{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:7FUAJ2GDFGOIXDKSSORXKWDCBI","short_pith_number":"pith:7FUAJ2GD","schema_version":"1.0","canonical_sha256":"f96804e8c3299c8b8d5293a37558620a17b68439d54385850c1840ac9b300d2c","source":{"kind":"arxiv","id":"1701.08915","version":1},"attestation_state":"computed","paper":{"title":"Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.SY","authors_text":"David J. LeBlanc, Ding Zhao, Henry Lam, Zhiyuan Huang","submitted_at":"2017-01-31T04:46:33Z","abstract_excerpt":"The process to certify highly Automated Vehicles has not yet been defined by any country in the world. Currently, companies test Automated Vehicles on public roads, which is time-consuming and inefficient. We proposed the Accelerated Evaluation concept, which uses a modified statistics of the surrounding vehicles and the Importance Sampling theory to reduce the evaluation time by several orders of magnitude, while ensuring the evaluation results are statistically accurate. In this paper, we further improve the accelerated evaluation concept by using Piecewise Mixture Distribution models, inste"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1701.08915","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-01-31T04:46:33Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"c88f6359bba1ab5d9e3ee0c1a1d5dec62c938e61f5be6812da885a0a035ae0bb","abstract_canon_sha256":"c9e3987b81d8d774c717bcee60c9e3c362e27ddf7e7590f35ea0f3752e6bbaa9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:38.912387Z","signature_b64":"NpJwu0HMv8fzXbxRZSMbfikiLQ/Tsn4Xe8Ebq78PG5WCPBFGwRYrp4yOijO1Xj/DRGgH52RmwVJ9gJV/l/+vBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f96804e8c3299c8b8d5293a37558620a17b68439d54385850c1840ac9b300d2c","last_reissued_at":"2026-05-18T00:51:38.911956Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:38.911956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.SY","authors_text":"David J. LeBlanc, Ding Zhao, Henry Lam, Zhiyuan Huang","submitted_at":"2017-01-31T04:46:33Z","abstract_excerpt":"The process to certify highly Automated Vehicles has not yet been defined by any country in the world. Currently, companies test Automated Vehicles on public roads, which is time-consuming and inefficient. We proposed the Accelerated Evaluation concept, which uses a modified statistics of the surrounding vehicles and the Importance Sampling theory to reduce the evaluation time by several orders of magnitude, while ensuring the evaluation results are statistically accurate. In this paper, we further improve the accelerated evaluation concept by using Piecewise Mixture Distribution models, inste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.08915","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1701.08915","created_at":"2026-05-18T00:51:38.912019+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.08915v1","created_at":"2026-05-18T00:51:38.912019+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.08915","created_at":"2026-05-18T00:51:38.912019+00:00"},{"alias_kind":"pith_short_12","alias_value":"7FUAJ2GDFGOI","created_at":"2026-05-18T12:31:05.417338+00:00"},{"alias_kind":"pith_short_16","alias_value":"7FUAJ2GDFGOIXDKS","created_at":"2026-05-18T12:31:05.417338+00:00"},{"alias_kind":"pith_short_8","alias_value":"7FUAJ2GD","created_at":"2026-05-18T12:31:05.417338+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI","json":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI.json","graph_json":"https://pith.science/api/pith-number/7FUAJ2GDFGOIXDKSSORXKWDCBI/graph.json","events_json":"https://pith.science/api/pith-number/7FUAJ2GDFGOIXDKSSORXKWDCBI/events.json","paper":"https://pith.science/paper/7FUAJ2GD"},"agent_actions":{"view_html":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI","download_json":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI.json","view_paper":"https://pith.science/paper/7FUAJ2GD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.08915&json=true","fetch_graph":"https://pith.science/api/pith-number/7FUAJ2GDFGOIXDKSSORXKWDCBI/graph.json","fetch_events":"https://pith.science/api/pith-number/7FUAJ2GDFGOIXDKSSORXKWDCBI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI/action/storage_attestation","attest_author":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI/action/author_attestation","sign_citation":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI/action/citation_signature","submit_replication":"https://pith.science/pith/7FUAJ2GDFGOIXDKSSORXKWDCBI/action/replication_record"}},"created_at":"2026-05-18T00:51:38.912019+00:00","updated_at":"2026-05-18T00:51:38.912019+00:00"}