OSCAR: Orchestrated Self-verification and Cross-path Refinement

ArXi:2604.01624v2 Announce Type: replace Diffusion language models (DLMs) expose their denoising trajectories, offering a natural handle for inference-time control; accordingly, an ideal hallucination mitigation framework should intervene during generation using this model-native signal rather than relying on an externally trained hallucination classifier.