AI RESEARCH
Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent Dynamics
arXiv CS.LG
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ArXi:2605.15465v1 Announce Type: new Physiological time series signals reflect complex, multi-scale dynamical processes of the human body. Existing modeling studies focus on static tasks such as classification, event forecasting, or short-horizon next step prediction, while long-horizon signal-level forecasting and predictive nature of physiological signals remain underexplored. We