nx_skintex_train_gate.nx

nx_skintex_train_gate.nx -- ★★P4 NEURAL RUNG 1: a TRAINED sovereign neural SKIN-TEXTURE model. A coordinate MLP (Fourier features -> 40 ReLU -> rgb; the SIREN/FFN/Instant-NGP family, per the banked ntex_* frontier) is trained by HAND-ROLLED INTEGER (Q12) backprop on a REAL 48x48 skin patch cropped from the Elara exemplar, persisted as quantized integer weights, and re-rendered by integer-only inference -- the ENTIRE P4 pipeline (data -> train -> persist -> integer inference -> render) proven end-to-end at a scale we win today. Honest boundary: this is EXEMPLAR-FIT (a compressed, resolution-free representation of one patch), not yet a GENERATIVE skin model -- that is R2 (latent-conditioned family / NCA stationary synthesis). T1 training CONVERGES: final reconstruction error < 1/4 of the untrained error T2 close reconstruction: final mean |err| per channel < 26/255 T3 PERSISTENCE: integer weights file -> reload -> re-render is BIT-IDENTICAL (the deploy path) T4 RESOLUTION-FREE: renders at 4x coordinate density (192x192, smooth continuous zoom -- the coordinate-net win over a stored bitmap) + PNG knowledge/nx_skintex.png (exemplar | reconstruction | 4x zoom) license_tier: ORIGINAL expect_exit: 0