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This work introduces a unified multi-agent framework, MAGS, that generates executable programs with formal safety guarantees, using Dafny as a verification-aware intermediate representation where safety properties can be mechanically checked.
Optimal LLM pretraining actually requires *overtraining* when you account for inference costs, overturning conventional scaling wisdom.
