{"paper":{"title":"IVF-TQ: Streaming-Robust Approximate Nearest Neighbor Search via a Codebook-Free Residual Layer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.DB","cs.IR"],"primary_cat":"cs.LG","authors_text":"Tarun Sharma","submitted_at":"2026-05-17T12:22:49Z","abstract_excerpt":"We propose IVF-TQ, an IVF index with a codebook-free residual layer: a fixed random rotation followed by precomputed Lloyd-Max scalar quantization depending only on (b, d). Only the IVF coarse partition is trained. Building on TurboQuant (Zandieh et al., 2025), the design substantially reduces a key failure mode of trained-codebook ANN indexes (PQ, OPQ, ScaNN): staleness under streaming ingestion.Empirical (3 seeds): Per-batch PQ retraining does not recover the streaming gap at any tested bit budget (paired-t p > 0.28 everywhere). On streaming Deep-10M, IVF-TQ holds at 87.4% -> 86.6% (Delta = "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17415","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.17415/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T21:41:57.742609Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.687816Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"cd3d116b69df25270d999454051b7efa9b4faf792dba8543ea371fe46f482ba6"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}