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Record W4300764654 · doi:10.48550/arxiv.1710.04438

Higher length-twist coordinates, generalized Heun's opers, and twisted\n superpotentials

2017· preprint· en· W4300764654 on OpenAlexfundno aff
Lotte Hollands, Omar Kidwai

Bibliographic record

VenuearXiv (Cornell University) · 2017
Typepreprint
Languageen
FieldChemistry
TopicMolecular spectroscopy and chirality
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMathematicsSuperpotentialRank (graph theory)Parametrization (atmospheric modeling)MonodromyPure mathematicsTwistAction-angle coordinatesMathematical physicsMathematical analysisGeometryGeneralized coordinatesPhysicsCombinatoricsQuantum mechanicsSupersymmetry

Abstract

fetched live from OpenAlex

In this paper we study a proposal of Nekrasov, Rosly and Shatashvili that\ndescribes the effective twisted superpotential obtained from a class S theory\ngeometrically as a generating function in terms of certain complexified\nlength-twist coordinates, and extend it to higher rank. First, we introduce a\nhigher rank analogue of Fenchel-Nielsen type spectral networks in terms of a\ngeneralized Strebel condition. We find new systems of spectral coordinates\nthrough the abelianization method and argue that they are higher rank analogues\nof the Nekrasov-Rosly-Shatashvili Darboux coordinates. Second, we give an\nexplicit parametrization of the locus of opers and determine the generating\nfunctions of this Lagrangian subvariety in terms of the higher rank Darboux\ncoordinates in some specific examples. We find that the generating functions\nindeed agree with the known effective twisted superpotentials. Last, we relate\nthe approach of Nekrasov, Rosly and Shatashvili to the approach using quantum\nperiods via the exact WKB method.\n

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.210
Teacher spread0.149 · 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 teacher head, not a consensus.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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