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arXiv1d ago
4.8

GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution

Nitin Choudhury, Bikrant Bikram Pratap Maurya, Bhavinkumar Vinodbhai Kuwar, Arun Balaji Buduru

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
code-generationllm-attributionsecurity

Opportunity Brief

Build a CLI-based attribution scanner that uses hyperbolic embeddings to fingerprint code snippets. This can help developers audit code bases to detect potential AI-generated code leaks or licensing violations.

Suggested repo: gocoma-scanner

"Identify if that code was written by a human or a specific LLM."

Estimated effort: 40h