{"as_of":"2026-08-20T09:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:262f680206c3809199355954966fc079398f4a1b5c09c836a68a1da03d5929a3","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:44:49.051856Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"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/2411.17961/citation-record","integrity":"/paper/2411.17961/integrity","json":"/paper/2411.17961/citation-record.json","paper":"/paper/2411.17961"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:49.437486Z","title":"Covertype,","venue":null,"work_id":"ac366757-d4ed-4857-b25a-0682fd71d7c1","year":1998},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.946750Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:0370eb22983908414e44f63f53fe426883c7a634625253621a03f3f23d455bf1","observation_id":"20328aa0-8f31-416f-89e4-379e53cb61d2","resolution":{"observed_at":"2026-08-12T11:44:49.441100Z","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":"2026-08-12T11:44:49.380853Z","title":null,"venue":null,"work_id":"710f88ed-28ad-4b2d-8253-3fae754f9d28","year":2021},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.969170Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:c4469c8254341701bfd313c892d41f220128f2f93d43e549bc9e560650d686c9","observation_id":"8777096e-8fd2-41bc-86c4-aa8d22f85938","resolution":{"observed_at":"2026-08-12T11:44:49.384627Z","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":{"arxiv_id":"2010.03697","last_updated":"2021-03-19T20:33:37Z","snapshot_observed_at":"2026-08-16T19:15:04.815908Z","submitted_at":"2020-10-08T00:14:59Z","title":"A Critique of Self-Expressive Deep Subspace Clustering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.03697","snapshot_observed_at":"2026-08-12T11:44:48.978804Z","title":"[He et al., 2016] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.978804Z"},"links":{"cited_paper":"/paper/2010.03697","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:b539ad00ce55b8fe6148dcef35cd36862f6e72c896808bdd162693a5f4898858","observation_id":"241cd1ba-a6a1-47aa-b318-b22fde44fe3c","resolution":{"observed_at":"2026-08-12T11:44:48.978804Z","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":"2026-08-12T11:44:49.344833Z","title":null,"venue":null,"work_id":"eba08d20-1038-4772-8cc6-24fee0319f7c","year":2006},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.982566Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:197861d551ee4a920e07390f704808dc5010116de070b6e030d4f895b9ceabad","observation_id":"ebbbfffc-0208-4660-adce-1ed2f6ec3982","resolution":{"observed_at":"2026-08-12T11:44:49.348487Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:49.332997Z","title":"Deep subspace clustering net- works","venue":null,"work_id":"fd2c952d-a3e8-4f7a-9500-be01374d3544","year":2017},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.985965Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:7ee3810569671a940099a89954c65d647ede25aad39d34bde0f493d146b41e20","observation_id":"f02c1cb9-b173-4a1f-b6fb-590cc0e3544b","resolution":{"observed_at":"2026-08-12T11:44:49.336752Z","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":"2026-08-12T11:44:48.995468Z","title":"Gradient-based learning ap- plied to document recognition","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.995468Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:c91d9b8056d2238d8c8a418a9fb818a0dc3067b5a17d3fae1087b9ffbf940126","observation_id":"ef9b27cd-2d1a-4455-b49c-da48aa8215d0","resolution":{"observed_at":"2026-08-12T11:44:48.995468Z","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":"2026-08-12T11:44:49.291746Z","title":"[Lezama et al., 2018] Jos´e Lezama, Qiang Qiu, Pablo Mus´e, and Guillermo Sapiro","venue":null,"work_id":"2eb2676b-0b7c-41f1-9e89-f3701edd7c70","year":2018},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.998555Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:c598c88fbeaf9acf3f4989a7749b958d781f9fbcc0eb137f4405f7bd590fbed1","observation_id":"10134e44-53d3-4d8b-bca1-3de773fa3eaf","resolution":{"observed_at":"2026-08-12T11:44:49.295401Z","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":"1709.08374","last_updated":"2017-09-25T08:43:04Z","snapshot_observed_at":"2026-08-17T17:17:28.757123Z","submitted_at":"2017-09-25T08:43:04Z","title":"Deep Sparse Subspace Clustering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.08374","snapshot_observed_at":"2026-08-12T11:44:49.011244Z","title":"[Qiuyi Wu, 2017] Ernest Fokoue Qiuyi Wu","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.011244Z"},"links":{"cited_paper":"/paper/1709.08374","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:d6c59fe3777aef25e74b9f4115fc8fafe4d8f3e016a41fb1ed7f94ba3a530def","observation_id":"388a8ca0-9862-4bd6-b510-608419b349cb","resolution":{"observed_at":"2026-08-12T11:44:49.011244Z","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":"2026-08-12T11:44:49.245959Z","title":"Linear algebra and its appli- cations","venue":null,"work_id":"218ca5fe-e9cc-4ea3-bef6-03986cf30cfd","year":2012},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.014766Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:ca82fd6dbe431708fce1ebb0b6ef272c79fbe24a2c112a072abbd2963a3c4263","observation_id":"e4fde7a1-1516-4ed1-8bba-b7df4af3d934","resolution":{"observed_at":"2026-08-12T11:44:49.249675Z","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":"2026-08-12T11:44:49.234855Z","title":"Tabeart, Sarah L","venue":null,"work_id":"70dffbe7-c6b3-4c09-b730-94dea614bd38","year":2019},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.018015Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:1920b7299ced6bc156fab0fec632566edb40098664e0b57fd91c0f014a0b0a64","observation_id":"78a39003-5845-4464-a9d4-2388080cf0a4","resolution":{"observed_at":"2026-08-12T11:44:49.238474Z","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":"2026-08-12T11:44:49.222933Z","title":"van Wieringen","venue":null,"work_id":"0b303374-ff7e-4825-808f-445000f3f4c8","year":2023},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.024929Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:9592c9c8030c6e7cfa7b4a7af8020e8de0068bde9a4061a6f04e15befc81021a","observation_id":"8b82ad0c-abd6-4bb4-9db2-071540da4be5","resolution":{"observed_at":"2026-08-12T11:44:49.226934Z","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":"1509.09169","last_updated":"2023-06-27T19:36:14Z","snapshot_observed_at":"2026-08-16T11:53:31.616294Z","submitted_at":"2015-09-30T13:38:31Z","title":"Lecture notes on ridge regression","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.09169","snapshot_observed_at":"2026-08-12T11:44:49.028158Z","title":"[Vergara, 2012] Alexander Vergara","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.028158Z"},"links":{"cited_paper":"/paper/1509.09169","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:ed98a13ff85652621ef0d92a436bf79869c0acdb1ad69aba9b002e428621e511","observation_id":"fac12c57-8401-49b4-9cd1-5de4f06aa7e5","resolution":{"observed_at":"2026-08-12T11:44:49.028158Z","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":"2026-08-12T11:44:49.210735Z","title":"Learning Diverse and Discriminative Representations via the Principle of Maxi- mal Coding Rate Reduction","venue":null,"work_id":"5e30efa3-c2ad-4a86-8220-7c3db2b876ac","year":2020},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.031619Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:e1fedd49e5908cc1df96f4fc6842603350569eb38627c4fade5cc10ca24acca2","observation_id":"e24c4a77-153b-4a27-955b-aa80f0bb83ce","resolution":{"observed_at":"2026-08-12T11:44:49.214576Z","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":"2311.13110","last_updated":"2024-09-06T07:40:40Z","snapshot_observed_at":"2026-08-16T14:41:19.190913Z","submitted_at":"2023-11-22T02:23:32Z","title":"White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.13110","snapshot_observed_at":"2026-08-12T11:44:49.034826Z","title":"[Yu et al., 2023b] Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin Ha- effele, and Yi Ma","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.034826Z"},"links":{"cited_paper":"/paper/2311.13110","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:8cc79cf9bfd0a6a2703ebc344b0fcc6b939e07d313f4bcad064d0574552ce217","observation_id":"b5702adb-7461-4181-9d01-4483cff6c1b0","resolution":{"observed_at":"2026-08-12T11:44:49.034826Z","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":"2026-08-12T11:44:49.198972Z","title":"Scalable Deep k-Subspace Clustering","venue":null,"work_id":"5427b1b4-cc55-4469-abc9-f36c02428558","year":2018},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.038805Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:83798530a0b92445b222c6ba1b6ac8fe9a2251b610f7b09b9471f5dab2a0fca0","observation_id":"7b320aa1-8e83-42eb-b907-155fb0120b07","resolution":{"observed_at":"2026-08-12T11:44:49.202827Z","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":"2026-08-12T11:44:49.187107Z","title":"Deep adversarial subspace clustering","venue":null,"work_id":"324f8dd3-68d6-4119-b25c-59eee0b13f1c","year":2018},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.041936Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:dce1a7bf40b973b7445bc7fb99d45c347e49f6d2c898fab9c60ead59db5bb9e8","observation_id":"104c31aa-0958-46db-9fb8-ece5b303f36d","resolution":{"observed_at":"2026-08-12T11:44:49.191114Z","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":"2026-08-12T11:44:49.175323Z","title":"A Ge- ometric Analysis of Neural Collapse with Unconstrained Features, May","venue":null,"work_id":"076f824c-6661-46bb-9aa2-f92c452b8aaa","year":2021},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.045149Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:d4bcf11ba2cf8b60951ad36e18e69f0a18d291970951cf87069f8b426dc59aa7","observation_id":"7cf0a54c-3525-447f-8b4f-6e9ff5478171","resolution":{"observed_at":"2026-08-12T11:44:49.179238Z","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":"2105.02375","last_updated":"2021-05-06T00:00:50Z","snapshot_observed_at":"2026-08-18T00:53:46.864234Z","submitted_at":"2021-05-06T00:00:50Z","title":"A Geometric Analysis of Neural Collapse with Unconstrained Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.02375","snapshot_observed_at":"2026-08-12T11:44:49.048203Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.048203Z"},"links":{"cited_paper":"/paper/2105.02375","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:94d41cfc2521785524b20faa85b46ec4e824d121292d1a066326d67e7c0d5ed8","observation_id":"425bec2e-3798-498c-9846-779d6cb76ff7","resolution":{"observed_at":"2026-08-12T11:44:49.048203Z","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":"2026-08-12T11:44:49.163632Z","title":"For a least squares problem of Ax = b, the projection ma- trix is P = A(A∗A)−1A∗","venue":null,"work_id":"e4f7b6f8-1296-4173-afa2-3b1a6f6b8439","year":2012},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.051856Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:c8d5ce0135b1b7e87b5725ddcb95e3bc3a68ef5859c1da9f12f37970f3c89b5c","observation_id":"488f778d-4bf3-46e1-b16a-b1ebfab6222a","resolution":{"observed_at":"2026-08-12T11:44:49.167538Z","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":"2026-08-12T11:44:49.392392Z","title":"Multiple Features,","venue":null,"work_id":"1debc02f-acdd-4544-9856-c0f9e58608b5","year":1998},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":1994,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.965553Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:5d709ddf57eea0d640635943e7b009050be6c471abf38ece29d2ed15d99b1e85","observation_id":"9a90813b-ade7-4f61-8976-121f90bbb069","resolution":{"observed_at":"2026-08-12T11:44:49.396002Z","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":"2026-08-12T11:44:49.426138Z","title":"Re- duNet: A white-box deep network from the principle of maximizing rate reduction","venue":null,"work_id":"9303b7e9-525c-476a-9cb4-9b2619bd78fd","year":2022},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":1998,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.951126Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:c928fd8d995ab498de096a58d0b76cba7fd2ceb6d08e874524b5f3333a3cb1ac","observation_id":"a09ef5eb-5227-462b-837a-2f774db66d03","resolution":{"observed_at":"2026-08-12T11:44:49.430044Z","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":"2026-08-12T11:44:49.403836Z","title":"A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning, October","venue":null,"work_id":"110f0693-103c-4f83-bd8f-d1261eb51ebd","year":2023},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.958367Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:bb926295df89e2a85a3ee6c8cc08091276af3bdeb11638e5b275071f45b9a65f","observation_id":"fe6086ac-8553-48f2-b387-501929a3d1f4","resolution":{"observed_at":"2026-08-12T11:44:49.407741Z","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":"2026-08-12T11:44:49.268422Z","title":null,"venue":null,"work_id":"ced63f66-aa29-4dab-a7d0-4936d0f1a15d","year":2020},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2007,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.004832Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:072080e596332893da689a20c8e8648ca92e8d8b3566b847085d11b1b146075c","observation_id":"05ee5845-9d9f-43c0-a9dd-3d0d23ee8099","resolution":{"observed_at":"2026-08-12T11:44:49.272147Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:49.310507Z","title":null,"venue":null,"work_id":"ca8f4e94-ad6d-4260-932c-8ae536919968","year":2012},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.992291Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:82566d520a1626fb6f5130e0bc146d40dcf7078dc47be6c7d4d3fc5d6794c638","observation_id":"7b69ee02-8009-4aee-9815-93270f6eaed8","resolution":{"observed_at":"2026-08-12T11:44:49.314362Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:44:49.356204Z","title":"Haeffele, Chong You, and Ren´e Vidal","venue":null,"work_id":"5805f767-16a6-4e50-9ec0-436d81e67983","year":2021},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.975543Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:0a70cd71aa53b7b4a0bf9965150892c2350c71155269f09d05d993c705afdb53","observation_id":"7d46841a-9577-415a-9a33-f61a89997007","resolution":{"observed_at":"2026-08-12T11:44:49.359832Z","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":"2026-08-12T11:44:49.321892Z","title":"Human Activity Recognition Using Smartphones,","venue":null,"work_id":"f1cdfeb3-872d-4780-be99-04efc79b6402","year":2012},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.989122Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:911c956558559cca9104a55a2e3dc1cf81a23299e281d79a864c0a67241ea349","observation_id":"50c3b8c9-7d8a-42a4-af37-3ff007f1e3fa","resolution":{"observed_at":"2026-08-12T11:44:49.325565Z","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":"2026-08-12T11:44:49.279722Z","title":"Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression","venue":null,"work_id":"b9c197c9-9e04-491c-9122-e96c6d8c6a10","year":2007},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.001573Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:3650dd44e1525f795b208084480418db90eb9b3a32be794cd0b466598ee5ecd1","observation_id":"78f21017-0331-491b-be23-26a1bd4f4d7d","resolution":{"observed_at":"2026-08-12T11:44:49.284172Z","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":"1810.10984","last_updated":"2019-10-01T11:29:52Z","snapshot_observed_at":"2026-08-19T14:44:09.620448Z","submitted_at":"2018-10-25T17:18:11Z","title":"Improving the condition number of estimated covariance matrices","version":4},"cited_work":{"arxiv_id":"1810.10984","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.10984","snapshot_observed_at":"2026-08-12T11:44:49.114598Z","title":"Improving the condition number of estimated covariance matrices","venue":"math.OC","work_id":"4f9dc873-7f57-4229-b30c-159d519ce0f6","year":2018},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.021286Z"},"links":{"cited_paper":"/paper/1810.10984","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:3b72022a84df324e11e799d3dcb2bddf088faff8faa2dd66b793c34e1d1bdf2f","observation_id":"849bf08a-bf2b-4519-b525-30dc063a133f","resolution":{"observed_at":"2026-08-12T11:44:49.120725Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-12T11:44:49.257097Z","title":"Deep Sparse Subspace Clustering, September","venue":null,"work_id":"84a569a1-33de-4665-ab08-b4c969c2dabc","year":2017},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:49.007951Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:4899837b86703c81a209ccb5889bb749264f6d8a0589d6f317f8bff9949c4463","observation_id":"15791c69-2f0d-4d3a-8119-1f95f96162d5","resolution":{"observed_at":"2026-08-12T11:44:49.260951Z","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":"2026-08-12T11:44:49.368193Z","title":"[Goodfellow et al., 2016] Ian Goodfellow, Yoshua Bengio, and Aaron Courville","venue":null,"work_id":"9de47c32-edbe-4d36-b662-7ce72c20de59","year":2016},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.972310Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:04a831b6bb5f63e7960e1d0e4c1c0e8ac35c68588e83536e03adc42824c3b3d2","observation_id":"961cb791-628e-4a6b-b5df-b95115d56f46","resolution":{"observed_at":"2026-08-12T11:44:49.372798Z","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":"2026-08-12T11:44:49.415163Z","title":"[Cover and Thomas, 2006] Thomas M","venue":null,"work_id":"5fa2c400-6e7e-4447-bf30-d94d800bdfab","year":2006},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.954646Z"},"links":{"citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:89b9ee0c8fd576e05c39403f32ec5f9dccca93d9a3d12fcf85a413047d70f235","observation_id":"ead02074-36ca-448b-afce-ceceb68925a0","resolution":{"observed_at":"2026-08-12T11:44:49.418814Z","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":"2310.18988","last_updated":"2023-10-29T12:05:39Z","snapshot_observed_at":"2026-08-16T14:47:54.512076Z","submitted_at":"2023-10-29T12:05:39Z","title":"A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18988","snapshot_observed_at":"2026-08-12T11:44:48.961883Z","title":"[David Chapman, 1994] Ajay Jain David Chapman","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T11:44:48.961883Z"},"links":{"cited_paper":"/paper/2310.18988","citing_paper":"/paper/2411.17961"},"observation_digest":"sha256:a0c6cd65fa2352cf395c1ddf120fb51af3a867523812b7eac77885be01eca6e8","observation_id":"37d494aa-f891-4533-a94e-768fce59f061","resolution":{"observed_at":"2026-08-12T11:44:48.961883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.17961","last_updated":"2024-11-27T00:37:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T19:02:24.995817Z","submitted_at":"2024-11-27T00:37:12Z","title":"ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":32},"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 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.17961."}