{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:2LTPUR4UFP6UJLH4VX6O3R6WCE","short_pith_number":"pith:2LTPUR4U","schema_version":"1.0","canonical_sha256":"d2e6fa47942bfd44acfcadfcedc7d6113d7f053537b225c588ecd58aaa24d899","source":{"kind":"arxiv","id":"2408.10908","version":1},"attestation_state":"computed","paper":{"title":"Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.RO","authors_text":"Chin-Teng Lin, Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang, Yu-Kai Wang, Zhuoli Zhuang","submitted_at":"2024-08-20T14:51:51Z","abstract_excerpt":"This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current advances in End-to-End autonomous driving normally are data-driven and rely on given expert trials. However, this reliance limits the systems' generalizability and their ability to earn human trust. Addressing this gap, our research introduces a novel approach by synchronously collecting data from human and machine drivers under identical driving scenarios, focusing on eye-tracking and brainwave data to guide machine"},"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":"2408.10908","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-08-20T14:51:51Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"be83213bcd6bcab34be06ff562a818b2d6c2cb402ae0a1a3479fb34afc51805e","abstract_canon_sha256":"5cc4b5e310fe5096fd28e83c1c1f8f9273a8141efc7a04a3ecae1431e6278a82"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:57:19.527692Z","signature_b64":"5M3JB3IUumjBCUd6fVFdcU84EwwuNC0v23dqHMFTcKfMiX/0RaI7cCLEwrC/00uOAg1N+8TOs5vMvLwPl7QoCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2e6fa47942bfd44acfcadfcedc7d6113d7f053537b225c588ecd58aaa24d899","last_reissued_at":"2026-07-05T08:57:19.527299Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:57:19.527299Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing End-to-End Autonomous Driving Systems Through Synchronized Human Behavior Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.RO","authors_text":"Chin-Teng Lin, Jinzhao Zhou, Yiqun Duan, Yu-Cheng Chang, Yu-Kai Wang, Zhuoli Zhuang","submitted_at":"2024-08-20T14:51:51Z","abstract_excerpt":"This paper presents a pioneering exploration into the integration of fine-grained human supervision within the autonomous driving domain to enhance system performance. The current advances in End-to-End autonomous driving normally are data-driven and rely on given expert trials. However, this reliance limits the systems' generalizability and their ability to earn human trust. Addressing this gap, our research introduces a novel approach by synchronously collecting data from human and machine drivers under identical driving scenarios, focusing on eye-tracking and brainwave data to guide machine"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.10908","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/2408.10908/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2408.10908","created_at":"2026-07-05T08:57:19.527367+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.10908v1","created_at":"2026-07-05T08:57:19.527367+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.10908","created_at":"2026-07-05T08:57:19.527367+00:00"},{"alias_kind":"pith_short_12","alias_value":"2LTPUR4UFP6U","created_at":"2026-07-05T08:57:19.527367+00:00"},{"alias_kind":"pith_short_16","alias_value":"2LTPUR4UFP6UJLH4","created_at":"2026-07-05T08:57:19.527367+00:00"},{"alias_kind":"pith_short_8","alias_value":"2LTPUR4U","created_at":"2026-07-05T08:57:19.527367+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/2LTPUR4UFP6UJLH4VX6O3R6WCE","json":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE.json","graph_json":"https://pith.science/api/pith-number/2LTPUR4UFP6UJLH4VX6O3R6WCE/graph.json","events_json":"https://pith.science/api/pith-number/2LTPUR4UFP6UJLH4VX6O3R6WCE/events.json","paper":"https://pith.science/paper/2LTPUR4U"},"agent_actions":{"view_html":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE","download_json":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE.json","view_paper":"https://pith.science/paper/2LTPUR4U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.10908&json=true","fetch_graph":"https://pith.science/api/pith-number/2LTPUR4UFP6UJLH4VX6O3R6WCE/graph.json","fetch_events":"https://pith.science/api/pith-number/2LTPUR4UFP6UJLH4VX6O3R6WCE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE/action/storage_attestation","attest_author":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE/action/author_attestation","sign_citation":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE/action/citation_signature","submit_replication":"https://pith.science/pith/2LTPUR4UFP6UJLH4VX6O3R6WCE/action/replication_record"}},"created_at":"2026-07-05T08:57:19.527367+00:00","updated_at":"2026-07-05T08:57:19.527367+00:00"}