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Record W4413241235 · doi:10.1002/rsa.70026

Sidorenko‐Type Inequalities for Pairs of Trees

2025· article· en· W4413241235 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRandom Structures and Algorithms · 2025
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Graph Theory Research
Canadian institutionsUniversity of VictoriaMcGill University
FundersDivision of Mathematical SciencesNatural Sciences and Engineering Research Council of CanadaMitacsPacific Institute for the Mathematical SciencesUniversity of Victoria
KeywordsHomomorphismMathematicsCombinatoricsVertex (graph theory)Path (computing)Type (biology)GraphDiscrete mathematicsComputer science

Abstract

fetched live from OpenAlex

ABSTRACT Given two non‐empty graphs and , write to mean that for every graph , where is the homomorphism density function. We obtain various necessary and sufficient conditions for two trees and to satisfy and determine all such pairs on at most 8 vertices. This extends the results of Leontovich and Sidorenko from the 1980s and 1990s. Our approach applies an information‐theoretic technique to reduce the problem of showing that for two forests and to solving a linear program of Kopparty and Rossman (2011). We also characterize trees which satisfy or , where is the ‐vertex star and is the 4‐vertex path and resolve a problem of Csikvári and Lin (2015).

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.309
Teacher spread0.290 · 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