{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ABQN5HS3LOQYPEOTS6DHMCSEVL","short_pith_number":"pith:ABQN5HS3","canonical_record":{"source":{"id":"1903.11775","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-28T03:30:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"77625b2f44fdb408a4b036db9b8c4a0b94ae6bf91eb258975b78a1db83d57a16","abstract_canon_sha256":"52072f4a98f0b4782e086d968fcea3c7e0678102e6a270075d3b486ebb611fcd"},"schema_version":"1.0"},"canonical_sha256":"0060de9e5b5ba18791d39786760a44aad10328d911e14433cffd4c5111d6d2db","source":{"kind":"arxiv","id":"1903.11775","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11775","created_at":"2026-05-17T23:50:01Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11775v1","created_at":"2026-05-17T23:50:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11775","created_at":"2026-05-17T23:50:01Z"},{"alias_kind":"pith_short_12","alias_value":"ABQN5HS3LOQY","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"ABQN5HS3LOQYPEOT","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"ABQN5HS3","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ABQN5HS3LOQYPEOTS6DHMCSEVL","target":"record","payload":{"canonical_record":{"source":{"id":"1903.11775","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-28T03:30:25Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"77625b2f44fdb408a4b036db9b8c4a0b94ae6bf91eb258975b78a1db83d57a16","abstract_canon_sha256":"52072f4a98f0b4782e086d968fcea3c7e0678102e6a270075d3b486ebb611fcd"},"schema_version":"1.0"},"canonical_sha256":"0060de9e5b5ba18791d39786760a44aad10328d911e14433cffd4c5111d6d2db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:01.823387Z","signature_b64":"Hauc965KqfCsJszjvtvzqRCpM1fF3sUnT0Weh/gC+A/sE0+VWWpkmbA3ojcnbVubvPb5QyDXl3GM0ZnSsq9IAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0060de9e5b5ba18791d39786760a44aad10328d911e14433cffd4c5111d6d2db","last_reissued_at":"2026-05-17T23:50:01.822976Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:01.822976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.11775","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":"2026-05-17T23:50:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VGs31gTw+6hEk89EXZ6EjNdrSpTLW1twdVA/ONryJaKyKhXSeoPh1ep6zK3gHEqcJrvGxoceHvL4nZ/UVhskDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T20:18:14.852680Z"},"content_sha256":"9091193bc0b07be5c141d71e3610a90e40c90381bdcde9c35dd884c5da78fc80","schema_version":"1.0","event_id":"sha256:9091193bc0b07be5c141d71e3610a90e40c90381bdcde9c35dd884c5da78fc80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ABQN5HS3LOQYPEOTS6DHMCSEVL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Atrial Fibrillation Detection Using Deep Features and Convolutional Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"H.R. Tizhoosh, Sara Ross-Howe","submitted_at":"2019-03-28T03:30:25Z","abstract_excerpt":"Atrial fibrillation is a cardiac arrhythmia that affects an estimated 33.5 million people globally and is the potential cause of 1 in 3 strokes in people over the age of 60. Detection and diagnosis of atrial fibrillation (AFIB) is done noninvasively in the clinical environment through the evaluation of electrocardiograms (ECGs). Early research into automated methods for the detection of AFIB in ECG signals focused on traditional bio-medical signal analysis to extract important features for use in statistical classification models. Artificial intelligence models have more recently been used tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11775","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":""},"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":"2026-05-17T23:50:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EYy1s1Hk4YZbCYAwfAN8rcLQw9sku5jQkhmkvOjTj/h+K+ehsB9PY4gW4MiNPkhNBHtzWhz13AEOpmHoW/uoAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T20:18:14.853034Z"},"content_sha256":"80dc4701f3070531d2ae7ede65eeccabd7f10e7161d5d20daf690c0a84e46782","schema_version":"1.0","event_id":"sha256:80dc4701f3070531d2ae7ede65eeccabd7f10e7161d5d20daf690c0a84e46782"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL/bundle.json","state_url":"https://pith.science/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL/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":"2026-05-26T20:18:14Z","links":{"resolver":"https://pith.science/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL","bundle":"https://pith.science/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL/bundle.json","state":"https://pith.science/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ABQN5HS3LOQYPEOTS6DHMCSEVL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ABQN5HS3LOQYPEOTS6DHMCSEVL","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":"52072f4a98f0b4782e086d968fcea3c7e0678102e6a270075d3b486ebb611fcd","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-28T03:30:25Z","title_canon_sha256":"77625b2f44fdb408a4b036db9b8c4a0b94ae6bf91eb258975b78a1db83d57a16"},"schema_version":"1.0","source":{"id":"1903.11775","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.11775","created_at":"2026-05-17T23:50:01Z"},{"alias_kind":"arxiv_version","alias_value":"1903.11775v1","created_at":"2026-05-17T23:50:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.11775","created_at":"2026-05-17T23:50:01Z"},{"alias_kind":"pith_short_12","alias_value":"ABQN5HS3LOQY","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"ABQN5HS3LOQYPEOT","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"ABQN5HS3","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:80dc4701f3070531d2ae7ede65eeccabd7f10e7161d5d20daf690c0a84e46782","target":"graph","created_at":"2026-05-17T23:50:01Z","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":"Atrial fibrillation is a cardiac arrhythmia that affects an estimated 33.5 million people globally and is the potential cause of 1 in 3 strokes in people over the age of 60. Detection and diagnosis of atrial fibrillation (AFIB) is done noninvasively in the clinical environment through the evaluation of electrocardiograms (ECGs). Early research into automated methods for the detection of AFIB in ECG signals focused on traditional bio-medical signal analysis to extract important features for use in statistical classification models. Artificial intelligence models have more recently been used tha","authors_text":"H.R. Tizhoosh, Sara Ross-Howe","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-28T03:30:25Z","title":"Atrial Fibrillation Detection Using Deep Features and Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.11775","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":"sha256:9091193bc0b07be5c141d71e3610a90e40c90381bdcde9c35dd884c5da78fc80","target":"record","created_at":"2026-05-17T23:50:01Z","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":"52072f4a98f0b4782e086d968fcea3c7e0678102e6a270075d3b486ebb611fcd","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-03-28T03:30:25Z","title_canon_sha256":"77625b2f44fdb408a4b036db9b8c4a0b94ae6bf91eb258975b78a1db83d57a16"},"schema_version":"1.0","source":{"id":"1903.11775","kind":"arxiv","version":1}},"canonical_sha256":"0060de9e5b5ba18791d39786760a44aad10328d911e14433cffd4c5111d6d2db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0060de9e5b5ba18791d39786760a44aad10328d911e14433cffd4c5111d6d2db","first_computed_at":"2026-05-17T23:50:01.822976Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:01.822976Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Hauc965KqfCsJszjvtvzqRCpM1fF3sUnT0Weh/gC+A/sE0+VWWpkmbA3ojcnbVubvPb5QyDXl3GM0ZnSsq9IAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:01.823387Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.11775","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9091193bc0b07be5c141d71e3610a90e40c90381bdcde9c35dd884c5da78fc80","sha256:80dc4701f3070531d2ae7ede65eeccabd7f10e7161d5d20daf690c0a84e46782"],"state_sha256":"853220c6805b998306e2ae8bd62435d5224648432493904dc87b2e46c6fac3d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tKRH/Rpd3FMXNYT/LMd4epoMw74kqkTPIyk5vuM6IpQ9Y2GSAjntex3nbQQBSBOicNVRG2l0pEc4GQyjlysoBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T20:18:14.855113Z","bundle_sha256":"c3efca6cd089271dd5bd2961f684bc55d92d17c6e8962d5f8509df1b219406ca"}}