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Paper Citation Record · LEDGER

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.08470.

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

pith.paper-citation-record.v1
2606.08470 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:40:24.800080Z

measured 56 of 56 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

56 of 56 outbound references displayed

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  • verified fuzzy0
  • unresolved35
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 9ce6a6e4-0250-474b-b85b-25068864090d · outbound

This paper cites Planning and decision- making for autonomous vehicles,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Planning and decision- making for autonomous vehicles,

Reference 1

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Observation 777af392-81a5-4d35-9ec9-fdb25711ce99 · outbound

This paper cites An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors,

Reference 2

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Observation da9a02fe-fe00-4879-879b-d10ba666d8a9 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 3

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Observation 73bb9d31-cdd2-48fa-ab6c-bba66c213538 · outbound

This paper cites Bilevel multi-armed bandit- based hierarchical reinforcement learning for interaction-aware self- driving at unsignalized intersections,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Bilevel multi-armed bandit- based hierarchical reinforcement learning for interaction-aware self- driving at unsignalized intersections,

Reference 4

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Observation 061809d2-b66e-489d-a2fd-1b4188aa893e · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving End-to-end autonomous driving: Challenges and frontiers,

Reference 5

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Observation 99464426-cf71-43ad-a7d2-24d817d52256 · outbound

This paper cites Language models are few-shot learners,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Language models are few-shot learners,

Reference 6

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Observation 36547568-c0f4-44f7-92c9-8717dd36c183 · outbound

This paper cites Qwen3 Technical Report.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Qwen3 Technical Report

Reference 7

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Observation d177820b-5f63-4a5e-b8d0-4aa01117a116 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Chain-of-thought prompting elicits reasoning in large language models,

Reference 8

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Observation 135338d7-86df-4448-a55f-58dfebaca6a1 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 9

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Observation d5b17117-f780-4308-9eec-c32008fe41c6 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving LMDrive: Closed-loop end-to-end driving with large language models,

Reference 10

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Observation 23471627-3b03-46a0-ad79-df38fbb4f1f1 · outbound

This paper cites DrivegGPT4: Interpretable end-to-end autonomous driving via large language model,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DrivegGPT4: Interpretable end-to-end autonomous driving via large language model,

Reference 11

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Observation 04e63532-9e46-438b-95fd-856374f38e6f · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DriveLM: Driving with graph visual question answering,

Reference 12

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Observation 1c2808b2-b86e-4489-a473-f4770d200e2d · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Self-consistency improves chain of thought reasoning in language models,

Reference 13

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Observation e6dd5564-507d-4968-bdf0-6a74abc56584 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Tree of thoughts: Deliberate problem solving with large language models,

Reference 14

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Observation 8fd831ba-c76b-4023-9205-09b1cc1c0820 · outbound

This paper cites Forking paths in neural text generation,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Forking paths in neural text generation,

Reference 15

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Observation 85ad6706-d379-47e3-9a60-7db4e79021a7 · outbound

This paper cites A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving,

Reference 16

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Observation 446498b9-4cb3-4090-af60-74ced37ebcda · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 17

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Observation 38ab8599-3bcd-413c-9cbb-1d70624d3464 · outbound

This paper cites GameFormer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving GameFormer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,

Reference 18

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Observation 41ff39ec-ed7a-436b-b103-ffbd9a627d73 · outbound

This paper cites PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 19

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Observation 3b15bda2-7b9d-4538-95e4-9b129260d6b9 · outbound

This paper cites Hierarchical prediction uncertainty-aware motion planning for autonomous driving in lane-changing scenarios,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Hierarchical prediction uncertainty-aware motion planning for autonomous driving in lane-changing scenarios,

Reference 20

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Observation 2a3c0c87-3339-4901-8bdb-c2b7687cfe0a · outbound

This paper cites GenAD: Gener- ative end-to-end autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving GenAD: Gener- ative end-to-end autonomous driving,

Reference 21

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Observation fb000d2f-b6ad-4c9a-8bab-c7920e491acd · outbound

This paper cites Diffusion-based planning for autonomous driving with flexible guidance,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Diffusion-based planning for autonomous driving with flexible guidance,

Reference 22

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Observation f6a74abd-62d3-465b-bf13-4300ce870a30 · outbound

This paper cites He-drive: Human-like end-to-end driv- ing with vision language models.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving He-drive: Human-like end-to-end driv- ing with vision language models

Reference 23

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Observation 07572fd4-546a-41ea-bfd8-51fcef8375ff · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 24

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Observation a47d99df-7e3d-48bb-8d9b-19b26dbb6e59 · outbound

This paper cites ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Reference 25

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Observation f7dc9127-d13b-4cf3-a92b-5e70fa994026 · outbound

This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 26

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Observation 13c1fa4d-90c9-4177-807a-3dda60a88112 · outbound

This paper cites Scaling Laws for Neural Language Models.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Scaling Laws for Neural Language Models

Reference 27

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Observation cf35cc05-8259-4aed-9021-ae093382d0be · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Distilling the Knowledge in a Neural Network

Reference 28

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Observation 534b1b24-734e-4678-a0e6-cde915429f3d · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving A Survey on Knowledge Distillation of Large Language Models

Reference 29

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Observation 1297ea49-09b5-4d61-80dc-3952eabb0305 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 30

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Observation 0e0d584d-9c67-4a2a-86e8-37bf7cf59c99 · outbound

This paper cites DistillDrive: End-to-end multi-mode autonomous driving distillation by isomorphic hetero-source planning model,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DistillDrive: End-to-end multi-mode autonomous driving distillation by isomorphic hetero-source planning model,

Reference 31

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Observation 4d946abd-e2f4-46e1-95e7-0de43710eb72 · outbound

This paper cites Continuously learning, adapting, and improving: A dual-process approach to autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Continuously learning, adapting, and improving: A dual-process approach to autonomous driving,

Reference 32

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Observation eb8f7b5c-5614-457c-8da5-0a67fe924c1c · outbound

This paper cites DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 33

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Observation 4932d69e-3427-4db9-b73f-2cc64c3805e6 · outbound

This paper cites DiLu: A knowledge-driven approach to autonomous driving with large language models,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DiLu: A knowledge-driven approach to autonomous driving with large language models,

Reference 34

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Observation 946bd308-02ad-40b7-af26-6c00e8e6ea8d · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking

Reference 35

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Observation 4c4c00f5-59e1-49ff-99f8-4825dda327a9 · outbound

This paper cites Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving

Reference 36

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:e608f7e40b457bcccaa401380f8441feb19fbfc7ddcf6aa5e05e62b808685c28

Observation c0fe96a7-2cfc-4a8a-a7cb-2cc2daf8c4a6 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 37

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:fb8ee1c17a07a8f722fe004ed01bad9884447a0b37fd5788fea6242de3213239

Observation 4ceb4c61-d4de-4120-bef3-ccc98569f8ed · outbound

This paper cites A behavioral planning framework for autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving A behavioral planning framework for autonomous driving,

Reference 38

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Observation dec35081-8d67-40c8-8c16-19c096c94ad9 · outbound

This paper cites A universal cooperative decision- making framework for connected autonomous vehicles with generic road topologies,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving A universal cooperative decision- making framework for connected autonomous vehicles with generic road topologies,

Reference 39

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:06c7b71a8ceb6bc86271bf4d4443255cc1e32e5e43da72477e69080d0116f8e0

Observation 4c9acb6f-5fc7-4f75-9402-5b5a14278767 · outbound

This paper cites A safe hierarchical planning framework for complex driving scenarios based on reinforce- ment learning,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving A safe hierarchical planning framework for complex driving scenarios based on reinforce- ment learning,

Reference 40

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Observation 6600a10f-1d50-4058-9837-d93d5c284f64 · outbound

This paper cites Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving,

Reference 41

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:c794631d89e8182eef33c3cfe9cb9dd26b5dfb94cfdeee1179481b165d073e80

Observation a032c2af-3fd6-4eeb-83d8-19c653fa4e05 · outbound

This paper cites Is ego status all you need for open-loop end-to-end autonomous driving?,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Is ego status all you need for open-loop end-to-end autonomous driving?,

Reference 42

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Observation cb7c0af4-0534-4ec8-9c68-078b17f71f04 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model

Reference 43

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:a8eaeb68477ce8e1dd3233729d8679a553c1da6e00d5c50b922610de188684cb

Observation ae5d81b7-d8bd-43f4-8303-5c3b7ed270ff · outbound

This paper cites Can LLMs express their uncertainty? An empirical evaluation of confidence elicitation in LLMs,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Can LLMs express their uncertainty? An empirical evaluation of confidence elicitation in LLMs,

Reference 44

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Observation e112b490-d968-4660-a532-94c43601410e · outbound

This paper cites Conformity in large language models,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Conformity in large language models,

Reference 45

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:c1d76f5f995b179e5dfdc4617fd564c6af8a3216386123314d8f481b631b52e0

Observation 3869eeed-23e8-40e7-8792-f0d0b6b0d283 · outbound

This paper cites What language model architecture and pretraining objective works best for zero-shot generalization?,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving What language model architecture and pretraining objective works best for zero-shot generalization?,

Reference 46

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Observation 1b1f74d1-87a3-4897-a281-ca027160f135 · outbound

This paper cites Parting with misconceptions about learning-based vehicle motion planning,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Parting with misconceptions about learning-based vehicle motion planning,

Reference 47

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Observation 8698b6a5-6f61-4a6a-a65b-f7951884ce20 · outbound

This paper cites Diffusion-ES: Gradient-free planning with diffusion for autonomous and instruction-guided driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Diffusion-ES: Gradient-free planning with diffusion for autonomous and instruction-guided driving,

Reference 48

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:8874cbae6a9b4a37c108350783238b804ddab78f17dc056f417b4be6d3dcd9d3

Observation f30a6256-2259-4517-97f0-f9705642d064 · outbound

This paper cites Rethinking imitation-based planners for autonomous driving,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Rethinking imitation-based planners for autonomous driving,

Reference 49

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:398a2fd70427cd77b5885755b0d1c9f859e67cf7e7be3bb000ad5fea90f01cc9

Observation bfd773b3-1f78-477b-99c5-bb726fc72b68 · outbound

This paper cites Generalized force model of traffic dynamics,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Generalized force model of traffic dynamics,

Reference 50

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:9832f830989a4b464a0871992623fb62ab38d363b2bf71b038628e88f7b7762f

Observation c55819b4-15a0-4bf5-b568-f6700257de89 · outbound

This paper cites Are vlms ready for autonomous driving? an empirical study from the reliability, data and metric perspectives,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Are vlms ready for autonomous driving? an empirical study from the reliability, data and metric perspectives,

Reference 51

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:46c7b96d54c7dfd4009a6afe2263ce9636e313b462f08a392e283c9655c20dfa

Observation 5bf72fd0-b985-4753-9077-29112c0d653b · outbound

This paper cites From prediction to planning with goal conditioned lane graph traversals,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving From prediction to planning with goal conditioned lane graph traversals,

Reference 52

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Observation 01165352-b4cd-4fab-8306-ac623c532991 · outbound

This paper cites Urban Driver: Learning to drive from real-world demonstrations using policy gradients,.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving Urban Driver: Learning to drive from real-world demonstrations using policy gradients,

Reference 53

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:dcaf020f2e98429fb8af70693bd4bf6f552e057d8eae21caffa540aeae7b75a0

Observation 117191e7-591d-4fbe-be3d-53875777d8f1 · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning

Reference 54

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arxiv_id, observed 2026-07-02T22:47:25.604448Z

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:535d23eaf4737d5fb0c03d257fa66eae36732baa163d0451348395ce84619237

Observation 75f63bba-3312-4ff0-a011-e1756d07de87 · outbound

This paper cites DeepSeek-V3 Technical Report.

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DeepSeek-V3 Technical Report

Reference 55

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local_arxiv, observed 2026-07-02T22:47:25.603880Z

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:bd18185b1cdb09dde0b90414e4b1bfa976b90be88fbcccb1c2cc8e0806164712

Observation 94eb25e8-8348-42e1-afe0-46b7315abfeb · outbound

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 56

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source=pdf_text observed=2026-06-27T18:40:24.800080Z digest=sha256:455c5c954dca66dd84845ef05dbab3f2b45c0a453bb7a5ce4f57d170ffff81ea

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