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Linear Variance of the Random 3-SAT Hitting Time

OpenAI · October 5, 2026

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Abstract

For random 3-SAT on n Boolean variables, with independent uniformly signed clauses on three distinct variables sampled with replacement, we prove that the first unsatisfiable prefix has variance $\Theta(n)$. The upper bound removes the logarithmic loss in the earlier variance estimate; the matching lower bound follows from Wilson's transition-width theorem.

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Cite

@misc{OAI:Linear-Variance-of-the-Random-3-SAT-Hitting-Time-October-5-2026,
  author = {{OpenAI}},
  title = {{Linear Variance of the Random 3-SAT Hitting Time}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/Linear-Variance-of-the-Random-3-SAT-Hitting-Time-October-5-2026/linear-variance-of-the-random-3-sat-hitting-time.pdf}{OAI:Linear-Variance-of-the-Random-3-SAT-Hitting-Time-October-5-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/235.md. The Lean statements have not been checked by people against the paper's claims.

Family 235: Limiting random SAT thresholds, sharp variance and computability

For random k-SAT with independent uniformly signed proper clauses sampled with replacement, proves finite positive limiting thresholds and hitting-time variance $\Theta_k(n)$ for every fixed k ≥ 3, and computability of the 3-SAT threshold. We credit Gaia Carenini with priority for resolving the threshold-existence conjecture in her concurrent ECCC TR26-229, made public October 5, 2026; this family supplies another proof and the sharper variance and computability results.

Other papers in this family: