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Long-tail semantic failures in document understanding are exposed when models are forced to reason with a unified vocabulary of visual anchors rather than treating elements in isolation.
Hindsight Supervised Learning transforms agent rollouts into a rich source of supervision, achieving superior performance with only a fraction of the required demonstrations.