Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:13:25.037219Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2510.06717.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:13:25.037219Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T13:21:51.059859Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T05:17:40.102925Z
69 of 69 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4ed325d5-27e0-4bff-bf21-b0f742580b11 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis A survey of motion planning and control techniques for self-driving urban vehicles,
Reference 1
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Observation ac188b6e-9b84-449a-9ef4-263cd5834290 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Safe reinforcement learning for autonomous lane changing using set-based prediction,
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Observation 2504de10-3b04-40e9-a846-4cabfec0b94f · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis A survey on multimodal large language models for autonomous driving,
Reference 3
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Observation f050fadc-8ffa-45f0-8369-b0c164da5d6b · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis A survey on large language model based autonomous agents,
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Observation 00ca5bae-fa37-4b3d-b12f-4692243471f9 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis SurrealDriver: Designing LLM-powered generative driver agent framework based on human drivers’ driving-thinking data,
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Observation f17c763d-2a5f-4c90-9717-50ac125959a7 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via LLM,
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Observation b55250b0-1c32-482d-9cf0-1558c791b8a0 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis DiLu: A knowledge-driven approach to autonomous driving with large language models,
Reference 7
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Observation df1b778f-b99e-4bda-ba4f-0d25b7114b24 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Reflexion: Language agents with verbal reinforcement learning,
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Observation badadd5e-14d1-426c-85ad-26073a3a6094 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis KoMa: Knowledge-driven multi-agent framework for autonomous driving with large language models,
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Observation 31103039-6d3c-4723-b375-141d1199142c · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
Reference 10
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Observation 8b3412fe-f4a1-42fb-9d24-51b01d95eaf3 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving
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Observation 6d2e97c2-2dac-43dd-ab35-7a9def53b3b0 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis PADriver: Towards Personalized Autonomous Driving
Reference 12
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Observation eee7126d-5339-4da4-9913-349d3e5b010d · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis DriveMLM: Aligning multi-modal large language models with behavioral planning states for autonomous driving,
Reference 13
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Observation e7bef602-145d-4996-810b-82add202421b · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis GPT-Driver: Learning to Drive with GPT
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Observation 6d03ac03-aea6-45f6-8fc8-4c223beb8c09 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis DriveLM: Driving with graph visual question answering,
Reference 15
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Observation 78dcef32-e5b3-4912-a9c3-3e0eb03d240b · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis LMDrive: Closed-loop end-to-end driving with large language models,
Reference 16
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Observation 783251e7-9234-455f-b50e-19312c9cc7b6 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis DrPlanner: Diagnosis and repair of motion planners for automated vehicles using large language models,
Reference 17
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Observation 95964437-27b0-419b-901b-bbcdb4e189b6 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Enhancing autonomous driving systems with on-board deployed large language models,
Reference 18
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Observation 42770307-bafe-4600-937f-9168bd6b8d51 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Reference 19
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Observation 2441212a-db1e-4385-b2e2-12a916fbcfb4 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Personalized autonomous driving with large language models: Field experiments,
Reference 20
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Observation ee7131c3-eee5-4372-87a2-49ceee3a2a1c · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Driving with LLMs: Fusing object- level vector modality for explainable autonomous driving,
Reference 21
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Observation b9d64da3-081d-411a-9dbf-bea24b1f9b50 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis DriveGPT4: Interpretable end-to-end autonomous driving via large language model,
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Observation 13bc246f-c18d-4240-b122-604bc82e4f93 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Drive as you speak: En- abling human-like interaction with large language models in autonomous vehicles,
Reference 23
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Observation 7453ec29-2bad-44a6-9481-ed5dbe850428 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Traffic regulation-aware path planning with regulation databases and vision-language models,
Reference 24
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Observation 8534a76b-fd96-45e0-b7d5-11f56b22910d · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis EMMA: End-to-End Multimodal Model for Autonomous Driving
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Observation 7e95ec64-6bb2-4c37-ae3e-d1fb26d0f41c · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challenges,
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Observation c87fcab6-02b5-4ee5-96f4-212951bdf478 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Online verification of automated road vehicles using reachability analysis,
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Observation c97f114e-d0cd-42d6-b102-e20ec5cc6da3 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Using online verification to prevent autonomous vehicles from causing accidents,
Reference 28
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Observation 3dd7b3d2-601e-4248-9b33-ea1864949b27 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Reachability-based decision-making for autonomous driving: Theory and experiments,
Reference 29
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Observation 882ddb7a-aab0-46b5-b8e6-931a9af783f7 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis No more traffic tickets: A tutorial to ensure traffic-rule compliance of automated vehicles,
Reference 30
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Observation 2d8c0cbe-0951-4eeb-b0fd-a842e2a9c5af · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Specifying safety of autonomous vehicles in signal temporal logic,
Reference 31
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Observation 838e5b91-59ae-492a-b9fa-7c429d27722b · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Encoding and monitoring responsi- bility sensitive safety rules for automated vehicles in signal temporal logic,
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Observation c96181ec-f4c9-4d43-867c-890996b9bc60 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Formalizing traffic rules for machine interpretability,
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Observation 34ea963a-db9c-48bf-bfed-a6f6ff33b52f · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Formal- ization of interstate traffic rules in temporal logic,
Reference 34
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Observation 3fe59cc5-a881-4eff-af49-5e3b4ea67e4c · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Formalization of intersection traffic rules in temporal logic,
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Observation aa46d846-f06d-4f82-b4cc-f884705ab3aa · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Interpretable safety validation for autonomous vehicles,
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Observation 2fd3d5f4-7f83-45f6-9d19-752d62114ec8 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Autonomous vehicle decision-making and monitoring based on signal temporal logic and mixed-integer programming,
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Observation 34a5a9a0-19fe-48da-a84a-44ae407368a4 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Synthesizing traffic scenarios from formal specifications for testing automated vehicles,
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Observation e66e0e99-0e3b-4a97-95bd-cc62d4294d85 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Motion planning with temporal-logic spec- ifications: Progress and challenges,
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Observation 439ad213-f55a-46d0-8806-a488622f5fd2 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Traffic-rule-compliant trajec- tory repair via satisfiability modulo theories and reachability analysis,
Reference 40
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Observation 9381aa4e-1b60-4b86-9801-bfc097a1343f · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Specification-compliant driving corridors for motion planning of automated vehicles,
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Observation bf1120f5-b825-4256-857c-018632b57e15 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Specification-compliant reachability analysis for autonomous vehicles using on-the-fly model checking,
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Observation 40915745-a82f-4df1-ba99-1493261c810f · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis A formal methods approach to interpretable reinforcement learning for robotic planning,
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Observation 415c8206-ca61-4ee3-91a7-e97df0ca31fc · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Provable traffic rule compliance in safe reinforcement learning on the open sea,
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Observation df14346d-798e-413b-adb3-a65317544344 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Lanelets: Efficient map represen- tation for autonomous driving,
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Observation 5662bed3-d403-4635-8d05-e871368db0ee · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Robust and efficient curvilinear coordi- nate transformation with guaranteed map coverage for motion planning,
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Observation 7d538d20-c0b1-4ce9-ab29-8f47972dbf20 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Linear temporal logic and linear dynamic logic on finite traces
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Observation e8d0f9d6-2bd8-43dd-95e6-9425e3910b10 · outbound
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Observation 768f2add-4e6c-4ec7-9e61-94030f8a9ee8 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis The image computation problem in hybrid systems model checking,
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Observation 05cbea91-cce9-43b1-892b-3f2eb01ec6fc · outbound
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Observation 24d106ac-e6f7-4d8f-9bd4-6cd261f4d396 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Learning transferable visual models from natural language supervision,
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Observation c902bd92-e2eb-46b0-a959-6bbcbbcb5758 · outbound
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Observation fb0d8c45-5096-46f2-93d3-02f5156abd01 · outbound
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis CommonRoad-CriMe: A toolbox for criticality measures of autonomous vehicles,
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SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis LoRA: Low-rank adaptation of large language models,
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