{"as_of":"2026-08-19T12:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed6c06daf095b77e54dcaadf13742bccc05da8ff7b34acabcf4ec012ad4cc94c","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":"2026-08-14T13:03:02.073652Z","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":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.05968/citation-record","integrity":"/paper/1908.05968/integrity","json":"/paper/1908.05968/citation-record.json","paper":"/paper/1908.05968"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:03:01.951077Z","title":"Principal component analysis,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.951077Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:be00e1f531e2670cf2cd1812a725a674f18517d42e0d760db2ee0666ecc611d6","observation_id":"46f1c31b-8cc9-457b-8d14-1afac0daaac4","resolution":{"observed_at":"2026-08-14T13:03:01.951077Z","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":"2026-08-14T13:03:02.583942Z","title":"Deep clustering for unsupervised learning of visual features,","venue":null,"work_id":"01c82d04-835f-46ed-9de7-b080bc78a0e7","year":2018},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.955549Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:7901358bf1c2c9671013782f03ef2364fcf2b04b4408c0baba25d2d07cc16810","observation_id":"9fcfae53-8e98-4d84-97c4-f27eb3a734a2","resolution":{"observed_at":"2026-08-14T13:03:02.587499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.571893Z","title":"Deep adaptive image clustering,","venue":null,"work_id":"38ca74a8-4848-48bd-aa03-e4544c35bde1","year":2017},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.959902Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:e46f1caacad82d85a7f4c7736c76b300fe4dd46fc902b9098592e6c8a6c96f83","observation_id":"e6b17198-d500-4dc0-9d48-a75cb8c2a860","resolution":{"observed_at":"2026-08-14T13:03:02.577047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:03:02.344720Z","title":"A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise,","venue":null,"work_id":"8a9f4dc5-d010-4dc0-825a-2187c937990a","year":1996},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.963432Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:676ecda7f63e728a48b63f83851815ea2f1a27740e5d51076f75c0ffb234a30c","observation_id":"fbce7509-04cf-4743-a0c5-1dc3762918bb","resolution":{"observed_at":"2026-08-14T13:03:02.349609Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.560627Z","title":"Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization,","venue":null,"work_id":"e59a3d7c-d093-4c98-8564-350324d3da94","year":2017},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.968000Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:613de09f65e020ba619770b1f2fd44f758181936ee49abe69f4f86f9205ffe0f","observation_id":"740d069e-2b8d-4b4d-a979-06c7a7eaae24","resolution":{"observed_at":"2026-08-14T13:03:02.564653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.549034Z","title":"Adaptive self-paced deep clustering with data augmentation,","venue":null,"work_id":"69089651-b07f-4d70-aa20-e82c4c4c3924","year":2019},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.972587Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:7d6373e5338bfb26eda7b4988f1616b2454322208b02022b4ff57bbcbb3d292a","observation_id":"ef4e66dc-810a-4964-a045-4b5cecc67ef8","resolution":{"observed_at":"2026-08-14T13:03:02.552688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.538831Z","title":"Improved deep embedded clustering with local structure preservation,","venue":null,"work_id":"05f7c225-133f-4e9f-a969-fe3672860fe1","year":2017},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.978131Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:c84e87ab8cacd0899721564d792efdc929ca63cd382c0affff7e3aa840132b9a","observation_id":"28df1854-4763-48a7-b5f6-ca12097befc4","resolution":{"observed_at":"2026-08-14T13:03:02.542066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.529054Z","title":"Word re-embedding via manifold dimensionality retention,","venue":null,"work_id":"ee451821-d914-4d19-98db-309a7d915db6","year":2017},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.981904Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:08d7cb395ab0d6f0d527c04035a54a52d389d136f709aa0cb3db4bd52a8d9b6d","observation_id":"78203f93-8c3a-43de-865b-8bfc8640bb57","resolution":{"observed_at":"2026-08-14T13:03:02.532236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.517653Z","title":"Word embeddings as metric recovery in semantic spaces,","venue":null,"work_id":"8f09d792-3555-4ae1-9826-2e6a4a973256","year":null},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.985815Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:ac6f9c07e87f5572b047b737648669ec4832a103b6628d9dbae94c62245cd704","observation_id":"1636af1b-9da7-49e6-a49e-a7bffe7aad93","resolution":{"observed_at":"2026-08-14T13:03:02.522013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:01.994213Z","title":"Independent component analysis: algorithms and applications,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.994213Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:625938cfadb862722613d1dadd30b8c8d37b6894e2ee7378dd1d84b9fe600cd2","observation_id":"df131750-712f-4084-8cc8-37a3bb668206","resolution":{"observed_at":"2026-08-14T13:03:01.994213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04246","last_updated":"2019-12-15T23:28:05Z","snapshot_observed_at":"2026-08-14T18:17:05.569636Z","submitted_at":"2018-10-09T21:17:09Z","title":"Deep clustering: On the link between discriminative models and K-means","version":2},"cited_work":{"arxiv_id":"1810.04246","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.04246","snapshot_observed_at":"2026-08-14T13:03:02.300165Z","title":"Deep clustering: On the link between discriminative models and K-means","venue":"cs.LG","work_id":"5ffc18e4-0b09-4da9-8c00-87bc61932af1","year":2018},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.998030Z"},"links":{"cited_paper":"/paper/1810.04246","citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:855c1c304a4fb9aa643645f8303c1dbf5229b11d27c90ba76c0a776a525b0897","observation_id":"92542da7-e328-41bc-b4b7-a7a3dabb2bc4","resolution":{"observed_at":"2026-08-14T13:03:02.304432Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.489480Z","title":"Data clustering: a review,","venue":null,"work_id":"253618db-8186-4cde-ad31-7e9127f96d97","year":1999},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.002790Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:efc1d6445ea6a7d32c5e79942380a899cbf693ca898711420d15eb688bae0039","observation_id":"06b6963e-f277-4307-81ea-7cc7e2ed9c4c","resolution":{"observed_at":"2026-08-14T13:03:02.493274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2077.31721","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:03:02.280388Z","title":"Variational deep embedding: An unsupervised and generative approach to clustering,","venue":null,"work_id":"8b18d4a9-ba6a-42fc-9a4c-b3dd36b33031","year":2017},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.006460Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:00e89e2dd567cbc5f698f9933947a2f86bfb3e1003b28c57c0ec960a2f353591","observation_id":"41eed269-6d4e-4224-90ec-26424971cf1d","resolution":{"observed_at":"2026-08-14T13:03:02.286838Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.009787Z","title":"Hierarchical clustering schemes,","venue":null,"work_id":null,"year":1967},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.009787Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:5e517755ce23158ec5ee4d97111a612eacae7394383a49379033994225e20c38","observation_id":"ed523843-4364-4a4d-b891-bee4bb73477e","resolution":{"observed_at":"2026-08-14T13:03:02.009787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T13:03:02.013107Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.013107Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:57954d0081f4fbaf84201719d8feeca8624acda7c97e8f9cbd3b2da212bd0e55","observation_id":"0f51715e-1404-473d-b297-dbad2b39e6cd","resolution":{"observed_at":"2026-08-14T13:03:02.013107Z","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":"2026-08-14T13:03:02.472472Z","title":"Discriminatively boosted image clustering with fully convolutional auto-encoders,","venue":null,"work_id":"67115480-95f0-4bad-82db-459bc2d0fe56","year":2018},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.016690Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:5462b4597868855f52a471f796c800fa168e45415072cad5c46eeea2b3d45085","observation_id":"2a0e5c7b-b5c6-4667-87e7-c508abde6eeb","resolution":{"observed_at":"2026-08-14T13:03:02.476348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.461877Z","title":"Least squares quantization in pcm,","venue":null,"work_id":"4d1cbdd4-6655-4c2c-8677-44bb596afa8e","year":1982},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.020664Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:3013b18eab55b1739be9c09acbd7ec6f8c2b6125a1556053fc89aaa440f306b9","observation_id":"d362a1cc-00b3-4b32-8f9e-a1cb4349f5af","resolution":{"observed_at":"2026-08-14T13:03:02.465603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.023794Z","title":"Visualizing data using t-sne,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.023794Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:539c633ddf5634dd006fd6230a1b952a51fbb4ca9ea4dd98bdf141c4740940c0","observation_id":"e488276a-2f0c-4776-97e8-9f8f7568b989","resolution":{"observed_at":"2026-08-14T13:03:02.023794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03426","last_updated":"2020-09-18T01:56:41Z","snapshot_observed_at":"2026-08-02T15:32:07.466568Z","submitted_at":"2018-02-09T19:39:33Z","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03426","snapshot_observed_at":"2026-08-14T13:03:02.027102Z","title":"Umap: Uniform manifold approximation and projection for dimension reduction,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.027102Z"},"links":{"cited_paper":"/paper/1802.03426","citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:46b491fe6da7fd41351587c292690f503f8b6a76ce2c3f781839eef2d892fd60","observation_id":"6b2398c8-7715-4d0e-940b-52c7dd2ced20","resolution":{"observed_at":"2026-08-14T13:03:02.027102Z","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":"2026-08-14T13:03:02.444935Z","title":"Clustergan : Latent space clustering in generative adversarial networks,","venue":null,"work_id":"7ff86e0f-1a4e-4bb6-8637-e9de84ca20d2","year":2019},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.030466Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:8b5cef44bbfca78a29d78edf7b8019e095b81e3791a1f3ac42e7be8e6b5a19b5","observation_id":"e6bf7088-d29e-418d-b00d-f73adad326de","resolution":{"observed_at":"2026-08-14T13:03:02.449360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.033330Z","title":"Rectified linear units improve restricted boltzmann machines,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.033330Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:c42a6a0c0c6386e04020d76fe205388c211a27a5fc0058e4dece2e6d30e2bfd4","observation_id":"1f439358-1c85-44c8-a519-d6ebb404ebb1","resolution":{"observed_at":"2026-08-14T13:03:02.033330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:03:02.036844Z","title":"On spectral clustering: Anal- ysis and an algorithm,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.036844Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:4a2248dee83cae79ad8910f4c401cb01694aca51f8d5ecbef074b9587391f60e","observation_id":"3d16ecbf-c454-4356-ab76-49963d697c76","resolution":{"observed_at":"2026-08-14T13:03:02.036844Z","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":"2026-08-14T13:03:02.429226Z","title":"Gaussian mixture models,","venue":null,"work_id":"9158a241-d8f8-4435-8cb3-9fcb15f6adbf","year":2009},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.039988Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:3244da42c6832b137d972e51ad5d2b8ef6219a8b5740c39abe1c0a60d2597b7a","observation_id":"75ac640a-218e-45c2-a946-48ba6e319ee4","resolution":{"observed_at":"2026-08-14T13:03:02.432591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.042889Z","title":"Nonlinear dimensionality reduction by locally linear embedding,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.042889Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:bb41d8205319d47bade3beb509ffb84ec96f36cf7184393f3083fd4b014eebd7","observation_id":"0962245a-6ac2-4c84-beb1-64282cb7a117","resolution":{"observed_at":"2026-08-14T13:03:02.042889Z","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":"2026-08-14T13:03:02.414634Z","title":"A global geometric framework for nonlinear dimensionality reduction,","venue":null,"work_id":"31f87f23-6e52-4621-8c22-f5ea01d2f2f1","year":2000},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.046154Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:81e3c6e005ec09411c23b3498e80c551aa3fc69f842be03519e5786520857dd3","observation_id":"443a7f30-ee5a-45bc-83d4-7c20fa5a2aa9","resolution":{"observed_at":"2026-08-14T13:03:02.417712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.404458Z","title":"Recent advances in autoencoder-based representation learning,","venue":null,"work_id":"10d4bc90-c899-4385-ad9e-f4a561322148","year":2018},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.050805Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:f3e202792e1f35318989713975fa5874a983ce7728c5527c5f8c269805039ac3","observation_id":"d8d29441-ecf8-4819-9b40-b1468efdf415","resolution":{"observed_at":"2026-08-14T13:03:02.408228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.393306Z","title":"Locally embedding autoencoders: A semi-supervised manifold learning approach of document representation,","venue":null,"work_id":"38e8f314-1530-4bab-9b6c-e4a647bff3d7","year":null},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.054646Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:0145b815a41f468d77ad82918338398b3cd0e685a62ce7dddd717f1534cebb25","observation_id":"cef78a41-f248-4591-b9ad-e932d4fb17a9","resolution":{"observed_at":"2026-08-14T13:03:02.397338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.382623Z","title":"Unsupervised deep embedding for clustering analysis,","venue":null,"work_id":"b315a346-58d7-4dfa-9a72-7b6ca0a6e4c1","year":2016},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.066261Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:41053889894246a2eec3cc354abe3a4780c15360ef4fdc34de770360e5c9ba52","observation_id":"0b8acac7-2c70-4862-b1dd-594fc1c7172e","resolution":{"observed_at":"2026-08-14T13:03:02.386305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0146672","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:03:02.100639Z","title":"Available: https://doi.org/10.1371/journal.pone.0146672","venue":null,"work_id":"190c223c-d2c1-4e65-9eb9-9ef5bdf0c3ba","year":null},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.062267Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:c182558b691b0ff3a51c2cf16359c687d943d236bf7907706b37c3b874532f83","observation_id":"4bbd5e32-9655-4716-9def-8b94d27fa8b2","resolution":{"observed_at":"2026-08-14T13:03:02.106465Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.358210Z","title":"Joint unsupervised learning of deep representations and image clusters,","venue":null,"work_id":"d14fca87-7c76-4762-81b0-5ba905b551f5","year":2016},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.073652Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:058ffa20ae86fcdb44f935e9408db210cf384c10b012ea244ffaba917546845b","observation_id":"725ca8fa-0bb5-43cc-8cc2-e0cf7f444b8c","resolution":{"observed_at":"2026-08-14T13:03:02.362468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.370526Z","title":"Towards k- means-friendly spaces: Simultaneous deep learning and clustering,","venue":null,"work_id":"9306a27d-17f9-4c4b-a145-6fc23d6220fc","year":2017},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:02.069929Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:f649e72992ce5e27ad1ce78c02f76ff950a3dca9ad59e4f9991809775dc5235e","observation_id":"a003cf18-e29a-4102-b362-e4b5df18eb7d","resolution":{"observed_at":"2026-08-14T13:03:02.375026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:03:02.507189Z","title":"Available: https://transacl.org/ojs/index.php/tacl/article/ view/809","venue":null,"work_id":"1b63b402-1af3-439a-b015-e84524597148","year":null},"citing_paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding","version":6},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T13:03:01.989801Z"},"links":{"citing_paper":"/paper/1908.05968"},"observation_digest":"sha256:46a00bd407e0c903da274c3609e59b5e7e3ecbed18aefea1fce797dc2fe5f758","observation_id":"fdc3526d-cc8c-4ef3-8482-0140bda66b92","resolution":{"observed_at":"2026-08-14T13:03:02.510813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.05968","last_updated":"2020-06-30T07:57:15Z","latest_version":6,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T12:57:02.904113Z","submitted_at":"2019-08-16T13:34:18Z","title":"N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":3,"verified_fuzzy":19},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.05968."}