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This work introduces \lifd{} (Look, Imagine, Focus, and Do), a framework for persistent, 3D-aware scene memory that learns scene tokens through multi-view agreement, then completes them from a single RGB view and recurrent memory using rectified flow.
Dual-Frontier, a learning principle that admits a world-model-guided decision only when its predicted advantage exceeds a certified bound on decision-relevant world-model error; otherwise, evidence is allocated to world-model verification.
StateTrace is proposed, a novel object-centric framework that endows VideoLLMs with an explicit mechanism for hidden state reasoning in long videos, and builds a reusable spatiotemporal state memory that organizes object trajectories, inter-object relations, and state-transition events into a structured reasoning subst...
Trajectory-Aware Commit Gating (TACG), a training-free gate-level decoder that anchors token identities to the base posterior and uses trajectory-aware signals only to decide whether the current proposal is ready to commit, is proposed.
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