The Friedgut-Kalai threshold-width conjecture for r-uniform hypergraph properties
Theorem 1.1: for each there is with for every relabelling-invariant Boolean property of -uniform hypergraphs, every and every , without monotonicity. Corollary 4.1: for nontrivial increasing properties the width from to is . Not shown: explicit constants or sharpness examples for each .
Exact FrontierDelta
Scope and record
Occurred: Oct 5, 2026
Delta type: SOURCE CLAIM
Assumptions: VibeMathed verification: unreviewed. 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 threshold-width conjecture for r-uniform hypergraph properties · Friedgut-Kalai threshold width, hypergraphs
Confidence: Not scored
Registry verification: unreviewed · announcement · candidate
Attribution
VibeMathed
registry · event recorded by
Unreleased internal OpenAI model
model · ai model contributor · OpenAI
Lineage and corrections
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
VibeMathed record: The Friedgut-Kalai threshold-width conjecture for r-uniform hypergraph properties evidence for this event
This event attributed to Unreleased internal OpenAI model
Theorem 1.1: for each there is with for every relabelling-invariant Boolean property of -uniform hypergraphs, every and every , without monotonicity. Corollary 4.1: for nontrivial increasing properties the width from to is . Not shown: explicit constants or sharpness examples for each . parent of this event
The Friedgut-Kalai threshold-width conjecture for r-uniform hypergraph properties parent of this event
Companion: A Sharp Threshold Bound for Monotone Graph Properties evidence for this event
Act on this frontier