Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions

ArXi:2603.22620v1 Announce Type: cross Causal discovery is challenging in general dynamical systems because, without strong structural assumptions, the underlying causal graph may not be identifiable even from interventional data. However, many real-world systems exhibit directional, cascade-like structure, in which components activate sequentially and upstream failures suppress downstream effects.