2 papers
cs.CL2026
Visualizing Graph-to-Answer Mechanism Recovery in Materials-Science Hypothesis Generation
Shashwat Sourav, Subhadeep Pal, Markus J. Buehler +4
AI co-scientists can generate fluent materials-science hypotheses, but fluency does not show that an answer preserves a scientifically meaningful mechanism. We present a graph-to-a…
cs.AI2026
Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence
Fiona Y. Wang, Markus J. Buehler
Scientific discovery is not only answer generation but revision of the representational regime in which evidence, artifacts, operations, and verifiers are typed. We develop a categ…