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Language models struggle with modal logic, often performing below baseline expectations, but a simple switch to reasoning mode can dramatically enhance their accuracy.
Reasoning Core achieves unprecedented performance in completion-supervised reasoning tasks, outpacing existing procedural datasets and revealing critical design insights for effective training.