{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:P67CLM4O2RYFG4C3CQZ7VKAOAY","short_pith_number":"pith:P67CLM4O","canonical_record":{"source":{"id":"2309.07145","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2023-09-06T19:19:26Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4113a1351c2f082e0f3bc8d021324592d7fe983f7a671ffd3c44951e3f185a52","abstract_canon_sha256":"b61d03ff40bbabf84c5a8a40039f83a1fe2a174d17b17c1d71e3ab2700e0d33f"},"schema_version":"1.0"},"canonical_sha256":"7fbe25b38ed47053705b1433faa80e06134a89b50f188d487dcdd038ecb7ad7f","source":{"kind":"arxiv","id":"2309.07145","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07145","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07145v1","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07145","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"pith_short_12","alias_value":"P67CLM4O2RYF","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"pith_short_16","alias_value":"P67CLM4O2RYFG4C3","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"pith_short_8","alias_value":"P67CLM4O","created_at":"2026-07-05T06:50:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:P67CLM4O2RYFG4C3CQZ7VKAOAY","target":"record","payload":{"canonical_record":{"source":{"id":"2309.07145","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2023-09-06T19:19:26Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4113a1351c2f082e0f3bc8d021324592d7fe983f7a671ffd3c44951e3f185a52","abstract_canon_sha256":"b61d03ff40bbabf84c5a8a40039f83a1fe2a174d17b17c1d71e3ab2700e0d33f"},"schema_version":"1.0"},"canonical_sha256":"7fbe25b38ed47053705b1433faa80e06134a89b50f188d487dcdd038ecb7ad7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:50:31.161248Z","signature_b64":"awPog0rh0UU+m6BpDzmMnNtFSky8eQN+PhJ1VKFqxqkpFVELrOM7melBm0h9npgTR5H1+E74dw/VqQGHloMRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fbe25b38ed47053705b1433faa80e06134a89b50f188d487dcdd038ecb7ad7f","last_reissued_at":"2026-07-05T06:50:31.160865Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:50:31.160865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.07145","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":"2026-07-05T06:50:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xBYQQKnEiL1Ysv8Jmt9SFIo/Pi6NaNwfWJNcNC88S7pN0dRAkMHeisPTkJpoIIqH+zqM3BrMw3QUBb2SXktcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:04:44.614162Z"},"content_sha256":"d5677a8cdcd51f1b9d9cdb9173d40ab050b45242ab608b2c93221eab80a5175c","schema_version":"1.0","event_id":"sha256:d5677a8cdcd51f1b9d9cdb9173d40ab050b45242ab608b2c93221eab80a5175c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:P67CLM4O2RYFG4C3CQZ7VKAOAY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ETP: Learning Transferable ECG Representations via ECG-Text Pre-training","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"eess.SP","authors_text":"Che Liu, Mi Zhang, Rossella Arcucci, Sibo Cheng, Zhongwei Wan","submitted_at":"2023-09-06T19:19:26Z","abstract_excerpt":"In the domain of cardiovascular healthcare, the Electrocardiogram (ECG) serves as a critical, non-invasive diagnostic tool. Although recent strides in self-supervised learning (SSL) have been promising for ECG representation learning, these techniques often require annotated samples and struggle with classes not present in the fine-tuning stages. To address these limitations, we introduce ECG-Text Pre-training (ETP), an innovative framework designed to learn cross-modal representations that link ECG signals with textual reports. For the first time, this framework leverages the zero-shot classi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07145","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/2309.07145/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":"2026-07-05T06:50:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ihesr/dyurQsxA30B3BjZhv+W7fYlEs3TeJWIMySVvX1K/kSHruBqJhqPENwgVg+rAMgYS5H5tcDsPxUUkosBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:04:44.614883Z"},"content_sha256":"2a2cac4caa168f0892cb092a01735a7fc071494115fdfeea796a30900965016c","schema_version":"1.0","event_id":"sha256:2a2cac4caa168f0892cb092a01735a7fc071494115fdfeea796a30900965016c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY/bundle.json","state_url":"https://pith.science/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY/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":"2026-08-11T07:04:44Z","links":{"resolver":"https://pith.science/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY","bundle":"https://pith.science/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY/bundle.json","state":"https://pith.science/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P67CLM4O2RYFG4C3CQZ7VKAOAY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:P67CLM4O2RYFG4C3CQZ7VKAOAY","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":"b61d03ff40bbabf84c5a8a40039f83a1fe2a174d17b17c1d71e3ab2700e0d33f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2023-09-06T19:19:26Z","title_canon_sha256":"4113a1351c2f082e0f3bc8d021324592d7fe983f7a671ffd3c44951e3f185a52"},"schema_version":"1.0","source":{"id":"2309.07145","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.07145","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"arxiv_version","alias_value":"2309.07145v1","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.07145","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"pith_short_12","alias_value":"P67CLM4O2RYF","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"pith_short_16","alias_value":"P67CLM4O2RYFG4C3","created_at":"2026-07-05T06:50:31Z"},{"alias_kind":"pith_short_8","alias_value":"P67CLM4O","created_at":"2026-07-05T06:50:31Z"}],"graph_snapshots":[{"event_id":"sha256:2a2cac4caa168f0892cb092a01735a7fc071494115fdfeea796a30900965016c","target":"graph","created_at":"2026-07-05T06:50:31Z","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/2309.07145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the domain of cardiovascular healthcare, the Electrocardiogram (ECG) serves as a critical, non-invasive diagnostic tool. Although recent strides in self-supervised learning (SSL) have been promising for ECG representation learning, these techniques often require annotated samples and struggle with classes not present in the fine-tuning stages. To address these limitations, we introduce ECG-Text Pre-training (ETP), an innovative framework designed to learn cross-modal representations that link ECG signals with textual reports. For the first time, this framework leverages the zero-shot classi","authors_text":"Che Liu, Mi Zhang, Rossella Arcucci, Sibo Cheng, Zhongwei Wan","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2023-09-06T19:19:26Z","title":"ETP: Learning Transferable ECG Representations via ECG-Text Pre-training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.07145","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:d5677a8cdcd51f1b9d9cdb9173d40ab050b45242ab608b2c93221eab80a5175c","target":"record","created_at":"2026-07-05T06:50:31Z","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":"b61d03ff40bbabf84c5a8a40039f83a1fe2a174d17b17c1d71e3ab2700e0d33f","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2023-09-06T19:19:26Z","title_canon_sha256":"4113a1351c2f082e0f3bc8d021324592d7fe983f7a671ffd3c44951e3f185a52"},"schema_version":"1.0","source":{"id":"2309.07145","kind":"arxiv","version":1}},"canonical_sha256":"7fbe25b38ed47053705b1433faa80e06134a89b50f188d487dcdd038ecb7ad7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7fbe25b38ed47053705b1433faa80e06134a89b50f188d487dcdd038ecb7ad7f","first_computed_at":"2026-07-05T06:50:31.160865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:50:31.160865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"awPog0rh0UU+m6BpDzmMnNtFSky8eQN+PhJ1VKFqxqkpFVELrOM7melBm0h9npgTR5H1+E74dw/VqQGHloMRDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:50:31.161248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.07145","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5677a8cdcd51f1b9d9cdb9173d40ab050b45242ab608b2c93221eab80a5175c","sha256:2a2cac4caa168f0892cb092a01735a7fc071494115fdfeea796a30900965016c"],"state_sha256":"ec123fb392783a069039a6874518f7bb85ff08ea954cd7fcbece33e78b3adf47"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rHQL4qoR7SMC4+O1nAXM8a/Ja42MObvu5QCk6h+UgWmG44fo0hIjIic+4ftA61ENWXIJddPx34EjnfwYpM2mCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T07:04:44.621216Z","bundle_sha256":"b4cf45b4996d1e08ec72e332cba72a8c5bdafa1fba3da714fd21bb8022bd0683"}}