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Dissipative Heat Decomposition in Stochastic Energetics: Implication of the Instantaneous Diffusion Coefficient in Nonequilibrium Steady States

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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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Soya Shinkai

Statistical Mechanics · Submitted 19 Nov 2014

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

The authors' main claim We give a decomposition expression for dissipative heat using the instantaneous diffusion coefficient in a nonequilibrium steady state.

how it is stated · asserted 1.00 read the record →

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arXiv ID1411.5155 (version 1)
Pith ID6MKBY3PJ, Pith's permanent record of this paper and its review
CitationSoya Shinkai. "Dissipative Heat Decomposition in Stochastic Energetics: Implication of the Instantaneous Diffusion Coefficient in Nonequilibrium Steady States." arXiv:1411.5155 (2014). https://pith.science/paper/6MKBY3PJ
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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, 3,497 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.11 · human participants 0.03 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.05 · compares with prior results 0.07 · mentions code or data availability 0.03.

The abstract, sentence by sentence

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

We give a decomposition expression for dissipative heat using the instantaneous diffusion coefficient in a nonequilibrium steady state. The dissipative heat can be expressed using three diffusion coefficients: instantaneous, equilibrium, and drift. An experimental application of the decomposition expression permits us to evaluate the heat dissipation rate from single-trajectory data only. We also numerically demonstrate this method.

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 give a decomposition expression for dissipative heat using the instantaneous diffusion coefficient in a nonequilibrium steady state. contribution 0.99 0.94 0.67 asserted 1.00
s1 The dissipative heat can be expressed using three diffusion coefficients: instantaneous, equilibrium, and drift. contribution 0.51 0.80 0.32 asserted 1.00
s2 An experimental application of the decomposition expression permits us to evaluate the heat dissipation rate from single-trajectory data only. contribution 0.58 0.89 0.27 asserted 0.76
s3 We also numerically demonstrate this method. method 0.45 0.95 0.06 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.56 · evidence from proof or derivation 0.46.

What was examined, and what was not

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  • 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 give a decomposition expression for dissipative heat using the instantaneous diffusion coefficient in a nonequilibrium steady state. The dissipative heat can be expressed using three diffusion coefficients: instantaneous, equilibrium, and drift. An experimental application of the decomposition expression permits us to evaluate the heat dissipation rate from single-trajectory data only. We also numerically demonstrate this method.

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