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This work presents a unified framework for stable and scalable feed-forward 3D reconstruction from long monocular sequences and introduces a hybrid-weight sparse ray-field optimization that leverages high-frequency geometric features to guide local point-cloud refinement and enforce consistent inter-frame ray constraints.