Tracing the Evidence Behind Zero-Shot Time-Series Forecasting: A Source-First Taxonomy and Audit Framework
This paper argues that zero-shot TSF should be governed as an evidence-access claim and proposes a source-first taxonomy that separates three primary evidence sources---frozen LLM prior reuse, parametric time-series pretraining, and retrieval-augmented external memory---from the architectures that implement them.
De-Lu Kong, Wan-Yun Ling, Chen-Xi Liu et al.
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