Paper Citation Record · LEDGER

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2502.05023.

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

pith.paper-citation-record.v1
2502.05023 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:37:50.100440Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy19
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34d8c7f7-85ea-4adc-b2ed-7bdb7395be53 · outbound

This paper cites Large language models for software engineering: A systematic literature review,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Large language models for software engineering: A systematic literature review,

Reference 1

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T20:37:50.473433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d0e7956-3028-4d15-b023-03848d17d0f4 · outbound

This paper cites Large language models for software engineering: Sur- vey and open problems,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Large language models for software engineering: Sur- vey and open problems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.459812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d63d0ef6-5de0-4031-aefe-8e8d98aeda7c · outbound

This paper cites On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.446361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 687e68bd-e8e4-4ad0-97b7-c00cc6a88eef · outbound

This paper cites Gen- erating java methods: An empirical assessment of four ai-based code assistants,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Gen- erating java methods: An empirical assessment of four ai-based code assistants,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.432327Z

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Observation 5f1f33b6-2059-44f0-a118-14baba362d36 · outbound

This paper cites Analyzing prompt influence on automated method generation: An empirical study with copilot,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Analyzing prompt influence on automated method generation: An empirical study with copilot,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.418098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f1583d4-60bd-456f-8bab-ed0282f9e12c · outbound

This paper cites Traces of memorisation in large language models for code,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Traces of memorisation in large language models for code,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.403472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0917728-f6c9-401e-9a69-07f0adf9280e · outbound

This paper cites Unveil- ing memorization in code models,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Unveil- ing memorization in code models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.388700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b20d3e67-520c-4412-ba1b-f7cb1334fa79 · outbound

This paper cites Codeipprompt: Intellectual property infringement assessment of code language models,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Codeipprompt: Intellectual property infringement assessment of code language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.374345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84958ac6-e351-45be-a377-c5b86539fb1d · outbound

This paper cites Large Language Models for Software Engineering: Survey and Open Problems ,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Large Language Models for Software Engineering: Survey and Open Problems ,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.359841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d825ab2-8377-4b4a-931e-fc02a4a30d12 · outbound

This paper cites Large language models for software engi- neering: A systematic literature review,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Large language models for software engi- neering: A systematic literature review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.345982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 911b93ba-16b9-4bae-b18d-a8c738cdd6b6 · outbound

This paper cites Exploring the effectiveness of llms in automated logging statement generation: An empirical study,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Exploring the effectiveness of llms in automated logging statement generation: An empirical study,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.331962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa4cfa1c-5916-4f46-8af8-41516b7d7168 · outbound

This paper cites An empirical evaluation of using large language models for automated unit test generation,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT An empirical evaluation of using large language models for automated unit test generation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T20:37:50.041392Z

Source-reported events for the cited work

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Observation 03e5ea72-2b0c-4406-b202-d695f0ae166b · outbound

This paper cites Automated program repair in the era of large pre-trained language models,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Automated program repair in the era of large pre-trained language models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.309202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bc1e4612-5018-4254-a20e-cc0587a63d13 · outbound

This paper cites Assessing the quality of github copilot’s code generation,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Assessing the quality of github copilot’s code generation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.294944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 430f1b20-f3c7-4427-aec5-cc67d3d105f9 · outbound

This paper cites Expectation vs. experi- ence: Evaluating the usability of code generation tools powered by large language models,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Expectation vs. experi- ence: Evaluating the usability of code generation tools powered by large language models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.281363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cce8c121-bf0c-4180-b444-9a0610c495f8 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T20:37:50.058264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41158895-9110-4e70-80f3-6d478b100ad8 · outbound

This paper cites Studying How Configurations Impact Code Generation in LLMs: the Case of Chat- GPT,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Studying How Configurations Impact Code Generation in LLMs: the Case of Chat- GPT,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.257575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7514bbd8-0011-495f-8fbc-1504009f5bc6 · outbound

This paper cites To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.242046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4452281c-ce84-420e-87d4-f30ae8bb02c8 · outbound

This paper cites an unresolved cited work.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:37:50.227715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5c55b40-2ea3-419f-bee3-0de55555edca · outbound

This paper cites A complexity measure,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT A complexity measure,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.212813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 910b6c60-703b-47a4-8a34-be99b43dde33 · outbound

This paper cites Jplag: State-of-the-art software plagiarism & collusion detec- tion,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Jplag: State-of-the-art software plagiarism & collusion detec- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.198726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation edc4fc77-b8b6-4f4d-886b-2b8c26f8ea4b · outbound

This paper cites (2024) Thefuzz.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT (2024) Thefuzz

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.184110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 62db2e1b-3718-4bb3-bd77-7bdd963bffb2 · outbound

This paper cites Individual comparisons by ranking methods,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Individual comparisons by ranking methods,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T20:37:50.087519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c244ae-88be-41e0-8a68-048386d06394 · outbound

This paper cites Cohen, Statistical power analysis for the behavioral sciences.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Cohen, Statistical power analysis for the behavioral sciences

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T20:37:50.091752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cadbf09-e8e9-4a6d-8453-0b1e06804ec9 · outbound

This paper cites Optimizing Large Language Model Hyperparameters for Code Generation.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT Optimizing Large Language Model Hyperparameters for Code Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T20:37:50.095782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a27a27d-6c46-4ca0-a312-a8a786f819bb · outbound

This paper cites An empirical study of the non-determinism of chatgpt in code generation,.

On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPT An empirical study of the non-determinism of chatgpt in code generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:37:50.151783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.