Paper Citation Record · LEDGER

Application of Multimodal Large Language Models in Autonomous Driving

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.16410.

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

pith.paper-citation-record.v1
2412.16410 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:39:26.385832Z

measured 39 of 39 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact2
verified fuzzy14
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3172351b-49c0-4aa3-a79c-fdc93d4a5007 · outbound

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

Application of Multimodal Large Language Models in Autonomous Driving A survey on multimodal large language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.793618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bab0de1e-e659-4480-a7f9-f84764149aba · outbound

This paper cites Tesla autopilot: semi autonomous driving, an uptick for future autonomy,.

Application of Multimodal Large Language Models in Autonomous Driving Tesla autopilot: semi autonomous driving, an uptick for future autonomy,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.782718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64e73d98-bcbb-4b5b-ae52-7fc84b9edeff · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

Application of Multimodal Large Language Models in Autonomous Driving Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.253082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d038ab1b-fe60-42cb-aa97-f89599ae021a · outbound

This paper cites Application of baidu apollo open platform in a course of control simulation experiments,.

Application of Multimodal Large Language Models in Autonomous Driving Application of baidu apollo open platform in a course of control simulation experiments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.765133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a800ee90-dfeb-4da2-befb-e2eac2e08285 · outbound

This paper cites Dynamically conservative self-driving planner for long-tail cases,.

Application of Multimodal Large Language Models in Autonomous Driving Dynamically conservative self-driving planner for long-tail cases,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.261643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02309a32-ab49-4a42-8acb-6ade5f8d3090 · outbound

This paper cites Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies.

Application of Multimodal Large Language Models in Autonomous Driving Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.265804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba7ce0f-7431-4e0c-bab5-a10751fde627 · outbound

This paper cites Planning-oriented autonomous driving,.

Application of Multimodal Large Language Models in Autonomous Driving Planning-oriented autonomous driving,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.271013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82707f5c-314a-40ca-95f9-dfe89f226960 · outbound

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

Application of Multimodal Large Language Models in Autonomous Driving Milestones in autonomous driving and intelligent vehicles: Survey of surveys,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.739177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5d828157-8a3f-44c0-8fff-6de68d2284bc · outbound

This paper cites Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine.

Application of Multimodal Large Language Models in Autonomous Driving Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.279107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be3b2cd-4c7c-45bc-9f95-56a56ca1e6a7 · outbound

This paper cites An advanced driving agent with the multimodal large language model for autonomous vehicles,.

Application of Multimodal Large Language Models in Autonomous Driving An advanced driving agent with the multimodal large language model for autonomous vehicles,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.727181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 526e14b2-6d81-4cfc-9c78-4ed3ba2c042d · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

Application of Multimodal Large Language Models in Autonomous Driving Baichuan 2: Open Large-scale Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.286694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 004e121f-311e-45c6-b9e9-44e645be9132 · outbound

This paper cites Complexity- based prompting for multi-step reasoning,.

Application of Multimodal Large Language Models in Autonomous Driving Complexity- based prompting for multi-step reasoning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.715057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01fcba10-fc58-4f23-bfb5-705432e83631 · outbound

This paper cites Using multimodal large language models (mllms) for automated detection of traffic safety-critical events,.

Application of Multimodal Large Language Models in Autonomous Driving Using multimodal large language models (mllms) for automated detection of traffic safety-critical events,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.703542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e08e253-c072-4c86-af94-45df78a0fe5f · outbound

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

Application of Multimodal Large Language Models in Autonomous Driving An environment for autonomous driving decision-making,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.298449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d92e71-417a-4438-9c54-a31c40687088 · outbound

This paper cites Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles,.

Application of Multimodal Large Language Models in Autonomous Driving Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.684461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3383bf04-32a1-42e9-94cc-4b7eae3fbf3a · outbound

This paper cites End-to-end driving via conditional imitation learning,.

Application of Multimodal Large Language Models in Autonomous Driving End-to-end driving via conditional imitation learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.305498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf159f70-bb98-409e-ba6c-c86e2b6b4ab7 · outbound

This paper cites A review on safety failures, security attacks, and available countermeasures for autonomous vehicles,.

Application of Multimodal Large Language Models in Autonomous Driving A review on safety failures, security attacks, and available countermeasures for autonomous vehicles,

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T10:39:26.420111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d6a9b28-c6d2-4c68-afb4-5d9eb98bb0aa · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

Application of Multimodal Large Language Models in Autonomous Driving A survey of autonomous driving: Common practices and emerging technologies,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.311883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974661b8-2b50-4075-bc5f-c666399c998a · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

Application of Multimodal Large Language Models in Autonomous Driving A formal basis for the heuristic determination of minimum cost paths,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.314868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0f8308-41c3-4adb-b7ed-2b84e79f89b2 · outbound

This paper cites Robot motion planning: A distributed representation approach,.

Application of Multimodal Large Language Models in Autonomous Driving Robot motion planning: A distributed representation approach,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.318106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054e1d4f-fce3-4b53-8a7d-8e7525411213 · outbound

This paper cites Randomized kinodynamic planning,.

Application of Multimodal Large Language Models in Autonomous Driving Randomized kinodynamic planning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.321242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ef7534-ea46-4616-a2c0-e42027d55dcb · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Application of Multimodal Large Language Models in Autonomous Driving Sampling-based algorithms for optimal motion planning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.324339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffedb9af-fce0-420f-b41e-e34e8e0d2f68 · outbound

This paper cites Motion planning for autonomous driving: The state of the art and future perspectives,.

Application of Multimodal Large Language Models in Autonomous Driving Motion planning for autonomous driving: The state of the art and future perspectives,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.630426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c5ffe48-3fb0-4299-851a-172badd52526 · outbound

This paper cites Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections.

Application of Multimodal Large Language Models in Autonomous Driving Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:39:26.499134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26919f9c-250b-4ef8-8be1-9dd856bebfb1 · outbound

This paper cites Cola-hrl: Continuous-lattice hierarchical reinforcement learning for autonomous driving,.

Application of Multimodal Large Language Models in Autonomous Driving Cola-hrl: Continuous-lattice hierarchical reinforcement learning for autonomous driving,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.619593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6fa9065-2b98-438e-a584-5bdf13dcfd01 · outbound

This paper cites Parallel motion planning: Learning a deep planning model against emergencies,.

Application of Multimodal Large Language Models in Autonomous Driving Parallel motion planning: Learning a deep planning model against emergencies,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.608812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd38f59f-9ce5-47a8-839a-f1a1f0896451 · outbound

This paper cites Attention is all you need,.

Application of Multimodal Large Language Models in Autonomous Driving Attention is all you need,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.340317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e6f932-5d00-48be-8aef-fcb5fca8479b · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Application of Multimodal Large Language Models in Autonomous Driving BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.343355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d09081-1d80-4d03-876d-8ffa7d325007 · outbound

This paper cites Scaling Laws for Neural Language Models.

Application of Multimodal Large Language Models in Autonomous Driving Scaling Laws for Neural Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.348081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498da21e-8f5d-4dc5-81d5-a93e5a780158 · outbound

This paper cites Language models are few-shot learners advances in neural information processing systems 33,.

Application of Multimodal Large Language Models in Autonomous Driving Language models are few-shot learners advances in neural information processing systems 33,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.589217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c704740-fb95-4ed2-b418-a7dd68a00096 · outbound

This paper cites GPT-4 Technical Report.

Application of Multimodal Large Language Models in Autonomous Driving GPT-4 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.355931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6083cdb9-4669-4638-8a04-b9ab588599c2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Application of Multimodal Large Language Models in Autonomous Driving Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.359576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c880880-7eac-47e1-8120-a5b62c95f04d · outbound

This paper cites Qwen Technical Report.

Application of Multimodal Large Language Models in Autonomous Driving Qwen Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.363484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a006bb-0d94-40bb-925a-5795989ecc4a · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Application of Multimodal Large Language Models in Autonomous Driving Textbooks Are All You Need II: phi-1.5 technical report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.367112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ff99e4-4449-48fc-917a-8e24f62ac438 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

Application of Multimodal Large Language Models in Autonomous Driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.370775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4f11fd-cd26-4fad-9b8b-ef49e6a812b8 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Application of Multimodal Large Language Models in Autonomous Driving Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.374352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf925178-6045-46c4-8cb3-9e5272d9d3cf · outbound

This paper cites Sentiment polarity analysis of bangla food reviews using machine and deep learning algorithms,.

Application of Multimodal Large Language Models in Autonomous Driving Sentiment polarity analysis of bangla food reviews using machine and deep learning algorithms,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.562755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 801ef513-a076-4f9e-9772-32df5d16c803 · outbound

This paper cites Segment anything,.

Application of Multimodal Large Language Models in Autonomous Driving Segment anything,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T10:39:26.382092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f95ee227-101f-4d3e-b398-e4d004038ae5 · outbound

This paper cites Enhancing bangla language next word prediction and sentence completion through extended rnn with bi-lstm model on n-gram language,.

Application of Multimodal Large Language Models in Autonomous Driving Enhancing bangla language next word prediction and sentence completion through extended rnn with bi-lstm model on n-gram language,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:39:26.543857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.