{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GL7YKNMAO3FAZIV5ZMONPLUXSP","short_pith_number":"pith:GL7YKNMA","schema_version":"1.0","canonical_sha256":"32ff85358076ca0ca2bdcb1cd7ae9793ca739895e0439b6a432a9830c0500989","source":{"kind":"arxiv","id":"2602.10528","version":2},"attestation_state":"computed","paper":{"title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Hanseul Choi, Jibum Kim, Seongwon Jin, Sunggu Yang, Sungho Park","submitted_at":"2026-02-11T04:52:46Z","abstract_excerpt":"We propose a novel swap-adversarial framework that mitigates high inter-subject variability and the high-dimensional low-sample-size problem in electrocorticography (ECoG) data. It achieves robust domain generalization across ECoG and electroencephalography (EEG)-based brain-computer interface datasets. Our framework integrates (1) robust preprocessing, (2) inter-subject balanced channel swap (ISBCS) for cross-subject augmentation, and (3) domain-adversarial learning (DAL) to suppress subject-specific bias. The ISBCS method is a bio-inspired channel swapping strategy that exchanges only functi"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2602.10528","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-11T04:52:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fe449ae8a8ec8407d05cbf90c58cd7633c281adf1973fcb30a68fe1587abff75","abstract_canon_sha256":"9c8fa5adffb90d41a3f8f5cb59159077af4002f30771e36015cc805a2dcb6912"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:17:13.430100Z","signature_b64":"9EntlNWpV8Z9owTEc6tUHj4k/WWKlkncIqRAUDrL7WKwX/LkpwmppPhd4b035kxWZTwZDXyrRFyHXVaAD9WGAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32ff85358076ca0ca2bdcb1cd7ae9793ca739895e0439b6a432a9830c0500989","last_reissued_at":"2026-07-01T01:17:13.429585Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:17:13.429585Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Hanseul Choi, Jibum Kim, Seongwon Jin, Sunggu Yang, Sungho Park","submitted_at":"2026-02-11T04:52:46Z","abstract_excerpt":"We propose a novel swap-adversarial framework that mitigates high inter-subject variability and the high-dimensional low-sample-size problem in electrocorticography (ECoG) data. It achieves robust domain generalization across ECoG and electroencephalography (EEG)-based brain-computer interface datasets. Our framework integrates (1) robust preprocessing, (2) inter-subject balanced channel swap (ISBCS) for cross-subject augmentation, and (3) domain-adversarial learning (DAL) to suppress subject-specific bias. The ISBCS method is a bio-inspired channel swapping strategy that exchanges only functi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.10528","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.10528/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2602.10528","created_at":"2026-07-01T01:17:13.429635+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.10528v2","created_at":"2026-07-01T01:17:13.429635+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.10528","created_at":"2026-07-01T01:17:13.429635+00:00"},{"alias_kind":"pith_short_12","alias_value":"GL7YKNMAO3FA","created_at":"2026-07-01T01:17:13.429635+00:00"},{"alias_kind":"pith_short_16","alias_value":"GL7YKNMAO3FAZIV5","created_at":"2026-07-01T01:17:13.429635+00:00"},{"alias_kind":"pith_short_8","alias_value":"GL7YKNMA","created_at":"2026-07-01T01:17:13.429635+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP","json":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP.json","graph_json":"https://pith.science/api/pith-number/GL7YKNMAO3FAZIV5ZMONPLUXSP/graph.json","events_json":"https://pith.science/api/pith-number/GL7YKNMAO3FAZIV5ZMONPLUXSP/events.json","paper":"https://pith.science/paper/GL7YKNMA"},"agent_actions":{"view_html":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP","download_json":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP.json","view_paper":"https://pith.science/paper/GL7YKNMA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.10528&json=true","fetch_graph":"https://pith.science/api/pith-number/GL7YKNMAO3FAZIV5ZMONPLUXSP/graph.json","fetch_events":"https://pith.science/api/pith-number/GL7YKNMAO3FAZIV5ZMONPLUXSP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP/action/storage_attestation","attest_author":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP/action/author_attestation","sign_citation":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP/action/citation_signature","submit_replication":"https://pith.science/pith/GL7YKNMAO3FAZIV5ZMONPLUXSP/action/replication_record"}},"created_at":"2026-07-01T01:17:13.429635+00:00","updated_at":"2026-07-01T01:17:13.429635+00:00"}