A training-free, generative approach that infers object removal order by exploiting statistical co-occurrence and asymmetry priors learned by generative models.

We provide a counterfactual semantics for hybrid dynamical systems and prove that intervention preserves sufficient conditions for solution existence, uniqueness, and measurability.