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Paper · arXiv

Causal-fate dynamics of unrealized influence

Many dynamical systems generate influences whose consequences are not fully exhausted in the realized trajectory at the moment they arise. Such consequences are often treated as absent, delayed or statically stored, leaving unclear how unrealized influence retains future relevance as the system evolves. Here we formulate causal-fate dynamics, in which generated influence may be realized, remain latent, or be transformed by subsequent dynamics, and give an exact finite-transport representation when the relevant maps are specified. A connectome-constrained Caenorhabditis elegans model first motivates the biological hypothesis that unresolved inter-neuronal influence may persist and contribu...

AuthorsYiwei Liu, Luwei Yang, Shunbo Lei
Primary categoryeess.SY
Published8 October 2026
Last updated at source8 October 2026
eess.SYcs.LG
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