OpenAI reports filtered-product nullity from complex cobordism

For a finite pointed CW pair G ⊂ E and based map v:E→Sᵈ whose restriction to G becomes null after passage to complex cobordism, the restriction of a sufficiently large smash power v∧ℓ to the union where any fixed positive fraction of factors lie in G is stably null. The paper also derives a boundary-preserving cube compression theorem from a torus-slot bundle embedding of rank strictly below twice the source rank.

Sources for this record

What was already known

The Devinatz–Hopkins–Smith nilpotence theorem and a quantitative connective form developed by Mathew provide the stable-homotopy background. Prior stable obstruction criteria for sections worked in connectivity ranges, and Hirshberg–Phillips used complementary-bundle Chern obstructions for radius-of-comparison lower bounds; this manuscript adds a nullhomotopy coherent over the whole filtered union and the relative support needed for the compression (manuscript Section 1.3, p. 3).

AI involvement AI-led

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 Notable

Provides a coherent filtered-product vanishing theorem and a geometric compression criterion for arbitrarily large Cartesian powers, including compact metric inputs without a dimension bound.

Limitations

The filtered-product theorem requires a finite pointed CW pair and MU-null restriction. Cube compression additionally requires the paper’s torus-slot bundle embedding with a strict rank inequality; the identity-cube example shows equality is insufficient for the general criterion.

Technical verification Reported

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

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

2026-10-18 · publication

Primary manuscript, attribution, and prior-work review for non-notifying local inclusion.

Read this published revision