Paper Citation Record · LEDGER

Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.17230.

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

pith.paper-citation-record.v1
2402.17230 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:56:16.187532Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f77fe6ce-1a89-4766-b02c-6bbb882a3ec5 · inbound

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation cites this paper.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.187532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9891ad59-d371-4ecb-978f-ba822ee0bc16 · inbound

Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review cites this paper.

Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:59:52.961243Z

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 d7c524af-90bc-4334-8d9c-b3c9b22624d0 · inbound

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:04.274439Z

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 439ea231-7e22-428e-ba7c-b5b21795641b · inbound

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection cites this paper.

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T16:30:06.731153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e5e5360-03bc-438a-b06c-4d468fdfd9a0 · inbound

A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development cites this paper.

A Quasi-Experimental Developer Study of Security Training in LLM-Assisted Web Application Development Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:20:54.548305Z

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 1dda1bfe-bfbe-4517-a565-c621801c41b9 · inbound

Generating Place-Based Compromises Between Two Points of View cites this paper.

Generating Place-Based Compromises Between Two Points of View Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:12.301016Z

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 702ecaaf-6f43-4c70-9a6d-6ed7ac859691 · inbound

Learning Generalizable Multimodal Representations for Software Vulnerability Detection cites this paper.

Learning Generalizable Multimodal Representations for Software Vulnerability Detection Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:51:19.634372Z

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 6b062303-535e-4f50-aab2-a996a5ac9d73 · inbound

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection cites this paper.

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:18:10.103511Z

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 72d3c5eb-5aba-453d-b8a2-1990ffe6a025 · inbound

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection cites this paper.

PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.318371Z

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 2fe5ad33-aa66-41b9-8db5-b1ba521ca11d · inbound

Enhancing Reliability in LLM-Based Secure Code Generation cites this paper.

Enhancing Reliability in LLM-Based Secure Code Generation Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:14:46.106321Z

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 1af552b5-6451-4047-9b91-da04c5a1e15b · inbound

Representation Matters: An Empirical Study of Program Representations for LLM Vulnerability Reasoning cites this paper.

Representation Matters: An Empirical Study of Program Representations for LLM Vulnerability Reasoning Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.904911Z

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 a0e35d49-59dc-47ea-8e79-aff3cb807c49 · inbound

Knowledge Over Parameters: Evolving Smart Contract Vulnerability Detection cites this paper.

Knowledge Over Parameters: Evolving Smart Contract Vulnerability Detection Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:03.120517Z

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 aa51782b-3f89-4d78-93df-ce7f58279179 · 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 Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:52.895833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25beae08-79e0-4853-9103-04aacc3f3b88 · inbound

Evaluating Large Language Models for Symbolic Security Protocol Analysis cites this paper.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T09:38:48.127344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.