{"as_of":"2026-08-08T05:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d4f9d1bb3996bc4b281dde3efdc0b89df74c994a291e272d0ec064a98d584bc","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:24:03.709786Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.02617/citation-record","integrity":"/paper/2506.02617/integrity","json":"/paper/2506.02617/citation-record.json","paper":"/paper/2506.02617"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:09.769767Z","title":null,"venue":null,"work_id":"d4cbfa9c-1185-4df8-a523-23f107aa1136","year":2013},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.342195Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:bcdffd93e79cc752540f6f8f2aee302f1d9f224d16b7152b8fdcf24d1ea3d115","observation_id":"202f60b1-2591-4129-8c95-f1b49305f0fa","resolution":{"observed_at":"2026-08-07T11:24:09.833994Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:09.627736Z","title":"Approximate nearest neighbor queries in fixed dimensions,","venue":null,"work_id":"35a44491-0080-4ddb-adf5-691f41b885ef","year":1993},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.403071Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:c4867b86ddb6e6120bc9416561786a3be9e2024e3ec6e630be68fe6196d2bf8f","observation_id":"acc3e7c3-ec68-4124-922e-fbd7c53975d0","resolution":{"observed_at":"2026-08-07T11:24:09.698246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:09.465619Z","title":null,"venue":null,"work_id":"a630076d-1854-4062-9b2d-4294a8c1bd21","year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.471327Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:7e779fa5e8c58192bbae4c3b88ee6d039e2e7fb659220c452524e14a19327f64","observation_id":"f2a9c9f3-b209-4d55-a535-3a7c650a136c","resolution":{"observed_at":"2026-08-07T11:24:09.543224Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04026","last_updated":"2024-08-21T06:52:04Z","snapshot_observed_at":"2026-08-02T16:35:13.377093Z","submitted_at":"2022-03-08T11:40:23Z","title":"Toward Understanding Deep Learning Framework Bugs","version":4},"cited_work":{"arxiv_id":"2203.04026","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.04026","snapshot_observed_at":"2026-08-07T11:24:05.478835Z","title":"Toward Understanding Deep Learning Framework Bugs","venue":"cs.SE","work_id":"87a8b3d6-59aa-4214-804d-524b62b1304c","year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.532873Z"},"links":{"cited_paper":"/paper/2203.04026","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:cce4cba09ee3a80850fdb48755be0cc854973daffe6d00e559b6331363ec25ad","observation_id":"2704a444-7bab-45c4-86f7-9caa04915932","resolution":{"observed_at":"2026-08-07T11:24:05.648473Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:09.344219Z","title":null,"venue":null,"work_id":"016c91d7-5b41-4156-b411-6009c7561a6a","year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.589463Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:df27562a1a0e41015d49a1703e3444237067a4eacbaa4289f006c65cd3f24cfc","observation_id":"39c0b35b-273b-4406-9e5b-958c348258ec","resolution":{"observed_at":"2026-08-07T11:24:09.399389Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:00.680746Z","title":"Nearest neighbor pattern classification,","venue":null,"work_id":null,"year":1967},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.680746Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:be103fc9b9e07bc0b0b8cc517722bea26b021f318bf9d8c1f7cdc58c3ff14ec8","observation_id":"033be5f4-c7ce-44f1-bb86-8ea7097f8463","resolution":{"observed_at":"2026-08-07T11:24:00.680746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:00.733984Z","title":"Understanding transaction bugs in database systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.733984Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:bc73e9ea9371e1f9e5e464d8ab22b98b55e86ae8ef25caa38b142dd738a4773b","observation_id":"0e0efb5c-f6de-427b-9c54-9159c7b21cd8","resolution":{"observed_at":"2026-08-07T11:24:00.733984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:09.206631Z","title":"Random projection trees revisited,","venue":null,"work_id":"d75d9d76-2399-478b-b5a2-788782a8e65b","year":2010},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.821791Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:21d613b063d08d4cf3f7cc2894f32aee0e9615da82341357d2cda0402d068c2d","observation_id":"c3a32d7b-6d47-44b0-afbf-15285ce2e78e","resolution":{"observed_at":"2026-08-07T11:24:09.264252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:00.887247Z","title":"Partially relevant video retrieval,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.887247Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:37d49919550b27408f0d87ce6c62600ef596a1c36761777d8bcab193cb4ab998","observation_id":"dbda11f5-476f-493f-af47-d153edc956c8","resolution":{"observed_at":"2026-08-07T11:24:00.887247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:00.974867Z","title":"The faiss library,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:00.974867Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:7e091f13e85ed15c1eb97f7798daad6eba8f7da504872afef173b43e83dd04c0","observation_id":"f528ff2c-d14f-493a-9bf3-add77baf2435","resolution":{"observed_at":"2026-08-07T11:24:00.974867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:01.028240Z","title":"Vector quantization,","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.028240Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:b2209cb1f8c1829963b1a5f6953edc3e7e10354b74a5a23b2138c028f777cc49","observation_id":"3e52adc5-e2f7-4149-9c58-d4b8642b4588","resolution":{"observed_at":"2026-08-07T11:24:01.028240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:09.023347Z","title":null,"venue":null,"work_id":"6edb061a-4b74-48f5-8455-a70e4d43c3a8","year":2025},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.078737Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:7330a32b5f3e53354b016763336a5eaea20ff12aa0691ef0f81b9b20d8267aa8","observation_id":"f2b9a15b-8924-454a-9bb1-0556b164e9b8","resolution":{"observed_at":"2026-08-07T11:24:09.096428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.13843","last_updated":"2022-06-28T09:20:40Z","snapshot_observed_at":"2026-07-06T13:25:24.231699Z","submitted_at":"2022-06-28T09:20:40Z","title":"Manu: A Cloud Native Vector Database Management System","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.13843","snapshot_observed_at":"2026-08-07T11:24:01.187164Z","title":"Manu: A cloud native vector database management system,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.187164Z"},"links":{"cited_paper":"/paper/2206.13843","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:00f71e5f387b210b8d6ac1a76747349fbd0895cc71ed5c426af1ae02099e704a","observation_id":"e1b4d3e7-1f6a-4c01-b721-6ec0e8deddbe","resolution":{"observed_at":"2026-08-07T11:24:01.187164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:08.893794Z","title":"Deep lake: a lakehouse for deep learning,","venue":null,"work_id":"7e74a065-53fb-4ee3-9bd3-34ae14522808","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.244403Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:f24aa376742209320d8a04e66a794aedf0f1bbf7795926215567485291119144","observation_id":"e46b90b3-23dd-4b32-81c8-cf829a40fb05","resolution":{"observed_at":"2026-08-07T11:24:08.955719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:08.635696Z","title":"Product quantization for nearest neighbor search,","venue":null,"work_id":"fd44bad2-b73a-4dea-bd6b-a13cc72d9ffb","year":2011},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.328076Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:abf531a828dc30360cb41c59af2496dc307a1d692e51cba8a796eec57dd6192a","observation_id":"af4f2a2e-e42b-4885-98d7-a1b2a34280b8","resolution":{"observed_at":"2026-08-07T11:24:08.729201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:08.487332Z","title":"Lancedb,","venue":null,"work_id":"28f91268-609c-4b79-9e42-22a93eb754a7","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.470406Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:268786fff33d7cce38635feb90fcd4130752a66507c363edf178e217499c03b7","observation_id":"f7da4b3d-e661-4c5f-a42c-ef0db567031a","resolution":{"observed_at":"2026-08-07T11:24:08.571216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:08.357409Z","title":"Langchain,","venue":null,"work_id":"e8f04ec7-867b-42b9-8c5a-412cada72b7f","year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.562798Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:f08a1f41ad4fc77d19613cafcaa95eb362e1b578a9046e5ae07bdef2ea4ce7fd","observation_id":"e6cd5a6e-3fb1-492e-a564-1e202537da00","resolution":{"observed_at":"2026-08-07T11:24:08.411256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15008","last_updated":"2024-05-23T19:26:29Z","snapshot_observed_at":"2026-07-06T18:18:55.992177Z","submitted_at":"2024-05-23T19:26:29Z","title":"An Empirical Study on the Characteristics of Database Access Bugs in Java Applications","version":1},"cited_work":{"arxiv_id":"2405.15008","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.15008","snapshot_observed_at":"2026-08-07T11:24:05.066051Z","title":"An Empirical Study on the Characteristics of Database Access Bugs in Java Applications","venue":"cs.SE","work_id":"303e01cd-6fd4-4596-99fb-2384b7a5e56b","year":2024},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.661330Z"},"links":{"cited_paper":"/paper/2405.15008","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:4ffa752b9537990b8155feae2862d1226e76da11e21ed10101656c72b6801c3d","observation_id":"62026936-f0ee-4527-8041-aa4b44ad3119","resolution":{"observed_at":"2026-08-07T11:24:05.179072Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:08.245217Z","title":"Llamaindex,","venue":null,"work_id":"bb851dff-68f2-4019-9573-c0528b054ae8","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.753418Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:2b9d0a1e906439489d31b603ddbb133ffefc0d07ff8966fe9cddde6ac63506e1","observation_id":"86197fd0-9734-4c75-91f2-ac8d0eeb1bec","resolution":{"observed_at":"2026-08-07T11:24:08.280326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:08.085915Z","title":"The next stop for vector databases: 8 predictions for 2023,","venue":null,"work_id":"c77ca71c-1bac-4f0a-9484-fa9e43f1d3aa","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.853608Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:b486c9e522cae0c61ad482d14db50044b958241fa2cccbbd0a79ac57b3ccf1ed","observation_id":"1818c1b8-4b1d-4922-ae6b-b851f4f1abb6","resolution":{"observed_at":"2026-08-07T11:24:08.156218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:01.908676Z","title":"Efficient and robust approxi- mate nearest neighbor search using hierarchical navigable small world graphs,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.908676Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:b12096f5d4a8a001cdf88f4ab4b689ebb8c37c4d5f3769ff67ec11655778bf76","observation_id":"3602bb3d-ff3d-420a-a5c6-01c8893cfae5","resolution":{"observed_at":"2026-08-07T11:24:01.908676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:07.940956Z","title":null,"venue":null,"work_id":"46b6ad52-8abf-4b03-b549-8f0efd9ffe8c","year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:01.973283Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:0bc0d13df6f19d78de2ee5080b1674dc1b56693433a63a76b44ce4c610498fe6","observation_id":"afbe4b26-2ded-4305-9ec3-8c58303f6445","resolution":{"observed_at":"2026-08-07T11:24:08.003139Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:07.810226Z","title":"A survey of product quantization,","venue":null,"work_id":"ff5a6a9a-624d-4e4f-955e-545e0dc82831","year":2018},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.029457Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:1cbd5dbc7a2d41c9e779e75c44db8a6dbbb8949a1481a971aac082c14c6cdad0","observation_id":"d31f12d7-23e3-4ca8-901f-8e062ed78438","resolution":{"observed_at":"2026-08-07T11:24:07.880188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:07.682103Z","title":"Fast approximate nearest neighbors with automatic algorithm configuration","venue":null,"work_id":"b1bd8f2f-e65c-44c5-8041-008d9a5d3df6","year":2009},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.108255Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:8c0f83a104a2b4fa269d8fd015cf017be0ca95f2cd0ea1fd087df8ecc20b6bc8","observation_id":"c9e79b8d-2203-4666-9206-f1a6b5f0b598","resolution":{"observed_at":"2026-08-07T11:24:07.745210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:02.187010Z","title":"Survey of vector database management systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.187010Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:27adbc33e2d8f0057c44db185a96c3b6bf802b935e4e224030dd123923607db5","observation_id":"c9bd5f64-24b5-4c77-b839-f70502830d3b","resolution":{"observed_at":"2026-08-07T11:24:02.187010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:07.524700Z","title":"pgvecto.rs,","venue":null,"work_id":"9a44b71c-d918-400f-982a-2efec00cb72a","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.240841Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:85925978372f969b7103ac43cddceffcd7a5c0a8e0ba4151571e51d2e2f08e13","observation_id":"3dacc65b-a50c-427f-a325-bf921690b2b3","resolution":{"observed_at":"2026-08-07T11:24:07.612379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:07.315110Z","title":null,"venue":null,"work_id":"b40c12f0-4c9f-4e5e-ae79-79e681e3f6e0","year":2020},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.307861Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:83c4b425c38f74b7b297b2484981a93778310ea9d47eb333c46fea054071e38f","observation_id":"e2c1c0f1-5266-4374-bfb0-a79c5a4aa745","resolution":{"observed_at":"2026-08-07T11:24:07.439687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:02.375297Z","title":"Towards understanding the faults of javascript-based deep learning systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.375297Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:8a4c155ce3929bcdd2fa5fa9a12a50f41c532ef7c80ce4b252874eef0af2bc9f","observation_id":"dc8e6144-e473-457d-a5eb-0a495670b89e","resolution":{"observed_at":"2026-08-07T11:24:02.375297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:02.482340Z","title":"Detecting optimization bugs in database engines via non-optimizing reference engine construction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.482340Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:d583e08966fbf26c1922b6c9f3150fe83e1b92bec93038277a549d0aac526dd3","observation_id":"dcb453d7-fa9b-4429-9345-1247c8f2edd6","resolution":{"observed_at":"2026-08-07T11:24:02.482340Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:07.134638Z","title":"Optimised kd-trees for fast image descriptor matching,","venue":null,"work_id":"3931ca5d-1103-4d26-a9bb-b4cbfbe3536f","year":2008},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.549145Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:25dd62ef0c4421c642423f19dd5e5fbc64514077ae3f487866caefa3bc855f4d","observation_id":"98b2ab58-3532-4503-926c-acaca37c4c31","resolution":{"observed_at":"2026-08-07T11:24:07.240416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11473","last_updated":"2023-06-11T17:35:02Z","snapshot_observed_at":"2026-07-06T15:18:49.818168Z","submitted_at":"2023-04-22T20:00:06Z","title":"(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis","version":2},"cited_work":{"arxiv_id":"2304.11473","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.11473","snapshot_observed_at":"2026-08-07T11:24:04.773778Z","title":"(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis","venue":"cs.IR","work_id":"f43ee9db-22ff-4f92-b44c-a48940316a72","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.604490Z"},"links":{"cited_paper":"/paper/2304.11473","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:3c57ba270ce33674f850b1303e1bab2033bc8ce0b48154359c9c1c47478a279d","observation_id":"7a53cca5-5dca-42d7-a0fd-c519bbf845ce","resolution":{"observed_at":"2026-08-07T11:24:04.823345Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:06.891717Z","title":null,"venue":null,"work_id":"268c7af1-2e6e-4457-8f75-9238624297b6","year":2020},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.680554Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:7740d855aa3d94d71b72a02821cd2038b8a39a37c37fc79a8bacbe532a6cff4f","observation_id":"68c1b076-0550-4c42-b362-81435dff59ce","resolution":{"observed_at":"2026-08-07T11:24:06.987368Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:06.744510Z","title":"USearch by Unum Cloud,","venue":null,"work_id":"1b60e365-c318-4f7b-ba9d-2b2a45074cb8","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.748137Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:801e41c37399447de56fd317249e1e6cf803f3c93da430e10b34594bce55b10d","observation_id":"86c4d154-cd64-4ca9-bd23-d8da4779aa96","resolution":{"observed_at":"2026-08-07T11:24:06.824208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:06.514491Z","title":null,"venue":null,"work_id":"7fb22708-e5a2-4811-88ca-ae03b235d07a","year":2016},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.843561Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:9968c88d5216867b3e697822c6bd249f724a66c4b336f1c03001e76f4a8100f1","observation_id":"28ee8dc7-5167-44bb-988a-fd65dbbd9ae2","resolution":{"observed_at":"2026-08-07T11:24:06.627964Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:06.293119Z","title":"Cohen’s kappa coeffi- cient as a performance measure for feature selection,","venue":null,"work_id":"7aed7b81-47f4-4f8a-88d4-a4d3dc763968","year":2010},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.922444Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:78a09c59615809cc55e589785bbfa76c88ccee5efe17a14d85c1d4ce885ad37b","observation_id":"7d24a33c-8e65-45f4-8e24-1e1c543e2e96","resolution":{"observed_at":"2026-08-07T11:24:06.431644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:06.076777Z","title":"V oyager,","venue":null,"work_id":"2274212c-8e59-435a-80da-4555549544e3","year":2023},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:02.995041Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:2850a4493f860e3b0907271319533f9d3e399665a4fa006bc7caf819fd86a12c","observation_id":"0b9455d7-cec8-4926-b06a-3f48bb80f462","resolution":{"observed_at":"2026-08-07T11:24:06.162295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:03.095780Z","title":"Milvus: A purpose-built vector data management system,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.095780Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:5fd68cc49219d0bfec9cd32dd12aaf894ccd91f3f66d59bb07d097a890d1f0b5","observation_id":"bb14a243-0371-4d4b-bd4b-78a13362ea82","resolution":{"observed_at":"2026-08-07T11:24:03.095780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:03.172229Z","title":"Milvus: A purpose-built vector data management system,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.172229Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:f757550d9a71bcb498fe56482d6fdd7221aa9e71d389c7558cccedaae82d53b9","observation_id":"cb81d43b-e586-4e39-9004-58f1881a4697","resolution":{"observed_at":"2026-08-07T11:24:03.172229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.00185","last_updated":"2017-04-22T00:19:47Z","snapshot_observed_at":"2026-07-06T04:58:19.485784Z","submitted_at":"2016-06-01T09:23:48Z","title":"A Survey on Learning to Hash","version":2},"cited_work":{"arxiv_id":"1606.00185","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.00185","snapshot_observed_at":"2026-08-07T11:24:04.506439Z","title":"A Survey on Learning to Hash","venue":"cs.CV","work_id":"90f81b2b-684b-47b8-bafa-90010ea61fb2","year":2016},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.261765Z"},"links":{"cited_paper":"/paper/1606.00185","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:d34b95dfea0787201c2d81f446e270be7a3999a37cb6ecc6f17c5c78cd583c3e","observation_id":"c34eb344-d85b-4c5a-a57c-cef1b8576e65","resolution":{"observed_at":"2026-08-07T11:24:04.619717Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.12631","last_updated":"2021-05-10T08:54:16Z","snapshot_observed_at":"2026-07-06T10:36:50.762036Z","submitted_at":"2021-01-29T15:12:35Z","title":"A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.12631","snapshot_observed_at":"2026-08-07T11:24:03.353505Z","title":"A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.353505Z"},"links":{"cited_paper":"/paper/2101.12631","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:46cb543126574ede9a16f0582850994ab70ed81beba0631f1406ebd38fee3b60","observation_id":"1f02c547-0b9d-406f-80e9-e8d17d4a710f","resolution":{"observed_at":"2026-08-07T11:24:03.353505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12736","last_updated":"2024-11-26T13:35:05Z","snapshot_observed_at":"2026-08-03T14:42:58.490364Z","submitted_at":"2024-04-19T09:29:53Z","title":"Large Language Model Supply Chain: A Research Agenda","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12736","snapshot_observed_at":"2026-08-07T11:24:03.464221Z","title":"Large language model supply chain: A research agenda,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.464221Z"},"links":{"cited_paper":"/paper/2404.12736","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:726b6b289ff8d0d17442f8de700487c71450a43497fc4268e45875cc0d98cc7a","observation_id":"31590175-7f66-4005-8506-855c06e1b106","resolution":{"observed_at":"2026-08-07T11:24:03.464221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12497","last_updated":"2026-07-09T13:05:41Z","snapshot_observed_at":"2026-08-07T18:10:20.660653Z","submitted_at":"2025-02-18T03:22:38Z","title":"Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12497","snapshot_observed_at":"2026-08-07T11:24:03.477785Z","title":"Sok: Understanding vulnerabilities in the large language model supply chain,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.477785Z"},"links":{"cited_paper":"/paper/2502.12497","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:a08dcefad230236315e580e521deb18fb761177579688a72357330ced84b3a79","observation_id":"8876e6b3-47af-4d5f-894c-95dc05d51b64","resolution":{"observed_at":"2026-08-07T11:24:03.477785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20812","last_updated":"2025-02-28T07:56:37Z","snapshot_observed_at":"2026-08-07T17:40:36.169635Z","submitted_at":"2025-02-28T07:56:37Z","title":"Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030","version":1},"cited_work":{"arxiv_id":"2502.20812","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.20812","snapshot_observed_at":"2026-08-07T11:24:04.324642Z","title":"Towards Reliable Vector Database Management Systems: A Software Testing Roadmap for 2030","venue":"cs.SE","work_id":"daab8d28-07cd-442c-a3fd-bdaed835fef9","year":2025},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.481093Z"},"links":{"cited_paper":"/paper/2502.20812","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:8ba772357c429d9ec347a4de489265615e52daed2c2026731fdddabb3578ec6c","observation_id":"1f9fd208-b566-4adc-b94e-1abe9b640e73","resolution":{"observed_at":"2026-08-07T11:24:04.429285Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:05.777171Z","title":"Weaviate,","venue":null,"work_id":"f118701d-9216-405f-a299-f8426b85570b","year":2016},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.496405Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:4c779de15dc5a8d9379f6e05549e0bd1c6addcef6a1022cf6439c3518d810b04","observation_id":"582c565a-f1e8-4c50-8fe8-09feded28332","resolution":{"observed_at":"2026-08-07T11:24:05.921315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:03.534456Z","title":"Analyticdb-v: a hybrid analytical engine towards query fusion for structured and unstructured data,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.534456Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:370c37a603063eb5c99f5c00a614bea50a01f898144e18e26a98198bbe2f8c7d","observation_id":"8a514e0e-2e10-443e-8eef-1e2c6557d464","resolution":{"observed_at":"2026-08-07T11:24:03.534456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07940","last_updated":"2022-07-16T13:29:26Z","snapshot_observed_at":"2026-07-06T13:32:04.758043Z","submitted_at":"2022-07-16T13:29:26Z","title":"HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.07940","snapshot_observed_at":"2026-08-07T11:24:03.596540Z","title":"Hqann: Efficient and robust similarity search for hybrid queries with structured and unstructured constraints,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.596540Z"},"links":{"cited_paper":"/paper/2207.07940","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:857e761d32db294d23a1327158b6767abb5bf68e0d0b22b5f17a8ee9849589db","observation_id":"4e2c637d-665a-4ed6-8279-e305ac44baba","resolution":{"observed_at":"2026-08-07T11:24:03.596540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01553","last_updated":"2025-04-07T02:33:21Z","snapshot_observed_at":"2026-08-07T16:15:10.355510Z","submitted_at":"2025-04-02T09:52:54Z","title":"Bhakti: A Lightweight Vector Database Management System for Endowing Large Language Models with Semantic Search Capabilities and Memory","version":2},"cited_work":{"arxiv_id":"2504.01553","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.01553","snapshot_observed_at":"2026-08-07T11:24:04.023989Z","title":"Bhakti: A Lightweight Vector Database Management System for Endowing Large Language Models with Semantic Search Capabilities and Memory","venue":"cs.DB","work_id":"ddc3d462-584b-47c6-aefd-f0b76de6c9a0","year":2025},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.655801Z"},"links":{"cited_paper":"/paper/2504.01553","citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:54cf2fa4223fdb74c23592dec1b56fec32086d1f3f1e64b369e237a7091db587","observation_id":"1772ba9c-4497-4bb8-9070-3b3c0f57ebdd","resolution":{"observed_at":"2026-08-07T11:24:04.144223Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.10940","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:24:03.869126Z","title":"Who you are matters: Bridging topics and social roles via llm-enhanced logical recommendation,","venue":null,"work_id":"d0ce7f46-35cc-48a5-bf14-6c887c5831b0","year":2025},"citing_paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:03.709786Z"},"links":{"citing_paper":"/paper/2506.02617"},"observation_digest":"sha256:2f1d8cf9e68994af0a63d0f291152ea1b655ad4d68459783d41f52a8d8b5e383","observation_id":"81d03c89-32fe-40b6-8f4c-c2b1ee14750d","resolution":{"observed_at":"2026-08-07T11:24:03.935498Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.02617","last_updated":"2025-06-03T08:34:01Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-07T13:13:09.422792Z","submitted_at":"2025-06-03T08:34:01Z","title":"Toward Understanding Bugs in Vector Database Management Systems"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":7,"verified_fuzzy":16},"total_outbound_references":48},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.02617."}