{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:S5BJGEIP4HARFIC6M2LTHBD3DH","short_pith_number":"pith:S5BJGEIP","schema_version":"1.0","canonical_sha256":"974293110fe1c112a05e669733847b19cd8b45357eafcd442ee01dbd6b9e8e20","source":{"kind":"arxiv","id":"2605.17992","version":1},"attestation_state":"computed","paper":{"title":"PipeANN-Filter: An Efficient Filtered Vector Search System on SSD","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.OS","authors_text":"Hao Guo, Jiwu Shu, Youyou Lu","submitted_at":"2026-05-18T07:48:53Z","abstract_excerpt":"We propose PipeANN-Filter, an efficient filtered vector search system on SSD. Unlike existing systems that explore only valid vectors (i.e., those satisfying the attribute constraints) during search, PipeANN-Filter explores a superset of valid vectors, and performs attribute verification after getting the top-k closest result vectors. This allows PipeANN-Filter to leverage probabilistic data structures (e.g., Bloom filters) to identify the superset, trading off a small number of false-positive vector explorations for a massive reduction in SSD I/O for attribute reading. Evaluations show that P"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.17992","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OS","submitted_at":"2026-05-18T07:48:53Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"91de9b51a31de76522062580b915401e0e90dcc9d2fa002a46e85de4244c65a7","abstract_canon_sha256":"5e94cf66cab0a20b22931ce795176d0979e0bd27052b34de7e2a958d441d6fa4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:10.006251Z","signature_b64":"i3Z9W/X+ES+edNKR68KTAv7Yi0CeXsM3K8uj8c65JIRohht0ZT5oii9s+1dinjwHAd9FKxOh7UJW7P3LcXRADg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"974293110fe1c112a05e669733847b19cd8b45357eafcd442ee01dbd6b9e8e20","last_reissued_at":"2026-05-20T00:05:10.005400Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:10.005400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PipeANN-Filter: An Efficient Filtered Vector Search System on SSD","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.OS","authors_text":"Hao Guo, Jiwu Shu, Youyou Lu","submitted_at":"2026-05-18T07:48:53Z","abstract_excerpt":"We propose PipeANN-Filter, an efficient filtered vector search system on SSD. Unlike existing systems that explore only valid vectors (i.e., those satisfying the attribute constraints) during search, PipeANN-Filter explores a superset of valid vectors, and performs attribute verification after getting the top-k closest result vectors. This allows PipeANN-Filter to leverage probabilistic data structures (e.g., Bloom filters) to identify the superset, trading off a small number of false-positive vector explorations for a massive reduction in SSD I/O for attribute reading. Evaluations show that P"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17992","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/2605.17992/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.551334Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"fa3ceb68bfd41635ea24da5259fd64650f4ab7e7e54b148544b8eccd909fcc43"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.17992","created_at":"2026-05-20T00:05:10.005545+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.17992v1","created_at":"2026-05-20T00:05:10.005545+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17992","created_at":"2026-05-20T00:05:10.005545+00:00"},{"alias_kind":"pith_short_12","alias_value":"S5BJGEIP4HAR","created_at":"2026-05-20T00:05:10.005545+00:00"},{"alias_kind":"pith_short_16","alias_value":"S5BJGEIP4HARFIC6","created_at":"2026-05-20T00:05:10.005545+00:00"},{"alias_kind":"pith_short_8","alias_value":"S5BJGEIP","created_at":"2026-05-20T00:05:10.005545+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH","json":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH.json","graph_json":"https://pith.science/api/pith-number/S5BJGEIP4HARFIC6M2LTHBD3DH/graph.json","events_json":"https://pith.science/api/pith-number/S5BJGEIP4HARFIC6M2LTHBD3DH/events.json","paper":"https://pith.science/paper/S5BJGEIP"},"agent_actions":{"view_html":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH","download_json":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH.json","view_paper":"https://pith.science/paper/S5BJGEIP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.17992&json=true","fetch_graph":"https://pith.science/api/pith-number/S5BJGEIP4HARFIC6M2LTHBD3DH/graph.json","fetch_events":"https://pith.science/api/pith-number/S5BJGEIP4HARFIC6M2LTHBD3DH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH/action/storage_attestation","attest_author":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH/action/author_attestation","sign_citation":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH/action/citation_signature","submit_replication":"https://pith.science/pith/S5BJGEIP4HARFIC6M2LTHBD3DH/action/replication_record"}},"created_at":"2026-05-20T00:05:10.005545+00:00","updated_at":"2026-05-20T00:05:10.005545+00:00"}