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Retrieval Is Not Enough: Refreshing Memory for Frozen Time-Series Forecasters
Retrieval-augmented time-series forecasting uses the continuations of historical segments similar to the current context as references for a forecaster. Most existing methods build the retrieval memory once from the training segment, leaving observations revealed after deployment unavailable as refe
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