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Decay of Nuclear Giant Resonances: Quantum Self-similar Fragmentation

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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.Z. Gorski (1), R. Botet (2), S. Drozdz (1), M. Ploszajczak (1, 3) ( (1) Inst.of Nucl. Physics, Cracow, (2) Laboratorie de Physique des Solides, Orsay
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(3) GANIL Caen )

chao-dyn · Submitted 7 Jun 1996

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

The authors' main claim It is found that the background characteristics, typical for chaotic systems lead to nontrivial multifractal scaling properties.

how it is stated · asserted 1.00 read the record →

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arXiv IDchao-dyn/9606001 (version 1)
Pith IDZQWFXRYS, Pith's permanent record of this paper and its review
Citation(2) Laboratorie de Physique des Solides, 3) ( (1) Inst.of Nucl. Physics, (3) GANIL Caen ), A.Z. Gorski (1), Cracow, M. Ploszajczak (1, Orsay, R. Botet (2), S. Drozdz (1). "Decay of Nuclear Giant Resonances: Quantum Self-similar Fragmentation." arXiv:chao-dyn/9606001 (1996). https://pith.science/paper/ZQWFXRYS
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, 2,219 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.06 · human participants 0.01 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.06 · 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; .

Scaling analysis of nuclear giant resonance transition probabilities with increasing level of complexity in the background states is performed. It is found that the background characteristics, typical for chaotic systems lead to nontrivial multifractal scaling properties.

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 Scaling analysis of nuclear giant resonance transition probabilities with increasing level of complexity in the background states is performed. contribution 0.57 0.88 0.08 asserted 0.88
s1 It is found that the background characteristics, typical for chaotic systems lead to nontrivial multifractal scaling properties. result 0.99 0.89 0.78 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.87 · evidence from simulation or computation 0.43.

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

Scaling analysis of nuclear giant resonance transition probabilities with increasing level of complexity in the background states is performed. It is found that the background characteristics, typical for chaotic systems lead to nontrivial multifractal scaling properties.

Human review

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How each label was checked · JSON

Found among the papers closest to this one by title and main claim. Pith's classifier compared each pair's main results and a second model family confirmed the relation; checked against two further families, shown conflicts agreed 118 times in 120 and shown same results 218 times in 239. The quoted sentence is the other paper's main claim.

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