{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:VDKDQTLTO3UP762KR2I7AVPMXG","short_pith_number":"pith:VDKDQTLT","canonical_record":{"source":{"id":"2208.02405","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-04T02:16:33Z","cross_cats_sorted":[],"title_canon_sha256":"3839d10b24c9504705c650007420bb34907b9a22b978c187255978b70474d0a6","abstract_canon_sha256":"39fe4a21d86d0f91518736cccfabd4304a31b05375bfb2b025020e34f5508b3c"},"schema_version":"1.0"},"canonical_sha256":"a8d4384d7376e8fffb4a8e91f055ecb9bc153eab4ebc2242e08f713e16362beb","source":{"kind":"arxiv","id":"2208.02405","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.02405","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"arxiv_version","alias_value":"2208.02405v1","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.02405","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"pith_short_12","alias_value":"VDKDQTLTO3UP","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"pith_short_16","alias_value":"VDKDQTLTO3UP762K","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"pith_short_8","alias_value":"VDKDQTLT","created_at":"2026-07-05T04:46:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:VDKDQTLTO3UP762KR2I7AVPMXG","target":"record","payload":{"canonical_record":{"source":{"id":"2208.02405","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-04T02:16:33Z","cross_cats_sorted":[],"title_canon_sha256":"3839d10b24c9504705c650007420bb34907b9a22b978c187255978b70474d0a6","abstract_canon_sha256":"39fe4a21d86d0f91518736cccfabd4304a31b05375bfb2b025020e34f5508b3c"},"schema_version":"1.0"},"canonical_sha256":"a8d4384d7376e8fffb4a8e91f055ecb9bc153eab4ebc2242e08f713e16362beb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:46:04.155906Z","signature_b64":"QC9ho5Vfo33RDRnmFf1LW/VDXRkmkt9SQLFRpuuHSbLckUIThXM4NKhSbpCBQDu4o1rp4Nspm7Ma6LjAWiE+Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8d4384d7376e8fffb4a8e91f055ecb9bc153eab4ebc2242e08f713e16362beb","last_reissued_at":"2026-07-05T04:46:04.155497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:46:04.155497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.02405","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:46:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZmuVSng+fgMiPxmY/ZEUscQnGaVJlMyyvfBS2ndl9hH2+He5SDY0YlPr7ynlU41Ze+C7Y430nJCXpXJKQNW0Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:49:31.221718Z"},"content_sha256":"aa91b5de128336f3c64048f99272c6db2dc67858eaa987b48043908b6fc2dea2","schema_version":"1.0","event_id":"sha256:aa91b5de128336f3c64048f99272c6db2dc67858eaa987b48043908b6fc2dea2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:VDKDQTLTO3UP762KR2I7AVPMXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Justin Dauwels, Wei Yan Peh, Yuanyuan Yao","submitted_at":"2022-08-04T02:16:33Z","abstract_excerpt":"It is well known that electroencephalograms (EEGs) often contain artifacts due to muscle activity, eye blinks, and various other causes. Detecting such artifacts is an essential first step toward a correct interpretation of EEGs. Although much effort has been devoted to semi-automated and automated artifact detection in EEG, the problem of artifact detection remains challenging. In this paper, we propose a convolutional neural network (CNN) enhanced by transformers using belief matching (BM) loss for automated detection of five types of artifacts: chewing, electrode pop, eye movement, muscle, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.02405","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/2208.02405/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:46:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"utWJzuDIc8nkefdTrD8LFIcaNWM5GlXdWWUDe0Yut8hvVlDYv+DMY7NQx38iNp4LJiRKEGNrqV8ATm5nKY/KDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:49:31.222308Z"},"content_sha256":"799b0d8ae90c95a32b9912fbb1123f9ae31751e492646231103f3a0a359b7bbe","schema_version":"1.0","event_id":"sha256:799b0d8ae90c95a32b9912fbb1123f9ae31751e492646231103f3a0a359b7bbe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VDKDQTLTO3UP762KR2I7AVPMXG/bundle.json","state_url":"https://pith.science/pith/VDKDQTLTO3UP762KR2I7AVPMXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VDKDQTLTO3UP762KR2I7AVPMXG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T13:49:31Z","links":{"resolver":"https://pith.science/pith/VDKDQTLTO3UP762KR2I7AVPMXG","bundle":"https://pith.science/pith/VDKDQTLTO3UP762KR2I7AVPMXG/bundle.json","state":"https://pith.science/pith/VDKDQTLTO3UP762KR2I7AVPMXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VDKDQTLTO3UP762KR2I7AVPMXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VDKDQTLTO3UP762KR2I7AVPMXG","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":"39fe4a21d86d0f91518736cccfabd4304a31b05375bfb2b025020e34f5508b3c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-04T02:16:33Z","title_canon_sha256":"3839d10b24c9504705c650007420bb34907b9a22b978c187255978b70474d0a6"},"schema_version":"1.0","source":{"id":"2208.02405","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.02405","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"arxiv_version","alias_value":"2208.02405v1","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.02405","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"pith_short_12","alias_value":"VDKDQTLTO3UP","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"pith_short_16","alias_value":"VDKDQTLTO3UP762K","created_at":"2026-07-05T04:46:04Z"},{"alias_kind":"pith_short_8","alias_value":"VDKDQTLT","created_at":"2026-07-05T04:46:04Z"}],"graph_snapshots":[{"event_id":"sha256:799b0d8ae90c95a32b9912fbb1123f9ae31751e492646231103f3a0a359b7bbe","target":"graph","created_at":"2026-07-05T04:46:04Z","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/2208.02405/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"It is well known that electroencephalograms (EEGs) often contain artifacts due to muscle activity, eye blinks, and various other causes. Detecting such artifacts is an essential first step toward a correct interpretation of EEGs. Although much effort has been devoted to semi-automated and automated artifact detection in EEG, the problem of artifact detection remains challenging. In this paper, we propose a convolutional neural network (CNN) enhanced by transformers using belief matching (BM) loss for automated detection of five types of artifacts: chewing, electrode pop, eye movement, muscle, ","authors_text":"Justin Dauwels, Wei Yan Peh, Yuanyuan Yao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-04T02:16:33Z","title":"Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.02405","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:aa91b5de128336f3c64048f99272c6db2dc67858eaa987b48043908b6fc2dea2","target":"record","created_at":"2026-07-05T04:46:04Z","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":"39fe4a21d86d0f91518736cccfabd4304a31b05375bfb2b025020e34f5508b3c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-04T02:16:33Z","title_canon_sha256":"3839d10b24c9504705c650007420bb34907b9a22b978c187255978b70474d0a6"},"schema_version":"1.0","source":{"id":"2208.02405","kind":"arxiv","version":1}},"canonical_sha256":"a8d4384d7376e8fffb4a8e91f055ecb9bc153eab4ebc2242e08f713e16362beb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8d4384d7376e8fffb4a8e91f055ecb9bc153eab4ebc2242e08f713e16362beb","first_computed_at":"2026-07-05T04:46:04.155497Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:46:04.155497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QC9ho5Vfo33RDRnmFf1LW/VDXRkmkt9SQLFRpuuHSbLckUIThXM4NKhSbpCBQDu4o1rp4Nspm7Ma6LjAWiE+Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:46:04.155906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.02405","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa91b5de128336f3c64048f99272c6db2dc67858eaa987b48043908b6fc2dea2","sha256:799b0d8ae90c95a32b9912fbb1123f9ae31751e492646231103f3a0a359b7bbe"],"state_sha256":"d3e8106b9f5f648a803995359b2a31ad2c1df156771475bfd4e17270c1dc847c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cjbr+V/Cosm9c1zTx9Lp23LO1uGGS0V0VP88e8ccJ7JPzwM2VOf83frp/S2Z9pZNNTrGWFyLNJAW7ORktZZUCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:49:31.226674Z","bundle_sha256":"1e0483ebf1570a300883697a1bfacb8732410a27c2d27aea3feadc8ce6de1985"}}