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Record W2963639953 · doi:10.1214/22-aihp1314

Uniform convergence to the Airy line ensemble

2023· article· fr· W2963639953 on OpenAlexaff
Duncan Dauvergne, Mihai Nica, Bálint Virág

Bibliographic record

VenueAnnales de l Institut Henri Poincaré Probabilités et Statistiques · 2023
Typearticle
Languagefr
FieldMathematics
TopicRandom Matrices and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesMathematicsBernoulli's principleUniform convergenceCombinatoricsPhysicsPhilosophyComputer science

Abstract

fetched live from OpenAlex

Nous montrons que les modèles intégrables classiques de percolation de dernier passage, et les marches aléatoires non-intersectantes associées, convergent uniformément sur tout compact vers l’ensemble de lignes d’Airy. Le coeur de notre approche est de montrer la convergence de marches aléatoires de Bernoulli non-intersectantes, dans toutes les directions possibles de l’espace des paramètres. Nous utilisons ensuite des arguments de couplage afin d’étendre la convergence à d’autres modèles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.372
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2023
Admission routes1
Has abstractyes

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