representational learning

Sheaf-Theoretic Transport and Obstruction for Detecting Scientific Theory Shift in AI Agents

This paper introduces a finite sheaf-theoretic framework to detect scientific theory shift in AI agents. It focuses on identifying when an existing representational framework needs extension due to local-to-global obstruction rather than simple deformation.