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Record W3206978967 · doi:10.2140/agt.2023.23.2895

Bifiltrations and persistence paths for 2–Morsefunctions

2023· article· en· W3206978967 on OpenAlexafffund
Ryan Budney, Tomasz Kaczyński

Bibliographic record

VenueAlgebraic & Geometric Topology · 2023
Typearticle
Languageen
FieldComputer Science
TopicTopological and Geometric Data Analysis
Canadian institutionsUniversité de SherbrookeUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMathematicsHomotopyMorse codePersistent homologyFiltration (mathematics)Pure mathematicsMorse theoryPath (computing)Persistence (discontinuity)Homology (biology)Topology (electrical circuits)CombinatoricsAlgorithmComputer science

Abstract

fetched live from OpenAlex

We study the homotopy type of bifiltrations of compact manifolds induced as the preimage of filtrations of R 2 for generic smooth functions f W M !R 2 .The primary goal of the paper is to allow for a simple description of the multigraded persistent homology associated to such filtrations.Our main result is a description of the evolution of the bifiltration of f in terms of cellular attachments.Analogs of the Morse-Conley equation and Morse inequalities along so-called persistence paths are derived, and a scheme for computing pathwise barcodes is proposed.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.041
GPT teacher head0.262
Teacher spread0.221 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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