Causal Effect Identifiability in Causal Abstractions: A Strict Hierarchy of Criteria.

arXiv:2610.13520v1 Announce Type: new Abstract: Identifying causal effects from observational data typically requires a fully specified causal graph, an assumption that is often unrealistic in complex or high-dimensional settings. Causal abstractions address t