OpenAI claim summary for Math-2913
mathematicsTop Open Problemscontributionliterature_reportClaim: literature report
Summary of a claim published in openai/math; not a claim by this platform.
For each fixed $\beta>1$, typical SK equilibrium configurations held as starts are claimed to remain unmixed until at least $\exp(n^{1/10000})$. The question retains these same parameters and conventions. Within these assumptions, this is a claimed affirmative answer to the stated question.
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Manuscript
Contents
Stretched-exponential mixing barriers for typical low-temperature SK starts
OpenAI's claim
OpenAI presents a proof in the selected manuscript. For each fixed $\beta>1$, typical SK equilibrium configurations held as starts are claimed to remain unmixed until at least $\exp(n^{1/10000})$.Mathematical statement of the claimed result
Result 1.
For independent standard Gaussian $J_{ij}$, $i<j$, with $J_{ji}=J_{ij},J_{ii}=0$, use the zero-field SK measure \[ \pi_{n,\beta}^J(x)=Z^{-1}\exp\left(\frac\beta{\sqrt n}\sum_{i<j}J_{ij}x_ix_j\right),\qquad x\in\{-1,1\}^n. \] Continuous heat-bath dynamics refreshes every site at rate one; a discrete step refreshes one uniformly selected site, including attempts that retain its spin. For fixed $\beta>1$, sample $x_0$ from $\pi_{n,\beta}^J$ and then use its realized value as the initial state. With $d^J(x,t)$ and $d_{\mathrm{disc}}^J(x,k)$ the corresponding total-variation distances, and $\kappa=1/10000$, \[ \mathbb P_{J,x_0\sim\pi}\{d^J(x_0,e^{n^\kappa})>1/4\}\to1,\qquad \mathbb P_{J,x_0\sim\pi}\{d_{\mathrm{disc}}^J(x_0,\lfloor e^{n^\kappa}\rfloor)>1/4\}\to1. \] The probability averages the interactions and the initial Gibbs sample; each transition-law distance holds the sample fixed.Outline of the argument
Quantitative Parisi and constrained-overlap bounds produce a locked overlap sign around a reference sample. Disorder rotation and narrow-annulus coverage control rare sign-passage paths over the stretched-exponential horizon; spin reversal gives an equilibrium half-space that those paths cannot reach.Formal verification
For family 227, the selected statements include the high-temperature gap for $\beta<1$, cutoff ratios only for $\beta<1/2$, critical lower mixing scales with a subexponential upper bound, and low-temperature barriers. They do not provide the full critical exponent, the full cutoff location, or the newer autocorrelation limits. The listed Comparator files areCriticalSK.lean, CriticalSKMixing.lean, SKBarriers.lean, SKHighTemperature.lean, SKRatio.lean. Named declarations include OAI.CriticalSK.covariance_and_linear_tests, OAI.CriticalSK.critical_mixing_bounds. 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, Stretched-exponential barriers for typical SK initial states, 2026-09-24; citation key
OAI:Stretched-exponential-barriers-for-typical-SK-initial-states-September-24-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 227: Lean scope.
- Comparator CriticalSK.json.
- Comparator CriticalSK.lean.
- Comparator CriticalSKMixing.json.
- Comparator CriticalSKMixing.lean.
- Comparator SKBarriers.json.
- Comparator SKBarriers.lean.
- Comparator SKHighTemperature.json.
- Comparator SKHighTemperature.lean.
- Comparator SKRatio.json.
- Comparator SKRatio.lean.
- OpenAI catalogue entry.