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Research / Oct 6, 2026

Midpoint lenses in segment spaces

Can the mathematical statement in Midpoint lenses in segment spaces be proved and verified machine-checked in Lean?

Model / AI: OpenAI (unreleased)

machine-checked (formal proof)self-reported (formal proof)
Oct 6, 2026

Lean formalization in OpenAI math repository (Result 331)

Model / AI: OpenAI (unreleased)

machine-checked (formal proof)self-reported (formal proof)

OpenAI's internal frontier model proved and formalized in Lean the main result of 'Midpoint lenses in segment spaces'. For a real segment-forest dual with unbounded finite component heights and the real infinite-height coordinate predual, we bound the tail of an arbitrary displacement in a symmetric lens by 2\sqrt{R^2-\|x\|^2}, where R is the lens radius and x is its finitely supported center. Both given norms are asymptotically midpoint uniformly convex, although neither space admits an equivalent asymptotically uniformly convex norm. The finite-height forest dual is reflexive.

Source read 2026-10-08. Cataloged from OpenAI's formalization.yaml (Family 331). The Lean development was not rebuilt locally.