{"as_of":"2026-08-15T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b747b5a3d7423297d2f07b8bae850b1f493abfc84e9378b09aedd3b1e193e5d8","coverage":[{"denominator":94,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":94,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:44:18.051824Z","state":"measured"},{"denominator":94,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":94,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.06600/citation-record","integrity":"/paper/1908.06600/integrity","json":"/paper/1908.06600/citation-record.json","paper":"/paper/1908.06600"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.617127Z","title":"Achlioptas","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.617127Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:2ecc2720fb50f70733142305cb46519d47712c97b751f68d53e07f4ef7cdbac4","observation_id":"42d7f35c-373a-48cb-83d2-810e068017c0","resolution":{"observed_at":"2026-08-14T12:44:17.617127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/s0370164600014413","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.611207Z","title":null,"venue":null,"work_id":"ad919f65-ec11-40f2-93a4-75896f021990","year":1936},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.623039Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:6093cba84ed4e420899df7d94e2012bc617742aedff7611da159db9ee320b203","observation_id":"4aedeebe-72ac-4265-a5dd-9ca1400f8b47","resolution":{"observed_at":"2026-08-14T12:44:18.615862Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2346943","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.147066Z","title":null,"venue":null,"work_id":"ca6a44bf-1c9e-4ba6-97ec-7591d0ceff38","year":1978},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.628247Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:4967593bd3011670fc412d110315cbf1a9e4d62665a00c87a509b944f57383d7","observation_id":"1a111826-eae5-41cd-a935-d75cb9f392ec","resolution":{"observed_at":"2026-08-14T12:44:20.158461Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.632930Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.632930Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:7b41eca7a23e2a3978d8704a62fa07aaf0b06d888f0db5587508a96273f7d36c","observation_id":"922f8b60-a462-4b92-968e-24bdb89f18e2","resolution":{"observed_at":"2026-08-14T12:44:17.632930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bib/bbv089","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.596066Z","title":null,"venue":null,"work_id":"a9f9c266-44ba-4480-80c4-dfc50177f920","year":2015},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.637638Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b00eb5061efaa95f503d0d10b9b2dd9910fb9369226094a209c03794543471d7","observation_id":"f35be277-a2b1-40e9-8814-102297b09ac4","resolution":{"observed_at":"2026-08-14T12:44:18.600842Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jmva.2016.09.012","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.580671Z","title":null,"venue":null,"work_id":"ff959b91-4ae0-4bb1-9aad-f5d53e9dee04","year":2017},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.642628Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:13c9cbcc51cc4bcca8953306ee6f8cd356f85019c6db2303519cdb0a427aab1f","observation_id":"c91cd6f0-1161-4886-9393-ecec3d6a150f","resolution":{"observed_at":"2026-08-14T12:44:18.585661Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.647963Z","title":"Bai and H","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.647963Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:27f8215882a7925b2b51a88492d860189f4c79b5a2e4e70e408fdae722d97778","observation_id":"9b2c65c1-c788-4cca-b095-ac071697e62e","resolution":{"observed_at":"2026-08-14T12:44:17.647963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/09-aos694","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.566188Z","title":null,"venue":null,"work_id":"b1b557c8-51f6-4c33-a189-fe5d72996b96","year":2009},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.652793Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:d918c4e7201169fb2581634f35727e98a137f8efab795a96aa131db537cba657","observation_id":"8250575b-0273-465b-a4a3-948acd791afb","resolution":{"observed_at":"2026-08-14T12:44:18.570753Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.658451Z","title":"Balakrishnan and L","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.658451Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:c84bff39e3c593d8ca987644c4d50a9875ab81a27bf9ac9b13c22bae6153ba15","observation_id":"c13418d3-a4c7-41b5-aa7d-e90ead2aefe6","resolution":{"observed_at":"2026-08-14T12:44:17.658451Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/0167-7152(94)90219-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.551911Z","title":null,"venue":null,"work_id":"1be2ed89-c26d-414b-827f-5b96eaa96432","year":1994},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.663082Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b0ee43a45a5c96d0c5b4e7359d507db523d207e4c83550b78a77f1810f9c6141","observation_id":"8943bee5-de6b-4b4a-aced-02470e06c850","resolution":{"observed_at":"2026-08-14T12:44:18.556677Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.667865Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.667865Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:90601d1c3713735fc4c3e631a7a40d26be1a7a57cf17dd44bf35ec7daea4f196","observation_id":"52d2f3de-cf26-406c-b853-c0ee8d2e4660","resolution":{"observed_at":"2026-08-14T12:44:17.667865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.672532Z","title":"Bien and R","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.672532Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:9cfde89f6695cda761c99ff25fdadfa29eb6761651976fa0c461877ebae61b3f","observation_id":"44c3ce9d-bee5-4b9f-9d05-d090b45957db","resolution":{"observed_at":"2026-08-14T12:44:17.672532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.681541Z","title":"Bingham and H","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.681541Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:7ceffb6d1f0a20a5407fd740d6b0b071c299726eaa8bfd5a5e68c40cdf1b6063","observation_id":"81b64814-c82a-4421-92a3-836965d137d1","resolution":{"observed_at":"2026-08-14T12:44:17.681541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0167-7152(02)00323-1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.518485Z","title":"Biswas and J","venue":null,"work_id":"f6a905c8-cbbd-42a0-80aa-44d2509f48bb","year":2002},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.685838Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:938be2a4ec1220acb8f4b726c8de672b131b1c52f9b9daa0d04c7725216cddd2","observation_id":"f1beb2f6-7d12-4bb6-b327-597664417b23","resolution":{"observed_at":"2026-08-14T12:44:18.523185Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.690458Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.690458Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:6ff9c2ceffef77f940e5845e1225e31e0fa58d66ed54cf8912e84b557050805e","observation_id":"843909ee-8c6d-463e-9c3f-5a6b60df7006","resolution":{"observed_at":"2026-08-14T12:44:17.690458Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.694956Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.694956Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:147c36b368dc6c39680caf69fcc9958094aea2f9864618885c92511d7066909f","observation_id":"8ac5971e-d044-41f6-9036-43ae3cbd5a9b","resolution":{"observed_at":"2026-08-14T12:44:17.694956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.699609Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.699609Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:9aee4f783bd236d5ad1ab12b4c476ad3e4ac5c3e1869120a5d2acbfa8cf4be67","observation_id":"13e30ae3-a42f-486a-a048-a567b065081b","resolution":{"observed_at":"2026-08-14T12:44:17.699609Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.704377Z","title":"Liu, and Y","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.704377Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:e73df942a5ca7ce374958a77b289814d07daf3a9b0149c731300782ead1c209a","observation_id":"2026f929-94a2-4c18-8c02-37ee0cd47161","resolution":{"observed_at":"2026-08-14T12:44:17.704377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.708998Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.708998Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:684cde68b96edac4d703d2ee4d5027b6da107a4f5c8e6cfb8217fff0e1f682b0","observation_id":"2395bf9d-491f-4ecc-8dcb-f6389e1b88d3","resolution":{"observed_at":"2026-08-14T12:44:17.708998Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.713325Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.713325Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:850923e59e3fdd02f26db73c772afd9bc3330dbcfead23dc992fab603a0f6bcc","observation_id":"77d201d8-453b-457f-999c-815d3103dd55","resolution":{"observed_at":"2026-08-14T12:44:17.713325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/12-aoas592","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.476285Z","title":"Chen and H","venue":null,"work_id":"be0e22f8-5bbb-48c5-bf85-195cea403d32","year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.718005Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:6269668deac8dad8110db86e653f8ae9a740d0e3401965800b23103f28d98798","observation_id":"dcc56a4a-7a2e-4089-bb5b-b92bdc93f320","resolution":{"observed_at":"2026-08-14T12:44:18.480831Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.723120Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.723120Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:25cbc614fc2001b536d96446dd12c80063f693300af431035809923347cb5bb0","observation_id":"ac38aeb4-cc41-4285-b022-6aa5974b66c6","resolution":{"observed_at":"2026-08-14T12:44:17.723120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09344","last_updated":"2019-04-19T21:05:58Z","snapshot_observed_at":"2026-08-14T16:43:50.845080Z","submitted_at":"2019-04-19T21:05:58Z","title":"Note on Mean Vector Testing for High-Dimensional Dependent Observations","version":1},"cited_work":{"arxiv_id":"1904.09344","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.09344","snapshot_observed_at":"2026-08-14T12:44:20.012277Z","title":"Note on Mean Vector Testing for High-Dimensional Dependent Observations","venue":"math.ST","work_id":"cfda93fe-4dda-4cda-b9b2-f3eced5899a1","year":2019},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.727663Z"},"links":{"cited_paper":"/paper/1904.09344","citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:854c219920d54d304dd6efea4aa6023eb2bc24dec5086dda8831611e308befb9","observation_id":"d98516f3-bd4d-4bdf-a197-aa63d692ed90","resolution":{"observed_at":"2026-08-14T12:44:20.017830Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.732632Z","title":null,"venue":null,"work_id":null,"year":1958},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.732632Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:d59f051f11c39cdf19ab08c7097b734575c50d5ac46088216e2831522e7354f4","observation_id":"69d1ef24-0872-4701-ba95-11b95739ae4b","resolution":{"observed_at":"2026-08-14T12:44:17.732632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.737000Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.737000Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:378a33a6dc47a4a8f9cfc21e47b183ae54af613b64c1dfdf336020a9d86a7b5a","observation_id":"7651629e-7c59-4970-9011-31a2fc8be23e","resolution":{"observed_at":"2026-08-14T12:44:17.737000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.742107Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.742107Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:24eb41973124397c13e353a905d8bbdae96574c71744c7bda4bb4b28bd47a6ae","observation_id":"6277367c-b073-4333-adfe-542c34b5b597","resolution":{"observed_at":"2026-08-14T12:44:17.742107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/rssb.12033","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.442368Z","title":"Danaher, P","venue":null,"work_id":"e7fc7a2f-7baf-4b7f-ae74-630db18a510c","year":2014},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.751504Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:ddfbd419ad86672d4ae7a9db31b0be67dd7e019bc9ec8e483006d6ccbfed750a","observation_id":"f29c0718-3922-4199-9f3d-09b00f5bbe6f","resolution":{"observed_at":"2026-08-14T12:44:18.446852Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/03610928808829713","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.427684Z","title":null,"venue":null,"work_id":"0a19ed06-10c4-46ad-a0dd-dfdc0a291b57","year":1988},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.756360Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:8b0411224a3271087f8172994d1e1f1a75422a884140f9c3ecc74d4afbb2b7e9","observation_id":"65a8ad77-b9e6-4d46-97fa-1fb0aacd9409","resolution":{"observed_at":"2026-08-14T12:44:18.432538Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.01173","last_updated":"2020-09-20T09:56:53Z","snapshot_observed_at":"2026-07-06T08:48:31.080407Z","submitted_at":"2020-01-05T05:48:02Z","title":"Informative Sample Mining Network for Multi-Domain Image-to-Image Translation","version":4},"cited_work":{"arxiv_id":"2001.01173","doi":null,"metadata_source":"pith","pith_arxiv_id":"2001.01173","snapshot_observed_at":"2026-08-14T12:44:19.991127Z","title":"Informative Sample Mining Network for Multi-Domain Image-to-Image Translation","venue":"cs.CV","work_id":"a0773af8-71e4-4d59-9e9d-8d676d891b06","year":2020},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.760831Z"},"links":{"cited_paper":"/paper/2001.01173","citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:cdf03de66732dc941304fc1d59431291821a8c5169306f380ad63f9613ee5f89","observation_id":"22c9f476-a068-41e0-82b6-33aa3f965adb","resolution":{"observed_at":"2026-08-14T12:44:19.996263Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.765814Z","title":null,"venue":null,"work_id":null,"year":1958},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.765814Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:7310ddaa30fe920955988abac91cde08a43130b0159f2170625e5ed2d7e03921","observation_id":"506f480d-1daa-474c-83f1-aa538e9d4a63","resolution":{"observed_at":"2026-08-14T12:44:17.765814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.770576Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.770576Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:ff5adfce1abe6a6ab34e3f38ac7b1b1ca1f43323be2b3d3a9e26fab8aedbf223","observation_id":"438630ce-3799-4df6-908b-d6cc64af8e91","resolution":{"observed_at":"2026-08-14T12:44:17.770576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6750.95681","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.901311Z","title":"Fradkin and D","venue":null,"work_id":"a101da94-5a8a-4061-a92e-4a3be2496819","year":2003},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.780747Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:f7e95d7f0e10c7a0f140ea64f69327dbd6f66a35bad6ec42b625f150a37d4e30","observation_id":"dc83594d-3416-4ef9-af5d-b5e80adad68e","resolution":{"observed_at":"2026-08-14T12:44:19.908715Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.785182Z","title":"Friedman, T","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.785182Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:472dab95b47a253f784851a234e84e6b948ec5b989147b5e27b06a30f32e8648","observation_id":"0707e17d-2c00-4f7f-bc91-27361e6a8fa0","resolution":{"observed_at":"2026-08-14T12:44:17.785182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.789689Z","title":"Goodfellow, Y","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.789689Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:6eb0b58ad797ade58973a70a79d82305295edc082b5b4caefc381ff08826c805","observation_id":"fee683b8-2bbf-4bc0-a608-b0eb5a5d2e08","resolution":{"observed_at":"2026-08-14T12:44:17.789689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.793997Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.793997Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:213fbf19ec9dc04221c020e1b638268d5851d0c964c1f0c04bc2f4b134393b55","observation_id":"a6f1ea3f-7879-4f7c-90f6-9e61518f24f1","resolution":{"observed_at":"2026-08-14T12:44:17.793997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/biomet/asq060","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.394105Z","title":null,"venue":null,"work_id":"2d455f39-396f-4a04-b9fa-57c5fc9761f7","year":2011},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.798979Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:1fb1e0359f4e2216642e2a2227a15390f92a6ed305d30943ad371c11db7dd2f3","observation_id":"81d030d0-d13d-4a6f-aa6d-01fee2b45e2d","resolution":{"observed_at":"2026-08-14T12:44:18.398585Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.803182Z","title":null,"venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.803182Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:4000111e732e4d1b751e50749ecd1dbb67d4cbbeb68383e6dba5dd2e48c804ed","observation_id":"f266df8b-085d-439b-af0a-7cf2144beff5","resolution":{"observed_at":"2026-08-14T12:44:17.803182Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2238145","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.754883Z","title":"Hoeffding","venue":null,"work_id":"7e1bd7d2-cb55-4f3a-87df-3476bb0a2a95","year":1965},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.807496Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:23302040c44668d574e7a981abc3a9a2c8f06698d3a429e34439847971dc06f6","observation_id":"0875031c-19da-42bd-9466-291a87602529","resolution":{"observed_at":"2026-08-14T12:44:19.762441Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.811531Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.811531Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:9e8555e40775689e9690a25a4069346d025a827972a38be4fc78a236abb8d408","observation_id":"b703207e-6b5d-4a75-bded-f48c93326880","resolution":{"observed_at":"2026-08-14T12:44:17.811531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.816054Z","title":"Holmes, K","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.816054Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:a426d9f97d6a41d62614b627425abadd485fb093d4e4e55cd29a8993dbd52c38","observation_id":"42594e56-5c6b-43ce-b619-70cc19434d44","resolution":{"observed_at":"2026-08-14T12:44:17.816054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.820866Z","title":"Hotelling","venue":null,"work_id":null,"year":1931},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.820866Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:d07a083112182c6b2c2653dd06da49c3c8a6e1aacf68ee6fa0ca42f4e2efecd7","observation_id":"34322065-07ff-4a87-ba8a-440bd5f7d15d","resolution":{"observed_at":"2026-08-14T12:44:17.820866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/0047-259x(86","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.369658Z","title":null,"venue":null,"work_id":"d34aa014-bad8-4423-9bac-ea8cce95f9bc","year":1986},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.825535Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:4e2323dfd9bc2089af2739bf3f0f79cafb5f73112de5f92763b1d9e10206c4a3","observation_id":"411316c0-acba-42c6-a198-335e9607e2cf","resolution":{"observed_at":"2026-08-14T12:44:18.374269Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/wics.1398.a","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.354485Z","title":"Inouye, E","venue":null,"work_id":"308b612b-47d8-4c85-9e23-30f3929f5684","year":2017},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.830489Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:85c98e59527a7c74bdb5afb22a9093687ec2dcffa6e6d9cdb71685503151d329","observation_id":"f75df530-1e0e-4189-9901-4f9075efc9ea","resolution":{"observed_at":"2026-08-14T12:44:18.359463Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/biostatistics/5.2.291","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.340139Z","title":null,"venue":null,"work_id":"40582794-65ef-43b2-b4e2-86f857f87405","year":2004},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.835233Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:9cd29fa1c22898a34e333524d784df7d1df63350639c11bed75f5ff3dfccc0be","observation_id":"69d773ce-5695-4871-aa4c-2cc61f40b9bf","resolution":{"observed_at":"2026-08-14T12:44:18.344848Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jspi.2012.02.057","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.325617Z","title":"Jiang, T","venue":null,"work_id":"17d5870d-a55d-486f-bbb5-b11b338b77ee","year":2012},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.839753Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:1791b657cc2cf8c1575b1cea770a019207f29df60d705440d0e18c98ebd5c4f3","observation_id":"8069b20f-9204-45fb-9c8f-dde15ded5929","resolution":{"observed_at":"2026-08-14T12:44:18.330248Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.844922Z","title":null,"venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.844922Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:720abb542f1e91a20c31e686618d15757e7f7ec938ba7898eb05c73d4b112cb9","observation_id":"0f71c0a6-b327-4d95-8ef9-2088ed1c1ade","resolution":{"observed_at":"2026-08-14T12:44:17.844922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.352089Z","title":"Karlis and E","venue":null,"work_id":"53d8649b-9a07-4373-a8f0-ede8a7db5454","year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.849619Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:164bafe10c0c0867eae186670f2a233c3166f34c79798c8e8d6cf55e6103047a","observation_id":"6839a039-65b8-44d1-9529-f2b94b8f1714","resolution":{"observed_at":"2026-08-14T12:44:20.357229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.336828Z","title":null,"venue":null,"work_id":"c20651df-011e-408a-94aa-312b8c102f9a","year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.859174Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:65edbec033cd2a7aa625a4f81d55a9c66608abdf01f03472999168aba0fba1ea","observation_id":"02731ccb-c33d-402f-8901-35331ebe5af5","resolution":{"observed_at":"2026-08-14T12:44:20.341801Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2333909","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.477132Z","title":null,"venue":null,"work_id":"5dda66d8-9a22-4c05-8341-7f2661a26041","year":1963},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.867924Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:17d9692d369e1b200b271726a41155be880da151d932d65b7a4e92f2c359eaa9","observation_id":"8bbe722c-5094-4674-a860-962219f42d9b","resolution":{"observed_at":"2026-08-14T12:44:19.484662Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.315510Z","title":"Ledoit and M","venue":null,"work_id":"2482fcaa-f24c-4f01-a5bf-58399620c296","year":2002},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.872362Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:f241c6f6036ec5ea005f72665b6e3b809ac8fb908dd80839058e5e4a25ffa1d4","observation_id":"93d414ac-02c4-478e-808a-3d5b9bc0fcbe","resolution":{"observed_at":"2026-08-14T12:44:20.320548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.299823Z","title":null,"venue":null,"work_id":"5ed8166d-ccf0-4558-9e8c-dc214790158c","year":1977},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.876638Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:7c818be375d4bb71040092fd0da525bbf9be53daf53167724045ec051608bfdc","observation_id":"126b7911-88d1-4387-b6e5-bcefc8770b12","resolution":{"observed_at":"2026-08-14T12:44:20.304811Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2240628","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.407126Z","title":null,"venue":null,"work_id":"23cd28d4-f1ba-405a-9c4a-ac1cb3e1dcc0","year":1981},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.881059Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:3078b9a9667bd859d917bdb0aa6b9cce16bd2a0e4a328ce698b4a8e17f433acd","observation_id":"54e7bdab-eecd-48de-8012-26b4f107404f","resolution":{"observed_at":"2026-08-14T12:44:19.414201Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.885326Z","title":"Li and S","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.885326Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:0f563a8ab6c9d667b700bf159b7285813a3c1cb18fff93e03ae3708b20598bce","observation_id":"0c3807d9-03f7-4a5f-a420-371dedd80056","resolution":{"observed_at":"2026-08-14T12:44:17.885326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.283911Z","title":null,"venue":null,"work_id":"e5de017f-981b-41b6-9937-ab78f30edd15","year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.890344Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:33fbe13e785f25d83784c78029947acab1e8c604977a2b93feb6c4926124f636","observation_id":"32939961-ca7c-4db3-8ae7-333b649f295f","resolution":{"observed_at":"2026-08-14T12:44:20.289061Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.266945Z","title":null,"venue":null,"work_id":"6fe22e9f-f5d3-4611-af72-3ca906330d33","year":2015},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.899200Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:5d7c858a48769890edd2f5f006d0a1bd1ed9c89f9b5903317081c7c18adc10ae","observation_id":"fb47a367-10c4-4b9a-aeed-e963b9c785bf","resolution":{"observed_at":"2026-08-14T12:44:20.272671Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pcbi.1003531","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.291500Z","title":null,"venue":null,"work_id":"c07a2eac-9f63-4848-a95b-312edf5068ac","year":2014},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.903415Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b7ab7ffc7b7b5d4eb8c0a7dc5928f4d421155f8df97495a67f0e40e7c33d1fd4","observation_id":"09265b95-c406-4968-b842-69080a987834","resolution":{"observed_at":"2026-08-14T12:44:18.296653Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2690437","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.274533Z","title":null,"venue":null,"work_id":"b6aa670d-d6e3-4889-a89a-7cbd516de901","year":1981},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.907788Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:1c3ddf9c963093b7633c1ad062f2e7a1cf9a53c6dd483c01e7e9e52a2c896e5b","observation_id":"5908edf7-03aa-4095-bbfb-65c20563a04a","resolution":{"observed_at":"2026-08-14T12:44:19.281718Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1206.6425","last_updated":"2012-06-27T19:59:59Z","snapshot_observed_at":"2026-08-15T00:55:11.510049Z","submitted_at":"2012-06-27T19:59:59Z","title":"Sparse Stochastic Inference for Latent Dirichlet allocation","version":1},"cited_work":{"arxiv_id":"1206.6425","doi":null,"metadata_source":"pith","pith_arxiv_id":"1206.6425","snapshot_observed_at":"2026-08-14T12:44:19.202618Z","title":"Sparse Stochastic Inference for Latent Dirichlet allocation","venue":"cs.LG","work_id":"ce6e9c4f-f76f-4064-819d-d38f350c5eb2","year":2012},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.912241Z"},"links":{"cited_paper":"/paper/1206.6425","citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:3fd8c34acd8ddfe0f1c87eec732f75364ced58aad6c12e50c8e18aa025ac6cf8","observation_id":"a5b7fd84-b1a6-45bf-9ac6-524f5e5a8dfa","resolution":{"observed_at":"2026-08-14T12:44:19.208189Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2958086","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.180208Z","title":null,"venue":null,"work_id":"9a121e7f-1441-4c90-a2c5-a4587ad723a9","year":1975},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.916985Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:c2c16cf8c0a38a5aab3157e1593ad37167c7a5cdea11638f79beba86b2c0b3df","observation_id":"56d35d32-2305-4ed5-89cb-c75b34a75c61","resolution":{"observed_at":"2026-08-14T12:44:19.187296Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.251163Z","title":null,"venue":null,"work_id":"a14fd00f-a141-4ec1-851f-f9dd90a74c92","year":1982},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.921522Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:408218588c17e2cbfb1cc9fd1cb41a2e645bbcff910669e48664468c93a8a77a","observation_id":"3df8e9eb-5d5c-49ca-9cd6-01b3ec558e47","resolution":{"observed_at":"2026-08-14T12:44:20.256065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.234380Z","title":null,"venue":null,"work_id":"0b9071c4-faad-4be5-9228-d7413dc6ea95","year":1973},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.926211Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:fd78b5f180cb9ac45f9ad81e33be72fa5cf20c1073adba25ba7f30840d3d1d7b","observation_id":"063239b1-1877-4b21-9198-207236f5671d","resolution":{"observed_at":"2026-08-14T12:44:20.239855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.217345Z","title":null,"venue":null,"work_id":"b32fc249-f244-4036-ac55-3e2e1b734f9f","year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.930988Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:564c9a34ad259a5a966ba7583657601554454b2840cba297b71c60e809aea355","observation_id":"5d92c511-4524-440d-a119-1be7b93db125","resolution":{"observed_at":"2026-08-14T12:44:20.222477Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jspi.2012.11.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.274982Z","title":"Park and D","venue":null,"work_id":"fa75363e-d25e-4884-8c13-328575561f2a","year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.944372Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:089b9188f73b439c46588ea574039ea8493f71994881f9189119356937eadcec","observation_id":"a3bfeb4d-9efc-4277-9357-22c9242bf60b","resolution":{"observed_at":"2026-08-14T12:44:18.279823Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11749-018-0600-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.259969Z","title":"Plunkett and J","venue":null,"work_id":"458e3940-b72e-4559-9aaf-3b346abcdff2","year":2018},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.948998Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:8697c016f73a436a604953468397287f36a23019e4e1fc3e1d8a13cfa546e036","observation_id":"c20163cb-b759-47fc-b80e-0b953acd8c68","resolution":{"observed_at":"2026-08-14T12:44:18.264861Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.202745Z","title":null,"venue":null,"work_id":"d83327f8-5357-4a46-b1b2-1dd2c5c237bd","year":1952},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.953447Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b708eeedfb9fe8c8d2b8341f87a9e290c71f3c6a9da288b1ceab0df7d2b37357","observation_id":"da9a1d78-5275-47f1-b339-e7a5b6b2911f","resolution":{"observed_at":"2026-08-14T12:44:20.207413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2504834","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.087083Z","title":null,"venue":null,"work_id":"457fa897-6c9c-4728-97f5-69267e7b85ee","year":1933},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.957680Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:f70ab639846a6720bf352bfbc7d924f6bc8924c9e9222a1eef9cd839cc6b283a","observation_id":"0209bcef-d299-452b-a1a0-d000aee5017e","resolution":{"observed_at":"2026-08-14T12:44:19.094277Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/00949658908811178","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.244468Z","title":null,"venue":null,"work_id":"43b87ee1-f5d5-4b7c-8039-10260ff39614","year":1989},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.962242Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:c82cd6e903a24f363a46032235b04a1e7bc2e9f4419c2715b13c102f3570d21d","observation_id":"7591c09c-3dc7-44ba-970a-1317350cdb65","resolution":{"observed_at":"2026-08-14T12:44:18.249941Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jmva.2006.11","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.229311Z","title":"S., Srivastava and M","venue":null,"work_id":"b289afb4-8d5d-4ae0-b517-1d3d2e31900b","year":2008},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.966625Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:90edecab4d7f9f2d21f7cea0716fa1f4ebb3f061f26469ff4c31991a378bfde5","observation_id":"3636f729-8710-4a28-b096-aca5d104f60d","resolution":{"observed_at":"2026-08-14T12:44:18.234193Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.csda.2007.03.004","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.214324Z","title":null,"venue":null,"work_id":"8449d7a7-e7e4-471d-9f05-ee139f0d5ed6","year":2007},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.975397Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b617acee4262a2dc9fa8e4f28ea1e19162169192dde480bba95e833b2bc3f10c","observation_id":"4da12a35-1d77-453a-956a-622cf2d92b98","resolution":{"observed_at":"2026-08-14T12:44:18.219118Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1090.0332","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.011905Z","title":"Shin and R","venue":null,"work_id":"cb7952b7-da8c-484d-82f0-c25e52e913a4","year":2010},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.979668Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:346054ae6a110cb9b2fb00c7de8a5671b5cf03eb46088fd851453671c858aa36","observation_id":"6a937f97-369c-4fda-a072-9aaa687c25d1","resolution":{"observed_at":"2026-08-14T12:44:19.020027Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.0099","last_updated":"2023-05-26T18:25:51Z","snapshot_observed_at":"2026-08-14T23:35:36.520331Z","submitted_at":"2014-05-01T05:27:51Z","title":"Fast MLE Computation for the Dirichlet Multinomial","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.0099","snapshot_observed_at":"2026-08-14T12:44:17.984207Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.984207Z"},"links":{"cited_paper":"/paper/1405.0099","citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:05975a1a48b7895a804f80e4650cb5c397ca909d77ff78910b06645d69cca279","observation_id":"9c2d2bce-4dd6-4978-954b-7d56c94cbb0a","resolution":{"observed_at":"2026-08-14T12:44:17.984207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.988998Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.988998Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:343fb8b31da334949f85ebe66c45993375232c008720bb8992c82b2b97d6bcf9","observation_id":"898e9446-6eda-43cc-99ab-6336bb190ca0","resolution":{"observed_at":"2026-08-14T12:44:17.988998Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.14490/jjss.35.251","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.190452Z","title":null,"venue":null,"work_id":"0c17339e-eb28-496d-b2ed-97dc7a04ae39","year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.993137Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b9185f931d371042d5ac42a353c1ae681a7716e38bce76c23672f52fd3cd54d6","observation_id":"73f6f29f-38b7-4bb5-89b3-c5c36d997724","resolution":{"observed_at":"2026-08-14T12:44:18.195083Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jmva.2009.12.010","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.174620Z","title":null,"venue":null,"work_id":"8954be63-06b0-49f0-be5d-8b49b2d05e33","year":2010},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.997870Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:38d9cc98a51634ea159f08c89f60d018d7ab2833c2e982bbeb0d824747f2f86d","observation_id":"2db95f44-2dbd-47ea-9d21-a76c515dde10","resolution":{"observed_at":"2026-08-14T12:44:18.179540Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.002197Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.002197Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:6eec865fa0ee1d27142e73d24121e5fa81e830bfc7ea2b7872ea8abbdc21f7a6","observation_id":"ae13ab02-56b8-48f8-9056-c025a3880495","resolution":{"observed_at":"2026-08-14T12:44:18.002197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.186435Z","title":null,"venue":null,"work_id":"a4285bbf-5312-44d5-aa54-396b392b981f","year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.971095Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:8846a9bca9ab896b708eadbe44685707729db755eadb5d55e609b6c5e16b48f0","observation_id":"993e119d-d7e1-4117-ad68-85696b6639d6","resolution":{"observed_at":"2026-08-14T12:44:20.191169Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.011108Z","title":"Srivastava, P","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.011108Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:12936785170c497f647e532713ae3d6c43ed178cabd03593f026bed175105a31","observation_id":"091cc4cd-fc36-45ff-bd50-84d748c99cd6","resolution":{"observed_at":"2026-08-14T12:44:18.011108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0167-7152(02)00314-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.133929Z","title":null,"venue":null,"work_id":"fee61811-ae62-4408-b19f-c85ca2afa2de","year":2002},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.015502Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:b3d4538598255433542a4ec06f7df1cb1141ba37ad6263cebdcf6ef03c0065bc","observation_id":"847151a0-3a66-4aea-9a41-5845a497b2fb","resolution":{"observed_at":"2026-08-14T12:44:18.138799Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btx490","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.118402Z","title":null,"venue":null,"work_id":"70d701f1-d5fd-4273-810b-05a040716024","year":2018},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.019908Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:ca2a2d5518374fa621e8415abf315172813463fd3e510814018d7ae9059fb249","observation_id":"c1790145-2daf-4ce4-9f4a-7afa80d905d7","resolution":{"observed_at":"2026-08-14T12:44:18.123085Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/0047-259x(90)90084-u","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.102634Z","title":null,"venue":null,"work_id":"00e51db8-7a92-4288-b5d9-3d24612e8d5e","year":1990},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.024509Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:d4066a1aa8815ef0934ff5c0ed8f65642e8646c161e530fd4835669e37f057ee","observation_id":"0b6852bb-e4b7-4dc0-85a2-ec4af609d36f","resolution":{"observed_at":"2026-08-14T12:44:18.108143Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:20.169688Z","title":"Tibshirani","venue":null,"work_id":"08f6a037-3496-4a5c-89e6-1594d24fd041","year":1996},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.029036Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:ca79b3b4e17619df0732796382a22306c60f01ed2968a8834db762ca1bb07aa7","observation_id":"a01e5cc7-57b0-4628-ae4d-4b7906155cb5","resolution":{"observed_at":"2026-08-14T12:44:20.175294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.033676Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.033676Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:389ef456c52b7340678bf87de23d0f2613ca13b72285cd9d5ae9d81b7bfbadf1","observation_id":"39d97f79-f7d8-40c7-b731-5620cd5d1a5f","resolution":{"observed_at":"2026-08-14T12:44:18.033676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.038281Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.038281Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:57ac8686ab2de2319b76e3a60a3b4102e91cf38f13639ba8fe145e05ba40873d","observation_id":"16327002-19cf-4f51-9561-4358798e0a86","resolution":{"observed_at":"2026-08-14T12:44:18.038281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jmva.2014.06.003","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.149729Z","title":null,"venue":null,"work_id":"01ef82cd-0027-4c87-9e01-916fe2eb5d2e","year":2014},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.006772Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:f05bd1b15d1b8fbc21ec18acfe989e52925c3c586e31949b04d85d7a8798a5f1","observation_id":"93777a3d-596c-4326-b400-18327c4c41cc","resolution":{"observed_at":"2026-08-14T12:44:18.154532Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.047226Z","title":"Zhong, S","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.047226Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:6484c6a98626701dc29317ce474cdf0714385c92338e4ac83c8c799ba9c9d14f","observation_id":"eaef6328-6774-40b1-b264-6daaf0b03d37","resolution":{"observed_at":"2026-08-14T12:44:18.047226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.051824Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.051824Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:2fe3677f4ca23c1064d641635da3860fbbf292ef87f63ca39fff07f6b7a2fcdb","observation_id":"f0d56185-0958-4c21-b0ba-0926d901db09","resolution":{"observed_at":"2026-08-14T12:44:18.051824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2289474","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:18.786542Z","title":"Zelterman","venue":null,"work_id":"2f88b7f2-32e2-4adc-88d1-c9080ac6ae4f","year":2013},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:18.042808Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:fcfcda68ee321d2c4e8ea07f05b465b91edec3a59f1c7eacbdec646d87c399ee","observation_id":"8141049b-9e60-482d-a4f7-83acc9454dc2","resolution":{"observed_at":"2026-08-14T12:44:18.793587Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"stable/2504807","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:19.548381Z","title":null,"venue":null,"work_id":"3f352779-d24c-415b-b67d-e9504934bde5","year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":1951,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.863405Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:3a1ccdb452d32c9d56da8d17c2110c95d350735b2432c4e9b7b919acc04ad8d4","observation_id":"ecfd90ed-9804-46c1-8157-679f2df89c99","resolution":{"observed_at":"2026-08-14T12:44:19.555627Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.894830Z","title":"doi: 10.1145/1150402.1150436","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.894830Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:a833e4b433be317a410f03bf0dc948f228dd42c83ac95a865d8da63c315c06ee","observation_id":"009329e5-b4e7-406d-8b89-711e77a45cf9","resolution":{"observed_at":"2026-08-14T12:44:17.894830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.854603Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.854603Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:7ca4420ab13552bcae1879c231f1434b3cc6571820ade3473b094cca2089495f","observation_id":"8b36142a-3894-4651-b0b7-88dab41678e1","resolution":{"observed_at":"2026-08-14T12:44:17.854603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.676938Z","title":"doi: 10.1093/biomet/asr054","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.676938Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:d594b03783c5c624a436dca74082d7c96a529ab0ff861a70d88f898f8c98f6b5","observation_id":"aece7dd1-7b44-4ff7-808f-892f389b6418","resolution":{"observed_at":"2026-08-14T12:44:17.676938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.746776Z","title":"doi: 10.3150/12-BEJSP10","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.746776Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:1cd70ab2b632d8d23726ee2c252b12fc95377efdf7e05ccc9848e03f706555d5","observation_id":"9c33fed4-ab79-4e9e-827c-bc00b9cbd17b","resolution":{"observed_at":"2026-08-14T12:44:17.746776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:44:17.775978Z","title":"doi: 10.1093/nsr/nwt032","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.775978Z"},"links":{"citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:289bd016c3b2eaccb8a4fbc4060e4b3478b2977e12221a74a01c194960a25786","observation_id":"e22983bb-20de-4c18-bcef-15f1c06260da","resolution":{"observed_at":"2026-08-14T12:44:17.775978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.00930","last_updated":"2018-09-26T16:55:04Z","snapshot_observed_at":"2026-08-14T18:56:25.635014Z","submitted_at":"2018-07-02T23:54:48Z","title":"Neural Random Projections for Language Modelling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.00930","snapshot_observed_at":"2026-08-14T12:44:17.940013Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T12:44:17.940013Z"},"links":{"cited_paper":"/paper/1807.00930","citing_paper":"/paper/1908.06600"},"observation_digest":"sha256:2a1fadccbee5c17ac95dca2f889bf534f1c38bec4ad826170a44aa05546eccd8","observation_id":"c280f318-31b9-4379-9c91-8ddbf5ace316","resolution":{"observed_at":"2026-08-14T12:44:17.940013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.06600","last_updated":"2019-08-19T05:42:31Z","latest_version":1,"primary_category":"math.ST","snapshot_observed_at":"2026-08-14T12:37:35.675769Z","submitted_at":"2019-08-19T05:42:31Z","title":"High dimensional statistical inference: theoretical development to data analytics"},"reference_resolution":{"displayed":94,"state_counts":{"malformed_identifier":6,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":45,"verified_exact":39,"verified_fuzzy":3},"total_outbound_references":94},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:1908.06600."}