Paper Citation Record · LEDGER

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.10737.

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

pith.paper-citation-record.v1
2409.10737 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:41.674861Z

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

3
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 05908aa8-c213-4afa-a586-111c7ef87427 · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:41.674861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392d5f05-04c2-4d13-9c95-951459ab761f · inbound

SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows cites this paper.

SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:55.043319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f25f09-5c38-4b63-b90b-874471d97132 · inbound

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:00.589929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39bb98b-772d-45d2-8888-9bc200f57d33 · inbound

A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection cites this paper.

A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:05:45.018116Z

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.

Observation 4758659c-a73c-48ac-b740-7182b71a603d · inbound

Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study cites this paper.

Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:20:10.430661Z

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.

Observation 70fa3857-119c-4901-b76d-94df775422ca · inbound

IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development cites this paper.

IACDM: Interactive Adversarial Convergence Development Methodology -- A Structured Framework for AI-Assisted Software Development AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:03:29.023219Z

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.

Observation de3b250f-7984-4e84-8ffa-ac4f667740a0 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.583424Z

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.

Observation cc28f665-9a50-4722-9425-d024f69c6b5b · inbound

Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs cites this paper.

Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:46:33.100782Z

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.

Observation 407c6bd7-12ce-4454-bb98-f23238e4798a · inbound

Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving cites this paper.

Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:16:58.642452Z

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.

Observation 424d2407-e1b0-4f7d-8e4e-dcbc1b22c86e · inbound

SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward cites this paper.

SoK: AI Secure Code Generation: Progress, Pitfalls, and Paths Forward AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:40:02.829617Z

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.

Observation dc7e7337-b372-4649-93d8-003317667dde · inbound

The Illusion of Secure LLM Code: Closing the Security Gap via Iterative Reprompting cites this paper.

The Illusion of Secure LLM Code: Closing the Security Gap via Iterative Reprompting AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T15:13:30.439964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.