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TimeInteract: Towards Real-Time Interactive Intelligence for Streaming Time Series

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

Real-world time series evolve continuously, with meaningful changes potentially emerging at any moment. However, existing time-series language models (TSLMs) remain inherently static. They either receive complete sequences for offline processing or alternate between streaming input and response generation, which prevents processing of new observations during interaction. We introduce a new regime, Time-Series Interaction: a model continuously perceives incoming time-series observations and user intent, autonomously decides when to remain silent or respond, and continues processing new observat

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