Remark. Depth reuse across passes, parameters, and tasks [ftip-00KT]
Remark. Depth reuse across passes, parameters, and tasks [ftip-00KT]
The cited looped, virtual-depth, latent-feedback, and recirculation results do not show that more passes always improve capability, that parameter sharing dominates added parameters, or that inference-time gains transfer to training or to another task family. Each transfer requires a matched model-instance record.