{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:K5LGB6OV64KPYYLBWBTFW6GWBU","short_pith_number":"pith:K5LGB6OV","canonical_record":{"source":{"id":"2005.06902","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-05-14T12:11:41Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"83066942e10fd06743b90d0a869b4cdbcf859e645230577fad26f4d7594d2439","abstract_canon_sha256":"34a2696fbf0edf617d2cc915a18a50115f4b5b71ee6096068c7ccd9b3b248268"},"schema_version":"1.0"},"canonical_sha256":"575660f9d5f714fc6161b0665b78d60d085e558e25ccb57b9f67701fef16e99a","source":{"kind":"arxiv","id":"2005.06902","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.06902","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2005.06902v2","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.06902","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"K5LGB6OV64KP","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"K5LGB6OV64KPYYLB","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"K5LGB6OV","created_at":"2026-07-05T01:05:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:K5LGB6OV64KPYYLBWBTFW6GWBU","target":"record","payload":{"canonical_record":{"source":{"id":"2005.06902","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-05-14T12:11:41Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"83066942e10fd06743b90d0a869b4cdbcf859e645230577fad26f4d7594d2439","abstract_canon_sha256":"34a2696fbf0edf617d2cc915a18a50115f4b5b71ee6096068c7ccd9b3b248268"},"schema_version":"1.0"},"canonical_sha256":"575660f9d5f714fc6161b0665b78d60d085e558e25ccb57b9f67701fef16e99a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:05:27.459542Z","signature_b64":"ddw4wcmpdeWjksZ2m3iW2NjD9ppCQfKLSOQT3daUiq8t5hCXouOqPugBVQSeczhYGMdU2wcHwekIbRq+XrqaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"575660f9d5f714fc6161b0665b78d60d085e558e25ccb57b9f67701fef16e99a","last_reissued_at":"2026-07-05T01:05:27.458917Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:05:27.458917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.06902","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":"2026-07-05T01:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UlAS8VhflkTELA8JRqZ4WsAz3kdiGZO7DxsqpvvyB4+LIRJr3yzjvvhCjONyndc35trH8uZzn3FTw18BoXWNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T03:42:35.091540Z"},"content_sha256":"ce84de2217a844fab4fcfb3e4f2bc4a50e7c980fed4b456b53bad1bd38c29992","schema_version":"1.0","event_id":"sha256:ce84de2217a844fab4fcfb3e4f2bc4a50e7c980fed4b456b53bad1bd38c29992"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:K5LGB6OV64KPYYLBWBTFW6GWBU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.SP","authors_text":"Amin Ullah, Muhammad Bilal, Raja M Mehmood, Syed M. Anwar","submitted_at":"2020-05-14T12:11:41Z","abstract_excerpt":"The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart's rhythmic irregularities, commonly known as arrhythmias. A careful study of ECG signals is crucial for precise diagnoses of patients' acute and chronic heart conditions. In this study, we propose a two-dimensional (2-D) convolutional neural network (CNN) model for the classification of ECG signals into eight classes; namely, normal beat, premature ventricular contraction beat, paced beat, right bundle branch b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.06902","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.06902/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":"2026-07-05T01:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eguo8AQHoDkK5pGSQFc2tfsYLH86Yw+3s2orpykBCwcTqsv59TpxUDysjpFbvShwYH099ojJn9H1uNILMZ/lCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T03:42:35.092058Z"},"content_sha256":"4ac0a3bd368cfcd6f3f5bc8558452fd2830bd4ba24a0dde56424ff865756c82f","schema_version":"1.0","event_id":"sha256:4ac0a3bd368cfcd6f3f5bc8558452fd2830bd4ba24a0dde56424ff865756c82f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K5LGB6OV64KPYYLBWBTFW6GWBU/bundle.json","state_url":"https://pith.science/pith/K5LGB6OV64KPYYLBWBTFW6GWBU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K5LGB6OV64KPYYLBWBTFW6GWBU/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":"2026-08-24T03:42:35Z","links":{"resolver":"https://pith.science/pith/K5LGB6OV64KPYYLBWBTFW6GWBU","bundle":"https://pith.science/pith/K5LGB6OV64KPYYLBWBTFW6GWBU/bundle.json","state":"https://pith.science/pith/K5LGB6OV64KPYYLBWBTFW6GWBU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K5LGB6OV64KPYYLBWBTFW6GWBU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:K5LGB6OV64KPYYLBWBTFW6GWBU","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":"34a2696fbf0edf617d2cc915a18a50115f4b5b71ee6096068c7ccd9b3b248268","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-05-14T12:11:41Z","title_canon_sha256":"83066942e10fd06743b90d0a869b4cdbcf859e645230577fad26f4d7594d2439"},"schema_version":"1.0","source":{"id":"2005.06902","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.06902","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"2005.06902v2","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.06902","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"K5LGB6OV64KP","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"pith_short_16","alias_value":"K5LGB6OV64KPYYLB","created_at":"2026-07-05T01:05:27Z"},{"alias_kind":"pith_short_8","alias_value":"K5LGB6OV","created_at":"2026-07-05T01:05:27Z"}],"graph_snapshots":[{"event_id":"sha256:4ac0a3bd368cfcd6f3f5bc8558452fd2830bd4ba24a0dde56424ff865756c82f","target":"graph","created_at":"2026-07-05T01:05:27Z","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/2005.06902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart's rhythmic irregularities, commonly known as arrhythmias. A careful study of ECG signals is crucial for precise diagnoses of patients' acute and chronic heart conditions. In this study, we propose a two-dimensional (2-D) convolutional neural network (CNN) model for the classification of ECG signals into eight classes; namely, normal beat, premature ventricular contraction beat, paced beat, right bundle branch b","authors_text":"Amin Ullah, Muhammad Bilal, Raja M Mehmood, Syed M. Anwar","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-05-14T12:11:41Z","title":"Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.06902","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:ce84de2217a844fab4fcfb3e4f2bc4a50e7c980fed4b456b53bad1bd38c29992","target":"record","created_at":"2026-07-05T01:05:27Z","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":"34a2696fbf0edf617d2cc915a18a50115f4b5b71ee6096068c7ccd9b3b248268","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-05-14T12:11:41Z","title_canon_sha256":"83066942e10fd06743b90d0a869b4cdbcf859e645230577fad26f4d7594d2439"},"schema_version":"1.0","source":{"id":"2005.06902","kind":"arxiv","version":2}},"canonical_sha256":"575660f9d5f714fc6161b0665b78d60d085e558e25ccb57b9f67701fef16e99a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"575660f9d5f714fc6161b0665b78d60d085e558e25ccb57b9f67701fef16e99a","first_computed_at":"2026-07-05T01:05:27.458917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:05:27.458917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ddw4wcmpdeWjksZ2m3iW2NjD9ppCQfKLSOQT3daUiq8t5hCXouOqPugBVQSeczhYGMdU2wcHwekIbRq+XrqaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:05:27.459542Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.06902","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce84de2217a844fab4fcfb3e4f2bc4a50e7c980fed4b456b53bad1bd38c29992","sha256:4ac0a3bd368cfcd6f3f5bc8558452fd2830bd4ba24a0dde56424ff865756c82f"],"state_sha256":"f2d4648f4938edf895fc1fe2fa1bd3fc8baa5b75076bc297099fd8c7ce20701e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S/5VLOOndI4hymo5vKa5WWmGGfY1pHaah6uZy1Z0pufRLESl08ur0adLd47X81bU6JZd544BGbUWFLxqWThSDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T03:42:35.097205Z","bundle_sha256":"60d82b350819336932a1c3dac42cabe5184a689660a519f75daea49889948184"}}