{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:VVE5NJLYYBVE4LTIPRDYWS4ZRJ","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":"b90c4b2ee4b8d32447924781bcd7429b49ecfbc79cb113dbcca062b58c3232f3","cross_cats_sorted":["eess.SP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-07T16:09:40Z","title_canon_sha256":"92051aa168333aa03e4f0c0e7cee07034840b228a673504a0cc5399e2cbf6169"},"schema_version":"1.0","source":{"id":"1807.02684","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.02684","created_at":"2026-05-17T23:51:33Z"},{"alias_kind":"arxiv_version","alias_value":"1807.02684v3","created_at":"2026-05-17T23:51:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.02684","created_at":"2026-05-17T23:51:33Z"},{"alias_kind":"pith_short_12","alias_value":"VVE5NJLYYBVE","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VVE5NJLYYBVE4LTI","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VVE5NJLY","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:598e4301d8338fd8c67c16e0645084736e63c4738db85c688347d24d9e349f77","target":"graph","created_at":"2026-05-17T23:51:33Z","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":"Ventricular Fibrillation (VF), one of the most dangerous arrhythmias, is responsible for sudden cardiac arrests. Thus, various algorithms have been developed to predict VF from Electrocardiogram (ECG), which is a binary classification problem. In the literature, we find a number of algorithms based on signal processing, where, after some robust mathematical operations the decision is given based on a predefined threshold over a single value. On the other hand, some machine learning based algorithms are also reported in the literature; however, these algorithms merely combine some parameters an","authors_text":"M. Saifur Rahman, M. Sohel Rahman, Nabil Ibtehaz","cross_cats":["eess.SP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-07T16:09:40Z","title":"VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.02684","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:f963844cbfb149232288ee005114a8b0454b602779ef2d7b0938c30d43acfad9","target":"record","created_at":"2026-05-17T23:51:33Z","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":"b90c4b2ee4b8d32447924781bcd7429b49ecfbc79cb113dbcca062b58c3232f3","cross_cats_sorted":["eess.SP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-07T16:09:40Z","title_canon_sha256":"92051aa168333aa03e4f0c0e7cee07034840b228a673504a0cc5399e2cbf6169"},"schema_version":"1.0","source":{"id":"1807.02684","kind":"arxiv","version":3}},"canonical_sha256":"ad49d6a578c06a4e2e687c478b4b998a6de5eeb26a93931cf6145f98f89d0709","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad49d6a578c06a4e2e687c478b4b998a6de5eeb26a93931cf6145f98f89d0709","first_computed_at":"2026-05-17T23:51:33.708208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:33.708208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b5njbu0gyZFr9ktj4k1eiQTZnXduKCUsbqjNIeNUdFd7yh/wtTnoWnntF8tD9K1QKLUGMK8c6ysEqR9LiyTfDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:33.708854Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.02684","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f963844cbfb149232288ee005114a8b0454b602779ef2d7b0938c30d43acfad9","sha256:598e4301d8338fd8c67c16e0645084736e63c4738db85c688347d24d9e349f77"],"state_sha256":"75932558255e28f0883c67d6543f3b046e510683a71a8f87dee565a953d35d56"}