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Proposes TempoWave, a plug-and-play temporal wavelet digit interface that maps time series observations into digit-wise embeddings from multi-wavelet coefficients, improving LLM-based time series forecasting and achieving state-of-the-art on multiple benchmarks.
Introduces Adelic operation-preserved embeddings (AOE), a training-free representation that encodes numbers by combining real value with p-adic expansions, preserving additive and multiplicative structure. Achieves perfect accuracy on the Weaving Pattern benchmark.