{"as_of":"2026-08-21T04:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56e9274675d9ccf647095da08a3a2cf4a2f9a5f72576f24b90080ddc96381a15","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:49:15.510500Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2501.15016/citation-record","integrity":"/paper/2501.15016/integrity","json":"/paper/2501.15016/citation-record.json","paper":"/paper/2501.15016"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:49:15.360476Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.360476Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:6ce7df48b8d820c42ab65bb360d43faa1a8676ef39a8cdfdf35bf4c3fcb20d0f","observation_id":"b5ecd9b3-d9d0-471f-a3ea-5f410e3becf4","resolution":{"observed_at":"2026-08-10T14:49:15.360476Z","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":"2026-08-10T14:49:15.985849Z","title":null,"venue":null,"work_id":"352ec9fb-d7f1-497c-82d0-92f25aa9979a","year":2012},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.365292Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:583670575460ef547e46fb4e3303a13f4b2fe3290dd14fd90df24255d7f75ae4","observation_id":"a59a59aa-b9be-4b63-9a42-4e9c927fe195","resolution":{"observed_at":"2026-08-10T14:49:15.989464Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.369110Z","title":"Reduced rank regression via adaptive nuclear norm penalization","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.369110Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:e26ca96d3ac07d9856a8b000acdc7323374602b152169d57c40f70cfdb57dc14","observation_id":"4b63b39b-ad7c-4507-bb8b-db8a4805c230","resolution":{"observed_at":"2026-08-10T14:49:15.369110Z","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":"2026-08-10T14:49:15.966455Z","title":"Fast stagewise sparse factor regression","venue":null,"work_id":"017c1937-f371-4160-a896-04d0307c8382","year":2022},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.373723Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:2253f5acaf8d27913f3961801680c12ea85b3e2a93d842a85561f2529d3bf01f","observation_id":"5f966bcf-5952-4eaf-bc6a-88c4f086f82c","resolution":{"observed_at":"2026-08-10T14:49:15.970610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.378972Z","title":"Sparse reduced-rank regression for simultaneous dimension reduction and variable selection","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.378972Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:bdb40b02d5ee38f5a2b4bf438e30d8bcfd15db9b9416e9d712c59ea799328da6","observation_id":"ca423419-5d41-427e-bf87-6c440d88a0d2","resolution":{"observed_at":"2026-08-10T14:49:15.378972Z","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":"2026-08-10T14:49:15.947407Z","title":"Recent developments in dynamic pricing research: multiple products, competition, and limited demand information","venue":null,"work_id":"a56fe2bf-2966-47f0-980c-a5661f198e3c","year":2015},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.384069Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:09773071393cd6eaa76e05fe0da1d041f8ed90f50f712d87e76ca12cbd362f1d","observation_id":"9d932fdb-d525-44c5-805e-a9fbc9f0ea92","resolution":{"observed_at":"2026-08-10T14:49:15.951306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.933433Z","title":"Modeling multimodal continuous heterogeneity in conjoint analysis—a sparse learning approach","venue":null,"work_id":"374c5922-9327-44e2-a051-48338e8182bd","year":2017},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.388332Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:08aedeb4b1f9475c81c99808a77be17d4cb91ddc4417d0db1739df2917c6f947","observation_id":"a173c7d2-75a9-44cf-84fe-49e3ec669736","resolution":{"observed_at":"2026-08-10T14:49:15.937750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.921432Z","title":"Choice-based conjoint analysis","venue":null,"work_id":"ac0bfcc7-957c-4edd-8242-451358a2454c","year":2021},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.391914Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:97b16e54dcc23fd1d9f3869fd68c9558a6c472be7885f88f23446599e25d2920","observation_id":"29079d3b-d3c2-421f-86f0-8727cda24f2b","resolution":{"observed_at":"2026-08-10T14:49:15.925618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.909084Z","title":"A convex optimization approach to modeling consumer heterogeneity in conjoint estimation","venue":null,"work_id":"772824b9-0211-4669-95f6-ba2b1af9025a","year":2007},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.395700Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:f8e52ff6bfc7badd40bfa463d90385a59d487d660ca522b71bd4a2fc11fffbd9","observation_id":"d6c48c48-ece9-4b14-b732-455f6a1b24d4","resolution":{"observed_at":"2026-08-10T14:49:15.913052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.897078Z","title":"A selective overview of variable selection in high dimensional feature space","venue":null,"work_id":"bbe34da5-b1f2-4275-a2ad-92458b85bf65","year":2010},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.399384Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:7797b5fd7906ea71d80c383116fd5675c2dbcdc87b0aa165030cfae8c4b3791e","observation_id":"c2b87e80-0e6f-4746-8fee-f7e4d58f68e4","resolution":{"observed_at":"2026-08-10T14:49:15.901214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.884827Z","title":"Asymptotic properties for combined l 1 and concave regularization","venue":null,"work_id":"fcc53688-04fe-49d2-b281-5f918e0ec6ad","year":2014},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.402827Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:a911f0d86e8d611b3f14012db6b8c6b6e03cab235c96c33a0929d514e7d5d6be","observation_id":"a69c16cb-8600-4a0d-b0fe-2f95ac648946","resolution":{"observed_at":"2026-08-10T14:49:15.889087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.872701Z","title":"Group network hawkes process","venue":null,"work_id":"24dae372-5f2f-4289-ae08-3756d947f877","year":2024},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.406791Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:63bb154330a1762190996e813c9a2cf99680077109057d9e21ffe4081421e2e2","observation_id":"0c312819-e886-4fc6-bcf6-55fe32834fd2","resolution":{"observed_at":"2026-08-10T14:49:15.877051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.861111Z","title":"No spurious local minima in nonconvex low rank problems: A unified geometric analysis","venue":null,"work_id":"23675a84-5d3d-4799-a976-fd800cc7047f","year":2017},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.411165Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:6b8da6373d13b6777202aed89121d89cac4bf5c0dd0d08e5dfd8f2a112b9a3fd","observation_id":"1c723d21-e42b-4b58-9305-cf9609ce3409","resolution":{"observed_at":"2026-08-10T14:49:15.865054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.851062Z","title":"Bayesian reduced rank regression in econometrics","venue":null,"work_id":"ceaba66c-4c6d-4e39-bc67-eb4e2711ab9f","year":1996},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.414923Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:dddae0a0e9c7675204a82c5eb83be9fabe65a8572d039d41677e3814fc52e315","observation_id":"c87a70a9-2fa3-4514-9e19-ba29d3ac76a2","resolution":{"observed_at":"2026-08-10T14:49:15.854215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.841587Z","title":"Procrustes problems, volume 30","venue":null,"work_id":"99f1f8f3-4d08-4699-9f1c-742ac78829c4","year":2004},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.419054Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:da3cd73b881ad67ef328f5d1b76073129765e2d225415a084d2959f8341fbd43","observation_id":"520de639-3530-45fe-b06e-bdb5ed74aa52","resolution":{"observed_at":"2026-08-10T14:49:15.844749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.831261Z","title":"A practical guide to geostatistical mapping, volume 52","venue":null,"work_id":"f2ea8de4-f96e-4f02-b4a9-16670e2fb6c9","year":2009},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.422850Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:a1ae687a675fc26ef3a9a17365cc93c3e7f95bca15b8eb01116f7f32655821f8","observation_id":"0e039eb6-a72e-4afb-b91e-2ef2f72f9472","resolution":{"observed_at":"2026-08-10T14:49:15.834600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.818588Z","title":"Second-order semi-parametric inference for multivariate log gaussian cox processes","venue":null,"work_id":"f14dc231-dd70-41ad-933c-7d2306847107","year":2022},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.426550Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:b3c47c7d192ac68eca978602d6351dc75f7ae588b6721cf5de4a4cebc8cde717","observation_id":"29383a7a-c4ea-46e6-b336-8cb9624d753e","resolution":{"observed_at":"2026-08-10T14:49:15.822667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.806281Z","title":"Semiparametric multinomial logistic regression for multivariate point pattern data","venue":null,"work_id":"793ef6c6-fae4-4db3-9b64-ed27d444ee6d","year":2022},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.430668Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:5d8546e37f6ac3fb216d865a1a4baeb223b3a57cbed8e5b2073d56ec38d653e8","observation_id":"ad6f3bd2-e24c-423e-9fed-04afb9c536d8","resolution":{"observed_at":"2026-08-10T14:49:15.810260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.794344Z","title":"On iterative hard thresholding methods for high-dimensional m-estimation","venue":null,"work_id":"579a24d9-9b42-4a5e-a65f-b871d71ecee8","year":2014},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.434258Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:c495a1d1af416d909cbe868c99c44648c27885324f4a9034e0d53391496cb7ae","observation_id":"878aab10-a219-49de-a909-6d9e0425e0e0","resolution":{"observed_at":"2026-08-10T14:49:15.798204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.782888Z","title":"Dynamic assortment personalization in high dimensions","venue":null,"work_id":"6bd11b2e-ea60-46e1-b3ec-390016d23a8a","year":2020},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.437383Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:8ad271ba803a52f397344b00bc4292b80b602676ad6400fb4011bc3fca07c18a","observation_id":"fb251cd9-38ad-45bb-ac7a-908e01586cc5","resolution":{"observed_at":"2026-08-10T14:49:15.787107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.771193Z","title":"Menu-choice modeling","venue":null,"work_id":"e99f00ae-7fc4-49be-a55c-0c253cd04387","year":2012},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.440961Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:db1a93032b038b2510438d344ccbac194c4991d16cd3da0bce4735c3bbcd36a7","observation_id":"c64b5b79-d26e-4f52-9924-707c1be19295","resolution":{"observed_at":"2026-08-10T14:49:15.775501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.758837Z","title":"Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies","venue":null,"work_id":"8ac6e4e8-3a2a-4c16-8160-5a4c0ac94475","year":2014},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.444014Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:b1d6d8f600e39e3ce2c53d2b2f785d1db3c55f0ffbd1d2e7566babc80129d354","observation_id":"4085f2a0-129e-4c9a-8cd9-e6675c4aa574","resolution":{"observed_at":"2026-08-10T14:49:15.763116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.748111Z","title":"Plants of the world online","venue":null,"work_id":"c8a84c9a-ec09-493a-a3e7-eeadeb9f6733","year":2017},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.447380Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:e758896de6dc02fdb26a760f51f3112427ef890b7924fc3d9cbeaa5b504163f4","observation_id":"c8121603-8786-4589-9915-a0661ac13d56","resolution":{"observed_at":"2026-08-10T14:49:15.751749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18732","last_updated":"2024-04-29T14:19:22Z","snapshot_observed_at":"2026-08-16T13:56:57.466836Z","submitted_at":"2024-04-29T14:19:22Z","title":"Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression","version":1},"cited_work":{"arxiv_id":"2404.18732","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.18732","snapshot_observed_at":"2026-08-10T14:49:15.560405Z","title":"Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression","venue":"stat.ME","work_id":"c0967d57-1ef4-4f61-bde5-429307a252f6","year":2024},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.450711Z"},"links":{"cited_paper":"/paper/2404.18732","citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:beb794c673a7df3dcf7dbf0d88cca690c48b8a72c2cdd7156675e238013cfeb4","observation_id":"1308dc4a-0513-4270-a1ad-9febebed6a3c","resolution":{"observed_at":"2026-08-10T14:49:15.567481Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.736646Z","title":"Vegetative growth of the common bean in response to phosphorus nutrition","venue":null,"work_id":"076ef730-9ddb-40fd-9003-ed11347d3a81","year":1991},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.454872Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:b94165f0b8f6e65338728a5b3abebf48cc87c1b0208165a2d9c40328b23d992f","observation_id":"6e9d0e07-fc44-4565-a2a8-83a00735426c","resolution":{"observed_at":"2026-08-10T14:49:15.740319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.726845Z","title":"Modelling the choice of residential location","venue":null,"work_id":"b5431478-2892-44a7-a71f-d8d6dae6e25b","year":1977},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.458584Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:4c783c33670f989ec0534316cf766481a8f2b3636d5eb6f13fe64d6f06cfbb60","observation_id":"520ece6c-1600-4b08-b436-41d29e2ae6da","resolution":{"observed_at":"2026-08-10T14:49:15.730105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.716079Z","title":"A cluster elastic net for multivariate regression","venue":null,"work_id":"09fa32d4-c4c2-4fdd-9d62-32cd7afcd4b1","year":2018},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.462227Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:3c07ab6d7ba405ad219d4728df40e56d3d5bdee247a1e2ed4f7f04c5edcfcbca","observation_id":"a4a92de7-3d72-4b12-a8ec-574268f22ccf","resolution":{"observed_at":"2026-08-10T14:49:15.719283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.704655Z","title":"Detecting clusters in multivariate response regression","venue":null,"work_id":"06207af8-b881-4f02-a278-2474d9cc55c0","year":2022},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.466088Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:9f302d58abde7095b8a93037baeaa20b9c57e3b4b6dade58cbe8482a1a633111","observation_id":"df06312c-f572-45ac-942a-03b1f7de13c5","resolution":{"observed_at":"2026-08-10T14:49:15.708334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.693607Z","title":"Multivariate Reduced-Rank Regression: Theory, Methods and Applications, volume 225","venue":null,"work_id":"cc31a27e-5ca7-4fb1-a97a-648a07d4cf1b","year":2022},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.470082Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:d9628169d4349075110c56939486756db777391347aaee7fb5524ddec3571e88","observation_id":"9461042d-1caf-47a3-a6bc-3fb002b4741a","resolution":{"observed_at":"2026-08-10T14:49:15.697590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.681598Z","title":"Selective factor extraction in high dimensions","venue":null,"work_id":"a1386ad3-38e4-4c54-8887-7eeb11c71e68","year":2017},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.474163Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:e72f9b36151a5a99e0345ce100ac79109ad1faa9a78441b41d901c76ee7cbf86","observation_id":"862daa45-a784-4d06-b3d1-d14d5dcb6c63","resolution":{"observed_at":"2026-08-10T14:49:15.686202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.670407Z","title":"Supervised multivariate learning with simultaneous feature auto-grouping and dimension reduction","venue":null,"work_id":"35621818-22cd-498a-83a7-8069be12217d","year":2022},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.477667Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:ce494065b57895fac8f63c6fffbe26880c69a14198fe248653b4a1ed99fe5551","observation_id":"a142738a-aeac-450b-bc39-ac63a3d50dc7","resolution":{"observed_at":"2026-08-10T14:49:15.674424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.658649Z","title":"On the use of minimum penalties in statistical learning","venue":null,"work_id":"e7df07b4-ebcc-4ac2-a794-0f897a49abdf","year":2024},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.481399Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:2ddb2722ec50da640a6797e20cf1fd73b27769a9fe6028adf908c2a52d50c0cd","observation_id":"9aa4da19-8a9b-4e0c-bdce-af11db8b90a8","resolution":{"observed_at":"2026-08-10T14:49:15.662716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1311.6529","last_updated":"2013-11-26T00:57:30Z","snapshot_observed_at":"2026-08-14T23:53:58.053043Z","submitted_at":"2013-11-26T00:57:30Z","title":"A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1311.6529","snapshot_observed_at":"2026-08-10T14:49:15.485381Z","title":"A blockwise descent algorithm for group-penalized multiresponse and multinomial regression","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.485381Z"},"links":{"cited_paper":"/paper/1311.6529","citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:7ce7bce4e2e161eb112edc0a370f4b45ad194e6d7a8069f78cef0dba97785fe0","observation_id":"da834b68-4a2c-4013-9804-ad98638180da","resolution":{"observed_at":"2026-08-10T14:49:15.485381Z","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":"2026-08-10T14:49:15.646680Z","title":"Guaranteed matrix completion via non-convex factorization","venue":null,"work_id":"f9de1a0e-4de0-49e2-b7a1-c9232f57b708","year":2016},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.489426Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:373595434148eca93ff5d55aff2a9c628ec9fa782dc2a03630a6012dada5d531","observation_id":"27955770-007f-4825-ab50-d5099e4ee7d0","resolution":{"observed_at":"2026-08-10T14:49:15.650568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.634921Z","title":"Sofar: Large-scale association network learning","venue":null,"work_id":"5b99f268-92bc-4964-bd8f-c87d9c37325f","year":2019},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.492827Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:e0bb1c0d666b7a42018b0a8a327af8aa64c71f848d9883cfb89f25ae330729d5","observation_id":"be74cd23-61b0-41ea-886d-b2d2e9c22715","resolution":{"observed_at":"2026-08-10T14:49:15.639173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.621924Z","title":"Simultaneous dimension reduction and variable selection for multinomial logistic regression","venue":null,"work_id":"49897a16-7310-4b01-93cb-b9af55d2223a","year":2023},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.496345Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:5d118ba26d6aa76727842238745bbc08c902b01d57fae18bf4c1509091d38374","observation_id":"78676dd5-4940-4c5b-84bc-221685502bc7","resolution":{"observed_at":"2026-08-10T14:49:15.626243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.610675Z","title":"Rate minimaxity of the lasso and dantzig selector for the lq loss in lr balls","venue":null,"work_id":"779636fb-44c2-4a51-b7c2-acffa40f04b4","year":2010},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.499959Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:0a6de580410c108627372de82bc9134a55c8c248649f125a56987a15bf0849d0","observation_id":"e2474218-5a01-428d-bc01-68fc4e6de20b","resolution":{"observed_at":"2026-08-10T14:49:15.614295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.600251Z","title":"Scalable interpretable multi-response regression via seed","venue":null,"work_id":"21ab7f87-40d8-4537-9b5b-f156ccd3adc2","year":2019},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.503519Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:9646d1a5920fab986b19f4f9bc63f178e60c70181173c4032dced4018e2bd79f","observation_id":"6950c26a-d404-4aa2-a9c0-72f9c2c17647","resolution":{"observed_at":"2026-08-10T14:49:15.603625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.588448Z","title":"Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes","venue":null,"work_id":"b9dd2877-38aa-447e-826c-28bcce2aedda","year":2013},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.507053Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:099dd305aaf52428982f6f7d10939de300c3da2875f96d31820064ad6f08bc41","observation_id":"befe524f-eba3-4423-89fb-dcc53bb0985b","resolution":{"observed_at":"2026-08-10T14:49:15.592179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T14:49:15.576278Z","title":"Simultaneous estimation and group identification for network vector autoregressive model with heterogeneous nodes","venue":null,"work_id":"cad2c016-ae41-460c-8df4-e709da023c3e","year":2023},"citing_paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T14:49:15.510500Z"},"links":{"citing_paper":"/paper/2501.15016"},"observation_digest":"sha256:871b251a604fdf208fdb4a61d7d3362b251b943b468c345697f66692bc7aa1bf","observation_id":"411d6c4c-9f05-444c-9854-7337897503ba","resolution":{"observed_at":"2026-08-10T14:49:15.580611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.15016","last_updated":"2025-01-25T01:46:12Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-21T00:58:28.611145Z","submitted_at":"2025-01-25T01:46:12Z","title":"Generalized Reduced-Rank Regression with Homogeneity Pursuit"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":40},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.15016."}