{"as_of":"2026-08-15T19:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8661214144bf4f160dfb9e4db09f8cc953d4adbf0cc6a8761d2397eb4dba129","coverage":[{"denominator":62,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":62,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:33:14.529770Z","state":"measured"},{"denominator":62,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":62,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.02410/citation-record","integrity":"/paper/2506.02410/integrity","json":"/paper/2506.02410/citation-record.json","paper":"/paper/2506.02410"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.391560Z","title":null,"venue":null,"work_id":"57fa3f4c-adb9-4697-917b-31532d0f7a68","year":2018},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.420434Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:7e6859ace729a61878785f9ddd93b70a24ca4f96af46fdb803c87dcd7f4298fa","observation_id":"a974b191-a125-4ae6-b0a8-24e0b4720273","resolution":{"observed_at":"2026-08-07T11:33:19.398816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.369067Z","title":null,"venue":null,"work_id":"9bd81fbd-a5fe-4f27-8c41-a6034633057d","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.470592Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:4738591ffc80196f0cd70bf63249652ddd31ebb5cc2a6adfd5a9afb5749709ed","observation_id":"c81be7ea-e3f8-4efa-94ea-610be338b105","resolution":{"observed_at":"2026-08-07T11:33:19.376413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.341100Z","title":"and Vadhan, S","venue":null,"work_id":"9da8d77e-20ab-425d-9fb2-847b72590dc2","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.579362Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:b2dd406a99109464245adcf2e6074b2f621b371b0769e17c081e249b974039b4","observation_id":"f7a11053-094d-4ea3-a442-ec4ea952261c","resolution":{"observed_at":"2026-08-07T11:33:19.349005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.312119Z","title":null,"venue":null,"work_id":"2f10f8b3-0070-4637-9b91-84d04805956e","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.679485Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:43bc477f4b46948bb63407509d735c6cae3941b0b28fced887dd0a62d03c5545","observation_id":"2bc9a820-e85a-4b06-84ca-8cce093fd4d6","resolution":{"observed_at":"2026-08-07T11:33:19.322398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.293177Z","title":null,"venue":null,"work_id":"69369bb4-8ef5-46eb-8a1b-438aa5d13cd1","year":2003},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.743658Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:b4ec5de3f01455e82d6604e7a8c655723e36b4289b142149fed15dabbc9aff97","observation_id":"61c7c758-e45d-4524-abad-2ce2bbb10901","resolution":{"observed_at":"2026-08-07T11:33:19.298372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.270023Z","title":null,"venue":null,"work_id":"4187f37a-37ec-4af0-bd0a-d5f129dfa3a7","year":2009},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.873731Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:8b4a4a7bb1b6424c819b8adfb48a9deceef713582be4f07ed068f5d7b13c1561","observation_id":"fc28397a-5f83-44a1-8519-1cd26582528a","resolution":{"observed_at":"2026-08-07T11:33:19.277981Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:09.963734Z","title":"and Silverstein, J","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:09.963734Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:aa7fc07f1dc8d6dca1f7bc60bc94fb14c1b7c9d60da9221d73c3c98aa6be26d9","observation_id":"d7c94f68-e664-40a8-bc72-1312301c7174","resolution":{"observed_at":"2026-08-07T11:33:09.963734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.217736Z","title":"and Dette, H","venue":null,"work_id":"13b32962-39bb-4bb8-b336-7c21068a728c","year":2005},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.058849Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:eae4697d5ba11979a9f6460ad76077b635fd0aaef57a097848f860b0153062a4","observation_id":"047c45ab-68ce-4828-8330-524f4ea0400f","resolution":{"observed_at":"2026-08-07T11:33:19.224417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.195760Z","title":null,"venue":null,"work_id":"70125730-eb18-4db3-a482-69984d18e529","year":2005},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.155856Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:2ac2bb0ce0191cc02ea943bbbe6868c19f2e743a4167a4c6cac8a34cfd7f0271","observation_id":"f24169f7-83d0-499d-94d0-dabe5dae777f","resolution":{"observed_at":"2026-08-07T11:33:19.201507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.175449Z","title":null,"venue":null,"work_id":"8e6d1200-f80d-480f-b8a9-5236e1d6596e","year":2013},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.231485Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:691f74cdb006b2a78200df12fa48357d8b486a1ed26de1968a14219572aaf342","observation_id":"ac9615c3-68ee-441c-95fe-9b84b47c1bcc","resolution":{"observed_at":"2026-08-07T11:33:19.182894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.155545Z","title":"T., Wang, Y., and Zhang, L","venue":null,"work_id":"c8d4ac03-35b3-49ea-a037-f67b6b87b91a","year":2021},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.318367Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:19a1c0f1ee4e7dc361428a86f8be69835d42eb0669ecfe70af7b75fb04d6c350","observation_id":"75a4f190-a4ea-4c5a-b4a5-c805a199b2eb","resolution":{"observed_at":"2026-08-07T11:33:19.160300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03820","last_updated":"2024-09-27T14:15:12Z","snapshot_observed_at":"2026-08-13T04:47:24.800214Z","submitted_at":"2024-01-08T11:18:14Z","title":"Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03820","snapshot_observed_at":"2026-08-07T11:33:10.434186Z","title":"T., Xia, D., and Zha, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.434186Z"},"links":{"cited_paper":"/paper/2401.03820","citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:2d16ab100561514832c11a0f5be649797c64bfd99512e16235a936c0d2256e71","observation_id":"8fd90c50-9233-402c-b9a9-12f7258c275b","resolution":{"observed_at":"2026-08-07T11:33:10.434186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.132703Z","title":null,"venue":null,"work_id":"a4a8a0ab-1d4c-444c-8734-db862a28ada1","year":2020},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.506549Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:c7d1f6adc02576bbcbf2db050da41eb7845b40cdbf074a13cd6a5f45b7740d3f","observation_id":"9933eb76-0bdb-4fe9-841e-47ff947a5ea5","resolution":{"observed_at":"2026-08-07T11:33:19.140125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.109308Z","title":"L., Kamath, G., McMillan, A., Smith, A., and Ullman, J","venue":null,"work_id":"e420b010-d632-4433-a352-9252f39a350c","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.624216Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:f87776b92143cdb4dab671f491097856e5386d8fa9014523ff312f31a05606c4","observation_id":"e1dd2b62-5bb0-4e1e-a655-bd17c3122ea2","resolution":{"observed_at":"2026-08-07T11:33:19.117283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.092453Z","title":null,"venue":null,"work_id":"568c45ce-1c50-4262-86ca-8505158b5bc0","year":2024},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.723691Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:9852f69762c462dd3da1d383eb79b376eeb0b9cdcc25f38d3de4357ce3739c8d","observation_id":"a3144109-583c-4e34-9403-e7b5062eeec0","resolution":{"observed_at":"2026-08-07T11:33:19.097683Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.074016Z","title":null,"venue":null,"work_id":"d135269c-1508-4cbf-aef1-09e779fb95a3","year":2011},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.805090Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:7893cfaf6623f8fb7be2569a12cbb843938036a8157385a80e4720e06cf10558","observation_id":"7effbb25-8d8a-41d0-a4e3-8aa14cf51248","resolution":{"observed_at":"2026-08-07T11:33:19.080220Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.050571Z","title":null,"venue":null,"work_id":"d07319de-10dc-4b07-8289-726b2412207f","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.867484Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:6a328e10083059b9d3685d7ea26ee44ac4338556c0b433e8daa29b5b96e02669","observation_id":"f0165deb-5550-42db-91eb-bbfdc946b20d","resolution":{"observed_at":"2026-08-07T11:33:19.057712Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.030716Z","title":null,"venue":null,"work_id":"9bee4e89-7f48-4eb4-9d54-1c283a17e760","year":2017},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:10.963627Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:b99545ee66f080d6b3030dbadffeb48681e83e217217f37fef4952c7a16a3ebd","observation_id":"ca6eb816-59e7-4879-bf70-d612e8b45cc7","resolution":{"observed_at":"2026-08-07T11:33:19.036479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:19.004144Z","title":null,"venue":null,"work_id":"46c2944b-4377-45f1-aa7c-9782d6bbaece","year":2018},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.032219Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:6b2ee9406e4c9d481890877295fadebc2ccbb688b27b0154ab787d0488d7d308","observation_id":"b78e9a69-7dcd-49ff-92ef-3ec09ad15ad1","resolution":{"observed_at":"2026-08-07T11:33:19.015276Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.980532Z","title":"B., and Butucea, C","venue":null,"work_id":"13364095-6a70-4dbf-aee2-4805dafde74e","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.105360Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:e9e5d492145e2512c8f574b01bae4bda5fbde6a7caa87cfc9ffc3851f5cd245d","observation_id":"7f33d09b-58fa-43f8-9b1a-462b4ccd3be0","resolution":{"observed_at":"2026-08-07T11:33:18.987435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.957479Z","title":null,"venue":null,"work_id":"2d5e99a4-797a-45ff-8974-12e55286fce4","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.202063Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:e5db1a1ebe701b0d419c6a08056c25f1fe0e79a560ba7c7be48cd8e4b3f6c14a","observation_id":"eecdc715-5eaa-4783-9d48-e0bd44d4455b","resolution":{"observed_at":"2026-08-07T11:33:18.964046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.932438Z","title":null,"venue":null,"work_id":"37997b28-cc5b-451a-b5e0-a34a808a9517","year":2006},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.284649Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:66e07ff789ee04c19bd75bae7f3177ed04417c06015e76daab77f30730b1a696","observation_id":"f94d529c-5962-4cb8-8af0-3cf787d3cc45","resolution":{"observed_at":"2026-08-07T11:33:18.939494Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.896579Z","title":null,"venue":null,"work_id":"7775865c-28ee-4087-822f-d5c625a4733a","year":2006},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.357170Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:1c887f637f31492b2e2aad3a80026ffbdb42df9632707ac3ef000561c82d7dc1","observation_id":"bf02828f-7db3-4cf7-b461-da7b42494a8f","resolution":{"observed_at":"2026-08-07T11:33:18.906301Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.876057Z","title":null,"venue":null,"work_id":"b28b35e9-fc16-4fd3-ba43-45f7d162353a","year":2014},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.432052Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:5d94ec1832352d075d8a8bc12ee154077559efd084e484a809224cf028d2d55b","observation_id":"b8619186-561d-4968-9843-39ed36ba8177","resolution":{"observed_at":"2026-08-07T11:33:18.882541Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.856235Z","title":null,"venue":null,"work_id":"f010dd25-e562-4217-93df-a5bee22e3524","year":2014},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.553281Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:69fe6901ef741f9e9235511cb346126dcf6afeaa81ba894481a2a00977b3fd9e","observation_id":"7ef759d1-a90d-4745-82f2-1af9e9d70afb","resolution":{"observed_at":"2026-08-07T11:33:18.862600Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.828699Z","title":null,"venue":null,"work_id":"9d6c259d-1dd5-43d0-befd-613bd7f83191","year":2014},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.656424Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:893d8f6fbaa876da3cd40f870cc0a47473eec187d4274efe702b9bdb381571ae","observation_id":"51782238-dbc9-417f-af99-452e8478a603","resolution":{"observed_at":"2026-08-07T11:33:18.837373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.795255Z","title":null,"venue":null,"work_id":"5fb94377-823c-4a71-8b83-7577dd9ce135","year":2014},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.757119Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:876eef4fda91dfdc3bc5437f3930f05d67e92007e132530f724997d903644075","observation_id":"9748dbdd-73ac-46e9-9d16-b62742b78b2d","resolution":{"observed_at":"2026-08-07T11:33:18.801984Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.752880Z","title":null,"venue":null,"work_id":"c50c5286-60b9-47c9-8d11-21b3656daa79","year":2016},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.839031Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:ff2d534f51ab0d79b6365bc7b1c2cf02e0bfcedab8d886e0252c1f02e9e9ad91","observation_id":"23055db3-bdc8-44bc-8729-e33748088e5c","resolution":{"observed_at":"2026-08-07T11:33:18.767891Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.713574Z","title":null,"venue":null,"work_id":"6bd4a1c6-e8b8-4ab2-b6d9-8802c7dead3b","year":2020},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:11.929497Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:de3fd6e4ef6d4281f5a5eba3b616c77548d96fb90ba230948b37e54cae5be7dd","observation_id":"f443d062-378c-4c24-8368-848ee31b70b3","resolution":{"observed_at":"2026-08-07T11:33:18.725076Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.684585Z","title":null,"venue":null,"work_id":"cf64f343-5465-4ed8-9272-c458f0457ce1","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.042548Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:10ecc87e401fb877d4e5455e7d2649d7005aeaaa59cae21604fb56ec8eb9d01f","observation_id":"ff252390-e080-434c-8798-bc89d1bddb73","resolution":{"observed_at":"2026-08-07T11:33:18.691115Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.646045Z","title":null,"venue":null,"work_id":"8a76957c-f04b-4717-b744-418ce31e300d","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.134134Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:2f1f4da4283f82d8fa14057f3fc259b6ba70680d536af7ec9139bb4979810217","observation_id":"26f0b1e0-a915-4bc3-a647-c82e0431e9fd","resolution":{"observed_at":"2026-08-07T11:33:18.655334Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.612235Z","title":null,"venue":null,"work_id":"9aa2cc99-0697-48ef-89a3-8974984bf847","year":2012},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.212234Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:b03924be78b05efc012b19fe951f3f2bcedb8ae5bb475c17a4f1999f5fd17955","observation_id":"0bc476d3-11a2-40df-8c56-bd4f125d39ba","resolution":{"observed_at":"2026-08-07T11:33:18.624789Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.589310Z","title":null,"venue":null,"work_id":"9a40f153-5df1-4545-acf0-142797b8b9be","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.303782Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:ad0452cf8b797b41df211743cec3f3acc32276878c3bf7413a96c35fa0fff136","observation_id":"54d4a7dc-787b-49be-b772-1b2a96286199","resolution":{"observed_at":"2026-08-07T11:33:18.596193Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.563593Z","title":null,"venue":null,"work_id":"9fc1ca74-c9f6-4207-bf1c-a648e80b7fbc","year":2012},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.381485Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:7a445e9b1dc09f7f0fdfc9228b69780ad4e2aefa8a7e0b58812ba4d7070b134f","observation_id":"1566d94b-fdac-424f-a5a8-115341b96f2e","resolution":{"observed_at":"2026-08-07T11:33:18.570535Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:12.459606Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.459606Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:2b17be30205912ce2a5c7065758354ffe52ad8fe3d5e73398875843b70ae2af2","observation_id":"1c55a568-2d2d-4946-a632-f33fce07b66d","resolution":{"observed_at":"2026-08-07T11:33:12.459606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19043","last_updated":"2026-07-29T11:31:56Z","snapshot_observed_at":"2026-08-13T05:38:07.712195Z","submitted_at":"2023-10-29T15:13:36Z","title":"Differentially Private Permutation Tests","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.19043","snapshot_observed_at":"2026-08-07T11:33:12.554143Z","title":"and Schrab, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.554143Z"},"links":{"cited_paper":"/paper/2310.19043","citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:5a5bf055f272e6f4c36ad22fb5ed25627911f48931825038f32bd742af02f10c","observation_id":"8afdec7d-d5b5-45bd-aa4e-83a41a6b5bf9","resolution":{"observed_at":"2026-08-07T11:33:12.554143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.518839Z","title":"and Yin, J","venue":null,"work_id":"bb6d5536-bbe9-4adf-ab71-d02ade282235","year":2017},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.657300Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:52f09f61e9c90ddff1429ce6994d69147b0f95abda9a98bbe2bcac17851fbd9c","observation_id":"88bfe01f-688e-44bf-b4f9-6685343dcd77","resolution":{"observed_at":"2026-08-07T11:33:18.524455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.478350Z","title":null,"venue":null,"work_id":"4ca70d19-f405-416e-aedb-16c53477532e","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.726235Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:288f9bd66f17e786e1fae17dfaaf72448ba93d547c0a6f51d186f6ee3411db44","observation_id":"1f35f42b-887a-4709-a1f5-9a27f8cd6217","resolution":{"observed_at":"2026-08-07T11:33:18.492832Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.445884Z","title":"and Wolf, M","venue":null,"work_id":"fe81eb6b-2b54-453f-af95-1ddaaa725b53","year":2002},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.793905Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:c6cf8a62101d5415507122c8e5f2d2a23f27e87821a2d382531e37624bb689fd","observation_id":"8f246af0-5063-43db-9c9a-6d76e66bfb0c","resolution":{"observed_at":"2026-08-07T11:33:18.453057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.414653Z","title":"L., Romano, J","venue":null,"work_id":"82c2a76e-65fd-43ec-a376-b49f8dea4413","year":2008},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.874249Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:60edde955ff290f77f5dbda14712d183ee54681d263fab49f998e743b9ea67f3","observation_id":"b3694eec-d285-4338-8245-69a490d394e2","resolution":{"observed_at":"2026-08-07T11:33:18.425348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.389071Z","title":null,"venue":null,"work_id":"c71d5a00-fc26-4c46-b28f-174af74dd3dc","year":2024},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:12.968266Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:1c3398e4d7aa46f2bf93357ed7f163a2dd1cdf5f329f9d7e35293d1f9edd66fb","observation_id":"8a477862-88fd-4676-91c7-80db6e7fc140","resolution":{"observed_at":"2026-08-07T11:33:18.397363Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.356706Z","title":null,"venue":null,"work_id":"e67cdf09-d5f1-4bd7-9c12-aa82427138b9","year":1967},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.060846Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:8636e3d60f99958f51ec7d430682a3bb56433c1b84455820e547d5c2586815ac","observation_id":"1c50767c-8b3c-43ea-bc36-c27cc871462a","resolution":{"observed_at":"2026-08-07T11:33:18.364071Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.332859Z","title":"A., Vannatta, R","venue":null,"work_id":"7226a5c3-9f73-4b60-8a94-8f285981d884","year":2021},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.153880Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:b075ff5311ce8ee09f4b8b6eb271d35b2477c5c410d04c8bd58eb6e67a55c134","observation_id":"0001e34b-6183-4c64-b924-d571ce31e4ea","resolution":{"observed_at":"2026-08-07T11:33:18.340059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:18.257235Z","title":null,"venue":null,"work_id":"8b297e22-8f44-4436-9026-a8fcb565293d","year":2022},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.229265Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:629de25fbde7ee57478589b42a8fbe928b503c0d939d6406432ddcfd9b43c059","observation_id":"0d115c9a-0923-4041-b9ee-8fee59126377","resolution":{"observed_at":"2026-08-07T11:33:18.316686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:17.999932Z","title":null,"venue":null,"work_id":"a13acbe4-5068-4de0-a68e-61e9db2784d5","year":2009},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.303054Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:40a1c6fe298022c57e9b84d961db1b593fbd1fe36531b6ad62a597452223a813","observation_id":"f74045e9-7b89-49bc-a995-4b91a4f4decd","resolution":{"observed_at":"2026-08-07T11:33:18.125670Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:17.819028Z","title":"and Chen, S","venue":null,"work_id":"b837535a-5705-48ae-9323-37efcf300942","year":2015},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.375422Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:942a4dfce5d019092d75ee5852a493da9f2996f6f1f1708a3309a7b0a54a6b66","observation_id":"9414d942-fe86-4a67-a9ba-32a93dc07a03","resolution":{"observed_at":"2026-08-07T11:33:17.904467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:17.681272Z","title":null,"venue":null,"work_id":"ad8081cf-507e-4115-b26b-5e08408c6035","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.482826Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:a946a53421f1563fe3576574e9c5e0c1e55395637997ba9023a6894a6e4c9e57","observation_id":"1382e444-4a94-4250-a616-9e967d5c6453","resolution":{"observed_at":"2026-08-07T11:33:17.725553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:17.581402Z","title":null,"venue":null,"work_id":"d2ca02de-1838-4b2a-a5ec-5c501d30d0a8","year":2017},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.537441Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:83834ddb6eb586af8af2cfd915e21bab56e850f32be6b8d5eae16bb1d53a64b4","observation_id":"5e72bc10-1d42-4e48-955e-086ebb4791e9","resolution":{"observed_at":"2026-08-07T11:33:17.621182Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:17.479074Z","title":"and Umeno, K","venue":null,"work_id":"01d10685-0a40-4498-a052-e7085c3a0628","year":2018},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.622580Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:b7aa59d2575449573c289c192687aebdc20142637c87b201d4464e9d957a3f00","observation_id":"c394d2cd-0ae3-4acd-8475-061ac0b22e2c","resolution":{"observed_at":"2026-08-07T11:33:17.534624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:17.302951Z","title":null,"venue":null,"work_id":"20f78546-b15a-456d-acc9-a07d6e7d27b5","year":2002},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.703367Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:1daa05d32fa2fdd7d2a9b5570d3438fd3479c96a897d564b035d11445ed13340","observation_id":"4999c40f-f927-45ae-8d76-05d22e70e094","resolution":{"observed_at":"2026-08-07T11:33:17.410088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:16.949666Z","title":null,"venue":null,"work_id":"9c617349-c809-4043-9f46-eba2b4ccbc1f","year":2005},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.752747Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:6afb2e1faa84b7508a0713e50fbed7c33d887836fd07f809a7a5a54d6cb19d1f","observation_id":"384ef9ec-dafa-4a58-87b2-b4a5b40187bd","resolution":{"observed_at":"2026-08-07T11:33:17.150281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:16.714955Z","title":null,"venue":null,"work_id":"a001f718-2fe0-4f18-b4bd-e2f701bb19a2","year":2012},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.805163Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:d31f54afed9e86590d2fc240d2e7f86f5ed189a7bb92e7c4c48828c3995b9b0d","observation_id":"f5016b3e-73ed-417f-80b3-82b236b5817b","resolution":{"observed_at":"2026-08-07T11:33:16.808511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:16.388770Z","title":null,"venue":null,"work_id":"2fbac79b-2880-4112-85ea-d89d55ff4b80","year":2024},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.873843Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:d9b16c3a49a7f4df308ad3123242bed3180fed0008899274d064baa973a0f6bf","observation_id":"d8843c33-c4c2-42f9-8375-9d2e292990ee","resolution":{"observed_at":"2026-08-07T11:33:16.579816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:16.044450Z","title":null,"venue":null,"work_id":"735a2c30-b545-4bc1-8bc2-18d359efb466","year":2017},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:13.954641Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:3108136f39e60dbcfb07dfab729bf3434ddc3a49b97235b7769954ad194f995e","observation_id":"cbfdab26-3ad6-4cbb-9bfd-f35b718343cd","resolution":{"observed_at":"2026-08-07T11:33:16.229986Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:15.745096Z","title":null,"venue":null,"work_id":"a37d8091-c2dc-4a32-8ec8-a686c8eec5b2","year":2013},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.004738Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:6919b2ca5de47ace02b435ea7494a4785daa5943b2f85dca4091f47fc4a78939","observation_id":"5f4f025a-ee31-4a19-9d6f-8ba3eef1a114","resolution":{"observed_at":"2026-08-07T11:33:15.888926Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.02596","last_updated":"2018-07-07T10:56:30Z","snapshot_observed_at":"2026-08-14T19:38:39.544747Z","submitted_at":"2018-03-07T11:03:36Z","title":"Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.02596","snapshot_observed_at":"2026-08-07T11:33:14.083731Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.083731Z"},"links":{"cited_paper":"/paper/1803.02596","citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:6c26cd74f5f71f15b3fd0a106dfd09b4bcbf2bdcd1a517fac553694e4157e27f","observation_id":"9450a1ab-4fa2-469e-8555-a5a24c6378a7","resolution":{"observed_at":"2026-08-07T11:33:14.083731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.03376","last_updated":"2017-03-18T06:55:30Z","snapshot_observed_at":"2026-08-14T22:23:58.075356Z","submitted_at":"2015-11-11T03:36:38Z","title":"Revisiting Differentially Private Hypothesis Tests for Categorical Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.03376","snapshot_observed_at":"2026-08-07T11:33:14.161655Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.161655Z"},"links":{"cited_paper":"/paper/1511.03376","citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:1cc90306ce9e4188d208f2289b33f47b79962046071792a2550aca79a5078a4e","observation_id":"64dc20f5-a2ad-40fb-ae92-205e28e72b62","resolution":{"observed_at":"2026-08-07T11:33:14.161655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:15.434055Z","title":null,"venue":null,"work_id":"caf8d072-e6f5-4c6f-9206-9d24ae290f07","year":2015},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.237089Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:37f74086b13d5249db36b64399dd51c5c3985b6905da8907ff373a55833b5092","observation_id":"da22e254-9937-43b6-93f8-ef77d883e5e3","resolution":{"observed_at":"2026-08-07T11:33:15.585363Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:15.081116Z","title":"and Zou, H","venue":null,"work_id":"7c65ea8b-c651-4479-ad3e-6112b0d6b430","year":2013},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.307413Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:63e9b7812a085d4b9a85a5b1f1664d6290a9bbd77f645e1da0ff949c92784732","observation_id":"1c48397d-f094-4115-9dee-cb6c117050fd","resolution":{"observed_at":"2026-08-07T11:33:15.274124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:14.371325Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.371325Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:9bffb345223cf05d49cd663a48d462b2521087ada63595861837f2e79d5e6e84","observation_id":"8fa655d8-d398-4f54-ac48-553578b4397a","resolution":{"observed_at":"2026-08-07T11:33:14.371325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:14.917282Z","title":null,"venue":null,"work_id":"ea8b3d14-15e5-4ff2-87e9-cd3fff59a353","year":2019},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.465653Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:8db859d27371e42ea4a1ac8fb35bc517a37f6a73feda044f80a5b49eeaf2eac9","observation_id":"fa28a62d-e7bb-4332-90b2-d51989fcdc70","resolution":{"observed_at":"2026-08-07T11:33:14.986258Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:33:14.789641Z","title":null,"venue":null,"work_id":"e62e0635-d6a7-4a1b-b333-1290a961b1af","year":2023},"citing_paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:14.529770Z"},"links":{"citing_paper":"/paper/2506.02410"},"observation_digest":"sha256:ec97ab76c847dec9438b9b619ef710a231e95ace71a419756df275de10089426","observation_id":"8ddb4f80-f11e-4ff6-8f1d-a9d3428f91fc","resolution":{"observed_at":"2026-08-07T11:33:14.830869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.02410","last_updated":"2025-06-03T03:53:51Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-12T17:02:00.787100Z","submitted_at":"2025-06-03T03:53:51Z","title":"Testing for large-dimensional covariance matrix under differential privacy"},"reference_resolution":{"displayed":62,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":50,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":62},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.02410."}