{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EM2FQ3RQM6UDW344HZVA4QWJNL","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":"9d4f595a1e185a0a6bc5801b4610f9b931e44bae545eb4f3c0de0f6128de3d0e","cross_cats_sorted":["cs.CL","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-09-21T13:24:01Z","title_canon_sha256":"b0b42e6096d36ddb65da5e0d769e666cde56a516f0eee375b23a1f716f0277b5"},"schema_version":"1.0","source":{"id":"2309.12056","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.12056","created_at":"2026-07-05T07:22:23Z"},{"alias_kind":"arxiv_version","alias_value":"2309.12056v2","created_at":"2026-07-05T07:22:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.12056","created_at":"2026-07-05T07:22:23Z"},{"alias_kind":"pith_short_12","alias_value":"EM2FQ3RQM6UD","created_at":"2026-07-05T07:22:23Z"},{"alias_kind":"pith_short_16","alias_value":"EM2FQ3RQM6UDW344","created_at":"2026-07-05T07:22:23Z"},{"alias_kind":"pith_short_8","alias_value":"EM2FQ3RQ","created_at":"2026-07-05T07:22:23Z"}],"graph_snapshots":[{"event_id":"sha256:aae9361ec3fe40d10821e3427cddd2e0c256ceda635ac7ec10770ae51fde2edb","target":"graph","created_at":"2026-07-05T07:22:23Z","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/2309.12056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents BELT, a novel model and learning framework for the pivotal topic of brain-to-language translation research. The translation from noninvasive brain signals into readable natural language has the potential to promote the application scenario as well as the development of brain-computer interfaces (BCI) as a whole. The critical problem in brain signal decoding or brain-to-language translation is the acquisition of semantically appropriate and discriminative EEG representation from a dataset of limited scale and quality. The proposed BELT method is a generic and efficient frame","authors_text":"Chin-Teng Lin, Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang, Yu-Kai Wang","cross_cats":["cs.CL","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-09-21T13:24:01Z","title":"BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.12056","kind":"arxiv","version":2},"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":"sha256:2eaf8b6e6d134d6c14fd2a358a6c007619f0bdaf03b2df3104999ff8e811a701","target":"record","created_at":"2026-07-05T07:22:23Z","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":"9d4f595a1e185a0a6bc5801b4610f9b931e44bae545eb4f3c0de0f6128de3d0e","cross_cats_sorted":["cs.CL","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-09-21T13:24:01Z","title_canon_sha256":"b0b42e6096d36ddb65da5e0d769e666cde56a516f0eee375b23a1f716f0277b5"},"schema_version":"1.0","source":{"id":"2309.12056","kind":"arxiv","version":2}},"canonical_sha256":"2334586e3067a83b6f9c3e6a0e42c96ad92106bbd2f676cbc15f683e481f7046","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2334586e3067a83b6f9c3e6a0e42c96ad92106bbd2f676cbc15f683e481f7046","first_computed_at":"2026-07-05T07:22:23.433933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:23.433933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iz1C2p6mJrAaYhEQZ/Vy0euJQotPlti3yyGh8xshb59tf8XwsL74aWjMe7NQ9dS8LcnXdTnXWxQRU5IYNPgSBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:23.434419Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.12056","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2eaf8b6e6d134d6c14fd2a358a6c007619f0bdaf03b2df3104999ff8e811a701","sha256:aae9361ec3fe40d10821e3427cddd2e0c256ceda635ac7ec10770ae51fde2edb"],"state_sha256":"e882064d3b4c41fe543cb17bff1420a4fd3b4fcc0d263061cd65ede69384bd60"}