{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LN3GV6FVP6WVRRPKQC2TAT422X","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":"970c0444e039ed2792a9ac571c43e2111fa24fd478259a2d95ae1f8e0dbb5420","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T20:41:17Z","title_canon_sha256":"9cac9c74840a259fdeea24cdd04c5a911a3ca0318317bc817e68377f768a7c2e"},"schema_version":"1.0","source":{"id":"2210.02552","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02552","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02552v1","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02552","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"LN3GV6FVP6WV","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"LN3GV6FVP6WVRRPK","created_at":"2026-07-05T05:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"LN3GV6FV","created_at":"2026-07-05T05:03:53Z"}],"graph_snapshots":[{"event_id":"sha256:66591e8f0ab284db75ea52df6b1c8d1d53a68100e391552835f1c08f76712716","target":"graph","created_at":"2026-07-05T05:03:53Z","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/2210.02552/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mechanical ventilation is a key form of life support for patients with pulmonary impairment. Healthcare workers are required to continuously adjust ventilator settings for each patient, a challenging and time consuming task. Hence, it would be beneficial to develop an automated decision support tool to optimize ventilation treatment. We present DeepVent, a Conservative Q-Learning (CQL) based offline Deep Reinforcement Learning (DRL) agent that learns to predict the optimal ventilator parameters for a patient to promote 90 day survival. We design a clinically relevant intermediate reward that e","authors_text":"Doina Precup, Elaine Lau, Flemming Kondrup, Jacob Shkrob, My Duc Tran, Nathan de Lara, Sumana Basu, Thomas Jiralerspong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T20:41:17Z","title":"Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02552","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":"sha256:50a027f45930fc23c92ebd5f65a4c19872d5957b7f49b5e3a5ccb11f864d8b8c","target":"record","created_at":"2026-07-05T05:03:53Z","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":"970c0444e039ed2792a9ac571c43e2111fa24fd478259a2d95ae1f8e0dbb5420","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T20:41:17Z","title_canon_sha256":"9cac9c74840a259fdeea24cdd04c5a911a3ca0318317bc817e68377f768a7c2e"},"schema_version":"1.0","source":{"id":"2210.02552","kind":"arxiv","version":1}},"canonical_sha256":"5b766af8b57fad58c5ea80b5304f9ad5e4d549adb16e93f78430c16a035177ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b766af8b57fad58c5ea80b5304f9ad5e4d549adb16e93f78430c16a035177ae","first_computed_at":"2026-07-05T05:03:53.890650Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:53.890650Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lZ4ddZRlAeUTpSR1I0SHh88MGiGMW0UeTj4ulfUzjSjvmu7lHUg1YNyi0VfgY3g0exA2DrU+RviuVNHpenc0DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:53.890993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02552","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50a027f45930fc23c92ebd5f65a4c19872d5957b7f49b5e3a5ccb11f864d8b8c","sha256:66591e8f0ab284db75ea52df6b1c8d1d53a68100e391552835f1c08f76712716"],"state_sha256":"9428a061f05e23f671d97d352ad9904e452ffddd241897b11855bf27b5666bb6"}