{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7E72LEFPZQBSWBGARRYCHNTXEW","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":"fae43404f6a6e91f781ba8fba3281a41b545c2ee2e3379f39fb7f75639078d7e","cross_cats_sorted":["cs.AI","cs.ET","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-02T18:58:57Z","title_canon_sha256":"180d71b8a72705a4a447bfcf4bb925a59351d93b5ad4e84a834a463d996519fd"},"schema_version":"1.0","source":{"id":"2506.06353","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06353","created_at":"2026-07-05T11:19:08Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06353v1","created_at":"2026-07-05T11:19:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06353","created_at":"2026-07-05T11:19:08Z"},{"alias_kind":"pith_short_12","alias_value":"7E72LEFPZQBS","created_at":"2026-07-05T11:19:08Z"},{"alias_kind":"pith_short_16","alias_value":"7E72LEFPZQBSWBGA","created_at":"2026-07-05T11:19:08Z"},{"alias_kind":"pith_short_8","alias_value":"7E72LEFP","created_at":"2026-07-05T11:19:08Z"}],"graph_snapshots":[{"event_id":"sha256:5a1631c19fd27b34bb3865efecf2edea18c6689f0fb0895780add1de5580ea23","target":"graph","created_at":"2026-07-05T11:19:08Z","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/2506.06353/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The growing convergence between Large Language Models (LLMs) and electroencephalography (EEG) research is enabling new directions in neural decoding, brain-computer interfaces (BCIs), and affective computing. This survey offers a systematic review and structured taxonomy of recent advancements that utilize LLMs for EEG-based analysis and applications. We organize the literature into four domains: (1) LLM-inspired foundation models for EEG representation learning, (2) EEG-to-language decoding, (3) cross-modal generation including image and 3D object synthesis, and (4) clinical applications and ","authors_text":"A. P. Vinod, Jimson Mathew, Naseem Babu","cross_cats":["cs.AI","cs.ET","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-02T18:58:57Z","title":"Large Language Models for EEG: A Comprehensive Survey and Taxonomy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06353","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":"sha256:437e07f3ecd14235af357a17753246f4d32eb51e4085af4593afb3d384bcf3f5","target":"record","created_at":"2026-07-05T11:19:08Z","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":"fae43404f6a6e91f781ba8fba3281a41b545c2ee2e3379f39fb7f75639078d7e","cross_cats_sorted":["cs.AI","cs.ET","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-06-02T18:58:57Z","title_canon_sha256":"180d71b8a72705a4a447bfcf4bb925a59351d93b5ad4e84a834a463d996519fd"},"schema_version":"1.0","source":{"id":"2506.06353","kind":"arxiv","version":1}},"canonical_sha256":"f93fa590afcc032b04c08c7023b67725ae1a4f6ccc541864559ceeb6db03b2f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f93fa590afcc032b04c08c7023b67725ae1a4f6ccc541864559ceeb6db03b2f7","first_computed_at":"2026-07-05T11:19:08.132586Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:08.132586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s4a1F27uaV7M5bO0uebNGbV8jlmkiXjcGuc9sl5LG/oCtJNeQgCRJ6cTp6p5Vk5vvN3bW6tgPEVjCulnvNGICQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:08.133066Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06353","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:437e07f3ecd14235af357a17753246f4d32eb51e4085af4593afb3d384bcf3f5","sha256:5a1631c19fd27b34bb3865efecf2edea18c6689f0fb0895780add1de5580ea23"],"state_sha256":"cb3e437f432b90cadd8976e82698659eff6c724599adbb6568fbe417733331d8"}