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Bibliographic Details
Main Authors: Ning, Kanghui, Pan, Zijie, Jiang, Yushan, Schneider, Anderson, Nevmyvaka, Yuriy, Song, Dongjin
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2510.16980
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Table of Contents:
  • Time series reasoning is emerging as the next frontier in temporal analysis, aiming to move beyond pattern recognition towards explicit, interpretable, and trustworthy inference. This paper presents a BlueSky vision built on two complementary directions. One builds robust foundations for time series reasoning, centered on comprehensive temporal understanding, structured multi-step reasoning, and faithful evaluation frameworks. The other advances system-level reasoning, moving beyond language-only explanations by incorporating multi-agent collaboration, multi-modal context, and retrieval-augmented approaches. Together, these directions outline a flexible and extensible framework for advancing time series reasoning, aiming to deliver interpretable and trustworthy temporal intelligence across diverse domains.