{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WNBUFXAM4MVBXDVXA5GE32CECR","short_pith_number":"pith:WNBUFXAM","canonical_record":{"source":{"id":"2601.00014","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-12-20T21:36:47Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"aac044fed5d853f9fcb4160e86980d25e7f6397d8753f5b5755d497c2f048648","abstract_canon_sha256":"18ba354f13d1d3464545259e388d1aa27c4900531da21d6a1b6be2cf640a3e30"},"schema_version":"1.0"},"canonical_sha256":"b34342dc0ce32a1b8eb7074c4de8441474747b6ce53c050b312335f28ac254a5","source":{"kind":"arxiv","id":"2601.00014","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.00014","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2601.00014v2","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.00014","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"WNBUFXAM4MVB","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"WNBUFXAM4MVBXDVX","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"WNBUFXAM","created_at":"2026-06-19T16:12:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WNBUFXAM4MVBXDVXA5GE32CECR","target":"record","payload":{"canonical_record":{"source":{"id":"2601.00014","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-12-20T21:36:47Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"aac044fed5d853f9fcb4160e86980d25e7f6397d8753f5b5755d497c2f048648","abstract_canon_sha256":"18ba354f13d1d3464545259e388d1aa27c4900531da21d6a1b6be2cf640a3e30"},"schema_version":"1.0"},"canonical_sha256":"b34342dc0ce32a1b8eb7074c4de8441474747b6ce53c050b312335f28ac254a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:17.300477Z","signature_b64":"HEHxMrsZ0HGmh0tJ0Wg093Rfk0E9TKTWsu6aW3vRQvX5JMnrhYlwSBvIb58Wn87fnC206wD8XMT39BQyNMREDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b34342dc0ce32a1b8eb7074c4de8441474747b6ce53c050b312335f28ac254a5","last_reissued_at":"2026-06-19T16:12:17.299988Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:17.299988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.00014","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":"2026-06-19T16:12:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LsPvoca/Yvgyr2PO/+kFz+YG/S5xpAvU/ixIugO3xi5RdD29SmTHorH/JhKbSyrerB/eo3OQdUI/4lBcDzVPBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T00:23:56.828596Z"},"content_sha256":"c1077295cdc90a9e80c2c0192fdd579738c8c65d7af277c67e6722e3aa330e9b","schema_version":"1.0","event_id":"sha256:c1077295cdc90a9e80c2c0192fdd579738c8c65d7af277c67e6722e3aa330e9b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WNBUFXAM4MVBXDVXA5GE32CECR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"eess.SP","authors_text":"Eran Zvuloni, Ilan Green, Izhar Laufer, Joachim A. Behar, Michael Glikson, Offer Amir, Ronit Almog, Shany Brimer Biton","submitted_at":"2025-12-20T21:36:47Z","abstract_excerpt":"Heart failure (HF) affects 11.8% of adults aged 65 and older, reducing quality of life and longevity. Preventing HF can reduce morbidity and mortality. We hypothesized that artificial intelligence (AI) applied to 24-hour single-lead electrocardiogram (ECG) data could predict the risk of HF within five years. To research this, the Technion-Leumit Holter ECG (TLHE) dataset, including 69,663 recordings from 47,729 patients, collected over 20 years was used. Our deep learning model, DeepHHF, trained on 24-hour ECG recordings, achieved an area under the receiver operating characteristic curve of 0."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.00014","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/2601.00014/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":"2026-06-19T16:12:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eMRPVjqAHBufWACLBHGtvuPg9jxjamdBh5wFBVjYuq/4lpdPhIW88aE6StH/SwP6eSTStnuRe8kVQCegFkVeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T00:23:56.828971Z"},"content_sha256":"fc08c73365595dd29cf3b5c61729a2d9cf7db7ec21c6a078d08ba06109847dc3","schema_version":"1.0","event_id":"sha256:fc08c73365595dd29cf3b5c61729a2d9cf7db7ec21c6a078d08ba06109847dc3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WNBUFXAM4MVBXDVXA5GE32CECR/bundle.json","state_url":"https://pith.science/pith/WNBUFXAM4MVBXDVXA5GE32CECR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WNBUFXAM4MVBXDVXA5GE32CECR/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":"2026-07-12T00:23:56Z","links":{"resolver":"https://pith.science/pith/WNBUFXAM4MVBXDVXA5GE32CECR","bundle":"https://pith.science/pith/WNBUFXAM4MVBXDVXA5GE32CECR/bundle.json","state":"https://pith.science/pith/WNBUFXAM4MVBXDVXA5GE32CECR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WNBUFXAM4MVBXDVXA5GE32CECR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WNBUFXAM4MVBXDVXA5GE32CECR","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":"18ba354f13d1d3464545259e388d1aa27c4900531da21d6a1b6be2cf640a3e30","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-12-20T21:36:47Z","title_canon_sha256":"aac044fed5d853f9fcb4160e86980d25e7f6397d8753f5b5755d497c2f048648"},"schema_version":"1.0","source":{"id":"2601.00014","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.00014","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2601.00014v2","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.00014","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"WNBUFXAM4MVB","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"WNBUFXAM4MVBXDVX","created_at":"2026-06-19T16:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"WNBUFXAM","created_at":"2026-06-19T16:12:17Z"}],"graph_snapshots":[{"event_id":"sha256:fc08c73365595dd29cf3b5c61729a2d9cf7db7ec21c6a078d08ba06109847dc3","target":"graph","created_at":"2026-06-19T16:12:17Z","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/2601.00014/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Heart failure (HF) affects 11.8% of adults aged 65 and older, reducing quality of life and longevity. Preventing HF can reduce morbidity and mortality. We hypothesized that artificial intelligence (AI) applied to 24-hour single-lead electrocardiogram (ECG) data could predict the risk of HF within five years. To research this, the Technion-Leumit Holter ECG (TLHE) dataset, including 69,663 recordings from 47,729 patients, collected over 20 years was used. Our deep learning model, DeepHHF, trained on 24-hour ECG recordings, achieved an area under the receiver operating characteristic curve of 0.","authors_text":"Eran Zvuloni, Ilan Green, Izhar Laufer, Joachim A. Behar, Michael Glikson, Offer Amir, Ronit Almog, Shany Brimer Biton","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-12-20T21:36:47Z","title":"Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.00014","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:c1077295cdc90a9e80c2c0192fdd579738c8c65d7af277c67e6722e3aa330e9b","target":"record","created_at":"2026-06-19T16:12:17Z","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":"18ba354f13d1d3464545259e388d1aa27c4900531da21d6a1b6be2cf640a3e30","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2025-12-20T21:36:47Z","title_canon_sha256":"aac044fed5d853f9fcb4160e86980d25e7f6397d8753f5b5755d497c2f048648"},"schema_version":"1.0","source":{"id":"2601.00014","kind":"arxiv","version":2}},"canonical_sha256":"b34342dc0ce32a1b8eb7074c4de8441474747b6ce53c050b312335f28ac254a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b34342dc0ce32a1b8eb7074c4de8441474747b6ce53c050b312335f28ac254a5","first_computed_at":"2026-06-19T16:12:17.299988Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:17.299988Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HEHxMrsZ0HGmh0tJ0Wg093Rfk0E9TKTWsu6aW3vRQvX5JMnrhYlwSBvIb58Wn87fnC206wD8XMT39BQyNMREDA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:17.300477Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.00014","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1077295cdc90a9e80c2c0192fdd579738c8c65d7af277c67e6722e3aa330e9b","sha256:fc08c73365595dd29cf3b5c61729a2d9cf7db7ec21c6a078d08ba06109847dc3"],"state_sha256":"909ca3acc2aa440c700f7873f615072e1c75c4b0b8f44470c547786da5b29c62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6D5kWFgARWXZG4Z/aq4hqru3GMV7iy37BHHnqz8gzxTnaGL3hpISetmWZ7wLKe88iXoj1Ii0uhqF+3ttG1glAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T00:23:56.831669Z","bundle_sha256":"56ef5fdd1243ae6ee0b230b0b3a0d6efa1522748e5a3da0bd03ebef66d0ffb13"}}