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A simple scoring signal is insufficient for self-distillation; explicitly generating a critique before scoring unlocks corrective credit and enables models to solve previously intractable reasoning problems.
LLMs struggle to solve topological grid puzzles not because they can't reason, but because they can't reliably extract and maintain spatial constraints.
