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RLVR optimization pressure, not supervised fine-tuning, is the theoretical driver of unbounded language drift in LLM chains of thought.
Constrained decoding, previously impractical for complex grammars, is now feasible at scale thanks to a novel token space compression technique that slashes latency by up to 100x.
