{"as_of":"2026-08-16T16:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6531db66b946b32ff71094d48171c3566e6931504fa6470545bac12a96cb0d7","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:16:57.515542Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-08-14T12:16:57.276965Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-14T12:16:57.603400Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"cited_work":{"arxiv_id":"1908.08919","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.08919","snapshot_observed_at":"2026-08-14T12:16:57.603400Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","venue":"cs.CV","work_id":"ecc8f73d-f66f-4c9a-8e26-a3c3aa62b1ef","year":2019},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.276965Z"},"links":{"cited_paper":"/paper/1908.08919","citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:3a9d8d2716494659978fc92c76d3074aab231909165e6f8658504081099d5b6b","observation_id":"056702e8-09f7-4ef6-a68a-8f391d164b3a","resolution":{"observed_at":"2026-08-14T12:16:57.612507Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/1908.08919/citation-record","integrity":"/paper/1908.08919/integrity","json":"/paper/1908.08919/citation-record.json","paper":"/paper/1908.08919"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"cited_work":{"arxiv_id":"1908.08919","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.08919","snapshot_observed_at":"2026-08-14T12:16:57.603400Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","venue":"cs.CV","work_id":"ecc8f73d-f66f-4c9a-8e26-a3c3aa62b1ef","year":2019},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.276965Z"},"links":{"cited_paper":"/paper/1908.08919","citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:3a9d8d2716494659978fc92c76d3074aab231909165e6f8658504081099d5b6b","observation_id":"056702e8-09f7-4ef6-a68a-8f391d164b3a","resolution":{"observed_at":"2026-08-14T12:16:57.612507Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-14T12:16:58.102557Z","title":"In other words, the output data from the learner should lie on the data manifold used by the pose estimation module","venue":null,"work_id":"633d3a94-ae28-4a3e-bd34-4d8dd99fff9a","year":null},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.287069Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:c075678f5f395749debace2a5d52775230fb484ac08444b13e827525d87202d3","observation_id":"303aa89c-39f0-4651-a047-dfde30e00741","resolution":{"observed_at":"2026-08-14T12:16:58.108754Z","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":"2026-08-14T12:16:58.085184Z","title":"Data Preparation We used the PmatData dataset [6, 22] to train and test our pressure-based pose estimation approach","venue":null,"work_id":"30149cbc-f745-4896-bf55-53b7c7bb03fc","year":null},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.297525Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:69c02e019ace5842c45e5424f99b27501cb5ff3824a6370c9b682e64c2d8a548","observation_id":"c0778140-7433-4465-83f5-2418a4c2d57a","resolution":{"observed_at":"2026-08-14T12:16:58.091134Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-14T12:16:58.065727Z","title":null,"venue":null,"work_id":"2311c510-edc6-4af1-8b6a-2d0ef3ea7690","year":null},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.305661Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:2b7e5b1748e3f04d20769f80015ab8898e40653daf7a30aa420b8f0c71448363","observation_id":"2cad609a-3c23-4d7f-8a69-c1d165b0028a","resolution":{"observed_at":"2026-08-14T12:16:58.073303Z","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":"2026-08-14T12:16:58.049555Z","title":null,"venue":null,"work_id":"9b82f264-fec1-47ea-b872-def0e22e6593","year":null},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.311555Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:e927607f4956c4a6f8117ea257b5f1ccd9e43752fe4dafc9ab567759773250de","observation_id":"5ec403f3-37b2-4908-ad7d-548e59dff6c1","resolution":{"observed_at":"2026-08-14T12:16:58.054461Z","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":"2026-08-14T12:16:58.033339Z","title":"Guidelines for sleep studies in adults–a position statement of the australasian sleep association,","venue":null,"work_id":"f014aa7a-3f0f-4e58-b755-16fdd182fce8","year":2017},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.317730Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:85997d114b104e4e2d7c5b8bb0582db7b3eb580d91f1c68480a3f2c044b194f7","observation_id":"d03c8d9c-a7b6-45d9-af86-ba7d8b477925","resolution":{"observed_at":"2026-08-14T12:16:58.038560Z","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":"2026-08-14T12:16:58.017659Z","title":"Changes in site of obstruction in obstructive sleep apnea patients according to sleep position: a dise study,","venue":null,"work_id":"4e1d5eab-95bc-4109-bf5f-6b0eae6160f2","year":2015},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.325595Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:61fa0a8d1ffe4ff8d3730670e457d2e74f6b963b5fe96b828930fe1f0e8a1c79","observation_id":"3c050213-6a5d-413d-8521-fced7a07d046","resolution":{"observed_at":"2026-08-14T12:16:58.022938Z","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":"2026-08-14T12:16:58.001241Z","title":"National pressure ulcer advisory panel’s updated pressure ulcer staging system,","venue":null,"work_id":"6dd5960b-83b4-4284-a63f-f8f7ba948a42","year":2007},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.331570Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:84f8dee671b66e84c3b2d137ca69caf78b3ad08ded7e8f97ca70fd504a7dbf53","observation_id":"448b0358-0579-4e15-a5a8-3ec0789ed506","resolution":{"observed_at":"2026-08-14T12:16:58.006941Z","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":"2026-08-14T12:16:57.984492Z","title":"Bodypart localization for pressure ulcer preven- tion,","venue":null,"work_id":"dafa2d58-6167-4812-a684-204ddb21df17","year":2014},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.339696Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:ffb58c2c2f03bdbff6b808654dd0ca026ab4a4d429b10b8ab50b59ee3fff585d","observation_id":"84ae210f-a11e-4d41-9506-ca5aba556ae3","resolution":{"observed_at":"2026-08-14T12:16:57.990096Z","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":"2026-08-14T12:16:57.968870Z","title":"Balance-based time-frequency features for discrimi- nation of young and elderly subjects using unsupervised meth- ods,","venue":null,"work_id":"f0962ec7-16ef-4237-b946-78d06af39a1b","year":2017},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.346745Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:68cbd848eae967c3778d3f444080b3b0a7b85f6fea2a3d89eca03762b483ddd5","observation_id":"77982da7-bf93-4455-ba7c-592a62ce8fc0","resolution":{"observed_at":"2026-08-14T12:16:57.974030Z","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":"2026-08-14T12:16:57.950728Z","title":"In-bed posture classification and limb identification,","venue":null,"work_id":"4ab660bd-8a5a-40dd-b93b-15090bd275ac","year":2014},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.359083Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:8426cdacdaf48065362cf3b4c3e7cb3a4907f4468e49d2bd318b2a4ab0553be0","observation_id":"3176d438-b52d-4646-8db1-9dfb3e79c44a","resolution":{"observed_at":"2026-08-14T12:16:57.957881Z","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":"2026-08-14T12:16:57.933133Z","title":"Self-supervised learning from multi-sensor data for sleep recognition,","venue":null,"work_id":"984ab0f1-f31d-43d5-bf89-cbf7a7cfa606","year":2020},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.368332Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:9d59a4558267f7bcd74d33ac2a3d97d87672518037b73acbaaba5ba5b2e4e2e3","observation_id":"f7b1646b-913d-4651-9561-c5b73d83666e","resolution":{"observed_at":"2026-08-14T12:16:57.938326Z","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":"2026-08-14T12:16:57.915330Z","title":"Bed posture classification for pressure ulcer preven- tion,","venue":null,"work_id":"9e4c21a0-9893-4418-b3e9-72e3548f3337","year":2011},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.379972Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:da34706562ace2bcea4d550dc04489107c1a01ae4da05ce4dc1a53cd2e04cfa1","observation_id":"f9c8e8c7-968e-433c-9b6b-9b1ae719412d","resolution":{"observed_at":"2026-08-14T12:16:57.920638Z","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":"2026-08-14T12:16:57.898773Z","title":"Deep multitask learning for pervasive bmi estimation and identity recognition in smart beds,","venue":null,"work_id":"b09e5078-653a-4523-9a16-c50e00457e63","year":2020},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.386858Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:b9cc5d93ec8877af176a816b53b2e12a588cc79ff040d51c8e6963abd839ff0b","observation_id":"3c46e5f0-dca6-4ec8-add3-89d2d6890c22","resolution":{"observed_at":"2026-08-14T12:16:57.904021Z","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":"2026-08-14T12:16:57.881868Z","title":"Identity and posture recognition in smart beds with deep multitask learning,","venue":null,"work_id":"fd29a544-cf82-4197-916c-f0367fc2acc0","year":2019},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.396436Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:a5980b9ccd94fe5fb9dd80e59a85f0f3c40f471138b5853b0560ac4c71848146","observation_id":"8454c873-a6b6-432c-95df-acbf52308da8","resolution":{"observed_at":"2026-08-14T12:16:57.887463Z","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":"2026-08-14T12:16:57.865221Z","title":"Neurokinect: a novel low-cost 3d video-eeg system for epileptic seizure motion quantification,","venue":null,"work_id":"e99d40e3-b203-426b-a406-9703b532f5e3","year":2016},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.406883Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:fb3f31682e8d4d5794596d5d8767f81dafca40716c67790bdbaf707159c51772","observation_id":"54edf222-d91a-44c0-b7fd-f9ce5af48327","resolution":{"observed_at":"2026-08-14T12:16:57.870507Z","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":"2026-08-14T12:16:57.847880Z","title":"Effects of turning on skin-bed interface pressures in healthy adults,","venue":null,"work_id":"ea4ec309-918e-47ee-b941-9e9bdf26c9e6","year":2010},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.413040Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:d2eea0d7219b6f09841aed637aec0e6b84be0cf53f0c9d48620eb4212b3ecab3","observation_id":"7af84599-0c6f-40cd-ac19-a628bc5c0945","resolution":{"observed_at":"2026-08-14T12:16:57.853289Z","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":"2026-08-14T12:16:57.830892Z","title":"Prevention of pressure ulcers in the surgical patient,","venue":null,"work_id":"a8ad9872-fcca-483e-bcd5-de45417005b0","year":2009},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.420991Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:0a5df56b88dc8eb5a96c2f53b67ba27ba0de5206e1e081feaffcf83e5daa6911","observation_id":"27ed57fe-bda2-4415-8a81-457bfa8374f5","resolution":{"observed_at":"2026-08-14T12:16:57.837140Z","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":"2026-08-14T12:16:57.814277Z","title":"Bodies at rest: 3d human pose and shape estimation from a pressure image using syn- thetic data,","venue":null,"work_id":"203461ea-8bfd-477e-a27e-6cd46f028321","year":2020},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.428974Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:a0db15e6b82276de0eccf8c0a9ca736834a2a3b5b46ece6e8af45cd2144b7528","observation_id":"69e466c3-a16b-4395-b340-c6823fc6e03b","resolution":{"observed_at":"2026-08-14T12:16:57.819940Z","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":"2026-08-14T12:16:57.793537Z","title":"Deeply learned composi- tional models for human pose estimation,","venue":null,"work_id":"784d6f87-6c0a-497b-8913-22b425590de2","year":2018},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.438170Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:ebee6e14340ca70130701111f34ce544befab32bf58408f54614d802a14a9dde","observation_id":"e1245f91-50ca-44ad-be2c-cddc078818f9","resolution":{"observed_at":"2026-08-14T12:16:57.802100Z","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":{"arxiv_id":"1803.09894","last_updated":"2018-09-16T21:55:51Z","snapshot_observed_at":"2026-08-14T19:32:13.462103Z","submitted_at":"2018-03-27T04:37:20Z","title":"Multi-Scale Structure-Aware Network for Human Pose Estimation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.09894","snapshot_observed_at":"2026-08-14T12:16:57.449771Z","title":"Multi-scale structure-aware network for human pose estima- tion,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.449771Z"},"links":{"cited_paper":"/paper/1803.09894","citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:763a66467311ef5dcf7a2d2ccc45a6af47825c500aa12c238a85b9350613b507","observation_id":"c981d95d-aa6a-400e-b27a-0ba691c63044","resolution":{"observed_at":"2026-08-14T12:16:57.449771Z","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":"2026-08-14T12:16:57.774596Z","title":"Learning feature pyramids for human pose estimation,","venue":null,"work_id":"74c4a044-89bc-4618-8875-86fef7d94a76","year":2017},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.458047Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:da60d60aa61eef12b6d4c6a7e24564e18b8c3040562f5b46ef385013d4dffcbc","observation_id":"75ca6ec7-70ae-421c-ba19-80fb66ccae06","resolution":{"observed_at":"2026-08-14T12:16:57.781408Z","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":"2026-08-14T12:16:57.756472Z","title":"Realtime multi-person 2d pose estimation using part affin- ity fields,","venue":null,"work_id":"0adaa1b8-ad66-42a6-94c0-19f99e8c8b09","year":2017},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.466300Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:0b0085b7659ad2a0ca2df61b96d8dcc3a53bc063cb69c588e33003583416d81d","observation_id":"ffdad95b-c939-41ea-b755-52f75e07c8b0","resolution":{"observed_at":"2026-08-14T12:16:57.762748Z","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":"2026-08-14T12:16:57.739319Z","title":"Cascaded pyramid network for multi- person pose estimation,","venue":null,"work_id":"289bc46d-a031-4d37-945f-35cb285f81b5","year":2018},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.473651Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:9a581ae6f7e833357c91fc8381b8c9d5315c8122c6757ec0de7f1768447c74e6","observation_id":"6903e510-9ae0-4094-b446-afdd05504b2c","resolution":{"observed_at":"2026-08-14T12:16:57.744381Z","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":"2026-08-14T12:16:57.721616Z","title":"Deepercut: A deeper, stronger, and faster multi-person pose estimation model,","venue":null,"work_id":"c98ba082-d662-4f6e-914b-c4dacca72f8b","year":2016},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.484313Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:176fb9ff506fffeb350c2d6dbfa95e695363550e41848795ddada300b9bba928","observation_id":"0f4b5ddf-f9d3-4f5d-b61c-5fc2237611e2","resolution":{"observed_at":"2026-08-14T12:16:57.727511Z","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":"2026-08-14T12:16:57.702237Z","title":"Arttrack: articulated multi-person tracking in the wild,","venue":null,"work_id":"49a04720-b5e5-44f8-a91c-d418eb89aa28","year":2017},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.496011Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:d272f1e7ce0128a24ee3eb8b0fcbdb5bb76d6806936eccfd38ab25d7d6ae7297","observation_id":"462860ed-1d6b-4041-bd54-15cf8f87d28e","resolution":{"observed_at":"2026-08-14T12:16:57.707945Z","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":"2026-08-14T12:16:57.684511Z","title":"PhysioBank, PhysioToolkit, and PhysioNet: com- ponents of a new research resource for complex physiologic signals,","venue":null,"work_id":"33e7bde2-9597-456b-8681-56f22f5d9db1","year":2000},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.503818Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:3cfd01eeea998099db578394c678ebbf5dfdb38990963ccdd6c03583b2b76a5d","observation_id":"59def3e3-b1c5-46f3-b4eb-f8c97e28c2aa","resolution":{"observed_at":"2026-08-14T12:16:57.690066Z","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":"2026-08-14T12:16:57.663006Z","title":"Articulated human detection with flexible mixtures of parts,","venue":null,"work_id":"86ab2e0b-e53b-480d-a329-1bfd19c17175","year":2013},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.509867Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:abcf73fa5ac4e2ffaefecf00f32675a58df883e454e8825a31d85aed854db935","observation_id":"5ce3604c-3842-4724-82b5-1df48f32ce28","resolution":{"observed_at":"2026-08-14T12:16:57.672199Z","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":"2026-08-14T12:16:57.626908Z","title":"2d human pose estimation: New benchmark and state of the art analysis,","venue":null,"work_id":"a4bc38e9-275f-4584-9bda-44732f69396a","year":2014},"citing_paper":{"arxiv_id":"1908.08919","last_updated":"2021-05-18T19:15:25Z","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:16:57.515542Z"},"links":{"citing_paper":"/paper/1908.08919"},"observation_digest":"sha256:42769229f3ac52b5081ed1869dc51e185175107031445122aad23614bba984e4","observation_id":"e162174c-81e8-498a-aeb1-049717b2f1c2","resolution":{"observed_at":"2026-08-14T12:16:57.643100Z","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":"1908.08919","last_updated":"2021-05-18T19:15:25Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T04:42:48.124391Z","submitted_at":"2019-08-21T01:52:54Z","title":"In-bed Pressure-based Pose Estimation using Image Space Representation Learning"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":29},"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 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:1908.08919."}