Paper Citation Record · LEDGER

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2412.18607.

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

pith.paper-citation-record.v1
2412.18607 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:49:26.738273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:12.101933Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 65513e27-4698-41b1-a0e2-c6752e4f1dc9 · inbound

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment cites this paper.

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:54.731884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a271b25-38a1-4353-987a-5ac5b533920b · inbound

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions cites this paper.

AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:26.738273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f130b4-b3e9-4ae7-9d12-04c92a479a28 · inbound

ReSim: Reliable World Simulation for Autonomous Driving cites this paper.

ReSim: Reliable World Simulation for Autonomous Driving DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:16.785181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fb8d3fc-7add-48cd-87f4-fd300334c299 · inbound

Epona: Autoregressive Diffusion World Model for Autonomous Driving cites this paper.

Epona: Autoregressive Diffusion World Model for Autonomous Driving DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:47.854416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe309ba0-95cd-4b7f-a286-fad35436fc8d · inbound

3D and 4D World Modeling: A Survey cites this paper.

3D and 4D World Modeling: A Survey DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T06:04:07.724816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5291408a-6e89-4dd0-be01-5156cb16fce2 · inbound

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey cites this paper.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T19:19:25.554545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42c3b9a1-f861-43a8-b7cc-d7bb4b56c5cd · inbound

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

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:48:01.013617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa7b2b86-8f51-4fc0-9a62-89ad91ca1f4e · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:31.398224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6d9e88-66ec-41f4-be1a-c4b038a357fc · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.331572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea80b80a-d8b0-4e63-adfc-2b74401f782b · inbound

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World cites this paper.

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T17:02:31.866961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78396ac-1a8e-4b07-a795-1c8e07197410 · inbound

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations cites this paper.

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-15T13:44:18.418529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8289bbbc-8477-4f15-bee2-b251ccdf816c · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:25.881757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f41d7fdd-3bd3-4ba0-8e91-8940ceadb052 · inbound

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models cites this paper.

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:56:24.982928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f30bd1d-6e2e-45d3-97fd-38bf9b1fbff5 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:31:26.206806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c32e1ec8-5f5f-4a7e-9070-c1eac7432297 · inbound

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning cites this paper.

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:59:01.666126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 066eb4ef-1a14-4f9d-8298-6c5d3c495563 · inbound

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models cites this paper.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.326429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9387146b-bdaf-47a1-85e6-b4470b31e0ce · 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 DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.236136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cefe4c4f-38c9-4772-bacf-ad839dada467 · inbound

G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance cites this paper.

G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:50:12.103578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05789491-f649-4c3f-bf58-4a3b13be3b2f · inbound

G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance cites this paper.

G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.251287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 639d3797-c9b4-43fa-9ea1-715cc30e9b87 · inbound

G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance cites this paper.

G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T10:10:10.477983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.