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$p\bar{p} \to \Lambda_c \bar{\Lambda}_c$ within a Handbag Picture -- Cross Section and Spin Observables

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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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A.T.Goritschnig, P.Kroll, W.Schweiger

High Energy Physics - Phenomenology · Submitted 24 Feb 2009

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

The authors' main claim Our cross-section predictions may become interesting in view of forthcoming experiments at FAIR in Darmstadt.

how it is stated · hedged possibility 1.00 read the record →

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arXiv ID0902.4109 (version 1)
Pith IDI7QFTBO6, Pith's permanent record of this paper and its review
CitationA.T.Goritschnig, P.Kroll, W.Schweiger. "$p\bar{p} \to \Lambda_c \bar{\Lambda}_c$ within a Handbag Picture -- Cross Section and Spin Observables." arXiv:0902.4109 (2009). https://pith.science/paper/I7QFTBO6
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, 2,947 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.15 · human participants 0.01 · controlled comparison 0.01 · randomized assignment 0.01 · states quantitative result 0.05 · compares with prior results 0.05 · 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 the process $p\bar{p} \to \Lambda_c \bar{\Lambda}_c$ within the generalized parton picture. Our starting point is the double handbag diagram which factorizes into soft generalized parton distributions and a hard subprocess amplitude for $u \bar{u} \to c \bar{c}$. Our cross-section predictions may become interesting in view of forthcoming experiments at FAIR in Darmstadt.

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 the process $p\bar{p} \to \Lambda_c \bar{\Lambda}_c$ within the generalized parton picture. contribution 0.99 0.88 0.05 asserted 0.92
s1 Our starting point is the double handbag diagram which factorizes into soft generalized parton distributions and a hard subprocess amplitude for $u \bar{u} \to c \bar{c}$. method 0.99 0.65 0.08 asserted 1.00
s2 Our cross-section predictions may become interesting in view of forthcoming experiments at FAIR in Darmstadt. interpretation 0.90 0.26 0.14 hedged possibility 1.00

What kind of paper the classifier reports this is: theoretical result 0.98 · evidence from proof or derivation 0.47.

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 study the process $p\bar{p} \to \Lambda_c \bar{\Lambda}_c$ within the generalized parton picture. Our starting point is the double handbag diagram which factorizes into soft generalized parton distributions and a hard subprocess amplitude for $u \bar{u} \to c \bar{c}$. Our cross-section predictions may become interesting in view of forthcoming experiments at FAIR in Darmstadt.

Human review

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How the literature uses it

What this paper does with the arXiv papers it cites

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

What it cites · 8 sentences without a confident label

Uses the method or tool of 2 papers

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