For Gaussian trait-state processes, a temporal-aggregate label's variance splits into a permanent trait part and a shrinking state part, and the effective timescale of a window is set by the label functional.
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The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning
For Gaussian trait-state processes, a temporal-aggregate label's variance splits into a permanent trait part and a shrinking state part, and the effective timescale of a window is set by the label functional.