{"as_of":"2026-08-16T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e01bf095eabd83c185f9b1df349cb546c253acc758d2b8d0f57c7e4c71a446bb","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:42:20.303239Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.02806/citation-record","integrity":"/paper/1908.02806/integrity","json":"/paper/1908.02806/citation-record.json","paper":"/paper/1908.02806"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:42:21.067708Z","title":null,"venue":null,"work_id":"42d7f944-73dc-4da5-93f2-fc765d4e41c3","year":1993},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.087263Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:25dcbae9c11c35b4ae9cad06e4c9078faeeb8378cb82f6225db17e5270b06247","observation_id":"6c5c04f3-215f-4a90-b462-ef7954f14f6f","resolution":{"observed_at":"2026-08-14T14:42:21.073296Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:21.051967Z","title":null,"venue":null,"work_id":"55ec30bd-3963-4633-947f-0e8a8e9f78f1","year":1974},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.093789Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:9833ff2c1ea1f225ae683d56afaf77390ba023d71dd81c7cc57650165b69e417","observation_id":"03cfc20a-f808-427d-bf8e-b71d23027a22","resolution":{"observed_at":"2026-08-14T14:42:21.056196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:21.033722Z","title":null,"venue":null,"work_id":"de9dbaeb-ba8e-4bb1-bcce-ed682bafc6a9","year":2014},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.099509Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:7b2356f8ec2914d75b1ff14bca9b430db1e2d2aa2d2c40c7ffbe677b3d695c6a","observation_id":"472cc813-0a14-4d5e-8214-2f8df5894d97","resolution":{"observed_at":"2026-08-14T14:42:21.039479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:21.011714Z","title":null,"venue":null,"work_id":"22403ffc-91a4-4942-9be8-f6321dfd89df","year":2015},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.105979Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:ae524ab9410b48c1f64e6e2dcb21e2adc8343b558a92287d7d85e193e43978ff","observation_id":"d25d21b4-1879-461c-bb6c-5ef3b0d571da","resolution":{"observed_at":"2026-08-14T14:42:21.018481Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.990785Z","title":"W., and Macdonald, D","venue":null,"work_id":"668e71ef-37bf-46a2-b485-daa95b092e32","year":2014},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.112862Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:ace81a6b09e2476bcac790cb974bf9cb349652afc5adb2c0b0baf8b5ab4f79fe","observation_id":"2aa9fc46-cf6b-4ac1-9c89-94e8e7b366e1","resolution":{"observed_at":"2026-08-14T14:42:20.997074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.972514Z","title":null,"venue":null,"work_id":"cfb9e89a-15fb-4a61-9582-231c039ed3ed","year":1998},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.118328Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:684c403ffa3d74737ceb0937be71585b8851d13627bdb2aedd6ca420c26fbd0f","observation_id":"01ad319d-f351-4526-a53d-3e7ad31aa048","resolution":{"observed_at":"2026-08-14T14:42:20.978891Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.954884Z","title":"H., Gillooly, J","venue":null,"work_id":"1a9b90d0-e005-4cfb-90f6-93dcf1396329","year":2004},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.124092Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:e2fbe81091f95ad0f125cf5c330cf3804a741ac9f591d18798c70e467448c565","observation_id":"0d96c55e-e033-4a48-a912-de85b297f1ea","resolution":{"observed_at":"2026-08-14T14:42:20.961100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.937028Z","title":null,"venue":null,"work_id":"4dbbaf37-924c-463d-b908-b00f130057a4","year":2019},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.129467Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:8faaf22cfa96dc6b633e885079f9af6f66cb2a7f81e9496a4f4a3bd024d1e37c","observation_id":"970512e4-f975-477c-8990-ad06cf190699","resolution":{"observed_at":"2026-08-14T14:42:20.942195Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.918693Z","title":null,"venue":null,"work_id":"90195dc3-e1a1-4bb5-8f10-a3c33e7a746e","year":2013},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.134683Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:c504a0ac25e546660e1fd64210a2dddbe38da00cee6b08719786dfc79fa2f76d","observation_id":"335b642e-6674-43b8-83f7-7dcff5ec5bc9","resolution":{"observed_at":"2026-08-14T14:42:20.924988Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.894506Z","title":null,"venue":null,"work_id":"92dea4d1-0135-4f0b-a6ee-d9af74aaacaf","year":1992},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.140068Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:9e4c28aae7f9f47b922fc3ae68782728593d06ee68b504fbae7fcf605cb60ed2","observation_id":"c6f87ac4-27a3-4338-be19-421beb1e44b2","resolution":{"observed_at":"2026-08-14T14:42:20.902698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.873126Z","title":"D., Glahder, C","venue":null,"work_id":"09ced92c-d51d-4d44-aba1-43ccb3386adf","year":2003},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.145227Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:85bea528cac85b9a835ad7ab8c593181d85ce2b11d7ea55202224fdaf013bafe","observation_id":"c833dd11-daac-4add-a160-d7b3022eaf40","resolution":{"observed_at":"2026-08-14T14:42:20.878342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.856184Z","title":"u hwirth-Schnatter, S. and Fr \\","venue":null,"work_id":"4faef88c-6478-48ea-a77c-08ce32c5912c","year":2007},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.150109Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:f87a58d2c856fe587b1a94f2f2a7fd619ced516e34216caa05193344c3c39669","observation_id":"3ae56bd8-a1f3-4f5c-9102-6f2e15e063ea","resolution":{"observed_at":"2026-08-14T14:42:20.861508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.839989Z","title":"u hwirth-Schnatter, S. and Fr \\","venue":null,"work_id":"63aba62a-7e17-4029-892e-5cef577cccf6","year":2010},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.155388Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:f247b543e28f22f51ddb8b70c429cd500f5a7e78119931c30e14f65f4eb7ef50","observation_id":"ddba22be-5a42-4b55-a01a-0f898d061999","resolution":{"observed_at":"2026-08-14T14:42:20.845459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.822718Z","title":null,"venue":null,"work_id":"ae8bcaed-e091-4299-8497-3d9890df42d6","year":2012},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.160278Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:075be3bcc1bc34367a927bdd8357051bf8f5699dadb75cc881e6d61aed68bece","observation_id":"214f6abe-e5a1-43d3-9582-621994712304","resolution":{"observed_at":"2026-08-14T14:42:20.827980Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.804391Z","title":"R., Richardson, S., and Spiegelhalter, D","venue":null,"work_id":"7be77638-14a9-4690-84f7-c85bf5f65cdf","year":1995},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.165033Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:5b4643331311893bd60caf155531eb45fc867fd6ce2274717d823b595a82a781","observation_id":"eef4687f-9ea2-4db6-bcd4-f20f6c388640","resolution":{"observed_at":"2026-08-14T14:42:20.811303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.784818Z","title":"T., Howard, B., Banks, D","venue":null,"work_id":"21e4739e-43e2-45f3-8e62-adfa1ce979c8","year":2019},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.169872Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:76119e191ff491b09a279b1059f91cea3be04e41fda3f5e2b2c37bd02cb68b6b","observation_id":"ab384ecd-56e4-4f8f-8d2b-751ab3d97bc7","resolution":{"observed_at":"2026-08-14T14:42:20.790037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.767888Z","title":"A., Blount, J","venue":null,"work_id":"97ad921e-7aad-456c-a5b9-d66a819ed2d2","year":2011},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.174596Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:e9c1263340eb14b5c7de5c331c6cd3747c60cfdbef5186c3f2747b65df9aa7eb","observation_id":"657f069d-a7ab-4336-b9b8-aafdccb5a090","resolution":{"observed_at":"2026-08-14T14:42:20.773019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.751781Z","title":"R., et al.\\@ (2014)","venue":null,"work_id":"78f0d055-6cfe-4b0c-97d9-81181d79354e","year":2014},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.179296Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:59e59e6c03d3b391dfb7b80ed8090e41e425248be486d7eacaaecbe56a3c7965","observation_id":"6dc46d0a-fcda-4bec-a5c7-413621fed0b6","resolution":{"observed_at":"2026-08-14T14:42:20.756802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.734275Z","title":null,"venue":null,"work_id":"2b7618b3-75b6-4161-83a1-72a553dd32f0","year":2006},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.184063Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:ec84c5ba029e36895ee5a33d2f9f94eb95efc878e3453e79def2f3f9f39e6b18","observation_id":"4c82941c-e15d-4162-b3f3-ff8de5398356","resolution":{"observed_at":"2026-08-14T14:42:20.740181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.716233Z","title":"M., Robertson, A","venue":null,"work_id":"b5d6f238-1300-45a7-9b29-93c5da43b289","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.188864Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:8c2c09b480d2b856770c80263e959868fa84698b2a1fadad684121e544df9422","observation_id":"291c1afd-44ee-45b2-b280-5e55adabfd47","resolution":{"observed_at":"2026-08-14T14:42:20.721816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.698425Z","title":null,"venue":null,"work_id":"5af76047-cb6a-4381-ae31-c43246615565","year":2015},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.194004Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:cfefb9d9c7c046ec221c5b99d2c081907657e0cd4dc05402afe544e12455b785","observation_id":"21f470b7-d98d-4cac-a3cf-5a4203237f7d","resolution":{"observed_at":"2026-08-14T14:42:20.703845Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.681485Z","title":"B., Johnson, D","venue":null,"work_id":"96814edb-bd45-430d-8023-359b210ea23d","year":2010},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.199192Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:5fab3f114b929dd566c4231ff13cd7037e8525a609d10b7c572a67c045935acd","observation_id":"6e5ae676-97e4-4ad5-a608-a0e978ae4598","resolution":{"observed_at":"2026-08-14T14:42:20.686720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.665672Z","title":"B., Johnson, D","venue":null,"work_id":"cd61b94b-9d62-479d-a4b4-347cc3cb7e40","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.204465Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:7361be916ccb1db0f0e69ebbf20b68dce095a74cf6854b87b694170339c3191a","observation_id":"dca28033-0dd9-4e69-88df-30a2999eee97","resolution":{"observed_at":"2026-08-14T14:42:20.670764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.649735Z","title":"B., Scharf, H","venue":null,"work_id":"905f9eba-afc2-4471-ba23-4977905268fd","year":2018},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.210048Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:45fc2e73c032352157e33723b1e0b31fa3ac2c722a07e21741c5e24968417609","observation_id":"ee80d3e5-b74c-4ea7-9585-c91323cf504e","resolution":{"observed_at":"2026-08-14T14:42:20.654663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.634616Z","title":"S., London, J","venue":null,"work_id":"e1171d92-e090-459d-9ab6-ed20d7096a01","year":2008},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.214889Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:7bd08e6133cdd0e5968a44d73dd7131a521ff797a05d8fe17d9c7a2a68efd2d5","observation_id":"e94f844e-15fa-46a0-8c1c-fb6aafd2eafa","resolution":{"observed_at":"2026-08-14T14:42:20.639276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.619027Z","title":"L., Reinecke, K","venue":null,"work_id":"1be88872-b8b7-4d7c-a3d3-b84dac854007","year":1995},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.219546Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:15628c15f977464a2a88bb05d21cc608f75eb4a3ede03f5e47e64d6c2f165ddc","observation_id":"67fae6c6-1f8f-4f03-9302-793aed0cb697","resolution":{"observed_at":"2026-08-14T14:42:20.623996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.602161Z","title":"A., Watanabe, Y","venue":null,"work_id":"34fb1d18-b84f-4ac9-b4d4-9c0f4ab9294a","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.224818Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:4f744a0179ec25ab88bd895d51ec45f30a5ec80d7edf0359bdd433839a25396f","observation_id":"fe769c51-48af-4b48-bf9f-5c9d91c8a0a2","resolution":{"observed_at":"2026-08-14T14:42:20.608115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.586329Z","title":null,"venue":null,"work_id":"de1ba2eb-aa18-4161-9435-a46678d1a52e","year":2015},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.230236Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:8142b7b222812ce65c9b2a3eb888d5e9ffa945f580c7321e770c03700c2d1c3a","observation_id":"0cd3ebe4-46e3-4253-84f5-df7dc539427a","resolution":{"observed_at":"2026-08-14T14:42:20.591306Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.569498Z","title":null,"venue":null,"work_id":"2c0d802a-0f8f-429b-84c2-8e85bedbdfaf","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.235068Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:631176fdeb084f194bc834bfabd730ff135567e7e83d8e03fcb770e784495335","observation_id":"7c1d5dde-e9ba-420d-a907-6055df376b1f","resolution":{"observed_at":"2026-08-14T14:42:20.575346Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.552696Z","title":"T., London, J","venue":null,"work_id":"f1418e13-72bd-496e-bbe2-7dc32e018f87","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.240116Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:ada80458b790a2157586a5d5aace2cec8046b05b91570ee6e9bae129131a82e8","observation_id":"6b0961b2-2ca1-4c63-95c9-2d24a30f3091","resolution":{"observed_at":"2026-08-14T14:42:20.558172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.535432Z","title":"and Blackwell, P","venue":null,"work_id":"4837c7c5-954c-409f-83de-cd856e26184b","year":2019},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.244925Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:47be3e450d3f742c74e276e8564c5e8d34760bc470b12d76722e04d6186e0e88","observation_id":"20c4a8ae-742c-4495-b35c-f3b5dcaf5f21","resolution":{"observed_at":"2026-08-14T14:42:20.541084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.516866Z","title":"D., Photopoulou, T., and Patterson, T","venue":null,"work_id":"edcf49c5-2209-4563-9418-9cb76ad0277d","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.249735Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:080e3c466a37f3d0214a8689b3d2790b186628e532a0285ee5363bacc2e4b837","observation_id":"ddc67798-063b-4817-9a1c-051f867e2bb9","resolution":{"observed_at":"2026-08-14T14:42:20.522802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.494935Z","title":"M., Haydon, D","venue":null,"work_id":"bd379596-12cb-462f-8479-70a054c9e057","year":2004},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.254431Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:1a3ce34392d10676a211be3304f15edcb6f91afc1a9275358f85e7b7c628afa3","observation_id":"a995d66a-28c2-4422-a792-911aaa19a4f7","resolution":{"observed_at":"2026-08-14T14:42:20.501677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.477731Z","title":null,"venue":null,"work_id":"1fa94348-44ae-4fd8-a001-fd5008faecbd","year":2012},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.259980Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:bae5ef6ccbfa7550a94b67c12c74be809260eb1abdb04115dbf21869b8bf0348","observation_id":"780cfd1c-60eb-45b8-a705-2b641fd8825e","resolution":{"observed_at":"2026-08-14T14:42:20.482790Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.461794Z","title":"A., Parton, A., Langrock, R., Blackwell, P","venue":null,"work_id":"5c94fb9d-3753-4b00-b8b5-412162c98568","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.265074Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:67ffe6cb576e8f3b82807ba40ef61e4313fac62974f40ec33828bb08a027eb34","observation_id":"add2c53f-4265-43fd-a039-10e4c0344810","resolution":{"observed_at":"2026-08-14T14:42:20.466736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.446033Z","title":"G., Scott, J","venue":null,"work_id":"5ed42761-582e-40e3-8048-01940d2b78be","year":2013},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.269882Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:bd1134d5b6b3b114e45ea635e98b423fd74fd6d6776b526944113240ace43a09","observation_id":"790ca82e-1c66-4a3b-b3d5-c6e92421ec41","resolution":{"observed_at":"2026-08-14T14:42:20.450953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.427157Z","title":"S., Rotics, S., Harel, R., Spiegel, O., and Nathan, R","venue":null,"work_id":"183edfb8-b8e8-4026-8726-3420ba328ec8","year":2014},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.275435Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:84ed8c58f6dff499e616f7f2e1775c01e4fcbd8f611e3da72fb1d79d89ffd12a","observation_id":"8affd96d-20b2-4c5a-b1ae-7abe4114b5d1","resolution":{"observed_at":"2026-08-14T14:42:20.433753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.408631Z","title":null,"venue":null,"work_id":"ea3bb756-e1ff-43ba-af41-2a93b31568a2","year":2004},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.280456Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:3428e0e1b52fd0c450db6b99c7352551ab3f54552a9b18aa1c9a9eb11bf46e49","observation_id":"6aba1d46-4c32-43b6-a89b-036dac030256","resolution":{"observed_at":"2026-08-14T14:42:20.413908Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.391438Z","title":null,"venue":null,"work_id":"73793437-a6cf-4c86-9b12-9ab6a9f4d46c","year":1990},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.285587Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:5572ed2983ae2ab703d94b177799b52a3e8ec3aee81881ef0ab9354bdefb3d78","observation_id":"24d7a71e-c014-4a6b-b5ff-4ec88d0c9994","resolution":{"observed_at":"2026-08-14T14:42:20.396648Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.374179Z","title":"B., and Johnson, D","venue":null,"work_id":"f5ef12f8-f710-42e8-bdbc-380808d607f2","year":2017},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.291113Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:935f360f2b0c0d7d004f31916ad12d0005a3b55085fec716bdd01fa413cfe0ff","observation_id":"049f0ded-b563-4787-a633-343f1cfc4f3d","resolution":{"observed_at":"2026-08-14T14:42:20.379167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.358472Z","title":null,"venue":null,"work_id":"2b7363e1-9bc1-4762-9977-0c3497350609","year":2007},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.297323Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:dd856355b48248ecdd78976b43f152669b26f4d2e8381fd72eaca8cd04e8af06","observation_id":"cb37824b-c971-4acd-938c-f0f9c2232725","resolution":{"observed_at":"2026-08-14T14:42:20.363577Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:42:20.340065Z","title":"L., and Langrock, R","venue":null,"work_id":"4ac63785-0f7c-44f0-bd01-a99712010ae7","year":2016},"citing_paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications","version":3},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-14T14:42:20.303239Z"},"links":{"citing_paper":"/paper/1908.02806"},"observation_digest":"sha256:3d94df9e8e6b07de960c718373f6d0c52254b82ecfe88f7bb1ac0b61877174c7","observation_id":"ec81a463-efe8-4ece-afab-b777900e545c","resolution":{"observed_at":"2026-08-14T14:42:20.347489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02806","last_updated":"2020-05-19T19:52:09Z","latest_version":3,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-14T14:31:26.294901Z","submitted_at":"2019-08-07T19:33:00Z","title":"A Bayesian Markov model with P\\'olya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":42},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.02806."}