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Paper Citation Record · LEDGER

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2310.03026.

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

pith.paper-citation-record.v1
2310.03026 v3

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:18:01.350621Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-04T20:00:07.807199Z

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Outbound references

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Pith citing papers

Observation b61e9432-6215-4430-80ea-241abd30d63a · inbound

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning cites this paper.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 44

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arxiv_id, observed 2026-05-24T03:18:49.465010Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T03:16:03.058129Z digest=sha256:c3aab1053ed0fd27c290f58a6863b275573f271ca501d6ca378d397905a76b2a

Observation 06c9bb3a-8e23-4493-946d-ae7b8013c1b2 · inbound

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

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 59

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arxiv_id, observed 2026-05-15T15:24:23.900678Z

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source=pdf_text observed=2026-05-15T15:24:23.756052Z digest=sha256:4942c7be6d10ad031170febe7ce3b33ce47de85ba8507e0643285ae568bb2ee5

Observation 0d9b70a6-ded9-45e5-8f1d-db7cbe153530 · inbound

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm cites this paper.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 17

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source=pdf_text observed=2026-08-12T19:18:01.350621Z digest=sha256:2d2c4b19d1e761a5a247d844452001ce9f82ef62d7ef89b7193146821dc323c7

Observation 2dfbf586-d531-4699-bb65-c4f8b611ec18 · inbound

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement cites this paper.

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 18

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source=pdf_text observed=2026-08-12T17:04:12.479080Z digest=sha256:6d2a5665a7d95d9e76851200d7e6adbdd4572522b8f2a8cb3a44e2ce4c3b0cbe

Observation 39cf8368-b837-4659-8d9b-fb99749931d8 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 128

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arxiv_id, observed 2026-05-23T17:35:44.327286Z

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source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:cac6b7431f1d2cace193e09dfd1099514dbf94fc6762234949fe0c1582e2cda0

Observation 75ac6832-2353-4e24-883c-767db3afe515 · inbound

Large Language Model-based Decision-making for COLREGs and the Control of Autonomous Surface Vehicles cites this paper.

Large Language Model-based Decision-making for COLREGs and the Control of Autonomous Surface Vehicles LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 13

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source=pdf_text observed=2026-08-12T13:02:38.974163Z digest=sha256:d86264e4a30a5a2f22876b68297730e9285f8cee7f036bcddfa3ae37c8766f52

Observation dc2a5928-c651-4e27-b01b-ed7615429d29 · inbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 3

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source=pdf_text observed=2026-08-11T21:43:21.150932Z digest=sha256:8317b44fc56fe609ba128383eb7a61d10a9b00033baac344e4476a534a901b86

Observation b45776cc-9231-4031-9e51-3facf4b92b31 · inbound

Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach cites this paper.

Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 18

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source=pdf_text observed=2026-08-11T19:28:52.308473Z digest=sha256:ed05e22c8b70f9746045d165103bbfab5aa0557cde014919939f7fee400cca1a

Observation 2409650a-dfad-4497-b5e6-fdcef40289a0 · inbound

Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.

Doe-1: Closed-Loop Autonomous Driving with Large World Model LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 65

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source=pdf_text observed=2026-08-11T16:55:42.435607Z digest=sha256:e22bbf42df11fb84b0e0ad7b278db6f61a18c7aacaa0cc10a094e7d5718840ed

Observation 23469d5a-3c98-4765-8554-3540a78b468e · inbound

Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving cites this paper.

Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 35

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source=pdf_text observed=2026-08-11T04:46:03.060687Z digest=sha256:f8f3567172e4af7681b84e29592f7133d8a835fe823831924beb48fcac727833

Observation 07ff6825-e551-4ea5-942d-9488f97a13ee · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 130

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source=pdf_text observed=2026-08-11T14:15:31.854394Z digest=sha256:73f530bb0e5d56b3943838bb52743426035fb3311bfa7b714395c09b2cf06ba0

Observation c19119ec-342c-4697-bff2-3d4a3dd59eec · inbound

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

Visual Large Language Models for Generalized and Specialized Applications LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 165

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source=pdf_text observed=2026-08-10T22:08:09.530264Z digest=sha256:d0d0cdbb4aa9f1712ee17f954961d836a0668d60fb570df4ac4aab6e81e4fe2e

Observation 37d36429-7164-4288-8309-c21289629a19 · inbound

Embodied Scene Understanding for Vision Language Models via MetaVQA cites this paper.

Embodied Scene Understanding for Vision Language Models via MetaVQA LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 37

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source=pdf_text observed=2026-08-10T20:15:04.690975Z digest=sha256:73881a94b7650475eab2be00fd73fb5cca3eda86d2150a8990911571cab26b05

Observation f5f0ca52-530c-4af3-8c08-df8ba32f8b6a · inbound

Distilling Multi-modal Large Language Models for Autonomous Driving cites this paper.

Distilling Multi-modal Large Language Models for Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 37

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source=pdf_text observed=2026-08-10T19:44:58.467903Z digest=sha256:b42c0f21c2df023246e1255016c24401a0f0d6637b25da1f5a591aeb73c9a916

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning cites this paper.

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

Reference 24

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source=pdf_text observed=2026-08-09T15:32:47.430986Z digest=sha256:fe3b4ecf7de1985a4ca67a3b020b36e9ac508598237ef94aa1810c659dba749e

Observation 6387957e-462b-49d0-a59d-869537d0cec1 · inbound

Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation cites this paper.

Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 43

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source=pdf_text observed=2026-08-08T22:43:32.891625Z digest=sha256:4e0a89f08935c80cf92bede65c7825419f8ac361083c991093f051f9429b7442

Observation 066393f4-aeb3-4551-8209-cb4414fb8cf1 · inbound

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement cites this paper.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 14

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source=pdf_text observed=2026-08-07T22:25:46.117330Z digest=sha256:eb98d7c021b8a7d0c59293a2f4a07d4e8889c71878c2139b03b627954026d226

Observation 6c093cc4-8f95-42eb-9cc5-1472549530a7 · inbound

ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers cites this paper.

ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 16

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arxiv_id, observed 2026-05-23T00:42:18.898854Z

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Observation 353ea02f-bbf4-4792-b65f-f4ae204e286d · inbound

A closer look at how large language models trust humans: patterns and biases cites this paper.

A closer look at how large language models trust humans: patterns and biases LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 6

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arxiv_id, observed 2026-05-22T18:21:55.929085Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T18:20:13.045440Z digest=sha256:7a1ac780acea18ea328aae49146bbc8f58fda09f7ac95a641e16a57a78da3d3d

Observation 4cf5fb0e-f5f1-4926-b229-8a9391362416 · inbound

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving cites this paper.

TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 16

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source=pdf_text observed=2026-08-07T15:17:58.371824Z digest=sha256:e9886ffd3f604df256e859c873170bf13d82487329828af996ebe9cacf06da98

Observation e0836e9a-e86e-4095-a2a2-22ced4d77450 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 224

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source=pdf_text observed=2026-08-07T15:24:07.174965Z digest=sha256:52d4622eb31a148bea0137372e24adc4932cba743cd30e93c80f1bfdfe66d230

Observation 63ed8dae-c6e7-4a92-855c-53f6024b72eb · inbound

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 29

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arxiv_id, observed 2026-05-22T13:21:35.708162Z

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source=pdf_text observed=2026-05-22T13:18:30.486507Z digest=sha256:a65829d0bfd2526b3cf531af203b41645ae9c09bced9eae9203e7a69c5c9fe76

Observation 01d7c4d9-9485-4e8c-ad74-7610df248cef · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 25

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source=pdf_text observed=2026-08-07T14:37:06.396442Z digest=sha256:4abe07bf140add44d235e67ea03f8377b0a9c7e25dd0a003db3ba18fe85bff9c

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

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=sha256:00d7d614deef471319ee494b628b303646fd6a7bf8203783cc96a0d0a34cedfb

Observation 5baf5823-14b8-44c1-9e4f-11da0a087384 · inbound

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models cites this paper.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 49

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source=pdf_text observed=2026-08-07T12:43:56.671998Z digest=sha256:dd0e0966e20fbaeb52e81ea289fd9038e70ed533901810b8b484b1f5a3c01bfe

Observation d89266e2-3fe4-4b3b-8013-48662518bcc4 · inbound

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation cites this paper.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 47

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source=pdf_text observed=2026-08-07T12:38:44.598445Z digest=sha256:99eefec134a944da88e99edbff0090df4ef45014b24b54def3d8777749108134

Observation fd326759-a542-4496-b394-370e4317e8fb · inbound

Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models cites this paper.

Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 18

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source=pdf_text observed=2026-08-07T11:23:14.026613Z digest=sha256:97b9e31142e966f3986c4463387222c6df0426eba5597cc8d084f816e09d90cb

Observation 1315d0d4-e614-4381-a967-77aaf48a52ef · 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 LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 28

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source=pdf_text observed=2026-08-06T19:24:31.344242Z digest=sha256:2a20a44863dde5fa111a2566cc9debc952425a8729f0b357a0c14cba7e477fa7

Observation b4a901a6-6a8b-4ad1-896b-39bd0ebdaf35 · inbound

MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines cites this paper.

MoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 31

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source=arxiv_source observed=2026-08-06T18:37:45.330042Z digest=sha256:36a041c7de4a32de2d2ea8fc93462afa1c0fa6239601afde25d2d4ec8bc8977a

Observation e9083893-3aef-4be2-9c32-01ac73aeba31 · inbound

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving cites this paper.

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 37

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source=pdf_text observed=2026-08-06T17:04:49.811274Z digest=sha256:2a74eb1f8e9182d29b1a6e3fe18cb27f21eadf286bd7fb22a5acacd2cc9e91c4

Observation 53446faa-3b44-4612-9379-46222374cf82 · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 70

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source=pdf_text observed=2026-08-05T13:58:10.501497Z digest=sha256:56b4345fe861774c10f01ea35066412fe0fadc3bac4bf0c70504d52338ef028e

Observation 42770307-bafe-4600-937f-9168bd6b8d51 · inbound

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis cites this paper.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 19

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source=pdf_text observed=2026-08-04T11:13:18.888597Z digest=sha256:cbad1cf900240251d8557d265fef846c1b04e07d4b5831737ee862f6f8e64e96

Observation 6f35a122-cf25-48eb-848a-7bede6cb652f · inbound

Context-Aware Model Predictive Control for Microgrid Energy Management via LLMs cites this paper.

Context-Aware Model Predictive Control for Microgrid Energy Management via LLMs LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 19

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arxiv_id, observed 2026-05-17T00:41:23.931143Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T00:39:10.477245Z digest=sha256:4ee502d2bf61bc1911484b4b6ff514337c12867a43b67861a87fb9fcbc2e01c3

Observation f1899cf4-55bc-43e7-a15a-691aae9f2e6e · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 53

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source=pdf_text observed=2026-08-03T16:52:55.999783Z digest=sha256:a871cad5c9a00fc4e50e2f9076cf2b003d9d771907d022223c14cb07f3bbb527

Observation f43b81e9-fcf9-4fd6-8284-e529aac2eb95 · inbound

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving cites this paper.

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 57

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arxiv_id, observed 2026-05-13T23:28:26.104609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T23:27:31.054348Z digest=sha256:557b20cf77efdf65a2d9ff0b256dcd6ce27953381c8dd2332a2befd5dcd5475a

Observation 1629bbfe-4fcb-4d61-b9a0-52716f3a4c3b · inbound

On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning cites this paper.

On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:59.224354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:52:35.367156Z digest=sha256:43fb5f8b784f3039dfac2a7ffd8119fc389cdb08d4a952129fd0e86aa7120b9f

Observation e37722f9-551b-4127-ac23-b7b36b822b8e · inbound

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving cites this paper.

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:31:01.420105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:36:38.627415Z digest=sha256:81407b6014ee7bc7665e9fc0b0b9c7447dedc761aab75669041db70c4a3f97fa

Observation 61734058-87e1-41b3-a072-e24055bdaa75 · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.425166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:b89d3e7fb2d6fe6facf871e69b1640640f3950a888a853e7191e22638bf0e55b

Observation ab8a6d91-cb75-4769-819c-6d18007477cd · inbound

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation cites this paper.

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:26.350924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:38:11.071221Z digest=sha256:6fbb3f19318d328e42348a7c1898e51102f962a0c16d7bf13f5802232cfcd1d2

Observation 2cdd99ea-8a5e-4641-acaa-4fd92e76d9a0 · inbound

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

Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:04:00.193266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T22:00:40.403204Z digest=sha256:70a2b1d4e2a38239e4f4fd9529b7c2da012d1490e8bbe99bbe52d9683eb75e2c

Observation d7622ea9-9831-4d85-9ac3-d2c751eb0815 · inbound

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving cites this paper.

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:53:23.782920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T11:49:24.977603Z digest=sha256:4a8758f851d726b1f85064c7a21b21128aa243e9f52e6707a37b4e1af00a5267

Observation 075f8666-4c9c-4645-80db-c3ae94201bb0 · inbound

Agentic MPC for Semantic Control System Resynthesis cites this paper.

Agentic MPC for Semantic Control System Resynthesis LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:38:34.087170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T06:23:28.781175Z digest=sha256:2a570423c375a2b833c7e2d083846830cc34f9e3cc6b2dd28ff9c3895c16acc2

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

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

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

Reference 33

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T07:59:56.928938Z digest=sha256:4fd31cc8276d0379452a863f7d8188071b1bcee2131c92c03ae1aa6c88c22b10

Observation a5dea7ec-b1ff-44cb-b449-91b314e673a6 · inbound

Event-Adaptive Motion Planning with Distilled Vision-Language Model in Safety-Critical Situations cites this paper.

Event-Adaptive Motion Planning with Distilled Vision-Language Model in Safety-Critical Situations LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:07.809385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T20:56:50.013581Z digest=sha256:4c093edd9259efcb83907b98519d1cd049fc47526851ff9a3e4d60a59bd7e2bc