Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:54.005523Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.04485.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:54.005523Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7c59ef4a-c7a8-4d51-8e41-a5c56ecd3da2 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Birchall, Spatial ability in radiologists: A necessary prerequisite?, British Journal of Radiology 88 (1049) (2015) 6–8.doi:10.1259/bjr.20140511
Reference 1
Source-reported events for the cited work
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Observation 89873fae-cf44-458c-9883-64c129976637 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Corry, The future of recruitment and selection in radiology
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc4ef148-0926-4332-9290-c53374ab4ff9 · outbound
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8fce5867-c2c9-4ba6-a5fb-7cfb38ac77f3 · outbound
Reference 4
Source-reported events for the cited work
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Observation 57ae3f43-a2a3-42cb-9e6b-ead0ef5da1b8 · outbound
Reference 5
Source-reported events for the cited work
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Observation c1711e96-0fc2-4645-bcc3-0a1f1b47563e · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Demner-Fushman, M
Reference 6
Source-reported events for the cited work
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Observation 3cd3686c-2381-4bbc-8fa2-f38d2c49352e · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Reference 7
Source-reported events for the cited work
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Observation 06bb9feb-574f-4bfb-9f63-d7a9b1e4a4ca · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 801abc01-8f46-42fb-8273-ba1c4455c074 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1913cc6e-d4dc-4249-b065-4352c68fd7ee · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Learning to detect chest radiographs containing lung nodules using visual attention networks
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 350eec4b-f567-4ab4-b80e-cbb53aad8c15 · outbound
Reference 11
Source-reported events for the cited work
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Observation 5bee6d60-bed3-4192-9155-9be6f75a3cd2 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5900a2cc-1441-4070-9678-a6aa5e5ed5c8 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning PadChest: A large chest x-ray image dataset with multi-label annotated reports
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50629ec8-001d-4cfd-a874-3b6083c58848 · outbound
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 94c022ec-dd10-4c6c-be32-3339091047d4 · outbound
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cd8353cb-49ba-42f9-9fa6-f14dedf6b5db · outbound
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f80803c6-ed21-4961-b8cf-78811ee1fb7e · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 35c6eb36-dbbc-44da-9efd-aeabd8e5c392 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8af0c034-d372-49d8-bcc9-83b6366add1b · outbound
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8d182dac-2fa6-4218-ad74-ff5247a65af9 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1979b6df-786b-4a1e-926e-4235016bf3e6 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8500db25-f565-4ed8-8ad7-bd799a183841 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning URL http://zdaniels.com/papers/ISBI2019{_}camera.pdf
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a9424c95-1ad1-4b1d-8c10-5b47ac9dd5a2 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ee012df-1912-42d3-affe-e03645fdd26c · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d878aeea-4bf3-4ef3-af7f-df3c588cc5e6 · outbound
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80c36415-6cd7-468a-801d-3ed2a1b74089 · outbound
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55632018-0a50-4baa-b4a1-0f4662b0036d · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f717dd3d-45a4-44a1-b875-09fb8041dcea · outbound
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 47bdbc74-f116-468e-acc6-5042f2bab8b0 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Neural Architectures for Named Entity Recognition
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02770756-a436-4017-8fa2-270759667183 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fee0fcbe-c53c-4ca5-ba17-b4308a1d3cfe · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8a9411b-eb98-45f1-a921-f5d563d73552 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65506f14-95a3-4095-8771-47af26eec6bc · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 433d8b70-ded3-4c92-a5e1-0620ed91d21f · outbound
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad040744-fa55-4917-8702-18e88a5a0f02 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Training Very Deep Networks
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 400d0557-33eb-48ef-bc09-ca6172125b84 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Unresolved cited work
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35c87a5c-a8a2-479e-ab8d-fd4ca8e4a5e4 · outbound
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning Graph-based Model of Smart Grid Architectures
Reference 236
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.