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Record W4290607550 · doi:10.21468/scipost.report.4075

Report on 2107.14637v2

2021· peer-review· en· W4290607550 on OpenAlexafffund
Yin-Chen He, Junchen Rong, Ning Su

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsPerimeter Institute
FundersMinistry of Colleges and UniversitiesInstitut Périmètre de physique théoriqueIndustry CanadaDeutsche ForschungsgemeinschaftEuropean CommissionGovernment of Canada
KeywordsComputer science

Abstract

fetched live from OpenAlex

We apply the conformal bootstrap technique to study the U (1) Dirac spin liquid (i.e.N f = 4 QED 3 ) and the newly proposed N = 7 Stiefel liquid (i.e. a conjectured 3d non-Lagrangian CFT without supersymmetry).For the N f = 4 QED 3 , we focus on the monopole operator and (SU (4) adjoint) fermion bilinear operator.We bootstrap their single correlators as well as the mixed correlators between them.We first discuss the bootstrap kinks from single correlators.Some exponents of these bootstrap kinks are close to the expected values of QED 3 , but we provide clear evidence that they should not be identified as the QED 3 .We then provide rigorous numerical bounds for the Dirac spin liquid and the N = 7 Stiefel liquid to be stable critical phases on the triangular and kagome lattice.For the triangular and kagome Dirac spin liquid, the rigorous lower bounds of the monopole operator's scaling dimension are 1.046 and 1.105, respectively.These bounds are consistent with the latest Monte Carlo results.

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 categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.999
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9060.881

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 head0.035
GPT teacher head0.312
Teacher spread0.278 · 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.

Study designNot applicable
DomainEvaluation
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
Published2021
Admission routes2
Has abstractyes

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