{"as_of":"2026-08-16T13:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65d00ffa8a01080a5406dfe8205cf93f12c27362f4e997053913baaba4d7b35a","coverage":[{"denominator":71,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":71,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-10T08:16:58.503519Z","state":"measured"},{"denominator":71,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":71,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2607.08388/citation-record","integrity":"/paper/2607.08388/integrity","json":"/paper/2607.08388/citation-record.json","paper":"/paper/2607.08388"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T08:26:59.483460Z","title":", title =","venue":null,"work_id":"353005dd-7e54-48d8-b02f-06ad43da5998","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:09a258528e0bde763766166885e51205e01ccd90c80d8db47ed0b21c3778ef9d","observation_id":"d207b0d7-ff84-4864-8a93-a1d68aeb52ee","resolution":{"observed_at":"2026-07-10T08:26:59.484528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.spl.2016.01.009","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Tyler and Daniel Vogel , keywords =","venue":"Statistics & Probability Letters","work_id":"6d48eb12-5c64-4a29-8442-da09e283a56f","year":2016},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:3ecdb0b7a7eb9b45537ab4969eff8d079b38b67fd1ce1fb65bcfa0bcb3dcb115","observation_id":"04a50393-7ba4-42d8-a166-51ba37a316f4","resolution":{"observed_at":"2026-07-10T08:26:58.899058Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-07-18T09:21:03.39191+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T09:21:03.39191+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.546226Z","title":"2001 , publisher =","venue":null,"work_id":"95e14833-bea5-4568-bc5f-534ad6d3f604","year":2001},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:124d89b6fb706c67b7ce9f77881964a8f197d23c0f310cf95fd75916700a8db5","observation_id":"f032d94e-10a3-4724-89ce-3923abca67ee","resolution":{"observed_at":"2026-07-10T08:26:59.547463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.515892Z","title":", title =","venue":null,"work_id":"bc89a805-1a18-45cd-9b2a-9f475420d81c","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:817725b6ab3bc03128d0792cbf70c61b4ed92d1c69116d6ed8fcd75d062ad663","observation_id":"ac60f952-176d-4403-a3ac-a96a601d3f2a","resolution":{"observed_at":"2026-07-10T08:26:59.516892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.517409Z","title":"and Wolf, M","venue":null,"work_id":"d9c759fc-8775-4a51-8b3d-50375b7e9d83","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:bfaccd3e59b2f8b330a1817a42354757d8207669c5bccd1c9dff721b2662ecd1","observation_id":"d5bfd3c6-7c3e-4fcf-9635-32ffe8322d3f","resolution":{"observed_at":"2026-07-10T08:26:59.518424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.518976Z","title":null,"venue":null,"work_id":"d9ec4078-7fc4-4bc5-9e8a-b8498d588bce","year":2018},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:f03d299067bc3a6e2b076cc1b35c11721d9a0952e3c6efe4f3cabca17ca9ecd0","observation_id":"5d642f59-c7ec-4ee0-8951-d209e8f57502","resolution":{"observed_at":"2026-07-10T08:26:59.520014Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.523683Z","title":", title =","venue":null,"work_id":"13ddeb45-e71d-4589-be9f-ad482fc711bc","year":2012},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:cdc5b96fff605450c0b7a09570cf0f6dcef2885f2b9b26f82a6d12b57f343808","observation_id":"5100349b-2a2b-4a0b-a729-790f53e33291","resolution":{"observed_at":"2026-07-10T08:26:59.524728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.514361Z","title":null,"venue":null,"work_id":"c989ee1f-ffd4-4418-a028-ae95cc1d9925","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:d78c059516934b6bd2e296d5f87feafab2726d7fe3319bf3f61a6434accdb517","observation_id":"59fdbc8a-2ec5-4987-84be-43dcb68eb275","resolution":{"observed_at":"2026-07-10T08:26:59.515356Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.509657Z","title":null,"venue":null,"work_id":"7e9114c9-2074-4a1a-a9c2-39aeedee53f8","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:97080a0628378dfd4875e11eb5e27c87b4aba6d64b58252ddd0cc9b76e32e634","observation_id":"0915d87d-3368-4f62-a135-17e7e5525fca","resolution":{"observed_at":"2026-07-10T08:26:59.510696Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.511251Z","title":null,"venue":null,"work_id":"dcb64ffd-79d4-4d45-bf92-1500643a8d74","year":2013},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:1d2866a95f0e8723dd743920b4ff9879531ec8f4dac6e9ef8efe7a704401daf1","observation_id":"d0fa064d-c7d3-4cd2-9afa-b215f8306133","resolution":{"observed_at":"2026-07-10T08:26:59.512289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.512829Z","title":null,"venue":null,"work_id":"83c21166-7a42-4b4e-9883-f4d2a2284468","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:f74ab168192cbe21544e1af756485e8ed4ab39c2585d066c6556289feb006763","observation_id":"810ac386-3c6f-40b7-a8ca-302fb3a7baee","resolution":{"observed_at":"2026-07-10T08:26:59.513826Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.522099Z","title":null,"venue":null,"work_id":"39eeb7b8-b0ff-42d4-9c07-57d1ced54bb2","year":1997},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:6b446e5d378a86e01c47915734e23e2330e91cd6f2143e179e4599586b29bafa","observation_id":"7810f089-0f80-42f0-a53a-138b59e8c7ff","resolution":{"observed_at":"2026-07-10T08:26:59.523132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.503310Z","title":"and Yao, J","venue":null,"work_id":"d3cd434c-670c-43ec-8b76-4370edfc5182","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:0ee1b303dec15a26079ac3a272cfde06e0e49af3d65320b7e2f8aa7960059ff7","observation_id":"35495c18-affe-4134-b25e-32fb27f0326c","resolution":{"observed_at":"2026-07-10T08:26:59.504341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.504864Z","title":"and Yao, J","venue":null,"work_id":"a285513a-d121-4e42-922f-86cee3050e85","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:bfa0599e285bca8cb9600a6d789e566352b7986c87e492e4c3a32eb581a1abda","observation_id":"cfb2fb3b-64fb-4554-9fcb-e3a5ddeb0407","resolution":{"observed_at":"2026-07-10T08:26:59.505948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.506486Z","title":"and Radojičić, U","venue":null,"work_id":"25531c4e-97f2-4f20-b2f2-ccbe4a414eb2","year":2024},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:d8cd0133e84beb6fa01b16542b574bfdc25e92a3b320ce028536b46244daf132","observation_id":"6103e456-7086-4640-b050-e1f0efc7b1f1","resolution":{"observed_at":"2026-07-10T08:26:59.507539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.508078Z","title":null,"venue":null,"work_id":"1c79abcf-3359-4a81-9ab9-12b3ce15c5ee","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:e8cec7c9cc5816cfa46c1672ed8cbdd6bdaa470650c46ee2be929f61119c5497","observation_id":"631ee1dd-f005-4312-abeb-87daf8745fbf","resolution":{"observed_at":"2026-07-10T08:26:59.509094Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.520549Z","title":null,"venue":null,"work_id":"fd8fb976-130b-489d-a926-4743d02978e4","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:bff4997a2ba3b92e2c60115c4ea7d0ad248bd72866b780d1bbe42601c6f24548","observation_id":"667eafee-d051-42a3-bf9d-43382b3cd398","resolution":{"observed_at":"2026-07-10T08:26:59.521564Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.547976Z","title":"Journal of the American Statistical Association , volume=","venue":null,"work_id":"3f3efac0-e16f-4e9c-bde8-56084eabfae0","year":2023},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:158e90ee24c1aba8fb42ffda38c890c2ab2baeac72767e839f57df57202baa7e","observation_id":"35eb7a3e-7e0e-4383-9722-19bd5389cd1d","resolution":{"observed_at":"2026-07-10T08:26:59.549125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.491775Z","title":", title =","venue":null,"work_id":"2ad3cd7f-c977-458f-b3ad-9988544951f3","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:a7b8b5eaf32d0a08918490736ae3978f4d1af25a01129aac077d2b4f3814208f","observation_id":"f7c455fb-0cbe-4807-8be5-c95f3ebc0a22","resolution":{"observed_at":"2026-07-10T08:26:59.492813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.500038Z","title":"and Zimmerman, D","venue":null,"work_id":"096d7d36-39e8-4dc7-803f-35442ca71242","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:d1c0883a19ef9808ad33698dc13c99d7a635ab529c518a0194b42a308e5a5545","observation_id":"df18dcc8-0acb-4780-ae31-607c928ec598","resolution":{"observed_at":"2026-07-10T08:26:59.501107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.473710Z","title":"and Klein, D","venue":null,"work_id":"b92c2ba9-f1f8-47e5-a9f7-e320098671fa","year":2018},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:2166dd333656bdc2beaff6c9075ad56bed1db398b2e057337b538b262f1bc8fc","observation_id":"d1918ddf-4075-4db1-8b3a-ba7a68ff0feb","resolution":{"observed_at":"2026-07-10T08:26:59.474731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.472159Z","title":", title =","venue":null,"work_id":"11418162-7aa5-4118-9d9c-e3560affa751","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:3e3bf67e76d76e7f07f6f2c6113b5eae23c0a73255798e0fa5d8022dd74737b3","observation_id":"5beca078-ca72-4db6-bc14-e095509591c5","resolution":{"observed_at":"2026-07-10T08:26:59.473180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.475247Z","title":null,"venue":null,"work_id":"9d46fe8d-bc0e-4f32-a9d9-c4be66111343","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:3934486fc8f83d3854428577e395cd8182a1a86861b0fbb9ab84077b35e3971f","observation_id":"435c2885-6c31-4b83-bb61-6ac2337d9dfc","resolution":{"observed_at":"2026-07-10T08:26:59.476293Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.478450Z","title":", title =","venue":null,"work_id":"16a9c9c4-1371-4d41-ad1d-b49878a13cc8","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:479f4a3bc715cc603ac893f9eef057527dfcb37c9537e1af503cd2f8bfcec094","observation_id":"8709e2c8-31ee-47b1-b772-e081fdf90778","resolution":{"observed_at":"2026-07-10T08:26:59.479509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.480078Z","title":"Rosenthal-type inequalities for the maximum of partial sums of stationary processes and examples , journal =","venue":null,"work_id":"35cfc7a4-7953-4e92-aa52-cff92c2c638f","year":2013},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:3085e3fae6b680496b49da8765ec15692cea4f097742dd227fe2c728970492da","observation_id":"ce003dfc-3942-42fb-aa0c-795a1da6e5a4","resolution":{"observed_at":"2026-07-10T08:26:59.481239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.488593Z","title":"and Kuriki, S","venue":null,"work_id":"8282da28-5e9e-447a-abb0-3355c90413d2","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:f39be58a48f8c5c64ee63031a9774262b9508879069ef5fd797fac90d2032cce","observation_id":"5e453b3c-a66d-45b2-98a2-ef005f674c27","resolution":{"observed_at":"2026-07-10T08:26:59.489712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.495001Z","title":null,"venue":null,"work_id":"90b83d74-965b-4430-976f-dc8212252c05","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:0a49caf06e7ff985630f371a7a80f0ccdc7033b8d7e21c39a44f836e1df77031","observation_id":"83e3b043-0764-492e-8488-cd4d9cf54a2f","resolution":{"observed_at":"2026-07-10T08:26:59.496050Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.465581Z","title":"and Oliveira, R","venue":null,"work_id":"20084c04-d39a-4236-8077-3b4454f95f70","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:9782998b057cee26cd5e227df8097031de516c47805c01fde36e70b54e3cc3e5","observation_id":"bdd68ce7-862b-4aa3-a942-5aacc926b0bd","resolution":{"observed_at":"2026-07-10T08:26:59.466794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.467369Z","title":"and Sarkar, S","venue":null,"work_id":"66c2683f-312d-4d2b-8825-db2b8ba1dd56","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:9b6f9fc1fb06dcb8660daccd0519079f7c56f1abfa715063f675b46489a349fe","observation_id":"87195096-13df-4f06-a96f-b29e03acbbb5","resolution":{"observed_at":"2026-07-10T08:26:59.468455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.17463","last_updated":"2026-07-16T23:19:31Z","snapshot_observed_at":"2026-08-15T19:06:06.467901Z","submitted_at":"2025-06-20T20:06:14Z","title":"Testing Separability of High-Dimensional Covariance Matrices","version":4},"cited_work":{"arxiv_id":"2506.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.17463","snapshot_observed_at":"2026-07-10T08:26:59.075053Z","title":"Testing Separability of High-Dimensional Covariance Matrices","venue":"math.ST","work_id":"9c5a30b6-9dfe-44c5-b5c5-7e5cd45df208","year":2025},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"cited_paper":"/paper/2506.17463","citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:f4e8e47704dcbc417ce96fbbc0e24fd08afb4164385d79382427c21a2695f138","observation_id":"ad533737-0b6b-48da-8568-76bbbeda9387","resolution":{"observed_at":"2026-07-10T08:26:59.076450Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04913","last_updated":"2025-01-09T02:10:12Z","snapshot_observed_at":"2026-08-15T23:45:04.592044Z","submitted_at":"2025-01-09T02:10:12Z","title":"Separable Geodesic Lagrangian Monte Carlo for Inference in 2-Way Covariance Models","version":1},"cited_work":{"arxiv_id":"2501.04913","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.04913","snapshot_observed_at":"2026-07-10T08:26:59.072582Z","title":"Separable Geodesic Lagrangian Monte Carlo for Inference in 2-Way Covariance Models","venue":"stat.CO","work_id":"fc8d0a59-3ca1-4a03-8af1-fc4d38aa11bd","year":2025},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"cited_paper":"/paper/2501.04913","citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:aa69867491f9086730142396a431fb7cae74fc4b31684eb1d288a2b12f1c7def","observation_id":"20469a3d-2959-445c-8787-3fab438d0af8","resolution":{"observed_at":"2026-07-10T08:26:59.073749Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.556451Z","title":"and Dierickx, G","venue":null,"work_id":"5152bba8-e181-4e4a-adff-76cdd977031a","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:a070ac5a3f6f9bf01ae9b07736d73976951f5c7ba6cf28cb745b1a04d0a221f5","observation_id":"18fd6e72-b281-4b3d-8ab6-0794a9ab5e73","resolution":{"observed_at":"2026-07-10T08:26:59.557593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.559747Z","title":"and Dette, H","venue":null,"work_id":"e810bba8-63f0-4536-afd2-d6e3f85a961e","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:b028c47ec51eb1cd8aa3d4c94ab6036f5ff56fac65b6cc9ca0aeea4baa37c8fe","observation_id":"7ff135e9-6fec-4dcd-afdc-d980384ee638","resolution":{"observed_at":"2026-07-10T08:26:59.560834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.493383Z","title":"and Trushin, D","venue":null,"work_id":"bbc2d4f6-75e0-4a1e-80c9-4f5fa8491660","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:da5af1b2524541101f8770617602431dba9cfd9799d080a2ce0830badf55d73f","observation_id":"1c645c0e-f28f-4579-85c1-ab79f19d29cb","resolution":{"observed_at":"2026-07-10T08:26:59.494444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.558140Z","title":"and Kotz, S","venue":null,"work_id":"feab2227-6add-4561-90ba-b871e5f0f62d","year":1990},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:78d9bc95e189dcbde6adc51a4aecf1e5debf2079a2af21db4d76187af241be02","observation_id":"01c0ebfe-f28f-4a72-a842-2bf20dffcdfc","resolution":{"observed_at":"2026-07-10T08:26:59.559199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.470577Z","title":null,"venue":null,"work_id":"9b890e22-6873-4d66-ae1f-34f42c4690f8","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:09138afc5f41a207c702e5a2d8f9f1050c72f4c48822c425bd35b1f2b97f3ded","observation_id":"1b264af6-0c85-4725-baf1-11a1560ad551","resolution":{"observed_at":"2026-07-10T08:26:59.471606Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.532733Z","title":"and Hadjipantelis, P","venue":null,"work_id":"651bb3bf-6cfc-4d9b-84c9-62e7e5f361c5","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:edb56c02a6f18d3e9d6709f987e5dca6f81ee1b5b34cffc667665a5cd9b84c1b","observation_id":"97e74ead-3d47-445e-af93-6ba2aaf40d7a","resolution":{"observed_at":"2026-07-10T08:26:59.533735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.460860Z","title":"and Aston, J","venue":null,"work_id":"439337ac-fd68-4133-8f70-edecf4be48ea","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:6dc9585688899e89773c67b334765f734108b7136da3ee4a6a1b1946a08cfd83","observation_id":"611a37c4-718c-4bd7-9e8a-da28be46f123","resolution":{"observed_at":"2026-07-10T08:26:59.461896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.459204Z","title":", title =","venue":null,"work_id":"688f931a-e9e4-476d-b1f4-b4bfe2c4a33c","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:b1e66cc536a5ea756b73381dbb428c9c9759b474dbae3d3df6475b933f050bf7","observation_id":"6ee7c98b-9289-4732-acb8-169747fc79e8","resolution":{"observed_at":"2026-07-10T08:26:59.460305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.454261Z","title":null,"venue":null,"work_id":"e2422c8f-6304-4721-b8d9-90627dbdaa4e","year":2008},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:7d1d9a30a64a7a6b33cf0575b408c793c30a57b1e191a16bcb52e9604407fd99","observation_id":"5cdd986a-e84d-46ac-8854-835748c21336","resolution":{"observed_at":"2026-07-10T08:26:59.455311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.452670Z","title":"and Krey, S","venue":null,"work_id":"b13489b6-bd1e-48ae-a83d-549a217d96a1","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:ca01dea30febe12f679cdf9fe9aa7cb49c22804810955f09b43785122ba786cc","observation_id":"dc02e27e-9f87-4ba6-84dc-ee6d12ad55eb","resolution":{"observed_at":"2026-07-10T08:26:59.453746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.463990Z","title":", title =","venue":null,"work_id":"510a7c10-4985-42e5-bfb0-6f91b6b4cd74","year":2018},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:3138bc66ea23b82041aa17e5945895e9a7767cc22753373579f77dbcce8b0d51","observation_id":"6acbe2f5-c55f-472e-a3ca-392835cdd969","resolution":{"observed_at":"2026-07-10T08:26:59.465032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.455893Z","title":", title =","venue":null,"work_id":"d1904afc-4f46-40ee-9d92-89d25184ab12","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:559e504f087c0a36438102fd8d4109d4fc0466d3a78854c07198c7a0c878188c","observation_id":"84e7cade-a16d-46b3-81cf-89ac6acdac68","resolution":{"observed_at":"2026-07-10T08:26:59.457047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.462433Z","title":"and Genton, M","venue":null,"work_id":"12f35291-c39d-48a6-8f63-229524e2e5f0","year":2007},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:380589d425a4d199628e8565f9242004b91c76b4ce14d598daa5c5e3572536ec","observation_id":"95ab5737-c8a0-4c7e-b09d-bf66b8dad4a1","resolution":{"observed_at":"2026-07-10T08:26:59.463460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.05599","last_updated":"2017-02-18T10:58:00Z","snapshot_observed_at":"2026-08-14T21:15:54.067178Z","submitted_at":"2017-02-18T10:58:00Z","title":"A representation theorem for stochastic processes with separable covariance functions, and its implications for emulation","version":1},"cited_work":{"arxiv_id":"1702.05599","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.05599","snapshot_observed_at":"2026-07-10T08:26:59.077791Z","title":"A representation theorem for stochastic processes with separable covariance functions, and its implications for emulation","venue":"math.ST","work_id":"45d9d855-c884-418b-9095-8d459872edaa","year":2017},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"cited_paper":"/paper/1702.05599","citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:ee53dec73753bacda2d8142dedb30253af5fcdf3106385393cd555468ea5b22d","observation_id":"3ce701c6-6a03-4feb-b53a-1fc2aa07884b","resolution":{"observed_at":"2026-07-10T08:26:59.079099Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.457596Z","title":"and Dette, H","venue":null,"work_id":"846f1bd9-dfaf-407f-95aa-a1e5556551c3","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:5f37870c9bf27bfe32ed55a3e0a76892e820c6c3de1b1cf88702d9da888ea059","observation_id":"c6953fd7-fc89-447a-8ef1-647a60e21ca5","resolution":{"observed_at":"2026-07-10T08:26:59.458659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.469006Z","title":"and Kokoszka, P","venue":null,"work_id":"11b43e67-8157-4fea-961c-090af9872f17","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:1007dcb0837f0f393e7d39806dbb1c9558178dd5cf3197fe5a9156e8318f89c7","observation_id":"9f3d87de-33ed-4b31-ae50-35feaa74ea3a","resolution":{"observed_at":"2026-07-10T08:26:59.470057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.496562Z","title":"and Chiou, J.-M","venue":null,"work_id":"f16261e8-bc48-4985-a06e-a832d8addd6d","year":2016},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:3340b18e7b833bfbb6dc4c9510582f9a978c27dc810f774583014bda631584a5","observation_id":"6c6983fb-be5f-4633-9244-0698eb258b46","resolution":{"observed_at":"2026-07-10T08:26:59.497637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.553100Z","title":null,"venue":null,"work_id":"2664cb5f-9306-4905-b73d-99dbeca40f2b","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:a10971175904453c272b0184c767378010d0c56125404520fab7e1a380d71f67","observation_id":"0088c6cc-c544-44d7-9e2d-e07bcc440bca","resolution":{"observed_at":"2026-07-10T08:26:59.554159Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.544639Z","title":null,"venue":null,"work_id":"08b83254-41b7-484a-acb4-2ad173b28c27","year":1993},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:ac86f7a6db97657e2dc132919f58d880d1ee0f6eacd92f95c48be90d791de1b8","observation_id":"57db31d3-90fc-45c8-a53b-c6142451c08f","resolution":{"observed_at":"2026-07-10T08:26:59.545690Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.542944Z","title":", title =","venue":null,"work_id":"7b4ae1fb-4134-4869-9458-07d64681ec76","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:e2963bf3c466ae4aad8bc1e210c7d73aa7f7d19c36886ad231921fbd5129c6ae","observation_id":"9354146d-93b5-4bb5-b8e5-981de3c915a3","resolution":{"observed_at":"2026-07-10T08:26:59.543987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.539606Z","title":"and Shen, W","venue":null,"work_id":"52650117-d415-43f1-be21-b7f7375a0130","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:feab637e118f0fc70d1d98489544c31bdbccf02851416f8edcb791e9577dfe01","observation_id":"672cac18-781a-425d-8c39-40b80ce7f8eb","resolution":{"observed_at":"2026-07-10T08:26:59.540773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.535723Z","title":null,"venue":null,"work_id":"af902342-1610-42cd-b6a4-49f58331bbc6","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:51d18a382b20b86f291e1eb654521aae82fa5f96d236997f3379fe4312934f58","observation_id":"3548f91f-398e-4d43-9d7d-f29d192ca40c","resolution":{"observed_at":"2026-07-10T08:26:59.536843Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.534229Z","title":"and Xie, J","venue":null,"work_id":"a6a7504f-93ad-49cb-a6a2-ba60b915b6af","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:6207ecf0fd507c941740f67fd180ed22bfff4e79799fec9016276dbf872eda8f","observation_id":"2433ab0a-7601-472e-8c08-d74e2677a1c9","resolution":{"observed_at":"2026-07-10T08:26:59.535208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.537896Z","title":"and Hoff, P","venue":null,"work_id":"7f0938e1-fe60-4194-b31b-3762da776882","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:47c660e83c9abf8d3d5e5856ff4d414bd40d1d62d98adc7792abf0a22d185d0a","observation_id":"4d526055-15d7-41f2-84f1-c5d703950fd1","resolution":{"observed_at":"2026-07-10T08:26:59.539055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.541324Z","title":"and Klein, D","venue":null,"work_id":"563f0731-79ee-4bed-8f47-486d408b2e37","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:dd74c94c0fcc304870fb89629e89f481fe933530365a396b3a5a64bc4280e1e6","observation_id":"199e748b-e7c0-4a85-86ee-0fe1c774383f","resolution":{"observed_at":"2026-07-10T08:26:59.542421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.549708Z","title":"and Zhou, S","venue":null,"work_id":"2d6c6353-c876-4f23-9c5b-ff1c60405686","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:9d6f2051fe7319d10ed1cd2be766b31efa0b11beb22a7fd3125298d1f29e9ca1","observation_id":"da3d5bf2-b293-4020-8b9d-bda1d5fb155c","resolution":{"observed_at":"2026-07-10T08:26:59.550951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.528208Z","title":"and Chen, K","venue":null,"work_id":"7bd842cd-398d-44c8-98f1-f478d71dee0d","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:6977d1abc58deaf59fb5bfe31e03b9cb46fa30da82225b4416fc95f56ba84f95","observation_id":"67fa20e8-38b8-40e8-84be-ab3a54e2b711","resolution":{"observed_at":"2026-07-10T08:26:59.529221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.526743Z","title":null,"venue":null,"work_id":"ab175a15-74cd-48f8-81b3-a9d5a7964a95","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:c0d01654388db4e12aed50bbda258bf017cc3d760489e688ac4d8cb799ea47f9","observation_id":"7f10456f-91f4-4fa6-8f31-7c04ab3a192e","resolution":{"observed_at":"2026-07-10T08:26:59.527713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.529747Z","title":"and Jiang, D","venue":null,"work_id":"519e625e-f80d-4d5c-910d-4e264aa6a7ff","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:6ec9c0168f779d08815e2d5cf7990b7d16b94ed8be162ef17eafcba52cdd22ff","observation_id":"4db53a1d-6b3b-46f9-bc1c-61935d6526b0","resolution":{"observed_at":"2026-07-10T08:26:59.530733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.531242Z","title":null,"venue":null,"work_id":"d8da616e-be2b-4874-8ad6-e550de55c51a","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:a6b35b8952a2def8bbc75fb8fae1b56552d4b062b0ae066491a2ad951ed89a36","observation_id":"d8479046-b06b-4535-9eef-89caacec9da4","resolution":{"observed_at":"2026-07-10T08:26:59.532222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.551503Z","title":null,"venue":null,"work_id":"caa948a1-52b1-4db1-9abb-86afb3eeea51","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:0b9dde524e39d0536a538ddd76f39afe05da61db763933fff95a6075dc07ef08","observation_id":"e7de78d8-877d-4df8-a7cb-2d9c115045b8","resolution":{"observed_at":"2026-07-10T08:26:59.552576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.525241Z","title":null,"venue":null,"work_id":"d431e7ed-5998-40d6-a896-dd88ad1a73be","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:c8b72fd07fd8622aeee1b6bee236b84e3de011130c1d94ca93466e1c88639ab9","observation_id":"7820ee7c-3a63-44a0-b19c-1444f5c9a164","resolution":{"observed_at":"2026-07-10T08:26:59.526238Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.554715Z","title":"1999 , publisher=","venue":null,"work_id":"0b3dba7d-31e1-4ebb-a308-3d28a20f4393","year":1999},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:fc4e6d4ebec689b8ce11f2ac44b1776d1179c8bb7cc3e8c28980a3c7d53d05ef","observation_id":"c7aee97f-3121-452e-a8fc-a0075b18acf9","resolution":{"observed_at":"2026-07-10T08:26:59.555788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.498200Z","title":"Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=","venue":null,"work_id":"ab06a20f-a96d-4f8b-b89d-44bbfab42957","year":2018},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:1eec2ffeb7f950dcc6d5c60c98146e137e0bf0ee0e2f094029a00e7f2f966b14","observation_id":"53aa4c4c-5b8c-4c66-b69b-d248d2c08969","resolution":{"observed_at":"2026-07-10T08:26:59.499355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.501656Z","title":"The Annals of Statistics , number =","venue":null,"work_id":"a8a4c34c-c2d2-4d97-bbb9-7cdcd7e1ac00","year":2014},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:f24b8a3dbc46af46610ca2c59b67fff9187a6dce3eecb8c99b766fa4f1dcb6f6","observation_id":"614f3ebb-71cf-4fdd-8ebc-bf52357bbd87","resolution":{"observed_at":"2026-07-10T08:26:59.502760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.485061Z","title":"Journal of the American Statistical Association , volume=","venue":null,"work_id":"2a7fd9a1-3962-459b-8856-3cdaeb92ebd9","year":2015},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:e8310cb97428ee36d2e8f307c1835123ad453bd8db752edcff8843e0fd61f67c","observation_id":"877cd942-67d9-4855-9d37-eee7718e2d16","resolution":{"observed_at":"2026-07-10T08:26:59.486178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.490234Z","title":"The annals of applied statistics , volume=","venue":null,"work_id":"7ad2cd51-9390-48ab-ab0f-41f4146a037a","year":null},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:459c56e2d67325ec1cc8f294fbb59c79328dab0c372246ee5c9e0514aafe6698","observation_id":"16b79833-7842-449a-bfd4-4fd1057e49ff","resolution":{"observed_at":"2026-07-10T08:26:59.491264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.476848Z","title":"Statistica Sinica , pages=","venue":null,"work_id":"83df090b-c310-44e3-b3b8-721a4154d5b8","year":2014},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:4f7c7b0c551311a79ce0bbae6f5ce896788dd4f905ffa51e59a61334bbdaca7b","observation_id":"9de6ab45-88e2-426a-a8ee-33e54b04af6c","resolution":{"observed_at":"2026-07-10T08:26:59.477893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.481759Z","title":"Journal of the Royal Statistical Society Series C: Applied Statistics , volume=","venue":null,"work_id":"1bd7f149-9688-45c8-a219-0f730e059d88","year":2018},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:8671cf313b5b34b63e2ab2f0bb04743884915639b0788bd7e0a5683b556b7bbe","observation_id":"969bb48c-64e9-4aa8-9ee8-7f2a69e3788a","resolution":{"observed_at":"2026-07-10T08:26:59.482903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-07-10T08:26:59.486770Z","title":"Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=","venue":null,"work_id":"602a91e7-2f7e-47ed-9d12-ae6419f39247","year":2023},"citing_paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-10T08:16:58.503519Z"},"links":{"citing_paper":"/paper/2607.08388"},"observation_digest":"sha256:f6bd5e0b7278b50991146a8135ff5d3f870cc0020c02764674e8f70f954dc9f7","observation_id":"43a7c0d4-0021-4394-9db3-ff57d9870641","resolution":{"observed_at":"2026-07-10T08:26:59.487959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.08388","last_updated":"2026-07-09T12:11:37Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-11T07:40:52.531314Z","submitted_at":"2026-07-09T12:11:37Z","title":"Testing Covariance Separability in High Dimensions"},"reference_resolution":{"displayed":71,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":18,"verified_exact":4,"verified_fuzzy":48},"total_outbound_references":71},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2607.08388."}