{"as_of":"2026-08-21T23:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e3419b7e1e2cc633f11188911d41c36dd3457a7ae426a618e1f44f481855d5d8","coverage":[{"denominator":107,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:45:39.716655Z","state":"measured"},{"denominator":105,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":105,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:38:26.994206Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T05:49:36.930551Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"cited_work":{"arxiv_id":"2505.06501","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06501","snapshot_observed_at":"2026-07-04T05:49:36.930551Z","title":"Sean Wang","venue":null,"work_id":"c5f54fb8-d310-462a-bd8b-f5664bf9ec3b","year":2025},"citing_paper":{"arxiv_id":"2604.02522","last_updated":"2026-04-02T21:23:00Z","snapshot_observed_at":"2026-08-11T16:10:33.092074Z","submitted_at":"2026-04-02T21:23:00Z","title":"Opal: Private Memory for Personal AI","version":1},"reference_index":133,"source":"pdf_text","source_observed_at":"2026-05-13T21:09:06.320543Z"},"links":{"cited_paper":"/paper/2505.06501","citing_paper":"/paper/2604.02522"},"observation_digest":"sha256:89284a8e0ce2f075fd98810f86e7eed283d3b131a191e1202b199e40651c1cac","observation_id":"4d0995b9-042e-4a71-a240-478eeba4aaf2","resolution":{"observed_at":"2026-05-13T21:13:16.670150Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"cited_work":{"arxiv_id":"2505.06501","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06501","snapshot_observed_at":"2026-07-04T05:49:36.930551Z","title":"Sean Wang","venue":null,"work_id":"c5f54fb8-d310-462a-bd8b-f5664bf9ec3b","year":2025},"citing_paper":{"arxiv_id":"2606.19803","last_updated":"2026-06-18T05:16:05Z","snapshot_observed_at":"2026-08-20T02:51:29.431367Z","submitted_at":"2026-06-18T05:16:05Z","title":"Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T15:32:06.644055Z"},"links":{"cited_paper":"/paper/2505.06501","citing_paper":"/paper/2606.19803"},"observation_digest":"sha256:8c1c2f6d3df6e3b8c9368c2dfe8d80c1cdd22ebbafa4cd7b1f10e54cd59f21b2","observation_id":"9c479adf-90ff-4ca2-90a5-5bbed7e6a7ad","resolution":{"observed_at":"2026-07-04T05:49:36.847152Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"cited_work":{"arxiv_id":"2505.06501","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.06501","snapshot_observed_at":"2026-07-04T05:49:36.930551Z","title":"Sean Wang","venue":null,"work_id":"c5f54fb8-d310-462a-bd8b-f5664bf9ec3b","year":2025},"citing_paper":{"arxiv_id":"2606.19898","last_updated":"2026-06-18T07:54:12Z","snapshot_observed_at":"2026-08-15T08:03:03.231323Z","submitted_at":"2026-06-18T07:54:12Z","title":"Query-aware Routing for Filtered Approximate Nearest Neighbors Search","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T15:30:03.463197Z"},"links":{"cited_paper":"/paper/2505.06501","citing_paper":"/paper/2606.19898"},"observation_digest":"sha256:184d49982460c4e1e3703d65fbfb5bb0301922cab0dd9eae4107b0bc91c9e17e","observation_id":"a184b5db-5724-42c3-af22-b044324ac021","resolution":{"observed_at":"2026-07-04T05:49:36.932268Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.06501","snapshot_observed_at":"2026-08-01T17:38:26.994206Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17582","last_updated":"2026-07-20T05:59:59Z","snapshot_observed_at":"2026-08-21T02:26:34.509171Z","submitted_at":"2026-07-20T05:59:59Z","title":"ANNLib: A Development Framework for Efficient Approximate Nearest Neighbor Search","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T17:38:26.994206Z"},"links":{"cited_paper":"/paper/2505.06501","citing_paper":"/paper/2607.17582"},"observation_digest":"sha256:b93d0f540a5745c2cb76df9b205e4d5afe6c6ca6a9f8b65959e3e2111d06d7cc","observation_id":"9a34a3a4-136f-45a2-82d0-40cfbd150bf7","resolution":{"observed_at":"2026-08-01T17:38:26.994206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.06501","snapshot_observed_at":"2026-07-31T21:58:58.471982Z","title":"arXiv preprint arXiv:2505.06501 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24173","last_updated":"2026-07-27T08:55:09Z","snapshot_observed_at":"2026-08-19T01:24:35.251729Z","submitted_at":"2026-07-27T08:55:09Z","title":"Simple and Fast Algorithm for Graph-based Filtered Approximate Nearest Neighbor Search (Full Version)","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-31T21:58:58.471982Z"},"links":{"cited_paper":"/paper/2505.06501","citing_paper":"/paper/2607.24173"},"observation_digest":"sha256:3820355dcb007e7b5bd3ac7e547e0dc2f5c95d994fba609c1812cdf93e149667","observation_id":"3f8e61c3-6dc8-4c07-ad62-f8eebb275cfb","resolution":{"observed_at":"2026-07-31T21:58:58.471982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.06501/citation-record","integrity":"/paper/2505.06501/integrity","json":"/paper/2505.06501/citation-record.json","paper":"/paper/2505.06501"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:39.130462Z","title":"In: Bezzubov A, Dig D, Bryksin T, Golubev Y (eds) Proceedings of the 18 Yanjun Lin et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.130462Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:7e41b47d3d948040963fd6581f600e4eaf1e05f2a77471541987c0266fb89475","observation_id":"d00e381c-7c96-403e-85e4-f2e1b1b7cc03","resolution":{"observed_at":"2026-08-15T22:45:39.130462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.08675","last_updated":"2016-09-27T21:21:49Z","snapshot_observed_at":"2026-08-14T21:37:52.670253Z","submitted_at":"2016-09-27T21:21:49Z","title":"YouTube-8M: A Large-Scale Video Classification Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.08675","snapshot_observed_at":"2026-08-15T22:45:39.135988Z","title":"CoRR abs/1609.08675, URLhttp://arxiv.org/abs/ 1609.08675,1609.08675","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.135988Z"},"links":{"cited_paper":"/paper/1609.08675","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:1d30134af7d5150ef73cb4f7ef00756103029743cc7072647796119ebdc67ce9","observation_id":"8af84178-aa59-4633-8eb2-3900cca93451","resolution":{"observed_at":"2026-08-15T22:45:39.135988Z","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":"2026-08-15T22:45:39.141805Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.141805Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:6c3fb0d9300fb88b45b1c289e7f1899785ed9717772b0fd775ff3390ae5ad147","observation_id":"4aebd81e-a933-4153-a7fa-10c3a0a17d86","resolution":{"observed_at":"2026-08-15T22:45:39.141805Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.146683Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.146683Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:6b0baf0289799ed7d6a939575be996993942a04be95f8d0c4edce81e113e76df","observation_id":"4f9ae812-2b91-4eb6-921a-9b4a9fb90f69","resolution":{"observed_at":"2026-08-15T22:45:39.146683Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.151612Z","title":"Inf Syst 101:101,807, DOI 10","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.151612Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:52c2cf0dfd14a083eaa1dbd8427bc1137611b9c283592b6f7f88076bbde4607e","observation_id":"753b6c3e-34ea-4449-9fc2-3c56cb4cbda9","resolution":{"observed_at":"2026-08-15T22:45:39.151612Z","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":"2026-08-15T22:45:39.156432Z","title":"Inf Syst 87, DOI 10.1016/J.IS.2019.02.006, URLhttps: //doi.org/10.1016/j.is.2019.02.006","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.156432Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d60a2d256fd0d1dfc1d2fb1a4c3aa38026f2fb9e99a4c03a3177c06ef7e88b2f","observation_id":"876103f0-4de8-4b51-a6d4-2822cdb53078","resolution":{"observed_at":"2026-08-15T22:45:39.156432Z","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":"2026-08-15T22:45:39.161816Z","title":"World Scientific, DOI 10.1142/8685, URLhttps://doi","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.161816Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:3d9a1fb9703775147390421229e3ea8e06718fa7fd289bc2edab9a3d13c5b873","observation_id":"781877c3-e70d-4c89-88d2-7ccfc19e76c8","resolution":{"observed_at":"2026-08-15T22:45:39.161816Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.166684Z","title":"In: 2016 IEEE Conference on Com- puter Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, IEEE Computer Society, pp 2055–2063, DOI 10","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.166684Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:94b860b023936a65abad490516e8888c89ad9eddd661da4ec18f556ac14b3817","observation_id":"95327041-e73d-4cea-9c2b-ec05cc89cf50","resolution":{"observed_at":"2026-08-15T22:45:39.166684Z","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":"2026-08-15T22:45:39.171354Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.171354Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:a84d3acf75b9508546be861c9b28666808f571b1738f847434ce655e6a2116f5","observation_id":"8010e2a5-9c98-4e32-90e4-36e457847a80","resolution":{"observed_at":"2026-08-15T22:45:39.171354Z","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":"2026-08-15T22:45:39.176763Z","title":"Neural Comput 15(6):1373–1396, DOI 10","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.176763Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:6b6b0ab32c0661f07b4047741655d00cdb8ac9c2bf814344d2481a0ee413116b","observation_id":"082f7fd0-2ee5-4f22-8c13-a565e910f7bc","resolution":{"observed_at":"2026-08-15T22:45:39.176763Z","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":"2026-08-15T22:45:39.181596Z","title":"Commun ACM 18(9):509– 517, DOI 10.1145/361002.361007, URL https://doi.org/10.1145/361002.361007","venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.181596Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:ec3c93bb9a0c91c231f55d5f455871ac43ceae6a2c58f431cc33ee1c09ee75fd","observation_id":"bd599154-5396-446b-9e82-943b2beb8f28","resolution":{"observed_at":"2026-08-15T22:45:39.181596Z","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":"2026-08-15T22:45:39.185960Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.185960Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:78b9d66000a27be6a960b170f7a0b6625cbf33fbafbcaf96bed80776efabea02","observation_id":"497080a3-c868-4b1a-94c9-92a98e77e285","resolution":{"observed_at":"2026-08-15T22:45:39.185960Z","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":"2026-08-15T22:45:39.190805Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.190805Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:e2d5a823d6e2de2a90a032b9de47bd5de2fcb73d133f682162d53f9c9af632ba","observation_id":"162e143e-cbc3-4484-8bcf-ae252fc977ee","resolution":{"observed_at":"2026-08-15T22:45:39.190805Z","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":"2019.29538","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:42.640765Z","title":"IEEE Trans Knowl Data Eng 33(6):2337–2348, DOI 10","venue":null,"work_id":"e56cba8f-08d0-4ee8-8199-6fdf06209914","year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.195495Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:5e2ed9074aefe89694aafd0fcd5f637789b254a1c80d24b4a344ac579c630143","observation_id":"f0169f2c-6cc0-4454-b7e3-b4b2ac9d7c49","resolution":{"observed_at":"2026-08-15T22:45:42.648358Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.200199Z","title":"Proc ACM Manag Data 2(6), DOI 10.1145/3698822, URLhttps://doi.org/10.1145/3698822","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.200199Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d77ebf6988dcaeb1e67f729a7cccaa5a3b59aa7bc42efbeb9f5277168c890431","observation_id":"d371f4d9-005a-4f95-b203-719693fb86a1","resolution":{"observed_at":"2026-08-15T22:45:39.200199Z","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":"2026-08-15T22:45:39.204972Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.204972Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:369d3532d089b32440e5763c8bef29194ee0cf88d487d7a02d6ca70acfddbb7d","observation_id":"adca9711-abc9-475f-b983-70fdd160e336","resolution":{"observed_at":"2026-08-15T22:45:39.204972Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.209694Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.209694Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:e481c160383f8682017864749bae8bb9baeadc53f91f490117e80fcfdd161e89","observation_id":"46e15a48-0406-467a-a685-45cf0f9e973d","resolution":{"observed_at":"2026-08-15T22:45:39.209694Z","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":"2026-08-15T22:45:39.214377Z","title":"Proc VLDB Endow 17(11):2735–2749, DOI 10.14778/3681954.3681959, URLhttps:// www.vldb.org/pvldb/vol17/p2735-chen.pdf","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.214377Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:35e800541f9d36b9bae121bcebbc5ead737a7cafc200fcaf764f6df4f5a7b958","observation_id":"52c2ca3e-080e-48e0-8b2d-d3648055f280","resolution":{"observed_at":"2026-08-15T22:45:39.214377Z","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":"2026-08-15T22:45:39.219079Z","title":"Sensors 10(12):11,259–11,273, DOI 10.3390/S101211259, URLhttps://doi","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.219079Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:9c44cbc3676a4dee324a957cc82fe289db3cbaa934d49e59e42e26b7578de918","observation_id":"779d1a7e-7638-409d-9d4b-497ee1da9a3a","resolution":{"observed_at":"2026-08-15T22:45:39.219079Z","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":"2023.00276","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:42.408974Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, IEEE, pp 2818–2829, DOI 10.1109/CVPR52729","venue":null,"work_id":"be022346-0f22-4579-8df1-7f59273bcfdc","year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.224195Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:41f56f08f198d212a2877ff53ed3015cca4f63e34ee628e253cd86370b580a7c","observation_id":"4e642c88-752f-4915-b786-71926fd8234c","resolution":{"observed_at":"2026-08-15T22:45:42.416199Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.229479Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.229479Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:a650c09cbf8a227b3c621884e810bfbcb46e29a3bca70cdb00614f21733049a1","observation_id":"1c5b59de-5263-41c3-b580-1cfd90ef28ca","resolution":{"observed_at":"2026-08-15T22:45:39.229479Z","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":"2026-08-15T22:45:39.234101Z","title":"Mach Learn 20(3):273–297, DOI 10.1007/ BF00994018, URLhttps://doi.org/10.1007/ BF00994018","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.234101Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:03029729870eb8d67b0eb84dcd5c54197dbcb71daf9361c44be93f09937141bd","observation_id":"05e98470-cbb2-4ac9-9d9d-298e8cf7de41","resolution":{"observed_at":"2026-08-15T22:45:39.234101Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.238807Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.238807Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:5f4d9f0d3f3ac59536ca630ae3f1182f163994ec6855324169b1c5d33c228792","observation_id":"119d2c41-7564-45ed-813e-eade32a001bc","resolution":{"observed_at":"2026-08-15T22:45:39.238807Z","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":"2026-08-15T22:45:39.243333Z","title":"IEEE Signal Pro- cess Mag 29(6):141–142, DOI 10.1109/MSP.2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.243333Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:78f0549d7acdf24bf9bebb03f0fc1d21de72424f1ac9df56e4196e10536a41a3","observation_id":"ae947dc8-397a-40e6-8778-ce630041a1a5","resolution":{"observed_at":"2026-08-15T22:45:39.243333Z","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":"2026-08-15T22:45:39.247788Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.247788Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f697f814b0a74005269e5bf9f86f4c0604471329f6baff8cc66c1b853e3d8adf","observation_id":"e78af516-01a3-4925-8e7b-efb1e949c9af","resolution":{"observed_at":"2026-08-15T22:45:39.247788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08281","snapshot_observed_at":"2026-08-15T22:45:39.252533Z","title":"CoRR abs/2401.08281, DOI 10.48550/ARXIV.2401.08281, URLhttps: //doi.org/10.48550/arXiv.2401.08281,2401","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.252533Z"},"links":{"cited_paper":"/paper/2401.08281","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:054b09ec63c476e54f314896e566183f3fef0dcd4a71bf5185cc657c8a15fb7f","observation_id":"e405bd26-e9bf-4513-a274-75bf2d63e4aa","resolution":{"observed_at":"2026-08-15T22:45:39.252533Z","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":"2026-08-15T22:45:39.257805Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.257805Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:bb3c3d813f82ca06c7263cc461a7a1e88c1eb94104988d9793a33f656c2742ed","observation_id":"deced8de-cf88-4767-bc53-13c46e464ab5","resolution":{"observed_at":"2026-08-15T22:45:39.257805Z","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":"2026-08-15T22:45:39.262359Z","title":"In: Forty-first In- ternational Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, OpenReview.net, URLhttps://openreview","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.262359Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:fa47f3ed2a548474bf46c7916c4a9f0de15eb94660961d1584df2fcc8121d514","observation_id":"24358035-38f5-4099-82ba-93951e627de0","resolution":{"observed_at":"2026-08-15T22:45:39.262359Z","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":"2026-08-15T22:45:39.267017Z","title":"Proc VLDB Endow 12(5):461–474, DOI 10.14778/3303753","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.267017Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:7636b03a9b8ac94cf75d5291ba83720bcbe97974de6257d07f7c7ae0a226aec5","observation_id":"14433ef7-1a43-40ae-8522-8489c917ae8b","resolution":{"observed_at":"2026-08-15T22:45:39.267017Z","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":"2026-08-15T22:45:39.271746Z","title":"IEEE Trans Pattern Anal Mach Intell 44(8):4139–4150, DOI 10.1109/TPAMI","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.271746Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:52a0dddb4569ba028a40c72ba2152f3a3ef0b0dc67155a9fd3c2973d4d3f4717","observation_id":"73a4408b-ff7d-4d1d-a68b-566b02ddb6fd","resolution":{"observed_at":"2026-08-15T22:45:39.271746Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-15T22:45:39.276264Z","title":"CoRR abs/2312.10997, DOI 10.48550/ ARXIV.2312.10997, URLhttps://doi.org/10","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.276264Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f12a3ac2ddbbab2fefb9f1b54f4c5030c741d1f6f4dfa2b8847099bc6810fbe1","observation_id":"7597f349-4d6c-44f5-8657-977a0ec03442","resolution":{"observed_at":"2026-08-15T22:45:39.276264Z","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":"2026-08-15T22:45:39.281233Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.281233Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:9f61b53375928617ac98af96b3da0214cdd1d3a55dbd621405ee702864667a7a","observation_id":"16158011-6841-40c1-aa52-4a421b845886","resolution":{"observed_at":"2026-08-15T22:45:39.281233Z","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":"2026-08-15T22:45:39.286535Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.286535Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f8926e2771b90a0688f422f5faa4cf9659baa953b7afd27f80cfa5e711940ae5","observation_id":"c40ca522-8cab-43df-9dd2-fa9eb7763916","resolution":{"observed_at":"2026-08-15T22:45:39.286535Z","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":"2026-08-15T22:45:39.291070Z","title":"Knowl Based Syst 278:110,907, DOI 10.1016/J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.291070Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f303c1b880800dfc5d36cb743eb9c8a5c9f0ab828ccb129f0f7198088de435f3","observation_id":"fa43d342-8e5b-408c-98c3-bc086585b93e","resolution":{"observed_at":"2026-08-15T22:45:39.291070Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15014","last_updated":"2023-08-29T04:34:32Z","snapshot_observed_at":"2026-08-20T22:19:34.734477Z","submitted_at":"2023-08-29T04:34:32Z","title":"CAPS: A Practical Partition Index for Filtered Similarity Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15014","snapshot_observed_at":"2026-08-15T22:45:39.295729Z","title":"CoRR abs/2308.15014, DOI 10.48550/ARXIV","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.295729Z"},"links":{"cited_paper":"/paper/2308.15014","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:a863c4ace0a168035d5394d86f1508f9bb561e062d5cb7cb6ad36085ca6818f3","observation_id":"191650fc-fcac-42b1-be03-e11167fbe175","resolution":{"observed_at":"2026-08-15T22:45:39.295729Z","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":"2026-08-15T22:45:39.300869Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.300869Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:3dffe2bf7fafb5dd8529733c60a8606b33e6e79c87c06964606f49fc147b6b82","observation_id":"7d3f6256-2c6e-498f-a9e7-da5c737e6e45","resolution":{"observed_at":"2026-08-15T22:45:39.300869Z","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":"2026-08-15T22:45:39.305473Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.305473Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:39fe83965b89eccec0a20afbfc03c69bec035fb9819ea16ad3077957edeb757b","observation_id":"fe534b1a-f9b8-45aa-87f8-1fbd90ed0ff5","resolution":{"observed_at":"2026-08-15T22:45:39.305473Z","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":"2026-08-15T22:45:39.310159Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.310159Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:6a79246cc74fc11caa0919c220704bc45dff6ab8f652abd9ad08da1341472f7b","observation_id":"70b58e40-35dd-406b-9a8f-c0baee949a42","resolution":{"observed_at":"2026-08-15T22:45:39.310159Z","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":"2026-08-15T22:45:39.314667Z","title":"In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, Prov- idence, RI, USA, June 16-21, 2012, IEEE Com- puter Society, pp 2957–2964, DOI 10.1109/CVPR","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.314667Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:05052eabd653dc6a1eaf696862b35431ec15826c3d5e103cf06c14bbe6f53ec5","observation_id":"d022c00a-0d2b-40c5-96f5-325885beb347","resolution":{"observed_at":"2026-08-15T22:45:39.314667Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.319273Z","title":"Journal of Educational Psychology 24(6):417–441, DOI 10.1037/h0071325, URLhttps://doi.org/ 10.1037/h0071325","venue":null,"work_id":null,"year":1933},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.319273Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:9810ca79244fea77324dd522b009e3a80bd85ba3e9deff007a60e9b9d6b185af","observation_id":"b2861ba8-0486-4bfe-ad03-1a62a3593797","resolution":{"observed_at":"2026-08-15T22:45:39.319273Z","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":"2026-08-15T22:45:39.325237Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.325237Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:9eca159cc0210e2f2d4fa6a94290881abcafa9b77bc44e0fd270460515b951f8","observation_id":"4b84db74-d1d6-45ee-8eb0-3c4adfd3a720","resolution":{"observed_at":"2026-08-15T22:45:39.325237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19543","last_updated":"2025-06-29T14:57:19Z","snapshot_observed_at":"2026-08-20T04:55:30.681440Z","submitted_at":"2024-04-30T13:14:51Z","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19543","snapshot_observed_at":"2026-08-15T22:45:39.330256Z","title":"CoRR abs/2404.19543, DOI 10.48550/ARXIV.2404.19543, URLhttps: //doi.org/10.48550/arXiv.2404.19543,2404","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.330256Z"},"links":{"cited_paper":"/paper/2404.19543","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:7be66cf02def1e4d5cdf08f1a5e02e805d60b9f03a91dc3e1426327ace5dcb0a","observation_id":"e34701f6-df57-47db-8996-e597f124d78e","resolution":{"observed_at":"2026-08-15T22:45:39.330256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10981","last_updated":"2024-08-23T00:17:02Z","snapshot_observed_at":"2026-08-14T10:51:21.055151Z","submitted_at":"2024-04-17T01:27:42Z","title":"A Survey on Retrieval-Augmented Text Generation for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10981","snapshot_observed_at":"2026-08-15T22:45:39.335786Z","title":"CoRR abs/2404.10981, DOI 10.48550/ ARXIV.2404.10981, URLhttps://doi.org/10","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.335786Z"},"links":{"cited_paper":"/paper/2404.10981","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:bab6fff2f51ab018a8a591dd22040a232b84a29ef6ab0afa5e29462db400f3bb","observation_id":"4b71bb83-9174-4729-8e04-a7bd8e30a622","resolution":{"observed_at":"2026-08-15T22:45:39.335786Z","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":"2026-08-15T22:45:39.340976Z","title":"In: Ives ZG, Bonifati A, Abbadi AE (eds) SIGMOD ’22: International Conference on Man- agement of Data, Philadelphia, PA, USA, June 12 - 17, 2022, ACM, pp 2259–2272, DOI 10","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.340976Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:e7261956ad19170a4919db670ced09c9bc8dbb34a6177d824381785f9b6b824f","observation_id":"9cf978b1-028a-4797-bb85-9b3c8a619226","resolution":{"observed_at":"2026-08-15T22:45:39.340976Z","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":"2026-08-15T22:45:39.345349Z","title":"In: Vitter JS (ed) Proceedings of the Thirtieth Annual ACM Symposium on the Theory of Computing, Dallas, Texas, USA, May 23-26, 1998, ACM, pp 604–613, DOI 10","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.345349Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:62ae79e453b3db026a0cb31f025bff96916ccf8bd6395242bffc8457a25a06ad","observation_id":"40873f1e-bb3e-45d8-a4fe-7242c37b13fb","resolution":{"observed_at":"2026-08-15T22:45:39.345349Z","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":"2026-08-15T22:45:39.349773Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.349773Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:c9110740e160ce5fee309c73d522ee56c296bb04563ae15a23c79e8ae77d4e09","observation_id":"7e2991e4-f8fa-4b6a-975c-d03b5ea9fdeb","resolution":{"observed_at":"2026-08-15T22:45:39.349773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12850","last_updated":"2022-11-30T11:14:07Z","snapshot_observed_at":"2026-08-16T16:21:57.213885Z","submitted_at":"2022-10-22T21:22:50Z","title":"OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12850","snapshot_observed_at":"2026-08-15T22:45:39.354294Z","title":"CoRR abs/2211.12850, DOI 10.48550/ ARXIV.2211.12850, URLhttps://doi.org/10","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.354294Z"},"links":{"cited_paper":"/paper/2211.12850","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:4bd6c95ca2f23fcff8e0924b7e0a69defcfbf3a9a42a3dbde2ad204b3fe978d7","observation_id":"28963cbc-bf75-4021-a7be-7d54d7acdcb0","resolution":{"observed_at":"2026-08-15T22:45:39.354294Z","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":"10.1007/978-3-540-88682-2_24","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-17T11:03:46.409680Z","title":null,"venue":"Lecture notes in computer science","work_id":"62a4b235-5af9-455f-812b-b2e2a9f49fa8","year":2008},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.358854Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:a407ede90e50a7bb384251e476073df648801605595e6a18e09d0c883277967f","observation_id":"bd3cb0f4-cb54-4c42-9f77-3f26619027e7","resolution":{"observed_at":"2026-08-15T22:45:40.058782Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.363391Z","title":"IEEE Trans Pattern Anal Mach Intell 33(1):117– 128, DOI 10.1109/TPAMI.2010.57, URLhttps: //doi.org/10.1109/TPAMI.2010.57","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.363391Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:b9e38d19e96204af3841abbd16f89ec09a1d1f1397dd4992bb7da40a7623d2b3","observation_id":"128b5422-5ca0-45bf-9167-055d9d794d3c","resolution":{"observed_at":"2026-08-15T22:45:39.363391Z","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":"2026-08-15T22:45:39.367808Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.367808Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:096fc61c8d6619b59d22014e6109a13aa4051fe705fca22f9e7e56c01c2a6ba2","observation_id":"ae13c016-ec71-44d0-aa4e-7a434fb1c5da","resolution":{"observed_at":"2026-08-15T22:45:39.367808Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.372863Z","title":"IEEE Trans Cybern 44(8):1362–1371, DOI 10.1109/TCYB.2013.2283497, URLhttps: //doi.org/10.1109/TCYB.2013.2283497","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.372863Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d251fb57bbf992a4857a48bc8ea9e8c430fd4fc8df1210b4d9f42aaaef40f2d3","observation_id":"f9afa3f3-5868-4aff-9c51-36b8329c7053","resolution":{"observed_at":"2026-08-15T22:45:39.372863Z","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":"2026-08-15T22:45:39.377025Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.377025Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f1b9a892d54d350349631b958355d17790d0a9948dc95f6b7dc844083c414b73","observation_id":"717298ec-e11e-4e0b-b972-506c06bb7f74","resolution":{"observed_at":"2026-08-15T22:45:39.377025Z","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":"2026-08-15T22:45:39.381538Z","title":"Patterns 4(12):100,865, DOI 10.1016/J.PATTER","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.381538Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:85732696f41eb2c8b50da80bb89f4378f4884b6a5bbf2038ace0c22f9dc37e96","observation_id":"71ab015d-ae69-4b9f-8f9f-315702b5a812","resolution":{"observed_at":"2026-08-15T22:45:39.381538Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"hash/6602294","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:41.479253Z","title":null,"venue":null,"work_id":"bd8c3262-4850-40cd-af43-c6bbbd115ae6","year":2009},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.386007Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f87235cd747ba9aed3058e465b6e250f65102a8f58b4377088d9c544d9a50a15","observation_id":"08b1d4c0-175c-4c7f-94e8-df0441fe5acc","resolution":{"observed_at":"2026-08-15T22:45:41.486432Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.390473Z","title":"Proc IEEE 86(11):2278–2324, DOI 10.1109/5.726791, URLhttps://doi.org/ 10.1109/5.726791","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.390473Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:af032f067095f6011e39270d63161db9ae7095c30334796f1767c3c3643a0d44","observation_id":"c4373049-8cf4-47da-982d-91cdd4bfb78d","resolution":{"observed_at":"2026-08-15T22:45:39.390473Z","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":"2026-08-15T22:45:39.394796Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.394796Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d02c6b66287afa142aa82b0320761d94ab8bc39007521d4b9f63ec6a4e519733","observation_id":"1652df37-f807-4ba6-b960-31d5c41a49ca","resolution":{"observed_at":"2026-08-15T22:45:39.394796Z","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":"2026-08-15T22:45:39.398967Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.398967Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d55ef51bef9ae7873bacbc8dae50566436dff2b43064de36d07882028fdbe0b8","observation_id":"ef94cc19-807d-4d5b-bed6-af497f50f8a2","resolution":{"observed_at":"2026-08-15T22:45:39.398967Z","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":"4028.32840","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:41.347562Z","title":"In: Proceedings of the 19th International Middleware Conference, Mid- dleware Industrial Track 2018, Rennes, France, December 10-14, 2018, ACM, pp 9–16, DOI 10","venue":null,"work_id":"0ec23551-80dd-48ff-92be-4e5bde0a4321","year":2018},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.403115Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:e6f513520df17a3a48889e4af46e2f8708c0cf7cefd2878faba3f87e47e631d0","observation_id":"491a0df8-521f-4664-8ece-3a23eddb65d4","resolution":{"observed_at":"2026-08-15T22:45:41.354958Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.407808Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.407808Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:843ce8c7014de300e1120093f6558cdc021be16668daa9f22168395dfdab1e5a","observation_id":"74385887-e458-47a7-be1a-56355ff31d78","resolution":{"observed_at":"2026-08-15T22:45:39.407808Z","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":"2026-08-15T22:45:39.412100Z","title":"IEEE Trans Knowl Data Eng 32(8):1475–1488, DOI 10.1109/TKDE","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.412100Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d1832d3ee342476f64700a6a463d1fab467105488f5810da2ea528aaa2d7380f","observation_id":"28def041-b988-4d51-a749-f2a392735f23","resolution":{"observed_at":"2026-08-15T22:45:39.412100Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.416625Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.416625Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:375df6606cc6a131d00e76434d8562b9dffb5de172d2f3253469c0d1e50422ab","observation_id":"58cbf65d-9f4a-4e99-ad24-062692f551a0","resolution":{"observed_at":"2026-08-15T22:45:39.416625Z","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":"2026-08-15T22:45:39.421205Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.421205Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:cf44c5275853c7ab721e84b8795049fd90c93b97502dd161a57746e85921b5e8","observation_id":"ab491f2e-40f3-4161-9319-48bdec787657","resolution":{"observed_at":"2026-08-15T22:45:39.421205Z","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":"2026-08-15T22:45:39.425662Z","title":"Int J Comput Vis 60(2):91–110, DOI 10.1023/B:VISI.0000029664","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.425662Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:4874ed0aae7059ed52f3b20d6389ccb5deb48fa4581bccffb3c9bca07d855e64","observation_id":"f9279f50-d13e-42a9-a58c-0c09db80d21d","resolution":{"observed_at":"2026-08-15T22:45:39.425662Z","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":"2026-08-15T22:45:39.429964Z","title":"Journal of Machine Learning Re- search 9(86):2579–2605, URLhttp://jmlr.org/ papers/v9/vandermaaten08a.html","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.429964Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:be7e8665c7c92cbfef65edc977dc40ae7ed3ad13ae93a71011877e7c9a6f8c48","observation_id":"8affc994-f8a2-4208-a4a6-55629ef847cf","resolution":{"observed_at":"2026-08-15T22:45:39.429964Z","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":"2026-08-15T22:45:39.434383Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.434383Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:063feb79ea750b12e8961d03e016a17307a40b52bdd9ba7690bc6d8a094da832","observation_id":"7af04e62-1efb-4fe1-b250-310e1e9aa99b","resolution":{"observed_at":"2026-08-15T22:45:39.434383Z","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":"10.1007/s13171-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:40.006056Z","title":"(1936) ”on the generalised distance in statis- tics.”","venue":null,"work_id":"ddc5b2b9-b1fc-4c48-9042-8593cd722133","year":2018},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.438783Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:154388cabac8438fc094c7d15287840153f1bacf2bf18e75c5f0b0f0935ecb49","observation_id":"d3b9a3f5-66b7-4366-9b2f-b10c5511690a","resolution":{"observed_at":"2026-08-15T22:45:40.011872Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.443375Z","title":"Inf Syst 45:61–68, DOI 10.1016/J.IS.2013.10.006, URL https://doi.org/10.1016/j.is.2013.10.006","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.443375Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d14ce88b7329a3e9da61904a7c42f6b8ee8a1fdd851a99ef5274ee15f6ad9691","observation_id":"ad8ae1fb-8a64-4e4c-9b0e-3dbcf6834da8","resolution":{"observed_at":"2026-08-15T22:45:39.443375Z","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":"2026-08-15T22:45:39.447909Z","title":"IEEE Trans Pattern Anal Mach Intell 42(4):824–836, DOI 10.1109/TPAMI.2018.2889473, URLhttps: //doi.org/10.1109/TPAMI.2018.2889473","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.447909Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:da0293934e1c08f7bed6bdd344c9f159c74b8b1297470a75104213cbd02a2eee","observation_id":"ccaad950-b3e4-4f2d-8952-a0637ea1bd63","resolution":{"observed_at":"2026-08-15T22:45:39.447909Z","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":"2026-08-15T22:45:39.452322Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.452322Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f9b51fa4b7b680241edf102551e063355882fc47e495069706a023b8854621e6","observation_id":"cc72b6a6-ca91-44d1-82f6-99495b72e3c1","resolution":{"observed_at":"2026-08-15T22:45:39.452322Z","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":"2026-08-15T22:45:39.457046Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.457046Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:5a43b8fd950d5517f67bfada0e5296bb6a44395ff4a9df8ffd069dc813692b3d","observation_id":"bd578121-2f80-4a7c-8979-96ecad9ce553","resolution":{"observed_at":"2026-08-15T22:45:39.457046Z","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":"2026-08-15T22:45:39.461535Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.461535Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:1bd6a692968ba45a10c37e833b7ec80eef73f3a44345d0720ea2dfd6e22f7f5f","observation_id":"04172c72-5ec4-4128-bdad-a33721cc9c03","resolution":{"observed_at":"2026-08-15T22:45:39.461535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03426","last_updated":"2020-09-18T01:56:41Z","snapshot_observed_at":"2026-08-02T15:32:07.466568Z","submitted_at":"2018-02-09T19:39:33Z","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03426","snapshot_observed_at":"2026-08-15T22:45:39.466278Z","title":"CoRR abs/1802.03426, URLhttp:// arxiv.org/abs/1802.03426,1802.03426","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.466278Z"},"links":{"cited_paper":"/paper/1802.03426","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f0dcec367b96e31266eacf31df959c09357af455bc151df4367202a3a9242e15","observation_id":"09e38edd-9be2-4a71-89ea-605c7c8035b2","resolution":{"observed_at":"2026-08-15T22:45:39.466278Z","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":"2026-08-15T22:45:39.470959Z","title":"Proc ACM Manag Data 1(2):197:1–197:25, DOI 10.1145/3589777, URL https://doi.org/10.1145/3589777","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.470959Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:2728ced00cb9265e99438f90fbfc883241f0bfde1c9cb868a1bd15985b6ab63d","observation_id":"e09c8555-44f5-437c-a528-3a55e666e6ef","resolution":{"observed_at":"2026-08-15T22:45:39.470959Z","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":"2026-08-15T22:45:39.475824Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.475824Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:ebe2d9715bb1f28c24fc4cd88aff7deadf377ae6dcb2912e70b56a76176764c1","observation_id":"2556472b-f0e3-4715-a303-6fa7b4c7b6ff","resolution":{"observed_at":"2026-08-15T22:45:39.475824Z","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":"2026-08-15T22:45:39.480682Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.480682Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:d072453266e06d621aa028895fb8acdfbef02239ac38082d875f484699eedcbd","observation_id":"9e416ef6-96d5-4560-b531-d40de0012698","resolution":{"observed_at":"2026-08-15T22:45:39.480682Z","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":"2026-08-15T22:45:39.485366Z","title":"Int J Comput Vis 42(3):145–175, DOI 10.1023/A:1011139631724, URLhttps:// doi.org/10.1023/A:1011139631724","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.485366Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:31cc9f9a03450c9a98352b74dda7b45f02ad1f44c63c489e8bb883c565486f60","observation_id":"04c07b83-7fa3-4ed1-b15c-408250c5b752","resolution":{"observed_at":"2026-08-15T22:45:39.485366Z","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":"2026-08-15T22:45:39.490067Z","title":"VLDB J 33(5):1591–1615, DOI 10.1007/S00778-024-00864-X, URLhttps: //doi.org/10.1007/s00778-024-00864-x","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.490067Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:42142487ab3e8de17fc6060f7da0d8accb42e04b7e57aa4eb0b4b0858a17b1a6","observation_id":"f09814ac-f3c5-4036-8f25-cb7c0b29da7e","resolution":{"observed_at":"2026-08-15T22:45:39.490067Z","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":"2026-08-15T22:45:39.494504Z","title":"Proc ACM Manag Data 2(3):120, DOI 10.1145/3654923, URLhttps://doi.org/ 10.1145/3654923","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.494504Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:9b45613de68de949fa8c64bfe0f0f72ae5ab6b59ca01b8c265bd670a578a7a97","observation_id":"2e0bf234-5a66-47cd-83e5-6ed7dfd2765b","resolution":{"observed_at":"2026-08-15T22:45:39.494504Z","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":"2026-08-15T22:45:39.498919Z","title":"Proc ACM Manag Data 1(1):54:1–54:27, DOI 10.1145/3588908, URL https://doi.org/10.1145/3588908","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.498919Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:963fc3424e6b03fffcb80b79c6809873b9a58db167d3c79d9e648f369bc881da","observation_id":"13063b75-0f1a-4086-9c7a-319b80ecf18a","resolution":{"observed_at":"2026-08-15T22:45:39.498919Z","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":"2026-08-15T22:45:39.503253Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.503253Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:40dac21640dbd414f654d2793bdc1226e213961ff3941f596c5630e6ad91eef6","observation_id":"b7ae605d-313c-4d8f-9b8d-ec246896c2a5","resolution":{"observed_at":"2026-08-15T22:45:39.503253Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T22:45:39.508044Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.508044Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:93d5faa50b445a88c9c327c081279ae17c86651e945976f0b12719660d7038ef","observation_id":"f8ae8c16-934f-446a-8296-d2f626aff3b8","resolution":{"observed_at":"2026-08-15T22:45:39.508044Z","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":"2026-08-15T22:45:39.512625Z","title":"Artif Intell Rev 55(1):749–800, DOI 10.1007/S10462-021-10043-X, URLhttps: //doi.org/10.1007/s10462-021-10043-x","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.512625Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:ccaafce8446ff91fa281ac13b3d816df573d45d0c62365b03a518a6b45322a25","observation_id":"30b79665-ca87-4dc5-8eb8-d55d6bf9175f","resolution":{"observed_at":"2026-08-15T22:45:39.512625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-15T22:45:39.517672Z","title":"CoRR abs/2111.02114, URLhttps: //arxiv.org/abs/2111.02114,2111.02114","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.517672Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:9f81d70079064962f9d92ff95547e8ab861a30e9a0606aaef44ba2a713622305","observation_id":"a907c55a-b675-4924-97a8-be7c9b11ec2f","resolution":{"observed_at":"2026-08-15T22:45:39.517672Z","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":"2026-08-15T22:45:39.523025Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.523025Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:f13d9bfe29fbabcc5b604a048422cea501dab48970d3c6fcd56e4e6068ddc571","observation_id":"741afe19-a219-477c-9781-97a2b0103609","resolution":{"observed_at":"2026-08-15T22:45:39.523025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-17T19:17:06.411141Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-15T22:45:39.527560Z","title":"In: Bengio Y, LeCun Y (eds) 3rd In- ternational Conference on Learning Representa- tions, ICLR 2015, San Diego, CA, USA, May 24 Yanjun Lin et al","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.527560Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:14c1bb253f9d8119f4522bf297a4f0f17ec31111baeebf859d85dc6f574342a9","observation_id":"08015efa-d9f0-48fc-8e7a-e3ad33cdb983","resolution":{"observed_at":"2026-08-15T22:45:39.527560Z","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":"2026-08-15T22:45:39.532151Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.532151Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:c12f0da490d96323237e76e8265e6c236df54cea202005dcaa3c14330d75e56b","observation_id":"843f256c-18b9-4fc0-ad1a-c0f0a0ec63c0","resolution":{"observed_at":"2026-08-15T22:45:39.532151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.4842","last_updated":"2014-09-17T01:03:11Z","snapshot_observed_at":"2026-08-18T03:16:57.233236Z","submitted_at":"2014-09-17T01:03:11Z","title":"Going Deeper with Convolutions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.4842","snapshot_observed_at":"2026-08-15T22:45:39.536533Z","title":"CoRR abs/1409.4842, URLhttp://arxiv.org/ abs/1409.4842,1409.4842","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.536533Z"},"links":{"cited_paper":"/paper/1409.4842","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:22525f0cda8e20fce01e48a4ec3d7bf228d60a1d760c1532ba57a0e96ed519d4","observation_id":"9bb2b465-4449-4808-b037-e02df592721a","resolution":{"observed_at":"2026-08-15T22:45:39.536533Z","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":"2026-08-15T22:45:39.541405Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.541405Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:12232c5b884a5ba0ecf0ca36d9d654f4a1db34fa7ecb17e709212db9e6625eee","observation_id":"6d6820c8-08cc-4fb2-b74b-3d4b6bce8ab2","resolution":{"observed_at":"2026-08-15T22:45:39.541405Z","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":"10.1016/0031-3203(80","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:45:39.891315Z","title":"Pattern Recog- nit 12(4):261–268, DOI 10.1016/0031-3203(80) 90066-7, URLhttps://doi.org/10.1016/0031- 3203(80)90066-7","venue":null,"work_id":"b9d6a6a9-80f3-4e2e-b040-118ab21263e4","year":1980},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.545936Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:94c709d132729820d7f7e2cb71d0e6077c1bd4d445890e294d0ef2ef9983a8b5","observation_id":"0ae18e44-18f8-49d2-9c54-dc64f2e4fffa","resolution":{"observed_at":"2026-08-15T22:45:39.896146Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.550586Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.550586Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:2a7c307392ec86a85121646a8dce43db4a580f366ffde88bd6bb1b72b6aa4ba6","observation_id":"da09d741-b2c2-46c5-b511-74134fa7ecf9","resolution":{"observed_at":"2026-08-15T22:45:39.550586Z","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":"2026-08-15T22:45:39.555647Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.555647Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:5fc36c18052dd7dc336483d4104c4d790d650a9278296cbe3a3544459a41dd25","observation_id":"458bf070-b76d-48db-b693-e6693fac3822","resolution":{"observed_at":"2026-08-15T22:45:39.555647Z","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":"2026-08-15T22:45:39.560148Z","title":"Proc VLDB Endow 14(11):1964–1978, DOI 10","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.560148Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:3368afd1b7b0e0ce8b6f2daee9253f898d0528c853cbc0d880afadbb79ffcefb","observation_id":"23c5e129-2440-4424-b11b-52856cda301d","resolution":{"observed_at":"2026-08-15T22:45:39.560148Z","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":"2026-08-15T22:45:39.564902Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.564902Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:731ef8b2c85cabb5eb3db1717ebe3d2bf9abfe1f35b5cfac61a380488db9350b","observation_id":"03777c8b-cc66-41cb-abb1-8467e231b5fc","resolution":{"observed_at":"2026-08-15T22:45:39.564902Z","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":"2026-08-15T22:45:39.569486Z","title":"IEEE Data Eng Bull 46(3):3–21, URLhttp://sites","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.569486Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:aa052286eb3d116416c27d35554fc1729c2e48d0d75af12dcc10fab448f60831","observation_id":"a7001f91-6fdd-4326-a61c-1c7a0d9e6774","resolution":{"observed_at":"2026-08-15T22:45:39.569486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13899","last_updated":"2024-08-25T17:44:17Z","snapshot_observed_at":"2026-08-20T22:26:26.802828Z","submitted_at":"2024-08-25T17:44:17Z","title":"$\\boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes","version":1},"cited_work":{"arxiv_id":"2408.13899","doi":"10.48550/arxiv.2408.13899","metadata_source":"pith","pith_arxiv_id":"2408.13899","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"$\\boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes","venue":"cs.DB","work_id":"63784af7-8af9-4613-9dcd-706e80060161","year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.574004Z"},"links":{"cited_paper":"/paper/2408.13899","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:497c1c4e307ca8c1abd63a5400acc213189fe0fc0396c354e28714ad03cd2130","observation_id":"a439617c-7ac6-4391-bbc2-60411bc2db03","resolution":{"observed_at":"2026-08-15T22:45:39.879887Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T22:45:39.579931Z","title":"Proc VLDB Endow 13(12):3152–3165, DOI 10.14778/3415478.3415541, URLhttp:// www.vldb.org/pvldb/vol13/p3152-wei.pdf","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.579931Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:0603b647accdbc3d26ec177e1877076ef5227f5241d585019170800ef710a0f6","observation_id":"bb1dcced-29d0-455c-b1d5-5c0317d13a14","resolution":{"observed_at":"2026-08-15T22:45:39.579931Z","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":"2026-08-15T22:45:39.584612Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.584612Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:6ff6bcbf5a2fac90c53e7da2df3606db1e908354382b16ede454ffca0af8b6ac","observation_id":"fd1d45e1-0c27-46dc-a44f-72f8d71097d8","resolution":{"observed_at":"2026-08-15T22:45:39.584612Z","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":"2026-08-15T22:45:39.589717Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.589717Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:c82096b48ba418082615c8d82a3dd24aa16b298e4e5bbccaffbf1c7f490af20b","observation_id":"c9801fa7-f337-456e-a09e-d962d18ce11a","resolution":{"observed_at":"2026-08-15T22:45:39.589717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02571","last_updated":"2024-09-04T09:41:52Z","snapshot_observed_at":"2026-08-16T13:21:28.742709Z","submitted_at":"2024-09-04T09:41:52Z","title":"iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02571","snapshot_observed_at":"2026-08-15T22:45:39.711351Z","title":"CoRR abs/2409.02571, DOI 10.48550/ARXIV","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.711351Z"},"links":{"cited_paper":"/paper/2409.02571","citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:c2e72974d99f3f2b2bb080655757a0fd847124e26063873ef9a48dc07d7c76c2","observation_id":"d9ffb762-3a39-48aa-ab63-1eeed0b46f86","resolution":{"observed_at":"2026-08-15T22:45:39.711351Z","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":"2026-08-15T22:45:39.716655Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-15T22:45:39.716655Z"},"links":{"citing_paper":"/paper/2505.06501"},"observation_digest":"sha256:bf0fbcbd5048dce15c0d73b734b798a8a1a1f929691277181005db647311a5fb","observation_id":"7d33c106-cfef-4ef8-b821-7f68c7415337","resolution":{"observed_at":"2026-08-15T22:45:39.716655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.06501","last_updated":"2025-05-10T04:02:14Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-20T22:19:37.646925Z","submitted_at":"2025-05-10T04:02:14Z","title":"Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":13,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":80,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":107},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 5 inbound Pith citation observations for arXiv:2505.06501."}