Causal Abstraction Learning for Multi-Modal Grounded World Models

A new paper formalizes causal abstraction learning across modalities for world models, bridging theoretical causal reasoning with practical grounding. Could enable more sample-efficient and generalizable agents. Not a startup signal yet, but foundational for causal AGI architectures.