Routing by Reasoning Need: Trajectory-Aware Decoding Control for Diffusion Vision-Language Models

Diffusion vision-language models generate answers through iterative refinement, exposing intermediate answer trajectories that can be inspected and controlled at inference time. However, this controllability creates a reasoning-need mismatch, where a universal generation length is applied to questio