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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 2026-08-07T06:34:17.273281+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

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External citation measurements

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T17:50:59.797593Z digest=sha256:da712b6d8c4508d1340fec7084a978ec82b3143ae01fd75ea13e55006214287b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:49:26.738273Z digest=sha256:68d0db3d15475b73d01223026caa8d6ea6c74ea96559d6bf0112ac0a6449e2cf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:28:00.597160Z digest=sha256:f9746f8da94b2d9fa223f3c61e67c6e2ac745c31eeeb361e87249b3d601cc61c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:47.854416Z digest=sha256:a4b18bd2938b1fd8ae5d907690d24cfff823575a51a63cf1aa34f54a4df2b023

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.

source=pdf_text observed=2026-08-05T06:04:07.724816Z digest=sha256:6424749ba5fdc28ef600f1c3cd3429769ae184c755a190fcfc3156f5a52e5562

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:19:25.554545Z digest=sha256:94a6a4a0baa5dc880b2065418dba129d54cc9ec96796d9fc374cba2df01d4495

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T06:48:00.943591Z digest=sha256:0a87a544be348acfdff88a893b12ef2d67b081b2488e904d065ff04be3a3d2b4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:31.398224Z digest=sha256:505696f090208beaa4fdea062cdd73a0a612d9370714338ed70632d9ca8b0df5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:06.331572Z digest=sha256:0d13584f8b270ab7835636c913063ad2b01b647f12a73ab490798d7d879637a7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:02:31.866961Z digest=sha256:0938a11b6a8f4ef69663b682c7203db123443b0e952e72daa89f32a32f2c1a68

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:44:18.418529Z digest=sha256:54318db0ae1efe5d25fc298c7f1cc2982e1296d6deeb4e135ec05b0166f1aca4

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:616197d545175a6e5cfa7347e33c3b2c113b99401d9945bc5c4aa956750f4145

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:27:24.653711Z digest=sha256:89669031e1e56ac8e8589bf5372f82e3a72abb1e34922234a86d1a0c0fa13f2d

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:13:37.421188Z digest=sha256:4e95994791e5aaf8a415d63abe053e06ad0e21dd1c77b6348bdb6df119db5941

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T20:57:06.455108Z digest=sha256:34f8fdbb57d6140444607a0ae337855c677931e7281a2a908ab5ba023895cc6d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T04:53:31.033435Z digest=sha256:698bf02cdc443d4f61b2ce9d6bad019c300a67c0e67cda8f75411dbd2e5d6412

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T21:20:14.654132Z digest=sha256:9c6dee3f8e5b228d2e910c118d1f493ce55b69fd9572f1fe2115f1f7800d853c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T19:32:13.627558Z digest=sha256:ac890cfc91d901a96e03ea61ba365d1a20545165e60dde1abf0237628e8ae0bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:13:33.628601Z digest=sha256:c0034afdb187c8845666c6680a124c03f282ec14b5986e736fd580ad4aed7869

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:10:10.477983Z digest=sha256:b48eaaffc2cffa21b38f9a295985cfd3f94bc5505c0b7c16b5a2e25440de57b3