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Record W4405434139 · doi:10.48550/arxiv.2412.10364

Navigating string theory field space with geometric flows

2024· preprint· W4405434139 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuearXiv (Cornell University) · 2024
Typepreprint
Language
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
FundersHigh Energy PhysicsAzrieli FoundationIsrael Science FoundationErwin Schrödinger International Institute for Mathematics and Physics
KeywordsSpace (punctuation)Field (mathematics)String theoryString (physics)Theoretical physicsString field theoryComputer scienceMathematicsGeometryPhysicsPure mathematics

Abstract

fetched live from OpenAlex

The Swampland Distance Conjecture postulates the emergence of an infinite\ntower of massless states when approaching infinite-distance points in moduli\nspace. However, most string backgrounds are supported by fluxes, and therefore\ndepart from the purely geometric paradigm. This fact requires an extension of\nthe Swampland conjectures to scalar field spaces with non-trivial potentials,\nrather than just moduli spaces. To address this task, we utilise geometric\nflows, in particular generalised Ricci flow, to probe the associated scalar\nfield spaces. Considering internal spaces supported by three-form fluxes, we\nfirst show that the distance defined in terms of the Perelman entropy\nfunctional needs to be refined in order to encompass fluxes. Doing so, we\nextend the Ricci Flow Conjecture to include Kalb-Ramond flux besides the metric\nand the dilaton field. This allows us to probe infinite-distance points within\nthese scalar field spaces in a purely geometric way. We subsequently construct\na geometric flow for internal manifolds supported by Ramond-Ramond fluxes and\ndiscuss its role in the Ricci Flow Conjecture. Our analysis suggests that in\nthe presence of fluxes the Distance Conjecture might be better characterised in\nterms of a cost function on the space of metrics, rather than a genuine\ndistance.\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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.004
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.207
Teacher spread0.165 · 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