{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:TTFQVM2O2SAKDME6PUDA2IIC56","short_pith_number":"pith:TTFQVM2O","schema_version":"1.0","canonical_sha256":"9ccb0ab34ed480a1b09e7d060d2102ef94f9376cbb9fe693ef800d6f5729569f","source":{"kind":"arxiv","id":"2502.17465","version":1},"attestation_state":"computed","paper":{"title":"Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"eess.SP","authors_text":"Ahmed Fares, Mahmoud Nady, Mostafa El Gedawy, Nour Alhuda Adel, Omar Mamdouh, Omnia Nabil","submitted_at":"2025-02-11T14:43:14Z","abstract_excerpt":"Brain activity translation into human language delivers the capability to revolutionize machine-human interaction while providing communication support to people with speech disability. Electronic decoding reaches a certain level of achievement yet current EEG-to-text decoding methods fail to reach open vocabularies and depth of meaning and individual brain-specific variables. We introduce a special framework which changes conventional closed-vocabulary EEG-to-text decoding approaches by integrating subject-specific learning models with natural language processing methods to resolve detection "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2502.17465","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2025-02-11T14:43:14Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"511adb3f4786739ac7ee7f30ffe0c283bd901a865596865dfad9162f916eeb4f","abstract_canon_sha256":"49f7098f4fe5a317c1a4c1f8eeab267d16fa3075b6fc5b016ab67ae759dd73d0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:11.180146Z","signature_b64":"n8BPoO4+ww/8AZktz/bsAnX0lxQpHpv9Br4jaYV2sU/x7eCPgRVp2TN+4QZHWWzu7S3dQnajQmJaJJbkReiPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ccb0ab34ed480a1b09e7d060d2102ef94f9376cbb9fe693ef800d6f5729569f","last_reissued_at":"2026-07-05T10:19:11.179693Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:11.179693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"eess.SP","authors_text":"Ahmed Fares, Mahmoud Nady, Mostafa El Gedawy, Nour Alhuda Adel, Omar Mamdouh, Omnia Nabil","submitted_at":"2025-02-11T14:43:14Z","abstract_excerpt":"Brain activity translation into human language delivers the capability to revolutionize machine-human interaction while providing communication support to people with speech disability. Electronic decoding reaches a certain level of achievement yet current EEG-to-text decoding methods fail to reach open vocabularies and depth of meaning and individual brain-specific variables. We introduce a special framework which changes conventional closed-vocabulary EEG-to-text decoding approaches by integrating subject-specific learning models with natural language processing methods to resolve detection "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17465","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.17465/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2502.17465","created_at":"2026-07-05T10:19:11.179750+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.17465v1","created_at":"2026-07-05T10:19:11.179750+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17465","created_at":"2026-07-05T10:19:11.179750+00:00"},{"alias_kind":"pith_short_12","alias_value":"TTFQVM2O2SAK","created_at":"2026-07-05T10:19:11.179750+00:00"},{"alias_kind":"pith_short_16","alias_value":"TTFQVM2O2SAKDME6","created_at":"2026-07-05T10:19:11.179750+00:00"},{"alias_kind":"pith_short_8","alias_value":"TTFQVM2O","created_at":"2026-07-05T10:19:11.179750+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56","json":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56.json","graph_json":"https://pith.science/api/pith-number/TTFQVM2O2SAKDME6PUDA2IIC56/graph.json","events_json":"https://pith.science/api/pith-number/TTFQVM2O2SAKDME6PUDA2IIC56/events.json","paper":"https://pith.science/paper/TTFQVM2O"},"agent_actions":{"view_html":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56","download_json":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56.json","view_paper":"https://pith.science/paper/TTFQVM2O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.17465&json=true","fetch_graph":"https://pith.science/api/pith-number/TTFQVM2O2SAKDME6PUDA2IIC56/graph.json","fetch_events":"https://pith.science/api/pith-number/TTFQVM2O2SAKDME6PUDA2IIC56/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56/action/storage_attestation","attest_author":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56/action/author_attestation","sign_citation":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56/action/citation_signature","submit_replication":"https://pith.science/pith/TTFQVM2O2SAKDME6PUDA2IIC56/action/replication_record"}},"created_at":"2026-07-05T10:19:11.179750+00:00","updated_at":"2026-07-05T10:19:11.179750+00:00"}