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Background: A model-agnostic plugin for time series forecasting enhances base models by performing spectral decomposition on channel-patch dependencies via an adaptive routing mechanism.

Question / Future Work: The applicability of this method should be explored for a wider range of structured prediction tasks beyond time series forecasting, including spatiotemporal event forecasting and multivariate anomaly detection.

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