{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:4WKWYHXLG6QI3YLRL6R5LO3LCL","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":"65fc7fbe881b46efecf8689f6f13f7110b6da97cff666fde31d78763031204bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-12-24T15:41:23Z","title_canon_sha256":"e78ca409a7e04eccea8f40f7968637d16d443b85a23d5cbfb4f164eb4fb0c1ec"},"schema_version":"1.0","source":{"id":"1612.08194","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.08194","created_at":"2026-05-18T00:40:24Z"},{"alias_kind":"arxiv_version","alias_value":"1612.08194v3","created_at":"2026-05-18T00:40:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.08194","created_at":"2026-05-18T00:40:24Z"},{"alias_kind":"pith_short_12","alias_value":"4WKWYHXLG6QI","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4WKWYHXLG6QI3YLR","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4WKWYHXL","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:5e5eacd7dbf89ccf03dda861c500a9cdec109bcea9716499aa83926558c4e131","target":"graph","created_at":"2026-05-18T00:40:24Z","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"},"paper":{"abstract_excerpt":"We present an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method capitalizes on cross-validation in conjunction with a robust evaluation metric to estimate the optimal peak-to-peak threshold -- a quantity commonly used for identifying bad trials in M/EEG. This approach is then extended to a more sophisticated algorithm which estimates this threshold for each sensor yielding trial-wise bad sensors. Depending on the number of bad sensors, the trial is then repaired by interpolation or by excludin","authors_text":"Alexandre Gramfort, Denis A. Engemann, Federico Raimondo, Mainak Jas, Yousra Bekhti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-12-24T15:41:23Z","title":"Autoreject: Automated artifact rejection for MEG and EEG data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.08194","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":"sha256:0a9bbb448ba0f3c61afd21d11c5daa99e503de43be8cdb8ca656aad5e50ac299","target":"record","created_at":"2026-05-18T00:40:24Z","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":"65fc7fbe881b46efecf8689f6f13f7110b6da97cff666fde31d78763031204bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2016-12-24T15:41:23Z","title_canon_sha256":"e78ca409a7e04eccea8f40f7968637d16d443b85a23d5cbfb4f164eb4fb0c1ec"},"schema_version":"1.0","source":{"id":"1612.08194","kind":"arxiv","version":3}},"canonical_sha256":"e5956c1eeb37a08de1715fa3d5bb6b12f586698b3c173b8dc405bfb80d675c3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5956c1eeb37a08de1715fa3d5bb6b12f586698b3c173b8dc405bfb80d675c3f","first_computed_at":"2026-05-18T00:40:24.052763Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:24.052763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qnHeumXf6DMh8Na1cGi7Bksx1NS3X+eMTOaS2dbhDf9MASnj2Wid4nFak134bgsLE8hmIi5GJND5Nmr2I2agCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:24.053425Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.08194","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0a9bbb448ba0f3c61afd21d11c5daa99e503de43be8cdb8ca656aad5e50ac299","sha256:5e5eacd7dbf89ccf03dda861c500a9cdec109bcea9716499aa83926558c4e131"],"state_sha256":"afc3923e7a01cf8d7b4e07f5efd329e70ce6700b3364126c54adccdae885a05a"}