Paper Citation Record · LEDGER

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2605.24004.

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

pith.paper-citation-record.v1
2605.24004 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T18:47:15.827373Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy24
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a22fbdd-9be1-43d9-acde-3a7f732f8b93 · outbound

This paper cites Large language models for human-like autonomous driving: A survey,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Large language models for human-like autonomous driving: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.918214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc064a06-416d-46bc-a549-6eba519496cd · outbound

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

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Dilu: A knowledge-driven approach to autonomous driving with large language models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.908044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5200349-b164-4731-b8d3-4d162728faf5 · outbound

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

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Drivevlm: The convergence of autonomous driving and large vision-language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.905855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58dd196c-4c62-4ad0-9cb2-056826eee17f · outbound

This paper cites Personalized autonomous driving with large language models: Field experiments,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Personalized autonomous driving with large language models: Field experiments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.912447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67a725f5-ae7c-4a88-bd79-f854932a19f7 · outbound

This paper cites A LLM-based multimodal warning system for driver assistance,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving A LLM-based multimodal warning system for driver assistance,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.910012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b711f4bd-0a9a-42ed-89a5-9213f77ea15d · outbound

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

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Lmdrive: Closed-loop end-to-end driving with large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.886950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14be72bb-2ca8-4a4a-b3c3-65d4a17fd34b · outbound

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

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.914621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54ba2427-4394-4746-ba1f-7d1142c24279 · outbound

This paper cites Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Drivegpt4-v2: Harnessing large language model capabilities for enhanced closed-loop autonomous driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.928249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df8c5332-4e6f-40f1-a702-b1a68eb0fdcf · outbound

This paper cites Autovla: A vision-language-action model for end-to-end autonomous driving with adaptive reasoning and reinforcement fine-tuning,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Autovla: A vision-language-action model for end-to-end autonomous driving with adaptive reasoning and reinforcement fine-tuning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.918045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 930aacb2-d902-4338-86db-0d5868a47b0c · outbound

This paper cites Solve: Synergy of language-vision and end-to-end networks for autonomous driving,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Solve: Synergy of language-vision and end-to-end networks for autonomous driving,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.910678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c738f088-38ca-4aa3-853f-9fb5060ef4e1 · outbound

This paper cites Think2drive: Efficient reinforcement learning by thinking with latent world model for autonomous driving (in carla-v2),.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Think2drive: Efficient reinforcement learning by thinking with latent world model for autonomous driving (in carla-v2),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.908398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32a36963-5c37-45ff-826e-7966e544e369 · outbound

This paper cites AdaWM: Adaptive World Model based Planning for Autonomous Driving.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.807176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddb79c9c-50ab-4dbd-9690-8abd951f6dc1 · outbound

This paper cites Drivedreamer: Towards real-world-drive world models for autonomous driving.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Drivedreamer: Towards real-world-drive world models for autonomous driving

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.925989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 194b666e-68a3-4f53-bb5e-376edfff4ce2 · outbound

This paper cites Drivedreamer-2: Llm-enhanced world models for diverse driving video generation,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Drivedreamer-2: Llm-enhanced world models for diverse driving video generation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.923302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 312a7ee2-2538-454c-bc0c-ca02b08e80a8 · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Occworld: Learning a 3d occupancy world model for autonomous driving,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.906029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 830d3702-2e5f-403c-8f27-f4aea7ac9eb8 · outbound

This paper cites Driving in the occupancy world: Vision-centric 4d occupancy forecasting and planning via world models for autonomous driving,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Driving in the occupancy world: Vision-centric 4d occupancy forecasting and planning via world models for autonomous driving,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.916524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ffeb908-81e1-4e76-988d-b23a38536085 · outbound

This paper cites Occ-llm: Enhancing autonomous driving with occupancy-based large language models,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Occ-llm: Enhancing autonomous driving with occupancy-based large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.895853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b5299ed-b1b7-4b4e-ab60-9bf0d41222fa · outbound

This paper cites Learning latent dynamics for planning from pixels,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Learning latent dynamics for planning from pixels,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.903605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28dde46f-f86d-4fce-a151-2e98a97cdd31 · outbound

This paper cites Driving style alignment for llm-powered driver agent,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Driving style alignment for llm-powered driver agent,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.880025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2d32e88-329c-4615-979e-cc39ee10ee2d · outbound

This paper cites DeepSeek API Docs,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving DeepSeek API Docs,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.884695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 757d2aa5-835e-40d6-854e-6765e0eeca78 · outbound

This paper cites Carla: An open urban driving simulator,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Carla: An open urban driving simulator,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.889983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f554d46c-c47b-48c7-a6b6-9eac53a89704 · outbound

This paper cites Msma: Multi-agent trajectory prediction in connected and autonomous vehicle environment with multi-source data integration,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Msma: Multi-agent trajectory prediction in connected and autonomous vehicle environment with multi-source data integration,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.915824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed6e4cbc-5472-4a74-88af-be352af3fb8a · outbound

This paper cites Evaluation criteria for the leaderboard 2.0,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Evaluation criteria for the leaderboard 2.0,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.920579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b1c3044-7b38-4f68-aace-602dd35d16cb · outbound

This paper cites Learning by cheating,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Learning by cheating,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.887269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d53be5ce-2374-4e73-8d09-699c9bae0578 · outbound

This paper cites Follownet: A comprehensive benchmark for car-following behavior modeling,.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving Follownet: A comprehensive benchmark for car-following behavior modeling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T02:54:28.877892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.