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Instead of struggling to generate multi-view consistent 3D edits, this paper cleverly uses reinforcement learning to *verify* consistency, unlocking high-quality 3D scene editing from 2D diffusion priors.
FactGuard's agentic framework substantially boosts video misinformation detection by strategically using external tools and reinforcement learning to overcome the inherent limitations of relying solely on internal MLLM reasoning.
