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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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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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=sha256:1c82795b640bfedfbfbec44edb8d4f86d3bdd595f301572cfdf54d76cf0c9488

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:d3a4055beba1dcc38cafa0b4d7ad520a64a40d11c41156888229f3201a76add2

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:cb2a7f24d81f930aeaee298c5d9d68921a9640f551ba9cb910ba96135f355a8b

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=sha256:1f81fda76c31618add503917442c57134d687e4646672b2c4c55fb106e452563

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:e7cf5c5d4d029d03d6ff4cc6eac026c4f889625fd7c45e592d47670387a17c82

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=sha256:89487156bb9dfbf0eac09b56b4d59642d579634cd5e0027645ed01d781a6f894

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=sha256:1429266fdc165fe0b66961f5bded90ea4dffed007817916f48eb794542cf2958

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=sha256:3dcf2018d43759d2fa9dd96e1590b54c05c77ffb0d780a79d5bf0b0af1b26b4c

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=sha256:416d67b9787ef18db9eb4d29c6357a03110a4edcca7e56bc27784a6b7a05294c

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=sha256:671750d946c1a750b7f4d913a41ab8d48fc1219b3201807702dd87ba0655cc43

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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source=pdf_text observed=2026-08-07T14:02:52.458348Z digest=sha256:9266a9890f7374d0590d1d933a57b928172a8ba8a141e7daa3804afd14c20147

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=sha256:4065800439e2dcc72e7c6147c9e5b03fd9b7d4a5c0603223872804298771eff8

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:d0855c355aa7c1f78e7de88b758ce9ff3efc0f3c65dced761def7fe751366036

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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source=pdf_text observed=2026-08-07T14:02:52.740516Z digest=sha256:0be663a35173f39698935e9019d58d422134d35a17889c9739a48a0706fda222

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=sha256:4519fa97c9d3d6866507bd58d9259dfce9df5327bf851c0c92996e4428f18e62

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=sha256:72c9d3e2c2a96c3a90bc74fbcca20d6fef30b8b1cf2d9e60cd999ec15726809e

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=sha256:4e57b2b72753e2a2e054c650a9dd7cf05af408966940e942aea175af96e84064

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=sha256:983bf6fa0214b2668ac95a8c0085c309a84f0df2aeeabba140c2988c4fd258e4

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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source=pdf_text observed=2026-08-07T14:02:53.174375Z digest=sha256:0612961026c681ac7fe14360b26596492b9553cf6a5ec3087d6b437fc302ecf9

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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source=pdf_text observed=2026-08-07T14:02:53.294595Z digest=sha256:cd2875cc1307ef03873afe85f572ca718bb8e574c4b06ca665a3775fe5275ac3

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=sha256:52a5fe157486a4d4b6623f05a43cfec809ce147bf1163e0022fe98fa4a7d2075

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:eff2ab0028e4634bb36c350e6353b9e439e6eef24dae8da8444271e567d6b3e9

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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source=pdf_text observed=2026-08-07T14:02:53.517484Z digest=sha256:6711247c51386e8c6491ddc810be12705c9b64fe3d6f829a6cacc80b9a7f4c19

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:d3ad222b0e2fb8625caa1e39103e1844285369590d6463c16779d9a7cfbc3df3

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=sha256:1d40d7826ab9aaab9ba7d82536136c641d1bb0f1cdd1e455499589d4e9568358

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:b03a522900a5173abd461663e8fc1a340e80ce945ff3f3b12cbd1a790badd9bb

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=sha256:986420edd9ed03b343436b4c45645e1b8f039a676342e5278b926ebb0d274cc1

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=sha256:28b5b3f65cffad42799ea3c4c45fd05e1373de81b845992744999445c7be480d

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:ff13a13a9fe85e119bb7fec90542cc54da8e2c2da787cf8271c52f9d197a326e

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,

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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:bd4f5e894b6249ee46a13cb0a9dd728b2f208b45d2cff3b9fa58d96fa6bafba9

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=sha256:451283aabbfa2ae127d982b016a03a64243c9f0f3710b9ea006d8d2918117029

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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source=pdf_text observed=2026-08-07T14:02:54.489719Z digest=sha256:d371197a7f1f2bfb0d69e9128247b2efe134c2cb376fe3f69966cb8fccae6841

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:d5377d4b4ba471ae7a843818b9590c139a2aeba103b8297907b13400e9a472cb

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=sha256:82a6b0602b38ef4e500e0ba6f12b9f24721cb54358cb271248ddba340c0c120b

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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source=pdf_text observed=2026-08-07T14:02:54.752609Z digest=sha256:1d68f99f954998bcf091971ecc8443c7f1de2e8ec5b54be12a896e713ee18a0f

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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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,

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source=pdf_text observed=2026-08-07T14:02:54.934732Z digest=sha256:ad76d6b3a86e3a3d5a0e16122e076d3a3ee259bda87c51842e86ca57ed6f4e28

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:dd27b30b6d94cb482a09d9027c4ebecff7a7778734cf4ee3cbe03d244b12217c

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:cd536ac1fa7f44a03315206ccff2e3b71a3402abc159fb9d328bfffde8ca18e2

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=sha256:2b161438e48be27715199334f9109e5845a0aad6c43065749258cdc3d55b2b9d

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=sha256:19d1176dd4f27e832e20fc927a3ae85bb81c3aea7b30498f40e7364cf32421e9

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=sha256:8eec80cf00087607d720b9e099047913a9f03c6dc767c1a475eb031e44f6d968

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=sha256:7b2a1b8bbddc7f6cce2649cfcba9c012cb90e743b504dadc86e050ee83003216

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:df3fd59a9a8b8d083bf7431a2cbb84941609ea3bd49e4dbd92f2543f37c5f1ca

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=sha256:9c0b85b97047e75cb5711d7e0751ffb28b9bf55734af81603e4042d15cfaffd2

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=sha256:3c5c04eb5e95e22ce86c3b50448238a8e1f3090eecb5c650c7dd95a77ab3f71c

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:bbd84ca14a14fcc57456e700fe9485bccbe882ea2430b5bdf056faa8e2ebbe9b

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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source=pdf_text observed=2026-08-07T14:02:55.924550Z digest=sha256:2cedaf90a52fd77ac40efe0220b605e7c692639d98886a152a16abfdab021eb9

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=sha256:3c440a513bafb3499ca5e41599a6602cccb3cfd12e351159b82418d8998b04fd

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=sha256:984f6b8b44fdc608d69f0ac7da9b510b64a333d056e5c2eac86b4a6b6364bcf9

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

Reference 60

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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:e613261fd77a6450def1ee89dff275222cfcf0329e395cef0be0f4aed9723c8e

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=sha256:82e8fd408e4fa6a1a1a939adbb3952ea0ec967debfd32654007246a078b02791

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

Reference 63

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source=pdf_text observed=2026-08-07T14:02:56.412306Z digest=sha256:6808679f3b7fb427219ec6f30c70ff8f5fa7b4c7023c2d942f2401d12f48ad4a

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

Reference 64

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source=pdf_text observed=2026-08-07T14:02:56.529809Z digest=sha256:3b15a0101ba74105c0854fa1c1c961c0b073b8889ea75b439d614620f914e9d2

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=sha256:80e555422a75af0385be221e828609ff98dfdafcc26f60dfd644344c690d9a9d

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,

Reference 66

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source=pdf_text observed=2026-08-07T14:02:56.761642Z digest=sha256:afadfa7443f02866e1d2bacdb174d7b543c791f415fa1422c77b595ccf5bdcfd

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=sha256:1cc522513f308337a476e0611fc55b0273a601535e6b115ac5fcdc6af9cf0414

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:c4464fcf748ed01decc79028073464e496920239298af94c96f76b1fbcdf9f04

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=sha256:2c61c54519b63b226cac37688e4cd584e6251a500560b9485e62acf64617cbc5

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:eb3989cc6262d85a448057078032ebec5b8c5f59822bb43e6f4ccb64ad5c7603

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:a12294e4b4e8fb79e4812d3c1179017b77f480daca8aa03d850d59d48c18c0bd

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=sha256:223b045b8e1cdc1331350125e252f648cc00004498f01593b5ea7b096cdbafda

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=sha256:8b00392ff62566a1dc16ee15b37766643fc0cec8667f5d9fcdb7090b5aac8c02

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:fe3e33814aa1a741e3ae25557a4eaf99017640cfa0a3d947ed3904bc3e8c5278

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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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=sha256:7e75d19031d7b62f8a4392705dd4e2e0d2b0881934abc32d37e51f4070a33129

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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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:fc2d808454b255dabe48c3eb5e25d92da17e5c30a9a68712c34327d360af37f8

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=sha256:72f1851d74c16939f4af32b13bca77bd428e81de357436c2f7eedda23c89a4a1

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=sha256:253211b47ca233d41d2ee90a8614757b38bb9701815a7f3f16469da181d0a116

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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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:a0d04e78bcb3bd7c2e09dd9f56cbe23cdda1b386ef97ade7a9c3f7cd12ce1a29

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=sha256:8d82c8007d2dae426e8640ea284dd57c48d75e83192f78db90ace0dfc77ba25e

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=sha256:36eac20efb1b5c988d84ed79d8b9522d2f674389e0108ce7c092f2abb6204d6d

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=sha256:6e575a417b018c78f37918b1c9d914f17a1b59b52a79b25daf57f81da99f48ee

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:cdb18c6a8f85a0433684b28bb9731b99ccb3b344aa8d93ad7e33583f6bc4e121

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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source=pdf_text observed=2026-08-07T14:02:59.049315Z digest=sha256:d74a7828d33f59eea011538f3f99dadc369b622083e5878a4c8b39a612e58e87

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=sha256:15456124b3b5cd56ec7c3c52f95106a09ef192f734ae5d97a1eca0fc99c8190d

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=sha256:30e44332ed9d3327e6b1b13b2f071bb7efb8c893a54a40d7d96499ca19f214cb

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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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:dcdc7a7311ed3243f68e00de8a4467b5e4ee8c95bdba381f4dd57d491cc7953d

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=sha256:704f15ee10462b051e8db381210794645a7bdf8fc87d1adac3340c3eb783ae7f

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=sha256:6f7b7d294eb15650dcf8f1381e7d4f9a9e54a04b9e1a3b561ce4dd02bd736f20

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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source=pdf_text observed=2026-05-10T00:38:30.267653Z digest=sha256:b56c569cb42ec237abe9e56cced30c137a68e76449e6e14efe889f2797fdcacc

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=sha256:52d7b0a220ca8c3f4b498ae150a5660a13a134d0e4b08d31674ab4ba9f5b3076