{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EK5SAM2KXLKH3Q6WPRKW2MXELH","short_pith_number":"pith:EK5SAM2K","canonical_record":{"source":{"id":"2410.02131","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-03T01:24:09Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"091de8d1a5e56d74be53458fe192dd7a36dcfe53d1e82ce112c46e939387b590","abstract_canon_sha256":"d00649e83ef4f509849da43c577abc4f52331b3326399d083690d1ed443ce2a5"},"schema_version":"1.0"},"canonical_sha256":"22bb20334abad47dc3d67c556d32e459f791b1f2c2faa9a560693c6152ddbacd","source":{"kind":"arxiv","id":"2410.02131","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.02131","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"arxiv_version","alias_value":"2410.02131v3","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.02131","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"pith_short_12","alias_value":"EK5SAM2KXLKH","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"pith_short_16","alias_value":"EK5SAM2KXLKH3Q6W","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"pith_short_8","alias_value":"EK5SAM2K","created_at":"2026-07-05T10:59:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EK5SAM2KXLKH3Q6WPRKW2MXELH","target":"record","payload":{"canonical_record":{"source":{"id":"2410.02131","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-03T01:24:09Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"091de8d1a5e56d74be53458fe192dd7a36dcfe53d1e82ce112c46e939387b590","abstract_canon_sha256":"d00649e83ef4f509849da43c577abc4f52331b3326399d083690d1ed443ce2a5"},"schema_version":"1.0"},"canonical_sha256":"22bb20334abad47dc3d67c556d32e459f791b1f2c2faa9a560693c6152ddbacd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:47.862095Z","signature_b64":"ikcMXUcRM29DYUIgSf7zpLU6M8YZ9YBAygG2C5BLWHYuthTB2v5aac+IZ+YZVOKpafdjVz0h6zwObWP/ALFuDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22bb20334abad47dc3d67c556d32e459f791b1f2c2faa9a560693c6152ddbacd","last_reissued_at":"2026-07-05T10:59:47.861650Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:47.861650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.02131","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:59:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Q7A6HKzq1HoibwY5ngfELl6iTwCWAirbpjpKFNrA2VHQvNc/t/jaQqWbVJJyQ9BJ701rjPCOIoo0wsFhP+gBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:16:30.043104Z"},"content_sha256":"264f5d7fc0a563665cd73c603e0c5851fbe88589c0d9f798b922c7e09bf1a174","schema_version":"1.0","event_id":"sha256:264f5d7fc0a563665cd73c603e0c5851fbe88589c0d9f798b922c7e09bf1a174"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EK5SAM2KXLKH3Q6WPRKW2MXELH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Aaqib Saeed, Dong Ma, Hung Manh Pham","submitted_at":"2024-10-03T01:24:09Z","abstract_excerpt":"The accurate interpretation of Electrocardiogram (ECG) signals is pivotal for diagnosing cardiovascular diseases. Integrating ECG signals with accompanying textual reports further holds immense potential to enhance clinical diagnostics by combining physiological data and qualitative insights. However, this integration faces significant challenges due to inherent modality disparities and the scarcity of labeled data for robust cross-modal learning. To address these obstacles, we propose D-BETA, a novel framework that pre-trains ECG and text data using a contrastive masked auto-encoder architect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.02131","kind":"arxiv","version":3},"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/2410.02131/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":"2026-07-05T10:59:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5mAZRuURzU9acHpJCes0ySC1M03mlSd+XRVoiDEuGuWYS6HaK/paV0S0GNol4fwYI2H+H3bR/ez+E5Xp6M2jDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:16:30.043609Z"},"content_sha256":"895b121ff5f4c6d910b1bd248bbcf8e82edab4a68c157f4a050540c10d63231d","schema_version":"1.0","event_id":"sha256:895b121ff5f4c6d910b1bd248bbcf8e82edab4a68c157f4a050540c10d63231d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH/bundle.json","state_url":"https://pith.science/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH/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":"2026-08-08T14:16:30Z","links":{"resolver":"https://pith.science/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH","bundle":"https://pith.science/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH/bundle.json","state":"https://pith.science/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EK5SAM2KXLKH3Q6WPRKW2MXELH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EK5SAM2KXLKH3Q6WPRKW2MXELH","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":"d00649e83ef4f509849da43c577abc4f52331b3326399d083690d1ed443ce2a5","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-03T01:24:09Z","title_canon_sha256":"091de8d1a5e56d74be53458fe192dd7a36dcfe53d1e82ce112c46e939387b590"},"schema_version":"1.0","source":{"id":"2410.02131","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.02131","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"arxiv_version","alias_value":"2410.02131v3","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.02131","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"pith_short_12","alias_value":"EK5SAM2KXLKH","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"pith_short_16","alias_value":"EK5SAM2KXLKH3Q6W","created_at":"2026-07-05T10:59:47Z"},{"alias_kind":"pith_short_8","alias_value":"EK5SAM2K","created_at":"2026-07-05T10:59:47Z"}],"graph_snapshots":[{"event_id":"sha256:895b121ff5f4c6d910b1bd248bbcf8e82edab4a68c157f4a050540c10d63231d","target":"graph","created_at":"2026-07-05T10:59:47Z","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/2410.02131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accurate interpretation of Electrocardiogram (ECG) signals is pivotal for diagnosing cardiovascular diseases. Integrating ECG signals with accompanying textual reports further holds immense potential to enhance clinical diagnostics by combining physiological data and qualitative insights. However, this integration faces significant challenges due to inherent modality disparities and the scarcity of labeled data for robust cross-modal learning. To address these obstacles, we propose D-BETA, a novel framework that pre-trains ECG and text data using a contrastive masked auto-encoder architect","authors_text":"Aaqib Saeed, Dong Ma, Hung Manh Pham","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-03T01:24:09Z","title":"Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.02131","kind":"arxiv","version":3},"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":"sha256:264f5d7fc0a563665cd73c603e0c5851fbe88589c0d9f798b922c7e09bf1a174","target":"record","created_at":"2026-07-05T10:59:47Z","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":"d00649e83ef4f509849da43c577abc4f52331b3326399d083690d1ed443ce2a5","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-03T01:24:09Z","title_canon_sha256":"091de8d1a5e56d74be53458fe192dd7a36dcfe53d1e82ce112c46e939387b590"},"schema_version":"1.0","source":{"id":"2410.02131","kind":"arxiv","version":3}},"canonical_sha256":"22bb20334abad47dc3d67c556d32e459f791b1f2c2faa9a560693c6152ddbacd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22bb20334abad47dc3d67c556d32e459f791b1f2c2faa9a560693c6152ddbacd","first_computed_at":"2026-07-05T10:59:47.861650Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:47.861650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ikcMXUcRM29DYUIgSf7zpLU6M8YZ9YBAygG2C5BLWHYuthTB2v5aac+IZ+YZVOKpafdjVz0h6zwObWP/ALFuDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:47.862095Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.02131","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:264f5d7fc0a563665cd73c603e0c5851fbe88589c0d9f798b922c7e09bf1a174","sha256:895b121ff5f4c6d910b1bd248bbcf8e82edab4a68c157f4a050540c10d63231d"],"state_sha256":"0d953545ce27554a841d34807fee0b62bd2e23507ca72addc382313785e99423"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zu8Dcb3oKhJf3uYWv2wjTFU1AVfUTdj92CnLw8ka5z2XB0BPWa89WC/4mEm7UETT4zQxLjuEoy47H4x4DIgEDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:16:30.048959Z","bundle_sha256":"fd7e3b16e45516ed2010284cbca69f809ba8e79d7cef199dc45c0fd2005b3613"}}