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Paper Citation Record · LEDGER

Can Large Language Models Find And Fix Vulnerable Software?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.10345.

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

pith.paper-citation-record.v1
2308.10345 v1

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:18.544516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:23:20.681462Z

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 15d6d70e-880a-4619-a69e-386f3c163f61 · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Can Large Language Models Find And Fix Vulnerable Software?

Reference 172

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:46:37.305016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:45:28.789452Z digest=sha256:6b1f56c007a3231e139fe4c187343afc52ab11fea70150a0d57ff167fffc0862

Observation 2ac46f0c-9e02-4125-8e77-be517112cdfb · inbound

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software cites this paper.

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software Can Large Language Models Find And Fix Vulnerable Software?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:18.544516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:18.544516Z digest=sha256:86ee13ca28e9648746a6609a6c3cb98eed918aedd7f2ed3e94bef8cd25a40fa3

Observation d95cd1c4-1e77-41f2-890c-7ea415b08dd0 · inbound

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing cites this paper.

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing Can Large Language Models Find And Fix Vulnerable Software?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:02.749284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:02.749284Z digest=sha256:1a550066c00a98d1296ba2f65b968cbce7b2f251ac5ca8acb2692c1bf553a32f

Observation cb30eec7-5087-4609-9c82-d0035b6681e5 · inbound

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks cites this paper.

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks Can Large Language Models Find And Fix Vulnerable Software?

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:53:15.877433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:51:00.073781Z digest=sha256:bb4c353cf951d90b6134830ca32e400fb6eefc73eecb56719d0dd7c8b07f82a3

Observation eb61b5ec-ebe2-46c3-a113-926f3d9ee68b · inbound

Security of LLM-generated Code: A Comparative Analysis cites this paper.

Security of LLM-generated Code: A Comparative Analysis Can Large Language Models Find And Fix Vulnerable Software?

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:16:39.194522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:16:26.372764Z digest=sha256:8691a66c97b603a4ff62ef7b59470763f21a71d01b59cf78a19d8f4cbcad40b5

Observation 8b407e88-43d4-4a7f-8460-f8a1bfe08b72 · inbound

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities cites this paper.

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities Can Large Language Models Find And Fix Vulnerable Software?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:23:20.682964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T11:21:33.012202Z digest=sha256:c45dac8af16c716d39437e2cc824d4e9bd7f4bf5d922a37303a6d946f9012ed0