Author

Lorenz K. Müller

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#artificial intelligence Review Sep 2026

GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement

This work introduces GitScholar, a novel dataset that links GitHub activity from 444,000 repositories to over 558,000 AI arXiv papers and finds that GitHub signal offers near-complete coverage of high-impact AI papers, and consistently correlates with future academic success.

Emilien Guandalino, Lorenz K. Mueller, Beatrice Alessandra Motetti et al. · 0 citations

Preprint Aug 2026

Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports

Wyvern is proposed, a multi-agent framework for the automated generation of grounded, multimodal technical reports, allowing for the generation of multimodal outputs, integrating images, tables, and text with supporting references in a unified report.

Beatrice Alessandra Motetti, Emilien Guandalino, D. J. Pagliari et al. · 0 citations