{"as_of":"2026-08-20T23:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ec00a0e72ed919efec240f841345103b1e1177589b1ca22e6290098ea22ddefa","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T14:23:07.486131Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2605.24179/citation-record","integrity":"/paper/2605.24179/integrity","json":"/paper/2605.24179/citation-record.json","paper":"/paper/2605.24179"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/7854_2014_317","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Clinical and Pathological Features of Parkinson’s Disease","venue":"Current topics in behavioral neurosciences","work_id":"953f429c-6a88-4a1d-a24e-a74ff3a8a9fb","year":2015},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:f6cc5e3d5b4b0dcf8740d5dbb6f3dd94c425377ffbf66f866c7d7b71b4686aa0","observation_id":"8562a2eb-c75f-41fb-8761-342d2940754f","resolution":{"observed_at":"2026-06-30T14:24:44.376500Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.152546Z","title":"Parkinson’s disease","venue":null,"work_id":"aa3b90a4-8257-4e93-8a84-d3be4427d87b","year":2009},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:d2f71279394e3eb24bd0c970246d80059c4a2f23efa235d7bda36888b8ef8781","observation_id":"4524f4fb-b06b-4287-8bd4-d3149ad8ea3b","resolution":{"observed_at":"2026-07-08T23:15:45.153786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3233/jpd-181474","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The Emerging Evidence of the Parkinson Pandemic","venue":"Journal of Parkinson s Disease","work_id":"afc4282f-881f-4bc5-a19b-635fd9141fa3","year":2018},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:d4ac70ba9257d42c68a2107765072d5be6d853ac1987dd319ff2fd8bc85d1beb","observation_id":"906e433f-c220-46e1-9d91-a2976782b5eb","resolution":{"observed_at":"2026-06-30T14:24:44.378507Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.150685Z","title":"TheclinicalheterogeneityofParkinson’sdiseaseanditstherapeuticimplica- tions","venue":null,"work_id":"103a0447-a5f4-4e68-abc8-e062f157b1d1","year":2019},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:09da604b7aa431671759fd98da4a06227175a5ad73f8bf19dde5edaa649e3853","observation_id":"cc4dfd5e-5732-4780-8f44-0db4e810c81a","resolution":{"observed_at":"2026-07-08T23:15:45.151898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.154323Z","title":"Finding useful biomarkers for Parkinson’s disease.ScienceTranslationalMedicine.2018Aug;10(454):eaam6003.Availablefrom:https://www.science.org/doi/10.1126/ scitranslmed.aam6003","venue":null,"work_id":"4b79f06c-326f-4978-93ac-3685de915e1f","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:dda7234390d12505250b0e62465f7a899fe33829586d072d34eb2fd678e93d9f","observation_id":"f331e92c-3b77-4b1d-8457-d3936184cbf7","resolution":{"observed_at":"2026-07-08T23:15:45.156072Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.148256Z","title":"Significance of MRI in Diagnosis and Differential Diagnosis of Parkinson’s Disease","venue":null,"work_id":"fcf0da6d-95dc-4461-bc8e-61d24d1417b7","year":2010},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:4856a51461ce3bf9cc622125c6e56dc53d2f4ca86bb0f7ee3fd7067ce100fc9d","observation_id":"c5187f3d-6a0d-489e-a03c-aeff3dac04ff","resolution":{"observed_at":"2026-07-08T23:15:45.150024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.156709Z","title":"Magnetic resonance imaging for the diagnosis of Parkinson’s disease","venue":null,"work_id":"7747a29f-6b16-4bd1-83e7-a8e38a7b542f","year":2017},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:70c115106db7dcd35e4cd35657d19c8675239b3da6637ddcf77cb718f6097ccd","observation_id":"7deca63b-707b-4157-8749-1581e0800ede","resolution":{"observed_at":"2026-07-08T23:15:45.158044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.183054Z","title":"Parkinson’s disease","venue":null,"work_id":"41463b42-3976-43af-a978-0e24dd5c7808","year":2021},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:b2fbe7b15da8ecf54fe33746679b5b92b7bf5356b8fe162605b646803f588491","observation_id":"80a04405-0921-48d6-bbe6-e558d84eb9e1","resolution":{"observed_at":"2026-07-08T23:15:45.184185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2013.6233","doi":"10.1001/jamaneurol.2013.6233","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ParkinsonDiseaseSubtypes","venue":"JAMA Neurology","work_id":"f24cb5d6-cb6a-4d7b-b994-eff3e6460089","year":2013},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:701290f1b787c8552f12373b155cf5f1116cc3392f3eaccc5b62aab1884f17a0","observation_id":"e721b144-c630-41a9-86af-6fc3b6ac59da","resolution":{"observed_at":"2026-06-30T14:24:44.395763Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.165864Z","title":"Parkinson’s disease","venue":null,"work_id":"e18f325c-ecac-4c25-9a30-90a18162b2f7","year":2015},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:eef8d8897aa1374c15f5b09d2618a95464144fb8207ddc464fcad80516945d2a","observation_id":"b4d1a039-a021-4973-be3d-34120c2ee2ff","resolution":{"observed_at":"2026-07-08T23:15:45.167143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.167851Z","title":"EnhancingParkinson’sDiseaseDiagnosisthroughDeepLearning-BasedClas- sificationof3DMRIImages","venue":null,"work_id":"87c2b61d-e4f2-4f45-a2cd-092b371a9a9d","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:dfd0949ddc1b1186dc0096a6269c08a21d4c0546ef2191bcd9ea6721fd05b78c","observation_id":"791238ae-a456-4ccb-9ecf-d2d84e44cff6","resolution":{"observed_at":"2026-07-08T23:15:45.169210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.169712Z","title":"ClassificationofParkinson’sdiseaseusing3DConvolutionalNeuralNetworks (CNN)","venue":null,"work_id":"fef37e33-ea04-489a-a20e-603241c34049","year":2024},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:31843d835f5a924923575a02702b84568fcfe0dea917310a6f39af54d9986c85","observation_id":"932d92de-cb71-4fb8-ad63-2ccf828af644","resolution":{"observed_at":"2026-07-08T23:15:45.170817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.173593Z","title":"SyntheticMRIstudyofbrainvolumeandsubcorticalmyelininvarious Parkinson’sdiseasemotorsubtypes","venue":null,"work_id":"f81cd244-c9b7-4b57-99a6-9ebdc8094c2c","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:cb2bbfc5a4e054c85f9ab02a4ecfd05565bb44062d6028066a6a8d98ead34368","observation_id":"5db318d3-9a2a-4da7-828a-d9afeb20f98f","resolution":{"observed_at":"2026-07-08T23:15:45.174859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.163897Z","title":"Distributionpatternofirondepositioninthebasalgangliaofdifferentmotor subtypes of Parkinson’s disease","venue":null,"work_id":"ba8601e1-5e85-443a-942e-602467e0592d","year":2023},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:3c397e30aad5d0a0066548209c435c624f51f7ca03c1cb0f835990520665a017","observation_id":"27647f53-6481-4794-9a6a-0fedf6a33f41","resolution":{"observed_at":"2026-07-08T23:15:45.165312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.175457Z","title":"Quantitative susceptibility mapping as an indicator of subcortical and limbic iron abnormality in Parkinson’s disease with dementia","venue":null,"work_id":"febf3af6-712f-46f9-b758-8f95ac121e1d","year":2018},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:e350ab89cf1ca34e3ceb417a6033fae053dc41e3db9954150567a403d4fea549","observation_id":"26d354ce-c2df-46ae-9e11-02b09572eb9c","resolution":{"observed_at":"2026-07-08T23:15:45.176755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.177296Z","title":"Brainirondepositionislinkedwithcognitive severity in Parkinson’s disease","venue":null,"work_id":"0a821a37-8e09-4c47-90d9-bb9ee36ba70d","year":2020},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:b6e4442079e039a456cc4e18c9230898a6ae365edd15dd3099f4866b146d0d57","observation_id":"9d3e3e49-14ae-4423-9cca-cabc8b37c275","resolution":{"observed_at":"2026-07-08T23:15:45.178776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3233/jpd-150729","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Availablefrom:https://doi.org/10.3233/JPD-150729","venue":"Journal of Parkinson s Disease","work_id":"4964c2b0-b8dd-4d10-91f1-7e1336073da5","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:9429803426390449b8cb4484909df35c4d359b92289dba9923079d09ef2d871c","observation_id":"70dcd15a-6d78-494e-9430-1b42a04dd2d7","resolution":{"observed_at":"2026-06-30T14:24:44.397819Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s13040-025-00483-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cross-regional radiomics: a novel framework for relationship-based feature ex- traction with validation in Parkinson’s disease motor subtyping","venue":"BioData Mining","work_id":"5b945791-fd72-43e9-8546-c0531d5c6d0b","year":2025},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:a091908ec9fbf962cca6aaa3eae2255d0ff46d053726845a7d5f48404f9a5309","observation_id":"e6200771-fa3a-43e9-8dc6-dc385831805b","resolution":{"observed_at":"2026-06-30T14:24:44.392722Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.140181Z","title":"ExplainableclassificationofParkinson’sdiseasewithdifferentmotor subtypesbyanalyzingthesyntheticMRIquantitativeparametersofsubcorticalnuclei","venue":null,"work_id":"dc8f5369-7124-4fff-afee-c9e1f4f1e7b8","year":2025},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:a14a26f814bc2a19773f8b1da35120569e2008f34103340c086cdb5bd9f378f7","observation_id":"16ada36d-c551-495a-8906-1acb490f9759","resolution":{"observed_at":"2026-07-08T23:15:45.141371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.142042Z","title":"TheSTRAT-PARKcohort:Apersonalizedinitiative to stratify Parkinson’s disease","venue":null,"work_id":"f0d02130-d47b-4f35-8d5f-44906ddbd56d","year":2024},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:47dbeb804033934e972666927677fd91fa57de75261d7b81d97e552ffc7bf879","observation_id":"74c674e1-37f8-4e9b-b304-63fcd995e178","resolution":{"observed_at":"2026-07-08T23:15:45.143271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/mds.25383","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Movement Disorders","work_id":"3f25e4c5-11db-481e-89cb-54692f563c93","year":2013},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:f00cda4bf822d606e85995f22c67370fb2b18d75237165f5422dd2e6d0ed31a0","observation_id":"1829c0d0-6e4f-4650-ab43-60b4fc40b185","resolution":{"observed_at":"2026-06-30T14:24:44.390778Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.133886Z","title":"MP2RAGE, a self bias-field corrected sequenceforimprovedsegmentationandT1-mappingathighfield","venue":null,"work_id":"6e0daa83-de43-4e69-a2e3-97dc3e8097f2","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:7aa5a1bf0ab88ed3851d12728878a8cd6716ff60cf433f32d017493332825825","observation_id":"ec087d7c-4e64-4706-b9cd-e419c17f0d80","resolution":{"observed_at":"2026-07-08T23:15:45.135261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.145797Z","title":"ComputationallyEfficientCombinationofMulti- channelPhaseDataFromMulti-echoAcquisitions(ASPIRE)","venue":null,"work_id":"cac5b159-c675-4614-a1f5-e214bbb91676","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:40829868a51af6cf9064fb579336c3b21a8cd54e7aba4b08ae1dbf9bb04c935f","observation_id":"8c73d7a4-f7e9-4cec-a8d8-e54e0cb17dce","resolution":{"observed_at":"2026-07-08T23:15:45.147373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.122020Z","title":"Fastquantitativesusceptibilitymappingusing3D EPIandtotalgeneralizedvariation","venue":null,"work_id":"87cb1896-d469-4b2c-ba09-16c7525fdd23","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:a361ce999e716e116150a5d95d27d9d2aa833564c455ba180703b7513ed249ad","observation_id":"ee398515-9ee7-47f1-a4ce-37f528e6e458","resolution":{"observed_at":"2026-07-08T23:15:45.123341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/gigascience/giy082","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Nighres: processing tools for high-resolution neuroimaging","venue":"GigaScience","work_id":"9af480fd-f852-4c07-be00-9012ef8851a0","year":2018},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:2d64e4b7e6805cf946873480d82b8f9156b9b4c2b77fe12621aee490bc624f83","observation_id":"edde4f66-e9b9-47d3-bfe4-8e8cd57932b8","resolution":{"observed_at":"2026-06-30T14:24:44.386787Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.143821Z","title":"FastSurfer - A fast and accurate deep learning based neu- roimagingpipeline","venue":null,"work_id":"d41da07a-52e0-4a19-8a89-3fb312470094","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:33e57cf34484a11e71696a29198e578177e6e4993203448dbd7ed2a28efd929e","observation_id":"52038019-a4ae-40f6-b442-cb2818afb09b","resolution":{"observed_at":"2026-07-08T23:15:45.145231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.179329Z","title":"FastSurferVINN:Buildingresolution-independenceintodeeplearningsegmentationmeth- ods—A solution for HighRes brain MRI","venue":null,"work_id":"5b197ce8-9a24-47b1-8fe0-ad7cbbeb3c73","year":2022},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:0218cc78c5afaf67985cee2afcd495911284b1bf7f0ef8891e558bd147863cd0","observation_id":"6d2e10c4-591f-4e7f-8af8-b03779a4595a","resolution":{"observed_at":"2026-07-08T23:15:45.180621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.181258Z","title":"scikit-image:imageprocessinginPython","venue":null,"work_id":"8416c547-701f-4b31-b4e3-9a478e400aa4","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:77afb054d872fd2a23e28dcf127cd23d969b9150ec6f4db4d24c4d9d577d194c","observation_id":"52e99e32-ef5d-42e8-a6e9-01b3b18d58a2","resolution":{"observed_at":"2026-07-08T23:15:45.182509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.162040Z","title":"nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation","venue":null,"work_id":"7a88ec15-50da-487d-8649-87da6e111cdb","year":2021},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:8e6628e656ee10c65703ce758804e24f212951acd20284693ec13a4527687314","observation_id":"3172d06d-3011-49d5-9a04-499cd38a0300","resolution":{"observed_at":"2026-07-08T23:15:45.163310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.160266Z","title":null,"venue":null,"work_id":"33a4359c-4d4d-4e86-a8c7-f873d86fe980","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:b8f4b061975d705d312dc1446ef6416ffe6efac45b7c0d390fb1f649dfc274c7","observation_id":"3cc7e449-92a9-4395-98e9-25ff76fe14f6","resolution":{"observed_at":"2026-07-08T23:15:45.161447Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.158589Z","title":"Availablefrom:http://jmlr.org/papers/v12/pedregosa11a.html","venue":null,"work_id":"92ce2060-2836-4d09-82f8-14e25c9ea257","year":2011},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:2672d41e9e4424dfde96d0b440691882ac2d361767d43b97c3dc1db2fa9e3ff4","observation_id":"26ceffbd-530d-4b6e-8977-d86f00d8d656","resolution":{"observed_at":"2026-07-08T23:15:45.159792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.02754","last_updated":"2016-06-10T23:23:51Z","snapshot_observed_at":"2026-08-14T22:06:53.808328Z","submitted_at":"2016-03-09T01:11:51Z","title":"XGBoost: A Scalable Tree Boosting System","version":3},"cited_work":{"arxiv_id":"1603.02754","doi":"10.48550/arxiv.1603.02754","metadata_source":"pith","pith_arxiv_id":"1603.02754","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"XGBoost: A Scalable Tree Boosting System","venue":"cs.LG","work_id":"1b87323d-bb68-4e84-943e-d0e080e5c3ad","year":2016},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"cited_paper":"/paper/1603.02754","citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:c3fc157009cc293604c05b7ab1f37037fdfe9153bdc98cfc396bb199f961519b","observation_id":"7826dd98-0fa1-4945-af06-88aa7b0b917a","resolution":{"observed_at":"2026-06-30T14:24:44.861019Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-14T22:38:12.742215+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T22:38:12.742215+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.171492Z","title":"Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson’s disease","venue":null,"work_id":"0fe8ee50-1cc9-4bf9-b2b1-5162385bd783","year":2022},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:7bf7f7b83a1f81ba74b51b205d7f62613fba61dc4bd7c21cbcf6a2452ab21b34","observation_id":"1ef160ac-1e4a-454c-bd2e-471a3874a2b2","resolution":{"observed_at":"2026-07-08T23:15:45.172765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1023/a:1009715923555","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ATutorialonSupportVectorMachinesforPatternRecognition","venue":"Data Mining and Knowledge Discovery","work_id":"90ce6a70-164f-46ac-9451-2dc295d1b69e","year":1998},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:c75bbec98dc1c2f1f6cc3810c8ddebaa26596546e454933ade7294e080a7dd17","observation_id":"95c96070-5802-4e19-b5fc-9e0cf3a9025a","resolution":{"observed_at":"2026-06-30T14:24:44.380588Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-03T14:38:13.373228+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T14:38:13.373228+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12859-016-1228-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The parameter sensitivity of random forests","venue":"BMC Bioinformatics","work_id":"8eb38cbd-4224-4d67-bb6c-d59f3785c954","year":2016},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:752e8554bd15b84ba167253093fcc9ad7d4fdfbad23c192d3f84b646c2988fc7","observation_id":"6c80ebc4-2d78-4b78-9ed0-5772181706a8","resolution":{"observed_at":"2026-06-30T14:24:44.391199Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.184775Z","title":"Digitalmedicineandthecurseofdimensionality","venue":null,"work_id":"503bfd10-a90e-4b03-a190-12b1f0e4682d","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:a63826c505b038396445e61bf8d9fc5b9890a361a02163f12a6778df073a5b1d","observation_id":"ded81b48-7218-479d-bf48-b7ec373e7fb6","resolution":{"observed_at":"2026-07-08T23:15:45.186029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.124075Z","title":"Quantitative susceptibility mapping in Parkinson’s disease","venue":null,"work_id":"b9c0df53-a494-4ff1-b0a9-0870f0be1f5f","year":2016},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:b9add86205dee0b8a7a1da3d598542e98a2f5fc8e00ecab394704402b1cb25e1","observation_id":"ec399e46-b8a6-4426-8059-ea5b5778f7fa","resolution":{"observed_at":"2026-07-08T23:15:45.125555Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.126152Z","title":"Regionally progressive accumulation of iron in Parkinson’s disease as measured by quantitative susceptibility mapping","venue":null,"work_id":"a21a60bb-6c09-4347-b059-9778d0fbb578","year":2017},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:631ba6cd2745b727615a32c3d31da424bf20cda76a2cf468bef43606c2254494","observation_id":"009c39e2-fb49-49e4-afec-c3c2284e7246","resolution":{"observed_at":"2026-07-08T23:15:45.127465Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.10283","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T14:24:44.856564Z","title":"Utility of quantitative susceptibility map- ping and diffusion kurtosis imaging in the diagnosis of early Parkinson’s disease","venue":null,"work_id":"1c02375e-61f5-4d85-bf5a-146783a89129","year":2021},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:de2f8ce26252d71d128aed4269afbf55aaa188670b85b49cb9864d06e08aa5c8","observation_id":"b7f91215-70cc-4deb-b07b-661250c345e2","resolution":{"observed_at":"2026-06-30T14:24:44.858439Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.128059Z","title":"Different iron distribution patterns in Parkinson’s disease and its motor subtypes: a quantitative susceptibility mapping study","venue":null,"work_id":"81c4b581-74e7-4ef0-9f72-748f4dab72cb","year":2025},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:83771691af91bba6e57339ed5f6822af8f1c2d3d628df3b083f1561233e3eb79","observation_id":"b93fd82a-0f62-4ece-aafe-b13c4c8d3764","resolution":{"observed_at":"2026-07-08T23:15:45.129320Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.129948Z","title":"Evaluation of iron deposition in brain basal ganglia of patients with Parkinson’s disease using quantitative susceptibility mapping","venue":null,"work_id":"061593f4-6e06-431d-ad1b-98c83d494830","year":2019},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:cbd4ad2170d896383f57c44852919ee7a33f4614f14a8537dcab640a5f710090","observation_id":"641835cf-2d02-4093-82f1-d6fdb1003bd7","resolution":{"observed_at":"2026-07-08T23:15:45.131195Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.131918Z","title":"Region-specific disturbed iron distribution in early idiopathic Parkinson’sdiseasemeasuredbyquantitativesusceptibilitymapping","venue":null,"work_id":"5d8607d8-5b2e-4005-bc07-631fc2083ca1","year":2015},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:001d505d2346b4946f6e32c8962d77435b775cea5e75fe84887a710dda0049cf","observation_id":"60dd424d-a4bc-4989-b551-43ec2b07bd54","resolution":{"observed_at":"2026-07-08T23:15:45.133349Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.135783Z","title":"Quantifying brain iron deposition in patients with Parkinson’s disease using quantitative susceptibility mapping, R2 and R2*","venue":null,"work_id":"1048f1cf-0684-49cf-b5f8-6036857b6d80","year":2015},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:0e54e2e99837a606f90189f75eb031e296a20b722e30a2f4956e166587b972d4","observation_id":"576ecec6-172c-4498-a224-3d11fd5a78e1","resolution":{"observed_at":"2026-07-08T23:15:45.137032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-07-08T23:15:45.137783Z","title":"Midbrain and pallidal iron changes identify patientswithREMsleepbehaviourdisorderandParkinson’sdisease","venue":null,"work_id":"d2ad11d4-6ba4-4bc1-ac3c-c5e8068bc676","year":null},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:bef03282e6aa99db3de267b490f1652bfb251b05701c98f203a9bd6896717136","observation_id":"3663d2fa-a43c-432d-bc5a-eff8b1abafa0","resolution":{"observed_at":"2026-07-08T23:15:45.139652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s13721-025-00641-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Network Modeling Analysis in Health Informatics and Bioinformatics","venue":"Network Modeling Analysis in Health Informatics and Bioinformatics","work_id":"b8551fe1-64b0-4953-9688-5a5bcfd67e21","year":2025},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:0f4960eeaab36967e2107fab2bcad2f648b928a885927f30b8a6087cdd7360f2","observation_id":"f6f72086-7b12-4cde-b191-f883106d09b9","resolution":{"observed_at":"2026-06-30T14:24:44.389152Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"document/8566383","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T14:24:44.853865Z","title":"FeatureExtractionBasedonDeepLearningforSomeTraditionalMachineLearningMethods","venue":null,"work_id":"392e01cd-2411-49b9-bc48-27d0aefee761","year":2018},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:d764e7ed6d663e27b7d8d7c6517c46322a3d27ce6c995062a9f5597486f050df","observation_id":"01e3cd9c-fc58-4c99-88f9-c3fc3ec346bf","resolution":{"observed_at":"2026-06-30T14:24:44.855307Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1148/radiol.212696","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Swallow Tail Sign: Revisited","venue":"Radiology","work_id":"4dc915e6-3155-44e3-957b-8365cb44f07b","year":2022},"citing_paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T14:23:07.486131Z"},"links":{"citing_paper":"/paper/2605.24179"},"observation_digest":"sha256:787d397efe2035c25b9b6e2039077b65bfae5e820fc2ea824fd2658c37dec40d","observation_id":"f731f1ca-ffbd-44f0-8e09-e4ad6efeb3a8","resolution":{"observed_at":"2026-06-30T14:24:44.384667Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.24179","last_updated":"2026-05-22T20:03:20Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-13T15:27:40.341016Z","submitted_at":"2026-05-22T20:03:20Z","title":"7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":7,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":13,"verified_fuzzy":26},"total_outbound_references":47},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.24179."}