Cadence: Error-Bounded Lossy Compression of Demand Time Series with a Time-Series Foundation Model

Roberto Tacconelli

We present Cadence, an error-bounded lossy compressor for numeric time series pairing a 330M-parameter time-series foundation model (Google TimesFM-3) with an adaptive arithmetic c…