What was already known
Krauth and Mézard predicted α★ in 1989. Ding and Sun's lower bound and Huang's upper bound were conditional on global sign conditions; Huang had interval-verified other numerical inputs but not Condition 1.3, and earlier evidence for the outstanding signs used nonrigorous floating-point calculations.
AI involvement
Shmalo set the objective and reviewed the mathematics. Claude Fable 5 developed the central analytic reduction and verification approach; Codex audited and repaired verification blocks. The paper does not identify a completed human check of the entire analytic argument.
The source explicitly says the systems operated for extended unattended sessions and selected mathematical approaches after the author set the objective; Fable 5 supplied the named central architecture.
Importance
Reports closure of the two outstanding conditions behind the Krauth–Mézard capacity prediction.
Limitations
The capacity statement is for the zero-margin Ising perceptron under Gaussian and fixed standardized subgaussian disorder. Interval certificates cover numerical conditions, while the analytic reduction is a paper proof without a documented complete check.
Technical verification
Arb/python-flint interval certificates and source-bound verifiers cover the parameter rectangle and finite inequalities for both outstanding conditions, with a second-system audit and corrected cross-check errors. The moment reduction, convex duality and ray-majorant implications are paper proofs rather than machine-checked statements; the paper itself says the package was not independently reproduced or peer reviewed. A completed rigorous check of the whole analytic argument is not documented.
Human understanding
Shmalo reports supervision and mathematical review, but the central mechanism and initial explanation were model-produced; no named independent human explanation of it is documented. Few is the evidence default.
Correction and publication history
Reports closure of the two outstanding conditions behind the Krauth–Mézard capacity prediction.
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