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Torsion of elliptic curves and unlikely intersections

Algebraic Geometry · Submitted 6 Jun 2017

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

The authors' main claim We study effective versions of unlikely intersections of images of torsion points of elliptic curves on the projective line.

how it is stated · asserted 0.69 read the record →

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arXiv ID1706.01586 (version 1)
Pith IDXOR2WL3R, Pith's permanent record of this paper and its review
CitationFedor Bogomolov, Hang Fu, Yuri Tschinkel. "Torsion of elliptic curves and unlikely intersections." arXiv:1706.01586 (2017). https://pith.science/paper/XOR2WL3R
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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, 1,583 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.06 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

We study effective versions of unlikely intersections of images of torsion points of elliptic curves on the projective line.

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 We study effective versions of unlikely intersections of images of torsion points of elliptic curves on the projective line. contribution 0.99 0.85 0.16 asserted 0.69

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

What was examined, and what was not

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  • P abstract
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  • 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

We study effective versions of unlikely intersections of images of torsion points of elliptic curves on the projective line.

Human review
How the literature uses it

2 arXiv papers cite this in 3 sentences

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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