{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LTVGGPR2EY7S4H6RKALTPFXDSV","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":"273085c93a2074add1c8ae3d38a34fbcf815002e841ded6fedaacf8f2f5b0a93","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-01-16T22:22:04Z","title_canon_sha256":"685eaadb9b116be4efa5a36f23628df85793cfc2eb70aff29c3c09acdb265b21"},"schema_version":"1.0","source":{"id":"2301.06625","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.06625","created_at":"2026-07-05T08:04:11Z"},{"alias_kind":"arxiv_version","alias_value":"2301.06625v5","created_at":"2026-07-05T08:04:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.06625","created_at":"2026-07-05T08:04:11Z"},{"alias_kind":"pith_short_12","alias_value":"LTVGGPR2EY7S","created_at":"2026-07-05T08:04:11Z"},{"alias_kind":"pith_short_16","alias_value":"LTVGGPR2EY7S4H6R","created_at":"2026-07-05T08:04:11Z"},{"alias_kind":"pith_short_8","alias_value":"LTVGGPR2","created_at":"2026-07-05T08:04:11Z"}],"graph_snapshots":[{"event_id":"sha256:245e947645ac6032049704ae035730ac5a3008e7db7cad258a8ac2dcb32b2b6f","target":"graph","created_at":"2026-07-05T08:04:11Z","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/2301.06625/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background and Objective: Vital sign monitoring in the Intensive Care Unit (ICU) is crucial for enabling prompt interventions for patients. This underscores the need for an accurate predictive system. Therefore, this study proposes a novel deep learning approach for forecasting Heart Rate (HR), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP) in the ICU.\n  Methods: We extracted $24,886$ ICU stays from the MIMIC-III database which contains data from over $46$ thousand patients, to train and test the model. The model proposed in this study, Transformer-based Diffusion Probabilis","authors_text":"Ao Li, Huayu Li, Janet Roveda, Ping Chang, Shu-Fen Wung, Shuyang Lu, Stuart F. Quan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-01-16T22:22:04Z","title":"A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.06625","kind":"arxiv","version":5},"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":"sha256:3714c1ee2077429aa141c95e268864cc0d3bb14ce4542068571a301b6be59f92","target":"record","created_at":"2026-07-05T08:04:11Z","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":"273085c93a2074add1c8ae3d38a34fbcf815002e841ded6fedaacf8f2f5b0a93","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-01-16T22:22:04Z","title_canon_sha256":"685eaadb9b116be4efa5a36f23628df85793cfc2eb70aff29c3c09acdb265b21"},"schema_version":"1.0","source":{"id":"2301.06625","kind":"arxiv","version":5}},"canonical_sha256":"5cea633e3a263f2e1fd150173796e395509b056d67959ea8077d9c2fb316d16d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cea633e3a263f2e1fd150173796e395509b056d67959ea8077d9c2fb316d16d","first_computed_at":"2026-07-05T08:04:11.709019Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:11.709019Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o+LYMHpuG561tzaFHrCl2k5d2mXOiLamvoHmTIghFN1wl7sbLMF9hsyGt9aQQ61lpI022YAkrniU2xrtn/k9CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:11.709634Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.06625","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3714c1ee2077429aa141c95e268864cc0d3bb14ce4542068571a301b6be59f92","sha256:245e947645ac6032049704ae035730ac5a3008e7db7cad258a8ac2dcb32b2b6f"],"state_sha256":"9a3ec7c086872250894a87573b3efc3d96f869973f3731ea79e444cfcb4c7364"}