A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models [22.7] 時系列推論は時間を第一級軸として扱い、中間証拠を直接答えに組み込む。 本調査では,一段階における直接推論,明示的な中間体による線形連鎖推論,分岐構造推論という3つのファミリーによるトポロジの推論によって,問題を定義し,文献を整理する。 論文参考訳（メタデータ） (Mon, 15 Sep 2025 04:39:50 GMT)
時系列推論に関するサーベイ。
Reasoning Topology — execution structures:
Direct reasoning (single step)
Linear chain reasoning (sequential intermediate steps)
Branch-structured reasoning (exploration, feedback, and aggregation)
Primary Objective — the main intent:
Traditional time series analysis (forecasting, classification, anomaly detection, segmentation)
Explanation and understanding (temporal QA, diagnostics, structure discovery)
Causal inference and decision making (counterfactuals, policy evaluation, decision support)
Time series generation (simulation, editing, synthesis)