{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ZQFM4RCDMAPWEQGWJLKSQEQYIP","short_pith_number":"pith:ZQFM4RCD","schema_version":"1.0","canonical_sha256":"cc0ace4443601f6240d64ad528121843f3c9d8a0a2b28c8f01465444a18ab585","source":{"kind":"arxiv","id":"2607.22778","version":1},"attestation_state":"computed","paper":{"title":"Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.NC","authors_text":"Olivier Oullier, Paul Barbaste, Xavier Vasques","submitted_at":"2026-07-24T08:55:28Z","abstract_excerpt":"Robust EEG motor imagery decoding remains limited by strong inter-individual variability, making it difficult to identify pipelines that generalize across users. We present a large-scale, standardized within-session benchmark of decoding pipelines across three public datasets: Cho2017 (52 subjects), PhysionetMI (109 subjects), and Zhou2016 (4 subjects). Using a common MOABB LeftRightImagery setting, two frequency bands (8-15 Hz and 8-30 Hz), and a broad combination of feature extraction, preprocessing, and classification steps, we analyzed 216,714 raw evaluation rows, which after structured ag"},"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":"2607.22778","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2026-07-24T08:55:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e53fe5e9c0e590bb1d0b90926a0b2723d64bfa7be04dd317c02df7c09cc3a3ab","abstract_canon_sha256":"6aaddaa8b5c6e924043a8bb9172010478fceec867e2243402d2f924280ce5416"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T00:21:53.919112Z","signature_b64":"/u5GYrtMPLAxvbSEvnit4qfv/6SKv78X7lj8P0tULf2i0++80gQXrKj/GIZ7DMMNQXTTGZJ7EZNmloCkUMFUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc0ace4443601f6240d64ad528121843f3c9d8a0a2b28c8f01465444a18ab585","last_reissued_at":"2026-07-28T00:21:53.918290Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T00:21:53.918290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.NC","authors_text":"Olivier Oullier, Paul Barbaste, Xavier Vasques","submitted_at":"2026-07-24T08:55:28Z","abstract_excerpt":"Robust EEG motor imagery decoding remains limited by strong inter-individual variability, making it difficult to identify pipelines that generalize across users. We present a large-scale, standardized within-session benchmark of decoding pipelines across three public datasets: Cho2017 (52 subjects), PhysionetMI (109 subjects), and Zhou2016 (4 subjects). Using a common MOABB LeftRightImagery setting, two frequency bands (8-15 Hz and 8-30 Hz), and a broad combination of feature extraction, preprocessing, and classification steps, we analyzed 216,714 raw evaluation rows, which after structured ag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22778","kind":"arxiv","version":1},"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/2607.22778/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":"2607.22778","created_at":"2026-07-28T00:21:53.918716+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.22778v1","created_at":"2026-07-28T00:21:53.918716+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22778","created_at":"2026-07-28T00:21:53.918716+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZQFM4RCDMAPW","created_at":"2026-07-28T00:21:53.918716+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZQFM4RCDMAPWEQGW","created_at":"2026-07-28T00:21:53.918716+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZQFM4RCD","created_at":"2026-07-28T00:21:53.918716+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/ZQFM4RCDMAPWEQGWJLKSQEQYIP","json":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP.json","graph_json":"https://pith.science/api/pith-number/ZQFM4RCDMAPWEQGWJLKSQEQYIP/graph.json","events_json":"https://pith.science/api/pith-number/ZQFM4RCDMAPWEQGWJLKSQEQYIP/events.json","paper":"https://pith.science/paper/ZQFM4RCD"},"agent_actions":{"view_html":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP","download_json":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP.json","view_paper":"https://pith.science/paper/ZQFM4RCD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.22778&json=true","fetch_graph":"https://pith.science/api/pith-number/ZQFM4RCDMAPWEQGWJLKSQEQYIP/graph.json","fetch_events":"https://pith.science/api/pith-number/ZQFM4RCDMAPWEQGWJLKSQEQYIP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP/action/storage_attestation","attest_author":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP/action/author_attestation","sign_citation":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP/action/citation_signature","submit_replication":"https://pith.science/pith/ZQFM4RCDMAPWEQGWJLKSQEQYIP/action/replication_record"}},"created_at":"2026-07-28T00:21:53.918716+00:00","updated_at":"2026-07-28T00:21:53.918716+00:00"}