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Paper Citation Record · LEDGER

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2512.04259.

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

pith.paper-citation-record.v1
2512.04259 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:41:21.255147Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation 349621a9-5105-4119-ad89-854ca063cbbb · outbound

This paper cites Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency

Reference 1

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source=pdf_text observed=2026-08-03T18:41:17.920359Z digest=sha256:4e5b2157750bfab637d47ace1e8f6fb842439b2d0fc2f9ef5a50b9c002970f8c

Observation a8e9e134-6956-44b4-9757-8ec6bc42b638 · outbound

This paper cites https://aws.amazon.com/blogs/devops/introducing-amazon- codewhisperer-dashboard-and-cloudwatch-metrics/ (2024).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code https://aws.amazon.com/blogs/devops/introducing-amazon- codewhisperer-dashboard-and-cloudwatch-metrics/ (2024)

Reference 2

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source=pdf_text observed=2026-08-03T18:41:18.041625Z digest=sha256:f0ef1d224e0697615368087aae2823b24e4053aaece836ce2d0d2af6a4a99246

Observation f0c557fd-b48f-453e-af70-90032b1347b6 · outbound

This paper cites APILOT: Navigating Large Language Models to Generate Secure Code by Sidestepping Outdated API Pitfalls.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code APILOT: Navigating Large Language Models to Generate Secure Code by Sidestepping Outdated API Pitfalls

Reference 3

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source=pdf_text observed=2026-08-03T18:41:18.150339Z digest=sha256:ed337677bbfbf287b0c4b3f4cf2ccee5635e28fc382579ae602fdd6a176f5e71

Observation 2f3baa25-29d5-4bc0-863f-78f3f5d84b53 · outbound

This paper cites Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Benchmarking Prompt Engineering Techniques for Secure Code Generation with GPT Models

Reference 4

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source=pdf_text observed=2026-08-03T18:41:18.266271Z digest=sha256:769d9a7352d6d49b6bbe801eb2dff42743cc1095a4bafb0e5565c2c3af250ce2

Observation ff2de0be-499b-46ba-b43d-6d9b8c7d661e · outbound

This paper cites Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks

Reference 5

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Observation 71d569df-ecf6-4912-8eb2-096b78417695 · outbound

This paper cites IEEE Transactions on Software Engineering (2024).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code IEEE Transactions on Software Engineering (2024)

Reference 6

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source=pdf_text observed=2026-08-03T18:41:18.584207Z digest=sha256:ae37a3782feb85887d9e88e07a2fbebf9aa67fea658fce00973ad12eccd750dc

Observation 7c9a4fae-5833-475f-b320-8793db774bca · outbound

This paper cites ACM Transactions on Software Engineering and Methodology (2025).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code ACM Transactions on Software Engineering and Methodology (2025)

Reference 7

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source=pdf_text observed=2026-08-03T18:41:18.719617Z digest=sha256:8a879e1110ec283df764d762086231c74dc50b9b598c1ea7a6b0b946d04413c6

Observation 66e0f65b-807d-4f5b-ad2c-35adc6847499 · outbound

This paper cites https://github.blog/news-insights/research/survey-reveals-ais-impact-on-the- developer-experience/ (2025), accessed: 2025-05-26.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code https://github.blog/news-insights/research/survey-reveals-ais-impact-on-the- developer-experience/ (2025), accessed: 2025-05-26

Reference 8

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source=pdf_text observed=2026-08-03T18:41:18.897122Z digest=sha256:7b87a9ef2d1eedf51aad023a5d3c1fa426ac2c0b5ce3dbc25919519683905e67

Observation d7b8a764-8187-48ba-b85f-93897ec7935b · outbound

This paper cites In: 2023 ACM SIGSAC Conference on Computer and Communi- cations Security.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: 2023 ACM SIGSAC Conference on Computer and Communi- cations Security

Reference 9

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source=pdf_text observed=2026-08-03T18:41:19.031422Z digest=sha256:a1208fe0f21f8f0a1a34392f8c50278518ccd6d2e79400ce47c7078f47ad869e

Observation abfc2eb6-b644-4cd6-88fd-449d9802921f · outbound

This paper cites The Race to the Vulnerable: Measuring the Log4j Shell Incident.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code The Race to the Vulnerable: Measuring the Log4j Shell Incident

Reference 10

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Observation c760e3d8-7502-47a2-b56a-e84cf625f4a2 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology (2024).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code ACM Transactions on Software Engineering and Methodology (2024)

Reference 11

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Observation 3a80a811-8ef7-4d20-bd25-4b34fb0c2291 · outbound

This paper cites an unresolved cited work.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-03T18:41:19.429605Z digest=sha256:748eecf5e13ad1b1a41c9372bc5c50b05583d4c9f72add5b0e5199e4a6e0607f

Observation b7703182-82df-4644-8439-823b3dc9801f · outbound

This paper cites https://github.com/jkutner/saferegex (2018).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code https://github.com/jkutner/saferegex (2018)

Reference 13

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source=pdf_text observed=2026-08-03T18:41:19.567500Z digest=sha256:5b479d8c1dd57c012c9831b6dc9ddcf583eb1fae5dc386b53a05675c8e17b34f

Observation 1c83f32b-865d-431b-bef4-abe1ceb112e8 · outbound

This paper cites In: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

Reference 14

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source=pdf_text observed=2026-08-03T18:41:19.739609Z digest=sha256:1d7856d43fe45d17b2f28d0d3877f7237d08f9c41906f7c96606162b375a6620

Observation 795cd342-5264-4dc9-88b1-661c427511c9 · outbound

This paper cites In: 30th USENIX Security Symposium.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: 30th USENIX Security Symposium

Reference 15

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source=pdf_text observed=2026-08-03T18:41:19.909314Z digest=sha256:7076a0a6b7622dbd0b76b044926cd75fae4a8cb0f9fd7da9e277bdd0ac220b3c

Observation 65c5f9da-ada4-4548-9409-c68c8e7f7ead · outbound

This paper cites Advances in Neural Information Processing Systems36, 21558–21572 (2023).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Advances in Neural Information Processing Systems36, 21558–21572 (2023)

Reference 16

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source=pdf_text observed=2026-08-03T18:41:20.013478Z digest=sha256:d442ebb217b040e2d7cc97e4e2f22c35285d4f50c8ff804800431d693616a1b8

Observation 8b42da8f-c948-4223-aa9d-9aeeb4bfa20c · outbound

This paper cites In: 2021 IEEE Symposium on Security and Privacy (SP).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: 2021 IEEE Symposium on Security and Privacy (SP)

Reference 17

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source=pdf_text observed=2026-08-03T18:41:20.149773Z digest=sha256:25acb1da854a85482dfa67e13626e893b63b39289d9237d0f5b52ed434dfb171

Observation 2054b02d-f0b9-4c02-a80d-511367a78cce · outbound

This paper cites In: 2024 on ACM SIGSAC Conference on Computer and Communications Security.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: 2024 on ACM SIGSAC Conference on Computer and Communications Security

Reference 18

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source=pdf_text observed=2026-08-03T18:41:20.223970Z digest=sha256:38b7989c57a07badf4be788e50ce77268d45b86a0075696417541fd6ba7963e4

Observation c0f3c94f-eb21-4fd7-997b-5fe8a5cd8032 · outbound

This paper cites owasp.org/www- community/attacks/Regular_expression_Denial_of_Service_-_ReDoS (2025), accessed: 2025-08-04.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code owasp.org/www- community/attacks/Regular_expression_Denial_of_Service_-_ReDoS (2025), accessed: 2025-08-04

Reference 19

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source=pdf_text observed=2026-08-03T18:41:20.293929Z digest=sha256:a667df42281d819e924e5f9d3e9948a75acba9c639dca28338e18f9bdcdf18eb

Observation da5dc6a9-6598-4e7c-9f1b-3abcf750cc41 · outbound

This paper cites ACM Transactions on Software Engineering and Methodology32(1), 1–45 (2023).

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code ACM Transactions on Software Engineering and Methodology32(1), 1–45 (2023)

Reference 20

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source=pdf_text observed=2026-08-03T18:41:20.444695Z digest=sha256:f7f5a412c797ac04cf33f3e6055b2f22304e5f2e76fcdd86259367e6a0cf9a33

Observation c829acae-4cfa-4643-bcc6-b977494e8367 · outbound

This paper cites In: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

Reference 21

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source=pdf_text observed=2026-08-03T18:41:20.598940Z digest=sha256:16eb38d38922a66e76cfa9ff5949b82b9425eedd4499eb887c557fe93f168b48

Observation b00c2e09-bda7-4f3e-ad66-e556a118c686 · outbound

This paper cites In: 34th USENIX Security Symposium.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code In: 34th USENIX Security Symposium

Reference 22

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source=pdf_text observed=2026-08-03T18:41:20.724203Z digest=sha256:5fa891b4a8f49908ad4868760b6ca917e7618351346741d7789ddcfc0bc80b15

Observation 0398e4bb-d8f0-426b-9d48-b71702d89edc · outbound

This paper cites A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification

Reference 23

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source=pdf_text observed=2026-08-03T18:41:20.840152Z digest=sha256:6b302e808c1e80871e9b4f9593c9f8b87a2331b7ec6ed1285158d45b484b65fa

Observation 7ddda4f2-e2c0-41c5-9e9c-3c75afef8e24 · outbound

This paper cites an unresolved cited work.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-03T18:41:20.915544Z digest=sha256:cfc0385bbee7bd8dde6557e1eb29d52c127ff8e4c6e3cb237660fca00e264831

Observation d95378ad-5796-4592-8880-21dcebda23d0 · outbound

This paper cites Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

Reference 25

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source=pdf_text observed=2026-08-03T18:41:21.046690Z digest=sha256:def62b0839aab09625edc1919a7c18b96147379f5eef07f6ebbb16b39f316758

Observation b6baddcf-0ccf-499c-b2aa-be7da9b059f9 · outbound

This paper cites Inducing Vulnerable Code Generation in LLM Coding Assistants.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Inducing Vulnerable Code Generation in LLM Coding Assistants

Reference 26

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source=pdf_text observed=2026-08-03T18:41:21.166902Z digest=sha256:5d681506d9525d9c17f7fe133f40cc64f5fe58f9fad7a5f9c577f3197ad5791a

Observation 6e29ccf6-f651-4237-ac89-0fd223943343 · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 27

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source=pdf_text observed=2026-08-03T18:41:21.255147Z digest=sha256:ffd7385e7456639cd8d9b8eac71c9be2174014eb172e62efedd1ef096871c531

Pith citing papers

No inbound Pith citation observations are available.