Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T00:36:55.147262Z
Paper Citation Record · LEDGER
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization
As of 4 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2604.20268.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
30 of 30 outbound references displayed
- verified exact12
- verified fuzzy5
- unresolved0
- parse uncertain0
- malformed identifier6
- metadata mismatch7
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ba293b34-34b6-4d6d-bed4-ec05141704ba · outbound
This paper cites BMC Musculoskeletal Disorders 8:77.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization BMC Musculoskeletal Disorders 8:77
Reference 1
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.985685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e953d485-e25f-440b-aa28-bff669a19d81 · outbound
This paper cites Damien Ernst, Pierre Geurts, and Louis Wehenkel.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Damien Ernst, Pierre Geurts, and Louis Wehenkel
Reference 2
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:39:47.983111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b17cf72a-caab-4ddb-ab84-82b8d46df8ff · outbound
This paper cites BMJ 385:e078378.
Reference 3
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-23T11:02:53.887972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 393478a9-d87c-4eba-b7f3-5f9c269d69ba · outbound
This paper cites Chapman and Hall/CRC.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Chapman and Hall/CRC
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:02:53.875515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fc1da086-7aa4-4127-85dd-009ee356581f · outbound
This paper cites European Radiology 31(4):1831–1842.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization European Radiology 31(4):1831–1842
Reference 5
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.971596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 84b8ae62-083f-4d9f-9eef-c1e5babdc994 · outbound
This paper cites Deep residual learning for image recognition.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Deep residual learning for image recognition
Reference 6
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:39:47.988564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b807a587-026c-41fd-a675-ca8730ac165b · outbound
This paper cites Archives of Osteoporosis 8:136.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Archives of Osteoporosis 8:136
Reference 7
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.967076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c9bcb7c-72dc-4382-a49b-9dbe8e74c21b · outbound
This paper cites Nature Communications 12(1):5472.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Nature Communications 12(1):5472
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.997276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b68ecd1a-bb28-4488-a898-9da321de5463 · outbound
This paper cites Osteoporosis International 30(1):3–44.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Osteoporosis International 30(1):3–44
Reference 9
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.975173Z
Source-reported events for the cited work
correction dated 2019-10-31. Source: crossref record 10.1007/s00198-019-05184-3->10.1007/s00198-018-4704-5:correction, observed 2026-07-11T03:07:17.697811+00:00. This notice travels one citation hop only.
correction dated 2020-02-18. Source: crossref record 10.1007/s00198-020-05303-5->10.1007/s00198-018-4704-5:correction, observed 2026-07-11T02:57:14.392145+00:00. This notice travels one citation hop only.
Observation cd812b71-6950-4c75-84e6-40a3e6afa090 · outbound
This paper cites (2017) Focal loss for dense object detection.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization (2017) Focal loss for dense object detection
Reference 10
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:39:47.969490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51919a59-2406-4e6c-99c0-071fd01d6b88 · outbound
This paper cites Masset, R.
Reference 11
- Resolution
- malformed identifier
- doi, observed 2026-05-10T00:39:47.995202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b607e695-99b1-4776-91e1-4df17226f551 · outbound
This paper cites In: Interna- tional Conference on Learning Representations (ICLR), URL https://openreview.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization In: Interna- tional Conference on Learning Representations (ICLR), URL https://openreview
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:02:53.884294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5db618ac-e279-4cf2-acd3-08afe72cd1c4 · outbound
This paper cites European Radiology 30(7):4107–4116.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization European Radiology 30(7):4107–4116
Reference 13
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-23T11:02:53.850083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12c9ae8b-fbd5-44e2-bf7f-0a27fe741dac · outbound
This paper cites In: Advances in Neural Information Processing Systems (NeurIPS), pp 8024–8035.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization In: Advances in Neural Information Processing Systems (NeurIPS), pp 8024–8035
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:02:53.855094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df0e38a2-c71f-4b24-8200-6a75cc459a0d · outbound
This paper cites Annals of Internal Medicine 158(8):588–595.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Annals of Internal Medicine 158(8):588–595
Reference 15
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-23T11:02:53.863657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c9e3f0a5-cefc-4135-8179-a035b12c403c · outbound
This paper cites Journal of Clinical Investigation 67(2):328–335.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Journal of Clinical Investigation 67(2):328–335
Reference 16
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.981087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 153da440-4be1-4be1-a69d-fb450c365a52 · outbound
This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization An Overview of Multi-Task Learning in Deep Neural Networks
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T09:50:25.566913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ff2ff1a-169e-45d8-9cb2-bafdcdab2a38 · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization ImageNet Large Scale Visual Recognition Challenge
Reference 18
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:39:47.978929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ba557a8a-7c04-451d-be75-390138b8fd68 · outbound
This paper cites and Rehmsmeier, M.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization and Rehmsmeier, M
Reference 19
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:39:47.990634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc11e71b-b015-41f5-8aa1-048becd8fa13 · outbound
This paper cites Multimedia Systems https://doi.org/10.1007/ s44196-024-00615-4.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Multimedia Systems https://doi.org/10.1007/ s44196-024-00615-4
Reference 20
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-23T11:02:53.867616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b6e21cf-6a48-41cd-8d33-0bb7d9054b8e · outbound
This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra
Reference 21
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T00:39:47.992761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bbbdc2cb-c0a5-4c35-9496-9f9e24707eb7 · outbound
This paper cites The Lancet 391(10122):741–747.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization The Lancet 391(10122):741–747
Reference 22
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.973416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 99af7f4d-83ae-4d99-a974-2ca0b929892d · outbound
This paper cites Archives of Internal Medicine 164(10):1108–1112.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Archives of Internal Medicine 164(10):1108–1112
Reference 23
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.963166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 15e2260c-3ed4-4d77-a29b-a14f91f9dfca · outbound
This paper cites Journal of Machine Learning Research 15(1):1929–1958.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Journal of Machine Learning Research 15(1):1929–1958
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:02:53.859715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c87452a-ec7c-4819-b21f-712b53a20860 · outbound
This paper cites Scientific Reports 8:1727.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Scientific Reports 8:1727
Reference 25
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.959228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6d26a332-cd87-408e-bce8-5468f4841e16 · outbound
This paper cites Nature Medicine 25(1):44–56.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Nature Medicine 25(1):44–56
Reference 26
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-23T11:02:53.871376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 07c7662e-b66f-49c2-a31b-a4e8a2e87427 · outbound
This paper cites Multimedia Tools and Applications 82(27):41553–41573.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Multimedia Tools and Applications 82(27):41553–41573
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.965252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a71ab5da-4359-4882-9e97-f5f9e6fdda3e · outbound
This paper cites World Health Organization Technical Report Series 843:1–129 21.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization World Health Organization Technical Report Series 843:1–129 21
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T11:02:53.880262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b6b55f3-2f38-407c-abcc-7c48f8c7ab9b · outbound
This paper cites Biomolecules 10(11):1534.
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization Biomolecules 10(11):1534
Reference 29
- Resolution
- verified exact
- doi, observed 2026-05-10T00:39:47.961056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7c520750-489e-4487-8648-ffc7b0f2b000 · outbound
This paper cites Bone 140:115561.
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:47.957338Z
Source-reported events for the cited work
correction dated 2021-08-09. Source: crossref record 10.1016/j.bone.2021.116143->10.1016/j.bone.2020.115561:correction, observed 2026-07-11T03:11:44.256787+00:00. This notice travels one citation hop only.
Pith citing papers
No inbound Pith citation observations are available.