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Paper Citation Record · LEDGER

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects

As of 18 August 2026, this Paper Citation Record lists 100 of 159 outbound references and 3 inbound Pith citation observations for arXiv:2505.20223.

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

pith.paper-citation-record.v1
2505.20223 v1

Coverage vector

measured 100 of 159 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:59.697040Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:31:04.402197Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:36:24.910354Z

Reference resolution

100 of 159 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 663e5ac3-418e-4ddc-a461-70af4bf1f826 · outbound

This paper cites Attention is all you need,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Attention is all you need,

Reference 1

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Observation c63bf9aa-272f-44d7-b700-115f9621b624 · outbound

This paper cites Language mod- els are few-shot learners,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Language mod- els are few-shot learners,

Reference 2

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source=pdf_text observed=2026-08-07T14:02:50.877191Z digest=sha256:6e587349eba23962c6efd0d5d5f0c6d477f5b7032eca92507909d7d59dcb9aac

Observation 65659f55-0a3e-47e1-b0ff-3caa7e3cc70a · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 3

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Observation 51f783f4-4d4a-4411-a8a4-b1cbb609926d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LLaMA: Open and Efficient Foundation Language Models

Reference 4

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Observation 9da2a40e-2ec1-4170-85ab-179a6777c354 · outbound

This paper cites When brain-inspired ai meets agi,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects When brain-inspired ai meets agi,

Reference 5

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Observation 8d9666fe-3740-4f74-b530-389a84c74dab · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Deep reinforcement learning for autonomous driving: A survey,

Reference 6

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Observation 744662ec-c315-4a4b-a0e2-429a0c266ffe · outbound

This paper cites Prospective role of foundation models in advancing autonomous vehicles,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Prospective role of foundation models in advancing autonomous vehicles,

Reference 7

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source=pdf_text observed=2026-08-07T14:02:51.436849Z digest=sha256:1236b63a01253a0a523d82d124cd60b6af5d233bc63a3fc1ee28951c762c94cc

Observation 560c3e65-ffd1-4b7e-aadd-0dd888f242bf · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Large language models for autonomous driving (llm4ad): Concept, benchmark, simulation, and real-vehicle experiment,

Reference 8

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source=pdf_text observed=2026-08-07T14:02:51.531945Z digest=sha256:5d2ed126289912a1115892a293fed9bc3c5e0a441a9789c62205ffad6009087c

Observation b39f0e72-8e6d-4f40-8ddd-3784512ceb96 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A survey on multimodal large language models for autonomous driving,

Reference 9

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source=pdf_text observed=2026-08-07T14:02:51.601214Z digest=sha256:d37e9ff0c522a5ff5a891c563507591361b3505d7b9b69287ba0327de304ee0b

Observation dd32f0f6-72fc-4f18-b7c6-a3916f652d21 · outbound

This paper cites A survey on recent advancements in autonomous driving using deep reinforcement learning: Applications, challenges, and solutions,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A survey on recent advancements in autonomous driving using deep reinforcement learning: Applications, challenges, and solutions,

Reference 10

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source=pdf_text observed=2026-08-07T14:02:51.664679Z digest=sha256:2a3f5509f7a360995a5a1ea2bc3d4c40cdedc49c7247eda2b4dd299bb78289ad

Observation aa79fb91-6281-46ae-84db-c825480b7aba · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects End-to-end autonomous driving: Challenges and frontiers,

Reference 11

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Observation 601af090-ea34-4f5d-b679-bc6f233de48a · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Reasoning in Large Language Models: A Survey

Reference 12

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source=pdf_text observed=2026-08-07T14:02:51.848351Z digest=sha256:1d39d2f277f9c79e5cab046c12fea82ad73ad0e230c3b234741d1af4445c435e

Observation ad3baf55-2b1c-4eea-8b7e-8821f8eab6d6 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Chain-of-thought prompting elicits reasoning in large language models,

Reference 13

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source=pdf_text observed=2026-08-07T14:02:51.954313Z digest=sha256:3acbf78812c384be21993b4092274cf436b5d48908fd1225bf22778c6ef931b0

Observation b8eb9a20-a1c3-4105-b6bf-bd2cdb7a5227 · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 14

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source=pdf_text observed=2026-08-07T14:02:52.066758Z digest=sha256:a1378796c7d9ebb657021e68999a3bc75808c79363f40d6bd43edd06a66911cd

Observation 38b7f929-2dc0-4823-9d75-eb1762c63349 · outbound

This paper cites OpenAI o1 System Card.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects OpenAI o1 System Card

Reference 15

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source=pdf_text observed=2026-08-07T14:02:52.166416Z digest=sha256:f7d28a1b6c078531d1028cca034156626d1f4918485ca20610ce0a14693a4615

Observation f231b601-39de-448b-ac81-b29db633d717 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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source=pdf_text observed=2026-08-07T14:02:52.270919Z digest=sha256:6deffa249a5fd5ee234f42592c725893224cb480b1e21862b3bda8bbe40bf811

Observation 15c829fb-3079-4505-8883-815fa3cce16a · outbound

This paper cites Cot-tl: Low-resource tem- poral knowledge representation of planning instructions using chain- of-thought reasoning,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Cot-tl: Low-resource tem- poral knowledge representation of planning instructions using chain- of-thought reasoning,

Reference 17

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source=pdf_text observed=2026-08-07T14:02:52.367393Z digest=sha256:b7176a6d731d0737f264869d5c41595e7ca69d018b623c85e78e4bfdc0cb4f26

Observation fa0f5f09-f282-4798-8530-8edec6a1ac0a · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving

Reference 18

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Observation 0925c016-6e7f-4623-b05d-652e7cb02c6f · outbound

This paper cites MedCoT: Medical Chain of Thought via Hierarchical Expert.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects MedCoT: Medical Chain of Thought via Hierarchical Expert

Reference 19

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source=pdf_text observed=2026-08-07T14:02:52.541026Z digest=sha256:9b49c71d991c312c5718b5564728b75038aa90b06ccfc39170ad8cf5924dc19f

Observation aa858c26-4e73-4fbe-99de-87ce904bccc7 · outbound

This paper cites Leveraging nlp in finance: A synergistic approach using large language models and chain-of-thought reasoning,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Leveraging nlp in finance: A synergistic approach using large language models and chain-of-thought reasoning,

Reference 20

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source=pdf_text observed=2026-08-07T14:02:52.651386Z digest=sha256:283c4ba2b1f276e6a56f6391ef42b2fcbca4faadaadba6f20513b2f0ca02f46b

Observation 63d556ef-4e20-4813-b7d4-3824b8e545b1 · outbound

This paper cites M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

Reference 21

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Observation fdb45d00-378f-4842-ae06-ce1331c8b08e · outbound

This paper cites Drive like a human: Rethinking autonomous driving with large language models,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Drive like a human: Rethinking autonomous driving with large language models,

Reference 22

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source=pdf_text observed=2026-08-07T14:02:52.852967Z digest=sha256:e08cc8ee46861f3f48da52b5ade0ab30ed19b65b4346d2621b5fb4b8fc198edc

Observation a46ddc6f-dd02-4bf1-a6f9-062712f95483 · outbound

This paper cites Learning autonomous driving tasks via human feedbacks with large language models,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Learning autonomous driving tasks via human feedbacks with large language models,

Reference 23

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source=pdf_text observed=2026-08-07T14:02:52.903770Z digest=sha256:7aa5e8edba57d55c2b394cf34daec7c172c515e76fca8e489dd9a4341591066c

Observation e0b987ba-5b9b-41d5-b6eb-36396d7ed565 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 24

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source=pdf_text observed=2026-08-07T14:02:53.015580Z digest=sha256:2637b470940666f9fa6111b67b813377c03c7df1620adad470eb835c91582f4d

Observation 89570ff0-2cb6-4843-b5fb-49a4ed124488 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving,

Reference 25

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source=pdf_text observed=2026-08-07T14:02:53.126310Z digest=sha256:f8e3fe70d201ebc61d05d2525fc2f63d8d17044e80dc56134313d2dfdbafe568

Observation 2404c084-287e-4f9d-9e11-1d38d0539dc1 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 26

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Observation 5bff2686-be74-40ae-afd4-161b0015a577 · outbound

This paper cites A Survey for Foundation Models in Autonomous Driving.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A Survey for Foundation Models in Autonomous Driving

Reference 27

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Observation d380e08a-d47d-4dcc-b2b0-3a284471ea20 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Vision language models in autonomous driving: A survey and outlook,

Reference 28

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source=pdf_text observed=2026-08-07T14:02:53.380505Z digest=sha256:91df0f70df7322c33cad99709d93edfe6e6ebbe2009ffa5492ce3a24fbe1fca9

Observation 9c71fd43-2ccf-4957-8110-e48dc76293a7 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 29

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source=pdf_text observed=2026-08-07T14:02:53.463046Z digest=sha256:930c577f6bd6518dfd96ca49f44d5e97c13fbcbbb9ef0ec6ac2a3e1dfb26363a

Observation ce7996c1-aa5c-4dd7-a350-50dd53c84a9c · outbound

This paper cites Towards Better Chain-of-Thought Prompting Strategies: A Survey.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Better Chain-of-Thought Prompting Strategies: A Survey

Reference 30

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Observation ac7e5d37-944c-422c-8a5a-38fa28eba77e · outbound

This paper cites Scalable end-to-end autonomous vehicle testing via rare-event simu- lation,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Scalable end-to-end autonomous vehicle testing via rare-event simu- lation,

Reference 31

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source=pdf_text observed=2026-08-07T14:02:53.625588Z digest=sha256:ba5c75f83d042d0f94b433b9b8563ef4a1df5229699a2b88fe5c20accd6e878f

Observation 1df2791b-3e0a-414b-8477-89e7bc5572fc · outbound

This paper cites Planning-oriented autonomous driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Planning-oriented autonomous driving,

Reference 32

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source=pdf_text observed=2026-08-07T14:02:53.703978Z digest=sha256:559038b541d5d7da357cd01eaec20033d210ea04e661668a5dc7e84d77d82aee

Observation b4d420e6-92ac-4c59-bc5b-3c21e935d068 · outbound

This paper cites End-to- end urban driving by imitating a reinforcement learning coach,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects End-to- end urban driving by imitating a reinforcement learning coach,

Reference 33

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source=pdf_text observed=2026-08-07T14:02:53.785427Z digest=sha256:763fa6d0ad45ad4fb1716d594a71f92e0927c8d3fe58761bcb85f7e2eba3ff93

Observation 13f16675-bee9-4212-a350-f90047c6ff8c · outbound

This paper cites Imitation learning for agile autonomous driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Imitation learning for agile autonomous driving,

Reference 34

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source=pdf_text observed=2026-08-07T14:02:53.892072Z digest=sha256:755a2e8d0f60b41ae06a203a8936558a405b06b34e1503cc3aa1f0ed3ff3e904

Observation 01ca70c2-8d5d-400c-8768-4e9791b2371c · outbound

This paper cites Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network

Reference 35

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source=pdf_text observed=2026-08-07T14:02:53.985148Z digest=sha256:7c6520470baafe7f66ef9de110d3f9352fac9e706a8758d090ce26d9a0ba0e08

Observation 4a27b592-bf88-4d50-9219-6458d5b231fd · outbound

This paper cites Towards Knowledge-driven Autonomous Driving.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Knowledge-driven Autonomous Driving

Reference 36

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source=pdf_text observed=2026-08-07T14:02:54.058433Z digest=sha256:b0768e0a5160c2279e54e87328c503c32549ebeca42709b39acb96709a0321da

Observation 336eb2e5-13cf-4e70-b52a-a597374c2426 · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Congested traffic states in empirical observations and microscopic simulations,

Reference 37

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Observation 2a2fbc21-9181-41ab-a80f-9f956cecbe48 · outbound

This paper cites Rule-based optimal control for autonomous driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Rule-based optimal control for autonomous driving,

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Observation 2fc2b7fe-41f5-4e21-aab2-dd0184e877b4 · outbound

This paper cites A reinforcement learning-based adaptive path tracking approach for autonomous driv- ing,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A reinforcement learning-based adaptive path tracking approach for autonomous driv- ing,

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source=pdf_text observed=2026-08-07T14:02:54.311092Z digest=sha256:3157cdb3310603ca630219d96f5bf3ff57aa539f6c5a30644d1b093153b28052

Observation f996e140-bef9-4197-a12d-3c36c83a1b35 · outbound

This paper cites High-level decision making for automated highway driving via behavior cloning,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects High-level decision making for automated highway driving via behavior cloning,

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source=pdf_text observed=2026-08-07T14:02:54.371801Z digest=sha256:a54e6ddc6ab67e7568ec9d288524f7e11c17c8fc1f6a38dc0aaaccd1f7b348e4

Observation ebf6e2f3-88bd-405e-bf7c-64f98b633b77 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

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Observation b31184b9-f863-4bba-9aa7-5523647c443b · outbound

This paper cites WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model

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source=pdf_text observed=2026-08-07T14:02:54.573103Z digest=sha256:9ec7541cd60a5d74d53984e26d244d037782974d6e69533daa563fc85d2c4258

Observation 533c5f6e-0975-4463-8d09-65b22f1d17a2 · outbound

This paper cites Brachman and H.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Brachman and H

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source=pdf_text observed=2026-08-07T14:02:54.635612Z digest=sha256:9c68ccd575f2a37c00803342ebe1c236975bf6ece5e0378b79a8f0d5447ffc99

Observation b91d63d8-6028-4394-83f3-e7d694b1c80f · outbound

This paper cites Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

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Observation 26703b63-7af4-4b00-9a7c-07bb6f5f9b92 · outbound

This paper cites A comprehensive study on self-learning methods and implications to autonomous driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A comprehensive study on self-learning methods and implications to autonomous driving,

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source=pdf_text observed=2026-08-07T14:02:54.860445Z digest=sha256:9d41e0b537e31d9b59700bf3de9a3680a3a1c1957bd813cbbe0d3d101ecd2eba

Observation fa058ea4-baa8-4583-92fe-16da88d1ba72 · outbound

This paper cites The role of world models in shaping autonomous driving: A comprehensive survey,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects The role of world models in shaping autonomous driving: A comprehensive survey,

Reference 46

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source=pdf_text observed=2026-08-07T14:02:54.934732Z digest=sha256:af0d06d4e49230d2aa431ff437cfbc730eb1d6c4b2fa77ebd0dbd6907292ae61

Observation ab429029-08fe-411a-a344-2390bf1f48f7 · outbound

This paper cites Curiosity-driven exploration by self-supervised prediction,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Curiosity-driven exploration by self-supervised prediction,

Reference 47

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source=pdf_text observed=2026-08-07T14:02:55.052803Z digest=sha256:a2891b35e9ca6774a3ac4f0ab3f0f8c7f54bcf6d3b767ca0404a0061d1eb31ad

Observation 99b8eb33-5605-49a5-8aee-37cc8fbeab6a · outbound

This paper cites Enhancing autonomous driving through dual-process learning with behavior and reflection integration,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Enhancing autonomous driving through dual-process learning with behavior and reflection integration,

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source=pdf_text observed=2026-08-07T14:02:55.158127Z digest=sha256:f937cbc126c01c10bd93618cd87539a2994caff9826372fbf0bcb26690976da2

Observation 725eb47e-cb08-4a10-981d-25af9d6245b4 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

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source=pdf_text observed=2026-08-07T14:02:55.273259Z digest=sha256:cf550a88132383feb9e2b9988c31873d2e54bab69111d74347fe913515b5f856

Observation 019aeed8-ad03-45d8-a6ef-6fa04966190c · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Gemini: A Family of Highly Capable Multimodal Models

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source=pdf_text observed=2026-08-07T14:02:55.374948Z digest=sha256:9463fce167712d3416a94b7897be676ae60ec8e4941a48f3cb6c9097250b3c17

Observation a10b06be-4b14-4f46-9e31-4e9c62b0573f · outbound

This paper cites GPT-4o System Card.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects GPT-4o System Card

Reference 51

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source=pdf_text observed=2026-08-07T14:02:55.436788Z digest=sha256:6385e3bc94e3af08590fcb9a911f2ad6df981e21c31596ad8c9e559988ab077b

Observation 6f58b97a-8393-4891-8ef3-1673de7ac92a · outbound

This paper cites DeepSeek-V3 Technical Report.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects DeepSeek-V3 Technical Report

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source=pdf_text observed=2026-08-07T14:02:55.533148Z digest=sha256:9739806d9f09aa7eb2785c9b404506c0d7fae945ee73e0d2c7d0817fb8446342

Observation 0e80ff4e-2037-4898-9829-b1420011be5a · outbound

This paper cites Enhancing Advanced Visual Reasoning Ability of Large Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Enhancing Advanced Visual Reasoning Ability of Large Language Models

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source=pdf_text observed=2026-08-07T14:02:55.604831Z digest=sha256:65b14b2eaa5286d931e7493ad83b6a950906dc64982a33577251245ac2fa4b16

Observation 9bf7b884-fd2e-49a7-9980-3b5bf327536f · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects MM-LLMs: Recent Advances in MultiModal Large Language Models

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source=pdf_text observed=2026-08-07T14:02:55.661646Z digest=sha256:76e4acce05d0e83a3c9e34dd46a03145d9e2a8b603f4b5834cd5779271e4a35d

Observation 58e388ac-6946-4a66-8d9a-accd269b82d1 · outbound

This paper cites Visual Large Language Models for Generalized and Specialized Applications.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Visual Large Language Models for Generalized and Specialized Applications

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source=pdf_text observed=2026-08-07T14:02:55.719810Z digest=sha256:8510fe0ccde7643a98c8c38c9c16fd8642eae5a51d5453966f22457f86fadf81

Observation 9fdab3cf-cd22-429e-96dc-6a66b5e280e7 · outbound

This paper cites Opendrivevla: Towards end-to-end autonomous driving with large vision language action model,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Opendrivevla: Towards end-to-end autonomous driving with large vision language action model,

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source=pdf_text observed=2026-08-07T14:02:55.828210Z digest=sha256:a6072126c66cb49b160c1c8c2440b9fb73f71517d9809fa0d46c9162651dc533

Observation b89d0e49-2a1c-4d4f-ac52-577db36fbdc1 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

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Observation bee5e22c-5fb3-4f0c-8512-3488c0aa1ae2 · outbound

This paper cites A survey of efficient reasoning for large rea- soning models: Language, multimodality, and beyond,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A survey of efficient reasoning for large rea- soning models: Language, multimodality, and beyond,

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source=pdf_text observed=2026-08-07T14:02:55.993367Z digest=sha256:a8ce7b905c50f89b85f4ccbbbc9d2ca552daacc32e7352ceff009a2a6b7cb1de

Observation 4c45481f-929c-4ebe-aed3-1afe8b173b69 · outbound

This paper cites Language models show human-like content effects on reasoning tasks.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Language models show human-like content effects on reasoning tasks

Reference 59

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source=pdf_text observed=2026-08-07T14:02:56.061494Z digest=sha256:fe1eb23787c300a322a14ac0b2248303e5dbe108050365d89f3723177dc3e2e5

Observation 59eae496-43f2-4f92-a190-689ab3753902 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

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Observation c9ce969c-c73b-435a-97d6-46290be719ab · outbound

This paper cites Let’s verify step by step,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Let’s verify step by step,

Reference 61

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source=pdf_text observed=2026-08-07T14:02:56.227423Z digest=sha256:8fd75e56605575849d178f63ff6defd0d85b81509e9f380e3f26ff4b8782ddb1

Observation c7989f9e-a768-4632-841e-a03eab871c72 · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Large lan- guage models are zero-shot reasoners,

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source=pdf_text observed=2026-08-07T14:02:56.322360Z digest=sha256:c420814879f86127c03f1f98a779d392270e17051093fe4cd761028de0b8e8fc

Observation 8d23f732-cc91-46cf-81a5-af025008f3e6 · outbound

This paper cites On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning

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source=pdf_text observed=2026-08-07T14:02:56.412306Z digest=sha256:0acdf3b34b88a046563daa9d1081890d3a6302d3bb5bb01aa8e0ff93fffe550a

Observation d6b79275-e562-4289-9fe0-c0b130dfce09 · outbound

This paper cites Supervised Chain of Thought.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Supervised Chain of Thought

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source=pdf_text observed=2026-08-07T14:02:56.529809Z digest=sha256:7be7c3d35fff9817b3d5765575defcc7dc0b73e21938048c7d71f50009386389

Observation 69270bdb-1169-4a6e-b25e-f34ee9cef0e6 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Self-Consistency Improves Chain of Thought Reasoning in Language Models

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source=pdf_text observed=2026-08-07T14:02:56.641227Z digest=sha256:dec9445064847c69e7b95b81469256f032a99c766473ec66b4fbda0f490479b1

Observation a84f319a-5d5b-4e99-9b03-4051eba9346b · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Tree of thoughts: Deliberate problem solving with large language models,

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source=pdf_text observed=2026-08-07T14:02:56.761642Z digest=sha256:a80cf5f97f7ba29881c29d46b145315c9c324f15823256beb2fed9c927b5184f

Observation 10955948-506c-4d85-9d07-9ed73a2b22a2 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Graph of thoughts: Solving elaborate problems with large language models,

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source=pdf_text observed=2026-08-07T14:02:56.815291Z digest=sha256:ab99985550b605f641a3a7d8bdb0a3b1ba71bf163b910cb31d5f4165d5b1748d

Observation 7d95eca2-2377-423e-ac5c-add77ad57053 · outbound

This paper cites Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning,

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source=pdf_text observed=2026-08-07T14:02:56.911862Z digest=sha256:36a26988fe513b9c660581862438e9104395d9a422fb3a3196957f16ef65eb64

Observation c8763ff9-10b6-4436-a687-abc1eb4f5234 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Multimodal Chain-of-Thought Reasoning in Language Models

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source=pdf_text observed=2026-08-07T14:02:56.990545Z digest=sha256:c28c65b3195c6b3b7c791244cba81acee62cc51171df731b6962516aaed88324

Observation e45595e9-31c2-4450-b34c-7b47859967f1 · outbound

This paper cites A Language Agent for Autonomous Driving.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects A Language Agent for Autonomous Driving

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source=pdf_text observed=2026-08-07T14:02:57.079563Z digest=sha256:2be2be6085c12be75b4956bb932d808738878d433d2dcdc2db1a4f41cd3aab4f

Observation 86859163-4c97-4365-8de0-168e9ceacb07 · outbound

This paper cites Dolphins: Multimodal language model for driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Dolphins: Multimodal language model for driving,

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source=pdf_text observed=2026-08-07T14:02:57.130889Z digest=sha256:63aeb021a78f40b1e05ca3fec9ae829aba2ca89699d98943bc4b74b1ea724a86

Observation 1a976bd2-47d8-4e8c-84cb-cafa5d8ac1f9 · outbound

This paper cites DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving

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source=pdf_text observed=2026-08-07T14:02:57.346857Z digest=sha256:2c4c6e5bb752b9e4eea84d6d2f85dfb5e2f09eb9950802368abfcec5a3deff57

Observation 4b9637e6-6616-49a8-9092-0bcbe7df8dfa · outbound

This paper cites Agentthink: A unified framework for tool-augmented chain-of-thought reasoning in vision-language models for autonomous driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Agentthink: A unified framework for tool-augmented chain-of-thought reasoning in vision-language models for autonomous driving,

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source=pdf_text observed=2026-08-07T14:02:57.428840Z digest=sha256:41235f8ad9c4ab74ae410346a79b26445a899c48e6627130bb198061d98b8b2f

Observation c0253f50-8516-4e93-afe4-6528de626d2f · outbound

This paper cites WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving

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source=pdf_text observed=2026-08-07T14:02:57.503593Z digest=sha256:67e62ca4490dba72e82e09c879b9c9ad00e3dda67f4424af7f4e2051effbb3f4

Observation 33030df3-64b5-41d6-9807-be7af78f4b4a · outbound

This paper cites Lc-llm: Explainable lane-change intention and trajectory predictions with large language models,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Lc-llm: Explainable lane-change intention and trajectory predictions with large language models,

Reference 76

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Observation 438c2878-122b-49ba-ae7e-c800e41cba86 · outbound

This paper cites CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting

Reference 77

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Observation d659b427-3f25-4226-9bb1-cc8ab43fa427 · outbound

This paper cites Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving,

Reference 78

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Observation 4b644a42-ab1f-43da-86a3-c2e2ef9add01 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects GPT-Driver: Learning to Drive with GPT

Reference 79

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source=pdf_text observed=2026-08-07T14:02:57.960590Z digest=sha256:7a5b275d558a2225e63d7a71fcf5a4c88d21dc47eefcacbed7748efa85d6180c

Observation b0bbb771-66a6-4a8a-907a-eee50c28535e · outbound

This paper cites PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning

Reference 80

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source=pdf_text observed=2026-08-07T14:02:58.045250Z digest=sha256:251e1755a95a68d7f6955cc180a6f65bf3d058afc71d2290755f680928a4af55

Observation 8009065f-c0b8-4d73-9b7e-edcfe63ef469 · outbound

This paper cites Making large language models better planners with reasoning-decision alignment,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Making large language models better planners with reasoning-decision alignment,

Reference 81

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source=pdf_text observed=2026-08-07T14:02:58.107465Z digest=sha256:34a175bd6e26b0942a4f54501b8f12211bb64718bf5b6bd71350057b3f996431

Observation 5d983f1b-6112-4734-b754-ecf33dd94428 · outbound

This paper cites CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 82

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source=pdf_text observed=2026-08-07T14:02:58.164947Z digest=sha256:0396874e017a1bb86cb5005bb90d77082dd4fdb40fb777f2daacc81e3ac814d2

Observation 1342867e-698f-4a1b-af73-1e03b04330da · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 83

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source=pdf_text observed=2026-08-07T14:02:58.221495Z digest=sha256:b2ccb9cc490f406d9bfeb5c4ecc57f36936fb909126d6a0250b542d0816030fe

Observation b8fd56e8-2f6b-4497-ba57-97ad5673dfd8 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,

Reference 84

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source=pdf_text observed=2026-08-07T14:02:58.300913Z digest=sha256:0679aeda23a71589beb655b95b96ee5c2d1cc196c9cb96b22841d098fe02391f

Observation e1944876-daab-4a24-9daa-0e3ff14e2be0 · outbound

This paper cites Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,

Reference 85

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Observation fe7aab82-47f1-43fc-860f-10d3ec8f08de · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 86

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Observation b9147da6-92da-4b44-8d0a-d3684d266fae · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models,

Reference 87

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source=pdf_text observed=2026-08-07T14:02:58.566560Z digest=sha256:ee22b46c19edcf7e2bba8d8755ae5933740e6ffd09814c2263cb6a7ed9230257

Observation 8398f75a-5361-42d9-9f88-f5c20e7560c5 · outbound

This paper cites LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking

Reference 88

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source=pdf_text observed=2026-08-07T14:02:58.722975Z digest=sha256:d4275ab7c0e3ac8d2b052e0de55b5bd2c9eec848bed006d83a8b2e5f4a221247

Observation ace78cf1-4abb-475e-8bf7-299784da8b66 · outbound

This paper cites Towards interactive and learnable cooperative driving automation: a large language model-driven decision-making framework,.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Towards interactive and learnable cooperative driving automation: a large language model-driven decision-making framework,

Reference 89

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source=pdf_text observed=2026-08-07T14:02:58.748016Z digest=sha256:fc1ce3a134084483e2001e748ebf0e2e573fa34ecb873ad7f8acf986e5497079

Observation 6028f8df-0b6f-4b2f-9eb4-e6768ccdc293 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions

Reference 90

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source=pdf_text observed=2026-08-07T14:02:58.819226Z digest=sha256:46f51680b079adeb8236c01b04679bf463836a285f86dc1a18a661f0591c3126

Observation c52f52a6-4f4a-4739-a517-96602ba5cd5c · outbound

This paper cites CoT-VLM4Tar: Chain-of-Thought Guided Vision-Language Models for Traffic Anomaly Resolution.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects CoT-VLM4Tar: Chain-of-Thought Guided Vision-Language Models for Traffic Anomaly Resolution

Reference 91

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source=pdf_text observed=2026-08-07T14:02:58.917418Z digest=sha256:bc2ab5b41168a36c81c66b63f169f75f46409c8de5070130c5d403286ef67ba9

Observation 1db9f38a-e9e0-456b-9d23-ddc32585e5f6 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Driving with llms: Fusing object- level vector modality for explainable autonomous driving,

Reference 92

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source=pdf_text observed=2026-08-07T14:02:58.972761Z digest=sha256:554a44dd92464bfc078c73deab2df4057fa2a4df92ca177ad6bfd53115060d69

Observation 6112b04b-b21b-42c0-8343-41bf91c9b765 · outbound

This paper cites PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving

Reference 93

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Observation e7b23de2-57a7-4eb0-94da-306427ab069e · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Lmdrive: Closed-loop end-to-end driving with large language models,

Reference 94

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source=pdf_text observed=2026-08-07T14:02:59.152728Z digest=sha256:3deaec6018a9501a1b7694017c98f3c0be16098a9ca44adcc9557429f2ea57f1

Observation c137c517-49d6-4c2a-b82a-2f60997cb992 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 95

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source=pdf_text observed=2026-08-07T14:02:59.214181Z digest=sha256:75fdd42c5560f05591a3a363a85fca7211bddd9265a15ed2f18060d7ba62e5a0

Observation 7f82752d-79ba-4596-89fc-f95505f91d93 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 96

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source=pdf_text observed=2026-08-07T14:02:59.268872Z digest=sha256:dbade9ecf22e64d8dcd8be3abeec011080ee85a6dda675172460ee0ae7adfc40

Observation 1d5bae29-817a-4688-a364-a03aa25759e7 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Open- emma: Open-source multimodal model for end-to-end autonomous driving,

Reference 97

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source=pdf_text observed=2026-08-07T14:02:59.381192Z digest=sha256:dcbdb806bd24d70d25eab8d816e90f1e5e5169dfdde6e453ea9b668102d05ac0

Observation 054ed74c-2592-442b-a7a7-93def5e3ff10 · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving

Reference 98

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source=pdf_text observed=2026-08-07T14:02:59.475959Z digest=sha256:a3366a55bc43f8591c31436ef165a147c272c39c4181f401a9b7d6214c3f49d6

Observation e290753b-d5b2-4504-8224-24a145bc65f5 · outbound

This paper cites ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 99

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source=pdf_text observed=2026-08-07T14:02:59.550521Z digest=sha256:3768c0edfdc1879c949ea9eba972e4c534ea8dd3bcfd4deae0d03d812998ff10

Observation 20fec2c5-d5fd-4d98-a4a5-3e9820e0e38a · outbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Drivelm: Driving with graph visual question answering,

Reference 100

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Observation c61f6775-56e9-4bcb-a934-453ab960b3a5 · outbound

This paper cites Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 101

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Pith citing papers

Observation bb544cc9-b712-435f-b5f1-ee1b4e55acd0 · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects

Reference 23

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Observation 8d37abe9-23ac-4080-ad9d-a0f790a35bc1 · inbound

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving cites this paper.

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects

Reference 7

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Observation 856e9142-c5c8-474b-941e-52bcb2c35059 · inbound

C-CoT: Counterfactual Chain-of-Thought with Vision-Language Models for Safe Autonomous Driving cites this paper.

C-CoT: Counterfactual Chain-of-Thought with Vision-Language Models for Safe Autonomous Driving Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects

Reference 11

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source=pdf_text observed=2026-05-12T04:09:34.785664Z digest=sha256:09b39883a2192e00f47695e2dd7c732893076336e9c94e79df7cd8f3228588be