{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S63VMP73RLD6XIO245LVCMWGRV","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":"d3f8182d3950e0ea100e88809b76303e6d47510bf19112a12dacefa8d6205699","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-02T17:59:41Z","title_canon_sha256":"a525b65f67d13a903b509bc856b5ae6e4fd934217d1fc1f84ce9693e241bd95e"},"schema_version":"1.0","source":{"id":"2506.02098","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02098","created_at":"2026-07-05T11:14:32Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02098v1","created_at":"2026-07-05T11:14:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02098","created_at":"2026-07-05T11:14:32Z"},{"alias_kind":"pith_short_12","alias_value":"S63VMP73RLD6","created_at":"2026-07-05T11:14:32Z"},{"alias_kind":"pith_short_16","alias_value":"S63VMP73RLD6XIO2","created_at":"2026-07-05T11:14:32Z"},{"alias_kind":"pith_short_8","alias_value":"S63VMP73","created_at":"2026-07-05T11:14:32Z"}],"graph_snapshots":[{"event_id":"sha256:6ab8a04ef05836780a0f1ccedddf474cd0dbd4b7aadebcb92bed4e0efb651ee7","target":"graph","created_at":"2026-07-05T11:14:32Z","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/2506.02098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"LibriBrain represents the largest single-subject MEG dataset to date for speech decoding, with over 50 hours of recordings -- 5$\\times$ larger than the next comparable dataset and 50$\\times$ larger than most. This unprecedented `depth' of within-subject data enables exploration of neural representations at a scale previously unavailable with non-invasive methods. LibriBrain comprises high-quality MEG recordings together with detailed annotations from a single participant listening to naturalistic spoken English, covering nearly the full Sherlock Holmes canon. Designed to support advances in ne","authors_text":"Dulhan Jayalath, Francesco Mantegna, Gereon Elvers, Gilad Landau, Mark Woolrich, Miran \\\"Ozdogan, Oiwi Parker Jones, Pratik Somaiya","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-02T17:59:41Z","title":"LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02098","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":"sha256:55bdaeb79ccde3f8f15d1b6b50f0fb0820c1748838f0ed5f9cf88c15e9fa5306","target":"record","created_at":"2026-07-05T11:14:32Z","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":"d3f8182d3950e0ea100e88809b76303e6d47510bf19112a12dacefa8d6205699","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-02T17:59:41Z","title_canon_sha256":"a525b65f67d13a903b509bc856b5ae6e4fd934217d1fc1f84ce9693e241bd95e"},"schema_version":"1.0","source":{"id":"2506.02098","kind":"arxiv","version":1}},"canonical_sha256":"97b7563ffb8ac7eba1dae7575132c68d72d78ca5010ed1faf7b9d1fdfe36aa20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97b7563ffb8ac7eba1dae7575132c68d72d78ca5010ed1faf7b9d1fdfe36aa20","first_computed_at":"2026-07-05T11:14:32.385664Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:32.385664Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IJhr6UyoTbSc2quSAED0Z1FByjbu07iiOIlvXXVgAvlF6Y7zLLYbziC6LOXvXDQ/0hat5ZOtnfp96XvcCLzZBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:32.386087Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02098","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55bdaeb79ccde3f8f15d1b6b50f0fb0820c1748838f0ed5f9cf88c15e9fa5306","sha256:6ab8a04ef05836780a0f1ccedddf474cd0dbd4b7aadebcb92bed4e0efb651ee7"],"state_sha256":"de513dedfc71ec9d3f8ffc10176e23d6b940bf6821227c1c1faf3619855c5166"}