{"as_of":"2026-08-16T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f373b0345326860cb9055e7e1dfa031a3a8b7b78e52ca63a7e3ad57bc3d41d85","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:46:54.005523Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.04485/citation-record","integrity":"/paper/1908.04485/integrity","json":"/paper/1908.04485/citation-record.json","paper":"/paper/1908.04485"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1259/bjr.20140511","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.164395Z","title":"Birchall, Spatial ability in radiologists: A necessary prerequisite?, British Journal of Radiology 88 (1049) (2015) 6–8.doi:10.1259/bjr.20140511","venue":null,"work_id":"766098a3-a275-4c22-8e16-adeb10a09228","year":2015},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.859040Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:e4c5110f4276e0bc5a96b153d16184d03f6adbb2b661eb0c6841e17904723b41","observation_id":"7c59ef4a-c7a8-4d51-8e41-a5c56ecd3da2","resolution":{"observed_at":"2026-08-14T13:46:54.168108Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.crad.2010.12.003","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.152765Z","title":"Corry, The future of recruitment and selection in radiology","venue":null,"work_id":"4a806e48-f25b-419b-a35b-e1d262c4b054","year":2011},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.862900Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:579ce33ebd25b5e56129ca96aa66d07cc48ad62d67e7e96884cb07bf8c13d1e1","observation_id":"89873fae-cf44-458c-9883-64c129976637","resolution":{"observed_at":"2026-08-14T13:46:54.156778Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:55.365869Z","title":"Kordjamshidi, M","venue":null,"work_id":"f1a5e0c0-079d-4840-a6b7-6e119b53e887","year":2010},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.866418Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:c342a0953039941d654b96a445005247a2c6d2d0e0caa5ae30da2b9432d2322b","observation_id":"fc4ef148-0926-4332-9290-c53374ab4ff9","resolution":{"observed_at":"2026-08-14T13:46:55.369834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/w17-4306","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.143049Z","title":"Kordjamshidi, T","venue":null,"work_id":"4b15d3e4-c21b-481c-b782-4c19567752af","year":2017},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.870381Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:b811a70daa633014d456b66237192289ba85edb6052ed013274b8f7a2007234b","observation_id":"8fce5867-c2c9-4ba6-a5fb-7cfb38ac77f3","resolution":{"observed_at":"2026-08-14T13:46:54.146597Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"pubmed/2695824","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:55.312879Z","title":"Roberts, L","venue":null,"work_id":"ab058720-57bd-4b50-a519-862bf75a3f9f","year":2015},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.873989Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:2fd3decd6321f1d8c14548696262f674c6d2d1915e64613b388d778469bf0692","observation_id":"57ae3f43-a2a3-42cb-9e6b-ead0ef5da1b8","resolution":{"observed_at":"2026-08-14T13:46:55.318572Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:53.877691Z","title":"Demner-Fushman, M","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.877691Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:b8f3850128f1ef1debe82c52e216bb41d51997ec620c2ba624ae05b8ed9825e2","observation_id":"c1711e96-0fc2-4645-bcc3-0a1f1b47563e","resolution":{"observed_at":"2026-08-14T13:46:53.877691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.02315","last_updated":"2017-12-14T19:35:31Z","snapshot_observed_at":"2026-08-15T05:51:32.595084Z","submitted_at":"2017-05-05T17:31:12Z","title":"ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.02315","snapshot_observed_at":"2026-08-14T13:46:53.881947Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.881947Z"},"links":{"cited_paper":"/paper/1705.02315","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:e4596cedf23d38636b8fdf322571f317f815c791961cbfafe4db8f3f9bf76e71","observation_id":"3cd3686c-2381-4bbc-8fa2-f38d2c49352e","resolution":{"observed_at":"2026-08-14T13:46:53.881947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.07031","last_updated":"2019-01-21T18:41:59Z","snapshot_observed_at":"2026-08-14T17:28:02.616045Z","submitted_at":"2019-01-21T18:41:59Z","title":"CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.07031","snapshot_observed_at":"2026-08-14T13:46:53.886215Z","title":"Irvin, P","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.886215Z"},"links":{"cited_paper":"/paper/1901.07031","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:8fc51c9bce4bb36d15c11fdaecff5207ed202fae9920599f17a70a422727aaf6","observation_id":"06bb9feb-574f-4bfb-9f63-d7a9b1e4a4ca","resolution":{"observed_at":"2026-08-14T13:46:53.886215Z","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":"2026-08-14T13:46:53.890365Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.890365Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:1fc58e065185c4eb171b66dfad26324ca5c633095e4e0437faace697ea5410d3","observation_id":"801abc01-8f46-42fb-8273-ba1c4455c074","resolution":{"observed_at":"2026-08-14T13:46:53.890365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.00996","last_updated":"2019-02-07T10:52:39Z","snapshot_observed_at":"2026-08-14T20:07:17.497764Z","submitted_at":"2017-12-04T10:44:32Z","title":"Learning to detect chest radiographs containing lung nodules using visual attention networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.00996","snapshot_observed_at":"2026-08-14T13:46:53.894040Z","title":"Pesce, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.894040Z"},"links":{"cited_paper":"/paper/1712.00996","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:cce4fe9f774b50b8e4f2d787c741348e460d73ba7e179c387fabb9f493f1f1c8","observation_id":"1913cc6e-d4dc-4249-b065-4352c68fd7ee","resolution":{"observed_at":"2026-08-14T13:46:53.894040Z","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":"pubmed/2648114","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:55.120037Z","title":"Hassanpour, C","venue":null,"work_id":"af5235d8-72b3-41ea-91e6-d202efa2f14f","year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.898596Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:78fff8e561f994f86ded3c9573fdaac4cb3a050214027df1977f5c25508a40ca","observation_id":"350eec4b-f567-4ab4-b80e-cbb53aad8c15","resolution":{"observed_at":"2026-08-14T13:46:55.126932Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.08409","last_updated":"2016-09-27T13:25:10Z","snapshot_observed_at":"2026-08-14T21:37:59.226376Z","submitted_at":"2016-09-27T13:25:10Z","title":"Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks","version":1},"cited_work":{"arxiv_id":"1609.08409","doi":null,"metadata_source":"pith","pith_arxiv_id":"1609.08409","snapshot_observed_at":"2026-08-14T13:46:55.032074Z","title":"Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks","venue":"cs.CL","work_id":"640274d2-2278-49d7-8fe7-ddc424463ed3","year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.902392Z"},"links":{"cited_paper":"/paper/1609.08409","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:e94fc8e4771fddc34e076e4ae8740a27be878f3495216357c50312bb45c0a007","observation_id":"5bee6d60-bed3-4192-9155-9be6f75a3cd2","resolution":{"observed_at":"2026-08-14T13:46:55.037114Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.07441","last_updated":"2019-02-07T09:41:01Z","snapshot_observed_at":"2026-08-14T17:27:35.916804Z","submitted_at":"2019-01-22T16:04:27Z","title":"PadChest: A large chest x-ray image dataset with multi-label annotated reports","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.07441","snapshot_observed_at":"2026-08-14T13:46:53.906787Z","title":"Bustos, A","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.906787Z"},"links":{"cited_paper":"/paper/1901.07441","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:ffdd8ae271faaf7564548302810ec30b7ee44e6670be86a2e2a9ca4c0b63cff4","observation_id":"5900a2cc-1441-4070-9678-a6aa5e5ed5c8","resolution":{"observed_at":"2026-08-14T13:46:53.906787Z","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/s10278-016-9931-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.127228Z","title":"Hassanpour, G","venue":null,"work_id":"d5ed7e17-8921-4044-921d-61a9dec7bb44","year":2017},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.910546Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:9428404e012524821ce815d8da54782e1374287ea6f03e7d3a2c6fb636a873c9","observation_id":"50629ec8-001d-4cfd-a874-3b6083c58848","resolution":{"observed_at":"2026-08-14T13:46:54.130228Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/radiol.2018180921","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.115530Z","title":"Annarumma, S","venue":null,"work_id":"0fb1a6cf-3251-4e20-8888-db9071aaf931","year":2019},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.914499Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:e06cb07ea9ee47955aceb7db14773b042ded2aa43c13c8f6a89abcc65f09e18c","observation_id":"94c022ec-dd10-4c6c-be32-3339091047d4","resolution":{"observed_at":"2026-08-14T13:46:54.119567Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10278-011-9411-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.102880Z","title":"Sevenster, R","venue":null,"work_id":"8b81f38f-40a7-4d6f-846c-db7a5b6ab103","year":2012},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.918178Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:e1f05b1a75d8e4604c796915ad5f14f8ef58d485384bac805f26c6e79a20ba0e","observation_id":"cd8353cb-49ba-42f9-9fa6-f14dedf6b5db","resolution":{"observed_at":"2026-08-14T13:46:54.107014Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"pubmed/2757068","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.993274Z","title":null,"venue":null,"work_id":"7943b541-3643-42c4-80b2-f48bd92dd342","year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.921530Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:1143a9484c6ca5d750947e7cfc92ece3ff6534fd73bf638fbb58a52a27d759d6","observation_id":"f80803c6-ed21-4961-b8cf-78811ee1fb7e","resolution":{"observed_at":"2026-08-14T13:46:55.005006Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"pubmed/2430326","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.606497Z","title":null,"venue":null,"work_id":"6b8d779b-64d5-4815-a44e-156c5b4c232f","year":2013},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.925030Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:ae436ac50bbfd21fc47f0130070fd5d4227bca0a891b1fb7e623ef3ab82aadf3","observation_id":"35c6eb36-dbbc-44da-9efd-aeabd8e5c392","resolution":{"observed_at":"2026-08-14T13:46:54.611419Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"pubmed/2330435","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.536515Z","title":"Roberts, B","venue":null,"work_id":"667012f2-b037-4f4a-af97-8e512281d657","year":2012},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.928794Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:b81e8162ad7568a81e160cbf2685e38e85a4e92cd7b39254497cf7b3cb5cf7e3","observation_id":"8af0c034-d372-49d8-bcc9-83b6366add1b","resolution":{"observed_at":"2026-08-14T13:46:54.542611Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:53.932557Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.932557Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:f73ebfa746436ac1030a0f4de5d5aa50c2c98ac07f0db386946ad6d5fb9332ef","observation_id":"8d182dac-2fa6-4218-ad74-ff5247a65af9","resolution":{"observed_at":"2026-08-14T13:46:53.932557Z","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":"pubmed/2988807","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.418337Z","title":null,"venue":null,"work_id":"6f68ab41-ecb4-447c-b34f-21f68fd46809","year":2018},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.936356Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:899e57c2f2ee6b89a687721596bac90dfc353b5704d6d356965281168ac25a4c","observation_id":"1979b6df-786b-4a1e-926e-4235016bf3e6","resolution":{"observed_at":"2026-08-14T13:46:54.423433Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:55.353544Z","title":"URL http://zdaniels.com/papers/ISBI2019{_}camera.pdf","venue":null,"work_id":"9a9a1434-580c-48f3-aabb-1d24e0804b7f","year":2019},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.939371Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:2ee9c4b0f8cb25ae9c6df9da0a972827fdfd56ac8dd1a210a70f6da9701435a2","observation_id":"8500db25-f565-4ed8-8ad7-bd799a183841","resolution":{"observed_at":"2026-08-14T13:46:55.357636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:53.942977Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.942977Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:a0d79b50842bb2c307c68e563d56ba36ec0ccb2726559816b69bd5b7e6d1b766","observation_id":"a9424c95-1ad1-4b1d-8c10-5b47ac9dd5a2","resolution":{"observed_at":"2026-08-14T13:46:53.942977Z","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":"2026-08-14T13:46:55.341788Z","title":null,"venue":null,"work_id":"704715da-fef3-41a0-9737-fbfa8fe6b4e0","year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.946824Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:0d7d7215ae876748864aa36dd92f201c3e9a966a7a606b47b4626007a1cae05c","observation_id":"8ee012df-1912-42d3-affe-e03645fdd26c","resolution":{"observed_at":"2026-08-14T13:46:55.346128Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:53.959037Z","title":"Huang, Y","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.959037Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:c660014c61859b6157954ea3f5a8e82261e0eaf57bb4aa5eef420397b64dcc88","observation_id":"d878aeea-4bf3-4ef3-af7f-df3c588cc5e6","resolution":{"observed_at":"2026-08-14T13:46:53.959037Z","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":"10.1016/j.jbi.2015.07.010","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.075328Z","title":"Leaman, R","venue":null,"work_id":"0478363f-0609-4c4b-92bc-d4439ae4fef1","year":2015},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.962932Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:0d57c09beefb193733897a1e382c64a944f7b87ef82cec61c07e275f4e40aa69","observation_id":"80c36415-6cd7-468a-801d-3ed2a1b74089","resolution":{"observed_at":"2026-08-14T13:46:54.079654Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:55.326255Z","title":null,"venue":null,"work_id":"92bbc995-f191-43a3-913c-264d9913e9cf","year":2010},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.965979Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:f7c3529f2621bd762387a05762fc66275c8dbffdbbebb86e7b6aa8f2a1088c9d","observation_id":"55632018-0a50-4baa-b4a1-0f4662b0036d","resolution":{"observed_at":"2026-08-14T13:46:55.331323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2018.85721","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.340460Z","title":"Candemir, S","venue":null,"work_id":"cfc8e23d-2d79-473b-a8f7-47a4cd80e899","year":2018},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.973324Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:64a99eb25f84fbee8d0951c6da79e8f218f73b92b5e3112ecd10b7d552458891","observation_id":"f717dd3d-45a4-44a1-b875-09fb8041dcea","resolution":{"observed_at":"2026-08-14T13:46:54.346294Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.01360","last_updated":"2016-04-07T15:09:36Z","snapshot_observed_at":"2026-08-14T22:07:32.980837Z","submitted_at":"2016-03-04T06:36:29Z","title":"Neural Architectures for Named Entity Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.01360","snapshot_observed_at":"2026-08-14T13:46:53.976707Z","title":"Lample, M","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.976707Z"},"links":{"cited_paper":"/paper/1603.01360","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:b613f3d2d0b69db7116fff158f70dfb8082bedc49e0cbc663a7e0d5d2725ac4a","observation_id":"47bdbc74-f116-468e-acc6-5042f2bab8b0","resolution":{"observed_at":"2026-08-14T13:46:53.976707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.04467","last_updated":"2016-03-16T16:57:12Z","snapshot_observed_at":"2026-08-14T22:06:04.800050Z","submitted_at":"2016-03-14T20:50:20Z","title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.04467","snapshot_observed_at":"2026-08-14T13:46:53.980639Z","title":"Abadi, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.980639Z"},"links":{"cited_paper":"/paper/1603.04467","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:be1caaa5697e9c35671f6de06b462ede5eb13b71c6f44419c3b640a6c368247b","observation_id":"02770756-a436-4017-8fa2-270759667183","resolution":{"observed_at":"2026-08-14T13:46:53.980639Z","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":"10.1186/s12859-017-1609-9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.064468Z","title":null,"venue":null,"work_id":"dea5f9be-6bc5-43e8-a9ae-47886fd753da","year":2017},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.985019Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:fff074a4a5df10605f658c0729b5f00870fff0a668a01ba85d6975fe68361d87","observation_id":"fee0fcbe-c53c-4ca5-ba17-b4308a1d3cfe","resolution":{"observed_at":"2026-08-14T13:46:54.068491Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1601.00770","last_updated":"2016-06-08T01:08:08Z","snapshot_observed_at":"2026-08-14T22:15:56.975257Z","submitted_at":"2016-01-05T08:53:05Z","title":"End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1601.00770","snapshot_observed_at":"2026-08-14T13:46:53.988534Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.988534Z"},"links":{"cited_paper":"/paper/1601.00770","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:e8a27b33f5578a7589cccb76c0620ff349166ef17b400c030bdca16c47a4d219","observation_id":"e8a9411b-eb98-45f1-a921-f5d563d73552","resolution":{"observed_at":"2026-08-14T13:46:53.988534Z","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":"10.1148/rg.266065168","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:46:54.052706Z","title":null,"venue":null,"work_id":"5d9e3056-185c-4148-b462-8d62c9de5c4d","year":2006},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.992137Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:c806ae15b766a9e1577e9a9cc4351cfdd04854a628a1df1407c56b6501b6ef65","observation_id":"65506f14-95a3-4095-8771-47af26eec6bc","resolution":{"observed_at":"2026-08-14T13:46:54.057604Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:46:53.995832Z","title":"Devlin, M.-W","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.995832Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:d667c028d9a7e716893cda3320bfde7a5b4a587170ff490c818de112dba4592b","observation_id":"433d8b70-ded3-4c92-a5e1-0620ed91d21f","resolution":{"observed_at":"2026-08-14T13:46:53.995832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1507.06228","last_updated":"2015-11-23T16:25:30Z","snapshot_observed_at":"2026-08-15T07:39:28.716334Z","submitted_at":"2015-07-22T15:29:14Z","title":"Training Very Deep Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1507.06228","snapshot_observed_at":"2026-08-14T13:46:53.999227Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.999227Z"},"links":{"cited_paper":"/paper/1507.06228","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:7c32fea7291eb0deb507c68d6291156ef5617a2bd8063aed5de749ef7c623aff","observation_id":"ad040744-fa55-4917-8702-18e88a5a0f02","resolution":{"observed_at":"2026-08-14T13:46:53.999227Z","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":"2026-08-14T13:46:54.005523Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:54.005523Z"},"links":{"citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:14fff5ec9a4ec47b717e618984ba1641d4f810b595a7ec079fd2c2750aaebf89","observation_id":"400d0557-33eb-48ef-bc09-ca6172125b84","resolution":{"observed_at":"2026-08-14T13:46:54.005523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.00273","last_updated":"2020-09-01T07:32:19Z","snapshot_observed_at":"2026-08-10T18:27:06.451369Z","submitted_at":"2020-09-01T07:32:19Z","title":"Graph-based Model of Smart Grid Architectures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.00273","snapshot_observed_at":"2026-08-14T13:46:53.969518Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning","version":1},"reference_index":236,"source":"pdf_text","source_observed_at":"2026-08-14T13:46:53.969518Z"},"links":{"cited_paper":"/paper/2009.00273","citing_paper":"/paper/1908.04485"},"observation_digest":"sha256:0666558b8e50e91e28ef2a941f168064e4ed21fbea3e4d72ad14084710064662","observation_id":"35c87a5c-a8a2-479e-ab8d-fd4ca8e4a5e4","resolution":{"observed_at":"2026-08-14T13:46:53.969518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.04485","last_updated":"2019-08-13T04:44:22Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T04:36:32.674813Z","submitted_at":"2019-08-13T04:44:22Z","title":"Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":18,"verified_exact":16,"verified_fuzzy":2},"total_outbound_references":37},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"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."}