{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A7GDULB7GZJ4YS2XPJVBZGG3SO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"606584199a6d867b0c412d0eb51cb3796a4bb4960aa31b45af21e8cff8e2dd42","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-09-24T08:25:40Z","title_canon_sha256":"100ca8afe29bca034d4668ab1286f26926a25c2b7bd5485aa0b6093d87074256"},"schema_version":"1.0","source":{"id":"2410.07196","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07196","created_at":"2026-07-05T09:18:32Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07196v1","created_at":"2026-07-05T09:18:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07196","created_at":"2026-07-05T09:18:32Z"},{"alias_kind":"pith_short_12","alias_value":"A7GDULB7GZJ4","created_at":"2026-07-05T09:18:32Z"},{"alias_kind":"pith_short_16","alias_value":"A7GDULB7GZJ4YS2X","created_at":"2026-07-05T09:18:32Z"},{"alias_kind":"pith_short_8","alias_value":"A7GDULB7","created_at":"2026-07-05T09:18:32Z"}],"graph_snapshots":[{"event_id":"sha256:60b01b00b5bb12a07b5a36f0f0c86908e0a82c68ceba0721607c4b9d7f3d1d26","target":"graph","created_at":"2026-07-05T09:18:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.07196/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing number of dispersed EEG dataset publications and the advancement of large-scale Electroencephalogram (EEG) models have increased the demand for practical tools to manage diverse EEG datasets. However, the inherent complexity of EEG data, characterized by variability in content data, metadata, and data formats, poses challenges for integrating multiple datasets and conducting large-scale EEG model research. To tackle the challenges, this paper introduces EEGUnity, an open-source tool that incorporates modules of 'EEG Parser', 'Correction', 'Batch Processing', and 'Large Language ","authors_text":"Chengxuan Qin, Longsheng Zhu, Mengjie Huang, Rui Yang, Wenlong You, Zhige Chen, Zidong Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-09-24T08:25:40Z","title":"EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07196","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d61a0a3ca24e377f0e24d04ef50519cdc5ff5d502a5f8c7c3ec063c884616264","target":"record","created_at":"2026-07-05T09:18:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"606584199a6d867b0c412d0eb51cb3796a4bb4960aa31b45af21e8cff8e2dd42","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-09-24T08:25:40Z","title_canon_sha256":"100ca8afe29bca034d4668ab1286f26926a25c2b7bd5485aa0b6093d87074256"},"schema_version":"1.0","source":{"id":"2410.07196","kind":"arxiv","version":1}},"canonical_sha256":"07cc3a2c3f3653cc4b577a6a1c98db9391c3af4fc06a7edac227afc39e5f2369","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"07cc3a2c3f3653cc4b577a6a1c98db9391c3af4fc06a7edac227afc39e5f2369","first_computed_at":"2026-07-05T09:18:32.402899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:18:32.402899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XjPe9lEw7/wNnV38kM8u4kOpiWdpDEi65WyowsnUCjFHaM+9FW+xuRWI832p/0xfuE8loS3PhQh3TthRwX41DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:18:32.403351Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.07196","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d61a0a3ca24e377f0e24d04ef50519cdc5ff5d502a5f8c7c3ec063c884616264","sha256:60b01b00b5bb12a07b5a36f0f0c86908e0a82c68ceba0721607c4b9d7f3d1d26"],"state_sha256":"e3df6b310d399e78345531f4cbd083c795dd0ebc4b4358304e968dab09864111"}