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Identification of new cataclysmic variables in the 1RXS and USNO-B1.0 catalogs

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D. V. Denisenko, K. V. Sokolovsky

Solar and Stellar Astrophysics · Submitted 11 Jul 2010

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

The authors' main claim The obtained results demonstrate the large potential of the concept of Virtual Observatory for identifying new objects of astrophysical interest.

how it is stated · asserted 1.00 read the record →

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arXiv ID1007.1798 (version 1)
Pith IDHAGE43WR, Pith's permanent record of this paper and its review
CitationD. V. Denisenko, K. V. Sokolovsky. "Identification of new cataclysmic variables in the 1RXS and USNO-B1.0 catalogs." arXiv:1007.1798 (2010). https://pith.science/paper/HAGE43WR
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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.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,942 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.11 · human participants 0.01 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.16 · mentions code or data availability 0.05.

The abstract, sentence by sentence

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

As a result of applying the original optical variability search method on publicly available data, we have found eight new cataclysmic variables and two possible Optically Violent Variable quasars among the previously unidentified X-ray sources in the ROSAT catalog. We describe the search method and present the characteristics of the newly identified variable stars. The obtained results demonstrate the large potential of the concept of Virtual Observatory for identifying new objects of astrophysical interest.

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 As a result of applying the original optical variability search method on publicly available data, we have found eight new cataclysmic variables and two possible Optically Violent Variable quasars among the previously unidentified X-ray sources in the ROSAT catalog. result 0.99 0.96 0.74 asserted 1.00
s1 We describe the search method and present the characteristics of the newly identified variable stars. contribution 0.78 0.89 0.05 asserted 0.91
s2 The obtained results demonstrate the large potential of the concept of Virtual Observatory for identifying new objects of astrophysical interest. interpretation 1.00 0.42 0.49 asserted 1.00

What kind of paper the classifier reports this is: empirical study 0.98 · evidence from analysis of existing data 1.00.

What was examined, and what was not

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not examined
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  • 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

As a result of applying the original optical variability search method on publicly available data, we have found eight new cataclysmic variables and two possible Optically Violent Variable quasars among the previously unidentified X-ray sources in the ROSAT catalog. We describe the search method and present the characteristics of the newly identified variable stars. The obtained results demonstrate the large potential of the concept of Virtual Observatory for identifying new objects of astrophysical interest.

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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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