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Research / Oct 6, 2026

Additive hardness and unbounded configuration gaps in bin packing

Can the mathematical statement in Additive hardness and unbounded configuration gaps in bin packing 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 118)

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 'Additive hardness and unbounded configuration gaps in bin packing'. We disprove the Modified Integer Round-Up Conjecture for bin packing by constructing instances with arbitrarily large additive gaps between the configuration-LP value and the integral optimum. We also prove that, for every fixed nonnegative integer c, distinguishing instances that fit in B bins from those requiring more than B+c bins is NP-hard. Both results hold with rational item sizes greater than 1/6, so each bin contains at most five items.

Source read 2026-10-08. Cataloged from OpenAI's formalization.yaml (Family 118). The Lean development was not rebuilt locally.