{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JV4ZH52GDDWS34HNEU5TMOFQAG","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":"a5cb23b986da907161882a26aeea971b17d87a65f7b84fe29f7201f75ff7d58f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-12-10T22:11:18Z","title_canon_sha256":"3c68501f24b69a46c2a62955b5dd4f451655d38dc30bcedca361ff1c599a58fe"},"schema_version":"1.0","source":{"id":"1812.04128","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04128","created_at":"2026-07-05T01:57:11Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04128v3","created_at":"2026-07-05T01:57:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04128","created_at":"2026-07-05T01:57:11Z"},{"alias_kind":"pith_short_12","alias_value":"JV4ZH52GDDWS","created_at":"2026-07-05T01:57:11Z"},{"alias_kind":"pith_short_16","alias_value":"JV4ZH52GDDWS34HN","created_at":"2026-07-05T01:57:11Z"},{"alias_kind":"pith_short_8","alias_value":"JV4ZH52G","created_at":"2026-07-05T01:57:11Z"}],"graph_snapshots":[{"event_id":"sha256:7087e2813b6350765f3acb4098772eede23f9d181b76c08bb1d5e0e07ffcae83","target":"graph","created_at":"2026-07-05T01:57:11Z","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/1812.04128/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robots are increasingly used to carry out critical missions in extreme environments that are hazardous for humans. This requires a high degree of operational autonomy under uncertain conditions, and poses new challenges for assuring the robot's safety and reliability. In this paper, we develop a framework for probabilistic model checking on a layered Markov model to verify the safety and reliability requirements of such robots, both at pre-mission stage and during runtime. Two novel estimators based on conservative Bayesian inference and imprecise probability model with sets of priors are intr","authors_text":"David Flynn, Fateme Dinmohammadi, Matt Webster, Michael Fisher, Valentin Robu, Xingyu Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-12-10T22:11:18Z","title":"Probabilistic Model Checking of Robots Deployed in Extreme Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04128","kind":"arxiv","version":3},"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":"sha256:35ea5a8498552cdaa606b8a5a16c7fb4068133fc4e23ec8765850e3c187ac7d2","target":"record","created_at":"2026-07-05T01:57:11Z","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":"a5cb23b986da907161882a26aeea971b17d87a65f7b84fe29f7201f75ff7d58f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-12-10T22:11:18Z","title_canon_sha256":"3c68501f24b69a46c2a62955b5dd4f451655d38dc30bcedca361ff1c599a58fe"},"schema_version":"1.0","source":{"id":"1812.04128","kind":"arxiv","version":3}},"canonical_sha256":"4d7993f74618ed2df0ed253b3638b0018ed0f024cefc15e6df312c8d5c2aecf0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d7993f74618ed2df0ed253b3638b0018ed0f024cefc15e6df312c8d5c2aecf0","first_computed_at":"2026-07-05T01:57:11.590909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:57:11.590909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5OgWr/2xrgCFp+dGCbZ4RRCht7BM7HfWKFgFd4BnLS1xePIKXJd/QSfcDFn4lA1NBMNXZxCphKIJEMHBi14ECA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:57:11.591400Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.04128","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35ea5a8498552cdaa606b8a5a16c7fb4068133fc4e23ec8765850e3c187ac7d2","sha256:7087e2813b6350765f3acb4098772eede23f9d181b76c08bb1d5e0e07ffcae83"],"state_sha256":"89f99a4ce961523f54d7512fd8ab057602b1830506a86ee482be0cd9dea4e248"}