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Record W4412901852 · doi:10.1609/socs.v18i1.36017

Frontmatter

2025· article· en· W4412901852 on OpenAlexfundno aff
Maxim Likhachev, Hana Rudová, Enrico Scala

Bibliographic record

VenueProceedings of the International Symposium on Combinatorial Search · 2025
Typearticle
Languageen
FieldComputer Science
TopicSemantic Web and Ontologies
Canadian institutionsnot available
FundersRoyal Holloway, University of LondonUniversitat Politècnica de ValènciaUniversity of California, IrvineUniversità degli Studi di UdineRWTH Aachen UniversitySyddansk UniversitetUniversidad Carlos III de MadridBen-Gurion University of the NegevShanghai Jiao Tong UniversityUniversität KonstanzTechnische Universität WienUniversità degli Studi di TrentoLinköpings UniversitetUniversità degli Studi di BresciaBar-Ilan UniversityFondazione Bruno KesslerUniversität StuttgartUniversität des SaarlandesTechnische Universiteit DelftMonash UniversityUniversity of AucklandAmazon RoboticsUniversity of TorontoUniversity of GlasgowUniversity of South CarolinaInstitute of Software, Chinese Academy of SciencesHelsingin YliopistoUniversity of AlbertaSimon Fraser UniversityUniversität BaselChinese Academy of SciencesUniversity of California, Los AngelesMasarykova UniverzitaČeské Vysoké Učení Technické v PrazeUniversity of OxfordRMIT UniversityMississippi State UniversityCarnegie Mellon UniversityUniverzita Karlova v PrazeUniversity of Southern California
KeywordsComputer science

Abstract

fetched live from OpenAlex

This frontmatter introduces the proceedings of the Eighteenth International Symposium on Combinatorial Search (SoCS 2025), held from August 12–15, 2025, in Scotland, United Kingdom. It includes a preface by the conference co-chairs—Maxim Likhachev, Hana Rudová, and Enrico Scala—along with details on the Best Paper Awards, the organizing and program committees, and the sponsors of this edition.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.140
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0090.007
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.8600.762

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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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