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Pre-trained models in software projects aren't just libraries; they're sticky dependencies that accumulate over time and evolve based on capability, not just bug fixes.
LLMs are overconfident in automated code revision, but fine-grained calibration can cut their miscalibration error by leveraging local edit decisions.