{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BQSDWS6UQGJSU6H5QGEGGNVSOS","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":"241d6b155cd1cc57d8d3c47b44af46bec43e5b356ed4a72c20864608b6f859c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-05T09:50:02Z","title_canon_sha256":"4a9afc1a143ecb9358169e5c02710c522bf49ce1dd8a6179726c544b60c71e5f"},"schema_version":"1.0","source":{"id":"2506.04828","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04828","created_at":"2026-07-05T11:16:37Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04828v1","created_at":"2026-07-05T11:16:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04828","created_at":"2026-07-05T11:16:37Z"},{"alias_kind":"pith_short_12","alias_value":"BQSDWS6UQGJS","created_at":"2026-07-05T11:16:37Z"},{"alias_kind":"pith_short_16","alias_value":"BQSDWS6UQGJSU6H5","created_at":"2026-07-05T11:16:37Z"},{"alias_kind":"pith_short_8","alias_value":"BQSDWS6U","created_at":"2026-07-05T11:16:37Z"}],"graph_snapshots":[{"event_id":"sha256:12b9d0ce24ffb26913513db444197c527b8302a5433c9b4728486d7e4188359c","target":"graph","created_at":"2026-07-05T11:16:37Z","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/2506.04828/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement Learning (RL) applications in real-world scenarios must prioritize safety and reliability, which impose strict constraints on agent behavior. Model-based RL leverages predictive world models for action planning and policy optimization, but inherent model inaccuracies can lead to catastrophic failures in safety-critical settings. We propose a novel model-based RL framework that jointly optimizes task performance and safety. To address world model errors, our method incorporates an adaptive mechanism that dynamically switches between model-based planning and direct policy execution","authors_text":"Aleksandr I. Panov, Artem Latyshev, Gregory Gorbov","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-05T09:50:02Z","title":"Safe Planning and Policy Optimization via World Model Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04828","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:d0b063849cbd32f871deb6a1227bda30b02757d353fd882e827bd3e548622f3b","target":"record","created_at":"2026-07-05T11:16:37Z","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":"241d6b155cd1cc57d8d3c47b44af46bec43e5b356ed4a72c20864608b6f859c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-05T09:50:02Z","title_canon_sha256":"4a9afc1a143ecb9358169e5c02710c522bf49ce1dd8a6179726c544b60c71e5f"},"schema_version":"1.0","source":{"id":"2506.04828","kind":"arxiv","version":1}},"canonical_sha256":"0c243b4bd481932a78fd81886336b274a88d4b7a02a83b0357f517e0f4c2ac6b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c243b4bd481932a78fd81886336b274a88d4b7a02a83b0357f517e0f4c2ac6b","first_computed_at":"2026-07-05T11:16:37.447227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:37.447227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x68ZpMNtr28PKjUaS4eejZDJo5oqvbq+qyjO7SM3wq0g4k1IpiaxX4ALBZwQjCNScY+BQTM7WeARHrnZxBbOCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:37.447659Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04828","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d0b063849cbd32f871deb6a1227bda30b02757d353fd882e827bd3e548622f3b","sha256:12b9d0ce24ffb26913513db444197c527b8302a5433c9b4728486d7e4188359c"],"state_sha256":"44c7f1b59bf44b7db94c1403c187d1cec6a15f9b20e21bec50778daac5aa26e4"}