OpenAI claim summary for Math-2342
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Summary of a claim published in openai/math; not a claim by this platform.
The main theorem identifies the pressure infimum over finite hierarchical cavity trial laws for the even-arity Panchenko–Talagrand factorized integrable positive dilute Ising class. This answers the corresponding sparse-spin-glass variational clause, but not every model or the bundled differential-equation, direct ferromagnetic subadditivity, and Legendre-structure questions. This entry records partial support; complete coverage of the question is not established by this catalogue.
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Manuscript
Contents
Variational Principles for Dilute Spin Systems
OpenAI's claim
OpenAI presents a mathematical result relevant to this question in the selected manuscript. For diluted even-arity Ising interactions in the Panchenko--Talagrand class, the limiting pressure is claimed to equal the infimum of finite hierarchical cavity trial values under first-moment integrability.Mathematical statement of the claimed result
Result 1.
Fix even $p\ge2$, $\alpha>0$, independent $M_N\sim\operatorname{Pois}(\alpha N)$, interaction copies $\theta_k$, field copies $h_i$, and uniformly sampled vertex indices with replacement. Set \[ -H_N(\sigma)=\sum_{k=1}^{M_N}\theta_k(\sigma_{i_{1,k}},\ldots,\sigma_{i_{p,k}})+\sum_i h_i\sigma_i, \quad F_N=N^{-1}\mathbb E\log\sum_{\sigma\in\{\pm1\}^N}e^{-H_N(\sigma)}. \] Assume $\mathbb E\max_s|\theta(s)|+\mathbb E|h|<\infty$, and a factorization \[ e^{\theta(s)}=a\left(1+b\prod_{\ell=1}^pf_\ell(s_\ell)\right),\quad a>0,\quad|b\prod_\ell f_\ell(s_\ell)|<1,\quad \mathbb E(-b)^n\in[0,\infty)\quad(n\ge1), \] where the $f_\ell$ are iid random functions and independent of $b$. The claimed exact pressure is \[ \lim_{N\to\infty}F_N=\inf_{r\ge0}\Phi_r. \] To define $\Phi_r$, put $q_x(s)=e^{xs}/(2\cosh x)$ and \[ C_\theta(x_1,\ldots,x_p)=\sum_{s\in\{\pm1\}^p}e^{\theta(s)}\prod_{\ell=1}^pq_{x_\ell}(s_\ell),\quad U_\theta(x_1,\ldots,x_{p-1};\epsilon)=\log\sum_{s\in\{\pm1\}^{p-1}}e^{\theta(s,\epsilon)}\prod_{\ell<p}q_{x_\ell}(s_\ell). \] Let $\mathcal M_1=\mathcal P(\mathbb R)$ and $\mathcal M_{j+1}=\mathcal P(\mathcal M_j)$, with $\mathcal P$ denoting Borel probability laws. For depth $r\ge1$, choose $\zeta\in\mathcal M_{r+1}$ and $0<m_1<\cdots<m_r<1$. Every independent message label follows $\eta_0\sim\zeta$, $\eta_{d+1}\mid\eta_d\sim\eta_d$ for $0\le d\le r-2$, then $x\mid\eta_{r-1}\sim\eta_{r-1}$. These variables are independent of physical disorder. With independent $k\sim\operatorname{Pois}(\alpha p)$, copies $\theta_j$ and field $h$, set \[ V_{\mathrm s}=\tfrac12\sum_{\epsilon=\pm1}\exp\left(h\epsilon+\sum_{j=1}^kU_{\theta_j}(x_1^j,\ldots,x_{p-1}^j;\epsilon)\right),\quad V_{\mathrm e}=C_\theta(x_1,\ldots,x_p). \] Define $\mathcal F_d$ to contain physical disorder and all message ancestors through depth $d$. Starting at $T_rV=V$, recurse \[ T_dV=\left(\mathbb E[(T_{d+1}V)^{m_{d+1}}\mid\mathcal F_d]\right)^{1/m_{d+1}},\quad \Phi_r=\inf_{\zeta,\boldsymbol m}\left(\log2+\mathbb E\log T_0V_{\mathrm s}-\alpha(p-1)\mathbb E\log T_0V_{\mathrm e}\right). \] At depth zero take iid real messages with law $\zeta$ and omit the power means. Interaction and field laws remain fixed as $N$ varies. Distinct interactions, field samples, Poisson counts and sampled indices are independent; message samples are also independent of this physical disorder.Outline of the argument
Finite auxiliary replica trees and bounded perturbations concentrate all finite multioverlaps on average over branching depths. A delayed-branching induction controls the cavity expansion before messages are redrawn independently; system size is sent to infinity before hierarchy depth.Formal verification
For family 221, the documented theorem identifies pressure with the finite-hierarchy cavity infimum for the specified even-arity class and its factorization, positivity, and integrability assumptions. The listed Comparator files areDilutedSpin.lean. The inventory does not supply a named declaration for these Comparator entries. This site has not executed the Lean code. The scope descriptions do not certify the remaining manuscript arguments.Status caveat
OpenAI attributes these manuscripts to work by an internal model. Its release cautions that arguments without formalization can contain mistakes. This catalogue has not independently checked the proofs; the labels report the mathematical claims attributed to OpenAI.Sources
- OpenAI, The Mézard–Parisi formula for diluted spin glasses, 2026-09-23; citation key
OAI:The-Mezard-Parisi-formula-for-diluted-spin-glasses-September-23-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: main:theorem. - Family 221: Lean scope.
- Comparator DilutedSpin.json.
- Comparator DilutedSpin.lean.
- Family 221: Reasoning summary.
- OpenAI catalogue entry.