lean artifact · pending
Artifact ↗The asymptotic Gotsman-Linial conjecture on average sensitivity of polynomial threshold functions
Theorem 1.1: for , and a real multilinear polynomial of degree at most , with has ; the constant is absolute and may grow with . Symmetric examples show the order is sharp for . It removes the polylogarithmic loss in Kane's bound. It makes no claim about the exact extremizers of the original Gotsman-Linial proposal (already refuted by Chapman and by Kim-Maldonado-Wellens) and does not address non-uniform distributions.
Exact FrontierDelta
Scope and record
Occurred: Sep 25, 2026
Delta type: SOURCE CLAIM
Assumptions: VibeMathed verification: lean-checked. Publication: announcement. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.
Canonical aliases: The asymptotic Gotsman-Linial conjecture on average sensitivity of polynomial threshold functions · Gotsman-Linial conjecture (asymptotic)
Confidence: Not scored
Registry verification: lean checked · announcement · candidate
Attribution
VibeMathed
registry · event recorded by
Unreleased internal OpenAI model
model · ai model contributor · OpenAI
Artifacts and verifiers
lean artifact · pending
Artifact ↗Compute record
No linked compute attempts recorded.
Lineage and corrections
Lean proof (OAI.LeanBlast.GotsmanLinial.gotsmanLinialStatement) evidence for this event
The asymptotic Gotsman-Linial conjecture on average sensitivity of polynomial threshold functions evidence for this event
VibeMathed record: The asymptotic Gotsman-Linial conjecture on average sensitivity of polynomial threshold functions evidence for this event
This event attributed to Unreleased internal OpenAI model
The asymptotic Gotsman-Linial conjecture on average sensitivity of polynomial threshold functions parent of this event
Theorem 1.1: for , and a real multilinear polynomial of degree at most , with has ; the constant is absolute and may grow with . Symmetric examples show the order is sharp for . It removes the polylogarithmic loss in Kane's bound. It makes no claim about the exact extremizers of the original Gotsman-Linial proposal (already refuted by Chapman and by Kim-Maldonado-Wellens) and does not address non-uniform distributions. parent of this event
Comparator statement: GotsmanLinial.lean evidence for this event
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