Four Models in One Training Loop: Architecting SDAR on AWS (Before Renting a Single GPU)

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Recap. In Part 1 we landed on the core idea of SDAR (arXiv:2605.15155): keep RL as the backbone, bolt on a privileged teacher for dense token-level guidance, and put a sigmoid gate between them so the student amplifies the tea

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