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ECHO: Correcting Time Series Foundation Model Forecasts with Historical Analogues and Errors
Time Series Foundation Models (TSFMs) provide general-purpose forecasting capabilities, yet their forecasts can remain misaligned with the temporal characteristics of a target domain. This motivates lightweight forecast correction even when only black-box access to the TSFM is available. Our key obs
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