lean artifact · pending
Artifact ↗The Friedgut-Kalai sharp-threshold conjecture: threshold width O(1/log^2 n) for monotone graph properties
Theorem 1.1: for every , nontrivial increasing vertex-symmetric graph property and , . It follows from Theorem 1.2, for every vertex-symmetric Boolean and every , without monotonicity, which removes the loss of Kelman-Kindler-Lifshitz-Minzer-Safra at . The order is optimal for fixed (clique example). Not shown: the best constant, or where thresholds lie (a different question).
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 Friedgut-Kalai sharp-threshold conjecture: threshold width O(1/log^2 n) for monotone graph properties · Friedgut-Kalai threshold width, graphs
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
Comparator statement: SharpThreshold.lean evidence for this event
Friedgut-Kalai, Every monotone graph property has a sharp threshold (1996) evidence for this event
The Friedgut-Kalai threshold-width conjecture for r-uniform hypergraph properties evidence for this event
The Friedgut-Kalai sharp-threshold conjecture: threshold width O(1/log^2 n) for monotone graph properties parent of this event
This event attributed to Unreleased internal OpenAI model
Lean proof module (OAI.Problem313.sharp_threshold_width) evidence for this event
Theorem 1.1: for every , nontrivial increasing vertex-symmetric graph property and , . It follows from Theorem 1.2, for every vertex-symmetric Boolean and every , without monotonicity, which removes the loss of Kelman-Kindler-Lifshitz-Minzer-Safra at . The order is optimal for fixed (clique example). Not shown: the best constant, or where thresholds lie (a different question). parent of this event
VibeMathed record: The Friedgut-Kalai sharp-threshold conjecture: threshold width O(1/log^2 n) for monotone graph properties evidence for this event
Companion: A Sharp Threshold Bound for Monotone Graph Properties evidence for this event
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