{"as_of":"2026-08-11T06:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b65ec074d37deb73620a336d3b945afee8f0921397c8dd5c388d5619d533071","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T08:53:36.843369Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2606.11887/citation-record","integrity":"/paper/2606.11887/integrity","json":"/paper/2606.11887/citation-record.json","paper":"/paper/2606.11887"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T08:53:36.843369Z","title":"Communications in Statistics-Simulation and Computation , volume=","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:9d33c89f974c2243b76a2a29a3da288227c9ac58bc767041b935d79c79bc50b5","observation_id":"8c8a8b41-5222-410a-b14d-e9148071140e","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:05b7889db0e69f1c68a424db9199593f37a1c7d0ad115813d6a1de1649f88c11","observation_id":"f8c2eba6-0659-41d7-8738-a615aa260e5b","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:fae34daa6dab154e31e315a9248868da6aec4cc86c0cc11620d1164107bb6671","observation_id":"3e021229-c51c-499d-99c3-88be55a94472","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Simple exponential family","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:deb247a3715388094b9ee60647460d9afe8163d4e425965714942c8ef7c62539","observation_id":"97318005-e181-4a09-b439-340fa24bbfb2","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Biometrika , volume=","venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:2007e54c0210e63a1c51023d6513537b10c962bdb0b5bd68265afb0af345f718","observation_id":"12e8c94b-b0d5-48e9-bd20-ce33a14a05a8","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Statistics and Computing , volume=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:74bce9252e004775dbca01461a40344d81766a0002afa05338ae8ff1609a08ce","observation_id":"6586629e-8ae4-42c0-954c-ec86c8306b99","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:c696d306c30587d1b77e9157f9a0d98280cfd38b171e3a4a8b7ce0b5545068e2","observation_id":"14d89b47-e0ed-4da7-9999-56efdbe35ff8","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2025.105587","doi":"10.1016/j.jmva.2025.105587","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A method for sparse and robust independent component analysis , journal =","venue":"Journal of Multivariate Analysis","work_id":"5193656a-38d2-4094-a2ad-e08ecdb1650e","year":2026},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:a584e770cb19c1e9f9efdf23030c87cf065aa9c5bd444ac951344d2cf721f500","observation_id":"409dfa62-780a-45a3-bad1-358288ae9ada","resolution":{"observed_at":"2026-06-27T10:30:52.097732Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-27T08:53:36.843369Z","title":"Journal of Computational and Graphical Statistics , volume=","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:f2bee25933005033007f90e8437f4c0cf823f302403f5245e426363101f1a96b","observation_id":"446988be-a4e4-4941-90b8-44fd8ea0c5c7","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:9058312ff4a2a33860d233d8b595179005986f8c2cec274da5800761a80df77e","observation_id":"af5a8bfa-644a-442e-ba80-e8c4f668faa3","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"1990 , howpublished =","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:a96b865c8352864f47474871ee2fe3f051f583c46968e749939e85ef1f729595","observation_id":"a9d9cd56-eda4-464d-aa79-79c3a5773a97","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Chapel Hill: Carolina Population Center, University of North Carolina , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:7f1151a5b8655255235fb6c01918f27a0c81c4f81d376f882c782d21dfde0dac","observation_id":"46c8f2b6-04de-4951-ba40-9b37033770ea","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Advances in Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:aafce99937a4552d572a2d3f75d321f080f51621a9af2d30a4f2cc58b5f0ea56","observation_id":"dac34a59-fdad-44bf-baf1-1b96f471e5eb","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"1459.2021","doi":"10.1080/01621459.2021.1874961","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Graphical Models for Processing Missing Data","venue":"Journal of the American Statistical Association","work_id":"cedbb8cd-4355-4661-9d7a-1d12a91d0dd9","year":2021},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:d6a2216338890102cf9905d52995826dd7a4e6e81e35ae84487c8e42562baf6f","observation_id":"843c8df0-03a6-41ef-9e8e-b503bcdd9d62","resolution":{"observed_at":"2026-06-27T10:30:52.092487Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10001","last_updated":"2024-09-16T05:17:48Z","snapshot_observed_at":"2026-08-02T23:41:38.382730Z","submitted_at":"2024-09-16T05:17:48Z","title":"Generalized Matrix Factor Model","version":1},"cited_work":{"arxiv_id":"2409.10001","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.10001","snapshot_observed_at":"2026-07-03T12:38:07.942777Z","title":"arXiv preprint arXiv:2409.10001 , year=","venue":null,"work_id":"d07ea23a-090f-46d5-ad61-5fb0c4fa5d77","year":null},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"cited_paper":"/paper/2409.10001","citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:2443b9ef7ea521362a5e38cb58500722d22622b942b93f1ea17bd67019abb8b4","observation_id":"f3594d6d-61e0-4081-9ffe-81bfb530d4d9","resolution":{"observed_at":"2026-07-03T12:38:07.944378Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-27T08:53:36.843369Z","title":"Psychometrika , volume=","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:c836d02bc8b876048f2b2b2ddd08df57cc8ee866536f85f217676d1468dda3bd","observation_id":"e331f476-4202-4990-948a-2d26985ae232","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"10.1093/biomtc/ujaf065","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Biometrics , volume =","venue":"Biometrics","work_id":"96ad9d29-2072-4753-95af-76a788e7860e","year":2025},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:7e1b42ba2393589d89d80c13814db3926d975bea83e3924a758a06787c8d3331","observation_id":"6788a8db-b236-4d3a-bc05-4cb99697c5be","resolution":{"observed_at":"2026-06-27T10:30:52.099523Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.107822","doi":"10.1016/j.csda.2023.107822","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Online missing value imputation for high-dimensional mixed-type data via generalized factor models , journal =","venue":"Computational Statistics & Data Analysis","work_id":"aa9dab51-e874-4162-9b7d-feeb6d5acaae","year":2023},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:9ae487c870edb07869a27f5393920d049f187088466256759901e0e7433a9b46","observation_id":"2e92ca29-bb6d-4fe4-83ed-caeaba68a794","resolution":{"observed_at":"2026-06-27T10:30:52.095109Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-06-27T08:53:36.843369Z","title":"Science China Mathematics , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:f2a5c2bdf9900b6bf9d308b806197a8bd6dc9b71efd920907a32329606392343","observation_id":"ea220ef9-058e-498f-9a25-737debc5ea1f","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"The multivariate","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:ca814d29dcdfc7fdb09c3a4d9a40166005b7e26541b10283c695411d7f65de46","observation_id":"ddd885c8-d0f3-4ae8-8642-71b0f2c50ca5","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Multivariate analysis of mixed data","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:f1f7217128532dbb7f49fe8c3fe20ab78fe340e69fd393824b85efb765cf892c","observation_id":"51b30b71-6753-42eb-af57-404ac7e3ddf0","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Biometrika , volume=","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:907466a73d8c63426eb9a3d243563ed884d568955fb2332b4ee88f4fcbd57a17","observation_id":"723328d6-a7cd-4d95-bd31-7697aa1a01de","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Biometrika , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:0bae13461a844628139ac0682b9d9745d8a96b93882bb2f1057b35feba0f5380","observation_id":"d6205c5e-3538-420c-bacd-ba4898d0ac64","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","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":"2026-06-27T08:53:36.843369Z","title":"Bioinformatics , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-27T08:53:36.843369Z"},"links":{"citing_paper":"/paper/2606.11887"},"observation_digest":"sha256:43883aa32ab046f7f4a2eca35a04d3ff7fc922ddeac0b6a80a29419ea78637ed","observation_id":"e36a6a6b-3c3b-49d8-90a8-dd87653fe5c1","resolution":{"observed_at":"2026-06-27T08:53:36.843369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.11887","last_updated":"2026-06-10T10:19:38Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-08T10:45:29.897159Z","submitted_at":"2026-06-10T10:19:38Z","title":"Model-based sparse mixed-type PCA"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":19,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":24},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.11887."}