{"as_of":"2026-08-23T15:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:60ecbbee3efff7177c9956deb7a7b6427cd1153cecbeae0ca5b2ef8ce5b8f1eb","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:49:39.349936Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2411.17850/citation-record","integrity":"/paper/2411.17850/integrity","json":"/paper/2411.17850/citation-record.json","paper":"/paper/2411.17850"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:49:39.917640Z","title":"R., Fields, H., Msd, D","venue":null,"work_id":"3bfc7266-5fc2-4f81-bfe3-cb0f7f12f391","year":2019},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.185556Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:28cf27ffeeeebb969c7ce709aa4ff650362c0682ee751f267f6574845d240f93","observation_id":"ca02f92e-db60-463e-8001-5e5add6ad59f","resolution":{"observed_at":"2026-08-12T11:49:39.922515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.900205Z","title":"Soft tissue cephalometric analysis for orthognathic surgery.,","venue":null,"work_id":"c1e9b4af-3f63-4f08-b3a1-dd9b1c56993b","year":1980},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.191114Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:9b385b4638e21df1d02831b35b21abbab8d75c7077190efe0f71e4e9b9c5ff27","observation_id":"71f001db-e45d-43bf-a82e-a8211f886989","resolution":{"observed_at":"2026-08-12T11:49:39.905504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.879963Z","title":"Label-free segmentation of COVID-19 lesions in lung CT,","venue":null,"work_id":"0edc1037-192c-4af0-aebf-e42238e77f43","year":2021},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.197847Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:b7520ff774e1a18ac49c3098b7e8ce37b75375d7b26e470cca190df62a62720d","observation_id":"fbafd71a-2ad4-4830-9b13-1d956bdaadb6","resolution":{"observed_at":"2026-08-12T11:49:39.885503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.857235Z","title":"An artificial agent for anatomical landmark detection in medical images,","venue":null,"work_id":"0a9723fb-a04f-4278-816a-e5594691899e","year":2016},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.203897Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:41582a163f5ea7b50387d65d25ea706e02e2fd0ee739957eff9b7635a9a9c322","observation_id":"071d4f29-68d9-4db1-82da-aca249378c4d","resolution":{"observed_at":"2026-08-12T11:49:39.863905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.840511Z","title":"You only learn once: Universal anatomical landmark detection,","venue":null,"work_id":"3c664691-b1c6-448c-abb7-190566bbedb5","year":2021},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.209664Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:aa5f35fb81e6a30828d40dcc8a58216ad5cd4a3b8e9dc4ffbc63e2d0c1bd2d66","observation_id":"b23e80ae-34ef-4519-bde9-7f1810842f89","resolution":{"observed_at":"2026-08-12T11:49:39.846510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.823252Z","title":"Unsupervised landmark detection and classification of lung infection using transporter neural networks,","venue":null,"work_id":"71bb168d-ddc6-41fb-a821-c1a2a6338b47","year":2023},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.216407Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:574536e1ce7aca3b71f8153252668d1e9f80e2b27fd7b5428834b5903e839617","observation_id":"482d5560-6b95-4f00-bf7a-3fad9e10e7b5","resolution":{"observed_at":"2026-08-12T11:49:39.828475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.797069Z","title":"Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs,","venue":null,"work_id":"eeffc612-d674-4526-acc4-36cefb7dde52","year":2023},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.221620Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:4b41e5214665bb3a80919e1295cb369ea7aa02c2e35e11cd3c7edec56ba66a60","observation_id":"936d2491-7cba-45e2-9c94-610e0fa38c96","resolution":{"observed_at":"2026-08-12T11:49:39.811195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.777603Z","title":"Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning,","venue":null,"work_id":"3f7d0e79-8e9a-44a2-9864-73f52881c114","year":2023},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.228432Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:96ced4c65a55c39fad4d43eac82f46a057312647e5338796abd503b84d45aab9","observation_id":"bebde914-bad6-4d24-b04f-5df549e0e27a","resolution":{"observed_at":"2026-08-12T11:49:39.784062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.760016Z","title":"Contour-hugging heatmaps for landmark detection,","venue":null,"work_id":"daba36bc-8a76-428e-bda2-35dbef77eb3b","year":2022},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.233264Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:cbf6e28ac27d7e01937c7b23351c3ad65fb68ac7bfb382299d73bf533f692d81","observation_id":"8da988e7-19fa-48b7-961d-5e722113e675","resolution":{"observed_at":"2026-08-12T11:49:39.765829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.743024Z","title":"Bayesian uncertainty estimation in landmark localization using convolutional gaussian processes,","venue":null,"work_id":"3f3a828c-affb-43fd-a7f7-a8418affb9e6","year":2023},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.239707Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:7d45fd787e3a39c4903108f69603d0c81200bcf7da60b9081e0278974647e8ab","observation_id":"c4ecfe92-e4c7-4a71-93d4-f62137d6215f","resolution":{"observed_at":"2026-08-12T11:49:39.748627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.725370Z","title":"Uncertainty estimation in landmark localization based on gaussian heatmaps,","venue":null,"work_id":"5631a75c-a00b-4952-807f-10b183e799e4","year":2020},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.244662Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:6af5a65838c37a1db1ddf8b0756a6bf0cd2499559280da451e6418847b55f101","observation_id":"68095db5-a129-4030-87ad-0acd9929ecb8","resolution":{"observed_at":"2026-08-12T11:49:39.731012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.709663Z","title":"Modeling annotation uncertainty with gaussian heatmaps in landmark localization,","venue":null,"work_id":"608fd963-39d0-4972-ae9d-b0cd6b0c79e1","year":2021},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.250447Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:05046baed6b47b334e13e8439a608cdc8d3b1fcbb628d94a9f49e60ca1685885","observation_id":"f86c9be0-dae4-4e2d-ad75-a183a5511a05","resolution":{"observed_at":"2026-08-12T11:49:39.714654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.693820Z","title":"A benchmark for comparison of dental radiography analysis algorithms,","venue":null,"work_id":"1d773ba0-51e3-4a27-a5f9-51cbb7167f52","year":2016},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.256565Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:232514f21193177d594717ae86a58c2e0b2ce1a8dd8ed2fe409c91307d78f3f6","observation_id":"e10449f0-cdfa-4253-b245-6568759d23e2","resolution":{"observed_at":"2026-08-12T11:49:39.698348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.677428Z","title":"An attention-guided deep regression model for landmark detection in cephalograms,","venue":null,"work_id":"cdc712dc-091d-455f-885b-5a75d799c78b","year":2019},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.262834Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:aab1fbbf6ef57190bacf24a875067089c341f4a34b7e77fb5adc16a61789e8d9","observation_id":"b80473d1-d468-46bf-aa4e-225e6cd922a7","resolution":{"observed_at":"2026-08-12T11:49:39.683024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.658546Z","title":"Miss the point: Targeted adversarial attack on multiple landmark detection,","venue":null,"work_id":"5b05453d-789a-4199-b8b2-17a8fddcfb19","year":2020},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.267524Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:4116858d518a0d69226edc0c23a6b4c2c269c9cdf7031195b9ffc2d5fab08d36","observation_id":"715eae33-06d0-47a4-aeb0-43d8d9b1c443","resolution":{"observed_at":"2026-08-12T11:49:39.663896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.642096Z","title":"Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting,","venue":null,"work_id":"a33ea448-a113-4fb5-b638-52246186a8f0","year":2019},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.272835Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:96a56d082619fcdadf65e2f94d295add11fc0eb94af04021516e74226c09989c","observation_id":"bad9e8fa-25e1-4008-aaef-d8887cfd593d","resolution":{"observed_at":"2026-08-12T11:49:39.647819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.625572Z","title":"UOD: Universal one-shot detection of anatomical landmarks,","venue":null,"work_id":"e417e688-b81d-46fc-94c6-871d2eaa1c91","year":2023},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.278320Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:8f6365ccd20edf361c1c0b5cd0d3badbe67b79b3333212f580752338d3e69669","observation_id":"27258fc7-d5e5-4d6e-ac59-2c11d265a3fb","resolution":{"observed_at":"2026-08-12T11:49:39.630366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.608167Z","title":"Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms,","venue":null,"work_id":"bb48cb92-fbef-46e5-8f0c-f6c9cf23bf79","year":2016},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.283323Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:f2d96f6a2843be3af9513c42dbc1fd91e727728c15e31c7c2f4a11cf1a3d232b","observation_id":"9dec7874-283d-417f-b43a-ea5a5f476c23","resolution":{"observed_at":"2026-08-12T11:49:39.614260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.589693Z","title":"How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation,","venue":null,"work_id":"9356b24f-6396-48e5-935b-f191a3275037","year":2023},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.288259Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:3158c0d8889caeb3e98062503bd85202c9d575e20b6640b1f8a22b49589afdfe","observation_id":"6d7dbc2f-0c5f-4105-bfab-699dcac8f73c","resolution":{"observed_at":"2026-08-12T11:49:39.594512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.573243Z","title":"Label fusion and training methods for reliable representation of inter-rater uncertainty,","venue":null,"work_id":"dad4eea6-cfe4-4eb3-a71b-fa9c58ecf5b5","year":2022},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.293748Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:1003a83728a75c911c387f61aa263a874d8b6abd8dd410fcd9928ce3ed81f7f3","observation_id":"988090b5-8788-44d7-98b3-b56857d16262","resolution":{"observed_at":"2026-08-12T11:49:39.578119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.556109Z","title":"Rethinking generalization: The impact of annotation style on medical image segmentation,","venue":null,"work_id":"1428c050-1314-47d2-b1aa-2890f0ed4369","year":2022},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.298804Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:1e32ec555644685f358eafb5dcea218122402e396223320b1332a783bc43c4fd","observation_id":"1a72303b-6793-4864-8af5-6708a3163df6","resolution":{"observed_at":"2026-08-12T11:49:39.561864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.540626Z","title":"Improving uncertainty estimation in convolutional neural networks using inter-rater agreement,","venue":null,"work_id":"3031db53-effd-4682-95e9-084575ed16eb","year":2019},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.305479Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:41eb45d7dfcc78e3a14ce279ed8c170ab594a6fa6a13ff3342e27a8eb1554b13","observation_id":"f8e9c455-1944-4bde-9187-681ca780cd77","resolution":{"observed_at":"2026-08-12T11:49:39.545411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.524383Z","title":"Automatic cephalometric landmark detection on X-ray images using a deep-learning method,","venue":null,"work_id":"acbd20ee-923e-466b-a0b9-0ce46c5d3af7","year":2020},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.312045Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:cc4ae765c87cd1573a19afde66b51f1b2ffac27b0b62d9a5b8f04307eb91f080","observation_id":"3689af90-ab15-4e6c-a22e-2d064e085f12","resolution":{"observed_at":"2026-08-12T11:49:39.530264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.504553Z","title":"Integrating spatial configuration into heatmap regres- sion based CNNs for landmark localization,","venue":null,"work_id":"0630528d-3688-40da-a536-b6619da5c925","year":2019},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.318046Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:50a0fff9c8ce3d420f03c5979c93ae4aba53ac7f5056d66ba31d19d8c46041c7","observation_id":"a9435738-af0d-4f97-8fbf-ec9badd6e9b5","resolution":{"observed_at":"2026-08-12T11:49:39.511757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.485434Z","title":"U-net: Convolutional networks for biomedical image segmen- tation,","venue":null,"work_id":"90d440e8-d05f-4c87-b94f-3335ad3bdef5","year":2015},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.323405Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:ee13f8f37bb7d79cdc74c2b5bd12065235c8c84569fba201ef8d34f09d9c2b24","observation_id":"9ccad18f-0ba1-42de-8cab-5f07c2e9fb0f","resolution":{"observed_at":"2026-08-12T11:49:39.491753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.466533Z","title":"Regressing heatmaps for multiple landmark local- ization using CNNs,","venue":null,"work_id":"09ba943c-78aa-4d70-ab59-a9e63166f5b3","year":2016},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.328469Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:9b20a06a0da58b9b04db613d8996dc213f8e31f4f08a9c64dddd021f7e2a29ef","observation_id":"90711cee-6fec-4efd-b41e-45dc567a0e34","resolution":{"observed_at":"2026-08-12T11:49:39.472040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.448763Z","title":"Uncertainty estimation for heatmap-based landmark localization,","venue":null,"work_id":"22a07d2f-ae07-4c94-b889-1bcc825f0a97","year":2022},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.334114Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:b6d6b08d411e4be1f6aab3355879e231185498efb99f58820db6e2917d08605b","observation_id":"5f74d912-a617-439f-aadc-008f705934d0","resolution":{"observed_at":"2026-08-12T11:49:39.453977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.431634Z","title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning,","venue":null,"work_id":"aae88569-12ff-44d8-af55-141896dbeb93","year":2016},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.340080Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:f2980d6832f1a8411a8094c984f455c73f4baf96b45cd9f2b578a6d5d56311dd","observation_id":"52cbac6f-ac0a-4fc0-b6f7-68bbfbbca48b","resolution":{"observed_at":"2026-08-12T11:49:39.436898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.414679Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":"9c9c048a-cb1e-473c-84fe-b2167aed488d","year":2016},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.344648Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:534672feb5d9669d5f143db794bf0b951d4e829e591e9c0b994164449bd4c3da","observation_id":"cc5385b6-1680-469c-b311-fdc0e2305ec1","resolution":{"observed_at":"2026-08-12T11:49:39.420114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T11:49:39.394349Z","title":"Evaluation and comparison of anatomical landmark detection methods for cephalometric X-ray images: a grand challenge,","venue":null,"work_id":"bd973fdb-7998-4377-8238-3af917456a6c","year":2015},"citing_paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:49:39.349936Z"},"links":{"citing_paper":"/paper/2411.17850"},"observation_digest":"sha256:9af3a55c77975a45d51735b0b198726aacdd8219acc3b98ca3744d93c2f87354","observation_id":"abd851b1-3e13-4f74-9a75-cc47415e4207","resolution":{"observed_at":"2026-08-12T11:49:39.402022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17850","last_updated":"2024-11-26T20:07:16Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-12T22:49:42.456870Z","submitted_at":"2024-11-26T20:07:16Z","title":"Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":30},"total_outbound_references":30},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2411.17850."}