{"as_of":"2026-08-10T17:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e6e757ab49b07211c6b1222d8996e72d2b106fbb63aa18b4bd8a7263a739bdf","coverage":[{"denominator":62,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":62,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:42:07.408256Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T22:19:59.891174Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.01893","snapshot_observed_at":"2026-07-14T22:19:59.891174Z","title":"Variational inference for latent variable models in high dimensions","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.12427","last_updated":"2026-06-03T18:32:43Z","snapshot_observed_at":"2026-08-09T03:15:18.232993Z","submitted_at":"2026-03-12T20:20:18Z","title":"Variational Bayes and Truncation approximations for Enriched Dirichlet process mixtures","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T22:19:59.891174Z"},"links":{"cited_paper":"/paper/2506.01893","citing_paper":"/paper/2603.12427"},"observation_digest":"sha256:ed6950eb5e86640ffa0935561d1a63f92fd4d3753918fbc41ae0a71e2c9b075e","observation_id":"b95ff900-11c8-4b38-9ea4-68a1be5e04e3","resolution":{"observed_at":"2026-07-14T22:19:59.891174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.01893/citation-record","integrity":"/paper/2506.01893/integrity","json":"/paper/2506.01893/citation-record.json","paper":"/paper/2506.01893"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:41:47.948049Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T11:41:47.948049Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:10aa4ee0cc9dc6bb1e072e123f095726ab68f8a76ccd80d1b45a800ba514eaee","observation_id":"00e1ac81-29f9-47fa-97c6-2921c8a4b00e","resolution":{"observed_at":"2026-08-07T11:41:47.948049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.231377Z","title":"( 2018 )","venue":null,"work_id":"68aab094-9530-41bf-a89d-82ee24b2fcdd","year":2018},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:02.310215Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:aac12dec06ae52b75259a61631917cab905003de85012a016d8adb376a1898df","observation_id":"a76e575a-6bc8-4945-b7ef-9ccd9f07ec8b","resolution":{"observed_at":"2026-08-07T11:42:08.235793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.218545Z","title":null,"venue":null,"work_id":"a4b2cedd-3635-4515-af2d-89b047bf2612","year":2008},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:05.876562Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:2ca9f3d512bc89bfb7e031f339211e06d3e55f8a442dfbfeb742f2bc1612d852","observation_id":"1e9f36e9-6afe-4dab-9347-b4b40fdd5fe1","resolution":{"observed_at":"2026-08-07T11:42:08.222686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.206372Z","title":null,"venue":null,"work_id":"400e5b80-a429-43b6-96a3-fd4d8b8ae008","year":2006},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.054191Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:664221d390dc3a871f016a14e60072d20937e72765754139a8963caa440ca597","observation_id":"88d07388-c8bb-4bf2-bfd7-cbaa7dd30df6","resolution":{"observed_at":"2026-08-07T11:42:08.210735Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.192756Z","title":", Ridgway , James J","venue":null,"work_id":"9ef13daa-a11a-43bb-b66b-8c9d41769db9","year":2016},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.127747Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:1558c6e95b249b336f79efafce00c828883eb3fd67f323c9050d7013ac720d63","observation_id":"35125462-4bba-4b6f-aaba-435e6f0bc949","resolution":{"observed_at":"2026-08-07T11:42:08.197519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08792","last_updated":"2024-04-12T19:43:54Z","snapshot_observed_at":"2026-07-06T17:59:38.202928Z","submitted_at":"2024-04-12T19:43:54Z","title":"Convergence of coordinate ascent variational inference for log-concave measures via optimal transport","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.08792","snapshot_observed_at":"2026-08-07T11:42:07.132780Z","title":"Lacker , Daniel D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.132780Z"},"links":{"cited_paper":"/paper/2404.08792","citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:9139a87e2592c6affee0e09f3e7d1f2bd815553d1627811658b7e6970d62596b","observation_id":"58fff920-43c1-4e20-a12d-1e6abfbdce3d","resolution":{"observed_at":"2026-08-07T11:42:07.132780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.179010Z","title":"( 2021 )","venue":null,"work_id":"e64f6a7f-74c0-474a-a6d9-daedec1bdfa5","year":2021},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.137054Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:5df9185b3edeaa44e41209c77577b475c86cdd50e1329c2fc9d6b49da25b4630","observation_id":"a76c0ffb-749b-43c1-95a9-d85c1badb7f7","resolution":{"observed_at":"2026-08-07T11:42:08.183630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.166560Z","title":", Pati , Debdeep D","venue":null,"work_id":"014363cb-0814-42bf-801f-45251b1c284f","year":2025},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.141704Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:835f3e2ad232d8c5cd38300c326b5bdf6acaf567c77a90123f9aa1e2eff28e96","observation_id":"300daaf7-7471-40f7-910a-7bd439da54af","resolution":{"observed_at":"2026-08-07T11:42:08.171024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.151700Z","title":", Choi , David D","venue":null,"work_id":"85faae0d-a4ed-4cac-acef-f49530a162ba","year":2013},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.146693Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:99262bef049a6f0e047b2aa0cae9fb7ba6a2e4847ac794a47a9af3705286105f","observation_id":"8df9d416-c57e-4b8f-b86d-3fcb85620091","resolution":{"observed_at":"2026-08-07T11:42:08.157235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.137966Z","title":", Bunea , Florentina F","venue":null,"work_id":"e2247699-213e-42b6-ac6e-27ce9303703d","year":2022},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.155074Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:1cfa938e231e5fab6d92b2b07742dfc272a9b621b92fe6470445da9146ae4ab7","observation_id":"33e7043a-a865-4ae9-aac6-ce27fbfe2696","resolution":{"observed_at":"2026-08-07T11:42:08.142958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.123788Z","title":null,"venue":null,"work_id":"e2b23298-375d-42ab-af5f-99f1831ea682","year":2006},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.159579Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:782dfa806ebaecde11febc75c5a1edf7036dbf537b54fe871ee37c92651f9b6b","observation_id":"51eeb9e3-cc2a-4f5a-8cf2-ade729e7b66c","resolution":{"observed_at":"2026-08-07T11:42:08.129348Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.109647Z","title":null,"venue":null,"work_id":"9e17d78c-343b-4907-836f-c5de6d0c6d2c","year":2017},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.164468Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:02948f5623b7a717ff1f26abe2e7bd4076fad06ffcb02a6c6aca631b821afaf5","observation_id":"3ee0dbe6-5d63-4f42-87d5-51414db0d0d6","resolution":{"observed_at":"2026-08-07T11:42:08.114124Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.096594Z","title":null,"venue":null,"work_id":"b4a2dcb7-b1d2-4d36-879d-50856367c1e1","year":2005},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.168485Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:05302f0ab2b3aac4b7c9fc18b452813145d9cf8e3e239e10dfe0e9e05772ee4d","observation_id":"d06cb0b6-f4c1-406d-9534-7799554e13af","resolution":{"observed_at":"2026-08-07T11:42:08.101150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.083184Z","title":null,"venue":null,"work_id":"fe028eb0-b54a-4afe-8fa2-6b872100271f","year":2003},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.172904Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:0c210627b2f26858ab5db84fbdb7cb7d0e66596c0fe8b65a4b1750b4a80f5d54","observation_id":"ec1e8937-48dc-489b-9728-87d4e332feba","resolution":{"observed_at":"2026-08-07T11:42:08.087308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12659","last_updated":"2025-08-11T11:26:24Z","snapshot_observed_at":"2026-07-06T18:33:02.286642Z","submitted_at":"2024-06-18T14:27:44Z","title":"A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression","version":2},"cited_work":{"arxiv_id":"2406.12659","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.12659","snapshot_observed_at":"2026-08-07T11:42:07.475651Z","title":"A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression","venue":"stat.ML","work_id":"975139b0-6394-42dc-a343-f379f2c26505","year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.177757Z"},"links":{"cited_paper":"/paper/2406.12659","citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:1c49c59a03344eec420d403b272c1f4741634adcec0a34b6623d143e03a361ba","observation_id":"fbbad07c-396f-40c2-afbe-bb608e2c6dd0","resolution":{"observed_at":"2026-08-07T11:42:07.482615Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.070926Z","title":"Dembo , Amir A","venue":null,"work_id":"08c14122-0b02-44b5-b076-a3449b729bf0","year":2016},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.182668Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:3fc465b8db98855a428499f7a73980fbb60dde65119b17508922c503851fdbcf","observation_id":"12c57b1e-a699-46a8-88b9-5d65a5076051","resolution":{"observed_at":"2026-08-07T11:42:08.075398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.057080Z","title":", Handschy , Madeline M","venue":null,"work_id":"15f01716-eef0-4481-b794-e7a25cfebc00","year":2018},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.186875Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:9c91ac493998697ec5f7bb3037d867435a2ffd298e6b02650f80f2becece6f34","observation_id":"992252a0-7b93-4217-a835-b805f9416c46","resolution":{"observed_at":"2026-08-07T11:42:08.062493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.043621Z","title":null,"venue":null,"work_id":"357e75b3-f526-4185-9a5b-0328da454c53","year":2012},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.191487Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:0ad612a9b5127d60dca334ad64bc779143dc5b41694dc7cd0ee21e9b8a861536","observation_id":"403a98b5-83fb-4314-9d78-74eb57fa76ae","resolution":{"observed_at":"2026-08-07T11:42:08.048345Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.032009Z","title":null,"venue":null,"work_id":"24f44216-6a92-46a7-8b70-2b9f90bf26ab","year":2000},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.195855Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:8e76b114fd5410099c82bc2e9d6c5097971c0922a05a1e8cc7a6c5ca9686bec3","observation_id":"fe7fd6f9-0633-4e38-a075-be0b3df994cf","resolution":{"observed_at":"2026-08-07T11:42:08.035876Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.019456Z","title":"Rigon , Tommaso T","venue":null,"work_id":"cd29a5f8-2f9a-4d8a-a51c-c8d4c2703806","year":2019},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.201208Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:4382a164771e7032fa82fe91edf6ef04bdfc50482ef23c1a1f4eb4f94862ca49","observation_id":"d676b16f-7e8c-4287-98df-f0c2938e3a7f","resolution":{"observed_at":"2026-08-07T11:42:08.024162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:08.006757Z","title":"( 2018 )","venue":null,"work_id":"f3760d38-c9d6-480d-a43a-be46b5cdf8e9","year":2018},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.206527Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:64382953b35b83732d089c1085aa549687e86a831ce5ef1cfd5f6791cbd04518","observation_id":"25738115-6a10-4e17-8c59-072c29587b31","resolution":{"observed_at":"2026-08-07T11:42:08.010850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.993319Z","title":", Stephens , Matthew M","venue":null,"work_id":"5f149cd1-204a-43a7-b393-ecb0f7a112c5","year":2003},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.211324Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:ad1cb324ffcf59a8b02ae7e2c644aa88602e3270c337eba4e9094522a83cb697","observation_id":"80cffe69-d478-4cce-a34a-dfc318ae02cf","resolution":{"observed_at":"2026-08-07T11:42:07.998121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.12708","last_updated":"2026-08-03T14:40:28Z","snapshot_observed_at":"2026-08-06T23:33:32.871209Z","submitted_at":"2023-12-20T02:11:48Z","title":"Gradient flows for empirical Bayes in high-dimensional linear models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.12708","snapshot_observed_at":"2026-08-07T11:42:07.215421Z","title":", Guan , Leying L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.215421Z"},"links":{"cited_paper":"/paper/2312.12708","citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:537ec5902d0a63b04ba7fd084cc0aa73485f374ec91c69a1bfac86c0659e3fbc","observation_id":"a52a1d7f-fd64-4070-8e35-4df41d3d2073","resolution":{"observed_at":"2026-08-07T11:42:07.215421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.978961Z","title":", Boyles , Levi L","venue":null,"work_id":"8f15a89e-636c-41b4-836c-ad613a696534","year":2013},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.219884Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:01d2c67859a67c29d744cada1b82bad61c620dc8f60cc92a6bcff45c6e6383c0","observation_id":"feeac752-9621-4768-bc39-6f64ca795095","resolution":{"observed_at":"2026-08-07T11:42:07.984184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.965748Z","title":", Ma , Zongming Z","venue":null,"work_id":"e9caa91a-5c4c-4d87-943b-e72bb95c905b","year":2018},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.225732Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:cccb0a5c971394a339ef19cd7b05eee17923af1c07db6b65129a01788fd8b2c0","observation_id":"c2fe2092-0a15-4ae2-ac7c-62b406bbc1a3","resolution":{"observed_at":"2026-08-07T11:42:07.970892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.954112Z","title":"Klopp , Olga O","venue":null,"work_id":"93e76852-71e5-434f-8dad-9e3c30882fd3","year":2021},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.230436Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:0543b18a18c1ae70355e4219744af163224c43dc6ba0f915f99c79a86ba87c78","observation_id":"41742cd3-9ed8-4bf4-b0ed-c1f932630b51","resolution":{"observed_at":"2026-08-07T11:42:07.958166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.940903Z","title":", Javadi , Hamid H","venue":null,"work_id":"8defb593-1fe1-40af-859e-a1423843ca12","year":2019},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.235653Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:cb127eb335a4db3740612dfc527979d5b84d248986556796a3158a921897d0c2","observation_id":"0ca80043-d223-4e7a-9d70-39e56e828265","resolution":{"observed_at":"2026-08-07T11:42:07.945898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.926599Z","title":null,"venue":null,"work_id":"fdb7fccd-5b47-42ff-950d-a793f2147903","year":2013},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.240581Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:bd8b7d5594f707d00771ae02c548e65c2be50f33cd0b289336406e6ce19413de","observation_id":"f393f6b4-b828-4233-a216-1d218ad1984c","resolution":{"observed_at":"2026-08-07T11:42:07.931486Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.912129Z","title":"Dunson , David B D","venue":null,"work_id":"9da39317-56e1-4dca-bf8a-60943cb9f2f6","year":2023},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.244889Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:dcf5dd4882ecdf202924f61bd4cd9563831c3d09ec7a6ee4faca0d4220327ebb","observation_id":"8cbfb981-9281-4589-95fa-e323172066a7","resolution":{"observed_at":"2026-08-07T11:42:07.918121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.899277Z","title":"( 1982 )","venue":null,"work_id":"50dac684-2718-41c8-b298-c7959cd3c2d7","year":1982},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.250415Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:29ced98559bf3884628e3eb820d8991defb02aa13afec8d958e0b79dc12ddcff","observation_id":"cb011d6f-a991-4e0d-876a-e21bde85da4f","resolution":{"observed_at":"2026-08-07T11:42:07.903777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.885530Z","title":", Liu , Yan Y","venue":null,"work_id":"736e82a0-924c-44dc-a99d-25edad224432","year":2020},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.256238Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:4d755f888f03ef60817cbd9a0f2015603b9673dfe832f56a946f4a6370722a3b","observation_id":"d7ea8804-66b1-4782-8196-b9620141b482","resolution":{"observed_at":"2026-08-07T11:42:07.890459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.872467Z","title":null,"venue":null,"work_id":"44f50952-359b-4509-97e9-b3a6b1a04b00","year":1999},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.261114Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:d2d678a2e61d87c3694280f3974fd9e39017805fc72e7e00e8db8bc2aacbf42e","observation_id":"17932f38-65ec-4244-8810-821682157973","resolution":{"observed_at":"2026-08-07T11:42:07.877141Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.857006Z","title":null,"venue":null,"work_id":"84f1ab27-068a-4c98-abf7-c685a1d0f456","year":2001},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.264979Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:de5db49566206a93a030c8fe54110fea3a9b36eb7bc6c8afbc2d01556a8c7756","observation_id":"079bbcc4-f706-4050-94e8-f5a37d2e33b7","resolution":{"observed_at":"2026-08-07T11:42:07.863660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.843234Z","title":null,"venue":null,"work_id":"97f85b29-efd3-4446-b643-e84769a32571","year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.268952Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:64bcbe4a7e708798e553300b44088a2655715fec1c07697effe531e95704660b","observation_id":"61216f15-5270-42c7-b888-dfacd30ea04e","resolution":{"observed_at":"2026-08-07T11:42:07.847663Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.830056Z","title":", Wang , Wei W","venue":null,"work_id":"1be2421e-70e6-4a63-86c1-7a24d0e8b811","year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.273396Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:f272317bd877b24c16a54ddfe0c4fb7c36bfefd8efb61306e652d24f87c86b3c","observation_id":"fa5ec399-e25a-4284-9897-590924811936","resolution":{"observed_at":"2026-08-07T11:42:07.834090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.818384Z","title":null,"venue":null,"work_id":"980fa56d-c44f-4369-ace6-d5bec9f6bbd5","year":2023},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.278536Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:9dbad588fd88ac4802d4b22900279129b98afedfac937bd5c014e3c2d269f2b2","observation_id":"fbe1f770-a8f8-4b72-984e-ea17b43a96ac","resolution":{"observed_at":"2026-08-07T11:42:07.822340Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.805348Z","title":"Zanella , Giacomo G","venue":null,"work_id":"7027d0a1-787c-495b-ac1e-15be98cb954d","year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.283513Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:fd01594f9c265dc1813b4090a1e2aefd46f96a0e823bf3bd7f904467668db88e","observation_id":"6293cd51-40fd-44b0-af1b-85fb6f1dd840","resolution":{"observed_at":"2026-08-07T11:42:07.810031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.792871Z","title":"Rinaldo , Alessandro A","venue":null,"work_id":"6cdbb83b-5a1a-4b1e-ae1b-7d4cba57d445","year":2015},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.288334Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:f081a0ac9e1bcb0d078b05fe1030f5639e3c066f78cc573beca9116939e41568","observation_id":"feb6e0d8-4f29-4296-a5a4-6d45b6eaa1b3","resolution":{"observed_at":"2026-08-07T11:42:07.797267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.780076Z","title":", Moss , Fabian C F","venue":null,"work_id":"ad8c5e46-982b-40e7-a309-1604e5115480","year":2020},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.293470Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:af34122e1e12e2da1004db76b3966648ebe8a6ddfa7c80a45fb55f19663a0765","observation_id":"344930da-b6a9-4ee0-b475-e803b12d271b","resolution":{"observed_at":"2026-08-07T11:42:07.785006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15247","last_updated":"2024-06-21T15:41:14Z","snapshot_observed_at":"2026-07-06T18:34:56.008706Z","submitted_at":"2024-06-21T15:41:14Z","title":"On Naive Mean-Field Approximation for high-dimensional canonical GLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15247","snapshot_observed_at":"2026-08-07T11:42:07.298108Z","title":", Qiu , Jiaze J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.298108Z"},"links":{"cited_paper":"/paper/2406.15247","citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:1247ce3866c24581dccd9acec3c292a3b55523df03b02af523bfc1928211f753","observation_id":"755974cb-3f85-47df-8c1d-3d7b72724742","resolution":{"observed_at":"2026-08-07T11:42:07.298108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16843","last_updated":"2026-07-02T16:45:25Z","snapshot_observed_at":"2026-08-08T20:54:06.795498Z","submitted_at":"2023-09-28T20:51:40Z","title":"A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16843","snapshot_observed_at":"2026-08-07T11:42:07.304475Z","title":", Sen , Bodhisattva B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.304475Z"},"links":{"cited_paper":"/paper/2309.16843","citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:abb99cbfbf12263f2d55df265b45bc52467ed941038cc14450ee9f5085862eed","observation_id":"cc2e7801-e9a1-4f9b-a854-0deba30cf9ac","resolution":{"observed_at":"2026-08-07T11:42:07.304475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.766234Z","title":"Sen , Subhabrata S","venue":null,"work_id":"8408ed84-081b-4742-a30d-95a47af57393","year":2022},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.309376Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:272feb039913f99a5fd7663959520a130e514083995e2589388b733d1805c0d7","observation_id":"b98a636d-eb51-47af-a00e-e562563f28fc","resolution":{"observed_at":"2026-08-07T11:42:07.770890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.751635Z","title":null,"venue":null,"work_id":"3daec027-ac87-4e41-8446-a07371792585","year":2023},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.314541Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:bd2f7eb939cf3a4facad22276330e77f01001dce346b58983d7cf6c47c2dcbee","observation_id":"a954d56a-d768-4357-992b-c5aea031538d","resolution":{"observed_at":"2026-08-07T11:42:07.756501Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.738080Z","title":", Bhattacharya , Anirban A","venue":null,"work_id":"1b68064a-8a8c-43cc-9782-9c5ac3f9e2ee","year":2018},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.319085Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:627800db946a5895744f01dbc81c7d3995763d151ec7d51a686234b7c4de9962","observation_id":"ad127a3c-7b4d-46c6-a41d-0b9d14dcaf98","resolution":{"observed_at":"2026-08-07T11:42:07.743498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.724042Z","title":null,"venue":null,"work_id":"83c47f58-bc8f-4dc9-98c5-09e0b34c7bac","year":2000},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.323394Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:ff8af694fe05307643be8e5eb2ffe474c1eef8eae5e7f4ee875e7aec5309bb6e","observation_id":"00b38244-3000-4ec9-8c00-8f151b1a9f16","resolution":{"observed_at":"2026-08-07T11:42:07.729088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.710773Z","title":"Szab \\'o , Botond B","venue":null,"work_id":"ff0536ed-f992-4159-bd23-d15e352ac804","year":2022},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.328689Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:2f35b806a7fe8df72fc6278552dbb66e5b0c2c5fc54b37cfeccd32472655f388","observation_id":"28660a63-0a07-4a7f-b3a6-1126fbd6b6be","resolution":{"observed_at":"2026-08-07T11:42:07.715093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.696632Z","title":null,"venue":null,"work_id":"9795b6d5-4288-41a6-b23c-42e47a1188ed","year":2011},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.333460Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:86afbd3abe1e8780ff5285264d18e613e5eecbce814e2393261946ce0d3afd53","observation_id":"61efbeb6-6e8e-4306-bcf0-630c5cb43b24","resolution":{"observed_at":"2026-08-07T11:42:07.702114Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.682751Z","title":null,"venue":null,"work_id":"06ea4e5f-fc6b-4591-a4a0-982ba24f6f64","year":1997},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.338839Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:6e6ee9a9d20763714e564e4580e2c62a8f9e971f3121e958617ba86d811ef9bd","observation_id":"039c55fa-8abb-4edc-bec8-bb121f6b3a77","resolution":{"observed_at":"2026-08-07T11:42:07.687945Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.668642Z","title":", Chu , Jing J","venue":null,"work_id":"28238ec9-c4c2-4cc6-be4e-e25ef6623bab","year":2024},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.345536Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:c87551bef85af5e465478c579de6f6e5d47b89ee5ec3a92081c19121a8c246bc","observation_id":"48c58f49-0774-4fe0-a035-34c47df5cad1","resolution":{"observed_at":"2026-08-07T11:42:07.673307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.655039Z","title":null,"venue":null,"work_id":"69496146-3622-4751-b9dd-8c8d11d1387a","year":2006},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.350602Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:60ea7ec50a7a76901b18aef1fac92ca557f2055b828917659e50fef6bf70ae7b","observation_id":"a1efeab4-f73c-44a5-ad1b-dfafcf719d47","resolution":{"observed_at":"2026-08-07T11:42:07.659542Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.355197Z","title":"( 2014 )","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.355197Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:e155e8968effefd833f92209bdd776955f8e9e5010d8ad4e7d70f33696ee33af","observation_id":"13341129-6431-4291-a620-ef88b6d242a5","resolution":{"observed_at":"2026-08-07T11:42:07.355197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.633453Z","title":"Kumar , Sathish AP S","venue":null,"work_id":"47eafd88-e105-48e4-bffe-9dabe9e7037c","year":2020},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.359667Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:139a0baed8094c51744cf5b465453a5976570e4170d0edf187e4fee256004366","observation_id":"e9f3713e-22b8-45a0-ad14-bfdea649183d","resolution":{"observed_at":"2026-08-07T11:42:07.637381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.620611Z","title":null,"venue":null,"work_id":"f2c0719c-ceea-4a8f-a3ac-4a8bf5bd0d74","year":2008},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.364703Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:5fb179e1509ec5c7c51756ba1c3d3102607e82c7bf8e8da98238fd3c29ea8b4b","observation_id":"41c51acc-1fea-4146-b386-ff8c2ffafc19","resolution":{"observed_at":"2026-08-07T11:42:07.625079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.608049Z","title":"Blei , David M D","venue":null,"work_id":"9167b7e4-481a-4706-b487-5e66071f812b","year":2011},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.368564Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:9a0b7af0be6a190c9c27b758aa701184c0408e0474ed0d9ecf22de4489247d99","observation_id":"2c8715fe-083e-4475-931e-198bac720165","resolution":{"observed_at":"2026-08-07T11:42:07.612313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.595030Z","title":", Yang , Wen W","venue":null,"work_id":"e4fe3929-9740-4a49-b000-77b13694eefd","year":2022},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.374252Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:3faa158fc4ed638be32cc515fbcef7133c0b342cbbfaeb3bc67a6cbb1676c223","observation_id":"44a2ef48-6843-472b-9df5-d520f8ae1db1","resolution":{"observed_at":"2026-08-07T11:42:07.599461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.580483Z","title":"Blei , David M D","venue":null,"work_id":"265da3f5-b22b-4509-b765-1e2fd3d60139","year":2019},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.379946Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:f51323c7ceb0e62eecf994103c341188946ecadc49080acd5568f02e78721ee5","observation_id":"412bdb3d-e732-43c1-9fbc-e193f1081915","resolution":{"observed_at":"2026-08-07T11:42:07.585303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.567334Z","title":null,"venue":null,"work_id":"cef7819f-70fa-42e4-a91c-a9abecf84060","year":1987},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.384476Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:34797a8ba49a130f1ef7fad09fe9ae68dd0b0d68cad259bf62e0d257d2b75efa","observation_id":"c0b97c90-ea64-44c8-9e7c-27e4475b79e5","resolution":{"observed_at":"2026-08-07T11:42:07.571396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.554232Z","title":null,"venue":null,"work_id":"09bc1e28-09d6-44eb-bb70-fe1caf50219f","year":2010},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.389536Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:13a993e00e3f4daae7c96de58959109ced40fd64503b7321f8e1e1fea5f873c4","observation_id":"b41b62a2-01a4-4147-8f3d-eac1ddbf2a9e","resolution":{"observed_at":"2026-08-07T11:42:07.558644Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.540733Z","title":"( 2020 )","venue":null,"work_id":"7c654735-318d-41ab-8a8d-900e4ba43b69","year":2020},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.394003Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:a0522ede82d14ec5446ff26918fb549254fc0967cd94ecf2376770c4de8897ac","observation_id":"07faebfe-1aa5-4b24-92e9-e431b00e6531","resolution":{"observed_at":"2026-08-07T11:42:07.545502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.525632Z","title":null,"venue":null,"work_id":"40cf3830-e6d0-4374-b201-0bcfaeaec4af","year":2016},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.398530Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:e88ea02632ed2a346f3a5e56e917f7ae2cd7e2a48178c442bd2728831d78cedc","observation_id":"7307469a-df44-4dcf-9de9-65b2f5f9588e","resolution":{"observed_at":"2026-08-07T11:42:07.530897Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.511446Z","title":null,"venue":null,"work_id":"92d57cfa-7cb0-4afa-89c7-6fd563ff60b9","year":2020},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.402804Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:318a71f9586dc7c0bdb3253c91b2d261567af5c80ed6f3d6dd57ef42a7ab376a","observation_id":"6d82b1d9-61d1-4c74-8be1-e5c025ee4a46","resolution":{"observed_at":"2026-08-07T11:42:07.516612Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:42:07.408256Z","title":"Gao , Chao C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T11:42:07.408256Z"},"links":{"citing_paper":"/paper/2506.01893"},"observation_digest":"sha256:72d56902c50acaedf34bf2e873697d1d0fd5b4eb8cb81a6f207ef0cc561242a8","observation_id":"fe52c88b-08d9-4620-85c9-de52afd7ac54","resolution":{"observed_at":"2026-08-07T11:42:07.408256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.01893","last_updated":"2025-07-16T23:11:02Z","latest_version":2,"primary_category":"math.ST","snapshot_observed_at":"2026-08-08T20:54:25.535319Z","submitted_at":"2025-06-02T17:19:58Z","title":"Variational Inference for Latent Variable Models in High Dimensions"},"reference_resolution":{"displayed":62,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":62},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2506.01893."}