{"as_of":"2026-08-17T12:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:100ad35ef3c8ad4a9ad75ce29e679178539ad5a247cc4cd46a889d306039e917","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T01:08:48.814023Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2602.10528/citation-record","integrity":"/paper/2602.10528/integrity","json":"/paper/2602.10528/citation-record.json","paper":"/paper/2602.10528"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:41.024250Z","title":"Parkinson's disease diagnosis using deep learning: A bibliometric analysis and literature review","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.024250Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:e11b09f05b8f700fccbde9b2afcc0b0174f69c2787cf9f7a92f837035354d82c","observation_id":"b98c6e2c-4ad7-49fe-8222-a7b7f8429d7f","resolution":{"observed_at":"2026-08-03T01:08:41.024250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:41.126096Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.126096Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:ec6c0e3db434a63a4d1cc1e0eefbaa590c6ec82e5328d96138dc3400bcb8c7a7","observation_id":"b93fbaba-c720-475e-b9bc-2b88444f1cab","resolution":{"observed_at":"2026-08-03T01:08:41.126096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neunet.2021.11.025","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism","venue":"Neural Networks","work_id":"b93bd067-e2ed-4ded-92e4-5e068eb52108","year":2022},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.203438Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:f942d6fab0ae12f56484dfd5f7b94a4f895332dbac96c29e8414166574d29794","observation_id":"4036c519-0d06-4683-8304-42089cbf1905","resolution":{"observed_at":"2026-08-03T01:13:28.770423Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.02893","last_updated":"2020-03-27T19:07:58Z","snapshot_observed_at":"2026-08-16T03:32:37.688772Z","submitted_at":"2019-07-05T15:26:26Z","title":"Invariant Risk Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.02893","snapshot_observed_at":"2026-08-03T01:08:41.276448Z","title":"Invariant risk minimization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.276448Z"},"links":{"cited_paper":"/paper/1907.02893","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:d5a6c7474ca300d6a15f81a6d57b0db09c9c6ef602d9fa32d39ac549c2269e86","observation_id":"be27f12a-bc63-4fcb-80f6-bc77c375bff4","resolution":{"observed_at":"2026-08-03T01:08:41.276448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:41.378552Z","title":"Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson's disease","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.378552Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:ce9db1f3e5babcee6cc9c4895c0f56b3256ad2ef772161cc71f043c40498fe16","observation_id":"66ec610c-d63e-4902-89e1-633e8652c1a7","resolution":{"observed_at":"2026-08-03T01:08:41.378552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:41.537108Z","title":"A riemannian modification of artifact subspace reconstruction for EEG artifact handling","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.537108Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:ee28e8f804666fea4d52000adfbd73b2a6be78b0f44c94649902b2ba4135ef3c","observation_id":"07b3bedb-4005-4c36-bdb4-d6aefda10faf","resolution":{"observed_at":"2026-08-03T01:08:41.537108Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:41.720938Z","title":"Prediction of mild Parkinsonism revealed by neural oscillatory changes and machine learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.720938Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:ec6c38de40ecaf704cb69ed239e852fe37888259c0a0de4b13a18108f2d9a8ce","observation_id":"240057c9-86e3-4775-9b98-f19dc45edc88","resolution":{"observed_at":"2026-08-03T01:08:41.720938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2025.02.11.25321886","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep Learning-Driven EEG Analysis for Personalized Deep Brain Stimulation Programming in Parkinson's Disease","venue":"medRxiv","work_id":"b5b66def-f205-4a45-8c5e-c470b9b5b875","year":2025},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.855027Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:104d6830a5b5ee07d3c240d1842c81704dd9382d00fe59c3451b4580e50c261d","observation_id":"95bf8f6e-6988-469a-833c-79420e751470","resolution":{"observed_at":"2026-08-03T01:13:28.670706Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:41.929402Z","title":"A method for optimizing the artifact subspace reconstruction performance in low-density EEG","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:41.929402Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:d490206b7e0c62a153a40eb7ff18e8e8458197163691afeb1de0dae5334b76b6","observation_id":"627fca83-8ccd-4c7f-8156-affc00b29485","resolution":{"observed_at":"2026-08-03T01:08:41.929402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.clinph.2017.11.023","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Diminished EEG habituation to novel events effectively classifies Parkinson's patients","venue":"Clinical Neurophysiology","work_id":"f3c53be2-f570-42d1-9093-d957eb176781","year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.065861Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:9535d02b780988ace4426db884fb2d2ecc5ad3fefa45fb9413467e30188b53da","observation_id":"1cb392b9-e1bc-4d85-8d3e-c5934f1b71a0","resolution":{"observed_at":"2026-08-03T01:13:28.544015Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:42.226988Z","title":"Evaluation of artifact subspace reconstruction for automatic EEG artifact removal","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.226988Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:6d473f916ef41e7963a17c50faa0ed24785bdbd86a7cdbfaf6471610ceccc63d","observation_id":"0dc9a405-5f43-4792-b263-ef933d490f10","resolution":{"observed_at":"2026-08-03T01:08:42.226988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1741-2552/adab21","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Transformer-based neural speech decoding from surface and depth electrode signals","venue":"Journal of Neural Engineering","work_id":"72c091aa-96e4-43d4-9a63-ad0b394af906","year":2025},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.349940Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:1763ccbdf7320e2602f4f34d45c681148f919867113a4184c900f830ddcfd81c","observation_id":"721efefe-e570-44a9-b609-4c26f6490289","resolution":{"observed_at":"2026-08-03T01:13:28.396684Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3150/23-bej1685","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kernel two-sample tests for manifold data","venue":"Bernoulli","work_id":"ddc5c3d4-4369-4f98-8421-a26b58354809","year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.518099Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:2438fa62e7985e6998f611b35b9706b97f40ddf732e19d9a1aa36e55d96a0ef6","observation_id":"596f4eaa-de15-4a0e-99e3-3f212240c994","resolution":{"observed_at":"2026-08-03T01:13:28.236506Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:42.631967Z","title":"Cluster embedding joint-probability-discrepancy transfer for cross-subject seizure detection","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.631967Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:0beda1e36b1908eb3a4f407a52d895ee56b60eca2be057b14f3c57208be7a677","observation_id":"9e5c9ab6-5ee2-48a3-8576-db34f0edfd67","resolution":{"observed_at":"2026-08-03T01:08:42.631967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:42.743833Z","title":"Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.743833Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:5dbb961433492e77ac8ae7cf3908f9b30531819abc7702c3563dda16e3069620","observation_id":"faa930dd-df6f-4a85-871e-b756098d6ef5","resolution":{"observed_at":"2026-08-03T01:08:42.743833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:42.873559Z","title":"MADG: margin-based adversarial learning for domain generalization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:42.873559Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:1174878254b1aed3251ff37c11650bd4d43f033c4d05682101a75e722a35ec63","observation_id":"1d2874a5-5112-49cb-af08-d3a6d1c0541d","resolution":{"observed_at":"2026-08-03T01:08:42.873559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:43.042679Z","title":"Disentangling document topic and author gender in multiple languages: Lessons for adversarial debiasing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.042679Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:9d29348e90dc4c8a9cace0ed4547d58885bf1843524989fe15c41d0196b0c454","observation_id":"754fa256-a234-410b-8166-fa825e5b6278","resolution":{"observed_at":"2026-08-03T01:08:43.042679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s1474-4422(18)30295-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016","venue":"The Lancet Neurology","work_id":"610aa230-264b-4934-9607-b5a97141a621","year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.143884Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:10ada645aa7cab138c8d90673d0a6f30ea538f9c7fac81ef9501b6c8a9f56f50","observation_id":"75b85fad-596e-407c-94af-d4e4cbeec465","resolution":{"observed_at":"2026-08-03T01:13:28.146051Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-03T06:19:24.809075+00:00","source":"paper_reference_links","state":"open"},"event_date":"2021-11-17","event_type":"correction","notice_doi":"10.1016/s1474-4422(21)00382-3","provenance":{"observed_at":"2026-07-11T03:15:40.751238+00:00","source":"crossref","source_record_id":"10.1016/s1474-4422(21)00382-3->10.1016/s1474-4422(18)30295-3:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:43.264760Z","title":"Variational mode decomposition","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.264760Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:768562171a844239f42599ae04868e09b965ffe9cedd115be3a2cc80bc9f86f0","observation_id":"64bb7a5a-acd0-409c-8ca2-7c72f1282c56","resolution":{"observed_at":"2026-08-03T01:08:43.264760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:43.371322Z","title":"Domain-adversarial training of neural networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.371322Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:6534022aa31618588910af62b8e02c7adb5a0ceb15d09accd6992b7ef52951ed","observation_id":"12457688-2ef0-4e2b-82bc-061d9b160379","resolution":{"observed_at":"2026-08-03T01:08:43.371322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neuroimage.2018.06.016","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus","venue":"NeuroImage","work_id":"3081505c-732b-44fb-8e4c-f42d093652a6","year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.450426Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:ab66dd6fe294d89adc1b9938d30f562ded383b6467d8f5f7cb64d96c30c71794","observation_id":"03e6df8a-5d83-4ec4-9234-3be495519a98","resolution":{"observed_at":"2026-08-03T01:13:28.093221Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:43.556900Z","title":"The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, In: Proceedings of the Royal Society of London","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.556900Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:7c1e64955ea34881561ea79b9816c9a20e09253665c8a71f4345a2dc607e5ee3","observation_id":"87ad25fb-6fa8-4ab7-a62f-eea7aba1a5fb","resolution":{"observed_at":"2026-08-03T01:08:43.556900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:43.673087Z","title":"Discrepancy between inter- and intra-subject variability in EEG-based motor imagery brain-computer interface: Evidence from multiple perspectives","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.673087Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:90edbf1eb86bb49716c57bbad49920b943a46bf7756b44661def7114e745b666","observation_id":"f3e9fca0-5441-4a93-aff2-178a452f7835","resolution":{"observed_at":"2026-08-03T01:08:43.673087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:43.723161Z","title":"M., Hersche, M., Wang, X., Kobayashi, N., Cavigelli, L., et al., 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.723161Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:83167c97eaacfa7086846a0dd00dc51fee9c7bd6e292935d22fc3efecd39441d","observation_id":"65594429-3a74-4ff9-856a-acef58d8ceb5","resolution":{"observed_at":"2026-08-03T01:08:43.723161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/e18010008","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Do, Song, I.U., Chung, Y.A., Jeong, J., 2016","venue":"Entropy","work_id":"ffc1ee57-0b05-4c55-8275-7a266250b30b","year":2016},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.839450Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:f52c5aa59e7ea2a5f911f1469463d0ba7980c36dbe24b16c4fbf5b4fe1feabf7","observation_id":"6cfc167c-8f74-432c-b93a-86ec4ced8e82","resolution":{"observed_at":"2026-08-03T01:13:27.947622Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00378","last_updated":"2025-01-06T05:32:03Z","snapshot_observed_at":"2026-08-17T03:52:50.092207Z","submitted_at":"2024-11-30T06:54:38Z","title":"Bi-Band ECoGNet for ECoG Decoding on Classification Task","version":3},"cited_work":{"arxiv_id":"2412.00378","doi":"10.48550/arxiv.2412.00378","metadata_source":"pith","pith_arxiv_id":"2412.00378","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Bi-Band ECoGNet for ECoG Decoding on Classification Task","venue":"math.NA","work_id":"b8a1976f-b139-4be1-9c9d-1cd4810dde17","year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:43.940630Z"},"links":{"cited_paper":"/paper/2412.00378","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:b96625d7d0822e7ab301be4619114243dd6242dd563f87619d6295dc7d1cc766","observation_id":"81de70a2-80d2-44b0-80e1-ecfc8fee743f","resolution":{"observed_at":"2026-08-03T01:13:27.823088Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0140-6736(14)61393-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Parkinson's disease","venue":"The Lancet","work_id":"322df395-f9f2-47a9-872c-095407b6b8fa","year":2015},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.025526Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:b99cb9cc85aa12b6988fb2b2adcae5268453c3fab230684e7ba10fda6e33e30d","observation_id":"42ebb291-2bec-470f-ae26-2f22784f8e8c","resolution":{"observed_at":"2026-08-03T01:13:27.656944Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:44.157682Z","title":"Unsupervised domain adaptation in brain lesion segmentation with adversarial networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.157682Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:21b39d14993a0f274283362ec46525b366c230fc73fff8f746202e226b0f12e0","observation_id":"ef90b58b-3fcb-4835-8ee7-468fd7b44259","resolution":{"observed_at":"2026-08-03T01:08:44.157682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s20010098","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data augmentation with suboptimal warping for time-series classification","venue":"Sensors","work_id":"c9b58e4b-fcee-49ea-8e98-5d1b5890967e","year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.297420Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:9f310bde1c3d4c81ac16e0e2dece6e5e2c6951afcf28050dd3c9fbcf07f2c5f7","observation_id":"1498e962-3b62-4eb2-9ae0-b9815c366d01","resolution":{"observed_at":"2026-08-03T01:13:27.492528Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1523/jneurosci.1368-19.2020","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Electrocorticogram (ECOG) is highly informative in primate visual cortex","venue":"Journal of Neuroscience","work_id":"a44dcaf7-5d3b-46c4-900e-687b1e77dd39","year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.388141Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:ddb8b168ef79c7d3d5ac6a41bcc6a320cf4adbcfdf00e7b7ef7ec17d2d5cdd5a","observation_id":"043d9f10-5749-42c0-9bbd-a87510300751","resolution":{"observed_at":"2026-08-03T01:13:27.332717Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/diagnostics13101769","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Distinguishing Parkinson's disease with GLCM features from the hankelization of EEG signals","venue":"Diagnostics","work_id":"17f60a49-eed8-455a-a29e-6b487a0a256f","year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.531501Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:14f730f2c9503cb515c8e928027c3ec13282eb558f2235560538658a8e14f3be","observation_id":"3ed6c718-cef9-445a-becf-e5173164674f","resolution":{"observed_at":"2026-08-03T01:13:27.227382Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s21227711","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The influence of filters on EEG-ERP testing: Analysis of motor cortex in healthy subjects","venue":"Sensors","work_id":"d804d652-c34b-465a-b4d3-711b91fedecd","year":2021},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.623486Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:419b0694815c8575d7ce07381a5e61530e41b71a3a8fdbf9752e9b775e11fb77","observation_id":"8ffb615f-44d7-481e-b5ed-cfdcd33dd105","resolution":{"observed_at":"2026-08-03T01:13:27.059644Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:44.676870Z","title":"Learning not to learn: Training deep neural networks with biased data","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.676870Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:48f01c1778728f7fa34ebef6ccb482ecc37a569fa603a49cb05a934ea24f438f","observation_id":"69115af4-1f8a-4f6a-8b95-b1e376fbab0e","resolution":{"observed_at":"2026-08-03T01:08:44.676870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12471","last_updated":"2025-02-18T02:58:50Z","snapshot_observed_at":"2026-08-16T12:57:29.991085Z","submitted_at":"2025-02-18T02:58:50Z","title":"Explainable AI-Driven Neural Activity Analysis in Parkinsonian Rats under Electrical Stimulation","version":1},"cited_work":{"arxiv_id":"2502.12471","doi":"10.48550/arxiv.2502.12471","metadata_source":"pith","pith_arxiv_id":"2502.12471","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Explainable AI-Driven Neural Activity Analysis in Parkinsonian Rats under Electrical Stimulation","venue":"q-bio.NC","work_id":"6df36157-fec6-4c99-a0c9-c8a1f1f35cf2","year":2025},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.762580Z"},"links":{"cited_paper":"/paper/2502.12471","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:7d59cda498f1bd4b57e84ce63d4d9a90eff01b92f8a20504219fbc1a1be1739a","observation_id":"e4c33bf2-1b30-4bc8-9afb-8745e6d4e3ef","resolution":{"observed_at":"2026-08-03T01:13:26.918343Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:44.917623Z","title":"Efficient artifact removal from low-density wearable EEG using artifacts subspace reconstruction","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.917623Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:bd975cbefbb91bc00fca479f8417a1ff7daf8fb2c0741187203d6cdaf8c09051","observation_id":"fc389253-3c98-4b3f-a7d5-1d7024093573","resolution":{"observed_at":"2026-08-03T01:08:44.917623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:44.994892Z","title":"Unsupervised representation learning visualization for brain activity dynamics in REM-sleep","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:44.994892Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:9dce3c29f28f96ab015d6bdaf6a32444e0631cc27734926a71e439d6444f097a","observation_id":"db27a2d9-319b-4a5a-99c0-acae365262a9","resolution":{"observed_at":"2026-08-03T01:08:44.994892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.136502Z","title":"High-frequency neural activity and human cognition: Past, present and possible future of intracranial EEG research","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.136502Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:0de676dbd623e622c47abe6bd4c389ece8d643dc6068b7f7b372577295c06ad4","observation_id":"a68b609b-ef25-4e11-8243-11f99dfcc174","resolution":{"observed_at":"2026-08-03T01:08:45.136502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1117/12.3007431","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-supervised learning for seizure classification using ECoG spectrograms","venue":null,"work_id":"88009fa2-1ed0-41cd-987c-cc4b486e6884","year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.228569Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:703098303f797671bfc2295b1a4f91888ba60998bf7355702bbb07ba0738efae","observation_id":"dc9b7ac8-d9c9-463d-bcbf-587e0242e192","resolution":{"observed_at":"2026-08-03T01:13:26.754251Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.321424Z","title":"EEGNet: A compact convolutional neural network for EEG-based brain-computer interfaces","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.321424Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:a76502bec8ad90391791aca4eee014472d91519c1048768722503b2eecc8a8ad","observation_id":"3c1fbf16-c4a7-4404-9f95-95cafab1e683","resolution":{"observed_at":"2026-08-03T01:08:45.321424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.399969Z","title":"Domain generalization with adversarial feature learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.399969Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:52c4b388bf552044bb2cc7e3c079536839bd138011aa281bbe36b062e42cfdff","observation_id":"27aa9601-f933-4fe2-ace9-c8adfd48bedd","resolution":{"observed_at":"2026-08-03T01:08:45.399969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.460169Z","title":"Adaptive deep brain stimulation in advanced Parkinson disease","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.460169Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:3edf7c1983dcae2bcde0a3ef50cdb19907c765b271aa654f8dd58eadb77c827e","observation_id":"3d3f7b90-7ee5-40d1-9af5-a47caaa4daf4","resolution":{"observed_at":"2026-08-03T01:08:45.460169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-030-36708-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reducing the subject variability of eeg signals with adversarial domain generalization, In: International Conference on Neural Information Processing","venue":"Lecture notes in computer science","work_id":"8535d214-1898-4843-b507-1ae981581e71","year":2019},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.513100Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:bb20ee2fd6f32f4f134dc9ba6dc444127322f5a497ee13caeaf4509013a610ae","observation_id":"d5348ffa-bc28-4808-8fac-d6c1ca8f00e2","resolution":{"observed_at":"2026-08-03T01:13:26.649952Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.624727Z","title":"Independent component analysis of electroencephalographic data","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.624727Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:f7ca67fb81433a351919e15cd1cfcac8c205f5ed52d33a56a4025b19c51aa427","observation_id":"602bb0a3-4dc8-4822-a4fe-a73972116766","resolution":{"observed_at":"2026-08-03T01:08:45.624727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-022-35115-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding","venue":"Nature Communications","work_id":"7d740ef0-9fde-4f5d-ac58-82ba100078d5","year":2022},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.699985Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:0ba7ddf8b2ccf3d03b422f960435b1bf5c6a6c34da5551cae7a5537cfcefd4f7","observation_id":"61124b8f-ed0f-4567-a868-25f255cea053","resolution":{"observed_at":"2026-08-03T01:13:26.539750Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2408.14477","doi":"10.48550/arxiv.2408.14477","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier","venue":"arXiv (Cornell University)","work_id":"99abdf8a-e543-4a7e-97fd-18506db13171","year":2025},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.770975Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:2edfa7c67150c98077d93a5f7db99578a20e4d99198fae99315d283c2644f2b4","observation_id":"499a62e1-505a-429d-a1b8-f4729a8c86b3","resolution":{"observed_at":"2026-08-03T01:13:26.434295Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1073/pnas.0913697107","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cortical activity during motor execution, motor imagery, and imagery-based online feedback","venue":"Proceedings of the National Academy of Sciences","work_id":"b3b2e46c-c50e-4a4c-a517-cfdc2664149f","year":2010},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.852950Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:3fb0bab86d4e2e52a1a2d682e3686851c326fc3ab97e89361db9c969f117af6c","observation_id":"200d38ac-980a-407d-ac6f-b4c9eff0336d","resolution":{"observed_at":"2026-08-03T01:13:26.332479Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-03T06:19:22.95588+00:00","source":"paper_reference_links","state":"open"},"event_date":"2010-03-19","event_type":"correction","notice_doi":"10.1073/pnas.1002462107","provenance":{"observed_at":"2026-07-11T03:05:08.888278+00:00","source":"crossref","source_record_id":"10.1073/pnas.1002462107->10.1073/pnas.0913697107:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.922091Z","title":"Domain generalization via invariant feature representation","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.922091Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:b63cefd3be9d248fc322221d5ae535bf29a4d834f789e8a6d56eaec2a7835ed1","observation_id":"4654d761-f32a-46dc-9302-7ff9166eb7f2","resolution":{"observed_at":"2026-08-03T01:08:45.922091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:45.975697Z","title":"Real-time neuroimaging and cognitive monitoring using wearable dry EEG","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:45.975697Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:74fe2e2ad6e63a7b2109b56fc9190b42aa25bd801feacad4d5f9c43d98652cb2","observation_id":"d67ff65c-c789-4410-8288-dd3e1f19f3e1","resolution":{"observed_at":"2026-08-03T01:08:45.975697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-78761-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Parkinson's disease detection from resting state EEG using multi-head graph structure learning with gradient weighted graph attention explanations","venue":"Lecture notes in computer science","work_id":"849f5683-9e71-4be8-a080-61d347562672","year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.053077Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:9581c21edf51bb2e85500f5e0e0000c0e43d57d0b491ecddd9734d4ce4514c2a","observation_id":"9da73a09-4074-4686-831f-a9250acb39ec","resolution":{"observed_at":"2026-08-03T01:13:26.247617Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:46.159243Z","title":"FASTER: fully automated statistical thresholding for EEG artifact rejection","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.159243Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:379980384ad7a4a7fc839afcfa3306eb91a673c84aa49eb0875e8dce2940dd18","observation_id":"13349e4d-507a-4599-8872-1efd40e0086b","resolution":{"observed_at":"2026-08-03T01:08:46.159243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.7717/peerj-cs.1663","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A novel automated Parkinson's disease identification approach using deep learning and EEG","venue":"PeerJ Computer Science","work_id":"cb50d44d-ecd5-48e4-89ab-810e749fc83a","year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.214902Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:b0e6ba0de7740a8fa8acf9be1d16f1d64c01306d602e31ade47206649b2ab4fc","observation_id":"007675f7-296e-45a3-bd7b-36aac9edaf07","resolution":{"observed_at":"2026-08-03T01:13:26.132036Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/mds.27115","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Past, present, and future of Parkinson's disease: A special essay on the 200th Anniversary of the Shaking Palsy","venue":"Movement Disorders","work_id":"70c127f6-cf33-4413-9c47-55f10ed33b51","year":2017},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.309361Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:653ebc57a9f4a180009dde02e9390acfd5fbd6bed18248ba1b7d3170746cddd5","observation_id":"53f997b1-7030-45a5-b3e4-c9afd78ff7b1","resolution":{"observed_at":"2026-08-03T01:13:26.017157Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00521-018-3689-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A deep learning approach for Parkinson's disease diagnosis from EEG signals","venue":"Neural Computing and Applications","work_id":"b5b140c1-0720-4f0b-935f-0e040db31152","year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.402752Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:07ddc2c5059eb8d8cbb3f12c3a6984ddcd684ab2e9c4c55a6490a0ce91dad852","observation_id":"951c3ed3-3e42-486d-8b16-36b4784a30ac","resolution":{"observed_at":"2026-08-03T01:13:25.927447Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:46.564773Z","title":"AMICA: An adaptive mixture of independent component analyzers with shared components","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.564773Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:69b2ef5beb49715a201d1de5cbaf0b13d6e856599ab4ecd86738b38f5ff15650","observation_id":"41693e17-58fe-4dc3-bb38-98bad02b6c7f","resolution":{"observed_at":"2026-08-03T01:08:46.564773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:46.653728Z","title":"On the high dimensional power of a linear-time two sample test under mean-shift alternatives","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.653728Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:81326fb87f5bb7acd443b205857d2785f3385cde9fe3a67ae2861b84e8431658","observation_id":"ae02a785-f985-43fc-8258-ab9e1ee839a5","resolution":{"observed_at":"2026-08-03T01:08:46.653728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.13695","last_updated":"2022-02-07T20:52:52Z","snapshot_observed_at":"2026-08-17T09:58:10.910992Z","submitted_at":"2021-06-25T15:28:48Z","title":"CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals","version":4},"cited_work":{"arxiv_id":"2106.13695","doi":"10.48550/arxiv.2106.13695","metadata_source":"pith","pith_arxiv_id":"2106.13695","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals","venue":"cs.LG","work_id":"d129f422-ec95-44ec-9803-c76eb9e84033","year":2021},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.774280Z"},"links":{"cited_paper":"/paper/2106.13695","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:34645acaf95c9d12c40a040087c72b5dd3c63a1b9cc9de1610ad52dfc9ffe5fb","observation_id":"bc86e15e-811a-40ed-b734-c1b73aad0d55","resolution":{"observed_at":"2026-08-03T01:13:25.813922Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.08731","last_updated":"2020-04-02T05:40:29Z","snapshot_observed_at":"2026-08-14T08:06:00.989531Z","submitted_at":"2019-11-20T06:43:41Z","title":"Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.08731","snapshot_observed_at":"2026-08-03T01:08:46.940916Z","title":"Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:46.940916Z"},"links":{"cited_paper":"/paper/1911.08731","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:7a3310fb5a530e190e457564e723b7af80b4267c6db62a51f010e80b19304149","observation_id":"6c99dcd4-8eb9-4552-a832-64ba23310c12","resolution":{"observed_at":"2026-08-03T01:08:46.940916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:47.055180Z","title":"Single-trial EEG analysis using an adaptive autoregressive model","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.055180Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:40804d6b5fd7d1c70dc84298f16a902544eba2cd7ab0f507dc3c657ba8b8d3d8","observation_id":"942d4d67-3860-40f6-a296-293df23be55b","resolution":{"observed_at":"2026-08-03T01:08:47.055180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.neunet.2020.06.018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals","venue":"Neural Networks","work_id":"4f740b0a-8324-40f3-b7e9-5e6a0981ff62","year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.152212Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:70b716902078ffc1e69d73fb7f6b54c70013c8840f1229d8d5a6e6a9740560d3","observation_id":"f2ad3104-c58d-4684-b068-42d5ce9dcb09","resolution":{"observed_at":"2026-08-03T01:13:25.638774Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.10745","last_updated":"2018-05-01T05:51:52Z","snapshot_observed_at":"2026-08-14T19:21:00.336843Z","submitted_at":"2018-04-28T05:20:53Z","title":"Generalizing Across Domains via Cross-Gradient Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.10745","snapshot_observed_at":"2026-08-03T01:08:47.278250Z","title":"Generalizing across domains via cross-gradient training","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.278250Z"},"links":{"cited_paper":"/paper/1804.10745","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:8fae3912b739b60b8923938e0eb9766b0bf49a42f50199f1766f3a52d65a5ecd","observation_id":"5dd4c092-9960-41a0-af8d-d2a345b69934","resolution":{"observed_at":"2026-08-03T01:08:47.278250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/adhm.202405179","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Wireless Cortical Surface Implant for Diagnosing and Alleviating Parkinson's Disease Symptoms in Freely Moving Animals","venue":"Advanced Healthcare Materials","work_id":"a052a6de-e215-4af5-a4d5-7670a5465c6d","year":2025},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.391595Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:58e21cb294cffa09bbcffd9325845ccb321a4284cbeeda53dbb1af2dfb5af17a","observation_id":"39f83b1a-00c1-44b4-89ac-9cf1abd2c298","resolution":{"observed_at":"2026-08-03T01:13:25.478837Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.clinph.2019.12.399","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Frontal theta and beta oscillations during lower-limb movement in Parkinson's disease","venue":"Clinical Neurophysiology","work_id":"cdd5fbfe-f23b-4e59-8731-02361a9badf4","year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.520614Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:21583eca1e8319f25342b3e90d270a9007103a551b18d597a541058241376a20","observation_id":"cf45b285-041a-4ad0-9e9c-98b6126f113d","resolution":{"observed_at":"2026-08-03T01:13:25.357874Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/sleep/zsad208","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Dusk2Dawn: an EEGLAB plugin for automatic cleaning of whole-night sleep electroencephalogram using Artifact Subspace Reconstruction","venue":"SLEEP","work_id":"97011c5b-1fd3-4497-bb57-48be33c0531a","year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.617975Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:e97c1d789bfd0d167b371172ea5985836a89c85cb9feac4c98e80bd0bab6bc7f","observation_id":"98d222dd-e2c3-4c69-8a2c-43ef6b7bd9f2","resolution":{"observed_at":"2026-08-03T01:13:25.182225Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:47.765731Z","title":"EEG conformer: Convolutional transformer for EEG decoding and visualization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.765731Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:21e0ea13ca852c74fe4a0ef31558f2f749a3f5c712cbdab0c28d10b72a3a5a89","observation_id":"991afb82-333f-43a1-9a76-e37756e679d2","resolution":{"observed_at":"2026-08-03T01:08:47.765731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:47.869711Z","title":"EEG and MEG coherence: Measures of functional connectivity at distinct spatial scales of neocortical dynamics","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.869711Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:0b154f2bdc3a5b5dc10a16a861058872531df210a47c6f4df2742e113369662c","observation_id":"7bb7f50a-6b61-490e-bb99-a108e5400d2e","resolution":{"observed_at":"2026-08-03T01:08:47.869711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:47.995823Z","title":"Generalizable electroencephalographic classification of Parkinson's disease using deep learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:47.995823Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:cd7367e7e4c04b69c81b865faf53fa8e799d82415260680be1714226b842a227","observation_id":"e849d484-1ef8-44c1-baca-1db89d639d72","resolution":{"observed_at":"2026-08-03T01:08:47.995823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:48.103115Z","title":"Local domain generalization with low-rank constraint for EEG-based emotion recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.103115Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:8f5dc913d2214bc4c178edaa3a01031631dc922b9a4100f19ae6a17e8351d763","observation_id":"43f58cac-ee1a-414a-a4e2-115db0579e59","resolution":{"observed_at":"2026-08-03T01:08:48.103115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1741-2552/aa7f40","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Intracranial EEG fluctuates over months after implanting electrodes in human brain","venue":"Journal of Neural Engineering","work_id":"fa5c14bb-59f3-446e-a4b3-912a888b57be","year":2017},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.224224Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:916279fcf32d5a1fe357e7138f210a2842914cc19e91e0e4c43b59e3a0c45642","observation_id":"fa434439-deb8-4845-a1b7-4cd62e3582bf","resolution":{"observed_at":"2026-08-03T01:13:24.993443Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.12751/g-node.lzvqb5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation","venue":"German Neuroinformatics Node","work_id":"7d060a9c-3d0b-4b81-8f17-b4569dad93cf","year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.328293Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:4d4584f528f39b39a834d4de56941728f767ebf21cc6ad4af58cb91030922f77","observation_id":"4389c2e5-5cce-4b02-a27f-2c08e18c8294","resolution":{"observed_at":"2026-08-03T01:13:24.850545Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v38i1.27819","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DMMR: Cross-subject domain generalization for EEG-based emotion recognition via denoising mixed mutual reconstruction","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","work_id":"3f1da556-e6c2-45bb-9f38-b995f03dd33a","year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.455115Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:5fec02a34577863aae3088f935db1db82eeebf63cd1fe5b0023dd7d71ba548c8","observation_id":"c1b4b6f1-c1f7-4d0e-8e60-d5df9ab043ac","resolution":{"observed_at":"2026-08-03T01:13:24.742073Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1001/jama.2008.929","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bilateral deep brain stimulation vs best medical therapy for patients with advanced parkinson disease: A randomized controlled trial","venue":"JAMA","work_id":"52b0d1a7-d518-458f-8092-ed6002ba9af8","year":2009},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.570377Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:1053102d6d82eb224c7876b6af72512741c306e08c1d8256e5e25f3f8cf0346b","observation_id":"ca92326d-fee7-4d8a-ac9f-7bba1c8c31c2","resolution":{"observed_at":"2026-08-03T01:13:24.646269Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:48.672534Z","title":"Adversarial Training based Domain Adaptation for Cross-Subject Emotion Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.672534Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:cec831f2f2f326a63ac15a68eeb1922cc8893db3c540941e1c15194d0e1bb2db","observation_id":"c3068155-5882-46b3-9eeb-c15e596059eb","resolution":{"observed_at":"2026-08-03T01:08:48.672534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13249","last_updated":"2020-03-30T07:48:52Z","snapshot_observed_at":"2026-07-06T09:08:14.551707Z","submitted_at":"2020-03-30T07:48:52Z","title":"Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training","version":1},"cited_work":{"arxiv_id":"2003.13249","doi":"10.48550/arxiv.2003.13249","metadata_source":"pith","pith_arxiv_id":"2003.13249","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training","venue":"cs.LG","work_id":"797e55c7-5139-400e-9714-f5dff9341295","year":2020},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.728457Z"},"links":{"cited_paper":"/paper/2003.13249","citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:5faa0641a7dde7dd02133d9db2a6712d40b337f69caf4f6fef46cd45bcb502d9","observation_id":"21c8da24-1df6-4f26-a839-2b9f8362904a","resolution":{"observed_at":"2026-08-03T01:13:24.527149Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T01:08:48.814023Z","title":"Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-03T01:08:48.814023Z"},"links":{"citing_paper":"/paper/2602.10528"},"observation_digest":"sha256:0c74362257daa978315d81d6fedcd52143d1d013f4c46f62e1a00b238c06eeaf","observation_id":"2250393e-8ac0-4c75-b6e0-bdf6ea167ed3","resolution":{"observed_at":"2026-08-03T01:08:48.814023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.10528","last_updated":"2026-06-30T01:30:13Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T13:35:55.415022Z","submitted_at":"2026-02-11T04:52:46Z","title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":40,"verified_exact":34,"verified_fuzzy":0},"total_outbound_references":74},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2602.10528."}