AI RESEARCH
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems
arXiv CS.LG
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ArXi:2605.16547v1 Announce Type: new Semantic communication has emerged as a promising paradigm for enabling goal-oriented networking. However, most existing semantic communication solutions are tailored to one-shot tasks and optimize instantaneous performance. Hence, they cannot be used to closed-loop dynamic systems with physical artificial intelligence (AI), in which the transmitted semantics affect not only the current inference outcome but also future control actions, state evolution, and ultimately long-horizon task performance.