DeepLoop cracks the code for scaling looped (weight-shared) Transformers—where you stretch depth by looping a small stack of layers, not by adding more parameters.
The trick: a new residual-scaling rule (α = (2N)^{1/2}, β = (8N)^{-1/2}) that keeps gradients stable even as the
