Paper Citation Record · LEDGER

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 6 inbound Pith citation observations for arXiv:2505.06875.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.06875 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:34:58.371687Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:29:54.795961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:16:33.973081Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy18
unresolved21
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 131245c6-a39d-4b66-955e-7991dd3dd8ae · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles: Survey of surveys.IEEE Transactions on Intelligent Vehicles, 8(2):1046–1056, 2022.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Milestones in autonomous driving and intelligent vehicles: Survey of surveys.IEEE Transactions on Intelligent Vehicles, 8(2):1046–1056, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.177192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dd7aa1c-d3e2-40a8-992a-8f3b674da2f2 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.119938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df2c278-bfd3-4bc3-8aa7-da018a2641fa · outbound

This paper cites A re- view on human–machine trust evaluation: Human-centric and machine- centric perspectives.IEEE Transactions on Human-Machine Systems, 52(5):952–962, 2022.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning A re- view on human–machine trust evaluation: Human-centric and machine- centric perspectives.IEEE Transactions on Human-Machine Systems, 52(5):952–962, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.148125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84cab115-7ea3-4051-8f5b-dea1e66891bf · outbound

This paper cites Explainable ai for safe and trustworthy autonomous driving: a systematic review.IEEE Transactions on Intelligent Trans- portation Systems, 2024.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Explainable ai for safe and trustworthy autonomous driving: a systematic review.IEEE Transactions on Intelligent Trans- portation Systems, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.131505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aca0f294-c7eb-46d2-ad90-fc255274bea9 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.140453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1193c82b-2ec9-4e10-9a7e-5eaa7aa08509 · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey.IEEE transactions on intelligent transportation systems, 23(6):4909–4926, 2021.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Deep reinforcement learning for autonomous driving: A survey.IEEE transactions on intelligent transportation systems, 23(6):4909–4926, 2021

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.102599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7299a31-aac1-40e0-b1a5-0fe3e152cf19 · outbound

This paper cites Recent advances in reinforcement learning-based au- tonomous driving behavior planning: A survey.Transportation Research Part C: Emerging Technologies, 164:104654, 2024.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Recent advances in reinforcement learning-based au- tonomous driving behavior planning: A survey.Transportation Research Part C: Emerging Technologies, 164:104654, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.083977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7665a61f-ce89-492a-95c5-4e77c5d152c1 · outbound

This paper cites Deep reinforcement learning for intelligent transportation systems: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(1):11–32, 2020.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Deep reinforcement learning for intelligent transportation systems: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(1):11–32, 2020

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.066700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b833fc43-8b53-4240-b9aa-d47e9c174809 · outbound

This paper cites DeepSeek-V3 Technical Report.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning DeepSeek-V3 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.168554Z

Source-reported events for the cited work

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Observation 3f0ef6b3-7775-4026-8dfe-5d033b6bf699 · outbound

This paper cites GPT-4 Technical Report.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning GPT-4 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.175453Z

Source-reported events for the cited work

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Observation a9ffc5d8-2d09-4ee0-ba14-081b6eb1864f · outbound

This paper cites DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.181668Z

Source-reported events for the cited work

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Observation abab1e14-ad60-4fd7-a011-a5f5c0877d92 · outbound

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

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.188532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2445426d-739a-4600-9876-caafa9948f77 · outbound

This paper cites an unresolved cited work.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:34:59.047635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b6869e6-3506-4377-887b-a22a769449f0 · outbound

This paper cites Language-driven policy distillation 8 for cooperative driving in multi-agent reinforcement learning.IEEE Robotics and Automation Letters, (99):1–8, 2025.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Language-driven policy distillation 8 for cooperative driving in multi-agent reinforcement learning.IEEE Robotics and Automation Letters, (99):1–8, 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.027463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9614530-c2d0-4905-8c46-ed456464698f · outbound

This paper cites Overcom- ing driving challenges in complex urban traffic: A multi-objective eco- driving strategy via safety model based reinforcement learning.Energy, 284:128517, 2023.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Overcom- ing driving challenges in complex urban traffic: A multi-objective eco- driving strategy via safety model based reinforcement learning.Energy, 284:128517, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:59.008271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5379a433-40bb-4135-bb18-28b3565a136a · outbound

This paper cites A survey of reinforcement learning from human feedback.arXiv preprint arXiv:2312.14925, 10, 2023.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning A survey of reinforcement learning from human feedback.arXiv preprint arXiv:2312.14925, 10, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.217413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445475a5-d846-4595-ba79-d3c574a6c5f8 · outbound

This paper cites Toward human-in- the-loop ai: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving.Engineering, 21:75–91, 2023.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Toward human-in- the-loop ai: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving.Engineering, 21:75–91, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.988119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 904562db-f5c0-406f-b00b-f9b9a8d6ae75 · outbound

This paper cites Human-guided deep reinforcement learning for optimal decision making of autonomous vehicles.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Human-guided deep reinforcement learning for optimal decision making of autonomous vehicles.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.968751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f140c479-9a3b-47e6-9d87-7829718d7fe2 · outbound

This paper cites Quantifying generalization in reinforcement learning.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Quantifying generalization in reinforcement learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.950137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e68a9b16-6ffc-4487-a611-29b1f3deb874 · outbound

This paper cites Generalization in reinforcement learning by soft data augmentation.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Generalization in reinforcement learning by soft data augmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.245582Z

Source-reported events for the cited work

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Observation f57034a1-a093-4272-821d-902f5556598c · outbound

This paper cites Human-centric autonomous systems with llms for user command reasoning.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Human-centric autonomous systems with llms for user command reasoning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.913959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58e6a12b-c097-41e2-8a12-4a280be31669 · outbound

This paper cites Human-in-the-loop robot learning for smart manufacturing: A human-centric perspective.IEEE Transactions on Automation Science and Engineering, 2025.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Human-in-the-loop robot learning for smart manufacturing: A human-centric perspective.IEEE Transactions on Automation Science and Engineering, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.893380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation feeeb316-d368-4448-8ea7-a228f627882a · outbound

This paper cites Recent trends in deep learning based natural language processing.ieee Computational intelligenCe magazine, 13(3):55–75, 2018.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Recent trends in deep learning based natural language processing.ieee Computational intelligenCe magazine, 13(3):55–75, 2018

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.874479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5d13b60-ddd0-4ef7-8bf7-2b3f67e53a2e · outbound

This paper cites TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.272599Z

Source-reported events for the cited work

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Observation 5913f9f4-a887-4f5c-9ff4-245e4b1f56cd · outbound

This paper cites Llm4drive: A survey of large language models for autonomous driving.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Llm4drive: A survey of large language models for autonomous driving

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.854545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ea8ea13-ed5d-48e4-bd06-80281c2a21b8 · outbound

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

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning A survey on multimodal large language models for autonomous driving

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.287497Z

Source-reported events for the cited work

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Observation adbec904-d985-4913-96bb-7228e52b9fb1 · outbound

This paper cites macmillan, 2011.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning macmillan, 2011

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.294080Z

Source-reported events for the cited work

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Observation 9d081a92-9459-4e1e-a45a-e4c7ccc40a23 · outbound

This paper cites Reinforcement learning, fast and slow.Trends in cognitive sciences, 23(5):408–422, 2019.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Reinforcement learning, fast and slow.Trends in cognitive sciences, 23(5):408–422, 2019

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.813316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2fbc565-23df-40d3-9d69-2c65e92627ab · outbound

This paper cites Machine thinking, fast and slow.Trends in Cognitive Sciences, 24(12):1019–1027, 2020.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Machine thinking, fast and slow.Trends in Cognitive Sciences, 24(12):1019–1027, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.789432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91ade78b-da46-4eac-b1db-2fd49377d7e2 · outbound

This paper cites Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.314554Z

Source-reported events for the cited work

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Observation be13401f-807a-4490-ac3f-74526d89c033 · outbound

This paper cites Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.320894Z

Source-reported events for the cited work

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Observation d8c9c199-7381-45d8-840d-35b05c528cd7 · outbound

This paper cites Drivegpt4: Inter- pretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Drivegpt4: Inter- pretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:58.767362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53c6c170-75ee-4a26-ae25-59ca41f9a2cb · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural infor- mation processing systems, 35:24824–24837, 2022.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Chain-of-thought prompting elicits reasoning in large language models.Advances in neural infor- mation processing systems, 35:24824–24837, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.332907Z

Source-reported events for the cited work

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Observation 778d4025-3f55-4bec-8d2d-7b1b09af3f78 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.338993Z

Source-reported events for the cited work

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Observation 7025158e-f65f-4727-94bf-ee51fcd1716a · outbound

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

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning An environment for autonomous driving decision- making

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.345161Z

Source-reported events for the cited work

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Observation 7b3005b7-b42d-4c40-9761-5c9cec8d4e06 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.351643Z

Source-reported events for the cited work

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Observation 1a91fc14-fbd9-4f87-b47c-bd08180e3e38 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.358175Z

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Observation 18f8c802-558d-4533-ac21-3bf47839661e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.365538Z

Source-reported events for the cited work

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Observation 51c03c50-59b8-4898-a257-0cd29a06d884 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:58.371687Z

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Pith citing papers

Observation bbd5893c-327a-4e9a-9797-d751232f4e45 · inbound

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models cites this paper.

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:29:54.795961Z

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Observation 7ce7de1c-8890-4ab8-a68f-4e1aa7973611 · inbound

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity cites this paper.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

Reference 24

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Observation 9c0d70d0-0603-47e0-afdc-7fd8fc738141 · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

Reference 63

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Observation 5a186bd0-0617-4520-b819-40be7b865eea · inbound

Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving cites this paper.

Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:16:33.976000Z

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Observation e53edda1-da0f-4b1a-bd7c-c101ed8432f8 · inbound

Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving cites this paper.

Reference 32

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Observation c3515d88-b737-4402-9c1b-bf121cf2e790 · inbound

Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action Consistency cites this paper.

Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action Consistency Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

Reference 57

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