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Future scene geometry, not pixel data, is the key to unlocking superior driving policies in autonomous systems.
\textsc{Sieve} achieves higher accuracy with significantly fewer tokens by intelligently filtering webpage content based on structure, revolutionizing how deep-research agents retrieve information.
Agents can now "hallucinate" optimal viewpoints for reasoning by storing and re-rendering scenes with 3D Gaussian Splatting, enabling recovery from initial observation failures.
Explicitly reconstructing 3D scenes with Gaussian Splatting unlocks state-of-the-art BEV perception, proving that geometric understanding is key to accurate spatial reasoning.