{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:IX57F6XXYPUPKS3PB4KCO3ETNE","short_pith_number":"pith:IX57F6XX","canonical_record":{"source":{"id":"1812.04693","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-11T21:11:30Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"f66b647651c78c29bebda1f0d58df0e90984f9884dd4e74e719cc728e8b991bd","abstract_canon_sha256":"f6eb03437804e88d8dad6138dee976573062a9dcf879c6817de21fe51dee684b"},"schema_version":"1.0"},"canonical_sha256":"45fbf2faf7c3e8f54b6f0f14276c93690fbaaa47bbd0631f2df10c6c9e14f4aa","source":{"kind":"arxiv","id":"1812.04693","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04693","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04693v1","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04693","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"IX57F6XXYPUP","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"IX57F6XXYPUPKS3P","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"IX57F6XX","created_at":"2026-07-05T00:04:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:IX57F6XXYPUPKS3PB4KCO3ETNE","target":"record","payload":{"canonical_record":{"source":{"id":"1812.04693","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-11T21:11:30Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"f66b647651c78c29bebda1f0d58df0e90984f9884dd4e74e719cc728e8b991bd","abstract_canon_sha256":"f6eb03437804e88d8dad6138dee976573062a9dcf879c6817de21fe51dee684b"},"schema_version":"1.0"},"canonical_sha256":"45fbf2faf7c3e8f54b6f0f14276c93690fbaaa47bbd0631f2df10c6c9e14f4aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:04:26.685029Z","signature_b64":"wymKt9XOm6/DamaMVr4SWIZZCm5wXQ+lZAqJ0rJHtn7BLff6Pc1TLKSWqxzYK8QpkMGQ9pBcdg0UCMnow5Y0DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"45fbf2faf7c3e8f54b6f0f14276c93690fbaaa47bbd0631f2df10c6c9e14f4aa","last_reissued_at":"2026-07-05T00:04:26.684603Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:04:26.684603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.04693","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":"2026-07-05T00:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q2zlCgmX+kZR5nNAqTdtD0KuvVnZci67YVctRuJpSv4DCtLcumMVxr9DaAKHuioR5I688L14R8eK0Ox5uePVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T22:02:45.007654Z"},"content_sha256":"f47c14093154f35911b7c91b1ef6401facd92558f2832f0230f55398fa753df4","schema_version":"1.0","event_id":"sha256:f47c14093154f35911b7c91b1ef6401facd92558f2832f0230f55398fa753df4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:IX57F6XXYPUPKS3PB4KCO3ETNE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jiann Shiun-Yuan, Milad Salem, Shayan Taheri","submitted_at":"2018-12-11T21:11:30Z","abstract_excerpt":"Due to the recent advances in the area of deep learning, it has been demonstrated that a deep neural network, trained on a huge amount of data, can recognize cardiac arrhythmias better than cardiologists. Moreover, traditionally feature extraction was considered an integral part of ECG pattern recognition; however, recent findings have shown that deep neural networks can carry out the task of feature extraction directly from the data itself. In order to use deep neural networks for their accuracy and feature extraction, high volume of training data is required, which in the case of independent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04693","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/1812.04693/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":"2026-07-05T00:04:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"10ewQdO/IEbOoSTKNOYlM6C+ay1vubHFwIrAzEe7UHkPSQJTHm1R+QEYFW14WL/3is8qioehbJiA0RvXbEueDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T22:02:45.008185Z"},"content_sha256":"804262b0b79734b01f88ccfe1222c848e018b0c0ec88ed8c1be09436ac767a43","schema_version":"1.0","event_id":"sha256:804262b0b79734b01f88ccfe1222c848e018b0c0ec88ed8c1be09436ac767a43"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IX57F6XXYPUPKS3PB4KCO3ETNE/bundle.json","state_url":"https://pith.science/pith/IX57F6XXYPUPKS3PB4KCO3ETNE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IX57F6XXYPUPKS3PB4KCO3ETNE/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":"2026-08-23T22:02:45Z","links":{"resolver":"https://pith.science/pith/IX57F6XXYPUPKS3PB4KCO3ETNE","bundle":"https://pith.science/pith/IX57F6XXYPUPKS3PB4KCO3ETNE/bundle.json","state":"https://pith.science/pith/IX57F6XXYPUPKS3PB4KCO3ETNE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IX57F6XXYPUPKS3PB4KCO3ETNE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IX57F6XXYPUPKS3PB4KCO3ETNE","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":"f6eb03437804e88d8dad6138dee976573062a9dcf879c6817de21fe51dee684b","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-11T21:11:30Z","title_canon_sha256":"f66b647651c78c29bebda1f0d58df0e90984f9884dd4e74e719cc728e8b991bd"},"schema_version":"1.0","source":{"id":"1812.04693","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04693","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04693v1","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04693","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"pith_short_12","alias_value":"IX57F6XXYPUP","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"pith_short_16","alias_value":"IX57F6XXYPUPKS3P","created_at":"2026-07-05T00:04:26Z"},{"alias_kind":"pith_short_8","alias_value":"IX57F6XX","created_at":"2026-07-05T00:04:26Z"}],"graph_snapshots":[{"event_id":"sha256:804262b0b79734b01f88ccfe1222c848e018b0c0ec88ed8c1be09436ac767a43","target":"graph","created_at":"2026-07-05T00:04:26Z","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/1812.04693/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the recent advances in the area of deep learning, it has been demonstrated that a deep neural network, trained on a huge amount of data, can recognize cardiac arrhythmias better than cardiologists. Moreover, traditionally feature extraction was considered an integral part of ECG pattern recognition; however, recent findings have shown that deep neural networks can carry out the task of feature extraction directly from the data itself. In order to use deep neural networks for their accuracy and feature extraction, high volume of training data is required, which in the case of independent","authors_text":"Jiann Shiun-Yuan, Milad Salem, Shayan Taheri","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-11T21:11:30Z","title":"ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04693","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:f47c14093154f35911b7c91b1ef6401facd92558f2832f0230f55398fa753df4","target":"record","created_at":"2026-07-05T00:04:26Z","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":"f6eb03437804e88d8dad6138dee976573062a9dcf879c6817de21fe51dee684b","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-12-11T21:11:30Z","title_canon_sha256":"f66b647651c78c29bebda1f0d58df0e90984f9884dd4e74e719cc728e8b991bd"},"schema_version":"1.0","source":{"id":"1812.04693","kind":"arxiv","version":1}},"canonical_sha256":"45fbf2faf7c3e8f54b6f0f14276c93690fbaaa47bbd0631f2df10c6c9e14f4aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45fbf2faf7c3e8f54b6f0f14276c93690fbaaa47bbd0631f2df10c6c9e14f4aa","first_computed_at":"2026-07-05T00:04:26.684603Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:04:26.684603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wymKt9XOm6/DamaMVr4SWIZZCm5wXQ+lZAqJ0rJHtn7BLff6Pc1TLKSWqxzYK8QpkMGQ9pBcdg0UCMnow5Y0DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:04:26.685029Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.04693","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f47c14093154f35911b7c91b1ef6401facd92558f2832f0230f55398fa753df4","sha256:804262b0b79734b01f88ccfe1222c848e018b0c0ec88ed8c1be09436ac767a43"],"state_sha256":"4811f3b9cfdfe9837210a6e55e12ac8ee71639a6e04b458fd345de1e51df3b65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hA35mIHV783eQ4Rt5ScdsbUDeOMonm3gDKLSX3CO+GaIP4rNAjuVa2rZgtu+UN5pccjgPqouJWKu/wSwxU8JBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T22:02:45.013796Z","bundle_sha256":"93b757af7fa8d936f8f4704bd1d882a8cebd0843aa0a230c86a2610a421f8389"}}