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Record W4240265263 · doi:10.1109/fmcad.2014.6987616

Reducing CTL-live model checking to first-order logic validity checking

2014· article· en· W4240265263 on OpenAlexaff
Amirhossein Vakili, Nancy A. Day

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicFormal Methods in Verification
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsModel checkingComputation tree logicKripke structureCTL*Computer scienceTemporal logicModal μ-calculusPartial order reductionAbstraction model checkingTheoretical computer scienceLivenessLinear temporal logicAbstractionAlgorithmDescription logicMultimodal logicZeroth-order logic

Abstract

fetched live from OpenAlex

Temporal logic model checking of infinite state systems without the use of iteration or abstraction is usually considered beyond the realm of first-order logic (FOL) reasoners because of the need for a fixpoint computation. In this paper, we show that it is possible to reduce model checking of a finite or infinite Kripke structure that is expressed in FOL to a validity problem in FOL for a fragment of computational tree logic (CTL), which we call CTL-live. CTL-live includes the CTL connectives that are traditionally used to express liveness properties. Our reduction can form the basis for methods that use FOL reasoning techniques directly to accomplish model checking of CTL-live properties without the need for fixpoint operators, transitive closure, abstraction, or induction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.698
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.105
GPT teacher head0.328
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2014
Admission routes1
Has abstractyes

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