{"as_of":"2026-08-08T10:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba644679ca3a846a08a290ba5bbde3b0755cebbd45c268a7553a4bf50c5d911e","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:59:05.433059Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.23324/citation-record","integrity":"/paper/2505.23324/integrity","json":"/paper/2505.23324/citation-record.json","paper":"/paper/2505.23324"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:01.328136Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:01.328136Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:bca815cd049a6da30ed070c33c0173d273e10ea2a26b2657b3b7c6978bbf39ae","observation_id":"953a4cd8-cd39-4217-acb8-455366ce600d","resolution":{"observed_at":"2026-08-07T12:59:01.328136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:11.813349Z","title":"C., Astle, W","venue":null,"work_id":"ecabb372-d684-4465-9876-77253ca4c79c","year":2021},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:01.555736Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:c09e00487a08efe4189e3d28f0c063db58d12ada3c391dfb72951a477fb807fc","observation_id":"4d45e93b-fd94-4dc4-81de-e7127a09ac7c","resolution":{"observed_at":"2026-08-07T12:59:11.900253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:11.584001Z","title":"and Yata, K","venue":null,"work_id":"2493fd2a-4e7c-4462-b36c-cf7cbf96a637","year":2014},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:01.710774Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:7b3a305f5040607ec270463dfee7e795106fb33ff48f33ccd796b5f8d280ce27","observation_id":"4a47171e-eff5-45e7-947c-8c5e28d90948","resolution":{"observed_at":"2026-08-07T12:59:11.697714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:11.380576Z","title":"and Yata, K","venue":null,"work_id":"86905889-5aca-4c62-bd28-0b5b79e80ae7","year":2019},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:01.836194Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:3cd57bff53433eb40ff874ca0ceacdc70b1d20698543994cdd45310829d01064","observation_id":"71f3b245-79da-47a7-8a43-fdfeb0ea8763","resolution":{"observed_at":"2026-08-07T12:59:11.483872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:11.159985Z","title":"N., Ghosh, S., and Linder, D","venue":null,"work_id":"49a14379-1007-42a6-a946-601e164a37b1","year":2022},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.008585Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:7ec3b6d2f3d0e419c6df494e6a1b0679ee74ff942056f22140f34200a27d89ee","observation_id":"e569bde7-daa9-486b-b8e8-a184883378f5","resolution":{"observed_at":"2026-08-07T12:59:11.249018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:10.963722Z","title":null,"venue":null,"work_id":"551a40ca-0b43-4534-8e1b-b298570a55bf","year":2004},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.141949Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:04ff1582b8537ae3bb91b3a6fc50bb23455f2049a4e37249283c22634a808e69","observation_id":"bac1c2af-7f36-4f4f-a21b-eb1941c9486c","resolution":{"observed_at":"2026-08-07T12:59:11.030108Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:10.736904Z","title":null,"venue":null,"work_id":"5788f66a-2a31-43be-9c87-2adf520b4ef7","year":2007},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.275935Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:10343391db94ee765e77771db45a9b7847121dcb7f037495ba21c15c5aacb072","observation_id":"195b82f4-1399-437c-9086-ac4fbb51a0b0","resolution":{"observed_at":"2026-08-07T12:59:10.862283Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:10.525828Z","title":null,"venue":null,"work_id":"a1918b50-db88-4529-ad92-a521d27b4896","year":2017},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.396275Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:e80092b9e82a946c8eafcb53ce876038b6451cabd5d87707b2ba76ff355c962a","observation_id":"0a896c27-8b6d-43dd-bf4a-6bc0797fd0de","resolution":{"observed_at":"2026-08-07T12:59:10.636169Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:10.336233Z","title":null,"venue":null,"work_id":"71801466-7940-4db8-878b-d4f2228c1b6c","year":1999},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.496653Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:2bbebfd3a173ee51fd29e1d5ddd363088b223cc7cec6a75340dfbc8462e762f6","observation_id":"55b372f8-f043-4fc4-94e5-8017327a2a37","resolution":{"observed_at":"2026-08-07T12:59:10.409687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:10.087689Z","title":"and Gupta, A","venue":null,"work_id":"49e26416-aad6-444d-b758-053c2b0f22fe","year":2003},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.630863Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:e0fd36084e6ee03789b7122ce670e002ef3e4acffc8c9d400dabb7806059c521","observation_id":"ea360ccb-f0f3-4ad3-9d46-be52ffedf8cb","resolution":{"observed_at":"2026-08-07T12:59:10.176172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:09.894454Z","title":"C., Costa, I","venue":null,"work_id":"84d3417d-df03-4235-b458-a1c072624b91","year":2008},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.763519Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:fe1c619841ef1a34530412b6e6fc5ff1a25ff9784d5a407d419a2da2ae07001f","observation_id":"029dcba1-bc94-4a34-8116-8e4394bfd3c0","resolution":{"observed_at":"2026-08-07T12:59:09.985209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:09.648135Z","title":"and Bostrom, H","venue":null,"work_id":"f957cb9d-6f41-47b9-a8c2-dde62336d786","year":2006},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.852096Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:b5cb2bd94f685a72717e9f7f6f6b3d361aa6f939552e93a6dfca9b3eb43fce20","observation_id":"a462127b-7ee6-4d9d-8f46-b8d7302462b8","resolution":{"observed_at":"2026-08-07T12:59:09.782157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:09.399355Z","title":null,"venue":null,"work_id":"f2ad60b7-cb9c-4bf9-b23e-de040880be92","year":2002},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:02.963922Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:929b9c0f3ecc49daae4d42f13adc3d7490d62102231615f6de2dfd41492d3959","observation_id":"7bc61a8b-1dd5-4956-ac2a-4bc6f5d0a9e3","resolution":{"observed_at":"2026-08-07T12:59:09.513846Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:09.182654Z","title":"and Kab \\'a n, A","venue":null,"work_id":"57e6b131-8adb-4517-941c-0933c9700e06","year":2013},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.059955Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:430584800154649d201725991c215d007352842915bb59115dd23d5c92b9b670","observation_id":"72fd52f5-df06-47ee-a50c-d67274f4e1e2","resolution":{"observed_at":"2026-08-07T12:59:09.271503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:08.963779Z","title":null,"venue":null,"work_id":"4355dd32-630f-493f-a396-30d43a820b6f","year":2015},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.186893Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:f2219125ef5aa29332d74a481372519ad52173f41463d35d4bb4fbc5f43533ec","observation_id":"ce05d986-191e-4fff-8e7f-a4794d6bdf5b","resolution":{"observed_at":"2026-08-07T12:59:09.061106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:08.768761Z","title":null,"venue":null,"work_id":"5fc083ab-1678-458e-a142-321ff12d2f20","year":2015},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.287834Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:b1709a66aef304365a4ac25d4a6c0c61c2fb247784743d2fd16877279d7e00ae","observation_id":"ebe0123d-a7b8-47cd-ad64-b893d9ed5496","resolution":{"observed_at":"2026-08-07T12:59:08.860709Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:08.550562Z","title":null,"venue":null,"work_id":"e0750ca0-4975-4369-9186-e1a1262d7a84","year":2003},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.386556Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:ee0534413d0b7009f693caf799742990d66e582fdd259e5fffe1fe28e579476d","observation_id":"897f5ef7-d5a1-4f8a-a9b5-174a72ddc350","resolution":{"observed_at":"2026-08-07T12:59:08.680978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:59:03.500911Z","title":null,"venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.500911Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:e567ddf51423afb523c69ebb3c5146109213b378a4ea3c311736c8cfc4e95528","observation_id":"222ca29f-6216-441c-9a04-611a7ffa052c","resolution":{"observed_at":"2026-08-07T12:59:03.500911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:08.341935Z","title":null,"venue":null,"work_id":"1dcf7df7-7240-4a13-a6b5-277bc9c73100","year":2020},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.612259Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:b0611256b05cd1b5328dca1a3a1b4e445949171b88c1066c44a74242eb0f96d8","observation_id":"7ff48d1a-0cf3-4509-9144-bab93099a30b","resolution":{"observed_at":"2026-08-07T12:59:08.426695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:08.090344Z","title":null,"venue":null,"work_id":"8466a6bd-d238-46ad-8490-4adb9e0e8617","year":2017},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.715108Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:5d3446fb218954a30be46cca220c3ec50ed91f21d67c8c811274a7d0452699ac","observation_id":"6b9bb5ba-3cbb-464d-b59d-0ac0c89150fb","resolution":{"observed_at":"2026-08-07T12:59:08.207273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:07.813945Z","title":null,"venue":null,"work_id":"469b7215-0f6f-45e7-b629-d8dc2c0a1cf7","year":2018},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.803742Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:d09cf102509d09196c29a8ecb82e0b2f8cf3cb3125a8df97d492b1a84d33b3cf","observation_id":"6601d15e-5899-4876-8609-fe1f8a471f14","resolution":{"observed_at":"2026-08-07T12:59:07.960107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:07.580641Z","title":null,"venue":null,"work_id":"59e83e10-8a9e-44b5-b009-84c0515ea854","year":1984},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:03.942516Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:ec80b20d3dbcde9eb5488a542037f3d76a376d45a30efceacc1d21617cf21187","observation_id":"404dde1e-58ef-4ed2-9358-44dddd978f58","resolution":{"observed_at":"2026-08-07T12:59:07.683733Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T12:59:04.060374Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.060374Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:bef6603f4bd634335c532cf599f594b651f10714022dc80a6a206d028b317acf","observation_id":"dbc8f09f-72e9-494c-ae1c-efb241074f56","resolution":{"observed_at":"2026-08-07T12:59:04.060374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:07.357316Z","title":null,"venue":null,"work_id":"25ef6680-1b03-4d2d-89bd-176e4101b283","year":2008},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.198661Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:ece9ad9a5a08c5949f88be7192e877b1d183853ae9408ed3ea3cfa8d3f05d01c","observation_id":"1a4cd157-b5ea-4c52-bef0-963bd63346f3","resolution":{"observed_at":"2026-08-07T12:59:07.453426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:07.182603Z","title":"and Leibler, R","venue":null,"work_id":"b64fb221-bd41-4897-9405-c35210d3d311","year":1951},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.333804Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:ce4fe735b9bba8ca028627485baec87775479feb727ad53d9336ce1e5bbc5362","observation_id":"77ae3553-dcbe-45c4-85d7-c4ddf6ff2639","resolution":{"observed_at":"2026-08-07T12:59:07.263440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:06.976137Z","title":"J., and Church, K","venue":null,"work_id":"7f276bb5-6858-4538-b04c-951569a3fe37","year":2006},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.422614Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:81973ed33d4ada118511c2dfff8c4ecb4fe7b4792f23603f258fb0d823ca0f4d","observation_id":"70edbbba-2e8b-496c-81c3-90c1203bab5e","resolution":{"observed_at":"2026-08-07T12:59:07.089182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:06.826236Z","title":"and Shao, J","venue":null,"work_id":"ca45adba-fcf9-47ff-9a6b-288d627e1e12","year":2015},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.604332Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:d61a73d4f58cfa5c417e0ca4698d5347a9e556239db8443184db84b5a10b63e2","observation_id":"7e0df2ee-3f6a-40b8-a8b4-2b528b4b4900","resolution":{"observed_at":"2026-08-07T12:59:06.892125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:06.610319Z","title":null,"venue":null,"work_id":"aa2db13b-0a96-4e3a-8769-28ee4e3e1b4a","year":2011},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.744108Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:47119c05d9fb89a0a3480fea47b565f9cff9113b3ffb076da45f640154f86fae","observation_id":"69d644c7-c746-41b0-9a9e-2b83d6e5654c","resolution":{"observed_at":"2026-08-07T12:59:06.716124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:06.431758Z","title":"L., Tucci, G","venue":null,"work_id":"eff71492-907c-46e4-88d4-9459fa543c23","year":2011},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:04.877236Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:c405c65169250683de58ae474b126fd562ce4f73c5e438317db855acf0bf1c8e","observation_id":"eee34e67-2c6d-4a6f-a7c4-aae90db4a915","resolution":{"observed_at":"2026-08-07T12:59:06.511412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:06.283237Z","title":"and Dunson, D","venue":null,"work_id":"91935759-3418-469f-9b78-f341f4f49c14","year":2020},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:05.002306Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:d8de13a5fd729a0d8cd7eecd0575f96cf354ee8bed79889416f6f8edc3921689","observation_id":"9581e03f-7615-417b-a054-c33c228c8f7f","resolution":{"observed_at":"2026-08-07T12:59:06.350430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:06.112886Z","title":"and Kab\\'an, A","venue":null,"work_id":"d7e3f891-593f-450a-9756-47ab9a130b7d","year":2023},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:05.105381Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:583e3d03da1f248dd88892c32c8b86f013d0e620f2264d42ee975cbdd48253e5","observation_id":"46dd7ac7-3d7b-40de-b9a7-fad6fcfeb476","resolution":{"observed_at":"2026-08-07T12:59:06.176153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:05.927756Z","title":null,"venue":null,"work_id":"8f8173b2-e21d-41af-9ae8-ba49c979ea51","year":2016},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:05.163851Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:e1686b129e63bd45f4bdc11364bc6612275fe7fddc5ca013b24719fc6f027ea5","observation_id":"1476eeb2-e215-48d3-a75a-c2273bde4a42","resolution":{"observed_at":"2026-08-07T12:59:06.005713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:05.736469Z","title":null,"venue":null,"work_id":"502c440e-dbfe-43c5-b68e-dcab9bc13761","year":2019},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:05.295630Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:74c0a292aae478321cb0fa7489ac67e0e968126b20a26790bee6b3e97fdb8203","observation_id":"2fadb986-abd1-4a1b-aa8c-d5c769c24870","resolution":{"observed_at":"2026-08-07T12:59:05.816640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:05.563453Z","title":null,"venue":null,"work_id":"a934e670-337b-475a-aaf1-5532262eeb5c","year":2019},"citing_paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:05.433059Z"},"links":{"citing_paper":"/paper/2505.23324"},"observation_digest":"sha256:400888e4a28a0ac33524a5d4b6047f01274a6e80902b1145d905ee8217503938","observation_id":"1fad44ba-d876-4620-ac88-ce6da28e0b9a","resolution":{"observed_at":"2026-08-07T12:59:05.630805Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23324","last_updated":"2025-07-09T04:12:29Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-07T12:45:44.805127Z","submitted_at":"2025-05-29T10:33:05Z","title":"Ultrahigh-dimensional Quadratic Discriminant Analysis Using Random Projections"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":34},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.23324."}