{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DTW5WTWMWXZJOUZZVKZDUUYQDS","short_pith_number":"pith:DTW5WTWM","canonical_record":{"source":{"id":"2303.12311","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-22T05:01:14Z","cross_cats_sorted":["cs.AI","q-bio.QM"],"title_canon_sha256":"b9c312237b2c39f8258ea051a3f6e7494a1188064a76eab72faa2f4725f1ab06","abstract_canon_sha256":"04acdd898504e77fe24165b954757505e3390aa0333ab24cb701f7ceca768de2"},"schema_version":"1.0"},"canonical_sha256":"1ceddb4eccb5f2975339aab23a53101cbf88a12e7e4f2ffacc6899d0ee2ac5c7","source":{"kind":"arxiv","id":"2303.12311","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.12311","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"arxiv_version","alias_value":"2303.12311v1","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.12311","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"pith_short_12","alias_value":"DTW5WTWMWXZJ","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"pith_short_16","alias_value":"DTW5WTWMWXZJOUZZ","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"pith_short_8","alias_value":"DTW5WTWM","created_at":"2026-07-05T05:53:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DTW5WTWMWXZJOUZZVKZDUUYQDS","target":"record","payload":{"canonical_record":{"source":{"id":"2303.12311","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-22T05:01:14Z","cross_cats_sorted":["cs.AI","q-bio.QM"],"title_canon_sha256":"b9c312237b2c39f8258ea051a3f6e7494a1188064a76eab72faa2f4725f1ab06","abstract_canon_sha256":"04acdd898504e77fe24165b954757505e3390aa0333ab24cb701f7ceca768de2"},"schema_version":"1.0"},"canonical_sha256":"1ceddb4eccb5f2975339aab23a53101cbf88a12e7e4f2ffacc6899d0ee2ac5c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:53:39.744163Z","signature_b64":"gy4MjUolS1pLaTGfA+1LK/d02pBKwg8ASElI/JAtrOYoFc2u9tIbpCzHBonrGgcMpMaL8aCu2C/SOf+C0JfxDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ceddb4eccb5f2975339aab23a53101cbf88a12e7e4f2ffacc6899d0ee2ac5c7","last_reissued_at":"2026-07-05T05:53:39.743687Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:53:39.743687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.12311","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":"2026-07-05T05:53:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eWb/zj8VLhr+PHQwXTuh7HX28KAsftKrb4YID0xsVq8E4cVVVgUqnADqwTwUhwdWLx0Zu1HC4qdMdZaIncVUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T03:44:20.088187Z"},"content_sha256":"ff709ef1e21e34433f9ac85f944dd2d2d6716412d9b4e93e83cc812b0bbdc821","schema_version":"1.0","event_id":"sha256:ff709ef1e21e34433f9ac85f944dd2d2d6716412d9b4e93e83cc812b0bbdc821"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DTW5WTWMWXZJOUZZVKZDUUYQDS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Frozen Language Model Helps ECG Zero-Shot Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","q-bio.QM"],"primary_cat":"cs.LG","authors_text":"Che Liu, Jun Li, Rossella Arcucci, Shenda Hong, Sibo Cheng","submitted_at":"2023-03-22T05:01:14Z","abstract_excerpt":"The electrocardiogram (ECG) is one of the most commonly used non-invasive, convenient medical monitoring tools that assist in the clinical diagnosis of heart diseases. Recently, deep learning (DL) techniques, particularly self-supervised learning (SSL), have demonstrated great potential in the classification of ECG. SSL pre-training has achieved competitive performance with only a small amount of annotated data after fine-tuning. However, current SSL methods rely on the availability of annotated data and are unable to predict labels not existing in fine-tuning datasets. To address this challen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.12311","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/2303.12311/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":"2026-07-05T05:53:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G6DKYwZOmbCee/RI/DsNAQkwhpmb4Y+AWUSEhHJpTGNszg3mpdeyaiaK8ZLgLcAbLXQd+VEHaUJkkWrsQF5pAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T03:44:20.088687Z"},"content_sha256":"f519244938436a202661ade14e0473700e6fc8c24cacf712ae8d0630b9f67667","schema_version":"1.0","event_id":"sha256:f519244938436a202661ade14e0473700e6fc8c24cacf712ae8d0630b9f67667"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS/bundle.json","state_url":"https://pith.science/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS/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":"2026-08-19T03:44:20Z","links":{"resolver":"https://pith.science/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS","bundle":"https://pith.science/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS/bundle.json","state":"https://pith.science/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DTW5WTWMWXZJOUZZVKZDUUYQDS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DTW5WTWMWXZJOUZZVKZDUUYQDS","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":"04acdd898504e77fe24165b954757505e3390aa0333ab24cb701f7ceca768de2","cross_cats_sorted":["cs.AI","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-22T05:01:14Z","title_canon_sha256":"b9c312237b2c39f8258ea051a3f6e7494a1188064a76eab72faa2f4725f1ab06"},"schema_version":"1.0","source":{"id":"2303.12311","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.12311","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"arxiv_version","alias_value":"2303.12311v1","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.12311","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"pith_short_12","alias_value":"DTW5WTWMWXZJ","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"pith_short_16","alias_value":"DTW5WTWMWXZJOUZZ","created_at":"2026-07-05T05:53:39Z"},{"alias_kind":"pith_short_8","alias_value":"DTW5WTWM","created_at":"2026-07-05T05:53:39Z"}],"graph_snapshots":[{"event_id":"sha256:f519244938436a202661ade14e0473700e6fc8c24cacf712ae8d0630b9f67667","target":"graph","created_at":"2026-07-05T05:53:39Z","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/2303.12311/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 commonly used non-invasive, convenient medical monitoring tools that assist in the clinical diagnosis of heart diseases. Recently, deep learning (DL) techniques, particularly self-supervised learning (SSL), have demonstrated great potential in the classification of ECG. SSL pre-training has achieved competitive performance with only a small amount of annotated data after fine-tuning. However, current SSL methods rely on the availability of annotated data and are unable to predict labels not existing in fine-tuning datasets. To address this challen","authors_text":"Che Liu, Jun Li, Rossella Arcucci, Shenda Hong, Sibo Cheng","cross_cats":["cs.AI","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-22T05:01:14Z","title":"Frozen Language Model Helps ECG Zero-Shot Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.12311","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:ff709ef1e21e34433f9ac85f944dd2d2d6716412d9b4e93e83cc812b0bbdc821","target":"record","created_at":"2026-07-05T05:53:39Z","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":"04acdd898504e77fe24165b954757505e3390aa0333ab24cb701f7ceca768de2","cross_cats_sorted":["cs.AI","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-22T05:01:14Z","title_canon_sha256":"b9c312237b2c39f8258ea051a3f6e7494a1188064a76eab72faa2f4725f1ab06"},"schema_version":"1.0","source":{"id":"2303.12311","kind":"arxiv","version":1}},"canonical_sha256":"1ceddb4eccb5f2975339aab23a53101cbf88a12e7e4f2ffacc6899d0ee2ac5c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ceddb4eccb5f2975339aab23a53101cbf88a12e7e4f2ffacc6899d0ee2ac5c7","first_computed_at":"2026-07-05T05:53:39.743687Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:53:39.743687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gy4MjUolS1pLaTGfA+1LK/d02pBKwg8ASElI/JAtrOYoFc2u9tIbpCzHBonrGgcMpMaL8aCu2C/SOf+C0JfxDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:53:39.744163Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.12311","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff709ef1e21e34433f9ac85f944dd2d2d6716412d9b4e93e83cc812b0bbdc821","sha256:f519244938436a202661ade14e0473700e6fc8c24cacf712ae8d0630b9f67667"],"state_sha256":"5e30862366c0067fa72acc605a1e115ca89f7cfaa52f03ce4d2a1dfcee78419a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ygZPjooraVCuP9XG0YjVuEJjTU+30TcUOoyWdTTCARY71KAOuz+ZqDxX52NyWygEknsiajG5+LRBjY8CT2t7Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T03:44:20.093822Z","bundle_sha256":"0176984822ab304cd1e74b8ec88d1d437693170e4575d635f05c931940cee228"}}