AINeutralarXiv – CS AI · 7h ago6/10
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A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
A comprehensive survey examines how large language models can reason about time series data through three structural topologies: direct reasoning, linear chain reasoning, and branch-structured reasoning. The research organizes methods across objectives including analysis, explanation, causal inference, and generation, emphasizing the need for evaluation practices that maintain evidence visibility and temporal alignment while balancing computational cost against reliability and reproducibility.