{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:CATFRM25NWHPN5YFZDR5WYND3I","short_pith_number":"pith:CATFRM25","schema_version":"1.0","canonical_sha256":"102658b35d6d8ef6f705c8e3db61a3da2ae029db9e1bda451f0a6b3e2182f975","source":{"kind":"arxiv","id":"2409.04738","version":1},"attestation_state":"computed","paper":{"title":"Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.RO","authors_text":"Abhijat Biswas, Guy Rosman, John Gideon, Kimimasa Tamura","submitted_at":"2024-09-07T07:02:06Z","abstract_excerpt":"Advanced Driver Assistance Systems (ADAS) alert drivers during safety-critical scenarios but often provide superfluous alerts due to a lack of consideration for drivers' knowledge or scene awareness. Modeling these aspects together in a data-driven way is challenging due to the scarcity of critical scenario data with in-cabin driver state and world state recorded together. We explore the benefits of driver modeling in the context of Forward Collision Warning (FCW) systems. Working with real-world video dataset of on-road FCW deployments, we collect observers' subjective validity rating of the "},"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":"2409.04738","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2024-09-07T07:02:06Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"5ad0d34ae8083e2229ca7780ce9208b529beb4cb223098c4eaa835700a5a1585","abstract_canon_sha256":"cd85e0db3611c1afd0a0c23e5e02974a7fabb5c25f5b8f065f80a0b6d84a4f16"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:04:17.250854Z","signature_b64":"lFY63uv9pjOIH3wNtNldxL72N5W2AIsATjxdIqfnkHhVGxk5qRRMGpefc1qVZpSYMcQTYw/HHYKu/u33SxZ3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"102658b35d6d8ef6f705c8e3db61a3da2ae029db9e1bda451f0a6b3e2182f975","last_reissued_at":"2026-07-05T09:04:17.250439Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:04:17.250439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.RO","authors_text":"Abhijat Biswas, Guy Rosman, John Gideon, Kimimasa Tamura","submitted_at":"2024-09-07T07:02:06Z","abstract_excerpt":"Advanced Driver Assistance Systems (ADAS) alert drivers during safety-critical scenarios but often provide superfluous alerts due to a lack of consideration for drivers' knowledge or scene awareness. Modeling these aspects together in a data-driven way is challenging due to the scarcity of critical scenario data with in-cabin driver state and world state recorded together. We explore the benefits of driver modeling in the context of Forward Collision Warning (FCW) systems. Working with real-world video dataset of on-road FCW deployments, we collect observers' subjective validity rating of the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.04738","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/2409.04738/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":"2409.04738","created_at":"2026-07-05T09:04:17.250497+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.04738v1","created_at":"2026-07-05T09:04:17.250497+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.04738","created_at":"2026-07-05T09:04:17.250497+00:00"},{"alias_kind":"pith_short_12","alias_value":"CATFRM25NWHP","created_at":"2026-07-05T09:04:17.250497+00:00"},{"alias_kind":"pith_short_16","alias_value":"CATFRM25NWHPN5YF","created_at":"2026-07-05T09:04:17.250497+00:00"},{"alias_kind":"pith_short_8","alias_value":"CATFRM25","created_at":"2026-07-05T09:04:17.250497+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.17841","citing_title":"Driving risk emerges from the required two-dimensional joint evasive acceleration","ref_index":35,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I","json":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I.json","graph_json":"https://pith.science/api/pith-number/CATFRM25NWHPN5YFZDR5WYND3I/graph.json","events_json":"https://pith.science/api/pith-number/CATFRM25NWHPN5YFZDR5WYND3I/events.json","paper":"https://pith.science/paper/CATFRM25"},"agent_actions":{"view_html":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I","download_json":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I.json","view_paper":"https://pith.science/paper/CATFRM25","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.04738&json=true","fetch_graph":"https://pith.science/api/pith-number/CATFRM25NWHPN5YFZDR5WYND3I/graph.json","fetch_events":"https://pith.science/api/pith-number/CATFRM25NWHPN5YFZDR5WYND3I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I/action/storage_attestation","attest_author":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I/action/author_attestation","sign_citation":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I/action/citation_signature","submit_replication":"https://pith.science/pith/CATFRM25NWHPN5YFZDR5WYND3I/action/replication_record"}},"created_at":"2026-07-05T09:04:17.250497+00:00","updated_at":"2026-07-05T09:04:17.250497+00:00"}