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 complete sequences for offline processing or…