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This paper proposes DG-Hard, a post-hoc spectral repair method that recovers capabilities damaged by fine-tuning without retraining, using only the pretrained and fine-tuned checkpoints. It applies Donoho-Gavish hard singular-value thresholding to weight updates to remove noise and restore degraded performance.