AI RESEARCH
AION: Next-Generation Tasks and Practical Harness for Time Series
arXiv CS.AI
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ArXi:2605.25045v1 Announce Type: new Time series research is moving beyond fixed forecasting benchmarks toward realistic tasks that combine prediction, contextual reasoning, tool use, and structured decision. Most benchmarks are built around clean data and short evaluation loops; agents alone may miss temporal constraints, evidence checks, or review before finalizing outputs. We first formalize next-generation time series tasks as three-component tuples consisting of a task file, a workspace, and a validation interface.