{"as_of":"2026-08-12T13:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83c27ce09d8266a61871eea582c09dbfad5bfd7305a6953ca753603b91dd615f","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T19:26:21.290910Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.10098/citation-record","integrity":"/paper/2501.10098/integrity","json":"/paper/2501.10098/citation-record.json","paper":"/paper/2501.10098"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.09232","last_updated":"2018-03-21T13:39:45Z","snapshot_observed_at":"2026-07-06T06:25:18.780115Z","submitted_at":"2018-02-26T10:16:48Z","title":"2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning","version":2},"cited_work":{"arxiv_id":"1802.09232","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.09232","snapshot_observed_at":"2026-08-10T19:26:22.347251Z","title":"2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning","venue":"cs.CV","work_id":"78c3a029-22d8-401b-b452-41f289225804","year":2018},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.075030Z"},"links":{"cited_paper":"/paper/1802.09232","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:a2e1e6d11154a1e7035827f5913f658d1a03e7d8a26bf08aedc18476c4a059ca","observation_id":"47473973-c668-4eaa-b9ec-f07fc593a2d7","resolution":{"observed_at":"2026-08-10T19:26:22.353125Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T19:26:22.545016Z","title":"Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation","venue":null,"work_id":"5d0867c9-da33-4032-81a1-49ef25b62100","year":2014},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.081134Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:70169bb92d71b5075cae6a53ef005912fda228272d1ed02026c6e968f31d04f0","observation_id":"42a9fde1-6d34-4e01-8a11-02e1566c14eb","resolution":{"observed_at":"2026-08-10T19:26:22.550131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-319-46484-8_29","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.520506Z","title":"Stacked Hourglass Networks for Human Pose Estimation","venue":null,"work_id":"dd851328-d47b-47e8-8b65-43f893cd0648","year":2016},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.086793Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:ccbca42747fbebdb7f98f7ec84c045122dbddd2f393ae21ad5351e8e6fb5a7bb","observation_id":"19917826-09eb-4121-bafd-bc59499ed519","resolution":{"observed_at":"2026-08-10T19:26:21.525887Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T19:26:22.528448Z","title":"STAR Loss : Reducing Semantic Ambiguity in Facial Landmark Detection","venue":null,"work_id":"c4fd71b9-f196-4a66-8334-18b1feff4ad3","year":2023},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.092735Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:6f8181836e535151f521fc86eaa1231d48baed8512605f664d3d076f225ca112","observation_id":"a97c4bdd-315f-4b79-998a-8a392b09e418","resolution":{"observed_at":"2026-08-10T19:26:22.533967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.098076Z","title":"Marks, Wenxuan Mou, Chen Feng, and Xiaoming Liu","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.098076Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:4097d74ca5401d223c8b7eba4aafb3c47b70c55fac6264360e880e2af7af7b05","observation_id":"73ddd112-f69b-4506-a4f4-6da643f702d3","resolution":{"observed_at":"2026-08-10T19:26:21.098076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.11827","last_updated":"2020-03-26T10:53:26Z","snapshot_observed_at":"2026-08-07T08:23:40.743047Z","submitted_at":"2020-03-26T10:53:26Z","title":"Fashion Landmark Detection and Category Classification for Robotics","version":1},"cited_work":{"arxiv_id":"2003.11827","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.11827","snapshot_observed_at":"2026-08-10T19:26:22.235554Z","title":"Fashion Landmark Detection and Category Classification for Robotics","venue":"cs.LG","work_id":"96fa9d3d-3b2d-4171-afbb-80055e66e536","year":2020},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.103844Z"},"links":{"cited_paper":"/paper/2003.11827","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:7b0db94359b4f799acecd6fe929ef54ffb885fb6a3149dc613499cd12053912d","observation_id":"7cb24fc0-b4eb-48a1-8989-dc9db2caa70b","resolution":{"observed_at":"2026-08-10T19:26:22.241525Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11548-021-02523-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.503539Z","title":"Point detection through multi-instance deep heatmap regression for sutures in endoscopy","venue":null,"work_id":"1820bee2-a001-49ba-b53c-31a8bc6dc8ff","year":2021},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.110692Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:db858867ad7d501a97f43d18c698f537be77b8ba8282bfdbfc20db736074e967","observation_id":"471b6186-0f7f-4111-ae8f-32dd260d640e","resolution":{"observed_at":"2026-08-10T19:26:21.509090Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1117/1.jmi.10.1.014007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.486919Z","title":null,"venue":null,"work_id":"a9264a1a-1180-4948-a4d6-be3b768356ff","year":2023},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.116702Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:ef24439395d798f0907d1c8d776a886eadd2f7082f73d2808d6c4b2d14f2360a","observation_id":"26338371-58a3-4701-8296-98f98f6052ad","resolution":{"observed_at":"2026-08-10T19:26:21.492552Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10278-022-00766-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.469599Z","title":"Vieira, Maria Tereza Campos Vidigal, Bruno Augusto Nassif Travençolo, Thiago Leite Beaini, Rubens Spin-Neto, Luiz Renato Paranhos, and Rui Barbosa de Brito Júnior","venue":null,"work_id":"774e2776-d584-4d77-b708-3689837139a5","year":2023},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.122257Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:e6e17beb1aee2e3b8735ce33e50ce968ae6ff81e4cbfef0b2b03c38a672d33d3","observation_id":"a2168d7f-5b48-4ee2-8ac3-6ede5dae41a8","resolution":{"observed_at":"2026-08-10T19:26:21.475601Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.10591","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:22.210810Z","title":"Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network ( FlatNet ) on weight-bearing lateral radiographs of the foot","venue":null,"work_id":"c41b01e8-b1ad-45a6-8cfe-ce44996b88a1","year":2022},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.127537Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:3fef95b302f0370fc9ea0ceb49fa2569573f90f8f0eee7306b7320f69754b813","observation_id":"9a0b3c78-bf38-415e-9599-455e3a0d3cce","resolution":{"observed_at":"2026-08-10T19:26:22.219149Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/2057-1976/ac8ffa","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.452317Z","title":"Learning-based landmark detection in pelvis x-rays with attention mechanism: data from the osteoarthritis initiative","venue":null,"work_id":"74fdd033-8508-4c78-a5a7-2896dcb66b4c","year":2023},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.133150Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:49fa9cdd47c32929461c5d37346ba1b6a7837be79ca45db9380f5e55f6c54e50","observation_id":"bdd71304-d4cd-496a-9f26-f94880bbdefe","resolution":{"observed_at":"2026-08-10T19:26:21.458168Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.138375Z","title":"Integrating spatial configuration into heatmap regression based CNNs for landmark localization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.138375Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:6236af91213d9afbfe601cc292bcb0461c18938ba84b6eea3f0502038df87046","observation_id":"66c0ba51-76b4-476a-9495-e093ce41a2ec","resolution":{"observed_at":"2026-08-10T19:26:21.138375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.09533","last_updated":"2021-09-21T12:03:09Z","snapshot_observed_at":"2026-08-04T09:35:48.477982Z","submitted_at":"2021-09-20T13:31:58Z","title":"Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization","version":2},"cited_work":{"arxiv_id":"2109.09533","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.09533","snapshot_observed_at":"2026-08-10T19:26:22.132762Z","title":"Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization","venue":"cs.CV","work_id":"52cbae9c-1e69-4c8a-aefd-8c1eb8b027c2","year":2021},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.143272Z"},"links":{"cited_paper":"/paper/2109.09533","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:958a7b59ca7d00031b140942be7044080a47927e6c4df25fd5ae7a7d3df9a66f","observation_id":"75952bff-39ac-49f0-ab8e-ef97c807f36a","resolution":{"observed_at":"2026-08-10T19:26:22.139614Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/mrm.25368","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Weinstein, Emily F","venue":"Magnetic Resonance in Medicine","work_id":"f4ccaf9a-9581-4c7e-a166-f3a6948a3c63","year":2015},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.148496Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:7af423ff67e3f3ac9f316d99e99fc3a0c873cc679c19e1dba0f568a3789d4063","observation_id":"461a0a44-7616-467a-87be-0395b6f8dd00","resolution":{"observed_at":"2026-08-10T19:26:21.429837Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T19:26:22.512270Z","title":"Harrison, Jing Xiao, Gigin Lin, and Le Lu","venue":null,"work_id":"6b1e143a-0b6d-409d-af41-dc547ca9c91e","year":2021},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.153331Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:3aed1baabfd29e20bb0b91a35ae78d5de8a757d1fbb4b47cdcd1799a9366aff8","observation_id":"8625e686-370d-41eb-9e17-654ee9466981","resolution":{"observed_at":"2026-08-10T19:26:22.517415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.158297Z","title":"OpenPose : Realtime Multi - Person 2D Pose Estimation Using Part Affinity Fields","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.158297Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:a1fa5c2bfb2a08550438d5305b7e239a10423b41d229ef131717aa78b9895368","observation_id":"8006f7fc-64ad-453d-ba2f-4374ba5a1664","resolution":{"observed_at":"2026-08-10T19:26:21.158297Z","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":"2026-08-10T19:26:22.496539Z","title":"Ultralytics YOLO , January 2023","venue":null,"work_id":"0b32a8eb-90f8-4ac7-b18a-e5051eab34f6","year":2023},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.162908Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:39fc933162cfb7b6b05b9820efa30db368f46625d02d0c95344a7c6e056f10fd","observation_id":"2a8efdc9-c496-46e2-8c78-73a4129ce5c0","resolution":{"observed_at":"2026-08-10T19:26:22.501503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T19:26:22.479556Z","title":"OpenMMLab Pose Estimation Toolbox and Benchmark , August 2020","venue":null,"work_id":"d1106156-3ed1-4182-a244-93a9bfe48a7a","year":2020},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.167421Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:13092f22ce7775cdcc90b56065dd8da254e5ca98acf07e036b628e25db1a4675","observation_id":"cf46bfe1-b633-4031-a7e9-314611f5de8b","resolution":{"observed_at":"2026-08-10T19:26:22.485180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.172397Z","title":"PyTorch Lightning , March 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.172397Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:854aed0aad8aa8c7291fdaa1fe21e6db0143fccb65c46f3966d151ad59eed02d","observation_id":"f14f5529-e846-4b46-b827-3542de0224aa","resolution":{"observed_at":"2026-08-10T19:26:21.172397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.178004Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.178004Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:ec4dcb833e2c0e38ead524e1be2e0a56a0c4378a434531b8cee77b1bbc24d32b","observation_id":"e498592c-5ae3-405e-a1f7-d9f272289d41","resolution":{"observed_at":"2026-08-10T19:26:21.178004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-030-60365-6_5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps","venue":"Lecture notes in computer science","work_id":"96a91ea8-1f5b-4441-93cb-3ffa10bff30b","year":2020},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.182638Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:f60a7f2ece40c9e6b79a538df533465f9250a7445562f618f47e67e64d74ca7c","observation_id":"503a1115-095b-45fb-9c2d-46ce36394d46","resolution":{"observed_at":"2026-08-10T19:26:22.457950Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.01070","last_updated":"2019-08-02T21:18:50Z","snapshot_observed_at":"2026-08-05T07:35:03.614044Z","submitted_at":"2019-08-02T21:18:50Z","title":"Adaloss: Adaptive Loss Function for Landmark Localization","version":1},"cited_work":{"arxiv_id":"1908.01070","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.01070","snapshot_observed_at":"2026-08-10T19:26:21.945531Z","title":"Adaloss: Adaptive Loss Function for Landmark Localization","venue":"cs.CV","work_id":"21e08b82-77bf-44a6-80d0-274bf61d604e","year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.187492Z"},"links":{"cited_paper":"/paper/1908.01070","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:0d114c2b3e72fa88d7c6cc41fa92f5f7ca343788d2ff5e6c5f600f502ad9794d","observation_id":"10954a89-69bf-40bf-bb51-8f866bc5f2bf","resolution":{"observed_at":"2026-08-10T19:26:21.951325Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.192737Z","title":"Contour- Hugging Heatmaps for Landmark Detection","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.192737Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:b92af4993ae7b65b6c9ccc2524927c8cb538a02121ff3aba05b98be74ff9d23c","observation_id":"87fdbb4e-dd1a-4063-ac28-64f267a6cb79","resolution":{"observed_at":"2026-08-10T19:26:21.192737Z","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":"2026-08-10T19:26:22.434751Z","title":"Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, and Chen Feng","venue":null,"work_id":"f31b246a-6e56-41f2-9498-98f86ddea4b1","year":2020},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.197375Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:11eb8336c7e4eeee46513a1f5075d157ce974f78c16b30a33378e2216f0a4ac7","observation_id":"2b0198a5-f4ed-471f-91ea-9b4000ac2e03","resolution":{"observed_at":"2026-08-10T19:26:22.440701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-16437-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"CephalFormer : Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection","venue":"Lecture notes in computer science","work_id":"8b79e7d4-31ec-4ed5-8de7-c73d0f9c2883","year":2022},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.201975Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:3193ac60537b1bb1919105100589dc52fe1f6a9e24366d7b066e36876c87e5ec","observation_id":"050d65c0-b597-4fcb-918f-ef63fc6dca7d","resolution":{"observed_at":"2026-08-10T19:26:21.412756Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/app10072547","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.388774Z","title":"Automatic Cephalometric Landmark Detection on X -ray Images Using a Deep - Learning Method","venue":null,"work_id":"025349f2-c786-42d6-a67f-3813e7b223de","year":2020},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.207464Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:2a9c7f23c8eebfa166737719b0f9337c83a266a91dafbe3211afc61f843953e2","observation_id":"c1942d51-255d-4ca2-b374-c7150bcfe937","resolution":{"observed_at":"2026-08-10T19:26:21.394535Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.212817Z","title":"An Attention - Guided Deep Regression Model for Landmark Detection in Cephalograms","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.212817Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:e004d4915d65d070e5a4474aeceee8ba1c8fe5fa275c6fb001ffa6cd0699c7a6","observation_id":"b11699ab-3b23-4a84-8e85-f84afa5b68d6","resolution":{"observed_at":"2026-08-10T19:26:21.212817Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.10373","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.843987Z","title":"Intelligent analysis of coronal alignment in lower limbs based on radiographic image with convolutional neural network","venue":null,"work_id":"eedf45cb-3d9f-4d9c-9cc9-c66b0ce2bd57","year":2020},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.218766Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:4adab765d7e982d997c11d5511a269226bc0924cc434158e7e71a838a92cc56b","observation_id":"400512dd-5995-4727-86c0-55b8ea56cdb3","resolution":{"observed_at":"2026-08-10T19:26:21.852539Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00450-010-0139-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.360346Z","title":"Model-based segmentation of pediatric and adult joints for orthopedic measurements in digital radiographs of the lower limbs","venue":null,"work_id":"6f30033b-409c-480b-85e8-aafbadc8f690","year":2011},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.224204Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:81276c1f812917303d98da27f812c3fc5bac034d4fa673514fd049b802beaf2c","observation_id":"a7bbfe7c-a0e9-41c0-a69c-9725069139c7","resolution":{"observed_at":"2026-08-10T19:26:21.366582Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s13246-020-00951-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.337309Z","title":"Automated measurement of hip–knee–ankle angle on the unilateral lower limb X -rays using deep learning","venue":null,"work_id":"5611cf05-5298-42ed-bcdf-9ebacb44c8a0","year":2021},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.229860Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:d2cce57450e907aa470f18dd4f05925dab5b335ab42554ae5dffb681918eeaf0","observation_id":"ff4bcf32-97c9-4463-b66a-1925cc219c94","resolution":{"observed_at":"2026-08-10T19:26:21.345860Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01703","last_updated":"2019-12-03T22:06:05Z","snapshot_observed_at":"2026-07-06T08:41:49.632205Z","submitted_at":"2019-12-03T22:06:05Z","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01703","snapshot_observed_at":"2026-08-10T19:26:21.235576Z","title":"PyTorch : An Imperative Style , High - Performance Deep Learning Library , December 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.235576Z"},"links":{"cited_paper":"/paper/1912.01703","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:2a98f539aabbf0e3b597e2200cc9ab3e7473b98a5f10b5f8b7ffbf7f8c1841ca","observation_id":"d7db8a88-f135-47bd-9da4-4910002efaa9","resolution":{"observed_at":"2026-08-10T19:26:21.235576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.02701","last_updated":"2022-11-04T18:35:00Z","snapshot_observed_at":"2026-07-06T14:14:38.788226Z","submitted_at":"2022-11-04T18:35:00Z","title":"MONAI: An open-source framework for deep learning in healthcare","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.02701","snapshot_observed_at":"2026-08-10T19:26:21.241236Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.241236Z"},"links":{"cited_paper":"/paper/2211.02701","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:43b51127a91d5948bb7593a9c06e26155312542635a39de3ccf8207de89b8044","observation_id":"6ade573e-dd92-4be5-a2ad-ff196e60717c","resolution":{"observed_at":"2026-08-10T19:26:21.241236Z","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":"2026-08-10T19:26:22.417776Z","title":"Labelme: Image Polygonal Annotation with Python , August 2024","venue":null,"work_id":"ec37e80e-24e4-4538-bee0-818bf9929956","year":2024},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.247126Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:0cbc59ee6bb0c477217eb3790a6b31d2fbeceaec5cd599dd152650c1b20d7aeb","observation_id":"cb06e7a5-4748-488b-8872-70bd2f353452","resolution":{"observed_at":"2026-08-10T19:26:22.423341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.252235Z","title":"Cootes, and Claudia Lindner","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.252235Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:da725edc4a7a058a37eb17934323dc74dedd476a782affa8bc531541aac0b4a7","observation_id":"dc70be66-173c-4de1-951a-3c8dd0b60597","resolution":{"observed_at":"2026-08-10T19:26:21.252235Z","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":"2026-08-10T19:26:22.399428Z","title":"Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, and Yaser Sheikh","venue":null,"work_id":"d91f1ff3-4b0e-4565-93b9-ce6c86e4de1e","year":2018},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.257735Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:b147ee66adef39b8b4b1f15a6c98456906c88410f34e9e07be556d194d0afbae","observation_id":"5b372f8c-f310-484f-9d69-ae8009ef0bb8","resolution":{"observed_at":"2026-08-10T19:26:22.404730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02360","last_updated":"2021-11-03T17:21:28Z","snapshot_observed_at":"2026-08-09T04:50:08.147504Z","submitted_at":"2021-11-03T17:21:28Z","title":"Subpixel Heatmap Regression for Facial Landmark Localization","version":1},"cited_work":{"arxiv_id":"2111.02360","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.02360","snapshot_observed_at":"2026-08-10T19:26:21.699978Z","title":"Subpixel Heatmap Regression for Facial Landmark Localization","venue":"cs.CV","work_id":"1304e7e7-0704-4728-9dd6-11026fce2461","year":2021},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.263541Z"},"links":{"cited_paper":"/paper/2111.02360","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:9a7ff5110c81f4620ad89e1f2f59c7d261b7e398b663be0b6175dd4e4f7c3940","observation_id":"9aaec54a-b8e3-48f1-8b9b-506722d297af","resolution":{"observed_at":"2026-08-10T19:26:21.706274Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.07372","last_updated":"2018-05-03T22:19:39Z","snapshot_observed_at":"2026-08-10T09:05:44.080626Z","submitted_at":"2018-01-23T02:18:04Z","title":"Numerical Coordinate Regression with Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.07372","snapshot_observed_at":"2026-08-10T19:26:21.269293Z","title":"Numerical Coordinate Regression with Convolutional Neural Networks , May 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.269293Z"},"links":{"cited_paper":"/paper/1801.07372","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:a4318602c394d78fc9c7bcc80a9dc09ddc906e53961389c008de150bb9404fe1","observation_id":"d996c1ce-0a5d-450d-b3ed-f206cf0a54a5","resolution":{"observed_at":"2026-08-10T19:26:21.269293Z","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":"2026-08-10T19:26:22.382207Z","title":"Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks","venue":null,"work_id":"3bdfc882-7c50-45cd-a558-5f1df8a8b244","year":2018},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.275018Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:4873230562481aba0f4c7213bce861a0acc9e3a5d5aabde307b75b3800a471a1","observation_id":"ccb21327-9593-4204-8d0f-8bbeb27e61e8","resolution":{"observed_at":"2026-08-10T19:26:22.387827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T19:26:22.365549Z","title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","venue":null,"work_id":"a2e6e621-303f-4084-9ea8-9143c6f11244","year":2019},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.280300Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:e934a82f41c4df89507291fb2c934db899a3fdf128582d23d361284f1a1f43f6","observation_id":"be4c5c71-7733-4666-b489-d933a3e2ded5","resolution":{"observed_at":"2026-08-10T19:26:22.371261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.12705","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:26:21.655781Z","title":"Anchor Ball Regression Model for large-scale 3D skull landmark detection","venue":null,"work_id":"05017c5b-5742-4a02-a217-01b7457b7923","year":2024},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.285719Z"},"links":{"citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:335505a16ded332328c0bdbbcb0de4f83b9c536a025284a17410e7796b04111f","observation_id":"6733a813-99a3-40b8-8839-9b03e9500f9f","resolution":{"observed_at":"2026-08-10T19:26:21.664396Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14106","last_updated":"2025-03-18T10:21:32Z","snapshot_observed_at":"2026-08-07T16:55:19.637269Z","submitted_at":"2025-03-18T10:21:32Z","title":"Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction","version":1},"cited_work":{"arxiv_id":"2503.14106","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.14106","snapshot_observed_at":"2026-08-10T19:26:21.544271Z","title":"Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction","venue":"cs.CV","work_id":"aa9b3ec8-442a-45a4-aa85-8168d1f6b6d6","year":2025},"citing_paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T19:26:21.290910Z"},"links":{"cited_paper":"/paper/2503.14106","citing_paper":"/paper/2501.10098"},"observation_digest":"sha256:e62325f5ff34ac0e0a249de30a49c5bd9ca2b77e8f159eef051cac36fd231ee5","observation_id":"6665161c-39e8-4519-a215-26e39119de46","resolution":{"observed_at":"2026-08-10T19:26:21.550759Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.10098","last_updated":"2025-05-05T15:41:55Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T19:21:20.994540Z","submitted_at":"2025-01-17T10:35:58Z","title":"landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":1,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":10,"verified_exact":16,"verified_fuzzy":10},"total_outbound_references":41},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.10098."}