{"as_of":"2026-08-16T08:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fdd094645c200f6e8341baa5ef32c5ac555bef51289b0bda7ed531d610977981","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:54:19.174164Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.06431/citation-record","integrity":"/paper/1908.06431/integrity","json":"/paper/1908.06431/citation-record.json","paper":"/paper/1908.06431"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.548909Z","title":"J., Amemiya, T., and Poirier, D","venue":null,"work_id":"db8993f1-1111-403f-9e89-59edc77bb592","year":1976},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.048850Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:16f3fb6db36efcd93c7f9de9c3dacf9dc9fdf77309542b4658deacff2a8d57c9","observation_id":"d4aacac9-dbaa-49bb-82ea-f6fc2ae9ed8c","resolution":{"observed_at":"2026-08-14T12:54:19.552066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.539856Z","title":null,"venue":null,"work_id":"42d0c1a1-f0d5-4d79-b93e-187bc06780ed","year":1987},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.053001Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:5713f34519269a6863851560a0540cd3edc7cc7281146ff77c14ca9ec3b910bc","observation_id":"7f9fa25e-a8da-4b1e-afde-639ddcb2661d","resolution":{"observed_at":"2026-08-14T12:54:19.543379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.529938Z","title":null,"venue":null,"work_id":"20da9bab-3870-435a-93db-179c88e4ff73","year":2011},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.056617Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:f0d46f6ecbac234ebec4d91315ee1d8cd8df032d6bf3505314dd9ca4e27efa53","observation_id":"c6021c11-5c33-4d73-a802-67161fc642d6","resolution":{"observed_at":"2026-08-14T12:54:19.533390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1404.1578","last_updated":"2019-07-06T19:36:11Z","snapshot_observed_at":"2026-08-14T23:38:30.743688Z","submitted_at":"2014-04-06T14:05:46Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1404.1578","snapshot_observed_at":"2026-08-14T12:54:19.060162Z","title":"and Zhao, L","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.060162Z"},"links":{"cited_paper":"/paper/1404.1578","citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:7177cbd193b3968f471cc9d788f98a24ae37e00e0a158d15584ff2d6612a575a","observation_id":"ce49899d-600d-476a-8a4c-0f3c27b3a07e","resolution":{"observed_at":"2026-08-14T12:54:19.060162Z","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":"2026-08-14T12:54:19.520877Z","title":null,"venue":null,"work_id":"5770e8a4-a566-48b2-b575-15c940eb8433","year":1988},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.066180Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:2947f94fbca84e1fdc6972a5155d8f4d2cd74c97be23a2227463a2af19ca004b","observation_id":"deb57ece-0a8c-4387-a251-6dbbc4db9959","resolution":{"observed_at":"2026-08-14T12:54:19.524058Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.511997Z","title":null,"venue":null,"work_id":"5f0c3476-6e84-4446-8c85-6a17761945cd","year":2008},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.069714Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:dd63793131cca074d0b0e3c5c68f1bc64a16e20c68e2124a04dd1b7b2e8e97fc","observation_id":"30262ecb-15bc-46e4-8c35-9128015da2f0","resolution":{"observed_at":"2026-08-14T12:54:19.514885Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.503142Z","title":"J., Chen, J., and Li, H","venue":null,"work_id":"3ba8397e-05df-4a85-8cf7-7b4cf242b2a7","year":2012},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.073363Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:b940d973136ef1638067fdfca47025e4e2d88e1a25335755edfd825ff70c9d08","observation_id":"a52b6f5c-d8ab-4e91-ba30-42b7a082410d","resolution":{"observed_at":"2026-08-14T12:54:19.506468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.493903Z","title":"G., and Newey, W","venue":null,"work_id":"c83b4933-8f29-4ef3-a87c-9d141539e95b","year":1994},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.076506Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:134ce5389014cfe25b0e8f1ae0b25ba245e864d045f59b840f95bb6a68afe4fc","observation_id":"327283de-8ec2-4a85-8f8f-7f5d37057e71","resolution":{"observed_at":"2026-08-14T12:54:19.497353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.484931Z","title":null,"venue":null,"work_id":"9c7d2b34-3f6d-4551-a179-adecf93de47b","year":2017},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.079146Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:af2d070a6f1e49e214cc628cfd973bf8e88119eb39bfb2eac5c63e32b8cbe1f9","observation_id":"de119775-f64d-48f3-ad4c-e9b71fe4de42","resolution":{"observed_at":"2026-08-14T12:54:19.487978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.476462Z","title":null,"venue":null,"work_id":"cb9a7042-c78e-4f17-919b-586db9d194f4","year":2001},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.081528Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:e1101166f89c226b8ab115cfa87d54a494aff7ae67fbd64392860adf568f01c6","observation_id":"2d8933e3-1ef1-47c1-94e5-7941d7a59846","resolution":{"observed_at":"2026-08-14T12:54:19.479504Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.467410Z","title":null,"venue":null,"work_id":"75c55143-33d3-4564-a0e3-80ea3c1995b9","year":2008},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.084200Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:d27cf57b27a4b567f9c62a82308d2f2289bdd56bc980572a9c8a69323a012ce2","observation_id":"ff1b10c1-d730-4aa6-bfae-bb9eed6be53d","resolution":{"observed_at":"2026-08-14T12:54:19.470838Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.459764Z","title":null,"venue":null,"work_id":"51b4e658-e035-496d-a622-e5074d8de69f","year":2014},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.087031Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:6a808738f2cd8939788ec0dfa54f0f9f0cac81e20e3f34ff046b31a6eed8c500","observation_id":"878afa98-a7f5-4639-a8b4-bb46c6019c10","resolution":{"observed_at":"2026-08-14T12:54:19.462309Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.452229Z","title":null,"venue":null,"work_id":"3a097fb4-cbe5-45f9-826d-bf3c96562401","year":2016},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.090030Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:fbd9cd2e3c51125bc3ec0b29b84b9d473a7f754c53b614f0c1c99542e702e18b","observation_id":"0d355a9e-d887-4d9e-ae36-ed3389b5bcb4","resolution":{"observed_at":"2026-08-14T12:54:19.454959Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.444659Z","title":null,"venue":null,"work_id":"c5d9bb23-b973-43f6-a9fd-a866331d3190","year":2006},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.093090Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:632052a12733adf55ea834f699d93b895a5a71f3c5f542d41f653ed1fb4b3e52","observation_id":"d62e086b-1a5f-40af-bcac-3ed750169969","resolution":{"observed_at":"2026-08-14T12:54:19.447292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.436647Z","title":null,"venue":null,"work_id":"49bcd211-da66-48cd-8908-47f445097acc","year":1990},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.096169Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:ede21e7a687dd5655625171c3859b14cfde7b59202df65e1cbcc996462120b46","observation_id":"96cdf088-5010-4632-8cf6-da976230708e","resolution":{"observed_at":"2026-08-14T12:54:19.439340Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.428399Z","title":null,"venue":null,"work_id":"3ce430fe-2ab9-44ba-8607-107f83d2fb29","year":2013},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.099214Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:ea4cdd11f522ee1cb9514346f3d8cad84e0eee99397cf9ef3134e5436eefe4f1","observation_id":"9eb95bb5-95ae-49b4-a909-ac483f00fcdf","resolution":{"observed_at":"2026-08-14T12:54:19.431421Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.419646Z","title":null,"venue":null,"work_id":"ade5279e-6098-437c-b6f4-521ef445f23d","year":1999},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.102286Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:08b0df04b57ce00b357214ce8a7291fd8d3a1ebc90e47aea7c3521451da9dad4","observation_id":"1729e70b-26af-4cc6-9694-f1288fedb9db","resolution":{"observed_at":"2026-08-14T12:54:19.422695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.411073Z","title":null,"venue":null,"work_id":"2504858d-c2c7-45b9-9714-d60bcec094e9","year":2008},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.105367Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:aae2854bbd67f41b031222c5af1d7262ed3f648a8f53e0e006f0c15e4e99364f","observation_id":"3ab2131e-5011-4050-a070-64f9b452d7aa","resolution":{"observed_at":"2026-08-14T12:54:19.414180Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.402424Z","title":null,"venue":null,"work_id":"0816162a-c7fd-400d-9ef9-1eaa0b6f8a4e","year":1987},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.108477Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:ef31fb354f6c2aeedbbdaa0833b92b0fc9b0384efafea367b7af09a9ea1cfb52","observation_id":"3094aef4-70e9-4b9e-9685-457067868a25","resolution":{"observed_at":"2026-08-14T12:54:19.405742Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.394045Z","title":null,"venue":null,"work_id":"e9cf9e9a-8e0e-4481-9575-e04d68b292f1","year":2005},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.111424Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:496f08efd16057a3d103e644fc7aae17fa095aad3a410dacd716fa31811f7d80","observation_id":"d458653e-f16f-4a73-a49c-d23bf0c62de5","resolution":{"observed_at":"2026-08-14T12:54:19.397219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.385608Z","title":null,"venue":null,"work_id":"2d469616-9e07-4003-aa07-612c791b10b5","year":2009},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.114801Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:06f045f94b0be138ac3ea045427d9d5e76b5b7c76fd426348d58b72798972414","observation_id":"1afb0645-9140-4a60-a79e-1eb1fa529f5d","resolution":{"observed_at":"2026-08-14T12:54:19.388594Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.376625Z","title":"Y., Wang J., Huang F., et al","venue":null,"work_id":"8622dcab-20df-4517-8ece-54018fce16c3","year":2018},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.117983Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:457e683ddab05786f318c5b7b5e85a3fa8221235e27937cbd07b4a55900246f0","observation_id":"ab719006-2b69-4296-a09a-1f37398f10a1","resolution":{"observed_at":"2026-08-14T12:54:19.379800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.368340Z","title":null,"venue":null,"work_id":"8b14d152-990a-4620-915e-aeadf5c0ea2e","year":2013},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.120970Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:96a72daf72e81e1ff073b9d9397f4d696a6a1926ec4c2e80e7e2a22519b0e407","observation_id":"f4357af8-531a-40fd-ac20-bfc6ecc20130","resolution":{"observed_at":"2026-08-14T12:54:19.371352Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.360060Z","title":null,"venue":null,"work_id":"400397b7-d4f9-4ae7-93c0-f744863b0e47","year":2008},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.124129Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:54102769641c92c0e83c79b917a2fd53d73605ebee5f425d3542f707b7f2eb5b","observation_id":"62ca7b69-0c9e-4199-ba01-339585858099","resolution":{"observed_at":"2026-08-14T12:54:19.363175Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.351032Z","title":null,"venue":null,"work_id":"603aaf9c-5732-4b41-b53f-704c0b82641d","year":2013},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.127185Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:2d1972c3e78bd6bad63e4e4f873d0d7dd8b9c18645b8e7f97d2cd971b32db886","observation_id":"cc563dc7-e4e5-443d-82f1-2c4c674ed0f5","resolution":{"observed_at":"2026-08-14T12:54:19.354440Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.343883Z","title":"K., and Powell, J","venue":null,"work_id":"d2e942bc-f285-44a9-99e4-4a2bcd84a398","year":1987},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.130352Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:d4da3ccd9785cbd026ab2294661bcdc6f3e8677955cbfe558f9d963969bfd273","observation_id":"d9fc47de-463f-44ce-86f2-db835394d588","resolution":{"observed_at":"2026-08-14T12:54:19.346429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.335282Z","title":"A., and Stasinopoulos, D","venue":null,"work_id":"49314361-85bb-45c3-a6c0-292e117ceb35","year":1996},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.133594Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:b65fe4d2cf694bb16d00768ec8e2df22412b43a6c03d8d393f44504014109e69","observation_id":"519e48ed-d44e-415d-87c8-644220cfa38f","resolution":{"observed_at":"2026-08-14T12:54:19.339014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.327210Z","title":null,"venue":null,"work_id":"5862249d-e341-427d-9654-cef4c6cea446","year":1988},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.136588Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:b0dcf69b126e0031134f2641da6a62a2cbd700c8c4c98adc634fd420dc712dff","observation_id":"74aa12a9-c0ec-45d7-a58c-fc27abc581a5","resolution":{"observed_at":"2026-08-14T12:54:19.330256Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.318631Z","title":null,"venue":null,"work_id":"94702c59-1fde-43d2-98a4-7313aa0050f1","year":2007},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.139404Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:e22cd5c609abec11b67afeeead03c6227f48f3988e45d197afe734ed7ca612ed","observation_id":"e46acc25-aeb7-415f-8f5d-c447fc5d5d90","resolution":{"observed_at":"2026-08-14T12:54:19.321775Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.309806Z","title":null,"venue":null,"work_id":"ca161f54-ae5f-474f-8d8b-8e695ff995a9","year":2016},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.141972Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:e6a1dfdccc13a0ed0f26c0a0662b7c422ee75f4ba66f905ccd82b039f45467a5","observation_id":"66d6a777-2322-4796-a6b3-b2342a61156d","resolution":{"observed_at":"2026-08-14T12:54:19.312846Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.301262Z","title":null,"venue":null,"work_id":"3f56385f-ff67-4e7c-88d0-0ac4eaac6cda","year":1985},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.144481Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:e150c413078297ea7bcf86d33cb995cc02378d01abfed1b9e0439813ebf7fa33","observation_id":"d9782d9f-0af4-40eb-a20d-67b8267e743c","resolution":{"observed_at":"2026-08-14T12:54:19.304350Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.292296Z","title":"D., and An, L","venue":null,"work_id":"dd907ecb-66e0-4038-8a60-122da973a25a","year":1997},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.147012Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:a4aa3ce6a3ad842c0fd45bb21583b1775e5e45fbdcf8555f6310d742ea8230ee","observation_id":"6e82d883-ca0d-4f1b-a333-2fed95ec2d5b","resolution":{"observed_at":"2026-08-14T12:54:19.295524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.283431Z","title":null,"venue":null,"work_id":"e4ce808a-c776-43f5-a94f-c0bd7bfea11d","year":1996},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.149480Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:87b57afa1b05f623b73bf83eef52f3510814a360e7954c2fdecc538e7fea608b","observation_id":"1b0d6065-5f8c-479f-98a0-d06a12092450","resolution":{"observed_at":"2026-08-14T12:54:19.286564Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.274936Z","title":null,"venue":null,"work_id":"36f15108-9c75-463f-b41a-36e6a2fea753","year":2012},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.153041Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:850240c237ba5d7048b3ffad2118bc19478455420f55058500eed2af6e425644","observation_id":"3840ca1e-2be2-47e2-ac6b-bbd2eb8d7e0f","resolution":{"observed_at":"2026-08-14T12:54:19.277965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.265722Z","title":"W., and Wellner, J","venue":null,"work_id":"e28c6b01-956f-4c79-9d90-50e02c126b44","year":1996},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.155961Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:cd0d6fd74deae738f97fc4a3d1928edc4d6c57299fa024f893b38bbe74d571ad","observation_id":"556d5de4-5926-4e37-b348-cfffec618c0d","resolution":{"observed_at":"2026-08-14T12:54:19.268944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.256083Z","title":"D., Fejglova, K., Vasikova, A., Krejcik, Z., Pastorkova, A.,","venue":null,"work_id":"731944e6-473d-45b9-8294-5c981349a9aa","year":2011},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.158957Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:d7fe316d2706d5bbf057704a6cf7ef4be4e43dc2fbc1c495a7086c2a7253f584","observation_id":"69d8a1e6-69c9-4a7a-8125-83c5ab9265ef","resolution":{"observed_at":"2026-08-14T12:54:19.259791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.246049Z","title":"S., Sobotka, F., Kneib, T., and Kauermann, G","venue":null,"work_id":"f86298bf-ab68-43f6-b14b-a09989ab4994","year":2015},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.162034Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:5e4e8dc90c8bb3a1473f14bacb1f02f535bcc9340418d7263cf03176ee970a54","observation_id":"3d02378b-1443-4530-9272-818e5e06904a","resolution":{"observed_at":"2026-08-14T12:54:19.249608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.237034Z","title":null,"venue":null,"work_id":"0470500e-530a-4349-bfef-e3f890e0cdea","year":2012},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.165045Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:779d072a6df716b90912c3065fa27a4dda8bd205ab815ff387b0925e2ed9d1f0","observation_id":"91ce5a73-67fb-4372-8ad4-07303f87692a","resolution":{"observed_at":"2026-08-14T12:54:19.239857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.228869Z","title":"and Zhang Y","venue":null,"work_id":"44134107-402d-452e-b075-d52ca35b7076","year":2018},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.168185Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:f36ea4a0dc4992db9e1c2e9986e9eef7e18041b5170489156a617d636cae0958","observation_id":"e8df39b2-3675-4e92-ae2b-106600c333a1","resolution":{"observed_at":"2026-08-14T12:54:19.231562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.220513Z","title":null,"venue":null,"work_id":"d4959171-7aa6-45cb-8172-7b3c7f36ddc5","year":2010},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.171223Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:5a72c6b2d93416f099a3ea277da64438ee829be2d8a8cd0e4829ff4d3260e764","observation_id":"a2fb3db7-0195-4de5-9385-e83434f313f0","resolution":{"observed_at":"2026-08-14T12:54:19.223434Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:54:19.209596Z","title":null,"venue":null,"work_id":"53a804ca-7eff-43a2-813e-91ded9472947","year":2008},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.174164Z"},"links":{"citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:51f8d94794c89d46b54b10ed0e6a01a40f6dbc9dda74f41b4782b2c8aeb3077a","observation_id":"ef8a9ce6-9d5e-4ee1-a642-20eab1f4c5d0","resolution":{"observed_at":"2026-08-14T12:54:19.213914Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","latest_version":1,"primary_category":"math.ST","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":41},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.06431."}