whereas the reference disks can be placed arbitrarily near the boundary. Every center can be joined to each reference center by a finite path in \(D\setminus\overline{B(0,R)}\). To verify this last geometric point, start with a polygonal path in the connected open set \(D\). Whenever it enters the protected disk, replace that portion by an arc in \(B(0,2R)\setminus\overline{B(0,R)}\); this annulus lies in \(D\). A small perturbation and a finite subdivision give a path with compact image and positive clearance from both the protected disk and the boundary. Along each such path choose a finite chain of smooth unit bumps, beginning with \(\rho_i\) and ending with \(\psi_{\ell,a}\). Make the step lengths and bump radii so small that the union of two consecutive supports is contained in a disk of radius less than \(\eta\), disjoint from \(\overline{B(0,R)}\). If necessary interpolate their radii in finitely many steps near the endpoints. Telescoping yields \[H(f_i)-c_iH(\psi_{\ell,a}) =H(f_i-c_i\rho_i) +c_i\sum_{\text{chain}}H(\rho_{\mathrm{old}}-\rho_{\mathrm{new}}).\] Every summand on the right is a zero-total test in one of these small disks. Averaging this equality over \(\ell\) expresses \(H(f_i)-c_iR_{m,a}\) as a finite linear combination of such observations. Expand the product of these \(j-1\) finite sums. Each monomial selects at most \(j-1\) spectator disks, whatever the number or length of the chains. The insertion support lies in \(B(0,R/1000)\), and every selected disk is outside \(B(0,R)\) with radius less than \(R/(1000j)\). These are precisely the hypotheses for the grid already fixed from Lemma 41. For each monomial its two selected levels give the oblique separation of the middle-strip boundary pieces and spectators needed by Proposition 44. The pair of levels may depend on the monomial; the grid does not. There are only finitely many monomials. Choose the exceptional windows small enough to preserve all their positive margins. Lemma 53 gives zero expectation for each monomial with the insertion. Summing these exact identities gives \[ \mathbb E\left[H(\Delta\varphi) \prod_{i=2}^j\bigl(H(f_i)-c_iR_{m,a}\bigr)\right]=0. \tag{102}\] All disks, chains, tests and grid levels used to obtain this equality are finite and fixed before using the limiting insertion identity. It remains to remove the reference. This error is estimated before the chain expansion. The algebraic difference between the product in (102) and \(\prod_iH(f_i)\) is a sum of \(j-1\) terms, each containing one factor \(c_iR_{m,a}\) and other factors of the form \(H(f_k)\) or \(H(f_k)-c_kR_{m,a}\). Hölder’s inequality and the uniform moment bounds give, for some finite \(p\) depending only on \(j\), \[\left|\mathbb EH(\Delta\varphi) \left\{\prod_{i=2}^jH(f_i) -\prod_{i=2}^j(H(f_i)-c_iR_{m,a})\right\}\right| \le C\|R_{m,a}\|_{L^p}.\] The constant does not count chain terms. Choose depths and then \(m\) as in Lemma 54; the right side tends to zero. This proves (101). Finite sums of tensor tests are dense in the test-function space on each such product neighborhood, for example by a localized Fourier expansion with convergence of every derivative. Consequently \(\Delta_{z_1}T_j=0\) there as a distribution. Symmetry gives all \(j\) separate Laplace equations. Their sum is the ordinary elliptic Laplacian on \(\mathbb R^{2j}\); the local regularity theorem for harmonic distributions makes \(T_j\) smooth there. The separate distributional equations then hold pointwise. ◻ Lemma 56 (No distributions supported on collisions). On every compact subset of \(D^j\), the off-diagonal function from Proposition 55 is locally integrable and represents all of \(T_j\). For \(j\ge2\), if \(d(\mathbf z)=\min_{i<k}|z_i-z_k|\), then, locally away from the boundary, \[ |T_j(\mathbf z)| \le C\bigl(1+\log_+(1/d(\mathbf z))\bigr)^{j/2}, \qquad \mathbf z\in\mathcal C_j. \tag{103}\] Moreover, for distinct fixed \(z_2,\ldots,z_j\in D\), \[ T_j(z_1,z_2,\ldots,z_j)\longrightarrow0 \quad\text{as }z_1\longrightarrow p\in\partial D. \tag{104}\] Proof. Let \(T_{j,h}\) be the convolution of \(T_j\) with a product of \(j\) radial unit bumps of common radius \(h\), considered on a fixed interior compact and with \(h\) small enough to remain in \(D\). By Hölder’s inequality and (98), \[ |T_{j,h}(\mathbf z)| =\left|\mathbb E\prod_{i=1}^jH(\rho_{z_i,h})\right| \le C(1+\log(1/h))^{j/2}, \tag{105}\] including at coincident centers. Whenever \(d(\mathbf z)>2h\), the product of bump supports is off the diagonals. The radial mean value property, successively in each harmonic variable, gives \(T_{j,h}(\mathbf z)=T_j(\mathbf z)\). Taking \(h\) to be the smaller of \(d(\mathbf z)/4\) and a fixed interior radius proves (103). For completeness, a collision tube \[A_h=\{\mathbf z:d(\mathbf z)\le2h\}\] in a fixed compact set has volume at most \(C_jh^2\): use the union bound over pairs, fix all but one point in a selected pair, and integrate that point over a disk of radius \(2h\). The same bound at every radius \(s\), followed by integration of the distribution function, gives for \(q\ge0\) \[\int_{A_h}\bigl(1+\log_+(1/d(\mathbf z))\bigr)^q\,\mathrm d\mathbf z \le C_qh^2(1+\log(1/h))^q.\] Indeed for \(q>0\), integrate \(q(1+\log(1/s))^{q-1}\,\mathrm ds/s\) against the bound \(Cs^2\); the endpoint term is \(Ch^2(1+\log(1/h))^q\). This proves local integrability. It also shows that the off-diagonal function has vanishing \(L^1\) mass on \(A_h\). Equation (105) gives the same assertion for \(T_{j,h}\), since \(h^2(1+\log(1/h))^{j/2}\to0\). Off \(A_h\) the two functions agree exactly. Thus \(T_{j,h}\) converges locally in \(L^1\) to the off-diagonal function. But convolution also converges to \(T_j\) in distributions. These limits are equal. In particular neither a delta distribution nor any of its derivatives on a collision diagonal can be present. The case \(j=1\) has no collision set and follows directly from harmonicity. To prove (104), choose disjoint small fixed radial averaging disks around \(z_2,\ldots,z_j\). For \(z_1\) near \(p\), choose its averaging radius to be \(\theta\mathop{\mathrm{dist}}(z_1,\partial D)\). The supports are pairwise separated. The harmonic mean value property in every variable identifies the displayed pointwise value with \[\mathbb E\left[H(\rho_{z_1,\theta\mathop{\mathrm{dist}}(z_1,\partial D)}) \prod_{i=2}^jH(\rho_{z_i,s_i})\right].\] Proposition 51 makes this tend to zero. For \(j=1\) the same conclusion also follows from the zero mean. ◻ The logarithmic collision coefficientLemma 57 (Punctured harmonic expansion). Let \(j\ge2\). Fix a collision point \(y\in D\) and distinct spectators \(\mathbf z=(z_3,\ldots,z_j)\), all separated from \(y\). For \(x\) in a sufficiently small punctured disk about \(y\), \[ T_j(x,y,\mathbf z) =L(y,\mathbf z)\log(1/|x-y|) +R(x;y,\mathbf z), \tag{106}\] where \(R\) extends harmonically across \(x=y\). The coefficient \(L\) is smooth in the separated parameters \((y,\mathbf z)\), and the first-variable derivatives of \(R\) are bounded uniformly on smaller disks and compact sets of these parameters. The coefficient \(L\) is separately harmonic in each spectator variable. Proof. For fixed parameters, the angular Fourier coefficients of a harmonic function in a punctured disk have the forms \(a_0+b_0\log r\) and \(a_nr^n+b_nr^{-n}\), \(n\ge1\), for the sine and cosine modes. Equation (103) bounds the function by a power of \(1+\log(1/r)\). Multiplying its \(n\)-th Fourier coefficient by \(r^n\) and sending \(r\downarrow0\) therefore shows \(b_n=0\) for every \(n\ge1\). After subtracting the logarithmic term, the remaining nonnegative modes are the harmonic extension of their values on any fixed smaller circle, and hence extend across the center. On a circle of radius \(s>0\) enclosing no other spectator, the coefficient is the flux \[ L(y,\mathbf z) =-\frac1{2\pi} \int_{|x-y|=s}\partial_{n_x}T_j(x,y,\mathbf z)\,\mathrm d\ell(x). \tag{107}\] One can keep \(s\) fixed on a neighborhood of any separated parameter tuple. Parameterizing \(x=y+se^{i\theta}\), the integrand is smooth by Proposition 55; thus \(L\) is smooth. Applying a spectator Laplacian under this integral also proves its separate harmonicity. Subtract \(L\log(1/|x-y|)\) on that circle. Its values are smooth and uniformly bounded on compact parameter sets. The Poisson formula for their harmonic extension, differentiated in \(x\) on a smaller disk, yields the claimed uniform derivative bounds for \(R\). ◻ Proposition 58 (Collision coefficient). In (106), \[ L(y,\mathbf z)=\frac{v}{2\pi}T_{j-2}(\mathbf z). \tag{108}\] The convention \(T_0=1\) applies when \(j=2\). Proof. Choose two real smooth signed tests \(\alpha,\beta\) with zero integral, supported in disjoint disks, such that \[I=\iint\alpha(u)\log(1/|u-w|)\beta(w)\,\mathrm du\,\mathrm dw\ne0.\] Such tests can be obtained by taking horizontal derivatives of unit mollifiers concentrated about two distinct points on a horizontal line. As their radii tend to zero, integration by parts makes the displayed integral tend to the mixed horizontal derivative of the logarithmic kernel at these two points, which is nonzero. Fix one such pair. For a fixed point \(y_0\), define \[\alpha_r(x)=r^{-2}\alpha((x-y_0)/r),\qquad \beta_r(x)=r^{-2}\beta((x-y_0)/r).\] Let \(F=\prod_{i=3}^jH(\rho_{z_i,s_i})\), where the spectator disks are fixed, small, pairwise disjoint and separated from a fixed closed disk \(\overline{B(y_0,R_0)}\Subset D\). An empty product is one. We first prove \[ \lim_{r\downarrow0} \mathbb E[H(\alpha_r)H(\beta_r)F] =\frac{v}{2\pi}I\,T_{j-2}(\mathbf z). \tag{109}\] We will evaluate this limit in two ways. A plane copy independent of the spectators gives the right side of (109); the punctured harmonic expansion will give \(I L(y_0,\mathbf z)\). Their equality determines \(L\). For the first evaluation, the plane copy must be independent of the exterior record that determines the absolute spectator heights. Fix \(r>0\) small enough that both inner supports lie in \(B(y_0,Cr)\) and \(\sqrt r<R_0/4\), and return to the finite mesh along the subsequence defining \(H\). Use the ambient pair representation of the true law, with both colors plus on the connected boundary skeleton and height anchored to zero at one of its sites. As in Lemma 33, this gives the required interior height law. Retain the complementary-spin boundary constraint first as edge equalities on this connected set. Conditional on the first spins and cell statuses, prescribing its single plus component label has probability exactly \(1/2\). It therefore creates no additional bias in a first-color circuit search. Search from outside for a good first-color circuit in separated annular slots between scales \(\sqrt r\) and \(R_0/2\). Lemma 10 gives failure probability at most \(Cr^{\kappa_1}\) in the mesh-first limsup, for some \(\kappa_1>0\). The exploration always queries a cell status together with all its first-color sites, using the stopped kernels of Proposition 11. Let \(\mathcal G_\delta\) contain the stopped query record (including its success or failure outcome), the selected cut and its first-color data when it exists, and the genuinely exterior pair data needed below. Do not reveal complementary-spin values at strictly inside boundary-layer sites merely because their first-color values were queried. We verify both the measurability and the conditional law at this stage. Each spectator disk can be joined to the zero-height anchor by paths outside \(B(y_0,R_0)\). One may choose paths in the ambient triangulation, outside the search disk, to the anchored skeleton. Their sums of the local increments from Lemma 3 give the absolute spectator heights, with the correct common lift fixed at the anchor. Alternatively, portions of paths in \(D\setminus\overline{B(y_0,R_0)}\) can detour around the interior disk and then reach the boundary layer; their fixed compact portions occur in every sufficiently fine approximation. The ambient construction requires no microscopic regularity of that last approach to the skeleton. Include all these exterior paths and the pair data on the spectator disks in \(\mathcal G_\delta\). Thus the entire discrete spectator product \(F_\delta\) is \(\mathcal G_\delta\)-measurable, as an absolute-height observation, not merely a spin observation. Every crossing cell of the selected contour is open with prescribed first color. Its factor is constant and leaves the complementary spin unrestricted. No imposed equality edge crosses the contour. By Lemma 4, closed-cell complementary components on its two sides are disconnected. Hence revealing exterior labels reveals no strictly interior component label. The stopped query convention likewise fixes no further strictly interior first-color variables. Conditional on \(\mathcal G_\delta\), the unexamined interior is exactly the open-cut law with no inner pins or equalities. Its height lift may have an exterior-dependent additive constant; both local tests have exactly zero total and discard that constant. The cut surrounds a ball of radius comparable to \(\sqrt r\). The retained-law and exterior-measurability verifications above allow us to apply Corollary 12. It couples the increments in \(B(y_0,Cr)\), with its connecting paths, to the fixed plane increment marginal \(\nu_\delta\) with error \(C(r/\sqrt r)^{\kappa_2}\), uniformly in each successful exterior record. For every such record choose a coupling kernel whose second marginal is this same \(\nu_\delta\). On failed searches choose an independent variable with marginal \(\nu_\delta\). These are ordinary conditional couplings on finite discrete spaces; the finite ambient volume may subsequently be exhausted using the same local comparison. In particular the resulting plane variable \(P_\delta\) satisfies \[\mathbb P(P_\delta\in A\mid\mathcal G_\delta)=\nu_\delta(A)\] for every measurable event \(A\), also on failure. This identity proves genuine independence of \(P_\delta\) from \(\mathcal G_\delta\), and therefore from \(F_\delta\). It is stronger than specifying just its unconditional marginal. Write \(U_\delta=h_\delta(\alpha_r)\), \(V_\delta=h_\delta(\beta_r)\), and let \(U'_\delta,V'_\delta\) be the corresponding statistics of this plane copy. Matching increments in a connected disk implies equality of both statistics because their area weights have exact total zero. If \(E_\delta\) is the union of search failure and coupling mismatch, then for some \(\kappa>0\) \[\limsup_{\delta\downarrow0}\mathbb P(E_\delta)\le Cr^\kappa.\] Cauchy–Schwarz and equality off \(E_\delta\) give \[\begin{align*} &\left|\mathbb E[(U_\delta V_\delta-U'_\delta V'_\delta)F_\delta]\right| \\ &\quad\le \mathbb P(E_\delta)^{1/2} \left(\|U_\delta V_\delta F_\delta\|_{L^2} +\|U'_\delta V'_\delta F_\delta\|_{L^2}\right). \tag{110}\end{align*}\] Applying Hölder inside each norm at an order at least \(2j\), (98) bounds the first norm by \(C(1+\log(1/r))\). All fixed spectator norms are bounded. The plane zero-total moment bound in Proposition 22 bounds the second norm uniformly. Thus the mesh limsup of (110) is at most \[Cr^{\kappa/2}(1+\log(1/r)),\] which tends to zero. For each fixed \(r\), first let the mesh tend to zero. Moment convergence treats the true field and the spectators, whereas independence factors the plane term as \(\mathbb E[U'_\delta V'_\delta]\mathbb E[F_\delta]\). Proposition 24 evaluates its first factor: \[\lim_{\delta\downarrow0}\mathbb E[U'_\delta V'_\delta] =\frac{v}{2\pi} \iint\alpha_r(x)\log(1/|x-y|)\beta_r(y)\,\mathrm dx\,\mathrm dy =\frac{v}{2\pi}I.\] The last equality uses exact zero totals to cancel the dilation constant. Separate harmonicity and radial mean value give \(\mathbb EF=T_{j-2}(\mathbf z)\). Only now let \(r\downarrow0\); the preceding error bound proves (109). We read the same limit from (106). First average its spectator variables on their radial disks. Their harmonic mean value property, including that for \(L\) from Lemma 57, evaluates them at \(\mathbf z\). After substituting \(x=y_0+ru\), \(y=y_0+rw\), the singular term is \[\iint\alpha(u)\beta(w)L(y_0+rw,\mathbf z) \{\log(1/r)+\log(1/|u-w|)\}\,\mathrm du\,\mathrm dw .\] For every fixed \(w\), the term containing \(\log(1/r)\) is zero because \(\int\alpha=0\). This cancellation is exact even though \(L\) varies with the second colliding variable. The remaining kernel is bounded on the two disjoint supports; smoothness of \(L\) makes the remaining integral tend to \(I L(y_0,\mathbf z)\). For the regular term, subtract \(R(y_0;y_0+rw,\mathbf z)\) before integrating against \(\alpha(u)\). The uniform first-variable derivative bound from Lemma 57 bounds its contribution by \(Cr\). The left side of (109) therefore tends to \(I L(y_0,\mathbf z)\). Since \(I\ne0\), comparison proves (108). ◻ Wick recursion and convergence of the full lawThe remaining identification uses harmonicity, prescribed collision singularities, and the boundary condition. Related collision arguments identify dimer-height moments in (Kenyon 2001, sec. 3) and six-vertex moments in (Duminil-Copin et al. 2026, sec. 7.2). Here Proposition 58 gives the logarithmic coefficient from a plane copy independent of the absolute-height spectators, and Lemma 56 supplies the boundary value and excludes additional distributions on collisions. Theorem 59 (Moment identification and the full field law). For every \(j\ge2\) and distinct \(x,y_2,\ldots,y_j\in D\), \[ T_j(x,y_2,\ldots,y_j) =v\sum_{i=2}^j G_D(x,y_i)\, T_{j-2}(y_2,\ldots,\widehat{y_i},\ldots,y_j). \tag{111}\] Together with \(T_0=1\) and \(T_1=0\), this identifies every moment distribution with that of \(\sqrt v\,\Phi_D\). Every subsequential field limit has that law. Consequently \(h_\delta/\sqrt v\) converges to \(\Phi_D\) as a random distribution, with joint convergence of every finite collection of smooth compactly supported pairings. Proof. Fix the distinct \(y_i\)’s and subtract the right side of (111) from its left side as a function of \(x\). It is harmonic outside these finitely many points. The Dirichlet Green function for the negative Euclidean Laplacian has local singularity \[\frac1{2\pi}\log(1/|x-y_i|).\] Proposition 58 shows that its coefficient agrees with the logarithmic singularity of \(T_j\) at each point. Lemma 57 therefore makes the difference removable there. It is harmonic on all of \(D\). Equation (104) gives zero limit at every boundary point, as does the Dirichlet Green function on a \(C^2\) Jordan domain. Thus the difference extends continuously by zero to the boundary. The maximum principle, applied to it and to its negative, makes it identically zero. This proves (111). The base \(T_1=0\) follows from the exact height-reflection symmetry and uniform integrability. Induction gives zero for odd moments and, for even \(j\), the sum over pairings of the products of \(vG_D\). Lemma 56 says that these are identities of the entire moment distributions, including tests crossing diagonals. The Green products are locally integrable; in each pairing their variables occur in disjoint pairs, and the logarithmic singularity is integrable in two dimensions. It follows that for every real \(f\in C_c^\infty(D)\), \(H(f)\) has exactly the centered Gaussian moments with variance \[v\iint_{D\times D}f(z)G_D(z,w)f(w)\,\mathrm dz\,\mathrm dw.\] These moments determine its law. One direct justification avoids assuming an exponential moment in advance: the nonnegative series for \(\cosh(tH(f))\), monotone convergence, and the known even moments give \(\mathbb E\cosh(tH(f))=\exp(t^2\mathop{\mathrm{Var}}(H(f))/2)\) for every real \(t\). Since \(e^{|tH(f)|}\le2\cosh(tH(f))\), the exponential moment is finite. The absolutely integrable power series for its characteristic function then yields the Gaussian characteristic function. This also covers zero variance. Apply this conclusion to \(f=\sum_{\ell=1}^k a_\ell f_\ell\), for every real vector \((a_1,\ldots,a_k)\). All these real linear combinations are Gaussian with the stated covariance form. Their characteristic functions identify the joint vector \((H(f_1),\ldots,H(f_k))\) with that of \(\sqrt v\,\Phi_D\). Finally choose a countable dense family of smooth tests on an interior exhaustion of \(D\). Evaluation on these tests determines a distribution and generates the Borel sigma-field of the local Sobolev spaces used in Proposition 52; this follows, for example, from their realization by countably many localized Fourier coordinates. Hence equality of the finite-dimensional laws on this family determines the random-distribution law. We chose the original subsequence arbitrarily, so every limit allowed by tightness has the same law. Tightness and uniqueness give convergence of the full sequence, for each \(t>1\) in \(H^{-t}_{\mathrm{loc}}(D)\), and therefore as distributions. Continuity of test evaluation gives the claimed simultaneous test limits, and Proposition 52 also gives their mixed-moment convergence. The normalization is \(\sigma(x)=\sqrt v\). Its strict positivity, finiteness, and independence of \(D\) and the approximation were proved in Proposition 24. All estimates here are for fixed \(x\) in the stated closed interval, so the endpoint is included with no additional limiting argument in the parameter. This completes the proof of Theorem 2. ◻ Scalar spectral measuresThe spectral arguments in Sections 4 and 5 use scalar covariance measures and bounded analytic matrix elements. We construct these objects directly. Inner products in this appendix are conjugate linear in the first variable. Haar measure on a torus is normalized to have mass one. Lemma 60 (Commuting translations). Let \(V_1,\ldots,V_d\) be commuting unitaries on a complex Hilbert space. For vectors \(a,b\) there is a unique finite complex measure \(\mu_{a,b}\) on the \(d\)-torus such that \[\int e^{i\mathbf n\cdot\theta}\,\mu_{a,b}(\,\mathrm d\theta) =\langle a,V_1^{n_1}\cdots V_d^{n_d}b\rangle \qquad(\mathbf n\in\mathbb Z^d).\] The measure \(\mu_{a,a}\) is positive, has mass \(\|a\|^2\), and \(\|\mu_{a,b}\|_{\mathrm{TV}}\le\|a\|\|b\|\). For Laurent polynomials \(P,Q\), \[\mu_{P(V)a,Q(V)b} =\overline{P(e^{i\theta})}Q(e^{i\theta})\mu_{a,b}.\] If \(P_0\) is the orthogonal projection onto the common invariant subspace, then \(\mu_{a,b}(\{0\})=\langle P_0a,P_0b\rangle\). Proof. For a vector \(a\) and an integer \(N\ge1\), consider the nonnegative density \[K_{N,a}(\theta)=N^{-d} \left\|\sum_{0\le n_1,\ldots,n_d<N} e^{-i\mathbf n\cdot\theta}V_1^{n_1}\cdots V_d^{n_d}a\right\|^2.\] Its mass is \(\|a\|^2\). Its Fourier moment at \(\mathbf m\) is \[\prod_{r=1}^d(1-|m_r|/N)_+ \langle a,V_1^{m_1}\cdots V_d^{m_d}a\rangle.\] Compactness of finite measures on the torus gives a subsequential limit with the asserted moments. Trigonometric polynomials are uniformly dense in continuous functions, so those moments determine the limit uniquely. This constructs \(\mu_{a,a}\) without an operator-valued measure. Polarization constructs \(\mu_{a,b}\) and gives its stated moments. For every Borel set \(A\) and any finite list of vectors, the matrix \([\mu_{a_r,a_s}(A)]_{r,s}\) is positive semidefinite: its quadratic forms are the positive measures of their linear combinations. Thus \(|\mu_{a,b}(A)|^2\le\mu_{a,a}(A)\mu_{b,b}(A)\). Apply Cauchy–Schwarz to a finite measurable partition and take the supremum over such partitions to obtain the total-variation bound. The covariance identity for Laurent polynomials follows by checking each Fourier moment, then using uniqueness. Set \[A_N=\prod_{r=1}^d\left(N^{-1}\sum_{k=0}^{N-1}V_r^k\right).\] These contractions act identically on common invariant vectors. On a vector of the form \((I-V_r)b\), telescoping gives \(\|A_N(I-V_r)b\|\le2\|b\|/N\). The orthogonal complement of the common invariant subspace is the closed span of these ranges: a vector orthogonal to every range is fixed by every \(V_r^*\) and hence by every \(V_r\). Consequently \(A_N\) converges strongly to \(P_0\). The polynomial covariance identity gives \[\|A_Na\|^2 =\int\prod_{r=1}^d\left|N^{-1}\sum_{k=0}^{N-1}e^{ik\theta_r}\right|^2 \mu_{a,a}(\,\mathrm d\theta).\] The integrand is bounded by one and converges to the indicator of the origin. Dominated convergence identifies its limit with \(\mu_{a,a}(\{0\})=\|P_0a\|^2\). Polarization proves the cross identity. ◻ Lemma 61 (A unitary and a positive contraction). Let \(U\) be unitary and \(S\) a positive self-adjoint contraction, with \(US=SU\). For vectors \(a,b\) there is a unique finite complex measure \(\gamma_{a,b}\) on the circle times \([0,1]\) satisfying \[\int e^{im\theta}\lambda^j\,\gamma_{a,b}(\,\mathrm d\theta,\,\mathrm d\lambda) =\langle a,U^mS^jb\rangle \qquad(m\in\mathbb Z,\ j\ge0).\] The diagonal measures are positive, both endpoint atoms are retained, and \(\|\gamma_{a,b}\|_{\mathrm{TV}}\le\|a\|\|b\|\). Proof. For \(0\le k\le N\) put \[B_{N,k}=\binom Nk S^k(I-S)^{N-k}.\] These operators are positive and sum to the identity. To check positivity without measurable functional calculus, first note that \(S\) and \(I-S\) are positive contractions. The scalar binomial series for \(\sqrt{1-t}\) has absolutely summable coefficients on \(|t|\le1\). It therefore gives norm-convergent self-adjoint square roots of \(S\) and \(I-S\), by substituting \(I-S\) and \(S\), respectively. They commute, being limits of polynomials in \(S\). Their suitable powers exhibit each \(B_{N,k}\) as a square of a self-adjoint operator. The binomial theorem gives \(\sum_k B_{N,k}=I\). The same square-root series applies to \(B_{N,k}/\|B_{N,k}\|\) when this operator is nonzero. It gives \(B_{N,k}^{1/2}\), which commutes with \(U\) because all its approximating polynomials do. The zero operator has square root zero. For each \(k\) apply the one-dimensional positive kernels in the proof of Lemma 60 to \(B_{N,k}^{1/2}a\), using \(U\) and the same integer \(N\). Place the resulting circle measure at \(\lambda=k/N\) and sum over \(k\). The obtained positive measure has mass \(\|a\|^2\), and its \((m,j)\) moment is \[(1-|m|/N)_+ \left\langle a,U^m\sum_{k=0}^N(k/N)^jB_{N,k}a\right\rangle.\] For every fixed \(j\) the operator sum converges in norm to \(S^j\). Indeed express \(k^j\) as a fixed linear combination of falling factorials \((k)_r\); the binomial identity \(\sum_k(k)_rB_{N,k}=(N)_rS^r\) shows that the coefficient of \(S^j\) tends to one and all lower coefficients tend to zero. Compact extraction now yields the desired positive diagonal measure. Products of trigonometric polynomials in \(\theta\) and ordinary polynomials in \(\lambda\) approximate continuous functions uniformly, so the moments uniquely determine it. Polarization and the positive-matrix argument from Lemma 60 give the cross measures and their total-variation bounds. The construction takes place on the compact interval \([0,1]\); neither endpoint is removed. ◻ Corollary 62 (Bounded analytic matrix elements). For the positive contraction \(S\) above and vectors \(a,b\), there is a bounded holomorphic function \(F_{a,b}\) on \(\Re w>0\) such that \[F_{a,b}(j)=\langle a,S^jb\rangle\quad(j=1,2,\ldots), \qquad |F_{a,b}(w)|\le\|a\|\|b\|.\] It is obtained by integrating \(\lambda^w\) against the \([0,1]\) marginal of \(\gamma_{a,b}\), with value zero at \(\lambda=0\). Proof. Take \(U=I\) in Lemma 61 if no tangential operator is present. For \(\lambda>0\) put \(\lambda^w=\exp(w\log\lambda)\) and set it equal to zero at zero. When \(\Re w>0\) its absolute value is at most one, giving the bound and the positive-integer identities. On each closed smaller half-plane \(\Re w\ge\eta>0\), every \(\lambda^\eta|\log\lambda|^r\) is bounded for integer \(r\ge0\). Dominated differentiation against the finite cross measure proves holomorphy. No value or continuity at exponent zero is asserted. ◻ The weighted annulus estimateTheorem 5 follows from a mixed-cylinder crossing estimate and the renormalization argument of (Glazman and Lammers 2025, Appendix A). We prove the required seed estimate using both signs of the first-spin crossing and both orientations of the cell lattice. A winding construction converts a seed of either orientation to the one required by the cylinder convention. Cuts and comparisons on a cylinderWrite \(Y\) and \(Z\) for the two classes of elementary triangle centers, with \(Y\) the class used in Section 2, and put \(q=x^2\). An occupation of class \(T\in\{Y,Z\}\) uses the cell table (9) on triangles of that class. For a periodic rows-cylinder of height \(H\), let \(P_T\) denote its mixed law: \(B=+\) on its top face layer, \(B=-\) on its bottom face layer, \(W\) free, with factors \(q\) on changing interior \(T\) cells and no factors on boundary \(T\) cells. Thus the class specifies the boundary convention as well as the augmentation. All contours and test regions below have positive clearance; lattice rounding changes their positions by \(O(1)\). Lemma 63 (Ambient extension). Take a finite triangulation of the sphere containing a periodic triangular lattice cylinder. Choose any edge-disjoint family of elementary triangles in that cylinder, make each a cell of parameter \(q=x^2\), and make each remaining edge a cell of parameter \(x\), or of parameter \(1\) on a specified set of edges. Use coherent spin pairs and the cell table (9). Proposition 6 holds for this law, including deterministic \(W\)-equality edges and its stated first-spin histories. The selected triangles may have either orientation. A simple authorized winding contour in the cylindrical portion, with no \(W\)-equality edge crossing it, has the cut property of Lemma 4. In particular, prescribing a lower open-minus and an upper open-plus contour of class \(T\) realizes \(P_T\) between those contours, when they bound the rows-cylinder. Proof. Cap a longer periodic cylinder at each end by a triangulated disk; triangular fans suffice. Every mod-two cycle on this sphere is generated by triangular face boundaries. Consequently, for fixed \(B=b\), a possible \(W\) disagreement set satisfies the same triangle equations as in the proof of Proposition 6. On a mixed-\(b\) triangle its single homogeneous edge cannot belong to that set. Restricting to homogeneous-plus edges or to homogeneous-minus edges therefore separately preserves every triangle equation. Each restriction integrates to a spin configuration, and the wall factorization (12) holds, with its same factor \(1/2\). For an unobserved triangle cell, \(r_y(b)\) is \(1\) or \(x^2\) according as \(b\) is constant or mixed; for an edge cell it is \(1\) or that edge’s parameter. On an unobserved homogeneous cell the corresponding allowed wall-edge parameter is \(x\), or the specified single-edge parameter; on an observed open cell it is \(1\). Equality edges have parameter zero in the wall partition sums. The cell inequality for \(r_y\) and the intersection/union inequalities for the two allowed-edge vectors are unchanged. The Ising partition-sum inequality (11) thus proves the same two-law inequality. Restoring statuses uses only disjointness of the cells’ edge sets. This proves association and conditional order, including parameters \(1\). For the cut assertion, include among the selected triangles all cells responsible for authorizing the contour. Each crossing cell has its first spins prescribed and contributes a constant, exactly as in Lemma 4; the remaining factors separate. This proof is local and applies to a winding contour, which separates the capped sphere. The equality constraints do not cross the contour by hypothesis. Two such cuts isolate the law between them. The excluded boundary-cell factors are precisely the constants removed by the cuts. No extra winding constraint is imposed: an annular configuration satisfying the cut-layer pins extends coherently to either cap by taking the prescribed first spin constant there, and the exterior partition factors are independent of the interior second spins. ◻ In applications of Lemma 63, triangles of opposite orientations are selected only in separated regions. Unused augmentations are marginalized, and all remaining edges are single-edge cells. We do not assert joint association for overlapping \(Y\) and \(Z\) augmentations. Lemma 64 (One complementary-color cut). The comparison of Lemma 63 for \(B\) and signed \(B\) statuses remains valid with one prescribed open \(W\) winding contour of fixed sign, provided that its cells are disjoint from the selected \(B\) cells. Histories still observe no other \(W\) labels. Proof. An open \(W\) triangle with prescribed sign contributes the constant \(q\) for every assignment of its \(B\) spins. Represent its prescription by single-edge parameters \(1\) on its three edges and by \(W\) equality along those edges, then specify the common \(W\) label. The incident-site union of the contour cells is connected: consecutive cells along the contour share a site. Before that label is specified, global \(W\) flip pairs the two possible labels with equal weight, for every \(B\) and every permitted \(B\)-status history. Specifying its sign therefore multiplies each such marginal weight by \(1/2\). It does not change the order comparison. Apply Lemma 63 with these deterministic equality edges. ◻ Lemma 65 (Boundary slides). Let \(\mu_{a,b}\) be the law between a lower open-minus \(B\) contour \(a\) and an upper open-plus \(B\) contour \(b\). If the contours are ordered from bottom to top as \[a_1<a_0<\operatorname{supp}(A)<b_1<b_0,\] where \(A\) is an increasing \(B\) and signed-status event, then \[ \mu_{a_0,b_0}(A)\le \mu_{a_1,b_1}(A). \tag{112}\] Old and new contours may use different classes, with edge-disjoint cells. In particular, writing \(\tau_d A_T\) for the upward translate by \(d\) of an increasing class-\(T\) test, for \(S,T\in\{Y,Z\}\) we have \[ P_S(A_T)\le P_T(\tau_d A_T), \tag{113}\] whenever the downward-translated class-\(T\) boundary contours have the required clearance from the original class-\(S\) contours and the test. Above a fixed open \(W\) contour \(\gamma\), let \(\nu_{\gamma,b}\) denote the law with upper open-plus \(B\) contour \(b\). For \(\gamma<\operatorname{supp}(A)<b_0<b_1\), the reverse slide gives \[ \nu_{\gamma,b_1}(A)\le\nu_{\gamma,b_0}(A). \tag{114}\] Proof. Work on a common sufficiently long capped cylinder. Prescribe both \(a_0\) and \(a_1\). By the cut property, the law above \(a_0\) is unaffected by the additional prescription at \(a_1\). Releasing the old open-minus prescription at \(a_0\) increases the probability of \(A\), by Lemma 63. Next prescribe \(b_1\), which increases that probability, and discard the farther contour \(b_0\) by the cut property. This proves (112). Translate the new cylinder back up by \(d\) to obtain (113); the lattice translation preserves its class \(T\). For (114), prescribe both \(b_0\) and \(b_1\) and then release the nearer positive prescription at \(b_0\). This decreases the probability of \(A\), by Lemma 64. The distant prescription did not affect the original law below \(b_0\), by the cut property. All simultaneous prescriptions used here are feasible: one may take the complementary spin constant; when the fixed \(W\) contour is present, take that constant to be its prescribed sign. ◻ Lemma 66 (Exterior search for a winding cut). In a cylindrical band, search from below for an authorized winding contour of a specified class, color, and sign. The search can be arranged so that, conditional on each successful complete record, the law above the selected contour is the corresponding cut law. Existence of a winding with fixed clearance inside the search band implies success. Proof. Use the face-invasion construction after Lemma 9. Start from the lower face layer and invade across unauthorized honeycomb edges, querying a responsible cell together with all its spins of the searched color. Restrict queries to the search band; declare failure if the invasion reaches its upper edge. An authorized winding with clearance prevents that failure. The boundary against the uninvaded component toward the upper end contains a separating authorized winding contour. Retain such a simple contour, discarding contractible boundary components. Trivalence prevents a four-edge crossing at a boundary vertex. Every queried cell touches the invaded face set. If it is not favorable, all its incident edges are unauthorized and the invasion reaches all its incident faces. Thus a queried cell meeting the retained side must be a favorable contour cell. The only first spins revealed there are the prescribed cut-layer spins; complementary-spin labels are never queried. The record’s remaining restrictions lie below the contour. The product factorization of Lemma 63, with the colors interchanged when necessary, now identifies the conditional law above it. We condition on the actual successful search record, not on an additional event in the retained region. A bounded enlargement of the band accommodates conversion between triangular-cell windings and honeycomb contours. ◻ Lemma 67 (Signed band alternative). In a cylindrical band augmented in either class \(T\), at least one of the following events occurs: a vertical occupied \(B+\) crossing, a vertical occupied \(B-\) crossing, an occupied \(W+\) winding, or an occupied \(W-\) winding. Each alternative yields one of a fixed finite family of local horizontal or vertical crossing tests when the band width and circumference are fixed multiples of its height. The number of tests is independent of the lattice scale. Proof. Couple the two color occupations using opposite tests on each uniform, as in Definition 3.5 of (Glazman and Lammers 2025). Since \(q\ge1/2\), every cell belongs to at least one occupation. If there is no vertical \(B\)-occupied path, triangular-site path/circuit duality on the cylinder gives a winding of cells outside \(B\) occupation, hence inside \(W\) occupation. Adjacent occupied cells of a given color share a site, so their spin signs agree. Both a vertical path and a winding therefore have one constant sign, proving the four-way alternative. For the last assertion, lift a path to the flat strip cover and let \(m\) be the band height. If a vertical path’s horizontal extent is at most \(5m\), one of finitely many width-\(6m\) windows contains it. Otherwise it has a horizontal subcrossing of width greater than \(4m\). A winding also has such a horizontal subcrossing. Choose horizontal centers on a net of spacing at most \(m/4\) and leave fixed slack for lattice rounding. Taking subpaths yields the local crossing tests. Their number depends only on the fixed circumference-to-height ratio. The duality argument is unchanged by bounded adjustments of the band edges. ◻ Crossing inputs used before the seedFor a rectangle \(R\) contained in the cylindrical part of the ambient sphere, write \(\mathsf H_T^+(R)\) and \(\mathsf V_T^+(R)\) for horizontal and vertical crossings by occupied \(B\)-plus cells of class \(T\). The paths and their endpoints are vertices of the induced triangular cell graph. They are not required to reach prescribed honeycomb contour edges. The honeycomb interpolation described after (9) will be used only after a site connection has been obtained. We use two crossing results from the proof of the weighted RSW estimate in (Glazman and Lammers 2025, Appendix A, pp. 46–47). Their proofs use local comparison, site duality, and association; they precede the seed estimate (58) in their dependency order. In the notation \(\mathrm{Cyl}_{M,N}\) of that source, the RSW estimate is \[ P_T\bigl(\mathsf H_T^+([-2r,2r]\times[k,k+r])\bigr) \geq \psi\!\left(P_T\bigl(\mathsf V_T^+([-3r,3r]\times[k,k+r])\bigr)\right), \tag{115}\] where \(r+k\leq N\), \(2r<M\), and a positive lower bound for the argument gives a positive lower bound for the right side. This is equation (56) of (Glazman and Lammers 2025). All rectangles used below are embedded, with their horizontal length strictly less than the circumference. The second input is horizontal lengthening: positive-probability occupied crossings of rectangles of width four times their height can be joined in overlapping rectangles to produce a crossing of any fixed larger aspect ratio that fits in an embedded rectangle. The constant may depend on that aspect ratio. The proof joins the uppermost crossing in a left parallelogram to the lowermost crossing in an overlapping right parallelogram. We also need a conditional vertical-crossing estimate for globally separated extremal paths. Lemma 72 derives that estimate by a stepped-domain comparison. These assertions hold with either \(T=Y\) or \(T=Z\), carrying the choice of cell class in the cylinder’s boundary convention. This is not an identification of \(P_Y\) and \(P_Z\). The RSW proof uses horizontal translations, reflection in vertical symmetry axes, and the comparison that moves a plus test upward. Each of the two cell classes has those properties. The local reflection constructions can likewise be made for either class. Thus the same proof, with its chosen class fixed, gives (115) and lengthening for both laws. The weighted inputs here are the site versions specified in (Glazman and Lammers 2025, sec. 3.9 and Lemma 3.17). In particular they use triangular-site duality, whose opposite crossing ends on the appropriate site side. For joining paths the connector ends on, or at an occupied neighbor of, an already occupied site path; this is a connection in the same graph and needs no extra terminal edge. Lemma 68 (Finite boundary ports). Consider a cell law with no prescribed complementary-spin labels. Suppose that, after a first-spin/status history is fixed outside a retained set, every complementary-spin connection to the exterior passes through at most \(K\) sites. The retained cell factors, first-spin pins, and equality constraints are kept fixed. Removing the exterior connections changes the marginal density of the retained \((B,\tau)\) variables by a factor between \(2^{-(K-1)_+}\) and \(2^{(K-1)_+}\). Proof. For fixed retained \((B,\tau)\), the complementary-spin sum is two to the number of components of the graph of closed cells and equality edges. Exterior components missing all ports contribute a common factor. The other exterior components only wire together a partition of the ports, merging at most \((K-1)_+\) retained components. The ratio of unnormalized weights, after removal of the common exterior factor, is therefore in \([2^{-(K-1)_+},1]\). The same bounds hold for the ratio of partition sums. Division proves the assertion. Constant complementary spins satisfy all these equalities, so the two first-spin/status laws have the same support. ◻ Lemma 69 (Compatible finite boundary patches). Fix \(x\) and a bound \(M\) on the number of cells and sites of a patch. Keep the first-spin/status history outside the patch fixed, and reveal no complementary-spin labels. Let \(A\) be prescriptions in the patch with the following property: for every feasible exterior configuration, its first spins extend to the patch satisfying \(A\) and all common pins, with every prescribed open cell constant of its specified sign and every prescribed closed cell either mixed or of positive weight \(1-q_y\). Assume that all cells incident to a mutable patch site are included in the patch. Then \[\mathbb P(A\mid\hbox{exterior }(B,\tau))\geq c(x,M)>0.\] Consequently conditioning on \(A\) changes the probability of any event measurable off the patch by bounded factors depending only on \(x,M\). Proof. At most \(M\) exterior complementary-spin components meet the patch. Restrict their free labels to agree, losing a factor at most \(2^{(M-1)_+}\), and set all patch complementary spins to this common label. Choose the compatible first-spin extension. On every unprescribed cell select its open status if homogeneous, and its closed status if mixed. All its local weights are positive. If \(a(x)>0\) is the least positive member of \(x,x^2,1-x,1-x^2\), omitting zero entries, the resulting local weight is at least \(a(x)^M\). There are at most \(2^M3^M2^M\) local spin/status assignments, each of weight at most one. These bounds give a uniform lower bound for the ratio of the restricted and unrestricted conditional partition sums. In particular the argument includes \(x=1\): a prescribed closed cell must then be mixed. For an exterior marginal \(\mu\), conditioning multiplies its density by \(f/\mu(f)\), where \(c\leq f=\mathbb P(A\mid\hbox{exterior})\leq1\). This proves the last assertion. ◻ We will use this lemma only with a fixed-width collar between the changed sites and any incompatible exterior pin. Common occupied paths prescribe their own first-spin sites and are retained throughout. In each application below the other fixed sites are on a disjoint minus wall. Extend these compatible first-spin values across the collar arbitrarily and set the complementary spin constant. This verifies the extension hypothesis; it does not require a finite-energy assertion for a site already fixed by an opposite open cell. Lemma 70 (Equalities on a fixed plus layer). In the law of Lemma 63, fix a permitted history and an equality set \(E_0\). Let \(F\) be a set of edges both of whose endpoints are pinned \(B=+\). Adding the equalities \(W_u=W_v\) for \(uv\in F\) stochastically decreases the joint law of \(B\) and signed \(B\) statuses. There is no restriction on the number of edges in \(F\). Proof. Use \(E_-=E_0\cup F\) for the lower law and \(E_+=E_0\) for the upper law in (12). For first-spin configurations \(b,c\), put \(m=b\wedge c\) and \(j=b\vee c\). On \(F\) the plus-wall vectors satisfy \[a_-^+(m)=0=a_-^+(b)\wedge a_+^+(c),\qquad a_+^+(j)\geq a_+^+(c)=a_-^+(b)\vee a_+^+(c).\] All minus-wall coordinates on \(F\) vanish, since its endpoints are common plus pins. Off \(F\) the four inequalities in the proof of Proposition 6 are unchanged. The cell factors \(r_y\) do not depend on the equality set. Thus monotonicity and log-supermodularity of \(Z\) prove the same two-law inequality for the first-spin marginals. To restore statuses, first couple these marginals in order. In the conditional plus-cell weights (14), write \(A_-(S)\) and \(A_+(T)\) for the allowed wall-edge vectors of lower and upper open-cell sets. Their sorted vectors obey \[A_-(S\cap T)\geq A_-(S)\wedge A_+(T),\qquad A_+(S\cup T)\geq A_-(S)\vee A_+(T).\] On \(F\) the first comparison is \(0\geq0\) and the second is the inclusion of the upper open set in its union; elsewhere these are the usual cell-set comparisons. The Bernoulli factors cancel in the resulting two-law inequality. No cell containing an edge of \(F\) can be eligible for minus occupation, so the minus-status comparison is unchanged. The ordered status kernels complete the joint coupling. The nonnegative-weight argument applies also at \(x=1\). ◻ Lemma 71 (A straight short-direction crossing). Fix a cell class \(T\) and \(0<\eta<1/2\). In triangular coordinates let \(P=[0,3r]\times[0,r]\). Give its long sides open-plus \(B\) cuts and its short sides open-minus \(B\) cuts, exclude their boundary-cell factors, and leave complementary-spin labels unobserved. Use feasible bounded transition patches at the four corners. There is \(c=c(x,\eta)>0\), independent of \(r\), such that, for all sufficiently large \(r\), an occupied-plus \(T\)-site path in \(P\) crosses from height \(\eta r\) to height \((1-\eta)r\) with probability at least \(c\). Proof. All crossings below use the induced triangular site graph. Lattice rows and boundary contours are chosen with the fixed collars of Lemma 69; that lemma absorbs the bounded corner changes. The crossing between the two displayed interior heights is measurable away from these patches for sufficiently large \(r\). Divide \(P\) into three rhombi \(R_1,R_2,R_3\) of width \(r\). An ordinary \(B\)-plus vertical crossing in each outer rhombus has probability bounded below. Indeed, impose an adverse open-minus cut on its inner side. Conditional order and the finite corner/port comparison reduce the bound to an alternating open-arc rhombus. Reflection in its ascending diagonal, followed by reversal of \(B\), preserves that law and exchanges an ordinary plus vertical crossing with a minus horizontal crossing. Ordinary triangular-site duality gives a positive lower bound for these two symmetric alternatives. Both outer crossing events are increasing; association gives their intersection probability at least \(c_0(x)>0\). The auxiliary adverse cuts were used only to compare the two individual probabilities and are not retained. Run the following searches in the original law, without conditioning on the two ordinary-crossing events. Explore the \(B\)-minus component attached to the left short side, and similarly the component attached to the right short side. Reveal first spins only, and declare failure if either component reaches the middle rhombus. Retain the full Peierls interface separating each explored component from the middle rhombus, including all its excursions. The intersection of the two ordinary-crossing events guarantees that each interface is confined to its outer rhombus, since its ordinary plus crossing blocks the attached minus component. Thus the successful records have probability at least \(c_0(x)\). On each such record, fill holes on the explored side and retain the region \(D_0\) between the two interfaces. Its interior is unobserved, and \[R_2\subseteq D_0\subseteq P.\] Along either lateral interface the outer first spin is minus and the inner first spin is plus. Each selected mixed triangle contributes the constant \(q=x^2\) and forces its three complementary spins to agree. Successive selected triangles share a face. Thus each full lateral interface supplies one connected \(W\)-equality chain, regardless of its length or excursions. The constants cancel after conditioning on the exploration record. Away from the bounded corner patches, the top and bottom remain open-plus cuts and impose no \(W\) equality. Reflect in the ascending diagonal of \(R_2\). In these coordinates \[\rho(u,v)=(r+v,u-r),\qquad D=D_0\cup\rho(D_0).\] This reflection preserves the chosen cell class. For example, with \(\omega=e^{i\pi/3}\), \(\Lambda=\mathbb Z+\omega\mathbb Z\) and \(Y=\Lambda-i/\sqrt3\), its linear part is \(z\mapsto\omega\bar z\), and \(\omega\overline{(-i/\sqrt3)}+i/\sqrt3=\omega-1\in\Lambda\). The same holds for \(Z\). The inclusions above give \[\rho(D_0)\cap P=R_2,\qquad D\cap P=D_0.\] The union is a simply connected symmetric domain: its lower and upper reflected arms attach to \(D_0\) along the bottom and top sides of \(R_2\). The construction is made on the actual lattice contours with matching endpoint collars. Put \(A=(r,0)\), \(C=(2r,r)\), \(B_0=(2r,0)\) and \(D_1=(r,r)\). Reflection fixes \(A,C\) and exchanges \(B_0,D_1\). The boundary arc \(AB_0\) surrounds the lower reflected arm, and \(CD_1\) surrounds the upper one. Any occupied site connection between these two arcs has a bottom-to-top subcrossing of \(P\) entirely in \(D_0\): take its segment after the last bottom-side visit before the first subsequent top-side visit. It therefore contains the crossing between the two interior heights in the statement. No confinement of this subcrossing to \(R_2\) is required. On \(D\) take the excluded-boundary-cell law with \(B=+\) on its inner boundary layer and with \(W\) constant, of unspecified sign, on that layer. Denote it by \(\nu_D\). This is the equal mixture of the two laws with boundary spin pairs \((+,+)\) and \((+,-)\); global \(W\) reversal preserves all \(B\)-occupation events. For the \((+,+)\) law, occupied-site super-duality, reflection and interchange of colors give \[ \nu_D(AB_0\mathrel{\longleftrightarrow}_{\xi^{B,+}}CD_1) \geq\tfrac12. \tag{116}\] This is precisely the site-arc convention of (Glazman and Lammers 2025, Lemma 3.17): the two alternative color crossings have union of probability one, and symmetry equates their probabilities. Their disjointness is not required. The sign of a crossing incident to the corresponding boundary layer is plus. Where the old top and bottom cuts lie in the interior of \(D\), prescribe them open-plus. These are increasing first-spin/status prescriptions, so association preserves the lower bound (116). Their open factors are constants and remove all \(W\) interaction across them. On old top/bottom pieces that lie on \(\partial D\), the boundary factors are already excluded; no additional exterior minus pins are imposed on the sites of those open cells. This convention avoids a conflict between an open-plus cell and an exterior minus spin in the same cell. We compare the resulting law in \(D_0\) with the law left by the actual exploration. The old top/bottom pieces outside the middle rhombus lie on \(\partial D\) and hence have constant \(W\) under \(\nu_D\). In the actual law add exactly these equalities, along edges whose endpoints are already pinned \(B=+\) by the open cut. By Lemma 70, this decreases all increasing \(B\)-occupation events, with no loss depending on the number of edges. No equality is added on the old top/bottom pieces that run through the interior of \(D\), namely the middle-rhombus pieces. After this lowering, the two laws have identical retained cell factors, first-spin pins, and long boundary equality chains. The two lateral chains, extended along their adjacent old top/bottom boundary pieces, contain every remaining complementary-spin connection to the exterior, except for the bounded transition patches. Their sites all have fixed boundary first-spin data. The remaining exterior can only identify these two chains or leave their labels separate. For fixed retained \((B,\tau)\), such an identification changes the complementary spin sum by a factor in \(\{1,1/2\}\); after normalization the two marginal densities differ by at most a factor two. Mixtures over unobserved exterior statuses preserve this bound. Applying Lemmas 68 and 69 to the finitely many additional corner components gives a uniform factor \(c_1(x)>0\). Consequently, for every successful ordinary-interface exploration record, the original probability of the occupied crossing between the interior heights is at least \(c_1(x)/2\). Averaging over those records and using their probability at least \(c_0(x)\) proves the assertion. All modifications at the corners are compatible bounded patches and all other comparisons are monotone or involve the two connected boundary chains. Thus no bound depends on a boundary length. The argument and the patch lemma include \(x=1\). ◻ Lemma 72 (A separated-path crossing). Use triangular coordinates \((u,v)\), with \(u\) horizontal, and a fixed cell class \(T\). Let \[P_L=[0,6\ell]\times[0,\ell],\qquad P_R=[\ell,7\ell]\times[0,\ell]\] be embedded parallelograms in a matching mixed cylinder. Let \(\Gamma_L\) be the uppermost occupied-plus horizontal crossing of \(P_L\) and \(\Gamma_R\) the lowermost one of \(P_R\). Suppose that \(\Gamma_L\) lies above \(3\ell/4\) and \(\Gamma_R\) below \(\ell/4\). For all sufficiently large \(\ell\) there is \(c=c(x)>0\), uniform in the feasible extremal pair and in \(\ell\), such that, conditional on this pair, with probability at least \(c\) there is an occupied-plus vertical crossing between heights \(3\ell/10\) and \(7\ell/10\) in the horizontal window \([5\ell/4,23\ell/4]\). The cylinder and lattice rounding are required to leave a fixed-width collar around the displayed parallelograms. Proof. We prove the estimate uniformly after refining the two extremal paths to their exterior exploration records. The upper exploration reveals only the part of \(P_L\) above its full crossing, and the lower one only the part of \(P_R\) below its full crossing, together with the prescribed first-spin layers on the crossings. All observed statuses include all their first-spin sites. No complementary-spin label is revealed. The path version of the invasion argument in Lemma 66 gives these records. Use the actual authorized honeycomb boundary of the explored face set to realize each extremal crossing. Every queried cell meeting both sides is then an open boundary cell; its retained first spins are its prescribed plus layer. This avoids revealing an additional strip along an arbitrary interpolation of a site path. We retain the full crossings, including all their excursions near a side. Construct a stepped reference region \(S\). Its upper portion has horizontal range \([0,6\ell]\) and vertical range \([\ell/2,5\ell/4]\); its lower portion has horizontal range \([\ell,7\ell]\) and vertical range \([-\ell/4,\ell/2]\). Move each of its two stepped sidewalls outward by a fixed number of lattice spacings, say twenty, and round to honeycomb paths. The top and bottom sides are likewise chosen as actual lattice contours. The steps lie at height near \(\ell/2\), at positive macroscopic distance from both extremal paths. Join the actual four endpoints of the full crossings to the respective outer sidewalls through four bounded patches. The region \(D\) between the two full paths and these sidewalls is unobserved outside those patches. Indeed its upper part is below the full \(\Gamma_L\) in \(P_L\), and its lower part is above the full \(\Gamma_R\) in \(P_R\). In their overlap the two statements hold simultaneously, since the height bands are separated. The narrow strips introduced outside a side of a parallelogram were not queried by its exploration; the other exploration is separated from them in height. Thus the only extra recorded sites or cells introduced by an endpoint join lie in its bounded patch. This uses the full paths: no discarded prefix is placed in \(D\). Prescribe the two adverse sidewalls open-minus, stopping them before the endpoint patches. They lie in the unobserved region and are disjoint from the occupied-plus crossings. By conditional order this can only decrease the probability of the desired central vertical crossing; the rarity of the prescribed walls incurs no probability factor. We next make bounded, compatible completions in the endpoint patches. Let \(h\) be the complete original record in those patches: retain every recorded first spin and status, including all first-spin sites of each recorded cell. Retain also the plus pins forced by the crossings. The new minus walls are separated from these sites by the fixed outward displacement. Choose a compatible completion \(A\) only in a bounded core, keeping an outer collar unprescribed except for the common crossing and wall pins. The fixed first-spin values are compatible; extend them across this free collar and set the complementary spin constant. On unprescribed core cells choose open status when homogeneous and closed status when mixed. Include every cell incident to a mutable core site in the patch. Thus Lemma 69 gives a uniform positive lower bound for \(A\). At \(x=1\), recorded closed cells keep their already recorded mixed first spins. Write \(h^*=(h,A)\), and keep this complete bounded history in all reference laws below. No arbitrary part of the original record is removed by a finite-energy assertion. Let \(\nu_{S,h^*}\) be a reference law with open-plus top and bottom arcs, open-minus stepped sidewalls, and this same history \(h^*\) in the four endpoint cores. Realize the law in a filled ambient triangulation by these cell and first-spin prescriptions, with a fixed feasible completion of its outer corner cells and no complementary-spin labels. Its top and bottom are at distance at least \(\ell/4\) from the original parallelograms, so their prescribed plus layers do not meet \(h^*\). The law is positively associated by Lemma 63. Condition this reference law on the two full paths being occupied-plus. The law in \(D\) has the same retained cell factors and first-spin pins as the original record completed by \(A\). Every other boundary cell is open and removes the complementary-spin interaction across its arc. Choose each completed core to contain its entire short endpoint join, including every non-open cell crossing the chosen boundary of \(D\) and all its first-spin sites. The boundary enters and leaves the free outer collar only along the common open crossing or wall arcs. Thus every cross-boundary cell outside the completed cores is already open. All other cross-boundary first spins and statuses are fixed in \(h^*\); only the uniformly bounded number of complementary-spin sites in those cores can communicate with the exterior. Lemma 68 compares the two retained laws with a uniform factor, independently of the exterior complementary-spin wiring. The original endpoint history \(h^*\) is kept on both sides of this comparison. Write \(E\) for the vertical crossing of the central height interval in the statement. Its support, including the incident first-spin sites of its cells, lies in \(D\) for sufficiently large \(\ell\); the full comparison rectangle need not lie in \(D\). The bounded displacement between the occupied site path and its authorized exploration boundary is absorbed by the strict height gaps. Its horizontal window is at macroscopic distance from all actual endpoint patches, whose horizontal coordinates are near \(0,6\ell,\ell,7\ell\). The fixed corners of \(S\) are also outside this window. The lower bound for \(A\), followed by the port comparison, gives \[ \mathbb P(E\mid\hbox{original record}) \geq c_1(x)\, \nu_{S,h^*}(E\mid\Gamma_L,\Gamma_R\hbox{ occupied-plus}) \geq c_1(x)\,\nu_{S,h^*}(E). \tag{117}\] The last inequality is association: the full-path prescriptions are increasing, with every first-spin site of each path cell included. All constants are uniform in the retained bounded history \(h^*\). It remains to bound \(\nu_{S,h^*}(E)\). In the reference law alone, prescribe two additional open-minus walls at horizontal positions \(5\ell/4\) and \(23\ell/4\), ending a bounded distance before the top and bottom plus arcs. This decreases \(E\). Complete the four new transition patches as above. These walls and patches are at macroscopic distance from every actual endpoint patch. The central region is a straight parallelogram of width \(9\ell/2\) and height \(3\ell/2\), hence aspect ratio three. Exact cut factorization off its corners and Lemmas 68–69 compare its law with the alternating open-arc law of Lemma 71. Lemma 71, with \(r=3\ell/2\) and \(\eta=11/30\), bounds below the probability of the crossing \(E\) itself: its two heights are \(-\ell/4+(11/30)(3\ell/2)=3\ell/10\) and \(-\ell/4+(19/30)(3\ell/2)=7\ell/10\). It follows that \(\nu_{S,h^*}(E)\geq c_2(x)>0\). The additional interior minus walls were imposed only in \(\nu_{S,h^*}\), after removing the conditioning on the actual crossings in (117). They are therefore not required to be compatible with paths that might cross them. Combining the two bounds and averaging over the exterior exploration records proves the lemma. All exceptional corner adjustments involve a bounded number of cells, with free outer collars and compatible common pins as above. ◻ A seed with either cell orientationWe give the scale and extraction conventions once. Fix \(C\geq3\) and work in the mixed cylinder in (58) of (Glazman and Lammers 2025), with circumference \(L\sim2Cn\) and height \(H\sim5n\). These relations only allow the usual bounded changes needed to select actual lattice rows. Choose \(m=\lfloor\varepsilon H\rfloor\), where \(\varepsilon>0\) is a fixed small constant, for instance \(10^{-5}\). Every construction below fits with this choice; making \(\varepsilon\) smaller by a fixed factor would only change constants. We first take \(n\) large enough for all clearances to exceed a fixed number of lattice spacings. A band of height \(m+O(1)\) supplies a finite family of tests as follows. Lift paths to the flat cover of the cylinder, and put horizontal centers on a net of spacing at most \(m/4\). If a vertical crossing has horizontal extent at most \(5m\), a window of width \(5.5m\) contains it. Trim its vertical ends to obtain a vertical test of width six times its height, with height between \(.96m\) and \(.99m\), after the allowed lattice rounding. If its extent is greater than \(5m\), take a subpath between vertical lines separated by \(4.4m\) and trim it to a horizontal test of width four times its height, with height between \(1.01m\) and \(1.05m\). The latter window encloses the original band vertically. An occupied winding also supplies horizontal tests of this type. The slack permits the specified centers, lattice rows, and crossing-side conventions to be adjusted before trimming. There are finitely many tests, with their number bounded in terms of \(C\) and \(\varepsilon\), not \(n\). We call a lower bound for one of these tests a seed. Lemma 73 (Seed with a matching class). There is \(c=c(x,C)>0\) such that, for each sufficiently large \(n\), one of \(T=Y,Z\) has a seed of occupied \(B\)-plus cells, under the matching mixed law \(P_T\), in a band of height comparable to \(m\) centered near \(.71H\). The seed is a horizontal crossing of aspect ratio four or a vertical crossing of aspect ratio six. The choice of class and test may depend on \(n\); the lower bound \(c\) does not. Proof. Start under \(P_Y\) with a thin band \(S\) centered near \(H/3\). Lemma 67 gives a vertical occupied \(B\) crossing of one sign, or a winding occupied \(W\) circuit of one sign. The sum of the probabilities of these four events is at least one. A \(B\)-plus vertical crossing gives a \(Y\) seed by the finite-family extraction above. The slide comparison of Lemma 65 moves its test upward. A \(B\)-minus vertical crossing is reflected across the horizontal middle line of the cylinder, followed by a flip of \(B\). The resulting law is \(P_Z\), including its boundary-cell convention: horizontal reflection interchanges the two cell classes. It gives a \(Z\) plus seed near \(2H/3\), which can again be moved upward. Neither step asserts a color-preserving symmetry of a fixed \(P_Y\) law. It remains to treat a \(W\) winding. Global \(W\) flip lets us take its sign to be plus, at a loss of at most a factor two. Search from below in a slightly enlarged band, as in Lemma 66. On a successful record the retained upper region lies above one open \(W\)-plus winding \(\gamma\) of class \(Y\) and below the original upper \(B\)-plus cut. All tests used next lie in its unobserved part. Choose a horizontal lattice reflection axis near \(.69H\). The reflection of \(\gamma\) lies strictly above the old top, since \(2(.69)-1/3>1\) and the search band is thin. Move the top \(B\)-plus cut up to that reflected contour, now of class \(Z\). By Lemma 64 and the cut comparison, this move decreases every increasing \(B\)-plus test. The law between \(\gamma\) and its reflection is invariant under reflection followed by exchange of the two spin colors. This follows from the coherent edge weight and the exact cut factors; the transformation also transports \(Y\) tests to \(Z\) tests. Apply band duality near the reflection axis, using fresh \(Y\) augmentation. The finite extraction gives a family of \(B\) seeds of either sign and \(W\) horizontal seeds of either sign whose probabilities have sum bounded below. Reflection and color exchange turn the \(W\) seeds into \(Z\)-oriented \(B\) seeds. For either orientation a minus seed has probability at most that of the corresponding plus seed: flipping \(B\) changes the top prescribed cut from plus to minus while retaining the one \(W\)-plus cut, and Lemma 64 orders these two laws. Consequently a fixed finite family of \(B\)-plus tests, in the two orientations, has total probability bounded below in the symmetric law, uniformly over the successful search record. The same lower bound holds in the original law above \(\gamma\), by the comparison that moved the top upward. Its index family can be chosen independently of \(\gamma\): the search band, reflection axis, and enlarged test windows are deterministic and separated. Averaging over successful records therefore gives a positive lower bound for one of those tests under \(P_Y\). If that test uses class \(Z\), its augmentation is fresh and unobserved. Apply the slide comparison, changing the boundary class to that of the test, to move it upward and obtain an ordinary matching \(P_Z\) experiment. The same comparison moves a \(Y\) test upward within \(P_Y\). All three branches can thus be placed near \(.71H\), with clearance between every old and new cut when their classes differ. Taking the minimum of the finitely many bounds proves the lemma. The sum bound is obtained before choosing its successful member, so no random test is selected inside a conditional probability. ◻ A winding and recovery of the requested orientationApply (115) if the seed in Lemma 73 is vertical. We have a positive lower bound for an occupied horizontal plus crossing in the matching law \(P_T\). If \(T=Y\), horizontal lengthening gives the horizontal crossing required in (58), inside its target band \([3n,4n]\): the seed is near \(.71H\sim3.55n\) and its height is much smaller than \(n\). It remains to treat \(T=Z\). We do not identify opposite-orientation augmentations at the same location. Lemma 74 (Winding from the matching seed). Under \(P_Z\), the horizontal seed above implies a positive lower bound for an occupied \(B\)-plus winding of class \(Z\) in a thin neighborhood of height \(.71H\), entirely below \(.73H\). The bound is uniform in \(n\). Proof. We first obtain a short vertical crossing in a controlled horizontal window. Use the two overlapping width-\(6\ell\) parallelograms of Lemma 72, choosing their vertical height to be about \(50m\). Their total horizontal span is less than \(500m\). Place their bottom at, or just above, the seed band. In a thin band above relative height \(40m\), request a horizontal crossing through the left parallelogram; in one below relative height \(10m\), request a horizontal crossing through the right parallelogram. These estimates follow from the original horizontal seed, upward translation by Lemma 65, and horizontal lengthening with fixed aspect ratios. Cross rectangles extending beyond the parallelogram’s sloping sides and then trim the paths to those sides. Association makes the intersection of the two requests have probability bounded below. Let \(\Gamma_L\) be the uppermost crossing of the full left parallelogram and \(\Gamma_R\) the lowermost crossing of the full right one. A crossing in the upper thin band separates the top side from the region below that band; hence the uppermost crossing stays above relative height \(39m\), allowing lattice rounding. Similarly the lowermost right crossing stays below height \(11m\). Thus the two thin-band requests imply that the pair \((\Gamma_L,\Gamma_R)\) lies in a set \(\mathcal G\) of separated realizations in gluing order. For each realization in \(\mathcal G\), Lemma 72 gives a vertical crossing of the central gap with conditional probability at least \(c_0>0\). The bounds \(39m\) and \(11m\) put the extremals above three quarters and below one quarter of their height-\(50m\) parallelograms. We condition only on the two extremal crossings, not additionally on the thin-band requests. Averaging gives a lower bound \(c_0\mathbb P(\mathcal G)\), and \(\mathbb P(\mathcal G)\) is at least the probability of the requests. The resulting crossing runs between relative heights \(15m\) and \(35m\) in a horizontal window of width at most \(500m\). This supplies the required local vertical-crossing estimate. Place a thin horizontal band about relative height \(25m\), strictly between these two vertical levels. Translate the vertical-crossing window to two seam neighborhoods separated by about \(L/2\). Their widths are much smaller than \(L\). Request also two horizontal crossings in the thin band: one follows each of the two arcs between the seams, and each extends beyond the whole vertical window at both ends. These horizontal rectangles have length, for example, about \(3L/4\), so each is embedded in the cylinder. Their crossing estimates are ordinary horizontal lengthenings. All four events are increasing in the same signed \(B\)-status field. Association bounds the probability of their intersection below by a positive constant. On that intersection both horizontal paths meet the vertical path in each seam neighborhood, by planar site crossing. In the flat cover, the first horizontal path connects seam 1 to seam 2 on its right, and the second connects seam 2 to the next periodic copy of seam 1. The connections therefore join a site path to its translate by one full period. Its projection contains a noncontractible occupied circuit. The interpolation to authorized honeycomb edges changes its position by only a bounded number of lattice spacings and yields a simple winding cut in a slightly larger band. All these bands remain below \(.73H\) because \(m/H\) is fixed and sufficiently small. ◻ Proposition 75 (The mixed-cylinder seed estimate). For every fixed \(C\geq3\) there is \(\delta=\delta(x,C)>0\) such that, for all sufficiently large \(n\), \[ P_Y\bigl(\mathsf H_Y^+([-2n,2n]\times[3n,4n])\bigr)\geq\delta \tag{118}\] on the mixed cylinder \(\mathrm{Cyl}_{Cn,5n}\) of (Glazman and Lammers 2025, Appendix A), with the same lattice rounding convention. Proof. Only the \(T=Z\) branch remains after Lemma 73 and (115). By Lemma 74, with probability bounded below an exterior search finds a \(Z\)-oriented \(B\)-plus winding below \(.73H\). Above a successful record the retained law is between that plus cut and the original upper plus cut. It is therefore above the free capped-sphere law for increasing \(B\)-plus tests: prescribing either plus cut is an increase by Lemma 63. Tests of class \(Y\) well above the explored band use disjoint, fresh cells, so this comparison applies to them too. Test a thin band near \(.75H\) using class \(Y\). The free sphere law is invariant under the two spin flips and exchange of the spin colors. Band duality and finite extraction therefore imply a positive lower bound for the sum of a fixed finite family of \(Y\)-oriented \(B\)-plus seed probabilities. These spin symmetries do not require spatial translation or reflection symmetry of the caps. The lower bound holds in every retained law between the two plus cuts. Average over successful records, and then choose one member of the deterministic family. This gives a \(Y\) seed under \(P_Z\). Finally slide the boundary cuts and change their class to \(Y\), moving the test to height near \(.77H\). Lemma 65 preserves the lower bound and gives the matching mixed law \(P_Y\). The clearance between old and new cuts guarantees that the cell families used in this comparison are edge-disjoint. Apply (115) if the seed is vertical, then horizontally lengthen to width \(4n\). Since \(.77H\sim3.85n\) and all vertical bands used here are much thinner than \(n\), the resulting path stays in \([3n,4n]\). It is the crossing in (118). ◻ The annulus estimate and the field theoremProof of Theorem 5. Proposition 75 proves the horizontal alternative in (58) of (Glazman and Lammers 2025). We now use the implications of that source’s Appendix A. The RSW estimate (56) and horizontal lengthening convert (58) into the pushing estimate (57); the comparison between rectangle and cylinder has exactly the boundary-cell convention realized by our cuts. Pushing gives the renormalization inequality (23), and its non-exponential-decay branch, selected by the exclusion argument on pp. 44–45 of (Glazman and Lammers 2025), gives equation (55). Those implications use association, domain Markov comparison, the weighted site-crossing inputs already specified, and qualitative delocalization. Their output is precisely an occupied plus circuit under an excluded-boundary-cell law with the first color minus on its boundary layer and the second color free. Lemma 4 identifies this with the law used in the statement of Theorem 5. Our seed proof was for sufficiently large lattice scales. The finitely many remaining admissible \(n\) can be absorbed by decreasing the constant. The condition \(n\geq3/(a-1)\) implies \(\lfloor an\rfloor-n\geq3\), so a plus ring can be placed around layer \(n+1\), with plus first spins through layer \(n+2\), minus first spins on the outer prescribed boundary layer, and constant second spin. Force the finitely many ring cells open. This is a feasible positive-weight configuration for every \(x\in[1/\sqrt2,1]\). Thus each of those finite probabilities is positive. Spin flips and color exchange give the other versions of the theorem. ◻ The dependence of the proof is \[\text{cut and order lemmas, (56), local site gluing} \ \Longrightarrow\ \eqref{annulus:seed-bound} \ \Longrightarrow\ (57),(23),(55).\] The seed uses only the local cut, order, and crossing inputs displayed above. Theorem 5 supplies the annulus estimate in Lemma 10. Proposition 24 gives \(v\in(0,\infty)\) with the Euclidean-area convention. Section 7 then proves tightness, the Wick recursion, and all mixed-moment convergence with \(\sigma(x)=\sqrt v\) for the inside approximations of Theorem 2.
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