Causal-fate dynamics of unrealized influence
Causal-fate dynamics explore how influences absent from a present state can persist and affect future evolution. The research formalizes this by tracking latent consequences through finite transport, testing it in neural networks, BGP routing, and Transformers. This framework suggests that unresolved influence carries predictive power across time.