Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:30.684764Z
Paper Citation Record · LEDGER
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions
As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.06735.
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 2026-08-07T06:34:17.273281+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
20 of 20 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bc198de3-b929-480e-9378-e2bd28e0fb2b · outbound
This paper cites A Survey of Attacks on Ethereum Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions A Survey of Attacks on Ethereum Smart Contracts,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:35.469820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3eadc93e-674e-4619-b4a8-46ad8ef36d25 · outbound
This paper cites Formal V erification of Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Formal V erification of Smart Contracts,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:35.173584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 868065dd-91e5-4590-8ca6-2397ea798ca6 · outbound
This paper cites Making Smart Contracts Smarter,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Making Smart Contracts Smarter,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:34.923458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f45a39d6-3007-4bd0-a21c-6079eacb87ea · outbound
This paper cites Blockchains and Smart Contracts for the Internet of Things,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Blockchains and Smart Contracts for the Internet of Things,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:34.746514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 13a0393e-29b3-4069-927f-dc998b7e3eab · outbound
This paper cites The distinguishing number and distinguishing chromatic number for posets.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions The distinguishing number and distinguishing chromatic number for posets
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:53:31.800414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a3e678df-af3d-46f9-b4c1-d2d37bb8dce5 · outbound
This paper cites MadMax: Surviving Out -of-Gas Conditions in Ethereum Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions MadMax: Surviving Out -of-Gas Conditions in Ethereum Smart Contracts,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:34.447741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4f8d1e83-d8f3-43e1-a712-ef2b53548683 · outbound
This paper cites Drug repurposing prediction for COVID-19 using probabilistic networks and crowdsourced curation.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Drug repurposing prediction for COVID-19 using probabilistic networks and crowdsourced curation
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:53:31.550484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b3fe50e5-f968-4560-ba4b-cd4442588df5 · outbound
This paper cites Hydrogenous content identification in heterogeneous cargoes via multiple monoenergetic neutron radiography.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Hydrogenous content identification in heterogeneous cargoes via multiple monoenergetic neutron radiography
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:53:31.325107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 936a1cc2-f6a1-49d8-908c-72edd6768e3c · outbound
This paper cites VulnSniffer: Detecting Vulnerabilities in Smart Contracts Through Sequence Modeling,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions VulnSniffer: Detecting Vulnerabilities in Smart Contracts Through Sequence Modeling,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:34.213582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6d177516-3a04-4ecd-b19e-8e69baa404ff · outbound
This paper cites Two-carrier Magnetoresistance: Applications to Ca$_3$Ru$_2$O$_7$.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Two-carrier Magnetoresistance: Applications to Ca$_3$Ru$_2$O$_7$
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:53:31.018029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d76a43aa-da06-4ea8-b9b8-8db76cdcea65 · outbound
This paper cites ETH2V ec: Heterogeneous Graph Embedding for Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions ETH2V ec: Heterogeneous Graph Embedding for Smart Contracts,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:34.001018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 22908a85-0c09-4352-bcac-31a9a93d80ee · outbound
This paper cites SolGraph: Graph Attention Networks for Smart Contract Vulnerability Detection,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions SolGraph: Graph Attention Networks for Smart Contract Vulnerability Detection,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:33.810415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation adb01e2c-167d-41ed-9f2c-d227b3534150 · outbound
This paper cites QCD corrections in $tq\gamma$ production at hadron colliders.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions QCD corrections in $tq\gamma$ production at hadron colliders
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:53:30.822935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6d88be7f-ad25-44d9-ba16-5cc659e34f5e · outbound
This paper cites SolTrans: Transformer-Based Smart Contract Vulnerability Detection,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions SolTrans: Transformer-Based Smart Contract Vulnerability Detection,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:33.549569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7f30289-516d-4d18-9ae7-81d7eb7c0319 · outbound
This paper cites DeepSolid: Deep Learning and Graph Neural Networks for Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions DeepSolid: Deep Learning and Graph Neural Networks for Smart Contracts,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:33.331255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e80c1d5c-8864-4784-bfe4-5d5af870687a · outbound
This paper cites HybridVulDetect: Ensemble Learning for Vulnerability Detection in Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions HybridVulDetect: Ensemble Learning for Vulnerability Detection in Smart Contracts,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:33.082158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 106fa4ed-5204-452c-b6f7-33e4829312b6 · outbound
This paper cites SmartCheck: Static Analysis of Ethereum Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions SmartCheck: Static Analysis of Ethereum Smart Contracts,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:32.794183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1083ebe9-66be-44f1-ac57-6cdd3b05e266 · outbound
This paper cites Osiris: Hunting for Integer Bugs in Ethereum Smart Contracts,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Osiris: Hunting for Integer Bugs in Ethereum Smart Contracts,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:32.508044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7cfec938-2d54-45d3-9804-bf3d08009c6f · outbound
This paper cites Semantic -Based Smart Contract Vulnerability Detection with Machine Learning,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Semantic -Based Smart Contract Vulnerability Detection with Machine Learning,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:32.256017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 025d6fc7-6edc-4271-8f58-953778efa161 · outbound
This paper cites Scalable Detection of Vulnerabilities in Smart Contracts Using Machine Learning,.
Ai-Driven Vulnerability Analysis in Smart Contracts: Trends, Challenges and Future Directions Scalable Detection of Vulnerabilities in Smart Contracts Using Machine Learning,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:53:32.043458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.