Paper Citation Record · LEDGER

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 8 inbound Pith citation observations for arXiv:2508.21634.

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

pith.paper-citation-record.v1
2508.21634 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:09:57.986659Z

measured 50 of 50 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:48:38.995573Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T22:07:49.158331Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy27
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd247a0c-ebe1-492d-b7ea-64848714a634 · outbound

This paper cites Ai-driven development is here: Should you worry?.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Ai-driven development is here: Should you worry?

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:04.221289Z

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 3c8771ad-e5ec-46d0-a812-e2aa6461701a · outbound

This paper cites Open AI ChatGPT,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Open AI ChatGPT,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:04.065690Z

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 52a86a5c-9b58-42ac-9483-d79a518c4ea9 · outbound

This paper cites GitHub Copilot,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity GitHub Copilot,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:03.830397Z

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 15b1e65f-287a-4b6d-a365-da7d41924e8e · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:54.791877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd74ca8a-7886-4244-9676-f9f395565da9 · outbound

This paper cites Automatic programming: Large language models and beyond,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Automatic programming: Large language models and beyond,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:03.638521Z

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 0c220886-370d-4985-8f12-8cd4006cfdec · outbound

This paper cites an unresolved cited work.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Unresolved cited work

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-05T14:09:58.577896Z

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 541c0d7c-ec12-496d-81f3-ab1c7fd7c1cd · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:03.458142Z

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 1b825099-47c2-4020-8341-2e1b286463bd · outbound

This paper cites Test-driven development and llm- based code generation,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Test-driven development and llm- based code generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:03.242837Z

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 72ecfa1c-470b-4af0-b922-86c1d5712d6f · outbound

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

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:55.151998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 964d0a0b-3c97-457b-9813-1272ea8baf77 · outbound

This paper cites Refining chatgpt-generated code: Characterizing and mitigating code quality issues,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Refining chatgpt-generated code: Characterizing and mitigating code quality issues,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:03.030247Z

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 9ce9129b-7d4d-42a8-898c-26f3028da498 · outbound

This paper cites How secure is ai-generated code: a large-scale comparison of large language models,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity How secure is ai-generated code: a large-scale comparison of large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:02.723384Z

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 2985fa38-bf33-4e7f-b48f-13bd3d6b00ea · outbound

This paper cites Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:55.369454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3368c788-5aad-442e-8875-c3c5f4785a72 · outbound

This paper cites Is stack overflow obsolete? an empirical study of the characteristics of chatgpt answers to stack overflow questions,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Is stack overflow obsolete? an empirical study of the characteristics of chatgpt answers to stack overflow questions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:02.401104Z

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 50699602-fd9a-4d32-bc81-afb72cad88fb · outbound

This paper cites TIOBE Index,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity TIOBE Index,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:02.120299Z

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 0e0dbad7-65b5-4f6f-808e-d684468d9bfd · outbound

This paper cites Qwen2.5-Coder Technical Report.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Qwen2.5-Coder Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:55.593296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61f5a76-3838-4765-a9fa-a51d6d9a188e · outbound

This paper cites PyLint - Python linter,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity PyLint - Python linter,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:01.856301Z

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 6e0e50ab-91ba-4a7f-8cf4-29db2d7bb768 · outbound

This paper cites Source Code Analyzer,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Source Code Analyzer,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:01.587275Z

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 cf008181-df6f-43c2-a070-7cc30f8ad58a · outbound

This paper cites Static Code Analyzer,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Static Code Analyzer,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:55.888969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 139532d8-c59b-4772-b674-e3839a3035d9 · outbound

This paper cites Orthogonal defect classification- a concept for in-process measurements,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Orthogonal defect classification- a concept for in-process measurements,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:01.311395Z

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 d9e8cffb-9da0-432c-baf7-533cfc316c3f · outbound

This paper cites Artifact,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Artifact,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:01.208613Z

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 6110ee88-c33b-4489-81c6-397e11d1a1b5 · outbound

This paper cites Replication Package,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Replication Package,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:00.994233Z

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 480537df-d8cd-4bce-863b-6f7c09717513 · outbound

This paper cites Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:56.238696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959b897f-ab09-41e7-905d-2159ea2f5912 · outbound

This paper cites A quantitative analysis of quality and consistency in ai-generated code,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity A quantitative analysis of quality and consistency in ai-generated code,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:00.787868Z

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 0b5c5f40-ae1c-4250-927c-b8b6d3a83e28 · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s code contri- butions,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Asleep at the keyboard? assessing the security of github copilot’s code contri- butions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:00.610982Z

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 68c890e2-4955-4457-a65d-4fcff1ea80a0 · outbound

This paper cites Security and quality in llm-generated code: A multi-language, multi-model analysis,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Security and quality in llm-generated code: A multi-language, multi-model analysis,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:56.518952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609286d8-7989-4f22-9c68-f8e8456b2b8b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Evaluating Large Language Models Trained on Code

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:56.601746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e42ce8a-8008-49c0-acb2-d0ae643ea9ce · outbound

This paper cites Quality assessment of chatgpt generated code and their use by developers,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Quality assessment of chatgpt generated code and their use by developers,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:00.410149Z

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 07671697-635e-4d0a-8c81-106f7bd169c7 · outbound

This paper cites Quality in, quality out: Investigating training data’s role in ai code generation,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Quality in, quality out: Investigating training data’s role in ai code generation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:00.199786Z

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 824da3d9-ddb3-4e7b-b9a9-325fec174be9 · outbound

This paper cites Understanding defects in generated codes by language models,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Understanding defects in generated codes by language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:10:00.043378Z

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 3baf7547-ada1-499a-bdf5-edb519c541a7 · outbound

This paper cites A taxonomy for python vulnerabilities,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity A taxonomy for python vulnerabilities,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:59.873186Z

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 a35ae279-8291-4bf7-9a9f-0d2c6da73ad2 · outbound

This paper cites A comparative analysis between ai generated code and human written code: A preliminary study,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity A comparative analysis between ai generated code and human written code: A preliminary study,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:59.708793Z

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 37f9a2d5-0a11-4ffe-aeb6-18caf20932f0 · outbound

This paper cites Common Weakness Enumeration,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Common Weakness Enumeration,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:59.564226Z

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 c850c856-27a3-4244-bc6f-31a6845e27dc · outbound

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Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:57.158180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa7f3c4-25ad-43b6-b813-cc2ca163ce02 · outbound

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Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df155891-2fe4-4052-b8ec-de1ced019bda · outbound

This paper cites Top 25 Most Dangerous Software Weaknesses,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Top 25 Most Dangerous Software Weaknesses,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:59.316076Z

Source-reported events for the cited work

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Observation 66dc8469-6a05-4053-ba9b-61cde00ab737 · outbound

This paper cites 2021 OW ASP Top 10,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity 2021 OW ASP Top 10,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:57.416590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9075a529-5aa3-4dff-b369-6b71f893ef7a · outbound

This paper cites Yin, “Lizard,” https://github.com/terryyin/lizard.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Yin, “Lizard,” https://github.com/terryyin/lizard

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:59.138584Z

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 53481b4f-4c5e-43f2-8828-7f7bf741d4a1 · outbound

This paper cites Tiktoken, fast BPE tokenizer,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Tiktoken, fast BPE tokenizer,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:58.993760Z

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 8f209e5b-8166-483a-a4e5-95326726bcbb · outbound

This paper cites Distinguishing llm-generated from human-written code by contrastive learning,.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Distinguishing llm-generated from human-written code by contrastive learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:09:58.805260Z

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 5daf47cf-8bf7-4643-b075-770b689ebc52 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:57.785549Z

Source-reported events for the cited work

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Observation ab8c0954-3dec-41f5-9ce5-df54038fc232 · outbound

This paper cites A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:57.904741Z

Source-reported events for the cited work

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Observation 465d9837-770a-4688-b9e1-6f34c6409b9b · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T14:09:57.986659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7b868547-cb0e-4a3b-a4de-94a28a763040 · inbound

Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows cites this paper.

Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:30.165533Z

Source-reported events for the cited work

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Observation e207daaa-73b1-45f7-93a8-9a85dc68f478 · inbound

Insights into Security-Related AI-Generated Pull Requests cites this paper.

Insights into Security-Related AI-Generated Pull Requests Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:03.509252Z

Source-reported events for the cited work

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Observation f72e36fc-c125-4c40-9697-79ae521e15e8 · inbound

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study cites this paper.

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:12.838067Z

Source-reported events for the cited work

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Observation f9df56bd-59cb-4ca2-bb80-ad7838b7ac31 · inbound

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study cites this paper.

To What Extent Does Agent-generated Code Require Maintenance? An Empirical Study Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.989440Z

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 8ad4b223-273a-4a17-89cd-215c5ba29580 · inbound

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability cites this paper.

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:07:49.160256Z

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 ce605d23-6b14-4cf9-a382-ddca46020d28 · inbound

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability cites this paper.

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T13:48:38.995573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043a8219-dc13-456b-b160-7e3ca492bf6d · inbound

Specification-Driven Development as the Foundation of AI-Native Enterprise Software Engineering cites this paper.

Specification-Driven Development as the Foundation of AI-Native Enterprise Software Engineering Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 34

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Observation c7be172a-fe43-44c1-99de-76cb25a229b4 · inbound

Towards an Agent Operating System - Lessons from Classical and Cloud OS cites this paper.

Towards an Agent Operating System - Lessons from Classical and Cloud OS Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-31T02:02:23.609097Z

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