Paper Citation Record · LEDGER

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 8 inbound Pith citation observations for arXiv:2412.04209.

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

pith.paper-citation-record.v1
2412.04209 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:43:21.416987Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:43.914026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.224645Z

Reference resolution

61 of 61 outbound references displayed

verified exact0
verified fuzzy45
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41c0b7e9-9997-4bf2-9f3a-1b98201d127f · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model A safe hierarchical planning framework for complex driving scenarios based on reinforce- ment learning,

Reference 1

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Observation a1bf858e-f07f-4da1-940e-d75741ac24c5 · outbound

This paper cites Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Self-learned autonomous driving at unsignalized intersec- tions: A hierarchical reinforced learning approach for feasible decision- making,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.497592Z

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

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

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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Observation c974f1b6-f952-4ddf-b302-64345b7c8553 · outbound

This paper cites A cognition-inspired human-like decision-making method for automated vehicles,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model A cognition-inspired human-like decision-making method for automated vehicles,

Reference 4

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Observation f88b2274-5849-466f-aad2-51efedd81cd0 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Hierarchical uncertainty-aware autonomous driving in lane-changing scenarios: Behavior prediction and motion planning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.467279Z

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Observation f52d9739-4114-43f5-9495-ff577a92d941 · outbound

This paper cites Interactive decision-making integrating graph neural networks and model predictive control for autonomous driving,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Interactive decision-making integrating graph neural networks and model predictive control for autonomous driving,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.452385Z

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Observation 74bb8152-2beb-40bc-9e3e-e4fa9df302c4 · outbound

This paper cites Efficient sampling-based motion planning for on-road autonomous driving,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Efficient sampling-based motion planning for on-road autonomous driving,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.438141Z

Source-reported events for the cited work

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Observation 37f594f1-9613-4170-92d4-afec2fb44a45 · outbound

This paper cites End-to-end interpretable neural motion planner,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model End-to-end interpretable neural motion planner,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.423193Z

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Observation 90036443-17a5-4763-9655-fdef8e8eab03 · outbound

This paper cites Multi-modal model predictive control through batch non-holonomic trajectory optimization: Application to highway driving,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Multi-modal model predictive control through batch non-holonomic trajectory optimization: Application to highway driving,

Reference 9

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Observation 5963f56c-4802-4ff8-a4e0-34474c0089f0 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:43:21.183997Z

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Observation be6e403f-a08d-4777-b75f-a726ce67c413 · outbound

This paper cites Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 11

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Observation b660bbd9-5cf1-4304-b608-c1f0f72d1883 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.390827Z

Source-reported events for the cited work

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Observation 6b077c0f-2286-4f13-9414-f6352fa03c54 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Diffusion-ES: Gradient-free planning with diffusion for autonomous and instruction-guided driving,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.376993Z

Source-reported events for the cited work

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Observation d17921a0-4774-4325-944d-5b8e0ba3c7f0 · outbound

This paper cites LookOut: Diverse multi-future prediction and planning for self-driving,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model LookOut: Diverse multi-future prediction and planning for self-driving,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.362885Z

Source-reported events for the cited work

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Observation 3294e315-70f7-4440-8e74-4963e4fbab32 · outbound

This paper cites A critical view of driver behavior models: what do we know, what should we do?,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model A critical view of driver behavior models: what do we know, what should we do?,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.348647Z

Source-reported events for the cited work

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Observation 30697191-ae1e-4164-901f-bf55d17baac9 · outbound

This paper cites Optimal trajectory generation for dynamic street scenarios in a frenet frame,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Optimal trajectory generation for dynamic street scenarios in a frenet frame,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.334837Z

Source-reported events for the cited work

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Observation 5bcab800-b589-4578-8eb1-54eed2388fd4 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Parting with misconceptions about learning-based vehicle motion planning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.320305Z

Source-reported events for the cited work

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Observation 46e9ca54-3db5-4c1f-aa70-a519d381084b · outbound

This paper cites ST-P3: End- to-end vision-based autonomous driving via spatial-temporal feature learning,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model ST-P3: End- to-end vision-based autonomous driving via spatial-temporal feature learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.305169Z

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Observation e4f5f36d-6566-4867-9721-35837260c7b2 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Rethinking imitation-based planners for autonomous driving,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.289210Z

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Observation 036eeb20-fff9-4702-bec4-c3c4ecedf82c · outbound

This paper cites DriveVLM: The convergence of autonomous driving and large vision-language models,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model DriveVLM: The convergence of autonomous driving and large vision-language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.273769Z

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Observation 97355e52-f506-4a22-b93c-dbee3e9daf1d · outbound

This paper cites Driving with style: Inverse reinforcement learning in general-purpose planning for automated driving,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Driving with style: Inverse reinforcement learning in general-purpose planning for automated driving,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.258956Z

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Observation 26119707-8bd8-44a1-81bf-426684f2deb5 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model LMDrive: Closed-loop end-to-end driving with large language models,

Reference 22

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Observation d9363364-109d-4bcf-a1bc-87f1da61cbc5 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 23

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Observation 5820114e-b7c2-481f-83e3-f8d9ebfd71fb · outbound

This paper cites Do As I Can, Not As I Say: Grounding language in robotic affordances,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Do As I Can, Not As I Say: Grounding language in robotic affordances,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.229219Z

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Observation c6124405-a719-42e1-a306-332794e556b8 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model A survey on multimodal large language models for autonomous driving,

Reference 25

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Observation cc4aa8a5-b389-49e5-9c63-28caa42ebb65 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Language models are few-shot learners,

Reference 26

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Observation 35555d61-ba0c-47a3-86fc-1516ca93233c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model LLaMA: Open and Efficient Foundation Language Models

Reference 27

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This paper cites GPT-4 Technical Report.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model GPT-4 Technical Report

Reference 28

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Observation 06805eb0-1044-43cf-b6fd-dea1e0d18f00 · outbound

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CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Visual instruction tuning,

Reference 29

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Observation 5cc6faf2-97a2-4b0e-93ac-a6370bab7fba · outbound

This paper cites Improved baselines with visual instruction tuning,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Improved baselines with visual instruction tuning,

Reference 30

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Observation 3347c97c-3a15-4899-8ccd-b8d6355406f1 · outbound

This paper cites HE-Drive: Human-like end-to-end driving with vision language models,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model HE-Drive: Human-like end-to-end driving with vision language models,

Reference 31

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This paper cites Forking paths in neural text generation,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Forking paths in neural text generation,

Reference 32

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Observation dc8a654d-8808-4a5d-89ba-64f1041518fd · outbound

This paper cites To believe or not to believe your LLM: Iterative prompting for estimat- ing epistemic uncertainty,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model To believe or not to believe your LLM: Iterative prompting for estimat- ing epistemic uncertainty,

Reference 33

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Observation d6e0579b-bb02-4974-8c26-6adcea95b273 · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation,

Reference 34

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Observation 88d305a0-8885-471e-b1fd-114285ee7506 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Hierarchical prediction uncertainty-aware motion planning for autonomous driving in lane-changing scenarios,

Reference 35

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Observation d66b4791-9854-4499-a251-dbf586777bb2 · outbound

This paper cites What uncertainties do we need in Bayesian deep learning for computer vision?,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model What uncertainties do we need in Bayesian deep learning for computer vision?,

Reference 36

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Observation f1aaa2fd-780c-4d98-9c6f-50eee906758c · outbound

This paper cites Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback,

Reference 37

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Observation debdadcc-6952-4337-bff6-6f1b494880b0 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 38

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This paper cites LMMCoDrive: Cooperative Driving with Large Multimodal Model.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model LMMCoDrive: Cooperative Driving with Large Multimodal Model

Reference 39

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model DiLu: A knowledge-driven approach to autonomous driving with large language models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.076665Z

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model DrivegGPT4: Interpretable end-to-end autonomous driving via large language model,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.062249Z

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Observation db21fe87-4a12-46a0-a97c-815f108a836c · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning

Reference 42

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CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Unresolved cited work

Reference 43

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This paper cites Weight uncertainty in neural network,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Weight uncertainty in neural network,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.038349Z

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This paper cites Dropout as a Bayesian approximation: Representing model uncertainty in deep learning,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Dropout as a Bayesian approximation: Representing model uncertainty in deep learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.023839Z

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Observation 8b11d479-d726-4d56-8ce1-6d594cd8b0ed · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:22.009826Z

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This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Reference 47

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This paper cites A survey of confidence estimation and calibration in large language models,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model A survey of confidence estimation and calibration in large language models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.995721Z

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Observation a3537460-6e64-4f73-b95b-1680a6841af7 · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.981007Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f9492ea-9048-4994-8548-14bb523be441 · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Teaching Models to Express Their Uncertainty in Words

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T21:43:21.367687Z

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Observation 1cf15ecb-c15e-4962-9dc1-4fc508dfa062 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Can LLMs express their uncertainty? An empirical evaluation of confidence elicitation in LLMs,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.966350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34e4694f-4753-4383-a3ba-d7d9a705ff5a · outbound

This paper cites Newell, H.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Newell, H

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.951856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 244c0193-6de6-43c1-bdf6-51f9d2b32e79 · outbound

This paper cites How do we know that we know? the accessibility model of the feeling of knowing.,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model How do we know that we know? the accessibility model of the feeling of knowing.,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.937632Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edf026a8-4ce1-4a4d-9295-e1c1da2904f5 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model DriveLM: Driving with graph visual question answering,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.923937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2285743f-d4a1-444c-a4f3-6575f887d9a3 · outbound

This paper cites Denoising diffusion probabilistic models,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Denoising diffusion probabilistic models,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.909106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 380f560b-d01a-4c17-b23b-b9dc9a280126 · outbound

This paper cites Generalized force model of traffic dynamics,.

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Generalized force model of traffic dynamics,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.893474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c9a103f-ccfb-4c26-a2ab-8d00fd0def1c · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model From prediction to planning with goal conditioned lane graph traversals,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.879269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d873b89b-1bf9-44fd-9740-9fc11c3bd490 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Urban Driver: Learning to drive from real-world demonstrations using policy gradients,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.864799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40c75e78-b42e-41ac-82c9-81bbe28e9ad8 · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model Diffusion-based planning for autonomous driving with flexible guidance,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.850219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 152b3646-402a-4fc8-b156-32c886ff09be · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model GameFormer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:43:21.739984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76f01843-2489-4cd5-9151-55f342cf2a4c · outbound

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

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T21:43:21.416987Z

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Pith citing papers

Observation 5aba25af-ae6c-4dae-b898-4059cf53810c · inbound

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

DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:43.914026Z

Source-reported events for the cited work

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Observation 5d983f1b-6112-4734-b754-ecf33dd94428 · 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 CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:58.164947Z

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Observation 2d6efe36-ccfc-4e2c-8603-29d025439a0b · inbound

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving cites this paper.

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:20:32.176481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4dcbcd8-2747-48e8-8d6a-f54cc2f0009a · inbound

VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving cites this paper.

VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:32.550341Z

Source-reported events for the cited work

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Observation a2272fe3-9a7b-4193-8a61-43ede1744e19 · inbound

VLMPlanner: Integrating Visual Language Models with Motion Planning cites this paper.

VLMPlanner: Integrating Visual Language Models with Motion Planning CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T17:50:21.287898Z

Source-reported events for the cited work

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Observation 48444614-cd18-4443-81ca-ef1e291e21f2 · 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 CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:04:00.190425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:47:25.609548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2907f3f8-7299-4dcc-a2ce-b4c9c5e22cc6 · inbound

ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving cites this paper.

ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.226278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.