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

arXiv:2609.26389v1 Announce Type: cross Abstract: 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 comple

arXiv cs.AIResearch source·