What was already known
Finite-size critical stationary autocorrelation scaling had numerical support and a companion stationary theorem; earlier soft-spin and spherical quench results used different models or asymptotic regimes.
AI involvement
OpenAI credits itself as manuscript author and states that its internal frontier model produced the results in this release. Individual human input is not detailed enough to establish task-only autonomy.
OpenAI is named as author on the manuscript, and its release attributes the results to an internal frontier model. The individual human input is not detailed enough to establish autonomy.
Importance
Identifies a common random finite-size critical relaxation process for two coupling laws.
Limitations
The result uses rate-one clocks at every site and positive waiting times and lags. The linked Lean scope checks separate high-temperature or mixing-barrier claims, not this critical quench functional limit.
Technical verification
Reported is the default when evidence for a higher level is insufficient. The OpenAI-authored manuscript reports and argues the result, but the reviewed sources do not document a completed check of the full assessed claim.
Human understanding
Few is the default when evidence for a higher level is insufficient. No named person is documented as explaining the central argument for this assessed contribution.
Correction and publication history
Primary manuscript, attribution, prior-work, and precise Lean-scope or conditional-input review for non-notifying local inclusion.
Read this published revision