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Paper Citation Record · LEDGER

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis

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.

pith.paper-citation-record.v1
2510.06717 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:13:25.037219Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:21:51.059859Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T05:17:40.102925Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved69
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ed325d5-27e0-4bff-bf21-b0f742580b11 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

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

This paper cites Safe reinforcement learning for autonomous lane changing using set-based prediction,.

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,

Reference 2

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Observation 2504de10-3b04-40e9-a846-4cabfec0b94f · outbound

This paper cites A survey on multimodal large language models for autonomous driving,.

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

This paper cites A survey on large language model based autonomous agents,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis A survey on large language model based autonomous agents,

Reference 4

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Observation 00ca5bae-fa37-4b3d-b12f-4692243471f9 · outbound

This paper cites SurrealDriver: Designing LLM-powered generative driver agent framework based on human drivers’ driving-thinking data,.

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,

Reference 5

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Observation f17c763d-2a5f-4c90-9717-50ac125959a7 · outbound

This paper cites Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via LLM,.

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,

Reference 6

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Observation b55250b0-1c32-482d-9cf0-1558c791b8a0 · outbound

This paper cites DiLu: A knowledge-driven approach to autonomous driving with large language models,.

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

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Reflexion: Language agents with verbal reinforcement learning,

Reference 8

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Observation badadd5e-14d1-426c-85ad-26073a3a6094 · outbound

This paper cites KoMa: Knowledge-driven multi-agent framework for autonomous driving with large language models,.

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,

Reference 9

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Observation 31103039-6d3c-4723-b375-141d1199142c · outbound

This paper cites SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models.

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

This paper cites Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving.

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

Reference 11

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source=pdf_text observed=2026-08-04T11:13:09.760652Z digest=sha256:6af971e4691f329d401b3e7f9a9bb70ee8f311340b8c301621290935003f3e4b

Observation 6d2e97c2-2dac-43dd-ab35-7a9def53b3b0 · outbound

This paper cites PADriver: Towards Personalized Autonomous Driving.

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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source=pdf_text observed=2026-08-04T11:13:09.870816Z digest=sha256:b9bcfb0f355af1b6c573504722d9c67629204f2efbf1b4043601351e016b09df

Observation eee7126d-5339-4da4-9913-349d3e5b010d · outbound

This paper cites DriveMLM: Aligning multi-modal large language models with behavioral planning states for autonomous driving,.

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

This paper cites GPT-Driver: Learning to Drive with GPT.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis GPT-Driver: Learning to Drive with GPT

Reference 14

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source=pdf_text observed=2026-08-04T11:13:10.337934Z digest=sha256:761185219ea1e625875ebc4606d5ae3ab8cac4fa0b2c65a3d8fcaeb62a9fc00f

Observation 6d03ac03-aea6-45f6-8fc8-4c223beb8c09 · outbound

This paper cites DriveLM: Driving with graph visual question answering,.

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

This paper cites LMDrive: Closed-loop end-to-end driving with large language models,.

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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source=pdf_text observed=2026-08-04T11:13:18.714757Z digest=sha256:f3c12ba3281e8887a7c1be1f7c720ae1cbb3fbd33c0d3f2c6575ed97ad67dfa7

Observation 783251e7-9234-455f-b50e-19312c9cc7b6 · outbound

This paper cites DrPlanner: Diagnosis and repair of motion planners for automated vehicles using large language models,.

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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source=pdf_text observed=2026-08-04T11:13:18.787917Z digest=sha256:714324483f7735a899b15fda72d7e619cf68a87d51866eee673f75fac5372c16

Observation 95964437-27b0-419b-901b-bbcdb4e189b6 · outbound

This paper cites Enhancing autonomous driving systems with on-board deployed large language models,.

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

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

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

This paper cites Personalized autonomous driving with large language models: Field experiments,.

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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source=pdf_text observed=2026-08-04T11:13:18.987100Z digest=sha256:6541a95510cb646fcab6b82f700112a634bc6fe8a391ef3977a48e56310487af

Observation ee7131c3-eee5-4372-87a2-49ceee3a2a1c · outbound

This paper cites Driving with LLMs: Fusing object- level vector modality for explainable autonomous driving,.

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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source=pdf_text observed=2026-08-04T11:13:19.147672Z digest=sha256:9471a4178263ce5019c20c64a2c804a675899f13456b0208126b3a6cdfcc4545

Observation b9d64da3-081d-411a-9dbf-bea24b1f9b50 · outbound

This paper cites DriveGPT4: Interpretable end-to-end autonomous driving via large language model,.

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,

Reference 22

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source=pdf_text observed=2026-08-04T11:13:19.259137Z digest=sha256:c056a8750f142bb64fd3b8b80c7b22e43728612428f2dec8c6da9cdb4c97da67

Observation 13bc246f-c18d-4240-b122-604bc82e4f93 · outbound

This paper cites Drive as you speak: En- abling human-like interaction with large language models in autonomous vehicles,.

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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source=pdf_text observed=2026-08-04T11:13:19.402713Z digest=sha256:c1b89d3c361962e7e0fd4130ee0153ca6b8bea47b915683b5fd6534772ab49f9

Observation 7453ec29-2bad-44a6-9481-ed5dbe850428 · outbound

This paper cites Traffic regulation-aware path planning with regulation databases and vision-language models,.

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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source=pdf_text observed=2026-08-04T11:13:19.488370Z digest=sha256:c72fa9d38b1a13092e71d69bedfbe20097ee6dde53d5778b5b5deb9990b54ea2

Observation 8534a76b-fd96-45e0-b7d5-11f56b22910d · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 25

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source=pdf_text observed=2026-08-04T11:13:19.571065Z digest=sha256:e90b9726d1d2caf83153400a3b63453833296c807ee93b2882bfd580065a6a7c

Observation 7e95ec64-6bb2-4c37-ae3e-d1fb26d0f41c · outbound

This paper cites Formal methods to comply with rules of the road in autonomous driving: State of the art and grand challenges,.

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,

Reference 26

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source=pdf_text observed=2026-08-04T11:13:19.672196Z digest=sha256:c0a8ccaf89f0113ef49fed97ce7a2121d1abf4e97dc148b2d0094615ca19a175

Observation c87fcab6-02b5-4ee5-96f4-212951bdf478 · outbound

This paper cites Online verification of automated road vehicles using reachability analysis,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Online verification of automated road vehicles using reachability analysis,

Reference 27

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source=pdf_text observed=2026-08-04T11:13:19.759426Z digest=sha256:46bfa4c1ab9406909d242b07db8721b31ef256adb216c4a5643561fb4fb65cf8

Observation c97f114e-d0cd-42d6-b102-e20ec5cc6da3 · outbound

This paper cites Using online verification to prevent autonomous vehicles from causing accidents,.

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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source=pdf_text observed=2026-08-04T11:13:19.917199Z digest=sha256:0ee5555ac3b6b1c4bc471bf82fabd0f8a1fe905ccf775eac9d82da6ddf734002

Observation 3dd7b3d2-601e-4248-9b33-ea1864949b27 · outbound

This paper cites Reachability-based decision-making for autonomous driving: Theory and experiments,.

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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source=pdf_text observed=2026-08-04T11:13:20.036782Z digest=sha256:434cd0e81f74360ce2d8a57fcfccae83c30ddc0e682abe8bdfb00895e90c6138

Observation 882ddb7a-aab0-46b5-b8e6-931a9af783f7 · outbound

This paper cites No more traffic tickets: A tutorial to ensure traffic-rule compliance of automated vehicles,.

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

This paper cites Specifying safety of autonomous vehicles in signal temporal logic,.

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

This paper cites Encoding and monitoring responsi- bility sensitive safety rules for automated vehicles in signal temporal logic,.

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,

Reference 32

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source=pdf_text observed=2026-08-04T11:13:20.445808Z digest=sha256:ec535551887b20f5b1ce3a9b002aab23c43d4b20799685332883d01a8e9c6000

Observation c96181ec-f4c9-4d43-867c-890996b9bc60 · outbound

This paper cites Formalizing traffic rules for machine interpretability,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Formalizing traffic rules for machine interpretability,

Reference 33

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source=pdf_text observed=2026-08-04T11:13:20.558670Z digest=sha256:a2cd501fa3c242dbd0fdf240630f5b2d6f628de9d34e9cc895a890333fa8e541

Observation 34ea963a-db9c-48bf-bfed-a6f6ff33b52f · outbound

This paper cites Formal- ization of interstate traffic rules in temporal logic,.

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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source=pdf_text observed=2026-08-04T11:13:20.636352Z digest=sha256:96055af4e780d86d45352b7ebc581a9f82d6e61df71f9f4438c8dd6b8908b116

Observation 3fe59cc5-a881-4eff-af49-5e3b4ea67e4c · outbound

This paper cites Formalization of intersection traffic rules in temporal logic,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Formalization of intersection traffic rules in temporal logic,

Reference 35

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source=pdf_text observed=2026-08-04T11:13:20.726990Z digest=sha256:eb77e9468e05139431588462da6359fd10f7b439b51adbf02fd84e3eb5e8a00e

Observation aa46d846-f06d-4f82-b4cc-f884705ab3aa · outbound

This paper cites Interpretable safety validation for autonomous vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Interpretable safety validation for autonomous vehicles,

Reference 36

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Observation 2fd3d5f4-7f83-45f6-9d19-752d62114ec8 · outbound

This paper cites Autonomous vehicle decision-making and monitoring based on signal temporal logic and mixed-integer programming,.

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,

Reference 37

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Observation 34a5a9a0-19fe-48da-a84a-44ae407368a4 · outbound

This paper cites Synthesizing traffic scenarios from formal specifications for testing automated vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Synthesizing traffic scenarios from formal specifications for testing automated vehicles,

Reference 38

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Observation e66e0e99-0e3b-4a97-95bd-cc62d4294d85 · outbound

This paper cites Motion planning with temporal-logic spec- ifications: Progress and challenges,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Motion planning with temporal-logic spec- ifications: Progress and challenges,

Reference 39

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source=pdf_text observed=2026-08-04T11:13:21.267662Z digest=sha256:888ec75d4cb06398402fe4fd8775f1439eeddf01096b9bf088d12913ede0fbca

Observation 439ad213-f55a-46d0-8806-a488622f5fd2 · outbound

This paper cites Traffic-rule-compliant trajec- tory repair via satisfiability modulo theories and reachability analysis,.

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

This paper cites Specification-compliant driving corridors for motion planning of automated vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Specification-compliant driving corridors for motion planning of automated vehicles,

Reference 41

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source=pdf_text observed=2026-08-04T11:13:21.632892Z digest=sha256:2565318c7fd4a68f2b230d3585c186ac7f04255da1d3457d31fba34071b1e402

Observation bf1120f5-b825-4256-857c-018632b57e15 · outbound

This paper cites Specification-compliant reachability analysis for autonomous vehicles using on-the-fly model checking,.

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,

Reference 42

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Observation 40915745-a82f-4df1-ba99-1493261c810f · outbound

This paper cites A formal methods approach to interpretable reinforcement learning for robotic planning,.

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,

Reference 43

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Observation 415c8206-ca61-4ee3-91a7-e97df0ca31fc · outbound

This paper cites Provable traffic rule compliance in safe reinforcement learning on the open sea,.

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,

Reference 44

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source=pdf_text observed=2026-08-04T11:13:22.159176Z digest=sha256:4a63b704cb17a4d396e0940cdb53c613a4a634eacade5145efbf6de0a479c85c

Observation df14346d-798e-413b-adb3-a65317544344 · outbound

This paper cites Lanelets: Efficient map represen- tation for autonomous driving,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Lanelets: Efficient map represen- tation for autonomous driving,

Reference 45

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source=pdf_text observed=2026-08-04T11:13:22.379840Z digest=sha256:b76f783d8191c08fe7137717b34b86140ee22cc0ed67c5332bf6d4e49709e048

Observation 5662bed3-d403-4635-8d05-e871368db0ee · outbound

This paper cites Robust and efficient curvilinear coordi- nate transformation with guaranteed map coverage for motion planning,.

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,

Reference 46

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source=pdf_text observed=2026-08-04T11:13:22.490323Z digest=sha256:3e15208d8c66104335591fc0e7053ddb15ac8a9c72b5ea5d09f52ed03ad81578

Observation 7d538d20-c0b1-4ce9-ab29-8f47972dbf20 · outbound

This paper cites Linear temporal logic and linear dynamic logic on finite traces.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Linear temporal logic and linear dynamic logic on finite traces

Reference 47

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source=pdf_text observed=2026-08-04T11:13:22.674750Z digest=sha256:374e9977b369203d81879d0fc5c979fa2fc1712ef4a8ae8aa0029d3c05cf2ccb

Observation e8d0f9d6-2bd8-43dd-95e6-9425e3910b10 · outbound

This paper cites Baier and J.-P.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Baier and J.-P

Reference 48

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source=pdf_text observed=2026-08-04T11:13:22.741352Z digest=sha256:35208fb7b2b9c2b6996f1d39bddc25e597ea3b25ea66e78098d75952a559a7a0

Observation 768f2add-4e6c-4ec7-9e61-94030f8a9ee8 · outbound

This paper cites The image computation problem in hybrid systems model checking,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis The image computation problem in hybrid systems model checking,

Reference 49

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source=pdf_text observed=2026-08-04T11:13:22.786546Z digest=sha256:6862a26f459025b4a8b59d15caa004987a533c9776b0f91092078574f201e52d

Observation 05cbea91-cce9-43b1-892b-3f2eb01ec6fc · outbound

This paper cites Convention on road traffic,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Convention on road traffic,

Reference 50

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source=pdf_text observed=2026-08-04T11:13:22.897480Z digest=sha256:250e6e9e8bb528638cb9a2ecbaf7644e05eaf8066373db5ec87aaafaed611c21

Observation 24d106ac-e6f7-4d8f-9bd4-6cd261f4d396 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Learning transferable visual models from natural language supervision,

Reference 51

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source=pdf_text observed=2026-08-04T11:13:22.984597Z digest=sha256:67be98256e1bc3a1b1b27846561821c4208e7397b284a795e708bb723eecad24

Observation fe98a5e1-1556-47dc-9cd2-6938a1577655 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Chain-of-thought prompting elicits reasoning in large language models,

Reference 52

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source=pdf_text observed=2026-08-04T11:13:23.056637Z digest=sha256:bd8a821d5b34b58639d236775bcafd469befe73c5e79fe7dc460bf761be3f1a6

Observation c902bd92-e2eb-46b0-a959-6bbcbbcb5758 · outbound

This paper cites Commonroad-RL: A con- figurable reinforcement learning environment for motion planning of autonomous vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Commonroad-RL: A con- figurable reinforcement learning environment for motion planning of autonomous vehicles,

Reference 53

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source=pdf_text observed=2026-08-04T11:13:23.164244Z digest=sha256:367492a928b796e055861452def35c6e6c70c238bb2a11b4c71a5aa144d99074

Observation fb0d8c45-5096-46f2-93d3-02f5156abd01 · outbound

This paper cites CommonRoad-CriMe: A toolbox for criticality measures of autonomous vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis CommonRoad-CriMe: A toolbox for criticality measures of autonomous vehicles,

Reference 54

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source=pdf_text observed=2026-08-04T11:13:23.377566Z digest=sha256:9e7451862eb35f8be8588372f42edcdb6c912d57139f141d601d6647ce0730ee

Observation 6276aa2d-c223-4034-b410-f7515ae21e3e · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis LoRA: Low-rank adaptation of large language models,

Reference 55

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source=pdf_text observed=2026-08-04T11:13:23.474750Z digest=sha256:403a9142ede9aa25bf2ae061253b7cd4e7617cae77b3991f836095a1241241f8

Observation ab38241b-4a1d-41c0-a809-e8bfb4192074 · outbound

This paper cites Spot 2.0 – a framework for LTL andω-automata manipulation,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Spot 2.0 – a framework for LTL andω-automata manipulation,

Reference 56

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source=pdf_text observed=2026-08-04T11:13:23.547421Z digest=sha256:6e86ac750e6f5faa0b55afb1a4e0f7188a001286a8386945a8b65731c7b311fe

Observation 5f86b79e-44a7-4593-8da4-d1aa6cab367e · outbound

This paper cites A survey on motion prediction and risk assessment for intelligent vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis A survey on motion prediction and risk assessment for intelligent vehicles,

Reference 57

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source=pdf_text observed=2026-08-04T11:13:23.619002Z digest=sha256:3620fc2a7de9cce9da54355f2e491cb673480e5f433a9880b93373589c24f80a

Observation 22f0ff0c-16d4-4858-acbf-9cb7dbbf62eb · outbound

This paper cites Set-based prediction of traffic participants considering occlusions and traffic rules,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Set-based prediction of traffic participants considering occlusions and traffic rules,

Reference 58

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source=pdf_text observed=2026-08-04T11:13:23.749099Z digest=sha256:95aac6383b9a820362296c31b775de4b099ca488f6b36b231ceba11a51270f7a

Observation 51ea97ee-6e29-458e-821f-0bcfc09f9eed · outbound

This paper cites Efficient computation of invariably safe states for motion planning of self-driving vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Efficient computation of invariably safe states for motion planning of self-driving vehicles,

Reference 59

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source=pdf_text observed=2026-08-04T11:13:23.862774Z digest=sha256:e72ad2c2f403efd3bdc5e79f17c10f237f7458c4f6d72b0ccd01b77e3b5620e4

Observation ae3b37a2-1c9b-4f40-87da-e5b15575ca7b · outbound

This paper cites CommonRoad: Composable benchmarks for motion planning on roads,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis CommonRoad: Composable benchmarks for motion planning on roads,

Reference 60

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source=pdf_text observed=2026-08-04T11:13:23.964756Z digest=sha256:2adf1d0ed78678a9eb701681c88aa732dc1dde171f33897f92d4626e8315450a

Observation af071f74-a812-4ca7-8dbf-1f2e3b1a820c · outbound

This paper cites CommonRoad-Reach: A toolbox for reachability analysis of automated vehicles,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis CommonRoad-Reach: A toolbox for reachability analysis of automated vehicles,

Reference 61

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source=pdf_text observed=2026-08-04T11:13:24.039860Z digest=sha256:caa6c019f5be118a0f0462bddffb93cd627c4cb54a2939d743ef7ddbe4152a11

Observation 1042f605-00c8-4f0c-9652-fa3c194526ef · outbound

This paper cites An environment for autonomous driving decision-making,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis An environment for autonomous driving decision-making,

Reference 62

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source=pdf_text observed=2026-08-04T11:13:24.122703Z digest=sha256:622f3e3deeabf242d38126c1574e0d0f37ad5bf5a0bafabdb4013b1ea62f750e

Observation d05d5ede-32ef-4834-8c8b-aa0f47313316 · outbound

This paper cites GPT-4o System Card.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis GPT-4o System Card

Reference 63

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source=pdf_text observed=2026-08-04T11:13:24.299849Z digest=sha256:068f856dd2672a9279d9a0bde2b05509d2bba78253bf1736a0d33c67388d910f

Observation 7756bc1d-72f6-43e3-bc9e-2ac88d178c7f · outbound

This paper cites Qwen3 Technical Report.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Qwen3 Technical Report

Reference 64

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source=pdf_text observed=2026-08-04T11:13:24.459448Z digest=sha256:e6ba2ac7ad87bd18aefb554925bd91da2b941d82ded0ce9d98aeeefdd4c46ef7

Observation 51bd5b46-0a1b-4117-b919-6bc23692b85e · outbound

This paper cites The highD dataset: A drone dataset of naturalistic vehicle trajectories on German highways for validation of highly automated driving systems,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis The highD dataset: A drone dataset of naturalistic vehicle trajectories on German highways for validation of highly automated driving systems,

Reference 65

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source=pdf_text observed=2026-08-04T11:13:24.578405Z digest=sha256:b8c920ff774bdcc9d89beb594fb2b196c9c659eec6fe7f55078960f0b8784d10

Observation e63ee4a0-b51a-4bd0-80a3-8e478af520b2 · outbound

This paper cites MONA: The Munich motion dataset of natural driving,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis MONA: The Munich motion dataset of natural driving,

Reference 66

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source=pdf_text observed=2026-08-04T11:13:24.761883Z digest=sha256:5eb705aa0e6f9ae77c89e5739995b6f4eed9c33b86ca60948f45ac5d07e05e76

Observation 6b4cf101-2931-4e5c-90c0-00ff021e8dab · outbound

This paper cites Rule-compliant trajectory repairing using satisfiability modulo theories,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Rule-compliant trajectory repairing using satisfiability modulo theories,

Reference 67

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source=pdf_text observed=2026-08-04T11:13:24.840038Z digest=sha256:c3ac380fbf0667acdda18f0d313f2c2db7a799af726395b52833ac77b77e6efe

Observation 0159fdda-d92f-4c35-9914-3e17960ac9d0 · outbound

This paper cites Sampling-based optimal trajectory generation for autonomous vehicles using reachable sets,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Sampling-based optimal trajectory generation for autonomous vehicles using reachable sets,

Reference 68

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source=pdf_text observed=2026-08-04T11:13:24.942211Z digest=sha256:e7a7a9de6e10305da9967e8f8320b4a29fa3b42aac5322bee158f23c2db88eef

Observation d9dd1b7e-a669-48f9-8960-c151a42d629f · outbound

This paper cites Model predictive robustness of signal temporal logic predicates,.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis Model predictive robustness of signal temporal logic predicates,

Reference 69

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source=pdf_text observed=2026-08-04T11:13:25.037219Z digest=sha256:aca7b9586da4e9d3bb6a24b27ab5f9a279827dcbd16e07073f0f716ef252e94f

Pith citing papers

Observation c0711f9f-5dbb-49c1-b37e-1307bcd73c6d · inbound

Language-Driven Cost Optimization for Autonomous Driving cites this paper.

Language-Driven Cost Optimization for Autonomous Driving SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis

Reference 13

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arxiv_id, observed 2026-07-14T01:19:54.916492Z

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source=pdf_text observed=2026-06-27T13:21:51.059859Z digest=sha256:315d842a60f0e18484cba296f8480c4437f5cb0188d8361d84b75355a641f3d6