Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 6 inbound Pith citation observations for arXiv:2506.23034.

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

pith.paper-citation-record.v1
2506.23034 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:56:18.596190Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:35:40.705180Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:16:39.187629Z

Reference resolution

71 of 71 outbound references displayed

verified exact1
verified fuzzy3
unresolved66
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ff9d342-76c2-4b61-bf7a-2f06568368ad · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:23.451183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3044b31d-b146-4672-b88f-a9661246015a · outbound

This paper cites GPT-4 Technical Report.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:12.903896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a155d9c-1b94-4ffd-b786-700d402695a2 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:23.240361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56b9bdbe-4108-4d1e-8b43-b578b3301c52 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.120528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e14e363-ecd0-4f9a-b114-9e2faf840d95 · outbound

This paper cites Program Synthesis with Large Language Models.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Program Synthesis with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.211404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2de48fb-7217-4f70-912c-772645ae31bc · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:22.970387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41ed9028-797f-462b-a408-5b5ccc48c38c · outbound

This paper cites CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.412290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381c30dd-e45d-4868-af24-85cbb8ecd9f9 · outbound

This paper cites Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.509418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c077dd7-5641-476a-beaf-151be54d99cc · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.648579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95497402-8d8d-4dde-993a-b885f5fc314f · outbound

This paper cites Díaz Ferreyra.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Díaz Ferreyra

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.790703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b7a2c7-a617-4620-a95d-74c16efddfe5 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Evaluating Large Language Models Trained on Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:13.913928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef622403-68dc-4788-8970-3b8212141c85 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:22.835364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 099ab0db-451b-4590-8ab1-0a5f28bb2120 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:22.630416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c93150b-bb1e-4124-ac59-55d00c117570 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:14.281597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc2d0c1-b3e9-4116-852c-88522e4d44a3 · outbound

This paper cites The Llama 3 Herd of Models.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:14.378528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4fe08aa-b299-47f2-a5bd-b775423e46be · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:14.502560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c3cb7b-2529-41c1-a67d-7d3d0751ad94 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:14.637311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944f1d4f-09ea-4b67-aed3-b24b26a03386 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:14.812643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d5e3793-da38-420a-b369-0ca315d1327d · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:22.443362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f09ea14-5347-4bff-8c04-402194e7dde7 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:22.225241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 664becac-4e6d-4ffa-ae56-b824f9693ae7 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:22.068759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7abfceaf-1df1-4871-bd14-2a1176458cd0 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.177714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06a1d3e-5c2a-4c84-b795-77004919e5de · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.236015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cda5eb20-ed5a-43ba-a5cb-544a197eaae5 · outbound

This paper cites CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.284469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444ffeff-770e-4774-9a20-57f415a26e2b · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:21.906357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a72346db-7b5d-4369-8d46-9fb2cb1d890f · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:21.732074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4bf3396-faee-4a4c-92bb-0ba74e80e4a9 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.571084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17341fa-f138-438f-ab1b-ac5536098172 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.643667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf2c0ff5-d147-4f38-9318-ace95b7c5197 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.813003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc1990e-4732-4917-9651-91e14b028042 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:21.251473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7aa096ee-fc0b-4f57-952c-28da3934620d · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:15.960455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a11933e-3214-4c08-8645-3bf91e602ba2 · outbound

This paper cites InDeep Learning for Code Workshop.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation InDeep Learning for Code Workshop

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:56:21.451927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91ed04cf-ce39-45cd-9599-a041f5065bdd · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.088997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities.

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 69978a07-0878-4b0f-8835-fc13aace2e3c · outbound

This paper cites APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.258162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2027c3a7-483a-4a08-ae6f-717bde152e03 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.031848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f40feb8-2d47-4504-a545-bc07b6e3ec97 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:20.787227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b09a5185-f90e-478d-b85e-9429dfd6169c · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.129163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c02cb703-b8c7-4e2b-8749-e499767290f0 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.520645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd3183e-d3f1-4098-80ce-906a89d75de1 · outbound

This paper cites On the Security Vulnerabilities of Text-to-SQL Models.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation On the Security Vulnerabilities of Text-to-SQL Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:56:19.085075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03db4cd7-c00c-4d29-88b1-d827ad4d3cb2 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:21.035791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccd0133c-eae8-466b-94cb-8a7b26605aff · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:20.601809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ce9d3a7-7e4a-4a1a-933f-e6a09e47aa59 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.464148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55037949-d80b-4586-913f-7daeff7f655f · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:20.403489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 514fd207-0a8a-41f9-95ec-da0704fcbfcb · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Code Llama: Open Foundation Models for Code

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.990213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beedbbc5-61c8-43bd-82da-f475037927be · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.666941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184b181e-cc8d-48d9-8537-467707e51075 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:17.122797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7406ffa1-a664-4fa0-b22b-7501a5c456de · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:16.839075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb2a24a-fda0-448d-bdfd-91664e3c824e · outbound

This paper cites RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:17.257242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76321b80-7bce-4802-ad99-becd12186589 · outbound

This paper cites Prompting Techniques for Secure Code Generation: A Systematic Investigation.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Prompting Techniques for Secure Code Generation: A Systematic Investigation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:17.328324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b714b66b-5d2a-4afe-8544-81769c0bcdd2 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:20.145297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fbbde43-0fb6-43bd-9fe6-e4c9150e227f · outbound

This paper cites CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:17.452505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5036068-b99c-411d-9814-76a1b5b4af63 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 53

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T21:56:18.955881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35ff4bb3-8ba4-4fbb-9272-ca256ea64992 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:19.853468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45e4f795-f3ee-4a94-a3ed-95e2960e5a93 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:17.722076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecb443c-5029-4e9a-bdee-72adbfe6edb9 · outbound

This paper cites an unresolved cited work.

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:56:20.007256Z

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Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval

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Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation InProceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

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Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models

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Pith citing papers

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Why Do Large Language Models Generate Harmful Content? cites this paper.

Why Do Large Language Models Generate Harmful Content? Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

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On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies cites this paper.

On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

Reference 66

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Quality and Security Signals in AI-Generated Python Refactoring Pull Requests cites this paper.

Quality and Security Signals in AI-Generated Python Refactoring Pull Requests Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

Reference 34

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

Security of LLM-generated Code: A Comparative Analysis Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

Reference 83

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From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python cites this paper.

From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

Reference 33

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Tool-Guided Retrieval-Augmented Repair for Securing LLM-Generated C Code cites this paper.

Tool-Guided Retrieval-Augmented Repair for Securing LLM-Generated C Code Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

Reference 104

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