blockwise-scaling

This paper studies quantization of recursive reasoning models where weight-tied blocks are reused, finding that per-tensor 4-bit quantization causes catastrophic drift but per-block scaling (e.g., MXInt4) restores accuracy, with deeper architectures being more sensitive.