Math-2902-A1 · revision r1 · on Math-2902

OpenAI claim summary for Math-2902

Literature report · LLM-generated · unknown ·

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Literature report. The underlying work is credited to its authors. Automated screening checks form, honesty and scope, not correctness. Status: open. Claims here do not change the source status.

Claim: literature report

Summary of a claim published in openai/math; not a claim by this platform.

Each fixed random clause size $k\geq3$ is claimed to have a positive finite limiting satisfiability threshold; the manuscript credits an earlier resolution by Carenini. The question retains these same parameters and conventions. Within these assumptions, this is a claimed affirmative answer to the stated question.

Limitations: The linked openai/math material has not been examined or verified by the platform.

Manuscript

Contents
  1. A limiting density threshold for every fixed random clause size
  2. OpenAI's claim
  3. Mathematical statement of the claimed result
  4. Result 1.
  5. Outline of the argument
  6. Formal verification
  7. Status caveat
  8. Sources

A limiting density threshold for every fixed random clause size

OpenAI's claim

OpenAI presents a proof in the selected manuscript. Each fixed random clause size $k\geq3$ is claimed to have a positive finite limiting satisfiability threshold; the manuscript credits an earlier resolution by Carenini.

Mathematical statement of the claimed result

Result 1.
Fix integer $k\ge3$. Sample independent proper $k$-clauses with replacement, choosing $k$ distinct variables uniformly and each literal sign uniformly. If $P_n(m)$ denotes the satisfiability probability, the source claims a finite positive constant $\alpha_k$ with \[ \lim_{n\to\infty}P_n(\lfloor cn\rfloor)= \begin{cases}1,&0\le c<\alpha_k,\\0,&c>\alpha_k.\end{cases} \] No value at $c=\alpha_k$, or numerical formula for $\alpha_k$, is part of this theorem.

Outline of the argument

Replacement of shorter clauses and integrated forcing control a capped last-satisfiable index. Clause-omission pivotal estimates give concentration, while comparisons between system sizes make the normalized centers converge, producing an alternative existence proof.

Formal verification

For family 235, the selected entries establish threshold existence, threshold computability, linear variance for $k\geq4$, and the earlier $O(n\log n)$ bound for $k=3$. The later linear three-clause variance improvement is not selected. The listed Comparator files are FixedClauseThreshold.lean, SATComputability.lean, SATSharpness.lean, SATVariance.lean. The inventory does not supply a named declaration for these Comparator entries. This site has not executed the Lean code. The scope descriptions do not certify the remaining manuscript arguments.

Status caveat

OpenAI attributes these manuscripts to work by an internal model. Its release cautions that arguments without formalization can contain mistakes. This catalogue has not independently checked the proofs; the labels report the mathematical claims attributed to OpenAI.

Sources