Dr-CiK: A Testbed for Foresight-Driven Agents

ArXi:2605.27904v1 Announce Type: new Time series forecasting in real-world settings often depends not only on historical observations, but also on external context that must be actively discovered from noisy, heterogeneous information sources. Yet existing context-aided forecasting benchmarks typically assume that the ing context is already provided, leaving open whether agents can identify it on their own. Therefore, we