{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PQX7Z6AMFSEBXIQ7IBHAXP5UDP","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":"bca05632916690f4256953a4f628711f78a3249fcf388be6c89f000a10204846","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-11-28T03:13:09Z","title_canon_sha256":"6fbd27ff12804c4b985b5dc0215436c7184ceeb89cf4c8ee6a84d11a7f12d848"},"schema_version":"1.0","source":{"id":"2312.00812","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.00812","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"arxiv_version","alias_value":"2312.00812v4","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00812","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_12","alias_value":"PQX7Z6AMFSEB","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_16","alias_value":"PQX7Z6AMFSEBXIQ7","created_at":"2026-07-05T07:59:19Z"},{"alias_kind":"pith_short_8","alias_value":"PQX7Z6AM","created_at":"2026-07-05T07:59:19Z"}],"graph_snapshots":[{"event_id":"sha256:c4416c581d2d25d40d19e8ac2236dd34802417b6ce59c0f9918eb4e67724388b","target":"graph","created_at":"2026-07-05T07:59:19Z","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/2312.00812/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autonomous Driving (AD) encounters significant safety hurdles in long-tail unforeseen driving scenarios, largely stemming from the non-interpretability and poor generalization of the deep neural networks within the AD system, particularly in out-of-distribution and uncertain data. To this end, this paper explores the integration of Large Language Models (LLMs) into AD systems, leveraging their robust common-sense knowledge and reasoning abilities. The proposed methodologies employ LLMs as intelligent decision-makers in behavioral planning, augmented with a safety verifier shield for contextual","authors_text":"Chao Huang, Chengtian Lang, Qi Zhu, Ruochen Jiao, Sinong Simon Zhan, Yixuan Wang, Zhaoran Wang, Zhuoran Yang","cross_cats":["cs.LG","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-11-28T03:13:09Z","title":"Empowering Autonomous Driving with Large Language Models: A Safety Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00812","kind":"arxiv","version":4},"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":"sha256:9e944a7b00be909d0c3aa2f7530e75cfc9eceddd7564fa14722a800f84eb2d8c","target":"record","created_at":"2026-07-05T07:59:19Z","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":"bca05632916690f4256953a4f628711f78a3249fcf388be6c89f000a10204846","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-11-28T03:13:09Z","title_canon_sha256":"6fbd27ff12804c4b985b5dc0215436c7184ceeb89cf4c8ee6a84d11a7f12d848"},"schema_version":"1.0","source":{"id":"2312.00812","kind":"arxiv","version":4}},"canonical_sha256":"7c2ffcf80c2c881ba21f404e0bbfb41be004073ed52d855c38416e9ba2de1b38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c2ffcf80c2c881ba21f404e0bbfb41be004073ed52d855c38416e9ba2de1b38","first_computed_at":"2026-07-05T07:59:19.899096Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:19.899096Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MozzUWwjL8dW1yOEuFlkb3WOxG/KhfZfeKTDYYQBMNYgmFAgg3K1ElpwjqgbDckeZ+IqxI3jXfU8MOHpY4oDBg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:19.899634Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.00812","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e944a7b00be909d0c3aa2f7530e75cfc9eceddd7564fa14722a800f84eb2d8c","sha256:c4416c581d2d25d40d19e8ac2236dd34802417b6ce59c0f9918eb4e67724388b"],"state_sha256":"533926659669bdd83df76cd2f6817d6787e7b49242e8f5dae753800cdf451fd9"}