Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence

At the core of modern prompting techniques is contextual sensitivity, the ability of large language models to adapt their predictions based on inference-time context. Despite its central role, inference behavior under strong contextual influence remains poorly understood, particularly at the level o