Paper Citation Record · LEDGER

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 4 inbound Pith citation observations for arXiv:2502.01387.

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

pith.paper-citation-record.v1
2502.01387 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:32:47.798000Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:34:58.272599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:12:59.601892Z

Reference resolution

37 of 37 outbound references displayed

verified exact1
verified fuzzy18
unresolved18
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9dd55264-7cce-4c7a-8402-a57b1e5bb506 · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles: Survey of surveys.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Milestones in autonomous driving and intelligent vehicles: Survey of surveys

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.152150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05e9892-c22c-47ca-89b3-28ccea3a0aca · outbound

This paper cites A survey of end-to-end driving: Architectures and training methods.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning A survey of end-to-end driving: Architectures and training methods

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.851181Z

Source-reported events for the cited work

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

Observation 9716cfdc-aef6-4d9a-9889-978e2efac90c · outbound

This paper cites Survey of deep reinforcement learning for motion planning of autonomous vehicles.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Survey of deep reinforcement learning for motion planning of autonomous vehicles

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.830625Z

Source-reported events for the cited work

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

Observation 2f5643e2-cd48-4c20-8176-e149abfba87c · outbound

This paper cites Deep reinforcement learning for intelligent transportation systems: A survey.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Deep reinforcement learning for intelligent transportation systems: A survey

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.811813Z

Source-reported events for the cited work

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

Observation 64d7ba2b-ebfd-4d62-954e-f7fb5b9e1c8e · outbound

This paper cites Mtd- gpt: A multi-task decision-making gpt model for autonomous driving at unsignalized intersections.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Mtd- gpt: A multi-task decision-making gpt model for autonomous driving at unsignalized intersections

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.795599Z

Source-reported events for the cited work

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

Observation cfd9efa2-15a3-4b2d-ac73-1aa048226df4 · outbound

This paper cites Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.778046Z

Source-reported events for the cited work

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

Observation 2aa94618-d0af-440b-a6b8-5cc2b3f869d1 · outbound

This paper cites Automatically generated curriculum based reinforcement learning for autonomous vehicles in urban environment.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Automatically generated curriculum based reinforcement learning for autonomous vehicles in urban environment

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.760486Z

Source-reported events for the cited work

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

Observation 5a4c91ca-18f7-4510-9cfe-9a168589c8cd · outbound

This paper cites Cooperation-aware reinforcement learning for merging in dense traffic.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Cooperation-aware reinforcement learning for merging in dense traffic

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.355455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c9f0ec-4ca7-4c5e-9c62-0e8253226d8a · outbound

This paper cites Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.733305Z

Source-reported events for the cited work

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

Observation 81181629-bcfe-4b44-9b55-aeca5ad8c1aa · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Deep reinforcement learning for autonomous driving: A survey

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.716917Z

Source-reported events for the cited work

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

Observation e0c72b31-de34-49c4-b86e-197ad2ed81f9 · outbound

This paper cites GPT-4o System Card.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning GPT-4o System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.368954Z

Source-reported events for the cited work

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Observation 1708a841-88ed-4ba8-a1d7-5bde8e73b94c · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Llm4drive: A survey of large language models for autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.674726Z

Source-reported events for the cited work

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

Observation f9799add-458c-4afa-8f06-9b94c6bb0190 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning A survey on multimodal large language models for autonomous driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.379887Z

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Observation e0bd28e2-0cab-4bee-82c6-aae32894adb2 · outbound

This paper cites Drivegpt4: Inter- pretable end-to-end autonomous driving via large language model.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Drivegpt4: Inter- pretable end-to-end autonomous driving via large language model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.593825Z

Source-reported events for the cited work

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

Observation 1ed7dfe5-cb8f-4b47-bf50-ba9c962c32e5 · outbound

This paper cites Drivellm: Charting the path toward full autonomous driving with large language models.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Drivellm: Charting the path toward full autonomous driving with large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.533213Z

Source-reported events for the cited work

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

Observation b66a7362-5dee-4d77-a941-e9963bbe5c7c · outbound

This paper cites Cooperative decision-making for cavs at unsignalized intersections: A marl approach with attention and hierarchical game priors.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Cooperative decision-making for cavs at unsignalized intersections: A marl approach with attention and hierarchical game priors

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.462313Z

Source-reported events for the cited work

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

Observation 6b3677b4-de4e-45ce-9d71-9435dfdde126 · outbound

This paper cites A reinforcement learning approach to autonomous decision making of intelligent vehicles on highways.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning A reinforcement learning approach to autonomous decision making of intelligent vehicles on highways

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.437159Z

Source-reported events for the cited work

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

Observation 21345b95-8157-4921-a667-2da2d66135fd · outbound

This paper cites Proximal Policy Optimization Algorithms.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 18

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Source-reported events for the cited work

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Observation 1f9995f5-ff47-4241-b075-0dffa0b6346b · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.406469Z

Source-reported events for the cited work

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Observation 2c845b82-e7df-489f-823e-95f468d40a19 · outbound

This paper cites A survey of deep rl and il for autonomous driving policy learning.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning A survey of deep rl and il for autonomous driving policy learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.411764Z

Source-reported events for the cited work

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Observation 89537664-88ad-461c-95a2-3f24e01b8584 · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.416758Z

Source-reported events for the cited work

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Observation f46c1dc0-6a0a-4e34-99d7-73d578566df3 · outbound

This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine- grained correctional human feedback.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Rlhf-v: Towards trustworthy mllms via behavior alignment from fine- grained correctional human feedback

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.409442Z

Source-reported events for the cited work

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Observation cc861c97-7743-4a95-8fe8-7c01c386f401 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Towards interactive and learnable cooperative driving automation: a large language model-driven decision-making framework

Reference 23

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Source-reported events for the cited work

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Observation 114e9595-d9b9-4681-89ad-4120a37d3135 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.430986Z

Source-reported events for the cited work

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Observation 473a9fc8-e6f9-4d52-bce8-e9a224567fc2 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Drive like a human: Rethinking autonomous driving with large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.436262Z

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Observation e096bb22-b76f-4c7d-ae22-529a61b30b45 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.440437Z

Source-reported events for the cited work

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Observation b84cf42e-8172-48f9-801e-6deaed7927d3 · outbound

This paper cites Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:32:47.912074Z

Source-reported events for the cited work

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Observation 03215456-93e2-473a-8a9b-488b68c66eff · outbound

This paper cites Large language models are semi-parametric reinforcement learning agents.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Large language models are semi-parametric reinforcement learning agents

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.381935Z

Source-reported events for the cited work

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Observation e061537a-bd39-4d31-ad0e-3ed019efe6f4 · outbound

This paper cites AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.489140Z

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Observation 9575502c-5eaf-4a00-879c-3b25962f2ac3 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.536824Z

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Observation 80843b15-fca3-4343-aa6c-a4360840f6b4 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Chain-of-thought prompting elicits reasoning in large language models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.577070Z

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Observation 895c12fb-233f-4a27-8347-94720fe505c6 · outbound

This paper cites A survey of actor-critic reinforcement learning: Standard and natural policy gradients.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning A survey of actor-critic reinforcement learning: Standard and natural policy gradients

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.355271Z

Source-reported events for the cited work

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

Observation 6ac4e898-b3d3-4b02-aa84-92de7538977a · outbound

This paper cites Efficient deep reinforcement learning with imitative expert priors for autonomous driving.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Efficient deep reinforcement learning with imitative expert priors for autonomous driving

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.338290Z

Source-reported events for the cited work

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

Observation 26202bb1-3501-408e-ab03-cc3050667063 · outbound

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning An environment for autonomous driving decision- making

Reference 34

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Source-reported events for the cited work

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Observation b0c26e35-f012-4f53-8a5c-1ad5fc9620e7 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Asynchronous Methods for Deep Reinforcement Learning

Reference 35

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Observation 95749692-a54a-4d73-9f4c-a63ba8ce0c19 · outbound

This paper cites Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T15:32:47.793071Z

Source-reported events for the cited work

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Observation 9122a6c7-76c9-4962-8ba6-419e4ed42e44 · outbound

This paper cites Modeling and simulation of merging behavior at urban expressway on-ramp.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Modeling and simulation of merging behavior at urban expressway on-ramp

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:32:48.308884Z

Source-reported events for the cited work

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Pith citing papers

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

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

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

Reference 24

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Observation f614df40-4701-4c5d-81b0-cadd7a2005d9 · inbound

LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving cites this paper.

LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning

Reference 19

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Observation c9d23c76-3c9b-4e32-bb3a-b84d65391bc9 · inbound

LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading cites this paper.

LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:12:59.604856Z

Source-reported events for the cited work

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

Observation 93bfc94a-812d-4cd5-9584-34e9027f3292 · inbound

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods cites this paper.

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-03T15:54:39.843021Z

Source-reported events for the cited work

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