{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KF24IHCPORRHZDPDOY4LIFHOAR","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":"94798f33752d69d555dee2fa5b51d79cb2e5881e35ed130a6650726106f2891a","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-19T04:29:03Z","title_canon_sha256":"88e5ff182777838c073768cb9234da5acd39faa661357241e6867b6b1a826f84"},"schema_version":"1.0","source":{"id":"2410.14971","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14971","created_at":"2026-07-05T11:48:21Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14971v3","created_at":"2026-07-05T11:48:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14971","created_at":"2026-07-05T11:48:21Z"},{"alias_kind":"pith_short_12","alias_value":"KF24IHCPORRH","created_at":"2026-07-05T11:48:21Z"},{"alias_kind":"pith_short_16","alias_value":"KF24IHCPORRHZDPD","created_at":"2026-07-05T11:48:21Z"},{"alias_kind":"pith_short_8","alias_value":"KF24IHCP","created_at":"2026-07-05T11:48:21Z"}],"graph_snapshots":[{"event_id":"sha256:e6554e363d174c20e2703f8656a3698d7828b228b2fc6c9fe207f5b8c2cba1ec","target":"graph","created_at":"2026-07-05T11:48:21Z","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/2410.14971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current EEG/MEG-to-text decoding systems suffer from three key limitations: (1) reliance on teacher-forcing methods, which compromises robustness during inference, (2) sensitivity to session-specific noise, hindering generalization across subjects, and (3) misalignment between brain signals and linguistic representations due to pre-trained language model over-dominance. To overcome these challenges, we propose BrainECHO (Brain signal decoding via vEctor-quantized speCtrogram reconstruction for WHisper-enhanced text generatiOn), a multi-stage framework that employs decoupled representation lear","authors_text":"Honghai Liu, Jiaqi Wang, Jilong Li, Meishan Zhang, Min Zhang, Zhenxi Song, Zhiguo Zhang","cross_cats":["cs.CL","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-19T04:29:03Z","title":"BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14971","kind":"arxiv","version":3},"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":"sha256:002a33e2781de4560db1b469ef532682cc390169111e374521c2818e4ac1d8ff","target":"record","created_at":"2026-07-05T11:48:21Z","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":"94798f33752d69d555dee2fa5b51d79cb2e5881e35ed130a6650726106f2891a","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-19T04:29:03Z","title_canon_sha256":"88e5ff182777838c073768cb9234da5acd39faa661357241e6867b6b1a826f84"},"schema_version":"1.0","source":{"id":"2410.14971","kind":"arxiv","version":3}},"canonical_sha256":"5175c41c4f74627c8de37638b414ee046dc53e2dec13cf96fba509231128fe95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5175c41c4f74627c8de37638b414ee046dc53e2dec13cf96fba509231128fe95","first_computed_at":"2026-07-05T11:48:21.253425Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:48:21.253425Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kkrbYO1Z1qPFspYaJmJO68POvTfBLOTMueERuZwKBOjvqzJ5/E2J/U/ELuVwsgNH4qEgqVZ6Eqn/ccfbgVp4Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:48:21.253902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14971","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:002a33e2781de4560db1b469ef532682cc390169111e374521c2818e4ac1d8ff","sha256:e6554e363d174c20e2703f8656a3698d7828b228b2fc6c9fe207f5b8c2cba1ec"],"state_sha256":"3d0f3cb4a7e5c2cc6cd8a87ba5ac204cef0fa91501ec29b7e4e11c35948269bd"}