∑math20

Theoretical computer science · Result 136

A quasilinear PCP theorem for PPAD

1 paper

Resolves the quasilinear PCP-for-PPAD conjecture. An End-of-Line instance of length N reduces to numerical circuit constraints of total length \(N(\log N)^{O(1)}\) such that any polynomially encoded rational assignment satisfying all but a fixed fraction to fixed accuracy yields an endpoint solution. Such assignments always exist, giving robust local verification with only quasilinear size overhead.

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▶Introduction: the problem and why it mattersin preparation
▶The presented solutionin preparation

Papers 1

First page of The PCP-for-PPAD conjecture: a quasilinear reduction

The PCP-for-PPAD conjecture: a quasilinear reduction

OpenAI · September 25, 2026

We prove the quasilinear-size PCP-for-PPAD conjecture of Babichenko, Papadimitriou, and Rubinstein. There are fixed positive rational constants ε and δ and a deterministic polynomial-time reduction that transforms an End-of-Line instance of binary length N into a generalized circuit of total binary length \(N(\log N)^{O(1)}\). From any rational assignment of polynomial encoding length that ε-satisfies all but a δ fraction of the gates, a solution to the original End-of-Line instance can be recovered in polynomial time, regardless of which gates fail. Such assignments always exist, with one fixed polynomial bound on their encoding length.

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@misc{OAI:The-PCP-for-PPAD-conjecture-a-quasilinear-reduction-September-25-2026,
  author = {{OpenAI}},
  title = {{The PCP-for-PPAD conjecture: a quasilinear reduction}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/The-PCP-for-PPAD-conjecture-a-quasilinear-reduction-September-25-2026/paper.pdf}{OAI:The-PCP-for-PPAD-conjecture-a-quasilinear-reduction-September-25-2026}},
  year = {2026}
}

Formal verification

No Lean formalization is listed for this result yet. The repository notes that unformalized results could have issues.