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Paper Citation Record · LEDGER

DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2412.19505.

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

pith.paper-citation-record.v1
2412.19505 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:25:51.323654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:46:57.095080Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

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 0db9d819-b5bb-41d5-8218-c317dea44932 · 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 DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.689364Z

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.

source=pdf_text observed=2026-05-22T17:50:59.797593Z digest=sha256:4046ab364b2d0725d4ea41b494dd0cb061ae77543735ad2982c6aa7467785f9c

Observation b78d4b06-e9f4-4de9-acbc-71041aa5bb28 · inbound

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:43.254703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:43.254703Z digest=sha256:96e9a843a50115a87972d78d4f84363e91999f52b6e15859b07c96ebeff0294b

Observation 82e4a2a7-0850-40ef-9200-49d35d6dd197 · inbound

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model cites this paper.

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 18

Resolution
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no resolver link, observed 2026-08-07T05:03:12.935432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:12.935432Z digest=sha256:8854ed2087e55303eeddff7f519c5b3cbc7043b7d3815cdd86ce866e7332c867

Observation bb55e9a0-0669-4394-a68e-ee0fb00a8013 · inbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 25

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unresolved
no resolver link, observed 2026-08-06T21:29:49.144575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:49.144575Z digest=sha256:ee3d24aed75e271fdd2b123f3eb7a58e74f35b7e7d4b948af06442c1c3d9495d

Observation 65b2649b-0e03-4020-8598-f513f30aee3d · inbound

Depth Anything at Any Condition cites this paper.

Depth Anything at Any Condition DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T20:52:02.480908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:52:02.480908Z digest=sha256:bce68c04ac3156851032db178895acefa635a730c3182bcadbc84a7c4192c4f0

Observation b2409850-6265-41af-87aa-044ac4955e59 · inbound

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization cites this paper.

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:32:54.718781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:32:54.718781Z digest=sha256:3df6d81f9941a94c357b5a690f2402ea498dd8e67bc4679d47c132875edcdfec

Observation c4fa05f2-f4f2-4f68-b7ba-c6ffff482753 · inbound

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

3D and 4D World Modeling: A Survey DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-05T06:04:15.535672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:04:15.535672Z digest=sha256:81098713d06149dce5feda6f4dfe99b9fdfa41b26a1f8e8633623d8a803739af

Observation db6ed7d7-8fec-4f55-87cc-dcd438111853 · inbound

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

A Comprehensive Survey on World Models for Embodied AI DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-04T09:12:45.347912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:45.347912Z digest=sha256:1fdc426d50e274f48bd6e7fe565caab62af06f0686eeda7f05aa75aee9fda0db

Observation 4be31751-4d72-4bd0-8886-6c587a079584 · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:09.462192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:09.462192Z digest=sha256:5e3c668083dc98420d99bcced699d049f7f2b4d2cdd7d6cc2593a34b478fa55e

Observation d054fc5c-8512-4b6f-8410-dd03d7a4fa39 · inbound

Thinking Ahead: Foresight Intelligence in MLLMs and World Model cites this paper.

Thinking Ahead: Foresight Intelligence in MLLMs and World Model DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T20:41:57.783447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:41:57.783447Z digest=sha256:51c6338b2a7693fe620e13ee1c89541842d0e655e40cc9f2a0bfb00271635129

Observation 6e6cbc5b-8e79-4619-8c5a-1bd740c0b85f · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:38:21.152627Z

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.

source=pdf_text observed=2026-05-16T19:34:39.518649Z digest=sha256:dea3de5316d6265156edc8cafbbd341f78fbcfdb3b2aa97fe63c6646a8074e0f

Observation fccf9409-c6f8-4df7-8646-f78bce711583 · inbound

Learning Vision-Language-Action World Models for Autonomous Driving cites this paper.

Learning Vision-Language-Action World Models for Autonomous Driving DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:31:00.739946Z

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.

source=pdf_text observed=2026-05-10T17:08:10.442655Z digest=sha256:345153c7053902792571f4271f37f5ee8bdc174a1073b751bc97d0d910831c46

Observation 88dd64db-3028-4efc-94c8-2045588a8501 · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.515766Z

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.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:85eeb7bb5b20af2ac6581092be480dc26d0de70ba7dba7425d364b100794d08d

Observation 1523f59a-96a8-4f5a-bc00-c1ea18730cce · inbound

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation cites this paper.

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:29.886059Z

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.

source=pdf_text observed=2026-05-07T05:31:59.676725Z digest=sha256:ee92813d920d95e0d2c290768784c15b7551e2f15da6d9b25471c9a324c743c0

Observation 23b6a125-2a6d-4deb-a730-0d96c104108d · inbound

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving cites this paper.

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:28.345061Z

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.

source=pdf_text observed=2026-05-12T03:48:36.717026Z digest=sha256:9eeb9278501ad81e1d8227a85c926d1d4885d90a79fcebd983f110e5212f0c6c

Observation 200f7029-45a7-4d53-903c-1e4a480634f1 · inbound

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving cites this paper.

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:38:00.700467Z

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.

source=pdf_text observed=2026-05-14T21:36:52.396245Z digest=sha256:b328765c1d46f95e0ac1d7dc20cc1bce3dca155770ec4db9e8daa9ccd54cc286

Observation 63fe9d34-9637-40c3-81c9-f3479298f508 · inbound

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond cites this paper.

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:04:00.902020Z

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.

source=pdf_text observed=2026-06-29T21:15:12.465970Z digest=sha256:c96b48d39ad76c17eb4b919e3c6f81b129a22080ac498a03a959a643719534a3

Observation 724b52d1-eaac-4d39-9e19-98173b2f592c · inbound

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:06:13.867181Z

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.

source=pdf_text observed=2026-06-28T17:29:18.513507Z digest=sha256:4743212abe7cf2a111b9286bd87b751478d3cdb1ffdf4aaa0c38fbaf85efc3e1

Observation ef710abf-7490-4f43-9c2a-61978eb80f36 · inbound

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning cites this paper.

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:46:57.096758Z

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.

source=pdf_text observed=2026-06-28T01:49:25.510681Z digest=sha256:fd77b04e78c95a2e772cebe0082c2ccbb075b682181e232c0b1ca8999d80b501

Observation 68ca223f-0f8f-4af5-9abd-6e3415aa9a5d · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:19:04.131379Z digest=sha256:6297bd1ed46f20763bcb4db486b37a7db01b038524307fc2accc9bcde6e19d36

Observation 18800ef9-5faf-4b61-897d-cf4217d7db68 · inbound

OpenLongTail: Generative Scaling of Long-Tail Driving Data cites this paper.

OpenLongTail: Generative Scaling of Long-Tail Driving Data DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 10

Resolution
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no resolver link, observed 2026-07-13T01:26:27.220907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:26:27.220907Z digest=sha256:59dc9cde81707f4f42fb9918533bf6d7ab2133aa625c3c81657aad14d58bcdb9

Observation 7d925026-4feb-4bd7-a003-b0f70351c1f7 · inbound

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation cites this paper.

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 51

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no resolver link, observed 2026-08-02T02:55:46.103411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:55:46.103411Z digest=sha256:1e0676f37fdafc09e58e700c489edc88e2172d5600cb50407a6c06031b573c05

Observation 8bd34162-89f3-46e2-a849-b45a45eed1cb · inbound

Orbis 2: A Hierarchical World Model for Driving cites this paper.

Orbis 2: A Hierarchical World Model for Driving DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 23

Resolution
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no resolver link, observed 2026-08-01T22:05:02.737118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:05:02.737118Z digest=sha256:44d0b3b02655016daf239f8a7e15870b20caf8954a6120b62ca709ffe410dec9

Observation a95fcd14-a47f-445b-b5dc-410b0a3670d1 · inbound

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features cites this paper.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T18:25:51.323654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:25:51.323654Z digest=sha256:a08fc88fe50c1c296f2765ef99b401731667e06028dc0a518775897339a2f28f