{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IWSTUU7JY4DKDEOI3LPS5GGUDN","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":"8a0cd3d71dd7477dccd6d6b3adfe5d2afb785668da9a6b03236770e416589b92","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-30T21:54:41Z","title_canon_sha256":"58de898ad1ffbd8861ba3956112bf4d7c77611fdc590c55c4eb89d866d52ac84"},"schema_version":"1.0","source":{"id":"2407.00840","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.00840","created_at":"2026-07-05T10:24:22Z"},{"alias_kind":"arxiv_version","alias_value":"2407.00840v2","created_at":"2026-07-05T10:24:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.00840","created_at":"2026-07-05T10:24:22Z"},{"alias_kind":"pith_short_12","alias_value":"IWSTUU7JY4DK","created_at":"2026-07-05T10:24:22Z"},{"alias_kind":"pith_short_16","alias_value":"IWSTUU7JY4DKDEOI","created_at":"2026-07-05T10:24:22Z"},{"alias_kind":"pith_short_8","alias_value":"IWSTUU7J","created_at":"2026-07-05T10:24:22Z"}],"graph_snapshots":[{"event_id":"sha256:b2aec5a4445aac9310e1e3a17be9aeef87a41a533891d418816e921cede0a836","target":"graph","created_at":"2026-07-05T10:24:22Z","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/2407.00840/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The era of big data has made vast amounts of clinical data readily available, particularly in the form of electronic health records (EHRs), which provides unprecedented opportunities for developing data-driven diagnostic tools to enhance clinical decision making. However, the application of EHRs in data-driven modeling faces challenges such as irregularly spaced multi-variate time series, issues of incompleteness, and data imbalance. Realizing the full data potential of EHRs hinges on the development of advanced analytical models. In this paper, we propose a novel Missingness-aware mUlti-branc","authors_text":"Bing Yao, Tieming Liu, Zekai Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-30T21:54:41Z","title":"MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.00840","kind":"arxiv","version":2},"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":"sha256:49319a763bfac033b6cb883479b06e1b27eb2af90d41d8ee35b16d322baec090","target":"record","created_at":"2026-07-05T10:24:22Z","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":"8a0cd3d71dd7477dccd6d6b3adfe5d2afb785668da9a6b03236770e416589b92","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-06-30T21:54:41Z","title_canon_sha256":"58de898ad1ffbd8861ba3956112bf4d7c77611fdc590c55c4eb89d866d52ac84"},"schema_version":"1.0","source":{"id":"2407.00840","kind":"arxiv","version":2}},"canonical_sha256":"45a53a53e9c706a191c8dadf2e98d41b79f60b84b7175db1e38ae18c53567791","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45a53a53e9c706a191c8dadf2e98d41b79f60b84b7175db1e38ae18c53567791","first_computed_at":"2026-07-05T10:24:22.831262Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:24:22.831262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fp+SayAPmSV6Z2SYWqKQ2DMMjf0MAo1djdhqGHMXAvxuBiVI2iPRokEqKdRnAF9uGVgyLhO7/p84l+PKGC+jAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:24:22.831922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.00840","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49319a763bfac033b6cb883479b06e1b27eb2af90d41d8ee35b16d322baec090","sha256:b2aec5a4445aac9310e1e3a17be9aeef87a41a533891d418816e921cede0a836"],"state_sha256":"91227fb87c8e039bb43a6186fec7e36d5d95e898de8d6913a57e9d2e0618eb28"}