{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:HEE5WUWPQDEE2T3D75ZAHIZYCI","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":"b0c13d8ee16840ac276722d28af91aada0e8fc1d8cdbad723e5b5ff5d0a6963c","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-02T08:00:45Z","title_canon_sha256":"51fb692a7b60f51dc8f70a797e6fae78822a184ed58e5e1e104b59393b49af96"},"schema_version":"1.0","source":{"id":"2206.00910","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.00910","created_at":"2026-07-05T04:28:34Z"},{"alias_kind":"arxiv_version","alias_value":"2206.00910v1","created_at":"2026-07-05T04:28:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.00910","created_at":"2026-07-05T04:28:34Z"},{"alias_kind":"pith_short_12","alias_value":"HEE5WUWPQDEE","created_at":"2026-07-05T04:28:34Z"},{"alias_kind":"pith_short_16","alias_value":"HEE5WUWPQDEE2T3D","created_at":"2026-07-05T04:28:34Z"},{"alias_kind":"pith_short_8","alias_value":"HEE5WUWP","created_at":"2026-07-05T04:28:34Z"}],"graph_snapshots":[{"event_id":"sha256:245ac1c56f6da3f0037aebd1aa0e790f7a2c80e4d540dd11c163b1e252ce1dfa","target":"graph","created_at":"2026-07-05T04:28:34Z","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/2206.00910/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In order to find the most likely failure scenarios which may occur under certain given operation domain, critical-scenario-based test is supposed as an effective and widely used method, which gives suggestions for designers to improve the developing algorithm. However, for the state of art, critical-scenario generation approaches commonly utilize random-search or reinforcement learning methods to generate series of scenarios for a specific algorithm, which takes amounts of computing resource for testing a developing target that is always changing, and inapplicable for testing a real-time syste","authors_text":"Kunpeng Dai, Yizhou Xie, Yong Zhang","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-02T08:00:45Z","title":"A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.00910","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:e4649268656db6c8a3eb40ba81498c88d0f1e9f9d0852aeee370a3d996b9c27f","target":"record","created_at":"2026-07-05T04:28:34Z","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":"b0c13d8ee16840ac276722d28af91aada0e8fc1d8cdbad723e5b5ff5d0a6963c","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-02T08:00:45Z","title_canon_sha256":"51fb692a7b60f51dc8f70a797e6fae78822a184ed58e5e1e104b59393b49af96"},"schema_version":"1.0","source":{"id":"2206.00910","kind":"arxiv","version":1}},"canonical_sha256":"3909db52cf80c84d4f63ff7203a338123d3a49e6df5946d3502686c7759f7605","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3909db52cf80c84d4f63ff7203a338123d3a49e6df5946d3502686c7759f7605","first_computed_at":"2026-07-05T04:28:34.864365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:28:34.864365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JRvktTYMVnYh7JecIEh9dz1RNHFLNDXHfKf5LAMibB/RmxvWZpW6K5rMr8eMGWORN4n2gURMD4mFRIwTqlGiAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:28:34.864774Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.00910","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e4649268656db6c8a3eb40ba81498c88d0f1e9f9d0852aeee370a3d996b9c27f","sha256:245ac1c56f6da3f0037aebd1aa0e790f7a2c80e4d540dd11c163b1e252ce1dfa"],"state_sha256":"0007b8da3f844b4b128f098c36a480da0e935c81964698ff08fc1b35b57c0aaf"}