Paper Citation Record · LEDGER

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.01152.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.01152 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:41:42.362200Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T11:52:41.060961Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b1a6d76-406c-4445-b18e-1224e7077ac1 · inbound

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation cites this paper.

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T15:48:59.290708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7b023b-b7c3-4138-b261-b6889b1a8e01 · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T05:32:23.536439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f332f8-ff16-472b-ab72-a9e4231bb516 · inbound

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models cites this paper.

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:41:42.362200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c64ce5-1deb-4e30-a554-7f71e5368ce2 · inbound

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects cites this paper.

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:12.320695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f851637-4b1a-42cf-a4ce-e2e9cd917880 · inbound

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection cites this paper.

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:21.543764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94db8525-58c9-4faa-9dcf-ec27660da2c6 · inbound

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection cites this paper.

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:52:41.068511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.