{"as_of":"2026-08-17T18:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cfa5b95e8436c01d71737036ac03e615ef0e854b7511f29ab0145dc17e5fa670","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:12:38.536644Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.07736/citation-record","integrity":"/paper/1908.07736/integrity","json":"/paper/1908.07736/citation-record.json","paper":"/paper/1908.07736"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:12:39.450471Z","title":"Subchondral bone changes in hand and knee osteoarthritis detected by radiography","venue":null,"work_id":"c6500437-bc08-4427-a6a4-80cc50536fa2","year":2004},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.248867Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:e02fe0be6eca9301f12d993ec3763842713feca1681b74599b4ee69135868eef","observation_id":"43f1632c-70d3-4617-9286-41e556163ac7","resolution":{"observed_at":"2026-08-14T12:12:39.456009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.434120Z","title":"& Zee, B","venue":null,"work_id":"829d1b00-ad5e-4a09-be28-d3fbc99b5c48","year":1995},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.256857Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:52d1a9d0546538bb2c8ab3959da760041f25bb12f23f5e956da8b358ad918fe1","observation_id":"14f1ec7f-db52-46d4-aa7f-825355e08bc4","resolution":{"observed_at":"2026-08-14T12:12:39.439283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.417545Z","title":"& Buckland-Wright, J","venue":null,"work_id":"a4d3032e-259a-446a-988e-898dae1c98d0","year":1991},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.262166Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:964aa59178e24edd59beb84be259dbf7d191c3382aaa7de8b901c5542fcffc2b","observation_id":"c98f39ce-a5a1-4077-a850-d65afd9dd3ca","resolution":{"observed_at":"2026-08-14T12:12:39.423046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.401389Z","title":"& Lespessailles, E","venue":null,"work_id":"f98fa889-f2f7-411d-8971-e22b00933c5b","year":2017},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.268082Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:16d7680343d288a76e132c1386f7eb779e18fc6fee1da33ce44fa71cc0982e0e","observation_id":"a447c7ed-70b1-4646-80c6-0f798f3acda6","resolution":{"observed_at":"2026-08-14T12:12:39.406153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.384860Z","title":null,"venue":null,"work_id":"5fb98c7d-60eb-4ec9-8315-a54d9f220023","year":2017},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.273132Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:5a016291c22ada16be8840681a37621e24e7137341a36f59674d36e61d838836","observation_id":"fd792601-5ef4-43ae-8757-baa984d6277b","resolution":{"observed_at":"2026-08-14T12:12:39.390464Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.369300Z","title":null,"venue":null,"work_id":"d73747d6-9585-4ac5-9564-cf0503e7a7bd","year":2018},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.278927Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:b0c8cccce3db54fc99e28e4ed0ab9c3c2407ae501fcdc974aac67e0dba7820e5","observation_id":"ce8924e2-f135-4ad5-af5c-662579dff2bf","resolution":{"observed_at":"2026-08-14T12:12:39.374167Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.353743Z","title":"& Lespessailles, E","venue":null,"work_id":"f60e8f5d-8cb4-4d0b-bf2d-9a9e5b85756a","year":2014},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.286830Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:44795dc4b410db7045d1048aabb763b18d4f122e7673fa55d7ae8d77d131668b","observation_id":"d4430be5-e997-43de-ab9e-c0e9195415d4","resolution":{"observed_at":"2026-08-14T12:12:39.358618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.336251Z","title":null,"venue":null,"work_id":"6a56726c-d089-4ba4-9257-f43666aae78e","year":2018},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.292292Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:e389bcd7f9f7095d567f7a257769cd4ec2e108e685574bdd949ae764056a8d84","observation_id":"bb6f5645-3a0a-402c-bb46-f6b13202c479","resolution":{"observed_at":"2026-08-14T12:12:39.341498Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.319891Z","title":null,"venue":null,"work_id":"c58ce9f1-c4e6-43b1-a5f4-9a7f558f6c02","year":2014},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.297366Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:e8adddda8a4973f645c6195202cb3b7671e72e07531dae262afca82c8a8db199","observation_id":"06a75385-da1d-47fe-8e63-05b1ab13fcf6","resolution":{"observed_at":"2026-08-14T12:12:39.324914Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.303553Z","title":"& Englund, M","venue":null,"work_id":"22fc3dd2-574e-497b-9eb2-988b5935ec55","year":2010},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.303233Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:8042c3438dffabc697628c90a2415d5aeeef20055f43f28165cda916367daac9","observation_id":"45ab9167-f339-4e9b-822b-63db1bbb439f","resolution":{"observed_at":"2026-08-14T12:12:39.308654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.285342Z","title":null,"venue":null,"work_id":"be90a14e-34f1-48e1-8ce6-315f0d4d7f95","year":2015},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.309153Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:75be0582d4e2cc8ba1e0a0b73937808dd8350ad91bcf99f60142f69e063dfbf6","observation_id":"2d146c23-12f3-46e2-99c2-806b4287de65","resolution":{"observed_at":"2026-08-14T12:12:39.290966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.267421Z","title":null,"venue":null,"work_id":"ba963b2d-475e-4f18-abc9-90efd3ad1f41","year":2016},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.314202Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:50be24350382d04fad132a4a5c4c1ab5cd6bba655118cceeae15366c2677735e","observation_id":"b0ad63e6-dade-4868-a571-6ea008bd133a","resolution":{"observed_at":"2026-08-14T12:12:39.272978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.251111Z","title":"A., Ward, R","venue":null,"work_id":"fbaf0bc9-92ed-4521-adae-09c6bb737cd8","year":2005},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.319057Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:b061aa64d8756bb8713d21ab7fd35502ffcbf2a26c578cc24d70d6947b319a36","observation_id":"6f1c7c85-ee1a-4fa8-b649-b75012a9c888","resolution":{"observed_at":"2026-08-14T12:12:39.256234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.233347Z","title":null,"venue":null,"work_id":"b08d196f-4db1-44da-9bf6-1c33ac955706","year":2009},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.324633Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:fbe2d020d34cfbbb4432fea1a286e2f6db751bb388aaed0687be2639d05579cc","observation_id":"c283b67b-da45-4daa-8c00-b3299972d2eb","resolution":{"observed_at":"2026-08-14T12:12:39.239473Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.216928Z","title":null,"venue":null,"work_id":"66233f3c-26c1-4b83-88ab-a0786e54093b","year":2014},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.330632Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:4ff679af4afe24e98052978d0bde576ca1687c2960e75ec6deec00598479301c","observation_id":"ac5f55f1-f24b-4177-8e54-48565fc6f5db","resolution":{"observed_at":"2026-08-14T12:12:39.222355Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.200918Z","title":"& Saarakkala, S","venue":null,"work_id":"c7335bac-f253-482f-ae52-db23763d8d50","year":2018},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.337878Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:915745bf437a2041377dae70c0cfa9424dc4e8d280cb965635de13985b9b0ec7","observation_id":"908cbad1-de90-41fd-86d1-d9883cb29f86","resolution":{"observed_at":"2026-08-14T12:12:39.206293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.182022Z","title":"Clinical significance of bone changes in osteoarthritis in Arthritis Research & Therapy 14 (2012), A3 (on p","venue":null,"work_id":"57a77af9-61cc-4e0f-a9f9-371ea22987aa","year":2012},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.343486Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:3f885857cc46f9d14b9c702b1e104b406445f92d82c1299608347720dac3d54b","observation_id":"f43fc4ca-35d8-43c3-934d-6ba0bf726ee1","resolution":{"observed_at":"2026-08-14T12:12:39.188258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.06236","last_updated":"2019-05-06T13:56:21Z","snapshot_observed_at":"2026-08-15T17:03:11.346755Z","submitted_at":"2019-04-12T13:57:50Z","title":"Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.06236","snapshot_observed_at":"2026-08-14T12:12:38.349300Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.349300Z"},"links":{"cited_paper":"/paper/1904.06236","citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:337333d0808698f437c9ad51693371326b3119a7e37e0b4d3e87d1f0a8633f85","observation_id":"daf9c936-f076-46f7-b608-0c855d57bee7","resolution":{"observed_at":"2026-08-14T12:12:38.349300Z","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":"2026-08-14T12:12:39.165617Z","title":null,"venue":null,"work_id":"ddd89fac-45a8-4910-9aa0-f5839a9c02bb","year":2019},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.356835Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:1470c35371a73a144f408519f437885818e1fc8127feb780a061b78c48c37743","observation_id":"5fc95fe7-ba35-4df3-a961-22a6e78db273","resolution":{"observed_at":"2026-08-14T12:12:39.171017Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.148759Z","title":"& Cootes, T","venue":null,"work_id":"b2be67a7-df3c-42cc-a74d-39b34e600a9d","year":2016},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.362884Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:9858387abfda5703d531fb10b4a63c7cbfc478402344cf07c92b65fbfb892b8d","observation_id":"071c3c46-c5fb-43de-b27f-fc3b5434db90","resolution":{"observed_at":"2026-08-14T12:12:39.155140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.129842Z","title":null,"venue":null,"work_id":"a0f77d8c-2ad5-4731-8f86-40b9cd41b50c","year":2016},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.368123Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:2652cdb6fefacc2a4b36b85d1daff5727d82a03f2d20de00fb5e735d90dc6ace","observation_id":"32a3eef2-3fc0-4c6d-958e-8b7aa9f3c049","resolution":{"observed_at":"2026-08-14T12:12:39.135122Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.112271Z","title":"& Saarakkala, S","venue":null,"work_id":"fd388725-3f83-40b2-8a2f-d5c2ff7d329c","year":2019},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.372828Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:c97bfb6f008b48befb2d74e4a52af014cb6046c119f0c3c1512f46acfa44b636","observation_id":"9775984f-e9c9-4ee8-b1ad-aa7f39d46fca","resolution":{"observed_at":"2026-08-14T12:12:39.117378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.095265Z","title":null,"venue":null,"work_id":"78aea25f-dc90-4063-9ea0-51c5a489ad53","year":2018},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.377680Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:443f675b47ae82aabfb39deda3924dd79582d865c04b3d41a1db9ab127812af9","observation_id":"9dc171fa-69b9-4918-ad89-3caf360ec1b9","resolution":{"observed_at":"2026-08-14T12:12:39.100185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.077032Z","title":"Prediction of progression of radiographic knee osteoarthritis using tibial trabecular bone texture","venue":null,"work_id":"bcf38957-afc8-45e9-85ac-4a0e6a951318","year":2012},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.383506Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:4e9fad8361cdda60ab77528eb217dccefd9a9f9cc30edeca54b1cfe531d008a4","observation_id":"04f49ff8-06f3-4b94-a39a-21737006dd7d","resolution":{"observed_at":"2026-08-14T12:12:39.082669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.060224Z","title":"M., Wolski, M., Stachowiak, G","venue":null,"work_id":"c9ad088f-f01b-40a2-9eec-055fc34e5730","year":2014},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.389294Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:52d709863326495af9b77389defcbe5717b51486a93e15b076b53c7cf0d76ffc","observation_id":"5940f674-ce6a-48ad-a0eb-56bfc183d427","resolution":{"observed_at":"2026-08-14T12:12:39.065699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.042599Z","title":"& Stachowiak, G","venue":null,"work_id":"e7f99fc1-74f9-4c45-a09c-2c439a77768d","year":2009},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.394131Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:b614a1e7d522d7a3c86d205f3f5a1955d6f3688c57ec9cc9d549739a3dd9b44d","observation_id":"3d4dcdbe-c697-4176-8890-2534afb57ead","resolution":{"observed_at":"2026-08-14T12:12:39.047984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.025190Z","title":null,"venue":null,"work_id":"8b913053-d4c2-48db-b360-82fca1b3b192","year":2015},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.399013Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:d6a9d6d555f9c661492934683c772b8763611fabba34ef665a6a7e32af79a380","observation_id":"85b25a18-b8ca-488b-aabc-9e1c289a5cf4","resolution":{"observed_at":"2026-08-14T12:12:39.030855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:39.008650Z","title":null,"venue":null,"work_id":"908e7fc9-ec84-49a2-9749-af2157deb1e8","year":2009},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.404766Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:cafd084c240890b86a7a3c22c891328bdd1ef24e20c75cb5e85ec4e693647766","observation_id":"2cc295d6-73b2-4505-bb62-fe02af5d8ded","resolution":{"observed_at":"2026-08-14T12:12:39.013771Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.09296","last_updated":"2017-03-27T20:20:50Z","snapshot_observed_at":"2026-08-17T04:35:19.201382Z","submitted_at":"2017-03-27T20:20:50Z","title":"Femoral ROIs and Entropy for Texture-based Detection of Osteoarthritis from High-Resolution Knee Radiographs","version":1},"cited_work":{"arxiv_id":"1703.09296","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.09296","snapshot_observed_at":"2026-08-14T12:12:38.628477Z","title":"Femoral ROIs and Entropy for Texture-based Detection of Osteoarthritis from High-Resolution Knee Radiographs","venue":"cs.CV","work_id":"de7f2692-6524-4e24-860f-7141c3ab8910","year":2017},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.409484Z"},"links":{"cited_paper":"/paper/1703.09296","citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:ccc052773cfc164e06547b4bb10a82002b4d3367ca31b8478ea0aa1af03f0576","observation_id":"7522a73a-e73b-443d-8016-d12dcd4f5834","resolution":{"observed_at":"2026-08-14T12:12:38.634450Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.991268Z","title":null,"venue":null,"work_id":"6bcf487f-5073-4966-84ac-7f117520324b","year":2013},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.415023Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:bffec5198cb93018c4b31b0ab7a81b8f5e116853051692e3eab5dbb30933773b","observation_id":"46ed5f12-ebe9-438b-9a3d-e6b5457a86a9","resolution":{"observed_at":"2026-08-14T12:12:38.996561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.967924Z","title":"& Garg, R.Locally invariant fractal features for statistical texture classificationin 2007 IEEE 11th international conference on computer vision (2007), 1–8 (on p","venue":null,"work_id":"fb3eabc7-0ef8-4402-afbc-f162ef7b8981","year":2007},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.420095Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:b52f3b26f4814b49af81a1124fca57052b21dec6437ba24504a72bb99ffe3c04","observation_id":"f5631af9-232d-495c-bf58-49a254102c67","resolution":{"observed_at":"2026-08-14T12:12:38.973177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.951484Z","title":"& Buckland-Wright, J","venue":null,"work_id":"9ce7b659-0ea2-4472-b8f4-bb3874de05fd","year":1991},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.425546Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:b1079800a6a0ce7fa557d25e740fedfe2cd72afa79e0d95181342af36391ddd6","observation_id":"5142f396-a37e-40db-a135-4b059a00f126","resolution":{"observed_at":"2026-08-14T12:12:38.956502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.933333Z","title":"& Buckland-Wright, C","venue":null,"work_id":"1b309751-857e-4f33-afa7-7ec469fea222","year":2006},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.431000Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:f61a90b4a0cf6034fcd8fc8cd2ef1919ba9309a196de20fe99ddd73d5ca14251","observation_id":"06789310-d7d3-4ad6-9144-dccf79c70255","resolution":{"observed_at":"2026-08-14T12:12:38.939155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.916136Z","title":"& Kurzynski, M","venue":null,"work_id":"d994fc85-3e37-44ff-ada4-ca8745bdef04","year":2010},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.437358Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:3dd04258985f8fbb9709a1fd341304286e3be2ad200dc61f49a18548ed4f7da4","observation_id":"cece2821-c797-41ad-ae8c-e464c7019645","resolution":{"observed_at":"2026-08-14T12:12:38.921202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.901318Z","title":"& Stachowiak, G","venue":null,"work_id":"ee8892cf-be82-4f2b-9d52-75ba7e575987","year":2008},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.444993Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:ac3e5980403794b3b8f986745c7d3c737fa46445560af305c123e870baaec1b7","observation_id":"322cda97-dead-4593-9f31-6bb5df2190e9","resolution":{"observed_at":"2026-08-14T12:12:38.905985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.885052Z","title":"& Roemer, F","venue":null,"work_id":"c165a19e-d986-4ff4-9ad7-3bfe5616c0ff","year":2018},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.452398Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:7a6c4c4c38c9d375a1f63cb29e8f9c91a7bebff5456dc9053183ad60c3a63bd9","observation_id":"ff171460-754c-473a-be92-49d5e5c596b7","resolution":{"observed_at":"2026-08-14T12:12:38.890771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.864147Z","title":null,"venue":null,"work_id":"2272f096-83bc-4a47-bff9-6fb1c79aa74b","year":2013},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.459704Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:a33c0d5058623444d10098aa610330a3447ac2c1f86cf4bda53fedb4828d61c2","observation_id":"7ecafe15-7c3f-477b-8b18-3ff22dac1e90","resolution":{"observed_at":"2026-08-14T12:12:38.868831Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.848608Z","title":null,"venue":null,"work_id":"f8f81a4d-0f1f-4389-86dc-ea88cfa99a15","year":2012},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.464559Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:91900587d11ed5039e893544788382e2abc96ecf57af7d8df97aadf80375ffb1","observation_id":"4b5e0671-6340-406f-9be2-765dc6578e4c","resolution":{"observed_at":"2026-08-14T12:12:38.853802Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.833633Z","title":null,"venue":null,"work_id":"7218b753-289e-4c6b-bca7-94d5906891ba","year":2011},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.469389Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:f86bd161e14d9397cef5e40223490d5b920ab2849e3c6945541c489fa5e2ade2","observation_id":"3a3b47f7-2e86-4a32-98b3-cc15f4e15e55","resolution":{"observed_at":"2026-08-14T12:12:38.838238Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.817307Z","title":null,"venue":null,"work_id":"9760b3fe-ad1b-4a29-bb71-a3e9e224a629","year":2009},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.474133Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:37b7e87a14df5a36e4df6417ee37083f32c5eb55ab9ff769d6567b81dd25b1a0","observation_id":"32e289e8-8fec-4040-8545-6c70f587e215","resolution":{"observed_at":"2026-08-14T12:12:38.821989Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.800173Z","title":"& Gelsema, E","venue":null,"work_id":"a3c4eac6-41ea-498b-8d4c-fcfff0ab457b","year":1996},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.480007Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:e144ed05d9ac5ed57cd3bbfe8e91a3f3f035c7ee7d9cd9b892683ce84248cac6","observation_id":"fa452033-8e87-4f83-a28d-4a61e0b63673","resolution":{"observed_at":"2026-08-14T12:12:38.805977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.783027Z","title":"& M¨aenp¨a¨a, T","venue":null,"work_id":"02005abb-b5a7-4d0d-9a83-c38063e25c63","year":2000},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.484922Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:c4c1d553e57f77bc7e64796f53a54be8277bc96ef7191abfe4b3b5557a525408","observation_id":"675485b0-b312-4394-842a-6734824100f0","resolution":{"observed_at":"2026-08-14T12:12:38.787994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.765657Z","title":"& Triggs, B","venue":null,"work_id":"0c83eb0d-ceb9-416f-9963-24f411de8173","year":2005},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.490468Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:738077d2ba4174b36d5519e6d6b6281e55b1a95655ce19208509ef7b01833540","observation_id":"e9b257c1-cb5e-498a-bfa4-53d0fad0c2ea","resolution":{"observed_at":"2026-08-14T12:12:38.771046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.747435Z","title":null,"venue":null,"work_id":"6b344602-63b4-408f-9a28-26698d00235f","year":2016},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.496828Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:4a6be73d9276cf2f97f4d66880b367a35c223f40854b975c43f1cc2d9512825a","observation_id":"010c5b89-19c4-4a9f-8d89-9a2dc2be9992","resolution":{"observed_at":"2026-08-14T12:12:38.753158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1211.4907","last_updated":"2013-01-05T01:16:00Z","snapshot_observed_at":"2026-08-15T00:38:39.677894Z","submitted_at":"2012-11-21T00:51:10Z","title":"Mahotas: Open source software for scriptable computer vision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1211.4907","snapshot_observed_at":"2026-08-14T12:12:38.502808Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.502808Z"},"links":{"cited_paper":"/paper/1211.4907","citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:8ed5899974795c6c9edb5ed4013b7da2c957aff6c14da12a4ef211766e10f088","observation_id":"d962eae4-1ae7-4e3e-bf44-76bceb847356","resolution":{"observed_at":"2026-08-14T12:12:38.502808Z","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":"2026-08-14T12:12:38.729244Z","title":null,"venue":null,"work_id":"218532f0-c8f3-4a78-b4b0-2e8399feeacc","year":2011},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.507987Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:a7ea91a59d88cddf899fdaf2e515842f0bc60ce48b5a8f0386420cda4655d1a5","observation_id":"d6d8638c-7ce0-47bb-adff-cecd9309d4c8","resolution":{"observed_at":"2026-08-14T12:12:38.735491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.712745Z","title":"& Valderrabano, V","venue":null,"work_id":"3acd67a9-e47e-4e84-a077-9661cff4aee4","year":2012},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.512902Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:a11febbf0a68736ce7511018f21db12912daf03798f5f597b2feed1b5e6dd338","observation_id":"2776ffe7-2b66-451c-8668-681a4e1e7bdf","resolution":{"observed_at":"2026-08-14T12:12:38.717498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.695684Z","title":"& Brady, M","venue":null,"work_id":"85c683c9-cc01-4ef1-8c98-0f0bad032e07","year":2001},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.518003Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:27b6f30f3a4173f45334a46dc575db3a1152d9956e1be999092dbf140d399e2c","observation_id":"6d2cca78-fd8d-4025-891a-d0055c676a62","resolution":{"observed_at":"2026-08-14T12:12:38.701024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.678923Z","title":null,"venue":null,"work_id":"f09b882e-a78d-4cb4-8792-5e2385f89c7d","year":2019},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.523974Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:3d485b46c9c7a026d4b882ce541053cf6820eb43f034f798dd14626328ca64a9","observation_id":"f6601b3d-d175-4481-b42c-a240c0ff3075","resolution":{"observed_at":"2026-08-14T12:12:38.683998Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T12:12:38.662975Z","title":"& Saarakkala, S","venue":null,"work_id":"1d92d88e-58c7-4892-b93f-852201ea3b24","year":null},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.529933Z"},"links":{"citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:d74cb89f40c0fe83f0f1dbc7761e365e70262e0e00092ab2aedd0a8268cfd86b","observation_id":"1cec294b-492c-4468-bd18-517cfb6af630","resolution":{"observed_at":"2026-08-14T12:12:38.667956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.12237","last_updated":"2019-09-06T18:54:20Z","snapshot_observed_at":"2026-08-16T16:27:16.167321Z","submitted_at":"2019-07-29T07:18:54Z","title":"KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks","version":2},"cited_work":{"arxiv_id":"1907.12237","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.12237","snapshot_observed_at":"2026-08-14T12:12:38.580320Z","title":"KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks","venue":"cs.CV","work_id":"470f7b00-b843-481c-9a1e-c3ee0d571820","year":2019},"citing_paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-14T12:12:38.536644Z"},"links":{"cited_paper":"/paper/1907.12237","citing_paper":"/paper/1908.07736"},"observation_digest":"sha256:2e64624d8f74d885d2ac1439800f3f5d33f5e90da01cdae2a786a7a18c7a7dbf","observation_id":"da01e6f8-6a35-4bc1-a56d-0129b07b3973","resolution":{"observed_at":"2026-08-14T12:12:38.590284Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.07736","last_updated":"2019-08-21T07:48:02Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T22:23:12.361789Z","submitted_at":"2019-08-21T07:48:02Z","title":"Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":51},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1908.07736."}