{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MHKBEP73HPMYCRSBL6JRIGLWPZ","short_pith_number":"pith:MHKBEP73","schema_version":"1.0","canonical_sha256":"61d4123ffb3bd98146415f931419767e56058c3456c621d83e05eee68c7a6458","source":{"kind":"arxiv","id":"2506.08357","version":1},"attestation_state":"computed","paper":{"title":"MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Edward Choi, Franck Meyer, Kyunghoon Hur","submitted_at":"2025-06-10T02:14:52Z","abstract_excerpt":"Despite the remarkable progress of deep-learning methods generating a target vital sign waveform from a source vital sign waveform, most existing models are designed exclusively for a specific source-to-target pair. This requires distinct model architectures, optimization procedures, and pre-processing pipelines, resulting in multiple models that hinder usability in clinical settings. To address this limitation, we propose the Multi-Directional Vital-Sign Converter (MD-ViSCo), a unified framework capable of generating any target waveform such as electrocardiogram (ECG), photoplethysmogram (PPG"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.08357","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-06-10T02:14:52Z","cross_cats_sorted":["cs.AI","eess.AS"],"title_canon_sha256":"02e41355835f2261fa57d0d8e91362eac8da0b413856b78d74b8baaadfb212cb","abstract_canon_sha256":"9f6c624dc18fccd4ea6247b3a9e2d45b296ab8664fe09d64dc63923d92d2247f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:48.483726Z","signature_b64":"yIY7wBzcpt3CWedlmMFei4KEeSDgwG7HvSEUIy4gbefujGqrI+/lIOZFJkfKsQQ1Co7OMjp8QUwUB0eUjyVACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61d4123ffb3bd98146415f931419767e56058c3456c621d83e05eee68c7a6458","last_reissued_at":"2026-07-05T11:18:48.483370Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:48.483370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.AS"],"primary_cat":"cs.SD","authors_text":"Edward Choi, Franck Meyer, Kyunghoon Hur","submitted_at":"2025-06-10T02:14:52Z","abstract_excerpt":"Despite the remarkable progress of deep-learning methods generating a target vital sign waveform from a source vital sign waveform, most existing models are designed exclusively for a specific source-to-target pair. This requires distinct model architectures, optimization procedures, and pre-processing pipelines, resulting in multiple models that hinder usability in clinical settings. To address this limitation, we propose the Multi-Directional Vital-Sign Converter (MD-ViSCo), a unified framework capable of generating any target waveform such as electrocardiogram (ECG), photoplethysmogram (PPG"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08357","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/2506.08357/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.08357","created_at":"2026-07-05T11:18:48.483424+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.08357v1","created_at":"2026-07-05T11:18:48.483424+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08357","created_at":"2026-07-05T11:18:48.483424+00:00"},{"alias_kind":"pith_short_12","alias_value":"MHKBEP73HPMY","created_at":"2026-07-05T11:18:48.483424+00:00"},{"alias_kind":"pith_short_16","alias_value":"MHKBEP73HPMYCRSB","created_at":"2026-07-05T11:18:48.483424+00:00"},{"alias_kind":"pith_short_8","alias_value":"MHKBEP73","created_at":"2026-07-05T11:18:48.483424+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ","json":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ.json","graph_json":"https://pith.science/api/pith-number/MHKBEP73HPMYCRSBL6JRIGLWPZ/graph.json","events_json":"https://pith.science/api/pith-number/MHKBEP73HPMYCRSBL6JRIGLWPZ/events.json","paper":"https://pith.science/paper/MHKBEP73"},"agent_actions":{"view_html":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ","download_json":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ.json","view_paper":"https://pith.science/paper/MHKBEP73","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.08357&json=true","fetch_graph":"https://pith.science/api/pith-number/MHKBEP73HPMYCRSBL6JRIGLWPZ/graph.json","fetch_events":"https://pith.science/api/pith-number/MHKBEP73HPMYCRSBL6JRIGLWPZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ/action/storage_attestation","attest_author":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ/action/author_attestation","sign_citation":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ/action/citation_signature","submit_replication":"https://pith.science/pith/MHKBEP73HPMYCRSBL6JRIGLWPZ/action/replication_record"}},"created_at":"2026-07-05T11:18:48.483424+00:00","updated_at":"2026-07-05T11:18:48.483424+00:00"}