{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FETNP6H2NRWWXSLILVBWYHSJ5W","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":"f20ee8567a06dc32a59adc4faeaeb4f6eb53476856f97b896eaa8d085e41fbe6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-07-12T09:28:25Z","title_canon_sha256":"b006052e3526abd72036860e1a4d03bee717eb97304ec693382429f6117e36ab"},"schema_version":"1.0","source":{"id":"2107.05278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.05278","created_at":"2026-07-05T08:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"2107.05278v1","created_at":"2026-07-05T08:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.05278","created_at":"2026-07-05T08:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"FETNP6H2NRWW","created_at":"2026-07-05T08:59:21Z"},{"alias_kind":"pith_short_16","alias_value":"FETNP6H2NRWWXSLI","created_at":"2026-07-05T08:59:21Z"},{"alias_kind":"pith_short_8","alias_value":"FETNP6H2","created_at":"2026-07-05T08:59:21Z"}],"graph_snapshots":[{"event_id":"sha256:25e5c595f6432c34d28685b174ed9fc83bf27b48de5ed43a3d1b0b481d9b0aa0","target":"graph","created_at":"2026-07-05T08:59:21Z","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/2107.05278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The safety assessment of automated vehicles (AVs) is an important aspect of the development cycle of AVs. A scenario-based assessment approach is accepted by many players in the field as part of the complete safety assessment. A scenario is a representation of a situation on the road to which the AV needs to respond appropriately. One way to generate the required scenario-based test descriptions is to parameterize the scenarios and to draw these parameters from a probability density function (pdf). Because the shape of the pdf is unknown beforehand, assuming a functional form of the pdf and fi","authors_text":"Bart De Schutter, Eric Cator, Erwin de Gelder, Jan-Pieter Paardekooper, Olaf Op den Camp","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-07-12T09:28:25Z","title":"Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.05278","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:d18fbe9bcd3cc25f4e17442888d25db87a995622671741e08adb2b3be89c68a3","target":"record","created_at":"2026-07-05T08:59:21Z","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":"f20ee8567a06dc32a59adc4faeaeb4f6eb53476856f97b896eaa8d085e41fbe6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2021-07-12T09:28:25Z","title_canon_sha256":"b006052e3526abd72036860e1a4d03bee717eb97304ec693382429f6117e36ab"},"schema_version":"1.0","source":{"id":"2107.05278","kind":"arxiv","version":1}},"canonical_sha256":"2926d7f8fa6c6d6bc9685d436c1e49edb0206bfd8bb854a24a641a7996fad528","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2926d7f8fa6c6d6bc9685d436c1e49edb0206bfd8bb854a24a641a7996fad528","first_computed_at":"2026-07-05T08:59:21.677693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:21.677693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8/ghBH1QjHQLHvVkq8zDUC+CVfH8nKY6Ixgc2R0/wcTmb7RHV8r3v0JLWigpZmr75hILFWz93emuvk5Lr88VCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:21.678170Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.05278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d18fbe9bcd3cc25f4e17442888d25db87a995622671741e08adb2b3be89c68a3","sha256:25e5c595f6432c34d28685b174ed9fc83bf27b48de5ed43a3d1b0b481d9b0aa0"],"state_sha256":"d53185c570dfbb482bfe9124b3a94c9e5387c574ed04ca76f9abca4e2d68e035"}