{"as_of":"2026-08-08T12:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3fe5bc423ada44caafd2bf493158fe1dc6ff81b69d061093e21603a83bd92acd","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:08:59.831688Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2505.22551/citation-record","integrity":"/paper/2505.22551/integrity","json":"/paper/2505.22551/citation-record.json","paper":"/paper/2505.22551"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/jbmr.4172","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:04.130645Z","title":"McCloskey, Anders Oden, Nicholas C","venue":null,"work_id":"bea03e11-f057-4e17-8efc-5039b5455dc5","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.136677Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:1ae72a12a933e20e06df1f2e6572fb39094a96cec0c4942ed1c8cf2afa220e55","observation_id":"f6e9890d-f6c9-408d-8643-9d7757336a50","resolution":{"observed_at":"2026-08-07T13:09:04.210208Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:11.438722Z","title":"Osteoporosis in the european union: medical management, epidemiology and economic burden.Archives of Osteoporosis, 8(1):136, 2013","venue":null,"work_id":"c8c917bc-cec7-4c39-b4bb-c6424ac20363","year":2013},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.294112Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:94ca4562ebe1226d87cde6d170f26d01db723fd10e230206ddab8b41f1c80263","observation_id":"64436a5f-c06d-46b0-9b0b-4d1700624c29","resolution":{"observed_at":"2026-08-07T13:09:11.602877Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41574-020-0341-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:03.881058Z","title":"Pathogenesis of glucocorticoid-induced osteoporosis and options for treatment.Nature Reviews Endocrinology, 16(8):437–447, 2020","venue":null,"work_id":"cbe0cc99-d910-4834-b44b-bb21da759973","year":2020},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.411671Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:cb7f15245045ce51b7ebe2e3cb6314eb31a18b67c6ba4fe3fba2b8a05d6323f3","observation_id":"4e3c89da-5304-4ac4-af84-1c005e32e5df","resolution":{"observed_at":"2026-08-07T13:09:04.006957Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:11.170167Z","title":"Assessment of osteoporosis at the primary health care level, 2007","venue":null,"work_id":"e2d0799a-c5e8-43b8-8a55-599b83680182","year":2007},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.531584Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:048f4539ef223a556d1918f741e7a857da63cb7fa885e2f35c31478416a1e355","observation_id":"66eccc51-df1b-4476-82c1-4a1840343743","resolution":{"observed_at":"2026-08-07T13:09:11.289670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:10.928156Z","title":"Dermatologist- level classification of skin cancer with deep neural networks.Nature, 542(7639):115–118,","venue":null,"work_id":"844c1654-7fa1-4b52-9466-e5db2da99b10","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.690680Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:b31831f68cbdacd33045909f1cc95ad29ed04ff9e4fb3075dab93429f727f9ae","observation_id":"4fc2093d-a9f2-4161-8eec-0726c6130da5","resolution":{"observed_at":"2026-08-07T13:09:11.051405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:10.677791Z","title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.JAMA, 316(22):2402–2410,","venue":null,"work_id":"e30a3e4e-c9bc-49f6-bbfb-fd4c8932813a","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.959981Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:5088538cbc60c1688613cf042eaff62e3edab0d3f32585a9f86ef54fa29e49f4","observation_id":"63901154-6df7-4879-bfc9-738c69cdf102","resolution":{"observed_at":"2026-08-07T13:09:10.770801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:10.486306Z","title":"Deep learning for osteoporosis classifi- cation using hip radiographs and patient clin- ical covariates.Scientific Reports, 10(1):1534,","venue":null,"work_id":"bf72c4bb-95f0-4694-8e2b-a8192fe7ba0b","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.207350Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:be3007c1fb3df2c2478dc99bd7215b1f3257dea3efac9437dee15f66dc2a55b8","observation_id":"9b87be81-f6a8-4e5f-bf3b-c8249b0ddbba","resolution":{"observed_at":"2026-08-07T13:09:10.578787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/ryai.2019180001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:03.384002Z","title":"Convolutional neural networks for automated fracture detection and localiza- tion on wrist radiographs.Radiology: Ar- tificial Intelligence, 1(1):e180001, 2019","venue":null,"work_id":"1443c2ee-70df-4d9d-a01e-970b7020526b","year":2019},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.491547Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:9ed2887c671d40eb3e8783bb33a8bd852612db8d384f3f09d29bbd44b3cd2c34","observation_id":"52b81854-a9c0-45a0-b1ff-50d5c4c4cf98","resolution":{"observed_at":"2026-08-07T13:09:03.541078Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3389/fmed.2023","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:03.117291Z","title":"Analysis of ai applications in os- teoporosis and fracture risk assessment: A systematic review.Frontiers in Medicine, 10:1198954, 2023","venue":null,"work_id":"644288ff-aa0b-4bd5-9ca4-5294e37bb3b0","year":2023},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.653617Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:28bc5cf0291a50ab00c9104510e1478f76ca3be523394e1481bb020ed0deebff","observation_id":"7a429994-75eb-4c8a-be8d-8cc085670a63","resolution":{"observed_at":"2026-08-07T13:09:03.243240Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/ryai.210229","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:02.849966Z","title":"Deep learning for prediction of bone mineral den- sity from hand radiographs.Radiology: Ar- tificial Intelligence, 4(3):e210229, 2022","venue":null,"work_id":"bcc1c4f2-733f-465d-b798-8e69325d6ffd","year":2022},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.777919Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:553f32a2f65746c9402d711e976fb6eb17acf85cf9bade0c4730450516a681af","observation_id":"c68a3da3-234b-4b54-9110-7d264d48a72a","resolution":{"observed_at":"2026-08-07T13:09:02.987315Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1097/rct.0000000000001115","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:02.549046Z","title":"Surapaneni, Richard Friedman, and M","venue":null,"work_id":"f0a3d7b3-7315-433e-a073-0ca957248e96","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.902923Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:cd12f1f4b3cb84804f281777ae805d79ccf7325134562a1b44a177976804a3fb","observation_id":"bfe2d7fd-3d12-4bb8-937c-2d1b227a436a","resolution":{"observed_at":"2026-08-07T13:09:02.699888Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/ryai.220172","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:02.270351Z","title":"King-Smith, Danyal Kamil, Unaiza Khalid, Yuli Luo, Leon Rybak, Yilan Zhou, Ashish Saha, Shobhit Teki, Moro O","venue":null,"work_id":"7967aa69-f80b-4872-9686-be35dba8e8d3","year":2023},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.036374Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:ffd8f4bf819b31dda61f1a99c88eef4abab4addc6c5ff97bae184bb68bba799a","observation_id":"bfcad72b-1e33-40e7-aedd-6149f719a166","resolution":{"observed_at":"2026-08-07T13:09:02.383620Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:10.184154Z","title":"Hand x-ray- based deep learning models for prediction of osteoporosis: a comparative study using the osteohand dataset.EBioMedicine, 88:104416,","venue":null,"work_id":"ed20416c-538d-4149-ae04-7596c2cb8a48","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.176363Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:f326734b4a6256cd0cc5d91acd2d875f8209d36962909148f9442105f5513429","observation_id":"6f2965fa-fb5c-4ecc-bb20-bdf76416de9e","resolution":{"observed_at":"2026-08-07T13:09:10.348880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07511","last_updated":"2022-12-07T05:08:01Z","snapshot_observed_at":"2026-07-06T11:29:34.579530Z","submitted_at":"2021-07-15T17:59:50Z","title":"A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07511","snapshot_observed_at":"2026-08-07T13:08:55.446003Z","title":"Angelopoulos and Stephen Bates","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.446003Z"},"links":{"cited_paper":"/paper/2107.07511","citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:da80329fb1ac729f955702501c72fd16da92c6844e91098cccd25c9f65776a5a","observation_id":"a74dd716-7a61-4324-b4dc-823dd279a1c9","resolution":{"observed_at":"2026-08-07T13:08:55.446003Z","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":"2026-08-07T13:08:55.570770Z","title":"Secondopinionneeded: commu- nicating uncertainty in medical machine learn- ing.npj Digital Medicine, 4(1):4, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.570770Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:0393f0f34b5693ea41d65960396cfbb93e37892b72c79b68e0e320b04f583f72","observation_id":"99053610-5389-4cc5-990c-5cc672e796b0","resolution":{"observed_at":"2026-08-07T13:08:55.570770Z","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":"2026-08-07T13:09:09.901955Z","title":"Harrison, and Shun Miao","venue":null,"work_id":"a8de8f86-b5e0-4b8a-b6c5-95426251de18","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.745509Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:7107d7deabe6f9f27fb15f742a00e55d9946e391941c80e90f1bd5b8aa92f655","observation_id":"e13a096f-0b69-4bb9-8c22-cc389aa18836","resolution":{"observed_at":"2026-08-07T13:09:10.053648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/biomedicines10092323","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:01.964235Z","title":"Deep learning for bone mineral density and t-score prediction from chest x-rays: A multicenter study.Biomedicines, 10(9):2323, 2022","venue":null,"work_id":"647b78a8-c8d7-4226-86a6-6534e99bd737","year":2022},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.867070Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:18004fdd449bc87ce0ba75a37ed966feb7d045eb088bf4d3d908803ba4452eaa","observation_id":"b415d07a-7cc9-40d3-bf5f-442fb2821c13","resolution":{"observed_at":"2026-08-07T13:09:02.083686Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21037/jmai-23-10","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:01.702305Z","title":"Syme, Alexan- der Bilbily, Saba Zuberi, Maksims Volkovs, Tomi Poutanen, and Mark D","venue":null,"work_id":"61d5eebf-4e44-45ec-9bfa-d4d8e7c73937","year":2023},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.995528Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:32f91c691771d352cee37fe0823960c9c73887649c121df62e2287b0201799c7","observation_id":"ee0c0112-752c-42b9-a5e3-347c4186f998","resolution":{"observed_at":"2026-08-07T13:09:01.840488Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:09.610721Z","title":"Automated bone mineral density predic- tion and fracture risk assessment using plain radiographs via deep learning.Nature Com- munications, 12:5472, 2021","venue":null,"work_id":"a76bf596-07c2-4d65-bae6-27bd1b66b107","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.143031Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:88383defd7d8dccc37a52b8ba6fb47d6cc8ea802ae5dffaf0fb7181e44cce964","observation_id":"57704eff-e23d-4df1-8365-90be1133e472","resolution":{"observed_at":"2026-08-07T13:09:09.738287Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:09.351664Z","title":"Prediction of osteoporosis from simple hip radiography using deep learning algorithm","venue":null,"work_id":"b91915f9-04d5-4d64-b1d3-71bcf9fb7c46","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.316436Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:7c8089e05e1ad5bcb9daa235174357b50f4643df8dfdbe99d7923a655f76711c","observation_id":"a566bf8d-b031-4021-93db-f9d541c74cee","resolution":{"observed_at":"2026-08-07T13:09:09.469149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:09.008771Z","title":"Deep learning for osteoporosis clas- sification using hip radiographs and patient clinical covariates.Biomolecules, 10(11):1534,","venue":null,"work_id":"21567d10-4e8c-4fc1-bf7f-777bb2f0504c","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.462131Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:d89ac3d5f57046b59d06020973ae07c635f9ca7edf9bb28e609ff8e47abf4ff2","observation_id":"37cfa596-fcad-41a3-a42f-be7bd423db7e","resolution":{"observed_at":"2026-08-07T13:09:09.170799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/diagnostics14020276","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:01.460431Z","title":"Ar- tificial intelligence in dental panoramic radio- graphs for osteoporosis screening: A system- atic review.Diagnostics, 14(2):276, 2024","venue":null,"work_id":"fd732be0-0e28-468b-ab2c-82c564d68035","year":2024},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.702150Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:e16bd3df6b5d1bcfd6486cf55a65055256cab48729ec7f2a6381a1fd97337b11","observation_id":"9d3eeb7d-0317-4fd0-9c6d-c5ca08e56f97","resolution":{"observed_at":"2026-08-07T13:09:01.569278Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/diagnostics11122219","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:01.163468Z","title":"Development of an artificial intelli- gence system to classify bone quality and pre- dict fracture risk in dental panoramic radio- graphs.Diagnostics, 11(12):2219, 2021","venue":null,"work_id":"71ae997b-3a78-4b6d-9286-f05568fa6326","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.843944Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:1d26dd21d9f2816ce71f5f6f4403b8caf499657e29332c9e197f57109e079245","observation_id":"aa02a0da-c542-4534-b9b3-bc2b8fb638d3","resolution":{"observed_at":"2026-08-07T13:09:01.326431Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:08.700883Z","title":"Osteoporosis prediction from hand and wrist x-rays using image segmentation and self-supervised learning, 2023","venue":null,"work_id":"715da086-f537-4e8c-8579-a8f9081eb986","year":2023},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.968338Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:e6f7580211a0c79ec0587f18e3e8dc0e732b618f74afa1584746cd912d6a28fb","observation_id":"795ceac7-5240-441f-908b-cd89722b70b9","resolution":{"observed_at":"2026-08-07T13:09:08.834571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:08.424215Z","title":null,"venue":null,"work_id":"77c8052d-80bd-48a8-812d-f30db4b5d79c","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.092458Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:5267cdeeb490abb373ada6c672710f9ab5132c5f99341fb14954b64b83ab53d5","observation_id":"96205e43-d6dd-484b-95fd-687077e0194c","resolution":{"observed_at":"2026-08-07T13:09:08.576108Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:08:56.594608Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:56.594608Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:025f1e8c6a08e34d260a67a56f6b0bfa821b27ba4c63c159ecc3bbac388461a1","observation_id":"67cac9a9-fdc2-4100-9ab2-ea380c41153a","resolution":{"observed_at":"2026-08-07T13:08:56.594608Z","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/s00256-019-03342-6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:00.587700Z","title":"The ex- ploration of feature extraction and machine learning for predicting bone density from sim- ple spine x-ray images in a korean population","venue":null,"work_id":"814477ce-77e7-4e9b-9865-3aff45f1a509","year":2020},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.506436Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:3c13caaecf01ded4561a1fc9230e4766dddbfd54a21c9e79a07f36b6f8733f31","observation_id":"484558d5-5b23-4c7f-b76b-9d6ffb56fe9f","resolution":{"observed_at":"2026-08-07T13:09:00.744203Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:08.184059Z","title":"Deep learning for automatic assessment of vertebral fractures on spine x-ray images: the vfss-10k dataset and a benchmark model.European Radiol- ogy, 31(9):7082–7093, 2021","venue":null,"work_id":"e8f4a360-69b6-4dda-a29c-1ca860ab98b4","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.595780Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:9d32726bfa8b7a1461e42eff5262bb2653de4bdcaba429ea4d92b54fa9d29fa9","observation_id":"c705a5c7-eed6-428b-8c8d-1a3b1adf8905","resolution":{"observed_at":"2026-08-07T13:09:08.294429Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/bioengineering11050484","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:00.301966Z","title":"Application of artificial intelligence methods on osteoporosis classification with radiographs—a systematic review.Bioengineering, 11(5):484, 2024","venue":null,"work_id":"47ee0c10-9314-4934-ae8f-811ac2713c80","year":2024},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.734745Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:68beab9533369136971850cb7d87cdb87c7e88f9780b90fd2752de6b843d68cd","observation_id":"85f1df0e-bc15-4a30-b9f7-a0c5b163ee82","resolution":{"observed_at":"2026-08-07T13:09:00.449440Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.11159","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:05.323557Z","title":"Machine learning value in the diagnosis of vertebral fractures: A system- atic review and meta-analysis.European Jour- nal of Radiology, page 111598, 2024","venue":null,"work_id":"a6209a4c-1226-42cb-a28d-05e4a0a019f4","year":2024},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.868313Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:bfba4a4062b38c1ba069f1e3cba82a5d2e2b4dd2bf8d1e7085956623bb6511be","observation_id":"7f9c172c-071c-4b20-9599-f415bf61e0a7","resolution":{"observed_at":"2026-08-07T13:09:05.437102Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:07.862517Z","title":"Deep learning in the radiologic diagnosis of osteoporosis: a literature review","venue":null,"work_id":"a72f8b01-e97e-4299-b2bb-f2f3819896c9","year":2024},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.024588Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:22c8c7eb5a717909903ff0221b50dd03466f7a9311aae604c08ecc8bb9b0709e","observation_id":"cea78207-dc69-4d8b-8be4-aaf55119bff6","resolution":{"observed_at":"2026-08-07T13:09:08.024504Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.bone.2020","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:00.876493Z","title":"Deeplearningoflumbarspinex-ray for osteopenia and osteoporosis screening: A multicenter retrospective cohort study.Bone, 140:115561, 2020","venue":null,"work_id":"31b947de-3496-4f80-997d-f770c33c4533","year":2020},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.405816Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:a25b206baa78043e21ebfbccc6f4d996282c63cce3077bf130cab86a80466295","observation_id":"55cb7dda-5dd4-46b3-be02-09dd459b89f9","resolution":{"observed_at":"2026-08-07T13:09:01.023985Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:08:58.430396Z","title":"A tutorial on conformal prediction.Journal of Machine Learning Research, 9:371–421, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.430396Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:cee598c3dd358c043f0fb874316a7a0c6c2a471fe69e619471c05c6c31c3b167","observation_id":"433c4821-f316-437c-96d8-0ae7673b9eec","resolution":{"observed_at":"2026-08-07T13:08:58.430396Z","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":"2026-08-07T13:09:07.012173Z","title":"Conformalized quantile re- gression.Advances in Neural Information Pro- cessing Systems, 32:3543–3553, 2019","venue":null,"work_id":"73d4cee8-3354-4652-808c-51843e209f35","year":2019},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.523277Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:9206ee551d3f1371914b503af782481563d4be5e5839f91c4d5920e0626e8d61","observation_id":"8f653419-07da-48fd-8216-5d4d13f132b3","resolution":{"observed_at":"2026-08-07T13:09:07.161110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:06.712164Z","title":"Efficientnet: Rethinking model scaling for convolutional neural networks","venue":null,"work_id":"3458a7fb-2f7a-40ea-ade9-a6cb1497bc14","year":2019},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.644057Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:a436fbf9c83fd53952323d010043f73b8215b4816b1d526cd8ef7d15df6106b4","observation_id":"1ce83da0-0f51-456a-9b43-c26796a9f51c","resolution":{"observed_at":"2026-08-07T13:09:06.866656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T13:08:58.803834Z","title":"Decoupled weight decay regularization.arXiv preprint arXiv:1711.05101, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.803834Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:b5d45ed4f8bd6dbd4f9b0fa3e557d2b20fb8eae774857f055d8f413030f2cf1a","observation_id":"c3842dd7-fb44-401e-82c4-405ec501a3e8","resolution":{"observed_at":"2026-08-07T13:08:58.803834Z","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":"2026-08-07T13:09:06.410070Z","title":"Test- time data augmentation for estimation of het- eroscedastic aleatoric uncertainty in deep neu- ral networks.Medical Imaging with Deep Learning Conference, 2018","venue":null,"work_id":"18b03fa2-8604-46b2-b0f1-c19ad4d7b221","year":2018},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.923116Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:d0eac289a3827aed286f315d32624957cc139eee5aa01e0ceb01a642a338edce","observation_id":"e528d25a-a113-4f8f-9e82-92c75197f372","resolution":{"observed_at":"2026-08-07T13:09:06.576972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:07.587159Z","title":"Springer, New York, NY,","venue":null,"work_id":"89a6a191-2929-42f3-9439-64ca41a21c16","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.163167Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:789d86cc16439df5050440ffeeb3144c4b27d44d592099a77bde17b30b7c6e9e","observation_id":"0ac28e1d-a3eb-4a77-9b37-1685ccc08aec","resolution":{"observed_at":"2026-08-07T13:09:07.743613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03342","last_updated":"2022-01-18T23:54:07Z","snapshot_observed_at":"2026-07-06T11:27:01.301532Z","submitted_at":"2021-07-07T16:39:28Z","title":"A Survey of Uncertainty in Deep Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03342","snapshot_observed_at":"2026-08-07T13:08:59.356040Z","title":"A survey of un- certainty in deep neural networks.CoRR, abs/2107.03342, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:59.356040Z"},"links":{"cited_paper":"/paper/2107.03342","citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:549436bd824e00f228aa73c619abf497379232e90ff5fad94ddc090a93aaba7e","observation_id":"c5e7fe3b-40e3-4b08-a825-e40abf81fbb7","resolution":{"observed_at":"2026-08-07T13:08:59.356040Z","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":"2022.31666","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:04.769910Z","title":"An uncertainty-aware multiple-sampling strategy for image-to-image translation.IEEE Sig- nal Processing Letters, 29:867–871, 2022","venue":null,"work_id":"e19e199b-ebdb-4b4d-b22e-f46045b45b5c","year":2022},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:59.530329Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:feaa6d9f4cda8a785770750986cfa2b8f66de81cf2da4e1c3be0513b08a0045a","observation_id":"7cb73081-172b-45e5-ba5d-d5b2401aece3","resolution":{"observed_at":"2026-08-07T13:09:04.991241Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.10389","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:04.434659Z","title":"Deep neural networks for automatic detection of osteoporotic vertebral fractures on ct scans.Computers in Biol- ogy and Medicine, 123:103899, 2020","venue":null,"work_id":"deba7aaa-81c8-4378-941d-7095d3ada166","year":2020},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:59.724058Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:4fcd9212d02d57b53e1167bc4d2290974cf1c82687de1cb9b91c7d77e87967f9","observation_id":"f5c0ff3a-0323-4bf1-ad34-5802393e4d07","resolution":{"observed_at":"2026-08-07T13:09:04.581452Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2196/25082","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:00.039339Z","title":"Predictionofosteoporosisusingmachinelearn- ing based on routine blood test.Journal of Medical Internet Research, 23(3):e25082, 2021","venue":null,"work_id":"f2fa4a00-9f6e-4fca-b649-42614454ac48","year":2021},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:59.831688Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:415c21c1991461d114f0b3bc5688b6dad40b9513fc51f7efdd1f13cb7c9ac6bc","observation_id":"f069adba-8764-4f9c-a5d9-1a408b982988","resolution":{"observed_at":"2026-08-07T13:09:00.162723Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:09:06.083508Z","title":"Automatic brain tu- mor segmentation based on cascaded convolu- 11 tional neural networks with uncertainty esti- mation.Medical Image Analysis, 67:101816,","venue":null,"work_id":"baf0ed4a-268d-448b-85eb-748f28930c88","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:59.079643Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:a47865d2ddf9d930d43b5c58fd52236bbb06148d2920e493e313f96fd41439c3","observation_id":"1eb577ca-0b35-40db-a714-326ebcaa8de8","resolution":{"observed_at":"2026-08-07T13:09:06.235940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:08:59.221397Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:59.221397Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:e519fa15acb3b0a592dee68e201c2b797cd911f7155f4b14d4f94652ab33d281","observation_id":"18069e7c-734b-4759-ab54-634e1e5df540","resolution":{"observed_at":"2026-08-07T13:08:59.221397Z","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":"2026-08-07T13:09:07.335437Z","title":"doi: 10.1007/ b106715","venue":null,"work_id":"4d23d5b1-4075-41cf-b018-105a15323385","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:58.280069Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:ebf17ae3a33ea765c8262f365755a418118c36ea6e6788f0660bc30676e5cd28","observation_id":"17d72794-cc40-453d-a7e5-529ed6fa0522","resolution":{"observed_at":"2026-08-07T13:09:07.469915Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:08:54.118738Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.118738Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:3b9cd5e174c1ceadf5598ae749dcdc7234c18e0a5c6e1e5922d32cac2217a6c0","observation_id":"b668855f-5ebe-4a7f-9a6d-c01afeb3d2d5","resolution":{"observed_at":"2026-08-07T13:08:54.118738Z","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":"2026-08-07T13:08:53.842654Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:53.842654Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:6352cf791d0f6f7237c0150514924f4338bda2f7849a1e00108e0c282f043229","observation_id":"6a250fbe-6b46-4987-85e6-9ca50fb2123d","resolution":{"observed_at":"2026-08-07T13:08:53.842654Z","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":"10.1038/s41598-020-77469-1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:03.630752Z","title":null,"venue":null,"work_id":"c84ab3a1-9587-45a1-a14b-16951e10dd95","year":null},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:54.357769Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:1c47298d10c07bd6a846a195fb6e5365d2631318c5e9c68e73d8ba0205a26e9e","observation_id":"a4ccd4ea-400b-4a61-aee2-5376a523dd52","resolution":{"observed_at":"2026-08-07T13:09:03.732648Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.97187","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:09:05.638910Z","title":null,"venue":null,"work_id":"a8d90a84-d7fb-4a23-accc-c72432610037","year":2022},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:57.252204Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:76dc631f26acd4b00ed989928c2ed5307ecd20db813b560a64ffc98b4b15bce0","observation_id":"6d665f7f-9a7f-4c23-b2aa-501188c0f048","resolution":{"observed_at":"2026-08-07T13:09:05.773553Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:08:55.320308Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:55.320308Z"},"links":{"citing_paper":"/paper/2505.22551"},"observation_digest":"sha256:e6c21cc5d53aaea45ba809dbf0b5bed79d81ecc764b01c94f80885ea9715fbf3","observation_id":"b37c9abe-5940-437f-8e2e-44c12f7ca672","resolution":{"observed_at":"2026-08-07T13:08:55.320308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22551","last_updated":"2025-05-28T16:33:49Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T13:01:49.581019Z","submitted_at":"2025-05-28T16:33:49Z","title":"Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":6,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":11,"verified_exact":15,"verified_fuzzy":14},"total_outbound_references":50},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.22551."}