Preprint
Aug 2026
Delayed Optimizer-State Transport Shapes Short-Horizon Training Decisions
On committed future-minibatch sequences, optimizer memory and near-future data order are actionable components of the training state, providing a mechanism-based criterion for when finite-horizon rather than one-step intervention is required.
Jinhui Guo
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