{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:B3OFPHKGNMCXTYMMTDVJ3YPTWJ","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":"eeba80b9012f59d15dbfe6a2d87aaeb0cb523fb80bc583b47ba1fb7d16db4e48","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T14:04:04Z","title_canon_sha256":"97e5ae5f16cdd4e5ab8e8e04cdb47667334b210abca80264b85f352cdf2530e2"},"schema_version":"1.0","source":{"id":"2408.15076","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15076","created_at":"2026-07-05T08:59:42Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15076v1","created_at":"2026-07-05T08:59:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15076","created_at":"2026-07-05T08:59:42Z"},{"alias_kind":"pith_short_12","alias_value":"B3OFPHKGNMCX","created_at":"2026-07-05T08:59:42Z"},{"alias_kind":"pith_short_16","alias_value":"B3OFPHKGNMCXTYMM","created_at":"2026-07-05T08:59:42Z"},{"alias_kind":"pith_short_8","alias_value":"B3OFPHKG","created_at":"2026-07-05T08:59:42Z"}],"graph_snapshots":[{"event_id":"sha256:66eae2fd9adb9ebff2f0bc7c92adce70d6a0f36f38d528d8cfa3e6a5c697253b","target":"graph","created_at":"2026-07-05T08:59:42Z","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/2408.15076/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The escalating prevalence of cannabis use poses a significant public health challenge globally. In the U.S., cannabis use is more prevalent among emerging adults (EAs) (ages 18-25) than any other age group, with legalization in the multiple states contributing to a public perception that cannabis is less risky than in prior decades. To address this growing concern, we developed MiWaves, a reinforcement learning (RL) algorithm designed to optimize the delivery of personalized intervention prompts to reduce cannabis use among EAs. MiWaves leverages domain expertise and prior data to tailor the l","authors_text":"Erin Bonar, Inbal Nahum-Shani, Lara Coughlin, Maureen Walton, Pei-Yao Hung, Susan Murphy, Susobhan Ghosh, Yongyi Guo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T14:04:04Z","title":"MiWaves Reinforcement Learning Algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15076","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":"sha256:997965819e30cd890418bd16993bcb433dd4c9bfb7047959589346adb003a2f3","target":"record","created_at":"2026-07-05T08:59:42Z","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":"eeba80b9012f59d15dbfe6a2d87aaeb0cb523fb80bc583b47ba1fb7d16db4e48","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T14:04:04Z","title_canon_sha256":"97e5ae5f16cdd4e5ab8e8e04cdb47667334b210abca80264b85f352cdf2530e2"},"schema_version":"1.0","source":{"id":"2408.15076","kind":"arxiv","version":1}},"canonical_sha256":"0edc579d466b0579e18c98ea9de1f3b2660dd83efba4c033538337a5cd4f7c2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0edc579d466b0579e18c98ea9de1f3b2660dd83efba4c033538337a5cd4f7c2a","first_computed_at":"2026-07-05T08:59:42.980038Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:42.980038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ELkvwPCslc3MrcZJ/Lk+2+jFU4LAiaxfGd+KCnL3fcIs1GAI0zDNXtrmrv1m4jWTrIb2AzvputSe2DgnmAgdBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:42.980461Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.15076","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:997965819e30cd890418bd16993bcb433dd4c9bfb7047959589346adb003a2f3","sha256:66eae2fd9adb9ebff2f0bc7c92adce70d6a0f36f38d528d8cfa3e6a5c697253b"],"state_sha256":"832b9bb853d611ec577ee3257f713758a5f04db3d5737bbf9cbac71f3590c902"}