DenseNet121 chest X-ray classifier compressed 51.43% (6.97M → 3.38M parameters) at constant accuracy (AUROC +0.0003). Compression makes channel attribution atomic enough for surgical correction: 5-channel weight zeroing reduces a target false positive by ∆prob −0.13 with zero true-positive loss and exactly zero AUROC change on the other 13 pathologies. Polarized channels reframed as bipolar discriminative axes exploiting label mutual exclusivity (Jaccard < 0.1 in 89 of 100 polarized channels, zero architectural conflicts).