Theoretical computer science·OpenAI Math·Result 105·Lean formalisation listed

Perfect completeness for 2-to-1 games

One of the 372 results in OpenAI's public mathematics catalogue, filed under theoretical computer science: 1 preprint, the latest dated 23 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and will embed the animation.

Latest paper

Perfect completeness for 2-to-1 games

23 September 2026 · PDF

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What OpenAI claims

Proves Khot's 2-to-1 Games Conjecture with perfect completeness: for every fixed rational δ ∈ (0,1), it is NP-hard to distinguish satisfiable games from games whose optimum is at most δ, on explicit unweighted instances. The alphabet depends only on δ, and every right-hand label has exactly two preimages under each constraint map. (Lean)

Paper

  1. Perfect completeness for 2-to-1 games

    · Preprint, not peer reviewed · PDF

    We prove the 2-to-1 Games Conjecture with perfect completeness. For every fixed rational δ ∈ (0,1), it is NP-hard to distinguish satisfiable 2-to-1 games from games of value at most δ, with a fixed alphabet and an explicitly listed unweighted multiset of constraints.

Status

Preprint. The paper has not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.

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