{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4W3PFZTYT4HTFBJSF7X5W2WSAK","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":"0d5911c089e5c3a5ad8905ec53dbdf6c6d55f82b2f2a733d0c3c78d85c2173ab","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-05T05:08:43Z","title_canon_sha256":"390bd1c8efb84205aebee9b390432c6df5f3861b0bf65a91b1378d5e8e25aae3"},"schema_version":"1.0","source":{"id":"2409.03251","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.03251","created_at":"2026-07-05T09:03:28Z"},{"alias_kind":"arxiv_version","alias_value":"2409.03251v1","created_at":"2026-07-05T09:03:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.03251","created_at":"2026-07-05T09:03:28Z"},{"alias_kind":"pith_short_12","alias_value":"4W3PFZTYT4HT","created_at":"2026-07-05T09:03:28Z"},{"alias_kind":"pith_short_16","alias_value":"4W3PFZTYT4HTFBJS","created_at":"2026-07-05T09:03:28Z"},{"alias_kind":"pith_short_8","alias_value":"4W3PFZTY","created_at":"2026-07-05T09:03:28Z"}],"graph_snapshots":[{"event_id":"sha256:e20571625a2738cabf6da25d714d4af3eaf79d64bd35c7b25eed1ba7c7354b2f","target":"graph","created_at":"2026-07-05T09:03:28Z","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/2409.03251/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The decoding of electroencephalography (EEG) signals allows access to user intentions conveniently, which plays an important role in the fields of human-machine interaction. To effectively extract sufficient characteristics of the multichannel EEG, a novel decoding architecture network with a dual-branch temporal-spectral-spatial transformer (Dual-TSST) is proposed in this study. Specifically, by utilizing convolutional neural networks (CNNs) on different branches, the proposed processing network first extracts the temporal-spatial features of the original EEG and the temporal-spectral-spatial","authors_text":"Haodong Zhang, Hongqi Li, Yitong Chen","cross_cats":["cs.LG","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-05T05:08:43Z","title":"Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.03251","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:de992f350bd6326d4e08194a566b699e547192070732aef25195f98a934b1728","target":"record","created_at":"2026-07-05T09:03:28Z","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":"0d5911c089e5c3a5ad8905ec53dbdf6c6d55f82b2f2a733d0c3c78d85c2173ab","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-09-05T05:08:43Z","title_canon_sha256":"390bd1c8efb84205aebee9b390432c6df5f3861b0bf65a91b1378d5e8e25aae3"},"schema_version":"1.0","source":{"id":"2409.03251","kind":"arxiv","version":1}},"canonical_sha256":"e5b6f2e6789f0f3285322fefdb6ad202a4364848be27098d39a98b4f2284f641","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5b6f2e6789f0f3285322fefdb6ad202a4364848be27098d39a98b4f2284f641","first_computed_at":"2026-07-05T09:03:28.549266Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:03:28.549266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tIsUatk2/iTNngaM9zs4YXX4Abtf83XqzfBuJaLgX+Ip167BwMMs7cMNVoJQBenvRNPVlHGkUzyP7mpjcGLNCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:03:28.549712Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.03251","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de992f350bd6326d4e08194a566b699e547192070732aef25195f98a934b1728","sha256:e20571625a2738cabf6da25d714d4af3eaf79d64bd35c7b25eed1ba7c7354b2f"],"state_sha256":"1a2dbec21f84ecc35da10cd5a0a80919e3538a3ace0924c4b787ad085f04ba54"}