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On M-theory on Real Toric Fibrations

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A. Belhaj, H. Belmahi, M. Benali, S-E. Ennadifi, Y. Hassouni, Y. Sekhmani

High Energy Physics - Theory · Submitted 18 Jun 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Using topological changing behaviors, we unveil certain data associated with gauge sectors relying on affine Lie symmetries.

how it is stated · asserted 0.99 read the record →

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arXiv ID2106.10071 (version 1)
Pith IDKTDRQNGF, Pith's permanent record of this paper and its review
CitationA. Belhaj, H. Belmahi, M. Benali, S-E. Ennadifi, Y. Hassouni, Y. Sekhmani. "On M-theory on Real Toric Fibrations." arXiv:2106.10071 (2021). https://pith.science/paper/KTDRQNGF
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,494 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.10 · human participants 0.01 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.66 · mentions code or data availability 0.01.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Borrowing ideas from elliptic complex geometry, we approach M-theory compactifications on real toric fibrations. Precisely, we explore real toric equations rather than complex ones exploited in F-theory and related dual models. These geometries have been built by moving real circles over real bases. Using topological changing behaviors, we unveil certain data associated with gauge sectors relying on affine Lie symmetries.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Borrowing ideas from elliptic complex geometry, we approach M-theory compactifications on real toric fibrations. contribution 0.86 0.81 0.06 asserted 0.96
s1 Precisely, we explore real toric equations rather than complex ones exploited in F-theory and related dual models. contribution 0.76 0.75 0.07 asserted 0.99
s2 These geometries have been built by moving real circles over real bases. background 0.59 0.22 0.05 asserted 1.00
s3 Using topological changing behaviors, we unveil certain data associated with gauge sectors relying on affine Lie symmetries. result 0.81 0.89 0.47 asserted 0.99

What kind of paper the classifier reports this is: theoretical result 0.79 · evidence from proof or derivation 0.76.

What was examined, and what was not

sources read
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not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Borrowing ideas from elliptic complex geometry, we approach M-theory compactifications on real toric fibrations. Precisely, we explore real toric equations rather than complex ones exploited in F-theory and related dual models. These geometries have been built by moving real circles over real bases. Using topological changing behaviors, we unveil certain data associated with gauge sectors relying on affine Lie symmetries.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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