Fine-tuning a 7B model to match empirical next-event distributions from repeated concurrent Go executions yields 36.2% accuracy on 798 held-out production bug traces while improving calibration over standard cross-entropy training.
arXiv:2603.03683 (2026)
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When the Next Step Is Not One Step: Distribution-Aware Execution Modeling for Concurrent Go Programs
Fine-tuning a 7B model to match empirical next-event distributions from repeated concurrent Go executions yields 36.2% accuracy on 798 held-out production bug traces while improving calibration over standard cross-entropy training.