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Paper Citation Record · LEDGER

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.02525.

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

pith.paper-citation-record.v1
2404.02525 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:18:01.438011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:52:40.030053Z

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 b17156ac-f1ab-46ff-9793-5ccec00a0e69 · inbound

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points cites this paper.

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:52:40.032618Z

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.

source=pdf_text observed=2026-05-23T06:51:09.608735Z digest=sha256:1ad1599ecf5a7ad432ea187a2651ef082c5418f583c1c2accdd6bcb0ee1092c4

Observation 19d7e3a2-6f20-41d0-bb5b-12f40d234659 · inbound

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub cites this paper.

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:10.797899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:10.797899Z digest=sha256:44195023ef2c826bf65acb85182915cae31ce8995e7a2602aaa83a974f9d9943

Observation f08987dd-ec03-422c-a921-d0384c7e7237 · inbound

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries cites this paper.

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:15.060396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:15.060396Z digest=sha256:1028a6475e6ffcfd0c68204522a94d69390acb0bc0bee6133bb3710859182da9

Observation faf4a35a-4fe0-4c9c-a90c-5b019527d46e · inbound

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data cites this paper.

Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:54.417624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:54.417624Z digest=sha256:4797879894bfef797fa26c52c9edd8ff851576e1b17f4826d8a377c01746dfd9

Observation eda03d26-802c-4240-87ec-e767126c2471 · inbound

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction cites this paper.

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T23:41:28.787878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:41:28.787878Z digest=sha256:f2dead2d1149d10c4ef622fddbcdc394405969ac36db14c10bb721328a506f69

Observation d5e5ad77-002a-493a-b7b5-1513a1b301f6 · 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 Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:53:15.887256Z

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.

source=pdf_text observed=2026-05-13T20:51:00.073781Z digest=sha256:2db7baa701747223f8d961e09dce63de3ace31242ad1d7e75c2f6ae39b05a918

Observation b3e29307-b6c7-4e35-83c8-cd91fae0a7c2 · inbound

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection cites this paper.

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T05:13:55.793061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:13:55.793061Z digest=sha256:3c5c3bac404bd874dd5f6836479205a7392a37844f1b350b72e7de0975a9308c

Observation cab2073f-47af-4fdb-9e2e-363c97598edc · inbound

Neuro-Symbolic Proof-of-Vulnerability Generation with Open-Weight Models cites this paper.

Neuro-Symbolic Proof-of-Vulnerability Generation with Open-Weight Models Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:01.438011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:01.438011Z digest=sha256:0af44d5a9378261ed0a7b4588bd1360c87a921e274c414820115e612e07d65ad