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On the "The Kolmogorov-Smirnov test for the CMB" by M.Frommert, R.Durrer and J.Michaud

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V.G.Gurzadyan, A.A.Kocharyan

Cosmology and Nongalactic Astrophysics · Submitted 12 Sep 2011

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

The authors' main claim Their interpretation of the KSP method, however, lacks essential elements.

how it is stated · asserted 1.00 read the record →

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arXiv ID1109.2529 (version 1)
Pith IDME5KPXXN, Pith's permanent record of this paper and its review
CitationA.A.Kocharyan, V.G.Gurzadyan. "On the "The Kolmogorov-Smirnov test for the CMB" by M.Frommert, R.Durrer and J.Michaud." arXiv:1109.2529 (2011). https://pith.science/paper/ME5KPXXN
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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, 2,973 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.12 · human participants 0.02 · controlled comparison 0.07 · randomized assignment 0.02 · states quantitative result 0.05 · compares with prior results 0.83 · mentions code or data availability 0.03.

The abstract, sentence by sentence

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

In arxiv:1108.5354 the Kolmogorov-Smirnov (K-S) test and Kolmogorov stochasticity parameter (KSP) is applied to CMB data. Their interpretation of the KSP method, however, lacks essential elements. In addition, their main result on the Gaussianity of CMB was not a matter of debate in previous KSP-CMB studies which also included predictions on cold spots, point sources.

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 In arxiv:1108.5354 the Kolmogorov-Smirnov (K-S) test and Kolmogorov stochasticity parameter (KSP) is applied to CMB data. background 0.95 0.10 0.04 asserted 1.00
s1 Their interpretation of the KSP method, however, lacks essential elements. gap 0.84 0.11 0.20 asserted 1.00
s2 In addition, their main result on the Gaussianity of CMB was not a matter of debate in previous KSP-CMB studies which also included predictions on cold spots, point sources. background 0.52 0.11 0.23 asserted 1.00

What kind of paper the classifier reports this is: position or commentary 1.00 · evidence from literature 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
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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

In arxiv:1108.5354 the Kolmogorov-Smirnov (K-S) test and Kolmogorov stochasticity parameter (KSP) is applied to CMB data. Their interpretation of the KSP method, however, lacks essential elements. In addition, their main result on the Gaussianity of CMB was not a matter of debate in previous KSP-CMB studies which also included predictions on cold spots, point sources.

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