{"as_of":"2026-08-17T10:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba4fd709c3fb2c6edbd367d1646967a25e554bee6139ab93d2c1397a78ab5fb9","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:52:00.826470Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/1908.02334/citation-record","integrity":"/paper/1908.02334/integrity","json":"/paper/1908.02334/citation-record.json","paper":"/paper/1908.02334"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.ncl.2018.04.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.142673Z","title":"Epidemiology of Brain Tumors","venue":null,"work_id":"a3de7c26-3ff1-48b8-9866-b3850e6439d6","year":2018},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.710255Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:960cd9ad2684bf6eabd69648f1668a3276f9c7733fc4343ecaaf1279a601c92e","observation_id":"cbed2d6d-2591-4111-9101-2752f99f84b2","resolution":{"observed_at":"2026-08-14T14:52:01.147133Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:52:01.307732Z","title":"WHO classification of tumours of the central nervous system, revised, 4th edition","venue":null,"work_id":"401e524b-6bfc-4ba4-bba0-40a9c946ea56","year":2016},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.715268Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:3d038b007a1ec26a626ae6691581604b8cea77ef22838eab5e44423d6906ddf0","observation_id":"fd0f4a5e-e9a8-4484-a32b-3adfb54ddffc","resolution":{"observed_at":"2026-08-14T14:52:01.312035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1056/nejmoa1402121","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.129013Z","title":"Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas","venue":null,"work_id":"0a23faaa-7a28-4d85-b6ac-d9090cb592f7","year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.719454Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:b4566338ede64510ad68287b4826795db9cbbe8b03e8c95003d91d141aafa1a7","observation_id":"2c25d87d-cc64-46c4-b006-3d3a04556a00","resolution":{"observed_at":"2026-08-14T14:52:01.134326Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.drudis.2015.02.011","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.113921Z","title":"Toward an effective strategy in glioblastoma treatment","venue":null,"work_id":"eec14850-6e1c-4a1a-86b1-9575a9740aa7","year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.723744Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:cfce1247c5f44b9c8cae110fa02e4a972006d761874c75030d1caa769617b8f2","observation_id":"c9b0d49e-05aa-4d06-bf1d-a0d1e26a99f6","resolution":{"observed_at":"2026-08-14T14:52:01.118389Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/neuonc/3.3.193","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.098365Z","title":"Limitations of stereotactic biopsy in the initial management of gliomas","venue":null,"work_id":"ec8d8043-700c-48d3-81b8-47fcfea57f15","year":2001},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.728290Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:8ef7abf6b1b0fe2289c0ef21c17c417d939632dd99239f5745acd15580d8b3dd","observation_id":"2942c2dd-7c56-4fe5-aba6-23b5c32e1285","resolution":{"observed_at":"2026-08-14T14:52:01.102879Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3171/2014.12.jns141781","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.084939Z","title":"Blurring the boundaries between frame-based and frameless sterotaxy: feasibility study for brain biopsies performed with the use of a head -mounted robot","venue":null,"work_id":"d71a629d-1066-47f0-9364-56be6487d4d1","year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.732661Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:ea41c9f4ca43130c465c1dab410286102be72b8c9f29ffd638f2dde4a2bcac84","observation_id":"f80632a2-0d1c-4e26-b62f-90991ee2a35b","resolution":{"observed_at":"2026-08-14T14:52:01.089668Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-319-55466-2_10","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.072181Z","title":"Molecular imaging of diffuse low grade glioma","venue":null,"work_id":"f0f9931a-408d-4ba9-97e2-4eb0630a64c7","year":2017},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.737053Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:809786c8c0d03bfb2dd16d506322120fa2173ce04079e27288040c1c63bfefec","observation_id":"33f8b077-517c-4bc9-aeea-687ee746c487","resolution":{"observed_at":"2026-08-14T14:52:01.076305Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00234-013-1145-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.059361Z","title":"Utility of multiparametr ic 3 -T MRI for glioma characterization","venue":null,"work_id":"04e722ac-a4a4-4eec-9346-cd20b37911f2","year":2013},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.741188Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:0ad8f2414fac0f8988574cd30688e82732642f5c81f7ad0d9e574d393a6c185d","observation_id":"1b29e4a1-623e-40a5-a8be-2ef2f46f4699","resolution":{"observed_at":"2026-08-14T14:52:01.064043Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jns.2016.12.008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.046014Z","title":"The utility of diffusion MRI with quantitative ADC measurements for differentiating high -grade from low -grade cerebral gliomas: Evidence from a meta- analysis","venue":null,"work_id":"91754c8b-d3d5-4205-8393-76f4e63a503b","year":null},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.745065Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:9447acb70536f830d08437b120e02ae9fca9ad2e07f337000d7a85f5c7e3346b","observation_id":"b663ee13-4efb-4673-b142-782582c0f1b5","resolution":{"observed_at":"2026-08-14T14:52:01.050948Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-14T18:18:49.509277+00:00","source":"paper_reference_links","state":"open"},"event_date":"2017-01-26","event_type":"correction","notice_doi":"10.1016/j.jns.2017.01.049","provenance":{"observed_at":"2026-07-11T03:17:05.750922+00:00","source":"crossref","source_record_id":"10.1016/j.jns.2017.01.049->10.1016/j.jns.2016.12.008:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:52:00.749004Z","title":"Radiomics: images are more than pictures, they are data","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.749004Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:3b40cc41a683b0084e1e93a8b39b5f14e48b596c3d9f94492f3865f94ba5e537","observation_id":"f16cfb90-3c22-48a8-b1b9-bf98be1250be","resolution":{"observed_at":"2026-08-14T14:52:00.749004Z","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":"10.5405/jmbe.1183","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.024535Z","title":"Classification of small lesions in breast MRI: Evaluating the role of dynamically extracted texture features through feature selection","venue":null,"work_id":"8ba513e1-0cba-4a2d-95ff-8f4629d6dd86","year":2013},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.752614Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:b663e91fc67a2100e861039a9d90717c814354e5c57555aabbce9ab5e3fd0299","observation_id":"9380073b-3ee3-48a9-9a7d-b2ac5bb4f31d","resolution":{"observed_at":"2026-08-14T14:52:01.029534Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s13014-017-0885-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.008839Z","title":"Development and clinical application of radiomics in lung cancer","venue":null,"work_id":"81d2b1da-b135-4b73-995a-a672bcda44ee","year":2017},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.757065Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:a08a9f4da1d954335f31e081f561f8c7305a245106874421ac948a55161e3491","observation_id":"bb17443b-db7f-4c4d-a7a0-6a96b6ebbc89","resolution":{"observed_at":"2026-08-14T14:52:01.014563Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.1505935112","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.993467Z","title":"Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images","venue":null,"work_id":"111684e2-d09d-4607-a453-337bb4c04953","year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.761229Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:d69a32b547feb5dc57af38dda26249210fea6b61d1ec02ef473bd2a905c82e46","observation_id":"545df088-7b52-4fe9-b73f-71acf0565919","resolution":{"observed_at":"2026-08-14T14:52:00.997966Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/radiol.14132040","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.981060Z","title":"Data-driven grading of brain gliomas: A multiparametric MR imaging study","venue":null,"work_id":"56f865dd-86ca-4ecb-bd66-773fba533b72","year":2014},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.765051Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:23612f7746628c4cf90acd10f6bd1c003582a6ea354019630f98caf0dae4da68","observation_id":"f2552229-74b1-4246-a229-6d5b2a6cbbc0","resolution":{"observed_at":"2026-08-14T14:52:00.984996Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:52:00.768830Z","title":"The multimodal brain tumor image segmentation benchmark (BRATS)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.768830Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:4c6fc186a0618f7067c01542064c8c21d034e56a9ec71e2a6b7486d3c225cd95","observation_id":"59af9dd8-bfca-4ebd-a8d2-07e0c8fc614f","resolution":{"observed_at":"2026-08-14T14:52:00.768830Z","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":"2026-08-14T14:52:00.772652Z","title":"Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.772652Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:10760b7fdf21e3e2db08aeea9344cb1a1f83b7a3a064523bcee49f50b8d453bf","observation_id":"da48d4a2-567f-4bab-be48-0083e86a7f97","resolution":{"observed_at":"2026-08-14T14:52:00.772652Z","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":"2026-08-14T14:52:00.776781Z","title":"Brain tumor segmentation and radiomics survival prediction: Contribution to the BRATS 2017 challenge","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.776781Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:43e481e44d2107d130817ed95c532025b9466a0b3ae5d985dbd23465d87939e6","observation_id":"708bfc79-cb62-4e34-aabf-5a8da4fb1def","resolution":{"observed_at":"2026-08-14T14:52:00.776781Z","resolver_source":null,"status":"malformed_identifier"},"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.nicl.2014.08.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.953190Z","title":"Voxel -based clustered imaging by multiparameter diffusion tensor images for glioma grading","venue":null,"work_id":"de40ba95-7cfc-4dd3-ac97-a6a0887baca2","year":2014},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.780652Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:857992d228365d80f944d6da57a0ac7c27adf4c578852768bd22f859b3ad9d16","observation_id":"0f14bdba-f437-4ba0-a02d-48c99816b397","resolution":{"observed_at":"2026-08-14T14:52:00.957715Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:52:00.784998Z","title":"Radiomics strategy for glioma grading using texture features from multiparametric MRI","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.784998Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:c44950fb251a2a0970e6afe13cebaad09c7dbcf3a620eda5cfc00b277d306d62","observation_id":"36e3fe6c-1858-44b8-a857-c115ddd24354","resolution":{"observed_at":"2026-08-14T14:52:00.784998Z","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":"10.3978/j.issn.2223-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:01.226881Z","title":"Diffusion weighted magnetic resonance imaging and its recent trend—a survey","venue":null,"work_id":"0d6e5e92-f3a0-46ec-b8f3-698958c89b52","year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.788825Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:083b6e8b84c90302c4b0c52bebedf05e1b616494cdfbffe5d684ba0b8a712e80","observation_id":"a305ba70-1677-4b10-9d23-f37471864052","resolution":{"observed_at":"2026-08-14T14:52:01.231936Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.04050","last_updated":"2023-07-28T17:13:56Z","snapshot_observed_at":"2026-08-15T13:49:05.053439Z","submitted_at":"2020-04-07T16:30:44Z","title":"Polarization in relativistic fluids: a quantum field theoretical derivation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.04050","snapshot_observed_at":"2026-08-14T14:52:00.793236Z","title":"The dilemma of low grade glioma","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.793236Z"},"links":{"cited_paper":"/paper/2004.04050","citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:9bc16894bf13edf7ae39d29525db2de3fa980ba4c40e801c2a7a0c7acac97c3f","observation_id":"24feb249-9610-442c-a030-bd1d7b5abb42","resolution":{"observed_at":"2026-08-14T14:52:00.793236Z","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":"2026-08-14T14:52:00.798270Z","title":"Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.798270Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:6cc1d94bbdaad44ea97290da95059789f509ba4b6b19714e9d7b3d0862e58e8b","observation_id":"3bd8c0ca-803d-4667-a9f4-3c37e0062f8f","resolution":{"observed_at":"2026-08-14T14:52:00.798270Z","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/radiol.2231010594","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.921875Z","title":"Intracranial mass lesions: dynamic contrast -enhanced susceptibility-weighted echo-planar perfusion MR imaging","venue":null,"work_id":"168dcd27-9a04-4d19-b976-c9b31f482730","year":2002},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.802898Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:31153f7cfe9042af19e905ca2527c665776f9f10e25854a898864adac922f7c4","observation_id":"739a2d9c-7ec5-4d21-af29-5627d41f0b3d","resolution":{"observed_at":"2026-08-14T14:52:00.926789Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.7717/peerj.5982","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.908545Z","title":null,"venue":null,"work_id":"0948b4fa-7b6c-4774-a897-1476a22f0eac","year":2018},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.807445Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:ec0659b49f1b1e297dcdd0a6622caa2372b01a1e4dd24b89b0dec04ae52c2348","observation_id":"afbcf3cf-66be-4677-9364-15b6d047407e","resolution":{"observed_at":"2026-08-14T14:52:00.912992Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:52:00.812373Z","title":"Population-Based Studies on Incidence, Survival Rates, and Genetic Alterations in Astrocytic and Oligodendroglial Gliomas","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.812373Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:8a07ffa11960c263ee92ce859643d593eb6b0eee9d48170493b6db0e0e87ed09","observation_id":"1eb9dcd2-3295-4ee7-9a4b-24e957264e46","resolution":{"observed_at":"2026-08-14T14:52:00.812373Z","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":"10.1093/neuonc/nov189","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.885140Z","title":"CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008- 2012","venue":null,"work_id":"7a0356b0-e8ab-4772-a3b6-d24908b95770","year":2008},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.817018Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:b6f4cfd8b9eeea5b8208a85b635aa7bbf008949e1a1945e5ff7c6203907bbbcd","observation_id":"dc157b6e-6e4f-4312-b2f4-2b7c32727c01","resolution":{"observed_at":"2026-08-14T14:52:00.890102Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/1471-2407-11-325","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.870913Z","title":"Demographic variation in incidence of adult glioma by subtype, United States, 1992-2007","venue":null,"work_id":"9cd307eb-e9bc-4355-a07c-01b0a5f53623","year":1992},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.821962Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:62ac1b15130ab0e2cc2791191d47f795c7a12d365bcefa8606600711a58b221f","observation_id":"fd612e22-271b-4e69-91c5-f416ba66f368","resolution":{"observed_at":"2026-08-14T14:52:00.875413Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00701-014-2271-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:52:00.855388Z","title":"Anatomical features of glioblastoma and their potential impact on survival","venue":null,"work_id":"eb8a3ba4-a0df-435d-b57d-bfe988291dfa","year":2015},"citing_paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:52:00.826470Z"},"links":{"citing_paper":"/paper/1908.02334"},"observation_digest":"sha256:9f8fdf552ca3ea31d2f73cfddd9ef25887464ec9b7e10792cf582035616ee852","observation_id":"313199e8-8c45-4ff2-a2e2-ee75481ad212","resolution":{"observed_at":"2026-08-14T14:52:00.862130Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02334","last_updated":"2019-08-06T19:10:32Z","latest_version":1,"primary_category":"q-bio.QM","snapshot_observed_at":"2026-08-16T07:16:14.221616Z","submitted_at":"2019-08-06T19:10:32Z","title":"Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":18,"verified_fuzzy":1},"total_outbound_references":28},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.02334."}