{"as_of":"2026-08-18T17:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:125ab2fdb8e5958ac06977a7818f06b01d1d49ffe5ecebca43ac60ba27c88020","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:09:04.916533Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-11T02:42:43.813877Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T02:45:58.220342Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"cited_work":{"arxiv_id":"2507.11723","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.11723","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2507.11723 , year=","venue":null,"work_id":"b06e7491-582b-427e-a513-d10b88450722","year":null},"citing_paper":{"arxiv_id":"2605.08018","last_updated":"2026-08-05T20:20:38Z","snapshot_observed_at":"2026-08-15T07:37:39.139272Z","submitted_at":"2026-05-08T17:07:10Z","title":"BAMIFun: Bayesian Multiple Imputation for Functional Data","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-05-11T02:42:43.813877Z"},"links":{"cited_paper":"/paper/2507.11723","citing_paper":"/paper/2605.08018"},"observation_digest":"sha256:247d7655dc1a4eb5ea70c4f4a3adbc5cb8837ac77ba7e90e63d9fe9dcdaa7fd3","observation_id":"5fee454c-509a-4632-aa98-84fad76fd561","resolution":{"observed_at":"2026-05-11T02:45:58.224341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.11723/citation-record","integrity":"/paper/2507.11723/integrity","json":"/paper/2507.11723/citation-record.json","paper":"/paper/2507.11723"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:09:14.174684Z","title":null,"venue":null,"work_id":"2e538c68-75b9-4c55-9533-b6666e326b40","year":2020},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:58.414611Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:cbcb1f2cfc3f32cdeff9c1d6d421a9e4012ae71ed7528e05e105dfd69b088f9b","observation_id":"78567b3a-2d64-44bf-8653-8bf1095ea755","resolution":{"observed_at":"2026-08-06T17:09:14.230213Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:14.023582Z","title":null,"venue":null,"work_id":"39abcff0-d322-48e9-bc73-1101657fd1d8","year":1997},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:58.534777Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:29e1ec2bd3c0463ac52be4e9bd8606ac0b99f61010c9c5f5a7d3f1bea797f055","observation_id":"5404fba4-18ef-4bb8-88df-4838661c1e4c","resolution":{"observed_at":"2026-08-06T17:09:14.098017Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.890880Z","title":null,"venue":null,"work_id":"5581283b-22b1-4d26-99bc-5fa85135bcbf","year":2021},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:58.648656Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:93e0e8067f2463639c2e0b193485c66a7bdd658dd6f2fd2c581b7ebbcbbc038e","observation_id":"5afa5bdc-a11c-443f-af36-a4706ac2e429","resolution":{"observed_at":"2026-08-06T17:09:13.958328Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.747960Z","title":"Binder, M","venue":null,"work_id":"6211df97-b2f8-48b5-a2a0-377d7dc2d959","year":2023},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:58.785074Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:9f49a4e56e49d70851548de620735cf8d5a9237389a54ab2db4b0e1a3be9aafe","observation_id":"f7a6c479-b3c4-4b14-9790-930ac2318694","resolution":{"observed_at":"2026-08-06T17:09:13.828098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.566969Z","title":null,"venue":null,"work_id":"2b4a1b5e-d39c-40c2-8b71-1a134b3f8e65","year":1998},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:58.924664Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:ed4b380661700a1c8a42718114bfe21166b92daa6822bbcc5f6bb4abec7506b7","observation_id":"3edcc090-388c-4f38-8e3f-2513333fe237","resolution":{"observed_at":"2026-08-06T17:09:13.640212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.424571Z","title":"Parati, G","venue":null,"work_id":"7233c0b4-a50f-464b-89d1-ac829ad8ecbe","year":1988},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.033690Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:4cdf8b5c9b592b0a70654ba61d2a3ac3908e6782938488dbbbb683f32b78a34b","observation_id":"e4eac0ea-5cd9-487b-82c1-79c336d23588","resolution":{"observed_at":"2026-08-06T17:09:13.501665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.259525Z","title":"Ho, C.-H","venue":null,"work_id":"52717ccd-8805-40a6-a04f-c86aad905d6d","year":2015},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.149286Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:ed428145fb84d354a7f6782136611a30131656279d0c387cf28969613eb5cc9b","observation_id":"227fb7c8-d7e4-413a-bce0-ee0fc705629f","resolution":{"observed_at":"2026-08-06T17:09:13.327911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.146498Z","title":"Mandic, L","venue":null,"work_id":"542e4b95-861f-4496-a391-575281d9e417","year":2015},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.292666Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:18eba6f3edf856fb45246693e87f7a97ada8f16d196c1bb921cef883773a2a4a","observation_id":"81ed8af8-0cb6-47e4-a823-01d7c02d1df8","resolution":{"observed_at":"2026-08-06T17:09:13.204228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:13.022260Z","title":"De Moor, and J","venue":null,"work_id":"d88567ef-dfda-43ed-9ef2-d0e329ac91ec","year":null},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.430807Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:072375ddff6b3f532a9281ae41c1415149f817d0a81e3adbd6857a427b5ba2fa","observation_id":"3ff03615-4907-4259-a8fa-8124e85a10fc","resolution":{"observed_at":"2026-08-06T17:09:13.081083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.888892Z","title":"De Moor, and J","venue":null,"work_id":"74a0079e-355a-489c-9d21-9205cb080664","year":null},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.551878Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:493e18ea3f135ad5c8b4daae80159079e9482b9287142746ebeb9badb813a50d","observation_id":"cfb165fc-8686-467f-af6c-ec11ccc64a97","resolution":{"observed_at":"2026-08-06T17:09:12.968766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.762001Z","title":null,"venue":null,"work_id":"cb69b038-2646-43ab-aaf3-3715fec238f5","year":1998},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.734927Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:1cc12594e7ac8ddff92de5eb810bb9717a07f1dbfa15551cd9d18145d5e5162e","observation_id":"85c63032-2512-4394-a935-2b801cb36645","resolution":{"observed_at":"2026-08-06T17:09:12.825188Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.639895Z","title":null,"venue":null,"work_id":"5627cfe5-7e54-4e1f-8100-58e75bf7272a","year":2014},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.844125Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:c56bc5dd5b9bf589128b4eb91ba7f78552230b49517306bdf0b07c9bb3f5236a","observation_id":"ea519c0e-a155-4a21-86b7-bf2ce5c154ec","resolution":{"observed_at":"2026-08-06T17:09:12.694013Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.488161Z","title":"and L.-H","venue":null,"work_id":"effa04d8-2641-4944-992e-e99e773f92c4","year":2017},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:59.975466Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:66af746564c065f6087f5ce080ec66902b400b5c85eaee492ce034b1d1406254","observation_id":"0498e50c-7391-429c-baec-7d97ed46c83c","resolution":{"observed_at":"2026-08-06T17:09:12.559138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.357990Z","title":null,"venue":null,"work_id":"61146ae6-f426-4324-aaf2-75e2c0c6730e","year":2025},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.113532Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:cfd4ed6fae5779d89a34e8fa870d81f25a295468cab6841ce17970724dae8bda","observation_id":"9517d698-6302-48d1-9a78-168645412cd4","resolution":{"observed_at":"2026-08-06T17:09:12.423846Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.195491Z","title":null,"venue":null,"work_id":"4319424f-8bf0-40f8-a91d-19ca5296ec5a","year":2021},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.250072Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:271c9f826af5d55d66c5090d07fe587732d0acef693389d505ccecf57866898f","observation_id":"e63ae164-7623-447e-8de6-bed743eab296","resolution":{"observed_at":"2026-08-06T17:09:12.275583Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:12.065369Z","title":"Scheipl, L","venue":null,"work_id":"345e2d6c-b391-4c63-a66b-8c3803b8c31f","year":2024},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.359632Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:fc6c80f2c2fb04fffa4562888b2c4630822fff0bf9158a849179cfdb94ed9154","observation_id":"58a1178d-ecbc-4483-b469-8d74ca61a828","resolution":{"observed_at":"2026-08-06T17:09:12.120908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:11.941063Z","title":null,"venue":null,"work_id":"c498657b-ed3c-441c-ae8e-22e57b42a04a","year":2010},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.482128Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:c8b73c50a67418667e8f2981bf8fdb5143c799435c2780e800c5b8f0f200e1e1","observation_id":"f094829d-3352-43fe-8f2f-630d4fcd762b","resolution":{"observed_at":"2026-08-06T17:09:12.004361Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:11.811461Z","title":null,"venue":null,"work_id":"581df5b9-516f-4af1-86ec-455305bfdbe3","year":2019},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.594519Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:cf15544ed402eb8abb9b12faf5c024eec38f6ba441699a885d6100cd96d0f7fd","observation_id":"65385d2e-e11b-4bfd-b421-a743b0833677","resolution":{"observed_at":"2026-08-06T17:09:11.883356Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:11.658451Z","title":"Tamura, T","venue":null,"work_id":"fb29b2b6-4338-404f-807a-3fdb1335afcd","year":2010},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.714326Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:3d5105261abbb1eed39d66027213d424972eea6a5417c08700cff130b829c9b1","observation_id":"f7e08240-796f-401b-bd1c-8b1e663ba815","resolution":{"observed_at":"2026-08-06T17:09:11.733611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:11.465401Z","title":null,"venue":null,"work_id":"86184f19-570b-4f35-a429-464772592487","year":2009},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:00.844188Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:a089da521d94b0a3005204f6d92ae137ab5c2b867f9850c89deb1b39e4445001","observation_id":"bf9935af-433c-4fce-bae8-bf6f1d78d2ec","resolution":{"observed_at":"2026-08-06T17:09:11.578018Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:11.240541Z","title":"Degeneracy","venue":null,"work_id":"b5aa7eb8-a2dc-49b7-bc7e-9872c810d9ba","year":2008},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.026692Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:7e43f38420d6cd8374d17d7c9c0778ae3b5cbd07499f376b714795530e4a8e62","observation_id":"d766a1fa-1e1d-4a17-8767-abd757868f56","resolution":{"observed_at":"2026-08-06T17:09:11.343867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:11.045457Z","title":null,"venue":null,"work_id":"e7e06500-5181-4a68-a97a-127aa479e169","year":2024},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.163988Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:5a5840043aa501ddc648cd7850b8fdab6adbd3a269e1aa7e0d4fc0b146019f0f","observation_id":"4e6b7fa0-c060-4d6b-a0c6-66a013881404","resolution":{"observed_at":"2026-08-06T17:09:11.153428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:10.770066Z","title":null,"venue":null,"work_id":"c4e96ac6-6921-4f2b-ab5d-06464730a14c","year":2001},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.317211Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:c73d804441b1673f17aafd360889c2c733f74359e006006f87200fa03418119d","observation_id":"efd1775c-a0b0-4992-9e2b-0a67bfb48a48","resolution":{"observed_at":"2026-08-06T17:09:10.902897Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05677","last_updated":"2024-08-11T02:58:28Z","snapshot_observed_at":"2026-08-16T13:27:13.026889Z","submitted_at":"2024-08-11T02:58:28Z","title":"Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05677","snapshot_observed_at":"2026-08-06T17:09:01.454339Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.454339Z"},"links":{"cited_paper":"/paper/2408.05677","citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:2c9aeb5f3678f9f1f081b8a1a6f06d081364277ab61720db8ab00cf8f4d590ec","observation_id":"2deb85f6-594d-4660-8617-9c551a02eb33","resolution":{"observed_at":"2026-08-06T17:09:01.454339Z","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":"2026-08-06T17:09:10.486448Z","title":null,"venue":null,"work_id":"93a226c0-336e-4e54-8d9b-d36c3205c8d6","year":2011},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.574261Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:b7a79a46842ea1e3e17338b75c37434d1f97dc36c56d1cb7a7b0380dc7db9563","observation_id":"5cea7eca-6945-4484-91c8-932d5700d1dd","resolution":{"observed_at":"2026-08-06T17:09:10.627292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:10.212367Z","title":"Browne, X","venue":null,"work_id":"b096385e-ff47-4c9b-91eb-67eb861aa8e3","year":2018},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.750446Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:359f9c2432b8d53673b30d2b07d205d15b9ce78d8ea3c00c80d096f9973ab82b","observation_id":"b8db09c0-18f5-444d-9e7e-4a169a798434","resolution":{"observed_at":"2026-08-06T17:09:10.344723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:09.979363Z","title":null,"venue":null,"work_id":"ed5862b9-4755-4b0e-b652-f76c2b022085","year":2017},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:01.896832Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:fab6750ec13bdb647475eb7c1f7d59adad16b375c11ff9e5a1c3c38ee4e470d2","observation_id":"be8518a1-8884-4079-8ee5-a11f77ca3de7","resolution":{"observed_at":"2026-08-06T17:09:10.089006Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:09.714577Z","title":null,"venue":null,"work_id":"0f4c19c7-072a-4beb-b426-54cc8d89ff66","year":2013},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.016112Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:e2a1b6103ae6e1b9976c1e255e07e483838f5b46851978c202ed802f2f3feb1d","observation_id":"b25480c3-b1fe-44b9-a056-1ac44037422e","resolution":{"observed_at":"2026-08-06T17:09:09.874180Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:09.451451Z","title":null,"venue":null,"work_id":"6af80369-26c7-4a36-acb8-5338e51867d6","year":2025},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.132798Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:c552f99764476b0bb8340f940ce6de72d55b479fc91e811b64b60dec151c9e19","observation_id":"7c322a65-5f08-4be9-8c44-d1d9a7a6f275","resolution":{"observed_at":"2026-08-06T17:09:09.579303Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:09.134827Z","title":"Stergiou, E","venue":null,"work_id":"136d0e35-4eb5-423e-b82a-f6fffc6b5732","year":2014},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.249637Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:42750fd9355f06ef2fc2a919330f3f4e5bec8ac774fc9abbfda09a1199c2b893","observation_id":"f41f172e-700e-4909-9abe-36b3b0d013a8","resolution":{"observed_at":"2026-08-06T17:09:09.284353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:08.847867Z","title":null,"venue":null,"work_id":"1a762bb8-ae79-4a1d-abbf-23d63804e3a9","year":2006},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.370483Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:2985cf1a39a1c4d9cb0a29054332c4f596ad2ae545f90743105e29e1579230ba","observation_id":"68aeb1f1-e5d4-4bdf-aa96-9df1ed7461e6","resolution":{"observed_at":"2026-08-06T17:09:08.971994Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:08.617148Z","title":null,"venue":null,"work_id":"288857f5-86e8-473f-abe9-a6259177eabd","year":2014},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.522082Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:56b5fff2b7b03fff3d22e6897fe9d21de4f1e1ab1a3fcbdb90c969317550c74c","observation_id":"b05158f4-d5cb-43c7-b28f-2319e8dbd219","resolution":{"observed_at":"2026-08-06T17:09:08.784939Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:08.459735Z","title":null,"venue":null,"work_id":"a99769b9-984e-45f8-a17a-85a3cd186f85","year":2008},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.693382Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:7b4624924c4e1ba8eeaaa80d73c58d797372eedcc999fda9f793c1779e2b6860","observation_id":"eba4adb2-bf00-40e8-bc7f-4b2f68449a1a","resolution":{"observed_at":"2026-08-06T17:09:08.524529Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:08.339485Z","title":"Fazel, and P","venue":null,"work_id":"56284976-95b0-4505-af28-8b72a82ab3c7","year":2010},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.833238Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:347fd95b8f9e8909d74c588546b918c3803c31d26a17575af59709b219727403","observation_id":"a237f84f-33f6-4e37-be59-bef25479073b","resolution":{"observed_at":"2026-08-06T17:09:08.397209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:08.189849Z","title":"Schenker, V","venue":null,"work_id":"d60374ed-56e1-42a8-bb98-f8806dc18120","year":2022},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:02.954896Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:91d83ced5fd02f6a4162c81e2ef4a253c12ab676f46bd38aa18d1bacc5621187","observation_id":"96eb7976-2210-4335-a603-f4fbf31bb615","resolution":{"observed_at":"2026-08-06T17:09:08.254303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:08.000433Z","title":null,"venue":null,"work_id":"c6159838-665c-4268-8cf9-862e70fd2f65","year":2021},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.102503Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:d970cf19e0bf05cfe6f6c1f384127f014887d7e50574bb851c3408977c013341","observation_id":"73c1adb4-d856-4b88-a631-9701efc7b534","resolution":{"observed_at":"2026-08-06T17:09:08.093640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:07.866408Z","title":null,"venue":null,"work_id":"5261e180-b8e9-4eef-82b7-a3dc998c0799","year":2003},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.264981Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:219ac035e546d2bf8e10b9656dfae8fc3f6ea63a4bed269bdde9001ad5739812","observation_id":"df5e6d4c-9334-45a2-a10a-3eece00d7486","resolution":{"observed_at":"2026-08-06T17:09:07.931289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:07.701069Z","title":null,"venue":null,"work_id":"398ef0e5-d1c8-4bb0-ab8a-9e19aab82e79","year":2013},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.441705Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:2f756569c6f8cf047f835408dde6315406a02a7be448e2826ce20ee6acca9224","observation_id":"29ea8f7b-e25e-434e-8153-39607cf7f30c","resolution":{"observed_at":"2026-08-06T17:09:07.781633Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:07.549237Z","title":null,"venue":null,"work_id":"b6ebc3b8-2554-4340-abae-3f926a5dc264","year":2022},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.607859Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:a60208d6323ed414b0c6c573f0a5c0e7bbbfa7fc64aac7f9f92294636c52f84a","observation_id":"03a2b6d9-cd50-475e-b194-33ea2f5ef045","resolution":{"observed_at":"2026-08-06T17:09:07.621186Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:07.238637Z","title":null,"venue":null,"work_id":"f24a6875-8ecc-45d4-bb38-d3c3348bdd11","year":2014},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.726538Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:1c9926fc4483f1043cd3e8392c680690ff70c73227bcb80882be6b30256481f9","observation_id":"b5e2863e-4972-411e-8f83-de1213b6b905","resolution":{"observed_at":"2026-08-06T17:09:07.390573Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:06.947431Z","title":null,"venue":null,"work_id":"ab71142f-fc9e-4c26-9f34-c194ca246a5c","year":2002},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.794440Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:67f2f6730adb031591b7bff13066151cec1b32dd1e8c1fd846b2111e9622da0b","observation_id":"a21eb14b-a05a-4c40-8a26-681ad5c3927a","resolution":{"observed_at":"2026-08-06T17:09:07.084894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:06.626350Z","title":null,"venue":null,"work_id":"a6e7b8f0-1e38-4564-b7cb-01f886309289","year":2001},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:03.935356Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:c8d1d013a924da55776af2e622f46e63807d92c7489b2d3ff8a4e1aab5bdce7c","observation_id":"155233f5-43f3-4b6b-8e82-a310c0d9390c","resolution":{"observed_at":"2026-08-06T17:09:06.758097Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:06.312934Z","title":null,"venue":null,"work_id":"86a2a98d-f10b-41b6-9102-cca78bf71a61","year":2002},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.048486Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:535f938700952efbd81e9cd13cdd23d500793922d378ff26cd590aa7a0b14afd","observation_id":"b4b630ee-125f-4d69-9fa5-a573f96877bb","resolution":{"observed_at":"2026-08-06T17:09:06.469815Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:06.028849Z","title":null,"venue":null,"work_id":"7e098bf4-f232-4dc9-8f06-2e9d9a1f4f1d","year":1966},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.191816Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:c39f05cafa9becade5356c3c20e8873aa17b6e7010ae979ca63e17dc965fa4c6","observation_id":"15e98f83-46af-4c37-9ea4-d5729c16bbc4","resolution":{"observed_at":"2026-08-06T17:09:06.154830Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:05.701117Z","title":"(1994, July)","venue":null,"work_id":"0b57735a-5f17-46d7-a105-fbc0fa2933c5","year":1994},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.348408Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:da2df3126f998bbce6d268fb2d052ce0e2fedd0cc416d2741faa02cf2c7700d3","observation_id":"84efd545-5859-4ae7-8b1a-355d45bfbc31","resolution":{"observed_at":"2026-08-06T17:09:05.881257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:05.559525Z","title":"(2005, November)","venue":null,"work_id":"78679772-374b-4614-a8a6-91b7575a387a","year":2005},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.467799Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:971195dcedec5e90445485b5c2d067698b7a068484a01e4882e5824e825c510c","observation_id":"f717d9ed-d898-4c9c-8ca5-adbc34122884","resolution":{"observed_at":"2026-08-06T17:09:05.630356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:05.423970Z","title":"and C.-H","venue":null,"work_id":"20c67b51-66aa-42d4-bfdb-41da84a257a7","year":2016},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.568757Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:284d09efe0d7d1691b77f53f8b6dffb1ef19ad6ff19e343da53a70d44583ddbe","observation_id":"2b56c3a4-0414-4e50-a858-8e6083ed8484","resolution":{"observed_at":"2026-08-06T17:09:05.482594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.05090","last_updated":"2018-04-13T18:54:30Z","snapshot_observed_at":"2026-08-14T19:26:07.593566Z","submitted_at":"2018-04-13T18:54:30Z","title":"Regularized Singular Value Decomposition and Application to Recommender System","version":1},"cited_work":{"arxiv_id":"1804.05090","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.05090","snapshot_observed_at":"2026-08-06T17:09:05.056915Z","title":"Regularized Singular Value Decomposition and Application to Recommender System","venue":"cs.LG","work_id":"220cd9f0-8cdc-4503-8596-11bec5ddb811","year":2018},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.742122Z"},"links":{"cited_paper":"/paper/1804.05090","citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:65e00f3ba26bf4469790f5d4493c69db94fe554a9b1d641fbc39f6cc85a77464","observation_id":"ec4785cb-e14d-41f4-a310-ba3997059f40","resolution":{"observed_at":"2026-08-06T17:09:05.134072Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:09:05.272618Z","title":null,"venue":null,"work_id":"b19c95d4-cffe-4072-b494-8a8a1c399b9a","year":2021},"citing_paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T17:09:04.916533Z"},"links":{"citing_paper":"/paper/2507.11723"},"observation_digest":"sha256:643a29fba22cecfdc88742fb38c1242ea9c0ccdac656a40dbfac3ee84f1dd137","observation_id":"834472f4-b9be-4a18-bc70-e94b597f6aab","resolution":{"observed_at":"2026-08-06T17:09:05.347808Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.11723","last_updated":"2025-07-15T20:47:16Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-17T14:32:29.933852Z","submitted_at":"2025-07-15T20:47:16Z","title":"Smooth tensor decomposition with application to ambulatory blood pressure monitoring data"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":49},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2507.11723."}