The TGPO algorithm uses reinforcement learning with verifiable rewards to fix temporal blindness in multimodal models. Current MLLMs often rely on spatial shortcuts rather than event ordering in egocentric video. This method explicitly rewards correct temporal reasoning. It helps models better understand the evolution of actions in first-person perspectives for Apple research.