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Jet observables in hadronic dijet production

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Andrea Banfi

High Energy Physics - Phenomenology · Submitted 15 Sep 2003

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

The authors' main claim As an application we obtain the first next-to-leading logarithmic distributions for event shapes in hadronic dijet production.

how it is stated · asserted 1.00 read the record →

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arXiv IDhep-ph/0309161 (version 1)
Pith IDEKZD6FPJ, Pith's permanent record of this paper and its review
CitationAndrea Banfi. "Jet observables in hadronic dijet production." arXiv:hep-ph/0309161 (2003). https://pith.science/paper/EKZD6FPJ
Claim paper

The compiled record

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.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,249 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.88 · states limitation 0.07 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.14 · mentions code or data availability 0.16.

The abstract, sentence by sentence

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

We present a numerical program, CAESAR, that allows us to resum large logarithmic contributions to jet observables in a fully automated way. As an application we obtain the first next-to-leading logarithmic distributions for event shapes in hadronic dijet production.

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 present a numerical program, CAESAR, that allows us to resum large logarithmic contributions to jet observables in a fully automated way. method 0.66 0.94 0.29 asserted 1.00
s1 As an application we obtain the first next-to-leading logarithmic distributions for event shapes in hadronic dijet production. result 0.91 0.95 0.56 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.99 · evidence from simulation or computation 0.97.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • 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

We present a numerical program, CAESAR, that allows us to resum large logarithmic contributions to jet observables in a fully automated way. As an application we obtain the first next-to-leading logarithmic distributions for event shapes in hadronic dijet production.

Human review

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