M3.7 — Residual Stream, Normalization, and Block Assembly
A derivation- and implementation-oriented reconstruction of residual learning, LayerNorm and RMSNorm geometry, backward flow, Pre-LN/Post-LN ordering, depth scaling, dropout, and Transformer block variants.