{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JGVKJLEEHCWDUKGRDITRZ6MA7S","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":"53d7aee46203d585a4f2ab4266a360fa4a45a97fb75dc3f5e33a5b8f7a82b913","cross_cats_sorted":["cs.ET","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-17T16:45:27Z","title_canon_sha256":"faa8ba2d5508666fdcdbdc098dbf4d03c6c4d181fd6576d7e7231dfd691a35b8"},"schema_version":"1.0","source":{"id":"2412.13238","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13238","created_at":"2026-07-05T09:51:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13238v2","created_at":"2026-07-05T09:51:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13238","created_at":"2026-07-05T09:51:40Z"},{"alias_kind":"pith_short_12","alias_value":"JGVKJLEEHCWD","created_at":"2026-07-05T09:51:40Z"},{"alias_kind":"pith_short_16","alias_value":"JGVKJLEEHCWDUKGR","created_at":"2026-07-05T09:51:40Z"},{"alias_kind":"pith_short_8","alias_value":"JGVKJLEE","created_at":"2026-07-05T09:51:40Z"}],"graph_snapshots":[{"event_id":"sha256:90fcecfe834d3a0f2d9657404c8d9be0242cd5a1910649b86f1d80f8ad41e43a","target":"graph","created_at":"2026-07-05T09:51:40Z","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/2412.13238/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in autonomous vehicles (AVs) use Large Language Models (LLMs) to perform well in normal driving scenarios. However, ensuring safety in dynamic, high-risk environments and managing safety-critical long-tail events remain significant challenges. To address these issues, we propose SafeDrive, a knowledge- and data-driven risk-sensitive decision-making framework to enhance AV safety and adaptability. The proposed framework introduces a modular system comprising: (1) a Risk Module for quantifying multi-factor coupled risks involving driver, vehicle, and road interactions; (2) a ","authors_text":"Boqi Li, Heye Huang, Jianqiang Wang, Shiyue Zhao, Yao Mu, Zhiyuan Zhou","cross_cats":["cs.ET","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-17T16:45:27Z","title":"SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13238","kind":"arxiv","version":2},"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":"sha256:7cdb144b4eb30c5abc150715ab59b7c51689776a76338014a91d217ad5ebec93","target":"record","created_at":"2026-07-05T09:51:40Z","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":"53d7aee46203d585a4f2ab4266a360fa4a45a97fb75dc3f5e33a5b8f7a82b913","cross_cats_sorted":["cs.ET","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-17T16:45:27Z","title_canon_sha256":"faa8ba2d5508666fdcdbdc098dbf4d03c6c4d181fd6576d7e7231dfd691a35b8"},"schema_version":"1.0","source":{"id":"2412.13238","kind":"arxiv","version":2}},"canonical_sha256":"49aaa4ac8438ac3a28d11a271cf980fc936ed19da37853a9a4a42a4800ad44ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49aaa4ac8438ac3a28d11a271cf980fc936ed19da37853a9a4a42a4800ad44ce","first_computed_at":"2026-07-05T09:51:40.490948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:40.490948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kE1CeDKd2V76kY+YG2nZG6qcdZ1tEzfAV/Of3lLAWbBNWn/1hvDfhcweb3F8UGvcAyKqeXfiFKGtVfOa9xxoDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:40.491432Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13238","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cdb144b4eb30c5abc150715ab59b7c51689776a76338014a91d217ad5ebec93","sha256:90fcecfe834d3a0f2d9657404c8d9be0242cd5a1910649b86f1d80f8ad41e43a"],"state_sha256":"c8a34f2205852c723ee4ee0f77d5d199e69063ee0b30a029bed8fa28160f9138"}