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Continuous 3D reconstruction is fundamentally a matter of memory—what to keep and in what format. LingBot-Map addresses this with Geometric Context Attention (GCA), a small yet structured continuous flow state that is learned end-to-end. GCA maintains three complementary contexts: an anchor for coordinate and scale anchoring, a local pose reference window for dense local geometry, and a trajectory memory that compresses the entire history into compact tokens per frame—keeping memory and computational power per frame virtually constant across sequences of over 10,000 frames at approximately 20 FPS.