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Evolutionary Circuit Design: Information Theory Perspective on Signal Propagation

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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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Denis V. Popel, Nawar Al-Hakeem

Other Computer Science · Submitted 3 Jul 2002

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

The authors' main claim For example, the analysis of signal propagation during evolving gate-level synthesis can be improved by using information theoretic measures that will make it possible to find the most effective geometry and therefore predict the cost of the final design solution.

how it is stated · hedged possibility 0.81 read the record →

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arXiv IDcs/0207007 (version 1)
Pith ID2GFPPWL6, Pith's permanent record of this paper and its review
CitationDenis V. Popel, Nawar Al-Hakeem. "Evolutionary Circuit Design: Information Theory Perspective on Signal Propagation." arXiv:cs/0207007 (2002). https://pith.science/paper/2GFPPWL6
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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, 4,779 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.10 · human participants 0.03 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.04 · 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; .

This paper presents case-study results on the application of information theoretic approach to gate-level evolutionary circuit design. We introduce information measures to provide better estimates of synthesis criteria of digital circuits. For example, the analysis of signal propagation during evolving gate-level synthesis can be improved by using information theoretic measures that will make it possible to find the most effective geometry and therefore predict the cost of the final design solution. The problem is considered from the information engine point of view. That is, the process of evolutionary gate-level circuit design is presented via such measures as entropy, logical work and information vitality. Some examples of geometry driven synthesis are provided to prove the above idea.

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 This paper presents case-study results on the application of information theoretic approach to gate-level evolutionary circuit design. contribution 0.99 0.79 0.08 asserted 0.99
s1 We introduce information measures to provide better estimates of synthesis criteria of digital circuits. contribution 0.97 0.91 0.15 asserted 0.95
s2 For example, the analysis of signal propagation during evolving gate-level synthesis can be improved by using information theoretic measures that will make it possible to find the most effective geometry and therefore predict the cost of the final design solution. contribution 0.47 0.36 0.40 hedged possibility 0.81
s3 The problem is considered from the information engine point of view. method 0.74 0.42 0.05 asserted 0.96
s4 That is, the process of evolutionary gate-level circuit design is presented via such measures as entropy, logical work and information vitality. method 0.88 0.68 0.10 asserted 1.00
s5 Some examples of geometry driven synthesis are provided to prove the above idea. contribution 0.50 0.86 0.09 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.77 · evidence from simulation or computation 0.68.

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
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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

This paper presents case-study results on the application of information theoretic approach to gate-level evolutionary circuit design. We introduce information measures to provide better estimates of synthesis criteria of digital circuits. For example, the analysis of signal propagation during evolving gate-level synthesis can be improved by using information theoretic measures that will make it possible to find the most effective geometry and therefore predict the cost of the final design solution. The problem is considered from the information engine point of view. That is, the process of evolutionary gate-level circuit design is presented via such measures as entropy, logical work and information vitality. Some examples of geometry driven synthesis are provided to prove the above idea.

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