{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B4FIGQV6WK675SQLGHYTYX77MM","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":"44786ceed3b6dfc087e9530c45c82126571362bd20db332f4736f5e7d1853976","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T07:05:24Z","title_canon_sha256":"132554a8e0d7faee2317d2f40b6af6be7618583498025817501119ccf7a4ce04"},"schema_version":"1.0","source":{"id":"2508.21101","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.21101","created_at":"2026-07-05T12:01:27Z"},{"alias_kind":"arxiv_version","alias_value":"2508.21101v1","created_at":"2026-07-05T12:01:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.21101","created_at":"2026-07-05T12:01:27Z"},{"alias_kind":"pith_short_12","alias_value":"B4FIGQV6WK67","created_at":"2026-07-05T12:01:27Z"},{"alias_kind":"pith_short_16","alias_value":"B4FIGQV6WK675SQL","created_at":"2026-07-05T12:01:27Z"},{"alias_kind":"pith_short_8","alias_value":"B4FIGQV6","created_at":"2026-07-05T12:01:27Z"}],"graph_snapshots":[{"event_id":"sha256:e1b8c77c39c04c4c29d1bd2fb55bcfe9a6fd8f353b4294a6500ea7da2bd3bf87","target":"graph","created_at":"2026-07-05T12:01:27Z","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/2508.21101/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement learning (RL) marks a fundamental shift in how artificial intelligence is applied in healthcare. Instead of merely predicting outcomes, RL actively decides interventions with long term goals. Unlike traditional models that operate on fixed associations, RL systems learn through trial, feedback, and long-term reward optimization, introducing transformative possibilities and new risks. From an information fusion lens, healthcare RL typically integrates multi-source signals such as vitals, labs clinical notes, imaging and device telemetry using temporal and decision-level mechanisms","authors_text":"Daniel J. Tan, Dilruk Perera, Erik Cambria, Gousia Habib, Kai He, Mengling Feng, Qianyi Xu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T07:05:24Z","title":"Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.21101","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:fecbc5fd193e997931504ffe80d6c206a267356f54382726b1dd039127c95696","target":"record","created_at":"2026-07-05T12:01:27Z","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":"44786ceed3b6dfc087e9530c45c82126571362bd20db332f4736f5e7d1853976","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T07:05:24Z","title_canon_sha256":"132554a8e0d7faee2317d2f40b6af6be7618583498025817501119ccf7a4ce04"},"schema_version":"1.0","source":{"id":"2508.21101","kind":"arxiv","version":1}},"canonical_sha256":"0f0a8342beb2bdfeca0b31f13c5fff6328a73aaab49dc25043da2cdeab7d4ec1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f0a8342beb2bdfeca0b31f13c5fff6328a73aaab49dc25043da2cdeab7d4ec1","first_computed_at":"2026-07-05T12:01:27.964244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:01:27.964244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/JqefaUr6RAORNQvRX5hPw0TB/hi0+NiUtbY6DEOpIBye4f4J5XJduzhSR8KqkdMhvl98A35EEc+1u8h38E4Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:01:27.964756Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.21101","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fecbc5fd193e997931504ffe80d6c206a267356f54382726b1dd039127c95696","sha256:e1b8c77c39c04c4c29d1bd2fb55bcfe9a6fd8f353b4294a6500ea7da2bd3bf87"],"state_sha256":"11c262039c2335f3a77fa1f57fc063de4c119f101efa48b43e75fef1bf44c156"}