{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GMAKPLEXG2XAJ6HQKA6DEC3IM4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"17df20974e4317b4a7532422ef2785e1a07e2196a823492ac1d7644ac9c67721","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-01-29T17:26:47Z","title_canon_sha256":"ca2a8697826343203b7864a3b56be3df31438838201ba2c3bc408ca9f16d6332"},"schema_version":"1.0","source":{"id":"2501.17788","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17788","created_at":"2026-07-05T11:32:23Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17788v3","created_at":"2026-07-05T11:32:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17788","created_at":"2026-07-05T11:32:23Z"},{"alias_kind":"pith_short_12","alias_value":"GMAKPLEXG2XA","created_at":"2026-07-05T11:32:23Z"},{"alias_kind":"pith_short_16","alias_value":"GMAKPLEXG2XAJ6HQ","created_at":"2026-07-05T11:32:23Z"},{"alias_kind":"pith_short_8","alias_value":"GMAKPLEX","created_at":"2026-07-05T11:32:23Z"}],"graph_snapshots":[{"event_id":"sha256:c3e26ef513b5c5a43e6aa4a37e912ed41bb4f6011044c9dc2fc6fd9250eeac82","target":"graph","created_at":"2026-07-05T11:32:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.17788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-vector retrieval methods such as ColBERT and its recent variant, the ConteXtualized Token Retriever (XTR), offer high accuracy but face efficiency challenges at scale. To address this, we present WARP, a retrieval engine that substantially improves the efficiency of retrievers trained with the XTR objective through three key innovations: (1) WARP$_\\text{SELECT}$ for dynamic similarity imputation; (2) implicit decompression, avoiding costly vector reconstruction during retrieval; and (3) a two-stage reduction process for efficient score aggregation. Combined with highly-optimized C++ kern","authors_text":"Christopher Potts, Gustavo Alonso, Jan Luca Scheerer, Matei Zaharia, Omar Khattab","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-01-29T17:26:47Z","title":"WARP: An Efficient Engine for Multi-Vector Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17788","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:7cd2235b5b1a6b3705fd5f6a4673f03b39a118257c9857cce7ed4e6207f3ae27","target":"record","created_at":"2026-07-05T11:32:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"17df20974e4317b4a7532422ef2785e1a07e2196a823492ac1d7644ac9c67721","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-01-29T17:26:47Z","title_canon_sha256":"ca2a8697826343203b7864a3b56be3df31438838201ba2c3bc408ca9f16d6332"},"schema_version":"1.0","source":{"id":"2501.17788","kind":"arxiv","version":3}},"canonical_sha256":"3300a7ac9736ae04f8f0503c320b6867384499cf6109a5c46557f0b2ee427a3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3300a7ac9736ae04f8f0503c320b6867384499cf6109a5c46557f0b2ee427a3f","first_computed_at":"2026-07-05T11:32:23.906092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:23.906092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OCg2wZbOMpNNn9WkuPUfn0PwRUhb2/CsIp4Pe0AqSCUL0v/2nnv5R6VsCDT9AM65sc44zNpFTrDgNpYtgt2MBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:23.906604Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.17788","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cd2235b5b1a6b3705fd5f6a4673f03b39a118257c9857cce7ed4e6207f3ae27","sha256:c3e26ef513b5c5a43e6aa4a37e912ed41bb4f6011044c9dc2fc6fd9250eeac82"],"state_sha256":"39b9a497c94257511a5d084a28f12bd35bd774186eb26f2acba88a23c87f0984"}