OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

ArXi:2604.18486v1 Announce Type: cross Chain-of-Thought (CoT) reasoning has become a powerful driver of trajectory prediction in VLA-based autonomous driving, yet its autoregressive nature imposes a latency cost that is prohibitive for real-time deployment. Latent CoT methods attempt to close this gap by compressing reasoning into continuous hidden states, but consistently fall short of their explicit counterparts.