Recurrent Looped Transformer with Scaling Reasoning Depth

This architecture implements a recurrent path through the full decoder for every token, allowing reasoning depth to grow with sequence length. After t tokens, the model traverses tL_D decoder blocks, providing dynamic computational scaling while maintaining a fixed per-token block count.