{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ERBJGWPVF5QOOUHGJNRPPYVULD","short_pith_number":"pith:ERBJGWPV","schema_version":"1.0","canonical_sha256":"24429359f52f60e750e64b62f7e2b458c1f5cc844856b6fb5183f9d31ebf7f8f","source":{"kind":"arxiv","id":"2403.16540","version":1},"attestation_state":"computed","paper":{"title":"Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Fu Li, Lijian Zhang, Yang Li, Yijin Zhou, Youshuo Ji, Yuanfang Chen","submitted_at":"2024-03-25T08:31:54Z","abstract_excerpt":"Recognizing the pivotal role of EEG emotion recognition in the development of affective Brain-Computer Interfaces (aBCIs), considerable research efforts have been dedicated to this field. While prior methods have demonstrated success in intra-subject EEG emotion recognition, a critical challenge persists in addressing the style mismatch between EEG signals from the source domain (training data) and the target domain (test data). To tackle the significant inter-domain differences in cross-dataset EEG emotion recognition, this paper introduces an innovative solution known as the Emotional EEG St"},"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":"2403.16540","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-03-25T08:31:54Z","cross_cats_sorted":[],"title_canon_sha256":"1cb82aed26c1dc7d043dc99e0a7cd7c37c7c405408d766f5387174b33537995d","abstract_canon_sha256":"3489135d4e63314d0be2889f561a0c712ade5e517aba5b11b6cad1ce21ac4cfb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:00:17.486115Z","signature_b64":"l0Nzjzzfq6EJW+TnkRmsFsmrvDHAdDH529KsGnRsRuux4bTASPix5x6VmiWdEK2E4ArS4nd4zok9EYX5KjDnCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24429359f52f60e750e64b62f7e2b458c1f5cc844856b6fb5183f9d31ebf7f8f","last_reissued_at":"2026-07-05T08:00:17.485637Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:00:17.485637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Fu Li, Lijian Zhang, Yang Li, Yijin Zhou, Youshuo Ji, Yuanfang Chen","submitted_at":"2024-03-25T08:31:54Z","abstract_excerpt":"Recognizing the pivotal role of EEG emotion recognition in the development of affective Brain-Computer Interfaces (aBCIs), considerable research efforts have been dedicated to this field. While prior methods have demonstrated success in intra-subject EEG emotion recognition, a critical challenge persists in addressing the style mismatch between EEG signals from the source domain (training data) and the target domain (test data). To tackle the significant inter-domain differences in cross-dataset EEG emotion recognition, this paper introduces an innovative solution known as the Emotional EEG St"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.16540","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/2403.16540/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":"2403.16540","created_at":"2026-07-05T08:00:17.485694+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.16540v1","created_at":"2026-07-05T08:00:17.485694+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.16540","created_at":"2026-07-05T08:00:17.485694+00:00"},{"alias_kind":"pith_short_12","alias_value":"ERBJGWPVF5QO","created_at":"2026-07-05T08:00:17.485694+00:00"},{"alias_kind":"pith_short_16","alias_value":"ERBJGWPVF5QOOUHG","created_at":"2026-07-05T08:00:17.485694+00:00"},{"alias_kind":"pith_short_8","alias_value":"ERBJGWPV","created_at":"2026-07-05T08:00:17.485694+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/ERBJGWPVF5QOOUHGJNRPPYVULD","json":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD.json","graph_json":"https://pith.science/api/pith-number/ERBJGWPVF5QOOUHGJNRPPYVULD/graph.json","events_json":"https://pith.science/api/pith-number/ERBJGWPVF5QOOUHGJNRPPYVULD/events.json","paper":"https://pith.science/paper/ERBJGWPV"},"agent_actions":{"view_html":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD","download_json":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD.json","view_paper":"https://pith.science/paper/ERBJGWPV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.16540&json=true","fetch_graph":"https://pith.science/api/pith-number/ERBJGWPVF5QOOUHGJNRPPYVULD/graph.json","fetch_events":"https://pith.science/api/pith-number/ERBJGWPVF5QOOUHGJNRPPYVULD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD/action/storage_attestation","attest_author":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD/action/author_attestation","sign_citation":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD/action/citation_signature","submit_replication":"https://pith.science/pith/ERBJGWPVF5QOOUHGJNRPPYVULD/action/replication_record"}},"created_at":"2026-07-05T08:00:17.485694+00:00","updated_at":"2026-07-05T08:00:17.485694+00:00"}