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Enabling Preserving Bisimulation Equivalence

Logic in Computer Science · Submitted 31 Jul 2021

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

The authors' main claim We prove that this equivalence is justness-preserving and a congruence for all standard operators, including parallel composition.

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arXiv ID2108.00142 (version 1)
Pith IDSVJIV5BV, Pith's permanent record of this paper and its review
CitationPeter H\"ofner, Rob van Glabbeek, Weiyou Wang. "Enabling Preserving Bisimulation Equivalence." arXiv:2108.00142 (2021). https://pith.science/paper/SVJIV5BV
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,565 input tokens.

What the abstract itself states, as probabilities: claims first 0.08 · states limitation 0.11 · human participants 0.02 · controlled comparison 0.06 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.88 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

Most fairness assumptions used for verifying liveness properties are criticised for being too strong or unrealistic. On the other hand, justness, arguably the minimal fairness assumption required for the verification of liveness properties, is not preserved by classical semantic equivalences, such as strong bisimilarity. To overcome this deficiency, we introduce a finer alternative to strong bisimilarity, called enabling preserving bisimilarity. We prove that this equivalence is justness-preserving and a congruence for all standard operators, including parallel composition.

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 Most fairness assumptions used for verifying liveness properties are criticised for being too strong or unrealistic. background 1.00 0.05 0.02 asserted 0.98
s1 On the other hand, justness, arguably the minimal fairness assumption required for the verification of liveness properties, is not preserved by classical semantic equivalences, such as strong bisimilarity. background 0.66 0.09 0.05 asserted 0.92
s2 To overcome this deficiency, we introduce a finer alternative to strong bisimilarity, called enabling preserving bisimilarity. contribution 1.00 0.94 0.24 asserted 1.00
s3 We prove that this equivalence is justness-preserving and a congruence for all standard operators, including parallel composition. result 0.94 0.96 0.81 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.58 · evidence from proof or derivation 1.00.

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  • references and citing sentences
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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

Most fairness assumptions used for verifying liveness properties are criticised for being too strong or unrealistic. On the other hand, justness, arguably the minimal fairness assumption required for the verification of liveness properties, is not preserved by classical semantic equivalences, such as strong bisimilarity. To overcome this deficiency, we introduce a finer alternative to strong bisimilarity, called enabling preserving bisimilarity. We prove that this equivalence is justness-preserving and a congruence for all standard operators, including parallel composition.

Human review
How the literature uses it

2 arXiv papers cite this in 2 sentences

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

What it cites · 6 sentences without a confident label

Cites as support 1 paper
  • Despite being commonly used, it has been argued that most fairness assumptions, including weak and strong fairness of instructions, are often too strong or unrealistic, “in the sense that run-of-the-mill implementations tend not to be fair” [ref] .

    Progress, Justness and Fairness · Introduction · 0.96

Cites as background 1 paper
  • For decades, researchers have developed notions of fairness and used them in both system specification and verification; the most common ones are surveyed in [ref] .

    Progress, Justness and Fairness · Introduction · 1.00

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