Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

CAV: Computer Aided Verification — papers and institutions, 2024–2026

Papers of CAV, Computer Aided Verification (CORE rank A*; field: Software engineering, Theory of computation), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • CAV (Computer Aided Verification) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 232 of its papers from 2024–2026 (69 in 2024, 81 in 2025, 82 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (78), Germany (44) and China (33).
  • The institutions with the most papers are TU Wien (13), Chinese Academy of Sciences (13) and Institute of Software (13).
  • Its most-cited paper of these years is “Enchanting Program Specification Synthesis by Large Language Models Using Static Analysis and Program Verification” (2024), with 70 citations.

Papers per year#

CAV papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20246969
20258181
20268282

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S106296714Papers of the volumes titled “Computer Aided Verification” (LNCS), found by DOI through Crossref

Who publishes there#

Institutions with the most CAV papers, 2024–2026
#InstitutionPapers
1TU Wien13
2Chinese Academy of Sciences13
3Institute of Software13
4Stanford University13
5University of Oxford10
6Helmholtz Center for Information Security10
7Radboud University Nijmegen9
8University of Toronto9
9Technical University of Munich9
10ETH Zurich8
Countries with the most CAV papers, 2024–2026
#CountryPapers
1United States78
2Germany44
3China33
4United Kingdom30
5Austria23
6Netherlands22
7Switzerland16
8Canada15
9Israel13
10France12
Keywords with the most CAV papers, 2024–2026
#KeywordPapers
1formal verification30
2SMT solvers27
3model checking19
4program verification16
5linear temporal logic12
6Markov decision process10
7automated verification9
8safety verification9
9satisfiability modulo theories8
10bounded model checking7

Most-cited papers#

Most-cited CAV papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
170Enchanting Program Specification Synthesis by Large Language Models Using Static Analysis and Program Verification2024-01-01Cheng Wen, Jialun Cao, Jie Su et al.
264CaDiCaL 2.02024-01-01Armin Biere, Tobias Faller, Katalin Fazekas et al.
353Marabou 2.0: A Versatile Formal Analyzer of Neural Networks2024-01-01Haoze Wu, Omri Isac, Aleksandar Zeljić et al.
419End-to-End Mechanized Proof of a JIT-Accelerated eBPF Virtual Machine for IoT2024-01-01Shenghao Yuan, Frédéric Besson, Jean-Pierre Talpin
519Guiding Enumerative Program Synthesis with Large Language Models2024-01-01Yixuan Li, Julian Parsert, Elizabeth Polgreen
615lean-smt: An SMT Tactic for Discharging Proof Goals in Lean2025-01-01Abdalrhman Mohamed, Tomaz Mascarenhas, Harun Khan et al.
715Simulating Quantum Circuits by Model Counting2024-01-01Jingyi Mei, Marcello Bonsangue, Alfons Laarman
814Verifying Global Two-Safety Properties in Neural Networks with Confidence2024-01-01Anagha Athavale, Ezio Bartocci, Maria Christakis et al.
914The VerCors Verifier: A Progress Report2024-01-01Lukas Armborst, Pieter Bos, Lars B. van den Haak et al.
1013Stochastic Omega-Regular Verification and Control with Supermartingales2024-01-01Alessandro Abate, Mirco Giacobbe, Diptarko Roy

Conferences in the same field#

ICSE · ASE · SODA · STOC · ASPLOS · ICALP · FSE · ISCA · EC · KR · PLDI · FOCS · SoCG · POPL · SIGMETRICS · LICS · DATE · OOPSLA · ISSTA · MODELS · MSR · ESA · SANER · ICST · ITCS · EASE · RE · ICSME · TACAS · APPROX/RANDOM · STACS · ICPC · CGO · ESEM · ISSRE · BPM · ICFP · ICSA · IJCAR · CCC · GD · SEAMS · ECOOP · SAT · ALENEX

Cite this page

Scholar4AI. (2026). CAV: Computer Aided Verification — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/cav

@misc{scholar4ai-proceedings-cav,
  author = {{Scholar4AI}},
  title = {CAV: Computer Aided Verification — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/cav}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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