Paper Citation Record · LEDGER

Can LLMs Patch Security Issues?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.00024.

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

pith.paper-citation-record.v1
2312.00024 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:32.942092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:41:26.729229Z

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 3ac14559-52cf-49c7-a52b-6930a05ec813 · inbound

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation cites this paper.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Can LLMs Patch Security Issues?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:32.942092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a316f1-2846-4c56-b0d9-ee3ed1cf458b · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Can LLMs Patch Security Issues?

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:29.817587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd6cc1be-9e22-454b-9b31-c496b28dae67 · inbound

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness cites this paper.

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness Can LLMs Patch Security Issues?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T18:40:05.080660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab2262e-9af8-4d64-85c1-fac2d92018d2 · inbound

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor cites this paper.

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor Can LLMs Patch Security Issues?

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:49.835456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70a9c334-bc02-4dea-ab13-96a5cba28a15 · inbound

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents cites this paper.

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Can LLMs Patch Security Issues?

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:41:26.731189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.