{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GJBNW5DGFPFGACYDBDGNES67CD","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":"dc2a06837289e153f8cc40e17d10e62312534fd1af5f176d1503fc1e024461ae","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T08:32:56Z","title_canon_sha256":"498cb135db69455f91ab5fa44fc175e362c903413d0b66c9f1db07fa8eaaba12"},"schema_version":"1.0","source":{"id":"2203.07724","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.07724","created_at":"2026-07-05T04:58:15Z"},{"alias_kind":"arxiv_version","alias_value":"2203.07724v3","created_at":"2026-07-05T04:58:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.07724","created_at":"2026-07-05T04:58:15Z"},{"alias_kind":"pith_short_12","alias_value":"GJBNW5DGFPFG","created_at":"2026-07-05T04:58:15Z"},{"alias_kind":"pith_short_16","alias_value":"GJBNW5DGFPFGACYD","created_at":"2026-07-05T04:58:15Z"},{"alias_kind":"pith_short_8","alias_value":"GJBNW5DG","created_at":"2026-07-05T04:58:15Z"}],"graph_snapshots":[{"event_id":"sha256:3413868b0b4e7cdb3032418dc934b5511b4023a6c84abe36292e8aad22c22174","target":"graph","created_at":"2026-07-05T04:58:15Z","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/2203.07724/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contemporary deep-learning object detection methods for autonomous driving usually assume prefixed categories of common traffic participants, such as pedestrians and cars. Most existing detectors are unable to detect uncommon objects and corner cases (e.g., a dog crossing a street), which may lead to severe accidents in some situations, making the timeline for the real-world application of reliable autonomous driving uncertain. One main reason that impedes the development of truly reliably self-driving systems is the lack of public datasets for evaluating the performance of object detectors on","authors_text":"Chaoqiang Ye, Chunjing Xu, Dit-Yan Yeung, Hang Xu, Haoyu Wang, Jianhua Han, Kaican Li, Kai Chen, Lanqing Hong, Wei Zhang, Xiaodan Liang, Yukuai Chen, Zhenguo Li","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T08:32:56Z","title":"CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.07724","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":"sha256:6e1908b2d1fc7faa85542db067f0e0f7d862d77cc30e537f8db4056c54284cdd","target":"record","created_at":"2026-07-05T04:58:15Z","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":"dc2a06837289e153f8cc40e17d10e62312534fd1af5f176d1503fc1e024461ae","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T08:32:56Z","title_canon_sha256":"498cb135db69455f91ab5fa44fc175e362c903413d0b66c9f1db07fa8eaaba12"},"schema_version":"1.0","source":{"id":"2203.07724","kind":"arxiv","version":3}},"canonical_sha256":"3242db74662bca600b0308ccd24bdf10ead1a3046f2dc72c4a3fc4e3c826acf9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3242db74662bca600b0308ccd24bdf10ead1a3046f2dc72c4a3fc4e3c826acf9","first_computed_at":"2026-07-05T04:58:15.386447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:58:15.386447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qSySn4AOSiSl8ZhAtoxx9tyrEvV158uV+bvEftURhjGxYpaURpNpk9zhmJNBhPW/Mmamqc08diO8SKhL8XBQBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:58:15.387014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.07724","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e1908b2d1fc7faa85542db067f0e0f7d862d77cc30e537f8db4056c54284cdd","sha256:3413868b0b4e7cdb3032418dc934b5511b4023a6c84abe36292e8aad22c22174"],"state_sha256":"582dadcbe715ecb6be84eae599a1cef0ef4bc24feb9cab8e939d5236362f5468"}