{"as_of":"2026-08-10T04:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d14749b4bd7326b89aba3f3b6c3118963bb36fed492cbbee9241de56c504a0c0","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T01:22:31.340970Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2608.00650/citation-record","integrity":"/paper/2608.00650/integrity","json":"/paper/2608.00650/citation-record.json","paper":"/paper/2608.00650"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T01:22:25.685103Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:25.685103Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:9889b3a60d3f9d7e0e4e217bc9de3cfaf6120dee71d87e40d7854ba407ae2903","observation_id":"41352049-b423-46bc-82ca-69d1a5c4cad5","resolution":{"observed_at":"2026-08-04T01:22:25.685103Z","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":"2026-08-04T01:22:25.756491Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:25.756491Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:a144726b9245de07a13c54ec9c3dff429b43c377310709726c1ec7ec090534cc","observation_id":"d1857d18-1ea9-4233-9836-a98cfda098b8","resolution":{"observed_at":"2026-08-04T01:22:25.756491Z","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":"2026-08-04T01:22:25.845552Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:25.845552Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:405809c13d4f49e69e1f863c11be00091942a326c40889caf406932a7b2eaaa1","observation_id":"d79ede72-b525-4404-81ec-17a73954562c","resolution":{"observed_at":"2026-08-04T01:22:25.845552Z","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":"2026-08-04T01:22:25.902884Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:25.902884Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:64a5b98a4001cda98bf9d4f00e3bd98675ae52facde838c3a7cc43cc157c002c","observation_id":"96d21cd7-7ac3-4871-88de-a5b352e0eb38","resolution":{"observed_at":"2026-08-04T01:22:25.902884Z","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":"2026-08-04T01:22:25.999558Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:25.999558Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:7a8233c5f0581cf09e86d15f941af1e0b6987b725d4e97388ad006211921c65a","observation_id":"7df13095-991b-4396-80f8-baef7247de9e","resolution":{"observed_at":"2026-08-04T01:22:25.999558Z","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":"2026-08-04T01:22:26.154749Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:26.154749Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:3154044603337094a1bcfc1cb2c81174a3ddbab71c8b4d2733764a6287eaf9fe","observation_id":"06bc8b68-7708-463e-bad1-02fc95373e2b","resolution":{"observed_at":"2026-08-04T01:22:26.154749Z","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":"2026-08-04T01:22:26.315050Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:26.315050Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:09d5d6444ce39cf3727ef174d5410692c58aa54d5395bd07da681deab92e128a","observation_id":"b94e2d99-a53e-4188-bd8f-092cb32fec5f","resolution":{"observed_at":"2026-08-04T01:22:26.315050Z","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":"2026-08-04T01:22:26.481088Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:26.481088Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:680553123b20fff087aff7a9786eb194b072ad4e534bbd607c2f3ab50f12740f","observation_id":"9e6b0844-0a18-4b0e-836e-fbbea3e9b872","resolution":{"observed_at":"2026-08-04T01:22:26.481088Z","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":"2026-08-04T01:22:26.655468Z","title":"2018.SPTAG: A library for fast approximate nearest neighbor search","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:26.655468Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:bfc1a2d78904c2e78da82a8cec2d0423bf51919b4736df05fff3d11942375df3","observation_id":"7255c8b5-9171-4ea9-bd83-f7429a90c58f","resolution":{"observed_at":"2026-08-04T01:22:26.655468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.08566","last_updated":"2021-11-05T06:28:15Z","snapshot_observed_at":"2026-07-06T12:09:08.635616Z","submitted_at":"2021-11-05T06:28:15Z","title":"SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.08566","snapshot_observed_at":"2026-08-04T01:22:26.739375Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:26.739375Z"},"links":{"cited_paper":"/paper/2111.08566","citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:3e8dbe6ea6c871f011bc1c8650ce4ef3629a655671b41678f29f353266ecf8f9","observation_id":"d6d1746a-f4c4-4056-909b-657ea9ee9336","resolution":{"observed_at":"2026-08-04T01:22:26.739375Z","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":"2026-08-04T01:22:26.905655Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:26.905655Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:7fc344a0a33970c4912d8f485e3d3a1c7d0b050febecdfda6efc0b039897a6e2","observation_id":"4f386185-c973-49bf-a547-98bbcae9bcde","resolution":{"observed_at":"2026-08-04T01:22:26.905655Z","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":"2026-08-04T01:22:27.056226Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.056226Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:8ab795b444c8e849698bae792a4b100c15df95f9ffef7c43e6e3045325ea9242","observation_id":"c9a3038b-0a2c-45c4-a160-9a7d33794951","resolution":{"observed_at":"2026-08-04T01:22:27.056226Z","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":"2026-08-04T01:22:27.170187Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.170187Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:058caf97482e44f5913ef54d5e47a9003c022adde28bfafc5ca9e8cbcc951ec4","observation_id":"84001401-c5d7-4973-81ab-df72c7a519f0","resolution":{"observed_at":"2026-08-04T01:22:27.170187Z","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":"2026-08-04T01:22:27.305529Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.305529Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:ce285a144d444fdf8e2682bf1adefe90f7d26773f211d8a1585a205185899969","observation_id":"f658709a-dadf-4c05-8266-a07ec6d4a793","resolution":{"observed_at":"2026-08-04T01:22:27.305529Z","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":"2026-08-04T01:22:27.441318Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.441318Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:6d67606f02f108648e931e095fbdaacca37fadff462d2d14cb83bfb2a292502c","observation_id":"d293aec2-465b-4c57-afe3-b91c2d81aec2","resolution":{"observed_at":"2026-08-04T01:22:27.441318Z","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":"2026-08-04T01:22:27.524149Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.524149Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:6ac6a858ab0014deb8484f98d324c6edbf5c77ae050ed488de1f71aca85ba55c","observation_id":"d71ef775-4c3a-4d3c-bd72-03d30a88d5a9","resolution":{"observed_at":"2026-08-04T01:22:27.524149Z","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":"2026-08-04T01:22:27.583091Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.583091Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:bb1e13f7b2b7caa427e171f4a3759e5bf81ca7e0f0ac5e19bd4b8f537bc9c83a","observation_id":"eeb6b967-fec9-427c-9f00-d968480b62f5","resolution":{"observed_at":"2026-08-04T01:22:27.583091Z","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":"2026-08-04T01:22:27.653513Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.653513Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:32700339b6cef2c677a9f33211f32cc367008c0846b65c73cc8b03972a950a40","observation_id":"a42ef20c-80e7-42e0-b5dd-b155dddd42b7","resolution":{"observed_at":"2026-08-04T01:22:27.653513Z","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":"2026-08-04T01:22:27.783841Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.783841Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:3f6ded410879b42afdef60d712b947f019b1e0eb13c7723636e6812c51fd00ba","observation_id":"e6386d02-cc77-40d3-961b-9ad52851f892","resolution":{"observed_at":"2026-08-04T01:22:27.783841Z","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":"2026-08-04T01:22:27.895213Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:27.895213Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:cf6c88e6bbba9b21493804818a8abf925263dadc6a55ac2672a5cb8109025f88","observation_id":"5bb03fdc-4870-4830-bf18-84bac15e6e3f","resolution":{"observed_at":"2026-08-04T01:22:27.895213Z","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":"2026-08-04T01:22:28.000196Z","title":null,"venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.000196Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:843d6e44718f5bcb8fdee12c9610a4d6a532cfad587b485ccbaf84ef73496b47","observation_id":"a96adde5-cf68-46e4-980d-836dff7b5143","resolution":{"observed_at":"2026-08-04T01:22:28.000196Z","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":"2026-08-04T01:22:28.080689Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.080689Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:d2fece7a3f39c986148bcd046ab7b4d8b6710a57d640d396af87aae50d3e636b","observation_id":"d0585744-4784-4656-ba91-9b621f1ae8ae","resolution":{"observed_at":"2026-08-04T01:22:28.080689Z","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":"2026-08-04T01:22:28.195417Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.195417Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:659e351aadfebbc23b521647de6c5b91292891dc2493e9b938af1b74c53c08f0","observation_id":"32b5db9a-3a5e-4327-aaa1-c349455a2adc","resolution":{"observed_at":"2026-08-04T01:22:28.195417Z","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":"2026-08-04T01:22:28.285223Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.285223Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:4dcf7bcf7633fd0faf2bd5823e08200c27f3d3b55a6fd0ded9dc8e077f7eab69","observation_id":"b60a0561-d6a9-49ae-96e1-199c8a27e2b1","resolution":{"observed_at":"2026-08-04T01:22:28.285223Z","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":"2026-08-04T01:22:28.376698Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.376698Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:0bf1306087694c6b6f9b243e4676ef309f142c1626397ad90317d6378b1bfc3b","observation_id":"fd14d7ce-678f-4d99-9d7a-e698ea4218c8","resolution":{"observed_at":"2026-08-04T01:22:28.376698Z","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":"2026-08-04T01:22:28.450176Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.450176Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:981e494c70a9bdca92ae3b200f6144522fa6773233165b48fd50e9a0714b22f3","observation_id":"184884d5-a381-43b1-b965-aa92b31e98a0","resolution":{"observed_at":"2026-08-04T01:22:28.450176Z","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":"2026-08-04T01:22:28.524423Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.524423Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:3e6e75387fe2de7c1fce27f76ed929dd9e92baaeb32a8ea63613d4266bd78a04","observation_id":"a66a2bfe-b7de-4590-a496-d0c7accb11a8","resolution":{"observed_at":"2026-08-04T01:22:28.524423Z","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":"2026-08-04T01:22:28.618544Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.618544Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:1f8868227fb92b8356b263e03cae7681cb129eb0d2f9c58849bbd40842dc2901","observation_id":"a15e0357-9409-40b5-b968-a50f36eaefd9","resolution":{"observed_at":"2026-08-04T01:22:28.618544Z","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":"2026-08-04T01:22:28.665089Z","title":null,"venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.665089Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:f07accf31c07bc7c09b0ce8de5438bbddb911ade36cac2241a62a81e9a8cb4b7","observation_id":"4e81066f-67b5-49eb-a80b-f76c551cb1ee","resolution":{"observed_at":"2026-08-04T01:22:28.665089Z","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":"2026-08-04T01:22:28.754098Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.754098Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:017c5400eaabd38421e7e1f01896d4663c7d38c78af7a4327f804f17ec9844c2","observation_id":"740ba6f6-df07-49fe-b774-a10a39fbf91f","resolution":{"observed_at":"2026-08-04T01:22:28.754098Z","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":"2026-08-04T01:22:28.815803Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.815803Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:5110c9d9260c27115a09ae7069eb765932b459c3a4f2590aab0667ac105b3ab5","observation_id":"97ab111f-02e1-4f0e-a163-958e6104fbe0","resolution":{"observed_at":"2026-08-04T01:22:28.815803Z","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":"2026-08-04T01:22:28.884261Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.884261Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:4ea723f36be611faad2814757dba77d4d22d09a5cff251481807a1b24bb70533","observation_id":"3c1032c7-6b40-4a63-84be-93717e6eb2d8","resolution":{"observed_at":"2026-08-04T01:22:28.884261Z","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":"2026-08-04T01:22:28.983449Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:28.983449Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:e0b57dfaafdc2bdb96408d7c3f11e1b4d6ca6f0e350486b00e1c84c665dd78e8","observation_id":"8549c050-b2e2-47cb-a5a6-1f2a30067dfe","resolution":{"observed_at":"2026-08-04T01:22:28.983449Z","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":"2026-08-04T01:22:29.106666Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.106666Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:a3150b01caa47ecfbfc86b87f4dd3a250a200b56eb6fa6ca5fcd3055047745b7","observation_id":"b379fad3-367e-4557-9e4e-f9c4f2a9f818","resolution":{"observed_at":"2026-08-04T01:22:29.106666Z","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":"2026-08-04T01:22:29.183133Z","title":"2021.Pinecone.io","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.183133Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:bbc52ccf63f80378c09ddb6c69a4362b0a81b673fc80513da47da8cbc089e805","observation_id":"cc3ff16a-cec5-4437-a32a-37b6b048a147","resolution":{"observed_at":"2026-08-04T01:22:29.183133Z","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":"2026-08-04T01:22:29.322725Z","title":"2021.qdrant.tech","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.322725Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:d62fc533a61713b8da7b98a5da4ae192b3e9c5190ac465ab345b567fae231682","observation_id":"73660d26-66c3-4100-a224-06fc1e35a127","resolution":{"observed_at":"2026-08-04T01:22:29.322725Z","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":"2026-08-04T01:22:29.409166Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.409166Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:df1eb6a6d5a808b57da11d4b5a3dd0c29c6f920eaa2f9326ba1dc44a221b3a8e","observation_id":"c59aa44b-57d5-4f64-814e-a694bcefbb70","resolution":{"observed_at":"2026-08-04T01:22:29.409166Z","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":"2026-08-04T01:22:29.525953Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.525953Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:f55a436fe791048f4d236a40d13daad03ce3208e1bad7e59d08e20c27a08f414","observation_id":"0b43861e-f6d9-4b5a-b844-faa3df61d5dd","resolution":{"observed_at":"2026-08-04T01:22:29.525953Z","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":"2026-08-04T01:22:29.708497Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.708497Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:edfa2a07ef486e751465d2886d98d384a504df98061ebd754d081319f26bfa78","observation_id":"684938e9-eb16-44dc-8a03-f3522707d3f7","resolution":{"observed_at":"2026-08-04T01:22:29.708497Z","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":"2026-08-04T01:22:29.765489Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.765489Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:dfcdb9250e10b473ea31b60a773d6b68bb892f2ba462083872a66ab6d42291e2","observation_id":"c7921671-7afc-46b7-b852-ac09cde35442","resolution":{"observed_at":"2026-08-04T01:22:29.765489Z","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":"2026-08-04T01:22:29.851016Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.851016Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:b77efe1eeb5562916ebdbd1f13eedfc6d2aabe79b17e2b2eca2cb64ffdddd779","observation_id":"5938a986-327b-40bc-ae93-ac3a13b7264f","resolution":{"observed_at":"2026-08-04T01:22:29.851016Z","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":"2026-08-04T01:22:29.923068Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.923068Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:64b1ad1ac9a1f50e4e9687ca5f9a5155057ca8b61aef9470a4bab47edd6ed083","observation_id":"fa7f4b24-241d-4f21-9c2e-b980b977b146","resolution":{"observed_at":"2026-08-04T01:22:29.923068Z","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":"2026-08-04T01:22:29.993027Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.993027Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:038572336b2e720094f68f95c611e8753a6bf553e74aa5f3ad9e7de6799fcbfd","observation_id":"c06cfc5b-e65c-40dd-ab10-e6c7a9c56aaf","resolution":{"observed_at":"2026-08-04T01:22:29.993027Z","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":"2026-08-04T01:22:30.039335Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.039335Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:cf39b6ced7df8ec2486eb4cd687476a0412b5cc8241c4611952c4cfd7a21cb5a","observation_id":"eba1cc70-c1e3-483a-a8ee-fae23d1d76e4","resolution":{"observed_at":"2026-08-04T01:22:30.039335Z","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":"2026-08-04T01:22:30.094014Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.094014Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:ebd513d8e377ed796cdd849a3a0d865744520199aeb598893bc52c4d7492a5b1","observation_id":"973a8ddd-3c51-42c2-9a74-435cf47eef76","resolution":{"observed_at":"2026-08-04T01:22:30.094014Z","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":"2026-08-04T01:22:30.154269Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.154269Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:0fd6a4b7dc4a41c1ecdd82801ed8b78337e90a9097dcf1ae08277ebc1534bb26","observation_id":"9b3348ac-d290-413d-bccb-ac9dae3c0662","resolution":{"observed_at":"2026-08-04T01:22:30.154269Z","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":"2026-08-04T01:22:30.234752Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.234752Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:95c4a4bf7c707d085bf973a5498a2bf6947f03ac9bd60d4c869b1ad3ed991c9a","observation_id":"6e63f32e-ce21-4d25-97fc-bac5941a3e39","resolution":{"observed_at":"2026-08-04T01:22:30.234752Z","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":"2026-08-04T01:22:30.306977Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.306977Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:5a063dcc58e4a8184ea8b7c94fffc320d733b2f396e2066a0a078dd16200e551","observation_id":"6e0fce40-cb52-4691-8548-1efc256234d2","resolution":{"observed_at":"2026-08-04T01:22:30.306977Z","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":"2026-08-04T01:22:30.355407Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.355407Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:80626a2569ee1370dbeafc8be93d06f664cb52fa4fca5bf854acd694c4cd9eec","observation_id":"94c9212d-33cc-40c5-b753-c8d1088455e2","resolution":{"observed_at":"2026-08-04T01:22:30.355407Z","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":"2026-08-04T01:22:30.441727Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.441727Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:1c6b7ff13671bc463c13aca302c68caa4c4a3c9190b1f6d126fc6e2f357ad582","observation_id":"971ad83f-1a32-45b3-8ee0-346cd6d5f400","resolution":{"observed_at":"2026-08-04T01:22:30.441727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.13601","last_updated":"2022-03-25T12:02:37Z","snapshot_observed_at":"2026-07-06T12:52:28.057954Z","submitted_at":"2022-03-25T12:02:37Z","title":"Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.13601","snapshot_observed_at":"2026-08-04T01:22:30.549017Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.549017Z"},"links":{"cited_paper":"/paper/2203.13601","citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:2bb5242d96852babc11665fac4db7f38482067e217dfec05c4bfe79438231cb9","observation_id":"cdaf99f2-9b9d-43b0-866b-0f13f8c39f61","resolution":{"observed_at":"2026-08-04T01:22:30.549017Z","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":"2026-08-04T01:22:30.663805Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.663805Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:4075220721ee07e44816b665612270bfa9acc0dcde5d2823cee7b8b2a0986f14","observation_id":"f108ca62-8975-4f4c-a194-457e3c8747f4","resolution":{"observed_at":"2026-08-04T01:22:30.663805Z","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":"2026-08-04T01:22:30.773647Z","title":"2019.Weaviate.io","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.773647Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:114ec67fb26efbf304d4a1d571d85a64590ee911fc201f5893cc21f7346d6e16","observation_id":"e64fdcd3-5041-4368-8305-4388b445ba63","resolution":{"observed_at":"2026-08-04T01:22:30.773647Z","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":"2026-08-04T01:22:30.852552Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.852552Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:b600c0faf1bbdf3f536a9ee22f6be6e1b7b1baf7407abe4924d18c1573e23eab","observation_id":"533dd278-0232-44d5-9fcc-9e55b53509c2","resolution":{"observed_at":"2026-08-04T01:22:30.852552Z","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":"2026-08-04T01:22:30.959540Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:30.959540Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:f39d04701f82a8b5787c90ad49603b874c270558cf7fd131c3053def2c0a1c48","observation_id":"ef77af1f-56d5-4190-af58-59c1bdb1471d","resolution":{"observed_at":"2026-08-04T01:22:30.959540Z","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":"2026-08-04T01:22:31.150271Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:31.150271Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:122d259eb191dba69f176fa46c676eba2bc996d3f08839d33f4e023b9321e868","observation_id":"5faaa47e-708b-4516-a0b1-85a06d4ad961","resolution":{"observed_at":"2026-08-04T01:22:31.150271Z","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":"2026-08-04T01:22:31.265048Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:31.265048Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:afe9c0c296f929295629051b9e209393f05afbf01a84fc7a986555ab2baa7976","observation_id":"daa556ff-ac52-45cc-935b-a5b311d3320b","resolution":{"observed_at":"2026-08-04T01:22:31.265048Z","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":"2026-08-04T01:22:31.340970Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:31.340970Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:36c457a5fd65b7b7d456f7244a14e2de2d1404867c0647dd41c7df651df41cf0","observation_id":"f6c74c22-4f52-4aa2-acf6-aff3748cf8ca","resolution":{"observed_at":"2026-08-04T01:22:31.340970Z","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":"2026-08-04T01:22:29.494760Z","title":"In International conference on machine learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.494760Z"},"links":{"citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:f53608dc2c652cc0148e9a4b8f129f9f9efacf3c189a3edb93760c3917ccfaa8","observation_id":"28a37629-bc8e-4c3e-a8ae-5ef21411b068","resolution":{"observed_at":"2026-08-04T01:22:29.494760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-04T01:22:29.618992Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-04T01:22:29.618992Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2608.00650"},"observation_digest":"sha256:df353b8aea85a21094d374ff7eab5bef1c6bbf97b1dec0d10710ce0e925f2c69","observation_id":"069d428a-726c-437b-b68a-b43c047ab688","resolution":{"observed_at":"2026-08-04T01:22:29.618992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.00650","last_updated":"2026-08-01T13:09:51Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-08T11:48:20.923413Z","submitted_at":"2026-08-01T13:09:51Z","title":"TEngineDB-V: An OLAP-Native Vector Search System for Large-$k$ Workloads at Tencent"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":60,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":60},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2608.00650."}