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Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Gurioli, Andrea, D'Ascenzo, Davide, Pennino, Federico, Gabbrielli, Maurizio, Zacchiroli, Stefano
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering Artificial Intelligence Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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