{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:V2IGMWLJ6SQDRSBJEGFP7A5YHN","short_pith_number":"pith:V2IGMWLJ","canonical_record":{"source":{"id":"1805.00794","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-04-19T23:59:39Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d10786b75ecaf80388afc1edbb82e73c4a6d8df717c1626eb712a7da8eed38f6","abstract_canon_sha256":"90ad9d8f911cc5e1287cd4429eb7da70a0da09db32e2811938bc04f5b039e527"},"schema_version":"1.0"},"canonical_sha256":"ae90665969f4a038c829218aff83b83b44cc27764b560a5dedaacb0f5812140c","source":{"kind":"arxiv","id":"1805.00794","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.00794","created_at":"2026-05-18T00:01:38Z"},{"alias_kind":"arxiv_version","alias_value":"1805.00794v2","created_at":"2026-05-18T00:01:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00794","created_at":"2026-05-18T00:01:38Z"},{"alias_kind":"pith_short_12","alias_value":"V2IGMWLJ6SQD","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"V2IGMWLJ6SQDRSBJ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"V2IGMWLJ","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:V2IGMWLJ6SQDRSBJEGFP7A5YHN","target":"record","payload":{"canonical_record":{"source":{"id":"1805.00794","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-04-19T23:59:39Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d10786b75ecaf80388afc1edbb82e73c4a6d8df717c1626eb712a7da8eed38f6","abstract_canon_sha256":"90ad9d8f911cc5e1287cd4429eb7da70a0da09db32e2811938bc04f5b039e527"},"schema_version":"1.0"},"canonical_sha256":"ae90665969f4a038c829218aff83b83b44cc27764b560a5dedaacb0f5812140c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:38.451425Z","signature_b64":"VVvlwoUd8dvnVi3Y/hGEqn8qRQ5lYlNSF5CknMO4kZvAGNamPbEQSp+LqsghUVmc7W73p2rlGRNNM0ov1F7yBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae90665969f4a038c829218aff83b83b44cc27764b560a5dedaacb0f5812140c","last_reissued_at":"2026-05-18T00:01:38.450903Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:38.450903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.00794","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:01:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DiIU4AryO7EtgpMGr+OoWhaXFBELxpP9MUp/ibXPa2BG7d0n6woF5NNlzYQosgUnQbJFNJOznHYrZ/+KFmRcDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T17:42:54.376853Z"},"content_sha256":"23501e8eef2c7c525c7c1bf9e328de10ce0f244717c9cdc7da6620df4677acd8","schema_version":"1.0","event_id":"sha256:23501e8eef2c7c525c7c1bf9e328de10ce0f244717c9cdc7da6620df4677acd8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:V2IGMWLJ6SQDRSBJEGFP7A5YHN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ECG Heartbeat Classification: A Deep Transferable Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CY","authors_text":"Majid Sarrafzadeh, Mohammad Kachuee, Shayan Fazeli","submitted_at":"2018-04-19T23:59:39Z","abstract_excerpt":"Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of the cardiovascular system. Recently, there has been a great attention towards accurate categorization of heartbeats. While there are many commonalities between different ECG conditions, the focus of most studies has been classifying a set of conditions on a dataset annotated for that task rather than learning and employing a transferable knowledge between different tasks. In this paper, we propose a method based on deep convolutional neural networks for the classification of heartbeats which is able to ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00794","kind":"arxiv","version":2},"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":"2026-05-18T00:01:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IGDD0fIeDaY8PAI87+/kOkP60aFXQ5bkQog+UIJa49Doht9Xu6L1eHMOuh3LQnNP48hC3n9H3B8m9ahDbAQ5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T17:42:54.377557Z"},"content_sha256":"8823f23b41aee1517b677ecc32807c3b271c772d5978e8abaad860bf9b9c6ab5","schema_version":"1.0","event_id":"sha256:8823f23b41aee1517b677ecc32807c3b271c772d5978e8abaad860bf9b9c6ab5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN/bundle.json","state_url":"https://pith.science/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN/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":"2026-05-29T17:42:54Z","links":{"resolver":"https://pith.science/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN","bundle":"https://pith.science/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN/bundle.json","state":"https://pith.science/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V2IGMWLJ6SQDRSBJEGFP7A5YHN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:V2IGMWLJ6SQDRSBJEGFP7A5YHN","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":"90ad9d8f911cc5e1287cd4429eb7da70a0da09db32e2811938bc04f5b039e527","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-04-19T23:59:39Z","title_canon_sha256":"d10786b75ecaf80388afc1edbb82e73c4a6d8df717c1626eb712a7da8eed38f6"},"schema_version":"1.0","source":{"id":"1805.00794","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.00794","created_at":"2026-05-18T00:01:38Z"},{"alias_kind":"arxiv_version","alias_value":"1805.00794v2","created_at":"2026-05-18T00:01:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00794","created_at":"2026-05-18T00:01:38Z"},{"alias_kind":"pith_short_12","alias_value":"V2IGMWLJ6SQD","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"V2IGMWLJ6SQDRSBJ","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"V2IGMWLJ","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:8823f23b41aee1517b677ecc32807c3b271c772d5978e8abaad860bf9b9c6ab5","target":"graph","created_at":"2026-05-18T00:01:38Z","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":"Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of the cardiovascular system. Recently, there has been a great attention towards accurate categorization of heartbeats. While there are many commonalities between different ECG conditions, the focus of most studies has been classifying a set of conditions on a dataset annotated for that task rather than learning and employing a transferable knowledge between different tasks. In this paper, we propose a method based on deep convolutional neural networks for the classification of heartbeats which is able to ac","authors_text":"Majid Sarrafzadeh, Mohammad Kachuee, Shayan Fazeli","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-04-19T23:59:39Z","title":"ECG Heartbeat Classification: A Deep Transferable Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00794","kind":"arxiv","version":2},"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":"sha256:23501e8eef2c7c525c7c1bf9e328de10ce0f244717c9cdc7da6620df4677acd8","target":"record","created_at":"2026-05-18T00:01:38Z","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":"90ad9d8f911cc5e1287cd4429eb7da70a0da09db32e2811938bc04f5b039e527","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2018-04-19T23:59:39Z","title_canon_sha256":"d10786b75ecaf80388afc1edbb82e73c4a6d8df717c1626eb712a7da8eed38f6"},"schema_version":"1.0","source":{"id":"1805.00794","kind":"arxiv","version":2}},"canonical_sha256":"ae90665969f4a038c829218aff83b83b44cc27764b560a5dedaacb0f5812140c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae90665969f4a038c829218aff83b83b44cc27764b560a5dedaacb0f5812140c","first_computed_at":"2026-05-18T00:01:38.450903Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:38.450903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VVvlwoUd8dvnVi3Y/hGEqn8qRQ5lYlNSF5CknMO4kZvAGNamPbEQSp+LqsghUVmc7W73p2rlGRNNM0ov1F7yBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:38.451425Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.00794","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23501e8eef2c7c525c7c1bf9e328de10ce0f244717c9cdc7da6620df4677acd8","sha256:8823f23b41aee1517b677ecc32807c3b271c772d5978e8abaad860bf9b9c6ab5"],"state_sha256":"07345de20cef6bfafd19eda907426d37c36c4381485391fe69f10030c2ea25a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xzDqHRUWXlrTu9VdJ8fIUVvZRLQu23lfur9MxGSwiSSZmmeuTjiRYVwbZ3Uz4RkWlzAwM516+XKWa+9qbCprCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T17:42:54.381247Z","bundle_sha256":"3bdb557bb61d5b15bf067775ac016c5c71718f244ee8dfb6460daaa1a1fad549"}}