{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GLE3T53EQALBQ4V7CQDM2EOPKD","short_pith_number":"pith:GLE3T53E","canonical_record":{"source":{"id":"2206.09682","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-20T09:50:30Z","cross_cats_sorted":[],"title_canon_sha256":"01fa695820eba817ccfdc582e9ce8081016e23dea7918c8327d1b35b12fe7a1c","abstract_canon_sha256":"e99f2b96ecb0dfeef67433b3ad9d41e0bce1bbc06a8914385f95204dcb184855"},"schema_version":"1.0"},"canonical_sha256":"32c9b9f76480161872bf1406cd11cf50ce465e6f4e8e9c8c956bb1500b16ad2a","source":{"kind":"arxiv","id":"2206.09682","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.09682","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"2206.09682v4","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.09682","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"GLE3T53EQALB","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"pith_short_16","alias_value":"GLE3T53EQALBQ4V7","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"pith_short_8","alias_value":"GLE3T53E","created_at":"2026-07-05T05:11:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GLE3T53EQALBQ4V7CQDM2EOPKD","target":"record","payload":{"canonical_record":{"source":{"id":"2206.09682","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-20T09:50:30Z","cross_cats_sorted":[],"title_canon_sha256":"01fa695820eba817ccfdc582e9ce8081016e23dea7918c8327d1b35b12fe7a1c","abstract_canon_sha256":"e99f2b96ecb0dfeef67433b3ad9d41e0bce1bbc06a8914385f95204dcb184855"},"schema_version":"1.0"},"canonical_sha256":"32c9b9f76480161872bf1406cd11cf50ce465e6f4e8e9c8c956bb1500b16ad2a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:40.504592Z","signature_b64":"lyBuyfaMBkKs63rP1wNbLKs4AX71Mgwcnu9ko/SUDr4g2CQsAFH00hfn2+Tx/Zm0QaC9GGqro4TKaAR7PgHhAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32c9b9f76480161872bf1406cd11cf50ce465e6f4e8e9c8c956bb1500b16ad2a","last_reissued_at":"2026-07-05T05:11:40.504133Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:40.504133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.09682","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:11:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w18yFAvN5r6TYq/Oo+fsz3taA07Di9RMuSf5mz6FXhYex0OYTAXVKoaw+9RBothrXub/ebdcQrMiSGC8gppIAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T11:03:59.746850Z"},"content_sha256":"7fe6ab10d19cfcb785cc4dfd80a84fdcc3233b5ecb437e90f869ee52da58db9a","schema_version":"1.0","event_id":"sha256:7fe6ab10d19cfcb785cc4dfd80a84fdcc3233b5ecb437e90f869ee52da58db9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GLE3T53EQALBQ4V7CQDM2EOPKD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Bo Li, Chejian Xu, Ding Zhao, Hanjiang Hu, Shuai Wang, Weijie Lyu, Wenhao Ding, Yihan He, Zuxin Liu","submitted_at":"2022-06-20T09:50:30Z","abstract_excerpt":"As shown by recent studies, machine intelligence-enabled systems are vulnerable to test cases resulting from either adversarial manipulation or natural distribution shifts. This has raised great concerns about deploying machine learning algorithms for real-world applications, especially in safety-critical domains such as autonomous driving (AD). On the other hand, traditional AD testing on naturalistic scenarios requires hundreds of millions of driving miles due to the high dimensionality and rareness of the safety-critical scenarios in the real world. As a result, several approaches for auton"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.09682","kind":"arxiv","version":4},"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/2206.09682/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:11:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pr7SpZOU7AnZuXpIkZ5sL/dxlPytjuqTlLehab0JeXtZHaoNGQufdP1rolSR6GmzvGc/v0JUcoNwNX/GYTA9BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T11:03:59.747213Z"},"content_sha256":"3a3b1c0f01fcc1301d9d7ad64cb78f1a852b70bcf5b4f92f2c85708cde02457c","schema_version":"1.0","event_id":"sha256:3a3b1c0f01fcc1301d9d7ad64cb78f1a852b70bcf5b4f92f2c85708cde02457c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GLE3T53EQALBQ4V7CQDM2EOPKD/bundle.json","state_url":"https://pith.science/pith/GLE3T53EQALBQ4V7CQDM2EOPKD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GLE3T53EQALBQ4V7CQDM2EOPKD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-14T11:03:59Z","links":{"resolver":"https://pith.science/pith/GLE3T53EQALBQ4V7CQDM2EOPKD","bundle":"https://pith.science/pith/GLE3T53EQALBQ4V7CQDM2EOPKD/bundle.json","state":"https://pith.science/pith/GLE3T53EQALBQ4V7CQDM2EOPKD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GLE3T53EQALBQ4V7CQDM2EOPKD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GLE3T53EQALBQ4V7CQDM2EOPKD","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":"e99f2b96ecb0dfeef67433b3ad9d41e0bce1bbc06a8914385f95204dcb184855","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-20T09:50:30Z","title_canon_sha256":"01fa695820eba817ccfdc582e9ce8081016e23dea7918c8327d1b35b12fe7a1c"},"schema_version":"1.0","source":{"id":"2206.09682","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.09682","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"2206.09682v4","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.09682","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"GLE3T53EQALB","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"pith_short_16","alias_value":"GLE3T53EQALBQ4V7","created_at":"2026-07-05T05:11:40Z"},{"alias_kind":"pith_short_8","alias_value":"GLE3T53E","created_at":"2026-07-05T05:11:40Z"}],"graph_snapshots":[{"event_id":"sha256:3a3b1c0f01fcc1301d9d7ad64cb78f1a852b70bcf5b4f92f2c85708cde02457c","target":"graph","created_at":"2026-07-05T05:11:40Z","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/2206.09682/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As shown by recent studies, machine intelligence-enabled systems are vulnerable to test cases resulting from either adversarial manipulation or natural distribution shifts. This has raised great concerns about deploying machine learning algorithms for real-world applications, especially in safety-critical domains such as autonomous driving (AD). On the other hand, traditional AD testing on naturalistic scenarios requires hundreds of millions of driving miles due to the high dimensionality and rareness of the safety-critical scenarios in the real world. As a result, several approaches for auton","authors_text":"Bo Li, Chejian Xu, Ding Zhao, Hanjiang Hu, Shuai Wang, Weijie Lyu, Wenhao Ding, Yihan He, Zuxin Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-20T09:50:30Z","title":"SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.09682","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":"sha256:7fe6ab10d19cfcb785cc4dfd80a84fdcc3233b5ecb437e90f869ee52da58db9a","target":"record","created_at":"2026-07-05T05:11:40Z","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":"e99f2b96ecb0dfeef67433b3ad9d41e0bce1bbc06a8914385f95204dcb184855","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-06-20T09:50:30Z","title_canon_sha256":"01fa695820eba817ccfdc582e9ce8081016e23dea7918c8327d1b35b12fe7a1c"},"schema_version":"1.0","source":{"id":"2206.09682","kind":"arxiv","version":4}},"canonical_sha256":"32c9b9f76480161872bf1406cd11cf50ce465e6f4e8e9c8c956bb1500b16ad2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32c9b9f76480161872bf1406cd11cf50ce465e6f4e8e9c8c956bb1500b16ad2a","first_computed_at":"2026-07-05T05:11:40.504133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:40.504133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lyBuyfaMBkKs63rP1wNbLKs4AX71Mgwcnu9ko/SUDr4g2CQsAFH00hfn2+Tx/Zm0QaC9GGqro4TKaAR7PgHhAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:40.504592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.09682","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fe6ab10d19cfcb785cc4dfd80a84fdcc3233b5ecb437e90f869ee52da58db9a","sha256:3a3b1c0f01fcc1301d9d7ad64cb78f1a852b70bcf5b4f92f2c85708cde02457c"],"state_sha256":"308f10d07389b4a92ef19a3ff43bb9649b818c1eee64b8fa5d37d703b2baeb6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yt04uT4uErka7FknXI3551ulAemaNkDja9wFKbiANdg78SIx2r2OKy4d37nkhN7+p1iwH9PmhV7HqNH/eMPDCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T11:03:59.749765Z","bundle_sha256":"17715bf63dcd130154c884c1c1ed3eecbab04974c056ef37dff9ef8794f2cffd"}}