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About this paper
Tao Xie, Yiqun Zhang, Yiu-ming Cheung
The authors argue that time-series analysis should treat prediction, action, and subsequent observation as a loop, because forecasts can change the outcomes later recorded. They call these records AI-shaped trajectories and propose recording loop provenance, estimating action effects under explicit causal assumptions, and evaluating policy-shaped outcomes. This Blue Sky agenda reports no experiments and does not demonstrate causal identification.
Summary by alphaXiv.
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