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Paper Citation Record · LEDGER

ADriver-I: A General World Model for Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2311.13549.

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

pith.paper-citation-record.v1
2311.13549 v1

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 2026-08-07T15:24:06.804465Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.884710Z

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 30831090-48be-42e8-accc-4e5d70139bbd · inbound

Enhancing End-to-End Autonomous Driving with Latent World Model cites this paper.

Enhancing End-to-End Autonomous Driving with Latent World Model ADriver-I: A General World Model for Autonomous Driving

Reference 7

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verified exact
arxiv_id, observed 2026-05-17T07:38:51.938947Z

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=2026-05-17T07:38:51.885383Z digest=sha256:5f61d3d5a5d82eaf581ee9b795213f0a25a82b94d97d1bd8ec780de93a3eed9e

Observation 4d3817a1-0400-422c-ab5a-f1963a3e9356 · inbound

How Far is Video Generation from World Model: A Physical Law Perspective cites this paper.

How Far is Video Generation from World Model: A Physical Law Perspective ADriver-I: A General World Model for Autonomous Driving

Reference 9

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arxiv_id, observed 2026-05-20T11:13:41.456220Z

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=2026-05-20T11:13:41.407945Z digest=sha256:32288fd8d81fd161cbdc23425017e91fdb356aa8955f847a08a18f3ae9b85d86

Observation 747c2d4e-dcdc-4926-b9f2-09752f00729a · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI ADriver-I: A General World Model for Autonomous Driving

Reference 86

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arxiv_id, observed 2026-05-10T23:38:45.553921Z

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=2026-05-10T23:38:44.933410Z digest=sha256:d47aa94ad6bddbb85dff25f43d914c034a940217f1d76bcf5786b01bac8ccd04

Observation ef0e5092-39cf-4df4-8290-e7f40439e6e2 · 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 ADriver-I: A General World Model for Autonomous Driving

Reference 34

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arxiv_id, observed 2026-05-22T17:51:54.644904Z

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=sha256:9cf1e38c565ca3e2e14d9b2e87946ba5f13aa9ec83a23bce939a0213d479769b

Observation 754dee93-91b9-4fce-9ff3-889314b4445d · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review ADriver-I: A General World Model for Autonomous Driving

Reference 154

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no resolver link, observed 2026-08-07T15:24:06.804465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:06.804465Z digest=sha256:9b3221aa31c4720d99ad122e3808bedc6c97cde983986877456beb426da6b161

Observation fb12fabc-62be-4408-9d9a-775a072f9176 · inbound

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos cites this paper.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos ADriver-I: A General World Model for Autonomous Driving

Reference 18

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no resolver link, observed 2026-08-07T14:31:29.483235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:29.483235Z digest=sha256:f91d6ac26e0d100413ca460d9ba5a4ff263bf7101e3ef5fa1a4e4d8b89278f31

Observation 1e66f292-15cc-4cfe-aff3-c92098202d08 · inbound

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software cites this paper.

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software ADriver-I: A General World Model for Autonomous Driving

Reference 29

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no resolver link, observed 2026-08-07T12:05:07.058475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:07.058475Z digest=sha256:8fc6fc14a63892b2b99827811859d3b9b72bbdf7ce975015e9913b253a2cb62b

Observation eb4072ee-63d5-456c-998d-175c62ed402c · inbound

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model cites this paper.

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model ADriver-I: A General World Model for Autonomous Driving

Reference 28

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no resolver link, observed 2026-08-07T11:47:00.017376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:47:00.017376Z digest=sha256:7fd9033e95f9a9972ea7f388a5f532c175e2dcdcea57c0bc14f2916d8f7c9991

Observation d92e1b2c-cbdb-4b14-9bc7-14bf466ee07e · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 53

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no resolver link, observed 2026-08-06T21:31:04.503085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.503085Z digest=sha256:076d00a56a62a7125722bf2f8ba022ef632323c4dee3a9d3132f4bfbca3c5e7e

Observation bdf6a96d-f610-424f-b8a6-5d015592f7ab · inbound

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation cites this paper.

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation ADriver-I: A General World Model for Autonomous Driving

Reference 36

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no resolver link, observed 2026-08-05T17:19:14.015262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:19:14.015262Z digest=sha256:c6c59d5600240889b4db673f9bd8183b4960cf255f601b5fd5b258c967095603

Observation 6ef9de60-eca4-4d7b-8084-adf0752a4245 · inbound

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

3D and 4D World Modeling: A Survey ADriver-I: A General World Model for Autonomous Driving

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-05T06:04:17.984805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:04:17.984805Z digest=sha256:cf04eeb0e54a2943a963b91b0c0bbda5c15828d287ec576103d3d119b8d8bc12

Observation 96a6c452-e2bd-4281-8b2c-f438f42d17c7 · 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 ADriver-I: A General World Model for Autonomous Driving

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T17:02:35.755618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:02:35.755618Z digest=sha256:e78d2b2733660fdc726f3af2ce7281f6352473538c7d1d6aee6fea638e0864d0

Observation e17e2471-89c6-469a-92c7-14253b308613 · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach ADriver-I: A General World Model for Autonomous Driving

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T16:52:52.239036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:52:52.239036Z digest=sha256:61d6aa3821a9789cfaa884866b228fa3e361bef8a99fa9cb356c6fa77d0d9892

Observation 6b91eac2-c43a-4ce6-979d-c25ac9bdb5be · inbound

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms cites this paper.

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms ADriver-I: A General World Model for Autonomous Driving

Reference 188

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T01:38:36.414407Z

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=2026-05-14T01:35:14.878069Z digest=sha256:1fcc95d21dfeb98110e8db8bc86a5bef92cebef6e6aa4104961c09eea1943329

Observation 779e48e0-3fb0-4827-85bf-c1fb0c89a898 · inbound

AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models cites this paper.

AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models ADriver-I: A General World Model for Autonomous Driving

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T17:10:12.000337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:10:12.000337Z digest=sha256:a962274252e8f01ee8739d0672b6e1ac9411a33443178f5a5d034ac8710a9211

Observation 1ea3755a-b07a-4251-92ce-abe7f2418bb7 · inbound

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

Learning Vision-Language-Action World Models for Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:31:00.671239Z

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=sha256:618d9d108ac25e785a19ba7727cb57d60372cd47337d500fad1e9aa1d0b432a8

Observation 255268d5-7db3-44fd-ad80-b875e8eae1ed · inbound

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution cites this paper.

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution ADriver-I: A General World Model for Autonomous Driving

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:56:14.113405Z

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=2026-05-07T15:58:59.744568Z digest=sha256:5b7d6db4dad58a9c59b405db6852b7837a80dd803020b9552955cd43b2cb76bc

Observation 1b868733-6cd6-4b85-9ec5-89273e440b4f · 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 ADriver-I: A General World Model for Autonomous Driving

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:30.067200Z

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=sha256:6b21603511a26140c94e359da669ca8390833b82b08bfb0b0329e9db65f4c6cf

Observation 45e60261-0027-434a-a8d0-80920acdbe8a · inbound

DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.

DriveFuture: Future-Aware Latent World Models for Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 32

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verified exact
arxiv_id, observed 2026-05-12T03:01:18.002420Z

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=2026-05-12T02:59:27.018824Z digest=sha256:efa8b4fc6b84e68278884e2e9b2241f7896466216114f2af13afe6cc66029032

Observation 5a8a8c18-81be-4ccf-9b6c-bbc0c417722f · inbound

The DAWN of World-Action Interactive Models cites this paper.

The DAWN of World-Action Interactive Models ADriver-I: A General World Model for Autonomous Driving

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:07:07.540310Z

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=2026-05-13T02:05:07.140357Z digest=sha256:e4198dde25537a0e313a2eeebd28b1e2e8532826cd39ac301920919bb0f942d9

Observation 34c1db0a-8850-4f3b-8b2e-4d48ab9eb9a9 · inbound

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation cites this paper.

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation ADriver-I: A General World Model for Autonomous Driving

Reference 22

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verified exact
arxiv_id, observed 2026-06-30T14:14:45.862516Z

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=2026-06-30T14:05:41.611858Z digest=sha256:319364a48b1d594319b4a33f3ece3730ec6d57acdc6baff81e56efc1bb664530

Observation a453202d-73ce-4d5e-868d-b1a2131b9197 · inbound

ForgeDrive: Bidirectional Cross-Conditioning for Unified Visual-Action Generation in Autonomous Driving cites this paper.

ForgeDrive: Bidirectional Cross-Conditioning for Unified Visual-Action Generation in Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 15

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metadata mismatch
arxiv_id, observed 2026-07-01T09:55:40.886438Z

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=arxiv_source observed=2026-07-01T06:04:16.179716Z digest=sha256:98a178c0b02cd216099e83764021910c4d84a79436d320017cde70f5df8fe650

Observation f2bf0be2-101d-4cad-b5e7-169eee7a0f5f · inbound

Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving cites this paper.

Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 16

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no resolver link, observed 2026-07-11T15:37:01.397370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T15:37:01.397370Z digest=sha256:8a2b2deda1478061bca9e31576b307e6075213dc537dec857bb04fd514cc5b35

Observation 7adb7f2a-b43d-4ebe-aec0-74657411b552 · inbound

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving cites this paper.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 9

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no resolver link, observed 2026-08-01T08:49:47.615397Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:49:47.615397Z digest=sha256:ddb42dce0157275435022c11ffc3142fcafa4d5c450667f79eae3c6a9513eaa6