mlsanityData to 7 Oct 2026

CodeGenLink: A Tool to Find the Likely Origin and License of Automatically Generated Code

arXiv 2510.01077 ↗First posted 1 Oct 2025cs.SE cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Large Language Models (LLMs) are widely used in software development tasks nowadays. Unlike reusing code taken from the Web, for LLMs' generated code, developers are concerned about its lack of trustworthiness and possible copyright or licensing violations, due to the lack of code provenance information. This paper proposes CodeGenLink, a GitHub CoPilot extension for Visual Studio Code aimed at (i) suggesting links containing code very similar to automatically generated code, and (ii) whenever possible, indicating the license of the likely origin of the code. CodeGenLink retrieves candidate links by combining LLMs with their web search features and then performs similarity analysis between the generated and retrieved code. Preliminary results show that CodeGenLink effectively filters unrelated links via similarity analysis and provides licensing information when available. Tool URL: https://github.com/danielebifolco/CodeGenLink Tool Video: https://youtu.be/M6nqjBf9_pw

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 18 references that are in the map. First posted on arXiv 1 Oct 2025.

Builds on

10 of 18 references.

References · 10

  1. 2019CodeSearchNet Challenge: Evaluating the State of Semantic Code Searchcited by 638
  2. 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
  3. 2023Large Language Models for Software Engineering: Survey and Open Problemscited by 178
  4. 2023Unveiling Memorization in Code Modelscited by 29
  5. 2024Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Studycited by 16
  6. 2024LiCoEval: Evaluating LLMs on License Compliance in Code Generationcited by 13
  7. 2024Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Codecited by 8
  8. 2024An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasetscited by 8
  9. 2025On the Possibility of Breaking Copyleft Licenses When Reusing Code Generated by ChatGPTcited by 3
  10. 2025Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilotcited by 2

Built on by

Not cited yet.