{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:WSHO6G7HO6JWYW23Y3JYFSRJNQ","short_pith_number":"pith:WSHO6G7H","schema_version":"1.0","canonical_sha256":"b48eef1be777936c5b5bc6d382ca296c03e690cbb48b4fffc52e4e79d592d6e8","source":{"kind":"arxiv","id":"2108.06776","version":2},"attestation_state":"computed","paper":{"title":"CVaR-based Safety Analysis in the Infinite Time Horizon Setting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"Chuanning Wei, Margaret P. Chapman, Michael Fauss","submitted_at":"2021-08-15T16:47:32Z","abstract_excerpt":"We develop a risk-averse safety analysis method for stochastic systems on discrete infinite time horizons. Our method quantifies the notion of risk for a control system in terms of the severity of a harmful random outcome in a fraction of the worst cases. In contrast, classical methods quantify risk in terms of the probability of a harmful event. Our theoretical arguments are based on the analysis of a value iteration algorithm on an augmented state space. We provide conditions to guarantee the existence of an optimal policy on this space. We illustrate the method numerically using an example "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2108.06776","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2021-08-15T16:47:32Z","cross_cats_sorted":["cs.SY","math.OC"],"title_canon_sha256":"781f5cd53cfd4a927be833661dee69afb4a06cc403ed9aad555ae45f662ba1db","abstract_canon_sha256":"4a18de49a13535044a1d3e19472b857ad27786deffc24e694f6ee4935a987f0d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:03:50.217016Z","signature_b64":"dgT9FzN4swgOa4wj9LJq6rJzpuC0m15HSyaHMaQhMk+77j6QJ/cysZx4tHuhYOYN+fibYjJSMC9NYnTebnz6BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b48eef1be777936c5b5bc6d382ca296c03e690cbb48b4fffc52e4e79d592d6e8","last_reissued_at":"2026-07-05T04:03:50.216571Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:03:50.216571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CVaR-based Safety Analysis in the Infinite Time Horizon Setting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"Chuanning Wei, Margaret P. Chapman, Michael Fauss","submitted_at":"2021-08-15T16:47:32Z","abstract_excerpt":"We develop a risk-averse safety analysis method for stochastic systems on discrete infinite time horizons. Our method quantifies the notion of risk for a control system in terms of the severity of a harmful random outcome in a fraction of the worst cases. In contrast, classical methods quantify risk in terms of the probability of a harmful event. Our theoretical arguments are based on the analysis of a value iteration algorithm on an augmented state space. We provide conditions to guarantee the existence of an optimal policy on this space. We illustrate the method numerically using an example "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06776","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2108.06776/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2108.06776","created_at":"2026-07-05T04:03:50.216630+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.06776v2","created_at":"2026-07-05T04:03:50.216630+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06776","created_at":"2026-07-05T04:03:50.216630+00:00"},{"alias_kind":"pith_short_12","alias_value":"WSHO6G7HO6JW","created_at":"2026-07-05T04:03:50.216630+00:00"},{"alias_kind":"pith_short_16","alias_value":"WSHO6G7HO6JWYW23","created_at":"2026-07-05T04:03:50.216630+00:00"},{"alias_kind":"pith_short_8","alias_value":"WSHO6G7H","created_at":"2026-07-05T04:03:50.216630+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ","json":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ.json","graph_json":"https://pith.science/api/pith-number/WSHO6G7HO6JWYW23Y3JYFSRJNQ/graph.json","events_json":"https://pith.science/api/pith-number/WSHO6G7HO6JWYW23Y3JYFSRJNQ/events.json","paper":"https://pith.science/paper/WSHO6G7H"},"agent_actions":{"view_html":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ","download_json":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ.json","view_paper":"https://pith.science/paper/WSHO6G7H","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.06776&json=true","fetch_graph":"https://pith.science/api/pith-number/WSHO6G7HO6JWYW23Y3JYFSRJNQ/graph.json","fetch_events":"https://pith.science/api/pith-number/WSHO6G7HO6JWYW23Y3JYFSRJNQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ/action/storage_attestation","attest_author":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ/action/author_attestation","sign_citation":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ/action/citation_signature","submit_replication":"https://pith.science/pith/WSHO6G7HO6JWYW23Y3JYFSRJNQ/action/replication_record"}},"created_at":"2026-07-05T04:03:50.216630+00:00","updated_at":"2026-07-05T04:03:50.216630+00:00"}