{"as_of":"2026-08-16T14:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:852904549064cb689ea45ea1110dd8ef28e00cd9a7f9144204378776b5701bc6","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:10:48.116749Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.04752/citation-record","integrity":"/paper/1908.04752/integrity","json":"/paper/1908.04752/citation-record.json","paper":"/paper/1908.04752"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:10:48.522315Z","title":"Traumatic brain injury in the united states; emergency department visits, hospitalizations, and deaths, 2002-2006,","venue":null,"work_id":"ec31cdd6-e736-4a93-b96b-057637da0d6c","year":2002},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.003236Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:0c8edae4a00bf100d93f8583d1199faf6260d68064c8eebed8a01939ce2f60d1","observation_id":"8d717c1c-4c04-4c90-94e1-5dbb3362aa6d","resolution":{"observed_at":"2026-08-14T14:10:48.527546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.507132Z","title":"Divergent classification methods of post-concussion syndrome after mild traumatic brain injury: prevalence rates, risk factors, and functional outcome,","venue":null,"work_id":"af26e299-5ad3-44e3-93dd-dff6cfe7d6cc","year":2018},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.008568Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:75292b5ccc5e06f9f1fc9fbe4af98c93f143332577e388a4c33de780cc6eb15c","observation_id":"9dbb0d69-ab73-4ff3-8e39-3a249bbac96a","resolution":{"observed_at":"2026-08-14T14:10:48.512307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.491650Z","title":"Mild traumatic brain injury: is diffusion imaging ready for primetime in forensic medicine?","venue":null,"work_id":"96464439-c31e-4a26-8b1f-fb6cf2377fa4","year":2010},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.013342Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:273f5b8e92141f281094a25835aa8d84f05eb6760d1ef34aa808cc167cf53855","observation_id":"4a7a5f8b-de8d-4a82-b7b9-97fdbf3dce23","resolution":{"observed_at":"2026-08-14T14:10:48.497272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.476836Z","title":"A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury,","venue":null,"work_id":"ea44975e-317e-4958-9a10-2a750d464f7d","year":2012},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.018118Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:153757e5ac24cc8de962c1afbfefff64ccb5e49c5a07e9a73ab14cc3d7342266","observation_id":"37f991b9-917c-4141-a550-128b92a6a8d1","resolution":{"observed_at":"2026-08-14T14:10:48.481850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.461947Z","title":"White matter tract integrity: an indicator of axonal pathology after mild traumatic brain injury,","venue":null,"work_id":"a288a296-dab9-4153-a6b0-0a1eb93ae7fa","year":2018},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.023265Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:bfa48c7e22edb96e62bb351924799d4ef5fc2126efb8c52f7430f8929db9bf47","observation_id":"90c3e66d-a818-4cac-b181-8d3b01a4dfc0","resolution":{"observed_at":"2026-08-14T14:10:48.466636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.447641Z","title":"Altered relationship between working memory and brain microstructure after mild traumatic brain injury,","venue":null,"work_id":"f9fe52da-1ef6-4d2f-afc8-ccb3c1133663","year":null},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.028014Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:b4d3435e9163d2444629f15b543eb72e0c11d9f69b9dbe31cba745cbdfd56738","observation_id":"6e6916e7-e142-464c-9bba-d238958d5e2a","resolution":{"observed_at":"2026-08-14T14:10:48.452079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.432332Z","title":"Short-term dti predictors of cognitive dysfunction in mild traumatic brain injury,","venue":null,"work_id":"72234e67-8103-47fe-923f-bf5efad07328","year":2008},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.032875Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:7ff763cb010b064006071157dbee9497592ca6350f3f6a8ffb22ae3df255466e","observation_id":"0f6b31b9-48aa-4010-b753-d905e861f7aa","resolution":{"observed_at":"2026-08-14T14:10:48.437874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.415851Z","title":"Classification algorithms using multiple mri features in mild trau- matic brain injury,","venue":null,"work_id":"aaf3fb0b-d668-4a54-a6f9-0f4e6e09f67e","year":2014},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.037858Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:ec74c7661774c6c50fd8b7a9fd8ec0f0a95bff887b3f9a8b9625a8b00f5fba5e","observation_id":"8817185e-2b21-4855-b7d7-1fcc30b591e8","resolution":{"observed_at":"2026-08-14T14:10:48.420803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.399482Z","title":"Prediction of longterm outcome of neuropsychological tests of mtbi patients using imaging features,","venue":null,"work_id":"7f5e6de7-2ad5-4a4d-af25-5d4bda722c80","year":2013},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.041958Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:15472cd156427ec2307503f740583cefe9f4394e4a5c10de69930ff5a42770c4","observation_id":"3d430a45-1700-477d-bfaa-6f610837db3a","resolution":{"observed_at":"2026-08-14T14:10:48.404871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.384228Z","title":"Mtbi identification from diffusion mr images using bag of adversarial visual features,","venue":null,"work_id":"192ed44c-7737-4957-ac6f-9533122e7be7","year":2019},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.045840Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:6684e07e0a43c7351866b002f4e95a8fc09ef017f9fc7eeb9373b5d0b1f9df70","observation_id":"581581b7-16ee-454e-94a3-b0304f78ea30","resolution":{"observed_at":"2026-08-14T14:10:48.389046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.05644","last_updated":"2016-05-25T00:17:45Z","snapshot_observed_at":"2026-08-14T22:22:29.258335Z","submitted_at":"2015-11-18T02:32:39Z","title":"Adversarial Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.05644","snapshot_observed_at":"2026-08-14T14:10:48.049545Z","title":"Adversarial autoencoders,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.049545Z"},"links":{"cited_paper":"/paper/1511.05644","citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:936f8e6660f6240eef0a5d500a52ff587a186cdbb72be9568ae787d716575cba","observation_id":"bbd51ce6-277b-457b-a87a-b6ce5a770119","resolution":{"observed_at":"2026-08-14T14:10:48.049545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:10:48.368795Z","title":"Un- supervised 3-d feature learning for mild traumatic brain injury,","venue":null,"work_id":"ebfb016d-a9c0-446c-b25c-19073c44b020","year":2016},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.054121Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:820991bb7de9a47f594025714b58133a604bdc28aeca2ae9d2872d868b7b1e2d","observation_id":"0d0b4ce2-1009-4078-9f33-5997166118d9","resolution":{"observed_at":"2026-08-14T14:10:48.373700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.353705Z","title":"Statistical machine learning to identify traumatic brain injury (tbi) from structural disconnections of white matter networks,","venue":null,"work_id":"e7261e81-4085-4771-8be0-9ebaf81a9050","year":2016},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.059127Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:2f11cf9ddb9cc1bef7e011e9c422172e538dd390a05ff4444fe1d6032d55f1d4","observation_id":"67fc9124-177f-4bfe-899f-567bc0d8519b","resolution":{"observed_at":"2026-08-14T14:10:48.358813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.063132Z","title":"Wrappers for feature subset selection,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.063132Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:d6d8c3775ef1731276aa6616a318321367da8586b7f0442cdd27cd232d74a125","observation_id":"3e424e5d-37d4-4397-aa5e-bda428b9432c","resolution":{"observed_at":"2026-08-14T14:10:48.063132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:10:48.329829Z","title":null,"venue":null,"work_id":"d00a5e81-b0e9-485d-be8c-e9b6b74d027c","year":2009},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.067139Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:db41e2578d800b20ab06fdc178b7baabb6a1e37778271fe31fed8ee558a8c735","observation_id":"26f3a0c8-d958-4371-9abc-677a9aa7d3eb","resolution":{"observed_at":"2026-08-14T14:10:48.333734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.314872Z","title":"White matter characterization with diffusional kurtosis imaging,","venue":null,"work_id":"5af655dd-49a5-47f8-a151-6595e783461b","year":2011},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.071095Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:f50b083eeb6971814b464949a69a1aede28ec5e671b86fa471b16e175c3488b2","observation_id":"ffa4585a-b1f1-4e0d-a4a1-60e58fe386ec","resolution":{"observed_at":"2026-08-14T14:10:48.320008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.299700Z","title":"Evaluating kurtosis-based diffusion mri tissue models for white matter with fiber ball imaging,","venue":null,"work_id":"12214941-67eb-4d7c-9dd7-a06d2e9d3e93","year":2017},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.075006Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:6948380ef0353fbd1ab1b43c1a145c3085fa6fbd83b62231520a4f03840202f8","observation_id":"25142f9e-77b2-4773-80cb-9c46271f43c4","resolution":{"observed_at":"2026-08-14T14:10:48.304863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.284108Z","title":"A survey on feature selection methods,","venue":null,"work_id":"cc5781f2-f7c7-413f-b9d7-05d0636cfd06","year":2014},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.080287Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:283a3949f6619b80d5ab17024fbad45c67cf261f6b2abf41fabdaa5e150730c5","observation_id":"6d1cb323-9934-46a6-a3f9-76ed25f4223a","resolution":{"observed_at":"2026-08-14T14:10:48.288890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.268168Z","title":"A wrapper approach for feature selection based on bat algorithm and optimum-path forest,","venue":null,"work_id":"bebd1d31-0aac-43d2-83b0-f732512264f6","year":2014},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.084527Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:02edb904580cf49ade46b870e5ed23d3b946d5837e4609e9a24b08b5ac142166","observation_id":"e504a0fb-936e-4101-8b57-4050cd156484","resolution":{"observed_at":"2026-08-14T14:10:48.273405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.252695Z","title":"Experiments with the graph traverser program,","venue":null,"work_id":"86922273-00d7-4b97-9ad3-8ddddc8813c5","year":1966},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.089039Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:fb97f1b716196ca1558338f55fcad22e8b6951bfdc5775376cd8d863a78f4551","observation_id":"fcea9e79-652b-40da-a4c3-fd72375ba8a8","resolution":{"observed_at":"2026-08-14T14:10:48.257763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.236448Z","title":"Optimal column subset selection by a-star search,","venue":null,"work_id":"475322fb-c5c0-4f25-810e-57c9642e4428","year":2015},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.093711Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:d4182fee0001d6f998632f83a623c59c1b01a03316539e2f1f21ffca881e52b7","observation_id":"10664411-a2c9-4724-81cd-009ab1453ecf","resolution":{"observed_at":"2026-08-14T14:10:48.241423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.220526Z","title":"Floating search methods in feature selection,","venue":null,"work_id":"cfaa5ec8-677c-457e-9a1f-05c6d5836412","year":1994},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.098732Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:aaa8faa6846a73095597b78071ab9d8c28a422569ecbcecb3bbb7af39327591d","observation_id":"eaae0983-2775-4b45-801b-2b8933c1d4ae","resolution":{"observed_at":"2026-08-14T14:10:48.225306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.202655Z","title":"Feature subset selection using a ge- netic algorithm,","venue":null,"work_id":"e07b9f39-ba76-4e65-b87c-e9b2b86d5833","year":1998},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.103380Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:fb0d76c1b66cf993e562116b4581ea9112a5945d2a230dad0ecbe819cc9799d9","observation_id":"6e512021-aee6-4035-b5aa-1727dabc4a57","resolution":{"observed_at":"2026-08-14T14:10:48.208200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.188627Z","title":"Hastie, R","venue":null,"work_id":"3b993bd9-979c-48ae-8894-bb6fcc1607cc","year":2013},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.107625Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:4f5207bea45412906f1331d171f5f53cf1881a2fa57e9b4e5ef7b4ada3b436ff","observation_id":"71b8caeb-b322-4409-8144-4256838aaf20","resolution":{"observed_at":"2026-08-14T14:10:48.192709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T14:10:48.112206Z","title":"Greedy function approximation: a gradient boosting machine,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.112206Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:80a07957473c34a681db6cd01ab11b20e3863207480946347dca91bea06a12aa","observation_id":"d111d1b3-0a6c-4265-bc56-78c1b6f27261","resolution":{"observed_at":"2026-08-14T14:10:48.112206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:10:48.162654Z","title":"Facial emotion recognition based on biorthogonal wavelet entropy, fuzzy support vector machine, and stratified cross validation,","venue":null,"work_id":"f3aef7f8-abf5-45cf-8fa3-8caa4aa1c2af","year":2016},"citing_paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:10:48.116749Z"},"links":{"citing_paper":"/paper/1908.04752"},"observation_digest":"sha256:54442a2cab541c2f2758334970f756a6b54ad22f048b66caabd9876d314cec39","observation_id":"080410f5-6023-4dbd-8d23-656bf7c92718","resolution":{"observed_at":"2026-08-14T14:10:48.169274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.04752","last_updated":"2019-11-11T13:23:34Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T09:28:13.814644Z","submitted_at":"2019-08-10T04:08:04Z","title":"Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":22},"total_outbound_references":26},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.04752."}