Pith. sign in

REVIEW 2 major objections 4 minor 34 references

Characterizing the limiting critical Potts measures on locally regular-tree-like expander graphs

T0 review · 2 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read For any integers d,q≥3, the critical Potts measures on locally tree-like expander graphs have local weak limits that are exactly mixtures of the free and wired Potts Gibbs measures on the d-regular tree, and every mixture weight can be…

desk verdict Genuine new results, but the proof of the main classification theorems has a load-bearing gap in Lemma 3.11(iii). read the letter →

arxiv 2505.24283 v1 pith:N3NGQGN7 submitted 2025-05-30 math.PR math-phmath.MP

classification math.PRmath-phmath.MP MSC 60K3582B2082B27
keywords PottsmodelrandomclusterlocalweakconvergencephasecoexistenceexpandergraphsBenjamini-SchrammfreeandwiredGibbsmeasurescriticalline
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

For integers d,q≥3, consider the q-state ferromagnetic Potts model with an external field on sparse graphs that locally resemble the d-regular tree and are uniformly expanding. This paper proves that along the critical line, every subsequential local weak limit of the Potts measures is a convex combination α $μ^{{f,β,B}}$ + (1−α) $μ^{{w,β,B}}$ of the free and wired Potts Gibbs measures on the infinite tree. It further proves the converse with full strength: for every α in [0,1] there is a sequence of such expander graphs whose Potts measures converge locally weakly in probability to exactly that mixture. The same mixture characterization is proved for random cluster measures for every real q>2. This settles, for all d,q≥3, the prediction that critical Potts measures on locally tree-like expanders exhibit strong coexistence of the disordered and ordered phases.

What carries the argument

The argument runs through the Edwards-Sokal coupling, which identifies the Potts measure as the spin marginal of a coupled random-cluster measure. A rank-2 approximation reduces the random cluster partition function on G_n to the partition function of a zero-field Ising model on the same graph; on the critical line the external-field term cancels, and the candidate mixture weights ψ_f and ψ_w are identified with the two possible Ising magnetizations ±m(β*). Exponential deviation estimates for large FK-Ising percolation clusters on expanders, obtained by a sprinkling argument, then force the component containing the ghost vertex to have size close to either ψ_f|V_n| or ψ_w|V_n|, which pins the local weak limit to the family M or N. For Theorem 1.6, small-subgraph conditioning gives sharp asymptotics of the free and wired partial Potts partition functions on random d-regular graphs in terms of short-cycle counts, and a cavity-method calculation shows that deleting m edges and adding p vertices of degree d−1 or d+1 multiplies the ratio of free to wired partition functions by a power of Δ_{d⋆,f}/Δ_{d⋆,w}. The two strict inequalities Δ_{d−1,f} > Δ_{d−1,w} and Δ_{d+1,f} < Δ_{d+1,w} ensure the two operations push the ratio in opposite directions, so any target ratio can be attained.

What would settle it

Evaluate the four quantities Δ_{d−1,f}, Δ_{d−1,w}, Δ_{d+1,f}, and Δ_{d+1,w} defined in Appendix B.6 at small parameters such as d=q=3 on the critical line; if Δ_{d−1,f} ≤ Δ_{d−1,w} or Δ_{d+1,f} ≥ Δ_{d+1,w}, the arbitrary-mixture-weight conclusion of Theorem 1.6 fails for the constructed graphs.

Watch

Extended reading notes

Core claim

On the paper's own terms, the central discovery is Theorem 1.4: if G_n are uniform edge-expander graphs converging locally to the d-regular tree T_d, then for any (β,B) on the critical line R_c, any convergent subsequence of the Potts measures $μ_n^{{β,B}}$ converges locally weakly in probability to a single measure in the family M = {α $μ^{{f,β,B}}$ + (1−α) $μ^{{w,β,B}}$ : α ∈ [0,1]}. There are no limiting mixtures with more than two components, and no non-tree-like limit points. Theorem 1.6 sharpens this by showing the whole interval of mixture weights is realized: for every α ∈ [0,1] there exist uniform edge-expander graphs G_n with girth tending to infinity such that $μ_n^{{β,B}}$ converges locally weakly in probability to α $μ^{{f,β,B}}$ + (1−α) $μ^{{w,β,B}}$. The analogous statement for random cluster measures, Theorem 1.5, holds for every real q>2, not just integer q.

Load-bearing premise

The construction of all mixture weights in Theorem 1.6 rests on the two strict inequalities Δ_{d−1,f} > Δ_{d−1,w} and Δ_{d+1,f} < Δ_{d+1,w}; if either failed for some d and q, deleting or adding edges would push the free-to-wired ratio in the wrong direction and the proof would not realize arbitrary α.

Editorial extensions

If this is right

  • On every uniform edge-expander graph sequence with G_n converging locally to T_d, the critical Potts measures have no exotic local limits: the only possible limits are free-wired mixtures, and convergence occurs in probability rather than only along subsequences.
  • Strong phase coexistence is real for all d,q≥3: at criticality the disordered and ordered phases can coexist with any prescribed weight α and 1−α.
  • The mixture weight is determined by the ratio of the free to wired partial Potts partition functions, which on random d-regular graphs is expressed through short-cycle counts.
  • The same mixture description holds for random cluster measures with real cluster parameter q>2, so the result is not an artifact of integer spin states.
  • These results cover the full parameter range d,q≥3, extending earlier treatments that required either zero field with very large q or even d.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Editorial extension: the mechanism suggests a general principle that on expanders with locally tree-like geometry, whenever two Bethe-optimal fixed points coexist, the limiting Gibbs measure should be a mixture of the corresponding tree Gibbs measures; one could test this on other models with first-order transitions, such as the hard-core model at its uniqueness threshold.
  • Editorial extension: because arbitrary α is obtained by deleting and adding O(1) edges per graph, the local weak limit is not determined by the local graph structure alone; global expansion plus sparse microscopic modifications control the mixture weight, which may matter for algorithms that estimate partition functions from local statistics.
  • Editorial extension: the inequalities in Lemma 4.10 are the only numerical input deferred to the appendix; checking them by exact computation for small d and q would either confirm the tuning construction or reveal a new regime.
  • Proposal: simulate the critical Potts measure on the modified random d-regular graphs constructed in the paper and measure the fraction of vertices whose local statistics match the ordered phase; it should converge to the chosen α.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

2 major / 4 minor

Summary. The manuscript studies the q-state ferromagnetic Potts model with external field and the associated random cluster model on expander graph sequences converging locally to the d-regular tree T_d. Its first main result (Theorems 1.4 and 1.5) claims that on the critical line every subsequential local weak limit is supported on a single mixture of the free and wired tree Gibbs measures, for all integers d,q at least 3 and for all real q>2 in the random cluster case. Its second main result (Theorem 1.6) claims that for every mixture weight alpha in [0,1] there exist locally T_d-like expander graphs whose critical Potts measures converge in probability to alpha times the free measure plus (1-alpha) times the wired measure. The proof strategy combines the Edwards-Sokal coupling, a rank-2 reduction to a zero-field Ising model, exponential deviation estimates on expanders, small-subgraph-conditioning asymptotics for random d-regular graphs, and a graph-modification procedure. The paper is clearly organized and contains substantial appendix calculations, but two load-bearing points in the written proofs are not currently justified.

Significance. If the gaps described below are repaired, the paper would resolve a question left open by BDS23 and HJP23 and would provide the first construction of arbitrary phase-coexistence mixtures on locally tree-like expander graphs. The manuscript makes non-black-box use of external results such as CvdH25, BDS23, GvVY16, MMS12, and KLS20, and the candidate free and wired measures come from independent characterizations; there is no indication of circular reasoning. The appendix contains detailed moment and small-subgraph-conditioning calculations, and the paper is honest about which estimates are imported. Strengths include the explicit description of the limit set, the explicit graph construction for arbitrary mixture weights, and the substantial technical apparatus. No machine-checked proofs or reproducible code are provided, and the numerical evidence in Section 4.1 is informal.

major comments (2)
  1. [Section 3.2, Lemma 3.11(iii)] The claimed contradiction with [MMS12, Theorem 2.5] does not follow from the inequalities written. The proof chooses beta-prime > beta with m(beta-prime) < m(beta)+delta/100 and derives, via psi^{w-prime}, an event of probability at least 1/2 - o(1) on which |<sigma,1>|/|V_n| is at least m(beta)+delta/40. But [MMS12] for beta-prime only gives |<sigma,1>|/|V_n| in (m(beta-prime)-delta/40, m(beta-prime)+delta/40) with probability 1-o(1). Since m(beta-prime) > m(beta), the threshold m(beta)+delta/40 is strictly less than the upper endpoint m(beta-prime)+delta/40, so the event is compatible with the concentration interval. Thus no contradiction is obtained. Consequently Lemma 3.11(iii) is unproved, and with it the upper-bound half of Proposition 3.8 and the exponential deviation estimate Proposition 3.7, on which both Theorems 1.4 and 1.5 rest. A different argument, for example a direct upper-deviation estimate at beta itself, is needed.
  2. [Section 4.3, proof of Theorem 1.6] The case split in the construction is internally inconsistent. The proof announces that it treats only the case star = w, which by definition means delta^w_k > delta^f_k for all large k. Immediately afterward it chooses K satisfying 1 < (1+delta^f_K)/(1+delta^w_K) < 1+n^{-1}, which requires delta^f_K > delta^w_K and is impossible when star = w. Moreover, for star = w both the factor (Delta_{d+1,f}/Delta_{d+1,w})^p and the cycle factor ((1+delta^f_K)/(1+delta^w_K))^x are below 1, so the construction cannot increase the prefactor to the target gamma as claimed. The argument as written can only work for star = f, in which case the modification should use Delta_{d-1} rather than Delta_{d+1}. The arbitrary-alpha conclusion of Theorem 1.6 is therefore not established by the present text.
minor comments (4)
  1. [Equation (17) and Proposition 3.4 display] In the display for phi^{w,B}_{G^*_n}[|C^*| approx psi |V_n|], the denominator should be Z^{RC,w,B}_{G^*_n}, not Z^{RC,w,B}_{G_n}; the notation in (28) is correct and should be used consistently.
  2. [Section 3.2, proof of Lemma 3.11(ii)] The expression 'm(delta) - delta/40' in the displayed inequality should be 'm(beta) - delta/40'; this is clearly a typo but it appears in a load-bearing argument.
  3. [Section 3.2, proof of Proposition 3.7] The phrase 'if eta is (beta, eta, R)-good' should read '(beta, delta, R)-good', matching the definition of good configurations in Proposition 3.8.
  4. [Appendix B.6, proof of Lemma 4.10] The inequality S^d < Q^d is asserted without proof in the chain S^d < Q^d < T/(C1+C2) < P^d < R^d; it follows from nu^f(1)<nu^w(1) and the monotonicity of the overlap denominators, but a one-line justification would help the reader.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the load-bearing inputs are external prior results and Theorem 1.6 is an explicit construction rather than a fitted prediction.

full rationale

I find no circular step that makes a claimed derivation equivalent to its inputs. The candidate limiting measures mu^{f,beta,B}, mu^{w,beta,B}, phi^{f,w,B}, phi^{w,w,B}, the critical line R_c, and the Bethe fixed points are imported from independent prior works [MMS12, BDS23, CvdH25, GvVY16, DMSS14, HJP23], none of which are authored by Du or Zhou. There is no self-citation chain that is load-bearing. The main characterization Theorems 1.4 and 1.5 rest on Proposition 3.2 and Proposition 3.7; the latter invokes [MMS12, Theorem 2.5] as an external, stated concentration theorem for the Ising model on expanders, and the rank-2 approximation invokes [CvdH25, Lemma 2.3] and [BBC23] as external results. These are used as assumptions, not as consequences of the present paper, so the derivation does not reduce to its own conclusion. Theorem 1.6 is a construction: the desired alpha is fixed in advance, and the proof chooses modified graphs with specified cycle counts (via Gamma, the delta_k^dagger, and Lemma 4.10) so that the ratio Z^f/Z^w tends to alpha/(1-alpha). The mixture weight is not fitted to the same data that is then 'predicted'; it is achieved by explicit graph modification. Lemma 4.10 and Appendix B.6 prove the needed inequalities from the Bethe fixed-point equations and the critical-line identity Delta_{d,f} = Delta_{d,w}, rather than assuming the conclusion. Even if some proof step, such as the contradiction in Lemma 3.11(iii), is questionable as a mathematical argument, that would concern correctness or rigor, not circularity. I therefore assign score 0.

Assumptions & free parameters 0 free parameters · 5 assumptions · 0 invented entities

The central proof imports prior characterizations of Bethe fixed points, rank-2 approximations, and Ising concentration from external papers. No free parameter is fitted to data; constants in the construction are chosen to satisfy inequalities, not to match observations. No new physical entities are introduced.

assumptions (5)
  • domain assumption Bethe prediction and rank-2 approximation for random cluster partition functions on locally T_d-like graphs, in particular Z_RC >= tilde Z_RC from CvdH25 Lemma 2.3.
    Invoked in Proposition 3.4 and equation (36); without this approximation the reduction to an Ising magnetization calculation fails.
  • domain assumption Weak limit classification and monotonicity of random cluster measures with boundary conditions from BDS23.
    Lemma 3.13 and Lemma 3.14 use the set eR and the RCM pre-message characterization from BDS23; the candidate mixture space is inherited from that classification.
  • domain assumption Concentration of magnetization for zero-field Ising models on locally tree-like expander graphs, MMS12 Theorem 2.5.
    Used in Lemma 3.11 to force the mean cluster mass near m(beta) and again in Proposition 3.2 bounds. If this external estimate failed, the exponential deviation estimates would not follow.
  • domain assumption First and second moment saddle-point formulas for Potts partition functions on random d-regular graphs from GvVY16 equations (74) and (75).
    Appendix A relies on these formulas to prove Proposition 4.4; if they were invalid, the small subgraph conditioning step would break.
  • standard math Small subgraph conditioning theorem of Jan95 and Wormald, together with Poisson convergence of cycle counts in random regular graphs from Bollobas.
    Used to convert moment estimates into almost-sure asymptotics for partial Potts partition functions, equation (55).

how reviews work

0 comments
Cite this review

Pith. "Pith review of Characterizing the limiting critical Potts measures on locally regular-tree-like expander graphs." pith.science (2026). https://pith.science/paper/N3NGQGN7

@misc{pith2026250524283,
  author       = {Pith},
  title        = {Pith review of: Characterizing the limiting critical Potts measures on locally regular-tree-like expander graphs},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/N3NGQGN7}},
  note         = {Machine review of arXiv:2505.24283}
}
abstract

For any integers $d,q\ge 3$, we consider the $q$-state ferromagnetic Potts model with an external field on a sequence of expander graphs that converges to the $d$-regular tree $\mathtt{T}_d$ in the Benjamini-Schramm sense. We show that along the critical line, any subsequential local weak limit of the Potts measures is a mixture of the free and wired Potts Gibbs measures on $\mathtt{T}_d$. Furthermore, we show the possibility of an arbitrary extent of strong phase coexistence: for any $\alpha\in [0,1]$, there exists a sequence of locally $\mathtt{T}_d$-like expander graphs $\{G_n\}$, such that the Potts measures on $\{G_n\}$ locally weakly converges to the $(\alpha,1-\alpha)$-mixture of the free and wired Potts Gibbs measures. Our result extends results of \cite{HJP23} which restrict to the zero-field case and also require $q$ to be sufficiently large relative to $d$, and results of \cite{BDS23} which restrict to the even $d$ case. We also confirm the phase coexistence prediction of \cite{BDS23}, asserting that the Potts local weak limit is a genuine mixture of the free and wired states in a generic setting. We further characterize the subsequential local weak limits of random cluster measures on such graph sequences, for any cluster parameter $q>2$ (not necessarily integer).

Figures

Figures reproduced from arXiv: 2505.24283 by the authors.

Figure 1
Figure 1. Phase diagram of the Potts model on Td with q = 45, d = 15. The red line indicates the critical line Rc, while the shaded region on the left (resp. right) is the disordered regime Rf (resp. the ordered regime Rw). The remaining white region is the uniqueness regime R=. We write G∗ = (V ∗ , E∗ ) for this augmented graph in which v ∗ is adjacent to every vertex of G. Definition 1.7 (The random cluster measure on a fin… view at source ↗

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

34 extracted references · 31 canonical work pages

  1. [1]

    Thouless, and Phlip W

    Ragi Abou-Chacra, David J. Thouless, and Phlip W. Anderson. A selfconsistent theory of localization. Journal of Physics C: Solid State Physics , 6(10):1734, 1973

  2. [2]

    Random cluster model on regular graphs

    Ferenc Bencs, M \'a rton Borb \'e nyi, and P \'e ter Csikv \'a ri. Random cluster model on regular graphs. Communications in Mathematical Physics , 399:203--248, 2023

  3. [3]

    Ferromagnetic Ising measures on large locally tree-like graphs

    Anirban Basak and Amir Dembo. Ferromagnetic Ising measures on large locally tree-like graphs. Annals of Probability , 45(2):1111--1151, 2017

  4. [4]

    Potts and random cluster measures on locally regular-tree-like graphs

    Anirban Basak, Amir Dembo, and Allan Sly. Potts and random cluster measures on locally regular-tree-like graphs. Preprint, arXiv:2312.16008 , 2023

  5. [5]

    A probabilistic proof of an asymptotic formula for the number of labelled regular graphs

    B \'e la Bollob \'a s. A probabilistic proof of an asymptotic formula for the number of labelled regular graphs. European Journal of Combinatorics , 1(4):311--316, 1980

  6. [6]

    Critical behavior of the annealed Ising model on random regular graphs

    Van Hao Can. Critical behavior of the annealed Ising model on random regular graphs. Journal of Statistical Physics , 168(2):331--347, 2017

  7. [7]

    Annealed limit theorems for the Ising model on random regular graphs

    Van Hao Can. Annealed limit theorems for the Ising model on random regular graphs. Annals of Applied Probability , 29(3):1398--1445, 2019

  8. [8]

    Bootstrap percolation on a bethe lattice

    John Chalupa, Paul L Leath, and Gary R Reich. Bootstrap percolation on a bethe lattice. Journal of Physics C: Solid State Physics , 12(1):L31, 1979

Show all 34 references
  1. [9]

    Metastability of the Potts ferromagnet on random regular graphs

    Amin Coja-Oghlan, Andreas Galanis, Leslie Ann Goldberg, Jean Bernoulli Ravelomanana, Daniel S tefankovi c , and Eric Vigoda. Metastability of the Potts ferromagnet on random regular graphs. Communications in Mathematical Physics , 401(1):185--225, 2023

  2. [10]

    Random cluster models on random graphs

    Van Hao Can and Remco van der Hofstad. Random cluster models on random graphs. arXiv preprint, arXiv:2503.17636 , 2025

  3. [11]

    Lectures on the Ising and Potts models on the hypercubic lattice

    Hugo Duminil-Copin. Lectures on the Ising and Potts models on the hypercubic lattice. In PIMS-CRM Summer School in Probability , pages 35--161. Springer, 2017

  4. [12]

    Ising critical exponents on random trees and graphs

    Sander Dommers, Cristian Giardin\`a, and Remco van der Hofstad. Ising critical exponents on random trees and graphs. Communications in Mathematical Physics , 328(1):355--395, 2014

  5. [13]

    Gibbs measures and phase transitions on sparse random graphs

    Amir Dembo and Andrea Montanari. Gibbs measures and phase transitions on sparse random graphs. Brazilian Journal of Probability and Statistics , 24(2):137--211, 2010

  6. [14]

    Ising models on locally tree-like graphs

    Amir Dembo and Andrea Montanari. Ising models on locally tree-like graphs. The Annals of Applied Probability , 20(2):565--592, 2010

  7. [15]

    Factor models on locally tree-like graphs

    Amir Dembo, Andrea Montanari, and Nike Sun. Factor models on locally tree-like graphs. Annals of Probability , 41(6):4162--4213, 2013

  8. [16]

    The replica symmetric solution for Potts models on d-regular graphs

    Amir Dembo, Andrea Montanari, Allan Sly, and Nike Sun. The replica symmetric solution for Potts models on d-regular graphs. Communications in Mathematical Physics , 327(2):551--575, 2014

  9. [17]

    A Proof of Alon's Second Eigenvalue Conjecture and Related Problems , volume 195 of Memoirs of the American Mathematical Society

    Joel Friedman. A Proof of Alon's Second Eigenvalue Conjecture and Related Problems , volume 195 of Memoirs of the American Mathematical Society . American Mathematical Society, 2008

  10. [18]

    Annealed Potts models on rank-1 inhomogeneous random graphs

    Cristian Giardin\`a, Claudio Giberti, Remco van der Hofstad, Guido Janssen, and Neeladri Maitra. Annealed Potts models on rank-1 inhomogeneous random graphs. arXiv preprint, arXiv:2502.10553 , 2025

  11. [19]

    Grimmett

    Geoffrey R. Grimmett. The Random-Cluster Model , volume 333 of Grundlehren der mathematischen Wissenschaften . Springer, Berlin, 2006

  12. [20]

    Rapid phase ordering for Ising and Potts dynamics on random regular graphs

    Reza Gheissari, Allan Sly, and Youngtak Sohn. Rapid phase ordering for Ising and Potts dynamics on random regular graphs. arXiv preprint, arXiv:2505.15783 , 2025

  13. [21]

    Ferromagnetic Potts model: Refined \#bis-hardness and related results

    Andreas Galanis, Daniel S tefankovi c , Eric Vigoda, and Linji Yang. Ferromagnetic Potts model: Refined \#bis-hardness and related results. SIAM Journal on Computing , 45(6):2004--2065, 2016

  14. [22]

    Finite-size scaling, phase coexistence, and algorithms for the random cluster model on random graphs

    Tyler Helmuth, Matthew Jenssen, and Will Perkins. Finite-size scaling, phase coexistence, and algorithms for the random cluster model on random graphs. Annales de l'Institut Henri Poincare (B) Probabilites et statistiques , 59(2):817--848, 2023

  15. [23]

    Random regular graphs: asymptotic distributions and contiguity

    Svante Janson. Random regular graphs: asymptotic distributions and contiguity. Combinatorics, Probability and Computing , 4(4):369--405, 1995

  16. [24]

    Random graphs

    Svante Janson, Tomasz Luczak, and Andrzej Rucinski. Random graphs . John Wiley & Sons, 2011

  17. [25]

    Asymptotics in percolation on high-girth expanders

    Michael Krivelevich, Eyal Lubetzky, and Benny Sudakov. Asymptotics in percolation on high-girth expanders. Random Structures & Algorithms , 56(4):927--947, 2020

  18. [26]

    Ross A. Maller. A local limit theorem for independent random variables. Stochastic Processes and their Applications , 7(1):101--111, 1978

  19. [27]

    Information, Physics, and Computation

    Marc M \'e zard and Andrea Montanari. Information, Physics, and Computation . Oxford Graduate Texts. Oxford University Press, 2009

  20. [28]

    The weak limit of Ising models on locally tree-like graphs

    Andrea Montanari, Elchanan Mossel, and Allan Sly. The weak limit of Ising models on locally tree-like graphs. Probability Theory and Related Fields , 152(1--2):31--51, 2012

  21. [29]

    Typical sofic entropy and local limits for free group shift systems

    Christopher Shriver. Typical sofic entropy and local limits for free group shift systems. arXiv preprint, arXiv:2308.08041 , 2023

  22. [30]

    Computational transition at the uniqueness threshold

    Allan Sly. Computational transition at the uniqueness threshold. In Proceedings of the 51st Annual IEEE Symposium on Foundations of Computer Science (FOCS) , pages 287--296. IEEE, 2010

  23. [31]

    Counting in two-spin models on d-regular graphs

    Allan Sly and Nike Sun. Counting in two-spin models on d-regular graphs. Annals of Probability , 42(6):2383--2416, 2014

  24. [32]

    Spin-glass on a Bethe lattice

    DJ Thouless. Spin-glass on a Bethe lattice. Physical review letters , 56(10):1082, 1986

  25. [33]

    Models of random regular graphs

    Nicholas C Wormald et al. Models of random regular graphs. London mathematical society lecture note series , pages 239--298, 1999

  26. [34]

    Ising model on locally tree-like graphs: Uniqueness of solutions to cavity equations

    Qian Yu and Yury Polyanskiy. Ising model on locally tree-like graphs: Uniqueness of solutions to cavity equations. IEEE Transactions on Information Theory , 70(3):1913--1938, 2024

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.