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Forget painstakingly curating 3D-consistent datasets: this RL approach uses a 3D foundation model to *verify* consistency, turning 3D scene editing into a tractable reinforcement learning problem.
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.
