Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T13:42:05.787708Z
Paper Citation Record · LEDGER
An empirical analysis of vulnerability detection tools for solidity smart contracts
As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.15756.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
45 of 45 outbound references displayed
- verified exact6
- verified fuzzy38
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 94a76b1d-6d21-4faf-b725-918e7eea2f30 · outbound
This paper cites In: Proceedings of the 37th IEEE/ACM International Conference on Automated Soft- ware Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the 37th IEEE/ACM International Conference on Automated Soft- ware Engineering, pp
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.650089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation de8893f8-606d-4a2d-89e2-164e14c57cca · outbound
This paper cites In: 2019 International Conference on Computer and Information Sciences (ICCIS), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2019 International Conference on Computer and Information Sciences (ICCIS), pp
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:44:52.794144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 875ea241-f50f-42d6-a052-e1ca0322094d · outbound
This paper cites SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts.
An empirical analysis of vulnerability detection tools for solidity smart contracts SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:44:52.939977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b91af272-135c-4d7b-aad5-dff1390e99d5 · outbound
This paper cites In: 32nd USENIX Security Symposium (USENIX Security 23), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 32nd USENIX Security Symposium (USENIX Security 23), pp
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.647461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e1671da8-8c9c-44fb-a42c-8cc59af7a61a · outbound
This paper cites white paper 3(37), 2–1 (2014).
An empirical analysis of vulnerability detection tools for solidity smart contracts white paper 3(37), 2–1 (2014)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.679044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb093b48-989a-47e9-8ec3-22b750172921 · outbound
This paper cites When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?.
An empirical analysis of vulnerability detection tools for solidity smart contracts When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:44:52.934007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 36b10b0e-8e1f-46de-a066-b8cf15e8556d · outbound
This paper cites IEEE Transactions on Software Engineering 48(1), 327–345 (2020).
An empirical analysis of vulnerability detection tools for solidity smart contracts IEEE Transactions on Software Engineering 48(1), 327–345 (2020)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.738413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 392f2e62-9405-4737-aabe-79f0c007bf6f · outbound
This paper cites Automated Software Engineering 30(2), 31 (2023).
An empirical analysis of vulnerability detection tools for solidity smart contracts Automated Software Engineering 30(2), 31 (2023)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.741421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6b9a7adc-597f-4f11-a129-ee162b700c7c · outbound
This paper cites Educational and psychological measurement 20(1), 37–46 (1960).
An empirical analysis of vulnerability detection tools for solidity smart contracts Educational and psychological measurement 20(1), 37–46 (1960)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.758716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 25e1f10a-0274-437b-b968-733515e0f343 · outbound
This paper cites Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants.
An empirical analysis of vulnerability detection tools for solidity smart contracts Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:44:52.931381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b82564bb-9af5-42a4-9aac-d50114368d05 · outbound
This paper cites Informa- tion and Software Technology 171, 107468 (2024).
An empirical analysis of vulnerability detection tools for solidity smart contracts Informa- tion and Software Technology 171, 107468 (2024)
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.735747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa6d2b71-f3f7-46fa-8673-da35cf29aa64 · outbound
This paper cites In: Proceedings of the ACM/IEEE 42nd International conference on software engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the ACM/IEEE 42nd International conference on software engineering, pp
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.738610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c0a64aa-cde1-4189-b9ac-dad70e0af3e6 · outbound
This paper cites In: 2019 IEEE/ACM 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2019 IEEE/ACM 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB), pp
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.741658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f8a464cc-38b3-465b-b877-8a6583b48ce1 · outbound
This paper cites In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, pp
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.764730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa3d693d-b8c6-4049-bc09-d14b1e607411 · outbound
This paper cites In: 37th IEEE/ACM International Conference on Automated Software Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 37th IEEE/ACM International Conference on Automated Software Engineering, pp
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.707491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0fe0dad7-66fa-4871-9014-db5347634440 · outbound
This paper cites In: 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), pp
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.703866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 623c7c39-02f9-46d1-9850-3682f52b8bee · outbound
This paper cites Sensors 22(5), 1829 (2022).
An empirical analysis of vulnerability detection tools for solidity smart contracts Sensors 22(5), 1829 (2022)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.701088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e18e9e8f-a45c-4bd2-91a7-6e5803f71406 · outbound
This paper cites In: Proceed- ings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceed- ings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, pp
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.711634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c2c96b40-915c-4b98-8700-072a373ab1b3 · outbound
This paper cites In: Ndss, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Ndss, pp
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.715180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7d164b3a-57f1-4e45-85f1-63aa3716398b · outbound
This paper cites Ieee Access 10, 57037–57062 (2022).
An empirical analysis of vulnerability detection tools for solidity smart contracts Ieee Access 10, 57037–57062 (2022)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.683485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4abfa3f5-1152-47ab-82bf-fd5d49c10f05 · outbound
This paper cites an unresolved cited work.
An empirical analysis of vulnerability detection tools for solidity smart contracts Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T13:44:53.685016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9cd08dba-cfc6-4a60-9795-79caa7f76b9a · outbound
This paper cites IEEE Transactions on Knowledge and Data Engineering (2021).
An empirical analysis of vulnerability detection tools for solidity smart contracts IEEE Transactions on Knowledge and Data Engineering (2021)
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.693007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6d45b737-b10a-4014-bcdb-61053703a530 · outbound
This paper cites In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.688184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c80a887e-6cfc-4782-8e5a-da1618f5a04e · outbound
This paper cites In: 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.671110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba9bb76d-1083-4209-b91d-153aa8d2e9c5 · outbound
This paper cites Decentralized Business Review p.
An empirical analysis of vulnerability detection tools for solidity smart contracts Decentralized Business Review p
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.658974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 04eccbf4-2e4a-4f07-aaa6-80dac702c152 · outbound
This paper cites In: 2023 IEEE/ACM 20th International Conference on Mining Software Reposi- tories (MSR), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2023 IEEE/ACM 20th International Conference on Mining Software Reposi- tories (MSR), pp
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.697654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8a12ce53-1ff1-485c-a216-ebbd19b198b9 · outbound
This paper cites In: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, pp
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.701330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 82ea6cc2-dc6f-4d9d-87b6-2a557bb73f67 · outbound
This paper cites In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), pp
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.716698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4359559a-2824-42fe-ac02-9e8ad390e4db · outbound
This paper cites https://github.com/fsalzano/Empirical-Analysis-of-V ulnerability- Detection- Tools- for- Solidity- Smart- Contracts (2024).
An empirical analysis of vulnerability detection tools for solidity smart contracts https://github.com/fsalzano/Empirical-Analysis-of-V ulnerability- Detection- Tools- for- Solidity- Smart- Contracts (2024)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.756123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 937925c6-a7df-438b-b654-3cb01ccbc71e · outbound
This paper cites Fixing Smart Contract Vulnerabilities: A Comparative Analysis of Literature and Developer's Practices.
An empirical analysis of vulnerability detection tools for solidity smart contracts Fixing Smart Contract Vulnerabilities: A Comparative Analysis of Literature and Developer's Practices
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:44:52.943951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f256c0f6-6cde-4fdc-af16-8a59b0c17b0e · outbound
This paper cites In: 2024 IEEE Symposium on Security and Privacy (SP), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2024 IEEE Symposium on Security and Privacy (SP), pp
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.719947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cc68ebc2-e547-45e7-bfbf-6c51635b3269 · outbound
This paper cites In: 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.723283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c91745d1-3ea3-4eb4-8325-8a80cb84ebca · outbound
This paper cites In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, pp
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.726510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e926ebf-f933-4f98-910e-6edb875a6f3e · outbound
This paper cites In: Pro- ceedings of the 1st international workshop on emerging trends in software engineering for blockchain, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Pro- ceedings of the 1st international workshop on emerging trends in software engineering for blockchain, pp
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.744696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation abf98db7-35e4-4120-ba24-01ce87321ae9 · outbound
This paper cites In: Proceedings of the 34th annual computer security applications conference, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the 34th annual computer security applications conference, pp
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.704106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 25ae0fb8-6471-49c6-8724-80e3fc2be830 · outbound
This paper cites In: Proceedings of the 2018 ACM SIGSAC conference on computer and communications security, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the 2018 ACM SIGSAC conference on computer and communications security, pp
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.707136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eafd5140-6885-4817-858a-5f178ae43673 · outbound
This paper cites Proceedings of the ACM on Software Engineering 1(FSE), 161–181 (2024).
An empirical analysis of vulnerability detection tools for solidity smart contracts Proceedings of the ACM on Software Engineering 1(FSE), 161–181 (2024)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.710197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cfb1f4f9-bacc-4ef3-bee2-4877462da553 · outbound
This paper cites IEEE Transactions on Software Engineering (2024).
An empirical analysis of vulnerability detection tools for solidity smart contracts IEEE Transactions on Software Engineering (2024)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.718632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0654f16d-5a5c-4f40-ac7a-bbf2e81f6bd7 · outbound
This paper cites In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, pp
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.729770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8539c443-6342-41c2-b28a-1dd55f30b078 · outbound
This paper cites Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities.
An empirical analysis of vulnerability detection tools for solidity smart contracts Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:44:52.935729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f633c4ec-a889-48b1-8239-66182aa1df79 · outbound
This paper cites IEEE Transactions on Software Engineering (2024) 38 Salzano et al.
An empirical analysis of vulnerability detection tools for solidity smart contracts IEEE Transactions on Software Engineering (2024) 38 Salzano et al
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.747789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a89e091f-70f7-4a6e-ab70-242197dda9d0 · outbound
This paper cites Journal of Information Security and Applications 77, 103555 (2023).
An empirical analysis of vulnerability detection tools for solidity smart contracts Journal of Information Security and Applications 77, 103555 (2023)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.750414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c937a2e-71d1-41ee-a910-a4f7e2ca0a8a · outbound
This paper cites In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.753129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea8a1617-1e4c-4450-9ae7-6cfe3f252593 · outbound
This paper cites In: Proceedings of the Twenty-Ninth Inter- national Conference on International Joint Conferences on Artificial Intelligence, pp.
An empirical analysis of vulnerability detection tools for solidity smart contracts In: Proceedings of the Twenty-Ninth Inter- national Conference on International Joint Conferences on Artificial Intelligence, pp
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.761709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cb95fc6e-b9da-4992-b4e4-8c6a2a3d371d · outbound
This paper cites IEEE Transactions on Software Engineering 47(10), 2084–2106 (2019).
An empirical analysis of vulnerability detection tools for solidity smart contracts IEEE Transactions on Software Engineering 47(10), 2084–2106 (2019)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T13:44:53.733078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.