{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:S474QUZIU5TIIZJAMS4IP5KZQI","short_pith_number":"pith:S474QUZI","canonical_record":{"source":{"id":"2110.08664","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-10-16T21:24:19Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"title_canon_sha256":"2f94ff0e694a9ea9a82dc4528f16e0927f8385b853be64d39a4004ada9c59c9f","abstract_canon_sha256":"e45b467bf1b5dfa97506814cb2bb275f3495e165589f987cf2697fff74d36223"},"schema_version":"1.0"},"canonical_sha256":"973fc85328a76684652064b887f559822de5519daa7ca5703358c65c504b28b0","source":{"kind":"arxiv","id":"2110.08664","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.08664","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"arxiv_version","alias_value":"2110.08664v1","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.08664","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"pith_short_12","alias_value":"S474QUZIU5TI","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"pith_short_16","alias_value":"S474QUZIU5TIIZJA","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"pith_short_8","alias_value":"S474QUZI","created_at":"2026-07-05T03:23:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:S474QUZIU5TIIZJAMS4IP5KZQI","target":"record","payload":{"canonical_record":{"source":{"id":"2110.08664","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-10-16T21:24:19Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"title_canon_sha256":"2f94ff0e694a9ea9a82dc4528f16e0927f8385b853be64d39a4004ada9c59c9f","abstract_canon_sha256":"e45b467bf1b5dfa97506814cb2bb275f3495e165589f987cf2697fff74d36223"},"schema_version":"1.0"},"canonical_sha256":"973fc85328a76684652064b887f559822de5519daa7ca5703358c65c504b28b0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:23:19.114242Z","signature_b64":"/9337KMXW2U6hyJqdFjj6yD8XuYNBOMLAFwsb9XSpAOO0Dqraqw8Sx5i8iG1urhgTIA04X4IJy+1M/wM3efkAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"973fc85328a76684652064b887f559822de5519daa7ca5703358c65c504b28b0","last_reissued_at":"2026-07-05T03:23:19.113837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:23:19.113837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.08664","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:23:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3XGTrt9tRiBnzpofX2UeIbv/h8kYMT6o/BE9qRGIULIM0BPenxocCS7vSLOPL09vOOo0yf/sF2VBlTtw2jABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:58:01.338792Z"},"content_sha256":"8b1838f173c5f396bc061701a1abac72fc10735f1f93ecbdff9f50ce36157f39","schema_version":"1.0","event_id":"sha256:8b1838f173c5f396bc061701a1abac72fc10735f1f93ecbdff9f50ce36157f39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:S474QUZIU5TIIZJAMS4IP5KZQI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SY","eess.SY"],"primary_cat":"cs.SE","authors_text":"Franz Wotawa, Hermann Felbinger, Jianbo Tao, Jos\\'e Manuel Gaspar S\\'anchez, Kaige Tan, Magnus Gyllenhammar, Martin T\\\"orngren, Mihai Nica, Muhammad Rusyadi Ramli, Naveen Mohan, Xinhai Zhang, Xin Tao","submitted_at":"2021-10-16T21:24:19Z","abstract_excerpt":"Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driving environment, and the complexity of the driving task itself, the number of possible driving scenarios that an ADS or ADAS may encounter is virtually infinite. Therefore it is essential to be able to reason about the identification of scenarios and in particular critical ones that may impose unacceptable risk if not considered. Critical scenarios are particularly important to support design, verification and valida"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.08664","kind":"arxiv","version":1},"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/2110.08664/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":"2026-07-05T03:23:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QAfOnGdFX/IiJ9bt8BQG9YKLO3TR/m5kPn/XRZT3806tXsLk9xl0Cy/6mvA2kmFkvDciz5T4kEJNMCjas6BmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:58:01.339304Z"},"content_sha256":"674e82f106ca74e6cdf720b2567c3af839ae0a9a12dc9c20c7f4139a19c3a13f","schema_version":"1.0","event_id":"sha256:674e82f106ca74e6cdf720b2567c3af839ae0a9a12dc9c20c7f4139a19c3a13f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S474QUZIU5TIIZJAMS4IP5KZQI/bundle.json","state_url":"https://pith.science/pith/S474QUZIU5TIIZJAMS4IP5KZQI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S474QUZIU5TIIZJAMS4IP5KZQI/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":"2026-08-09T07:58:01Z","links":{"resolver":"https://pith.science/pith/S474QUZIU5TIIZJAMS4IP5KZQI","bundle":"https://pith.science/pith/S474QUZIU5TIIZJAMS4IP5KZQI/bundle.json","state":"https://pith.science/pith/S474QUZIU5TIIZJAMS4IP5KZQI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S474QUZIU5TIIZJAMS4IP5KZQI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:S474QUZIU5TIIZJAMS4IP5KZQI","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":"e45b467bf1b5dfa97506814cb2bb275f3495e165589f987cf2697fff74d36223","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-10-16T21:24:19Z","title_canon_sha256":"2f94ff0e694a9ea9a82dc4528f16e0927f8385b853be64d39a4004ada9c59c9f"},"schema_version":"1.0","source":{"id":"2110.08664","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.08664","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"arxiv_version","alias_value":"2110.08664v1","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.08664","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"pith_short_12","alias_value":"S474QUZIU5TI","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"pith_short_16","alias_value":"S474QUZIU5TIIZJA","created_at":"2026-07-05T03:23:19Z"},{"alias_kind":"pith_short_8","alias_value":"S474QUZI","created_at":"2026-07-05T03:23:19Z"}],"graph_snapshots":[{"event_id":"sha256:674e82f106ca74e6cdf720b2567c3af839ae0a9a12dc9c20c7f4139a19c3a13f","target":"graph","created_at":"2026-07-05T03:23:19Z","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/2110.08664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driving environment, and the complexity of the driving task itself, the number of possible driving scenarios that an ADS or ADAS may encounter is virtually infinite. Therefore it is essential to be able to reason about the identification of scenarios and in particular critical ones that may impose unacceptable risk if not considered. Critical scenarios are particularly important to support design, verification and valida","authors_text":"Franz Wotawa, Hermann Felbinger, Jianbo Tao, Jos\\'e Manuel Gaspar S\\'anchez, Kaige Tan, Magnus Gyllenhammar, Martin T\\\"orngren, Mihai Nica, Muhammad Rusyadi Ramli, Naveen Mohan, Xinhai Zhang, Xin Tao","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-10-16T21:24:19Z","title":"Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.08664","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":"sha256:8b1838f173c5f396bc061701a1abac72fc10735f1f93ecbdff9f50ce36157f39","target":"record","created_at":"2026-07-05T03:23:19Z","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":"e45b467bf1b5dfa97506814cb2bb275f3495e165589f987cf2697fff74d36223","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2021-10-16T21:24:19Z","title_canon_sha256":"2f94ff0e694a9ea9a82dc4528f16e0927f8385b853be64d39a4004ada9c59c9f"},"schema_version":"1.0","source":{"id":"2110.08664","kind":"arxiv","version":1}},"canonical_sha256":"973fc85328a76684652064b887f559822de5519daa7ca5703358c65c504b28b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"973fc85328a76684652064b887f559822de5519daa7ca5703358c65c504b28b0","first_computed_at":"2026-07-05T03:23:19.113837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:23:19.113837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/9337KMXW2U6hyJqdFjj6yD8XuYNBOMLAFwsb9XSpAOO0Dqraqw8Sx5i8iG1urhgTIA04X4IJy+1M/wM3efkAw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:23:19.114242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.08664","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b1838f173c5f396bc061701a1abac72fc10735f1f93ecbdff9f50ce36157f39","sha256:674e82f106ca74e6cdf720b2567c3af839ae0a9a12dc9c20c7f4139a19c3a13f"],"state_sha256":"890269aaa805c9845ebc51796611170d4de96c30a5f670d6dce15aeb2bbe927e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sneZChPEK7NQYrhjH8D8LJHu0zx46XN+DM+9ydrracMbgmMerB/8Zqt0tbcqEQ8ZAzZ2+f5HeoejEWJ4wB9nAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:58:01.344904Z","bundle_sha256":"b19695f4e4ad77028dc4b10ab7c3ee4ccd08b18c9dd94f5b23e9af27a0135fe5"}}