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Retrieval-augmented systems increasingly rely on vector indexes that may retain deleted items in their search graph. Existing deletion interfaces can prevent deleted identifiers from appearing in returned results while still computing distances to their embeddings during graph traversal. We formalize this distinction a...
Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latency, quality, and memory budgets change. Tuning a quantizer separately for each rate gives the best quality, but the retrieval tier then holds several code streams and quantizer states at once. We introduce Matryoshka Resi...
This work proposes Streaming4D, a tightly coupled synchronous pipeline that integrates block-wise autoregressive video generation with incremental 3D reconstruction, and instantiates it using a Self-Forcing-style autoregressive generator and an incremental reconstruction backend.
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