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Fracast-0: Fractal Weight Sharing for a Time Series Foundation Model with Only 85K Parameters
Time series foundation models must preserve multi-domain breadth, probabilistic output, and multiple temporal scales, but parameter count grows when each scale receives a separate representation. We introduce Fracast-0, a probabilistic forecasting foundation model that exploits temporal self-similar
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