{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XA4QM2O6C6ZNH2URG5K3V7TZA3","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":"ea130ba83518b2e0b4b18af876ef9bc6174f592825e798497307e90b95c04c07","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T21:02:49Z","title_canon_sha256":"2784ed41616a69cec521078b9bc7b17f6c1f978b4da938a3fb5e340184b9bc90"},"schema_version":"1.0","source":{"id":"2503.16708","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16708","created_at":"2026-07-05T10:36:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16708v1","created_at":"2026-07-05T10:36:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16708","created_at":"2026-07-05T10:36:47Z"},{"alias_kind":"pith_short_12","alias_value":"XA4QM2O6C6ZN","created_at":"2026-07-05T10:36:47Z"},{"alias_kind":"pith_short_16","alias_value":"XA4QM2O6C6ZNH2UR","created_at":"2026-07-05T10:36:47Z"},{"alias_kind":"pith_short_8","alias_value":"XA4QM2O6","created_at":"2026-07-05T10:36:47Z"}],"graph_snapshots":[{"event_id":"sha256:53dbb87ce9cd5188525ea23db1bc68de7ac868977819c323be509b6c64806ee7","target":"graph","created_at":"2026-07-05T10:36:47Z","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/2503.16708/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In critical care settings, timely and accurate predictions can significantly impact patient outcomes, especially for conditions like sepsis, where early intervention is crucial. We aim to model patient-specific reward functions in a contextual multi-armed bandit setting. The goal is to leverage patient-specific clinical features to optimize decision-making under uncertainty. This paper proposes NeuroSep-CP-LCB, a novel integration of neural networks with contextual bandits and conformal prediction tailored for early sepsis detection. Unlike the algorithm pool selection problem in the previous ","authors_text":"Anni Zhou, Raheem Beyah, Rishikesan Kamaleswaran","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T21:02:49Z","title":"NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16708","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":"sha256:9320bac352b92560461f6a9281d1a2e3817f6646dcf7e63afe62d89066f89bda","target":"record","created_at":"2026-07-05T10:36:47Z","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":"ea130ba83518b2e0b4b18af876ef9bc6174f592825e798497307e90b95c04c07","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T21:02:49Z","title_canon_sha256":"2784ed41616a69cec521078b9bc7b17f6c1f978b4da938a3fb5e340184b9bc90"},"schema_version":"1.0","source":{"id":"2503.16708","kind":"arxiv","version":1}},"canonical_sha256":"b8390669de17b2d3ea913755bafe7906d59af3e84fa1c564158fd439f63e5af6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8390669de17b2d3ea913755bafe7906d59af3e84fa1c564158fd439f63e5af6","first_computed_at":"2026-07-05T10:36:47.908234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:47.908234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Eu8q6OXDy79Q62+apiFb9U+Xp3hsEzgAMi091MFUesGZdvSiRH185nAnmp5EzlflnQN4lmiIQr1ideEoBTCDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:47.908726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16708","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9320bac352b92560461f6a9281d1a2e3817f6646dcf7e63afe62d89066f89bda","sha256:53dbb87ce9cd5188525ea23db1bc68de7ac868977819c323be509b6c64806ee7"],"state_sha256":"24c17e051a3a66c1ccf0b1b9a36ce17c84dbe82ee92ea7ca60acb0f607add2ad"}