{"as_of":"2026-08-14T06:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7892f271cdca908638d200a99f88918f0b41a2c717551c592cd5609ec5219b7e","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T18:40:44.293816Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2606.19643/citation-record","integrity":"/paper/2606.19643/integrity","json":"/paper/2606.19643/citation-record.json","paper":"/paper/2606.19643"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T18:40:44.293816Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:39913c70f29f937a0993e8d7e162c8e2514e922b0ce3e04429dc2988a8bb328a","observation_id":"fb06e796-38fc-4af7-82b9-16ae5a9db0a2","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Brendan McMahan, Brendan Avent, Aur´ elien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:d878cf1d94b85d2906e74938b7e62fc948758c65f452bd213918ff680aae93bd","observation_id":"6c7f9332-ac6d-45b7-98f3-3a2be6d360fa","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Federated learning in a medical context: A systematic literature review.ACM Trans","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:6a69187150c89bb761c0ac8412469d6ce36808c96f796044bb29b49f0495db12","observation_id":"fc86993a-9dbe-4c0e-a250-62165a05c389","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:23ce07c708ff323d27cf1a5937b9c503634f572bb82495dfdc3d3005219514a2","observation_id":"d1554458-7a67-4c10-8acd-cfab15182819","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Overfitting bayesian mixture models with an unknown number of components.PLOS ONE, 10(7):1–27, 07 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:8dc7bf039f49e0e737b9901d18bed8b96cd3dd112496cc36bbb2c5ed0105b994","observation_id":"4df4ef7a-91e8-4740-854f-b5e6195ec7a3","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Scott, Alexander W","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:087e83dc8f7e5a68236f75a9ab9d328b88801080b6f192b3a9bdc83d245f22a8","observation_id":"a2745a4a-3701-4c47-9ec2-6094e855856d","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Bayesian nonparametric clustering for large data sets.Stat","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:8b51a364b3e8bf5c6cdec8408bba787051058602f1ed2f9af62dec1e7b5bf4bc","observation_id":"e6df8cdb-9bba-4e4b-90ed-0c41b21bbd40","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Scalable bayesian nonparametric clustering and classification.Journal of Computational and Graphical Statistics, 29(1):pp","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:b0af135795f11b6533ba73a8de88372d6788333c33a4e406d1a2cee229e66b45","observation_id":"2fdd41d2-f445-471f-8342-a6f5e468c50f","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"A distributed inference algorithm for dirichlet process mixture models with exponential family components.Neurocomputing, 653:131119, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:75ec3e2f8c220cea6060d23247ad4085e1851279625f409f9637bc832bb675cf","observation_id":"ae289441-30a4-422f-8bbb-98f4fdaa29c6","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Crowe, Tom Marshall, Sylvia Richardson, and Paul D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:65579ce20fcd9592d3d846dff7bb272e5cd9965d4964731c67d1084337c7cbaa","observation_id":"5c34c529-a208-4097-86ec-2ab8d2c428f6","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Kullback and R","venue":null,"work_id":null,"year":1951},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:3e60ed07298168c389b79bf82eb3d4b12c955b683f9ced479cca92c123b4e582","observation_id":"532979a4-106b-4e3f-ac5a-1f681f6e1499","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Efficient projections onto the l1-ball for learning in high dimensions","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:81b8614e9957b570f998bd7fa231ffe18bacc5f300531308c2259113ad2a8dc1","observation_id":"aea949ab-e17e-429b-84f1-877b228f0a58","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Mckay, Richard Beckman, and William Conover","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:f4b23df0d81b32e6c204d4b91aceba081c8f4489ac3de947f5e3a1619a04ab13","observation_id":"c157fdc5-e5bb-4923-ba14-8757767673b5","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Remarks on a multivariate transformation.The Annals of Mathematical Statistics, 23(3):470–472, 1952","venue":null,"work_id":null,"year":1952},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:fde0e214b39bb26da01919f7d40eff4a3fadbfd5b8f776a4eafc17877e1f920f","observation_id":"400836cb-a75e-4462-8eb6-1f6e8815ff33","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Construction of uniform designs on arbitrary domains by inverse rosenblatt transformation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:689488227457d9aeca7f006782503eeda872d50bc79acef2d0d3e65c99a54748","observation_id":"82393380-2822-4732-a200-d18783f49ae9","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Dealing with label switching in mixture models.Journal of the Royal Statis- tical Society Series B: Statistical Methodology, 62(4):795–809, 01 2002","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:ff6a233694f790fa727439505899af193a72718ccd7d7fa2ce9623636339ef47","observation_id":"92cd1391-3f19-498f-82ec-c1c817a86325","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"On posterior contraction of parameters and inter- pretability in bayesian mixture modeling.Bernoulli, 27(4):2159–2188, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:517acd7dd0aa0a5b28952d44208e87b5fb6bc5e5cdd0b82ef233981d0290cad8","observation_id":"b8763130-c186-46d4-aa03-7089ff01067d","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Convergence of latent mixing measures in finite and infinite mixture models","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:9f3400372f97b896abf4f9fc02018fe2ddd7007750b40cdd47e4764432915d62","observation_id":"4a4ff948-e354-46de-8600-45220665ee64","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"On strong identifiability and convergence rates of parameter estimation in finite mixtures.Electron","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:ae9a826d468ec12594b670638e9aa3a8e0b76ca899e9d0d7726256d0bff3e0f8","observation_id":"61501f4b-8679-457b-b592-f5c467d71c80","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Comparing partitions.Journal of Classification, 2:193–218, 12 1985","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:3b08e7150c57b39328fd1917f3d4ad53c82782278a11ea872f5f3d4435dc630a","observation_id":"2447e807-a10c-4333-96ae-678f91e342d8","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Federated k-means clustering","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:1b7cb3051841c46e7b5dd47720d1a0f94c4b7f2c08a68f78d5b670ee573cd8d5","observation_id":"7cf54e9b-02fc-484e-978e-9c2eb6226431","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Comparing clusterings by the variation of information","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:4606ee6ed26a82603bd3c256e204212bb07bb9fe3c48d4b93f1999cada038c4e","observation_id":"0fc6a39f-0a8b-424a-be30-69cecc6c787e","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Blei, Alp Kucukelbir, and Jon D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:aca1ba93ba9e91bd32a6bc903942c3c5dd87982b937307fda6eee3077d5f9a77","observation_id":"da7fb500-38ee-4e12-8aaa-e2996ac462f3","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Hastie, Lamiae Azizi, Michail Papathomas, and Sylvia Richardson","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:f3dd195c68491be3781276640bba27a8234af2ff293c6497939311d2efc152c6","observation_id":"ced81cbd-2b7f-488f-9685-979a2be7d8cb","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Feasibility study and methodology to create a quality- evaluated database of primary care data.Inform Prim Care, 12(3):171–7, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:34a53d4314e294accc59cfb3bc14f267b2bd7a2334ab28bd70fa3033386b3dbe","observation_id":"55dfc109-1b44-4e79-a809-b1b7b3188759","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Lewis, Rita Schinnar, Warren B","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:acff8463a1db4886023d4631f3a57f288ab02e2ad77bfbe29db6512af51002f3","observation_id":"18befa18-504b-4266-a66a-6e7d3e3a1d5f","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"McGurk, Chang Lu, Antonio de Marvao, Wenjia Bai, Brian P","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:cb5dbad12270ddf5827c3ac67170e5fdeff0dfc37f871af3c9520ce35b60b1d5","observation_id":"078c1985-2ad7-410d-b8b5-82cf3170aba5","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Maxineanu, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:3abec6053d9719dc16b525c0b30381a825bc8f3a9a621ac36b28852553b9d0ee","observation_id":"6de5dbc8-79af-4817-b133-fe9685c848cc","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Health survey for england, 2024: Adults’ health-related behaviours and health status","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:082d6e607e91d333caa6c59fd8465ac19b29c8d5537553e3f22a9a552ec7331f","observation_id":"080a51e0-b2eb-4c19-9765-fb2c08f763e0","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Increased risk of acute pancreatitis in patients with rheumatoid arthritis: A population-based cohort study.PLOS ONE, 10(8):1–11, 08 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:1200b1c24dcc5fa5d44917d3d215ddb1407c3ede257b1d43af9a4f6d75ef09a7","observation_id":"789fb2a6-af8f-4b2a-a50b-4d49e47b2382","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Wilton, Sara J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:4008c6013edaa4325d2773a373b50d70217d888ee8b2d02810da009c9b6080b5","observation_id":"9cbab8f6-0d40-42d7-906e-00fd649a2395","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Prospective evaluation of sexual dysfunction in men with chronic pancreatitis: A pilot study.Pancreas., 53(2):e187–e192, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:367c738268102021480200f961b251c577bdb6e2419ff68f001838ea52757633","observation_id":"db81f04d-7f44-483e-b274-58e076158daf","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:b22cdc5f48c0fe2ccf2fddab99a2aa0cb7f96aafc4429e13f169f1bc7e61a6cb","observation_id":"eb024393-22bd-466c-beb9-db3f776105fb","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Effect of intensive vs standard blood pressure control on probable dementia: A randomized clinical trial.JAMA, 321(6):553–561, 02 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:36e3cde3ae5e72f149148302ca7f57e301371f8c80f01ada9a3ac443b28b25b4","observation_id":"5e67668f-ea4b-451c-b45b-14c8ef4f88a9","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Nathan, Joan A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:15f46d9819b3af4c95fe3532c019bd473febb9e4d3d29382d7c761f0482e1f4c","observation_id":"932ff954-289b-4aff-8409-a727ac22eec6","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Dementia prevention, intervention, and care: 2024 report of the lancet standing commission.The Lancet, 404:578–608, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:4bbe068f26108c838806fa83b75f3c428a5715762e12f1d66b41e415f2024cdb","observation_id":"57f07040-f65f-402f-a90b-547397d6cd86","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Associ- ation between hypertension and impaired lung function among adults: A systematic review and meta-analysis.PLOS ONE, 21(4):1–49, 04 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:09ca877ae09adbd92e1ca075d41d6cf2f311f98766b96404f787f850d5550e12","observation_id":"966bdb91-c62f-4cec-a754-91d569230d4e","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","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":"2026-06-26T18:40:44.293816Z","title":"Consensus monte carlo for random subsets using shared anchors.Journal of Computational and Graphical Statistics, 29(4):703–714, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-26T18:40:44.293816Z"},"links":{"citing_paper":"/paper/2606.19643"},"observation_digest":"sha256:031805edf0f666fe08cf96d2a4996fb22b62967ea89dc7c56b95873ec191b511","observation_id":"03b27f89-aee9-4e50-95e5-1413033b5983","resolution":{"observed_at":"2026-06-26T18:40:44.293816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.19643","last_updated":"2026-06-17T22:48:43Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-06T13:33:29.136236Z","submitted_at":"2026-06-17T22:48:43Z","title":"Variational Consensus Monte Carlo for Bayesian Mixture"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":38},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.19643."}