{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:CE6TBJSK3CDNFWVATIAXNTFWVP","short_pith_number":"pith:CE6TBJSK","schema_version":"1.0","canonical_sha256":"113d30a64ad886d2daa09a0176ccb6abd9759eb65cd3049d3f735734e79b5d49","source":{"kind":"arxiv","id":"1705.05219","version":2},"attestation_state":"computed","paper":{"title":"Annotation of Car Trajectories based on Driving Patterns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.OH","authors_text":"Behrooz Omidvar-Tehrani, Rajiv Ramnath, R. Bruce Craig, Sobhan Moosavi","submitted_at":"2017-05-15T13:30:36Z","abstract_excerpt":"Nowadays, the ubiquity of various sensors enables the collection of voluminous datasets of car trajectories. Such datasets enable analysts to make sense of driving patterns and behaviors: in order to understand the behavior of drivers, one approach is to break a trajectory into its underlying patterns and then analyze that trajectory in terms of derived patterns. The process of trajectory segmentation is a function of various resources including a set of ground truth trajectories with their driving patterns. To the best of our knowledge, no such ground-truth dataset exists in the literature. I"},"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":"1705.05219","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2017-05-15T13:30:36Z","cross_cats_sorted":[],"title_canon_sha256":"82b3b648c55220fe4f1883dac724af552b049bd8de86ffe4cf432635d6cfc28a","abstract_canon_sha256":"641331b24ea61b81e1958b2046d4ec064cc47abbbf067eb598ff620b828f93c8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:22.870702Z","signature_b64":"5/+N+Hy6OFxEt1r1g5/YPQo+qUDD8NfZpxYbnekf/Lwsh1Xoc8UveO0WF4d3rtib0VjMDKUOnRIDMlAjuY67BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"113d30a64ad886d2daa09a0176ccb6abd9759eb65cd3049d3f735734e79b5d49","last_reissued_at":"2026-05-18T00:44:22.870267Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:22.870267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Annotation of Car Trajectories based on Driving Patterns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.OH","authors_text":"Behrooz Omidvar-Tehrani, Rajiv Ramnath, R. Bruce Craig, Sobhan Moosavi","submitted_at":"2017-05-15T13:30:36Z","abstract_excerpt":"Nowadays, the ubiquity of various sensors enables the collection of voluminous datasets of car trajectories. Such datasets enable analysts to make sense of driving patterns and behaviors: in order to understand the behavior of drivers, one approach is to break a trajectory into its underlying patterns and then analyze that trajectory in terms of derived patterns. The process of trajectory segmentation is a function of various resources including a set of ground truth trajectories with their driving patterns. To the best of our knowledge, no such ground-truth dataset exists in the literature. I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.05219","kind":"arxiv","version":2},"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":"1705.05219","created_at":"2026-05-18T00:44:22.870327+00:00"},{"alias_kind":"arxiv_version","alias_value":"1705.05219v2","created_at":"2026-05-18T00:44:22.870327+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.05219","created_at":"2026-05-18T00:44:22.870327+00:00"},{"alias_kind":"pith_short_12","alias_value":"CE6TBJSK3CDN","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_16","alias_value":"CE6TBJSK3CDNFWVA","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_8","alias_value":"CE6TBJSK","created_at":"2026-05-18T12:31:10.602751+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/CE6TBJSK3CDNFWVATIAXNTFWVP","json":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP.json","graph_json":"https://pith.science/api/pith-number/CE6TBJSK3CDNFWVATIAXNTFWVP/graph.json","events_json":"https://pith.science/api/pith-number/CE6TBJSK3CDNFWVATIAXNTFWVP/events.json","paper":"https://pith.science/paper/CE6TBJSK"},"agent_actions":{"view_html":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP","download_json":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP.json","view_paper":"https://pith.science/paper/CE6TBJSK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1705.05219&json=true","fetch_graph":"https://pith.science/api/pith-number/CE6TBJSK3CDNFWVATIAXNTFWVP/graph.json","fetch_events":"https://pith.science/api/pith-number/CE6TBJSK3CDNFWVATIAXNTFWVP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP/action/storage_attestation","attest_author":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP/action/author_attestation","sign_citation":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP/action/citation_signature","submit_replication":"https://pith.science/pith/CE6TBJSK3CDNFWVATIAXNTFWVP/action/replication_record"}},"created_at":"2026-05-18T00:44:22.870327+00:00","updated_at":"2026-05-18T00:44:22.870327+00:00"}