Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs | Paper Citation Record

Observation 0b5ee746-ad02-4878-b8a2-c55e8d5ee5a7 · outbound

This paper cites Quad: Query-based interpretable neural motion planning for autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Quad: Query-based interpretable neural motion planning for autonomous driving

Reference 1

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Observation d21c1b46-d884-4136-8db6-0afa3c201ba3 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs nuscenes: A multimodal dataset for autonomous driving

Reference 2

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Observation b0e6c536-fd87-410d-a528-dbc1c7e05624 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.242408Z

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Observation 1071cdb7-07f4-4d58-b6ed-1905bd72d14f · outbound

This paper cites Mp3: A unified model to map, perceive, predict and plan.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Mp3: A unified model to map, perceive, predict and plan

Reference 4

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Observation 919c90c3-0ad7-46bc-998b-e8e3e464bd24 · outbound

This paper cites Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.287375Z

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Observation a04418bf-1c7e-437d-a609-8d8905e95b7b · outbound

This paper cites Large language models for autonomous driving (llm4ad): Concept, benchmark, simulation, and real-vehicle experiment.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Large language models for autonomous driving (llm4ad): Concept, benchmark, simulation, and real-vehicle experiment

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:29:50.272127Z

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Observation 5a74613a-8b4f-4a3a-b23d-187aab628769 · outbound

This paper cites Parting with miscon- ceptions about learning-based vehicle motion planning.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Parting with miscon- ceptions about learning-based vehicle motion planning

Reference 7

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Observation 889b1eb6-0ff9-4e07-8170-0ab8cdfc1449 · outbound

This paper cites Causal confusion in imitation learning.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Causal confusion in imitation learning

Reference 8

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Observation 47d62018-1699-4e80-8669-f4525e0fba34 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T08:59:15.541879Z

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Observation 58658f28-a476-4689-949e-b359f8e88004 · outbound

This paper cites Orion: A holistic end-to-end autonomous driving framework by vision-language instructed action generation.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Orion: A holistic end-to-end autonomous driving framework by vision-language instructed action generation

Reference 10

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Observation 25c22b28-0be5-421c-8644-b7357104f504 · outbound

This paper cites Safecoop: Unravelling full stack safety in agentic collaborative driving.arXiv preprint arXiv:2510.18123, 2025.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Safecoop: Unravelling full stack safety in agentic collaborative driving.arXiv preprint arXiv:2510.18123, 2025

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.250792Z

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Observation 0d888f52-a084-46d0-98b2-164daa2e05d3 · outbound

This paper cites Automated Vehicles Should be Connected with Natural Language.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Automated Vehicles Should be Connected with Natural Language

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.256340Z

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Observation 12e09d3b-2bd3-4c8d-b49a-8c38f64d93e9 · outbound

This paper cites Langcoop: Collaborative driving with language.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Langcoop: Collaborative driving with language

Reference 13

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Observation 149031d7-b3db-4f62-ba93-d157fc89ff26 · outbound

This paper cites Rad-lad: Rule and language grounded autonomous driving in real-time.arXiv preprint arXiv:2603.28522, 2026.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Rad-lad: Rule and language grounded autonomous driving in real-time.arXiv preprint arXiv:2603.28522, 2026

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.225558Z

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Observation 10cede9a-b77e-4b58-9faa-dca150f65665 · outbound

This paper cites Drama-x: A fine-grained intent prediction and risk reasoning benchmark for driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Drama-x: A fine-grained intent prediction and risk reasoning benchmark for driving

Reference 15

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Observation a6f7ccb0-1713-48b6-ab66-6563a67935b8 · outbound

This paper cites Dreher, T.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Dreher, T

Reference 16

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Observation 40e09220-3822-4433-9656-f01ecaa67e00 · outbound

This paper cites Patel, and Fatih Porikli.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Patel, and Fatih Porikli

Reference 17

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Observation 701db3f4-0d3a-41f6-9556-60db988c9046 · outbound

This paper cites Planning-oriented autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Planning-oriented autonomous driving

Reference 18

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Observation 089c705a-f86e-4d53-9f46-548de0b245d6 · outbound

This paper cites Drivlme: Enhancing llm-based autonomous driving agents with embodied and social experiences.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Drivlme: Enhancing llm-based autonomous driving agents with embodied and social experiences

Reference 19

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Observation af70a317-4586-43ce-bbef-ea2b1bee60cb · outbound

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

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.253270Z

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Observation e209b494-7bee-4576-9e5b-b57b8a0a49d1 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Vad: Vectorized scene representation for efficient autonomous driving

Reference 21

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Observation 76a134d8-fe32-43c6-a51d-b781b04da1f0 · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.258705Z

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Observation dd164524-6b63-46f5-b6e1-5a2413854a19 · outbound

This paper cites Towards learning-based planning: The nuplan benchmark for real-world autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Towards learning-based planning: The nuplan benchmark for real-world autonomous driving

Reference 23

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Observation 6e84d538-e06f-4314-b455-ccd7940e7907 · outbound

This paper cites Modular safety guardrails are necessary for foundation-model-enabled robots in the real world.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Modular safety guardrails are necessary for foundation-model-enabled robots in the real world

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.261491Z

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Observation f13e8fee-b038-49d5-a125-644a7ae1dfd1 · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.274555Z

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Observation 211a2249-8a0f-43e0-9a6a-8de81a51adf0 · outbound

This paper cites Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.279984Z

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Observation 26c80ccb-2404-48d6-ba10-21512e769370 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.283113Z

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Observation ccfed76e-6b7a-43be-81ab-8c44c7f9b40c · outbound

This paper cites Let’s verify step by step.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Let’s verify step by step

Reference 28

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Observation d674cb01-c2ef-4a53-93c9-d42fb78587eb · outbound

This paper cites Lampilot: An open benchmark dataset for autonomous driving with language model programs.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Lampilot: An open benchmark dataset for autonomous driving with language model programs

Reference 29

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Observation 22a720cb-4102-4571-a940-795420339a76 · outbound

This paper cites Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving

Reference 30

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Observation 0ea25f5d-b1dc-499a-9137-7723aef37131 · outbound

This paper cites Introducing openai o1.https://openai.com/o1/, 2024.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Introducing openai o1.https://openai.com/o1/, 2024

Reference 31

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Observation a012a102-267e-4525-b815-a49cc3eed003 · outbound

This paper cites Simlingo: Vision-only closed- loop autonomous driving with language-action alignment.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Simlingo: Vision-only closed- loop autonomous driving with language-action alignment

Reference 32

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Observation 04c64540-c851-4dc7-a027-e4808f75f6ba · outbound

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

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.269675Z

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Observation 6e722aab-a2bd-41a3-b50a-6e485dfd91ab · outbound

This paper cites Waslander, Yu Liu, and Hong- sheng Li.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Waslander, Yu Liu, and Hong- sheng Li

Reference 34

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Observation 29bf6720-457b-4ea4-ac44-5044e16e5320 · outbound

This paper cites Visual program distillation with template-based augmentation.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Visual program distillation with template-based augmentation

Reference 35

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Observation 541785d5-6245-4f02-ac59-555a5511b67c · outbound

This paper cites Drivelm: Driving with graph visual question answering.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Drivelm: Driving with graph visual question answering

Reference 36

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Observation c3738bba-9344-4da4-b089-d0fe6ff8549d · outbound

This paper cites More than meets the eye? uncovering the reasoning-planning disconnect in training vision-language driving models.arXiv preprint arXiv:2510.04532, 2025.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs More than meets the eye? uncovering the reasoning-planning disconnect in training vision-language driving models.arXiv preprint arXiv:2510.04532, 2025

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.277375Z

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Observation daa0aa15-1a4d-4926-a2fb-1db7a7fe2968 · outbound

This paper cites CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.228746Z

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Observation 5a5e0ccd-b930-4f90-95f7-9768a5cff6a0 · outbound

This paper cites Navidrivevlm: Decoupling high-level reasoning and motion planning for autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Navidrivevlm: Decoupling high-level reasoning and motion planning for autonomous driving

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Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.248210Z

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Observation 5833b444-c70d-45f1-8496-c153f73429fd · outbound

This paper cites Qwen3.5: Accelerating productivity with native multimodal agents, February.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Qwen3.5: Accelerating productivity with native multimodal agents, February

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Observation b479191d-800b-4f87-8b0a-dda5041da979 · outbound

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Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Unresolved cited work

Reference 41

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Observation da16e855-81f6-4d32-8959-38c06e774858 · outbound

This paper cites Drivevlm: The convergence of autonomous driving and large vision-language models.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Drivevlm: The convergence of autonomous driving and large vision-language models

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Observation 7fc733f2-624f-4662-a345-7ba6c0aabc6a · outbound

This paper cites Modeling lane-changing decisions with mobil.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Modeling lane-changing decisions with mobil

Reference 43

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Observation 18bc4a0d-945f-4df5-880f-bbf8dc0eeda6 · outbound

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Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Unresolved cited work

Reference 44

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Observation a241c35a-67e8-4db0-8483-584b1a0a3ae4 · outbound

This paper cites Learning interpretable end- to-end vision-based motion planning for autonomous driving with optical flow distillation.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Learning interpretable end- to-end vision-based motion planning for autonomous driving with optical flow distillation

Reference 45

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Observation 6cfdf354-5334-4b28-a3cf-3605a03c91d3 · outbound

This paper cites DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.239892Z

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Observation 530dc6b9-2ab8-47b8-bdd5-61efda89251a · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.245571Z

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Observation 751f59cc-764b-4fc9-b0f8-af4e676d886c · outbound

This paper cites Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:50.222789Z

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Observation 7655e314-13ba-4447-a12e-e6bab28bbf64 · outbound

This paper cites Generative AI for Autonomous Driving: Frontiers and Opportunities.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Generative AI for Autonomous Driving: Frontiers and Opportunities

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Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.231830Z

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Observation fb3fdd3f-4a48-4fa7-934f-153d282f671e · outbound

This paper cites Chi, Quoc V.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Chi, Quoc V

Reference 50

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Observation d7c5686d-0ffb-48dd-8542-2001513755f2 · outbound

This paper cites Autotrust: Benchmarking trustworthiness in large vision language models for autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Autotrust: Benchmarking trustworthiness in large vision language models for autonomous driving

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Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.234476Z

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Observation 5e750dfa-314c-44d6-9d4b-c88a67ffac05 · outbound

This paper cites Openemma: Open-source multimodal model for end-to-end autonomous driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Openemma: Open-source multimodal model for end-to-end autonomous driving

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Observation 7920a527-7e56-49e1-9fe6-98e728d969d9 · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.237286Z

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Observation 8c2662ba-d172-4e69-b893-fdbe5149df48 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.264088Z

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Observation 15b847e7-8740-44be-b428-58d1b192d722 · outbound

This paper cites AutoDrive- P3: Unified chain of perception–prediction–planning thought via reinforcement fine-tuning.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs AutoDrive- P3: Unified chain of perception–prediction–planning thought via reinforcement fine-tuning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-26T07:59:56.928938Z

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Observation d2257623-ad79-4ea9-ab6a-44f78f5bbdb4 · outbound

This paper cites Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-26T07:59:56.928938Z

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Observation d2c017a7-b597-40a1-9053-c3af26f96de7 · outbound

This paper cites End-to-end interpretable neural motion planner.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs End-to-end interpretable neural motion planner

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-26T07:59:56.928938Z

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Observation 8a862e17-e08b-424d-8f1b-4b1eed265dca · outbound

This paper cites Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, and Jiaqi Ma.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, and Jiaqi Ma

Reference 58

Resolution: malformed identifier; no resolver link, observed 2026-06-26T07:59:56.928938Z

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Unavailable: canonical work link unavailable.

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Pith citing papers