Central limit theorem for the random assignment problem
Claims the central limit theorem for the bipartite random assignment problem with bounded uniform costs: . The limiting constant is not itself new - Wästlund had computed exactly for the mean-one exponential model, and Malatesta, Parisi and Sicuro derived the non-bipartite analogue by replicas - but neither is a proof for the bounded bipartite model, and Wästlund's zero-free-disk conjecture, which would imply a Gaussian limit, remains open. So the value was expected; the proof of convergence to it is what is claimed. The route is an exact change of variables on an optimal dual potential, after which the residual dependence is a single directed-tree factor whose matrix-tree determinant becomes triangular once the potentials are ordered.
Exact FrontierDelta
Scope and record
Occurred: Oct 29, 2026
Delta type: REGISTRY REVISION
Assumptions: VibeMathed verification: unreviewed. Publication: preprint. AI contribution: ai-co-developed. 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: Central limit theorem for the random assignment problem · CLT for random assignment
Confidence: Not scored
Registry verification: unreviewed · preprint · resolved
Attribution
VibeMathed
registry · event recorded by
ChatGPT 5.6
model · ai model contributor · OpenAI
Opus 5
model · ai model contributor · Anthropic
Gilles Mordant
human · human collaborator
Lineage and corrections
Corrects Central limit theorem for the random assignment problem →
Supersedes Central limit theorem for the random assignment problem →
VibeMathed record: Central limit theorem for the random assignment problem evidence for this event
This event attributed to ChatGPT 5.6
Central limit theorem for the random assignment problem parent of this event
Aldous, The zeta(2) limit in the random assignment problem evidence for this event
This event attributed to Gilles Mordant
Claims the central limit theorem for the bipartite random assignment problem with bounded uniform costs: . The limiting constant is not itself new - Wästlund had computed exactly for the mean-one exponential model, and Malatesta, Parisi and Sicuro derived the non-bipartite analogue by replicas - but neither is a proof for the bounded bipartite model, and Wästlund's zero-free-disk conjecture, which would imply a Gaussian limit, remains open. So the value was expected; the proof of convergence to it is what is claimed. The route is an exact change of variables on an optimal dual potential, after which the residual dependence is a single directed-tree factor whose matrix-tree determinant becomes triangular once the potentials are ordered. parent of this event
This event attributed to Opus 5
Central limit theorem for the random assignment problem evidence for this event
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