{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SUVO7V7HYO2CJNXH6YGNRNN4JP","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":"3d2db5f905ca30ea67e5a26b88e34515cca922736fd4e4bae63ba4ce65da5c7b","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-28T18:06:24Z","title_canon_sha256":"1a070cf772f75aa87095f28e1d58235e6e2c38f300aee35171885aba2731932b"},"schema_version":"1.0","source":{"id":"2308.14815","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.14815","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"arxiv_version","alias_value":"2308.14815v4","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.14815","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_12","alias_value":"SUVO7V7HYO2C","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_16","alias_value":"SUVO7V7HYO2CJNXH","created_at":"2026-07-05T10:27:05Z"},{"alias_kind":"pith_short_8","alias_value":"SUVO7V7H","created_at":"2026-07-05T10:27:05Z"}],"graph_snapshots":[{"event_id":"sha256:f33a84483b3dd86dcd2db9bf71cd768f1f52131a9f17c165ca15f5acf1e05870","target":"graph","created_at":"2026-07-05T10:27:05Z","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/2308.14815/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A particularly challenging problem in AI safety is providing guarantees on the behavior of high-dimensional autonomous systems. Verification approaches centered around reachability analysis fail to scale, and purely statistical approaches are constrained by the distributional assumptions about the sampling process. Instead, we pose a distributionally robust version of the statistical verification problem for black-box systems, where our performance guarantees hold over a large family of distributions. This paper proposes a novel approach based on uncertainty quantification using concepts from ","authors_text":"Insup Lee, Ivan Ruchkin, Kuk Jin Jang, Matthew Cleaveland, Michele Caprio, Oleg Sokolsky, Souradeep Dutta, Vivian Lin","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-28T18:06:24Z","title":"Distributionally Robust Statistical Verification with Imprecise Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.14815","kind":"arxiv","version":4},"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":"sha256:3230f6860a83ab73287b5f663bbe7663fdf31aa7ddad641d08b775941daa1c90","target":"record","created_at":"2026-07-05T10:27:05Z","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":"3d2db5f905ca30ea67e5a26b88e34515cca922736fd4e4bae63ba4ce65da5c7b","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-28T18:06:24Z","title_canon_sha256":"1a070cf772f75aa87095f28e1d58235e6e2c38f300aee35171885aba2731932b"},"schema_version":"1.0","source":{"id":"2308.14815","kind":"arxiv","version":4}},"canonical_sha256":"952aefd7e7c3b424b6e7f60cd8b5bc4bec2ce3ba87d5c645b02ca45bb80a8a9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"952aefd7e7c3b424b6e7f60cd8b5bc4bec2ce3ba87d5c645b02ca45bb80a8a9f","first_computed_at":"2026-07-05T10:27:05.208005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:05.208005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"74IJaEibPJSyh33CPj39ZaFfNa3N71XWheuWMWFKjS0v5EBvGUWaG1ICgAWmY1RVb8WipXNGl6dOgtH7/pxkAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:05.208617Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.14815","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3230f6860a83ab73287b5f663bbe7663fdf31aa7ddad641d08b775941daa1c90","sha256:f33a84483b3dd86dcd2db9bf71cd768f1f52131a9f17c165ca15f5acf1e05870"],"state_sha256":"3a6ede640183977d9e94ff2f99662d9ffe36ebf3895cc6dc92689aa290d7adeb"}