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Paper Citation Record · LEDGER

DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 64 inbound Pith citation observations for arXiv:2309.09777.

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

pith.paper-citation-record.v1
2309.09777 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 64 of 64 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:34:31.768588Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T20:15:34.250670Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation 87282600-96f5-4e13-a76c-78c11be100f9 · inbound

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation cites this paper.

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 58

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source=pdf_text observed=2026-08-12T21:41:59.642313Z digest=sha256:bb5c315fde164a6ce99c78d4fe65b82dd6b03aa2f556934df10f08f20a6784f3

Observation ad7fb72d-b0a0-496b-9849-318d03183868 · inbound

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation cites this paper.

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 43

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source=pdf_text observed=2026-08-12T18:50:32.495139Z digest=sha256:a36ee93dad6faa67fae4296e7b7fe3321c1000746a410afc2ab547e595b02ca9

Observation cadb2b6a-810b-44f0-8286-7c5c14a6d38c · inbound

Generative World Explorer cites this paper.

Generative World Explorer DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 48

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source=arxiv_source observed=2026-08-12T18:09:24.527734Z digest=sha256:8ce21bf68d293c8207c364fe18a55c86b2ef709590f1c34aba468daab704e93e

Observation 55a46735-7441-4b26-8d39-2de720e7c9f2 · inbound

What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality cites this paper.

What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 45

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source=pdf_text observed=2026-08-12T17:06:37.561825Z digest=sha256:0691a924e41fbae16e9304960c0e56fabd0cad60becada3aee2e627c66d31d35

Observation 5be749ce-9d06-4fc5-adb3-469886f31f7f · inbound

MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control cites this paper.

MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 36

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source=pdf_text observed=2026-08-12T15:56:27.189970Z digest=sha256:da7a1262cece2e168b16159becee7a1df7eb6342c6ee5cc5bf07444acaffc85c

Observation 543a98ee-ecca-4aa7-9331-096677e86e4f · inbound

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration cites this paper.

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 49

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source=pdf_text observed=2026-08-12T10:09:30.699535Z digest=sha256:61ad5212e4554a4eec493447f1447bcaf6839667bc5afaf55186bfcbe03713ea

Observation 6a1eca82-f600-4ad9-abc9-20722c99e719 · inbound

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving cites this paper.

HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 43

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source=pdf_text observed=2026-08-12T04:27:47.963842Z digest=sha256:81fea5b42d501685d48fe78c20f7bccb5d8dc6dda404e7bf03fb6e2973909db1

Observation 5d018bf1-1197-4bca-bfd4-dea17f858687 · inbound

Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention cites this paper.

Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 31

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source=pdf_text observed=2026-08-11T22:21:55.197273Z digest=sha256:dfe03288b35b4169b636ae374e96db1807bf3455841899aa89a8beb77249339c

Observation 66df2d98-167f-43ca-a6a1-91b023aa4b08 · inbound

FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes cites this paper.

FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 28

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source=pdf_text observed=2026-08-11T22:19:31.115405Z digest=sha256:75fb70ba63c482eeb9a51f298089d0eb24443aed5caee7bb6ee2973bb03d44f7

Observation bbe938da-b11d-4d50-9499-f02f52d11f18 · inbound

ARCON: Advancing Auto-Regressive Continuation for Driving Videos cites this paper.

ARCON: Advancing Auto-Regressive Continuation for Driving Videos DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 67

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source=pdf_text observed=2026-08-11T22:11:52.887583Z digest=sha256:15026869a0e21144fccf282b0f8da246d3e32a9261b98d909d2153d3d3eadb59

Observation 892263d8-6b64-47c9-a70a-6e8de63377f7 · inbound

Physical Informed Driving World Model cites this paper.

Physical Informed Driving World Model DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 39

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source=pdf_text observed=2026-08-11T17:58:58.444090Z digest=sha256:7701adb3ca639b456f607537932ddf67d9cf5967a746be833022c10ec43049f7

Observation 080b8054-7cde-4994-be97-358fd5f9272f · inbound

Doe-1: Closed-Loop Autonomous Driving with Large World Model cites this paper.

Doe-1: Closed-Loop Autonomous Driving with Large World Model DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 82

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source=pdf_text observed=2026-08-11T16:55:42.515113Z digest=sha256:87df88b7b61cdbb4c2e80f6dade46b695734f6ec8aea8777be951986186680fb

Observation e03c1fdf-6393-4f86-8a78-12aa14e49884 · inbound

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model cites this paper.

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 87

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source=pdf_text observed=2026-08-11T18:16:00.685277Z digest=sha256:3589536c6f528b47d3c018a1f1448490e2a5bfe3991d3742c7c32eaf1962788b

Observation f92d7143-59e8-4698-94af-139641920a23 · inbound

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction cites this paper.

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 38

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source=pdf_text observed=2026-08-11T15:58:52.779334Z digest=sha256:e61ce4b8492d94dc8a233f3d36f0ef250b82452bcdf3a743675f9e4e03275059

Observation d2627754-3a57-43ec-8f8c-c224e4679e9f · inbound

OccScene: Semantic Occupancy-based Cross-task Mutual Learning for 3D Scene Generation cites this paper.

OccScene: Semantic Occupancy-based Cross-task Mutual Learning for 3D Scene Generation DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 12

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source=pdf_text observed=2026-08-11T15:17:38.663353Z digest=sha256:8d46cda40f7959576a46237f9acc513e1bd7eab64c1ecb416ce62658be7e9d50

Observation 36e8d615-636d-41e5-901a-a1c0dbcbc765 · inbound

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control cites this paper.

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 61

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source=pdf_text observed=2026-08-11T15:16:34.213408Z digest=sha256:95f9b11a06b5d77c563e0bb2bcaf9b620d5a4e057d7c7ee0aa0db668d0ab3d3b

Observation 58e99215-f2bb-48d1-9bde-0610b0eabe5b · inbound

StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models cites this paper.

StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 59

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source=pdf_text observed=2026-08-11T13:25:42.366593Z digest=sha256:14ea9c49525edfffd46033bd4211852b1bcc2e24c667364924fcc049ea14cc7f

Observation 85bac58b-015c-46a5-8fc1-afbca88cdbbc · inbound

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training cites this paper.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 35

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source=pdf_text observed=2026-08-11T12:51:18.421104Z digest=sha256:2583b431db0e47011d48e9015b02823d7f1f7c471d3a67a6fafd37cd25b31c1a

Observation 3c7a47ae-3e1e-4637-b6fd-9301c59c312e · inbound

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision cites this paper.

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 39

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source=pdf_text observed=2026-08-11T12:17:54.179722Z digest=sha256:f7696bbaacbc87bea83f6067cdca0545a365dc56493d7f93ee3b44e4f9866645

Observation c00971e0-e35d-468d-9ccd-999b1d895d94 · inbound

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes cites this paper.

DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 30

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source=arxiv_source observed=2026-08-11T00:40:03.134307Z digest=sha256:aa3095de8043db32dcd70ff67b36a1f265bb12c77ba03a547cf581348e1d7c57

Observation 05547562-d343-4383-9d3b-f677ca994290 · inbound

DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT cites this paper.

DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 37

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source=pdf_text observed=2026-08-11T00:21:49.139374Z digest=sha256:2ab71fb0df0e4d52e932a3a0cd20e40358ba0d16e07ad3bfe4de694e5ed882e0

Observation 72971263-5682-4d9e-8d27-757dd1e9286b · inbound

DreamDrive: Generative 4D Scene Modeling from Street View Images cites this paper.

DreamDrive: Generative 4D Scene Modeling from Street View Images DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 13

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source=pdf_text observed=2026-08-10T22:50:42.995788Z digest=sha256:25bfd0b42e4bc3c3267980ce866453340b1e7d0fc5ea30ecb7d2483f67ed7f89

Observation b51d2bee-4a5c-42c5-8d02-ca8cdf7ed175 · inbound

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

Cosmos World Foundation Model Platform for Physical AI DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 210

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:2137c2cf585211aae589e0453cd548448a7f47c6b654d0736bacda03eea2686e

Observation 1c9e88e7-b75d-46ce-a037-887e125d76de · inbound

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought cites this paper.

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 22

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arxiv_id, observed 2026-05-16T23:09:34.976347Z

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source=pdf_text observed=2026-05-16T23:09:34.805552Z digest=sha256:f25e9464fa74def60fd9ff6004caa55088ea04e77316cab835c0d5805b93b069

Observation c96ae74c-17f1-4684-8617-4bdc6f348bae · inbound

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

AdaWM: Adaptive World Model based Planning for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 17

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source=pdf_text observed=2026-08-10T16:35:14.996111Z digest=sha256:d4d64e8eebf8b83113a158ed7bf1cfe435e59bf4cf9b1db3ca7388bb3e0d18df

Observation 859d261a-1b5f-483f-8c89-585d8eb2a3ef · inbound

Dream to Drive with Predictive Individual World Model cites this paper.

Dream to Drive with Predictive Individual World Model DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 45

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source=pdf_text observed=2026-08-10T11:08:53.058569Z digest=sha256:6b484bf8262ac75996637a65445cce5d14643d11d5ff0b72e9b115d04044629c

Observation eca9d332-f1f9-4322-9707-0375bd9bd9be · inbound

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning cites this paper.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 17

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source=pdf_text observed=2026-08-07T20:08:49.593951Z digest=sha256:2b8d8895697dbe9d9a224ecfa2d9909b534fca232b96cf421167bda140089b9a

Observation b13e568a-6c3f-4813-804c-495f1e864233 · 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 DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 33

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source=pdf_text observed=2026-08-07T14:31:31.195661Z digest=sha256:76dec550809fa42cb74f944663d9a08c49ff11c1f5d5b8d8a64632ab3a929d89

Observation 9a7f9a72-f594-4e6a-a6e2-3e6e7f44912e · 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 DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 10

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source=pdf_text observed=2026-08-07T11:46:59.294846Z digest=sha256:ba2f8688a64c7e11342679eed6600feedc3b85619c6d1b72cb9f40ee9de94bbd

Observation 4b6e86b3-2ce9-4024-8b6c-1a5b8f5aedbc · inbound

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning cites this paper.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 68

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source=pdf_text observed=2026-08-07T11:31:52.240249Z digest=sha256:11d9098573324a4d0737b4b7466627a68900942bf57278aabfb3bd9fc2b1ed2e

Observation b7e83c58-e8f7-49d5-be07-d17770124aaa · inbound

Dreamland: Controllable World Creation with Simulator and Generative Models cites this paper.

Dreamland: Controllable World Creation with Simulator and Generative Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 45

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source=pdf_text observed=2026-08-07T05:26:16.473766Z digest=sha256:7642b601c7f08596516ec9c612384b9e765f17f9924d867af1f07a120aa0ab55

Observation 7da16826-7672-42ed-97a0-260ab6805a28 · inbound

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy cites this paper.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 47

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source=pdf_text observed=2026-08-07T04:16:22.829701Z digest=sha256:b30b9677f16614799add22a4526ebe4f33d8d0ffc2e8e6646279f8c40c9aa4a7

Observation 0a541850-7dce-4497-8ada-7a96667b441e · inbound

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration cites this paper.

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 38

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source=pdf_text observed=2026-08-06T22:50:28.597293Z digest=sha256:7e0b1c100e479dd2c3a7f5f28046a9d345b3ae5cc34399fcb1f5dcb1cb3c6b38

Observation 7bd55091-5084-4bd3-8fa2-a813adb8c5da · inbound

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

Epona: Autoregressive Diffusion World Model for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 56

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source=pdf_text observed=2026-08-06T21:29:50.913000Z digest=sha256:5873e7aaa52a9820a24ae59e89f8a1be6cad0f677adb225b5f221f1cf6206abf

Observation 98954f10-8e05-493d-a750-0c617e4f74e3 · inbound

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling cites this paper.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.842936Z digest=sha256:6def598e11e5161543a24ed395648ca18924f354d7c5c8038dd9266e100bd47d

Observation 7303f6ed-9ab9-43ed-bf99-c48b7e2f6f2f · inbound

MobiWorld: World Models for Mobile Wireless Network cites this paper.

MobiWorld: World Models for Mobile Wireless Network DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:41.979287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:41.979287Z digest=sha256:c17854863ab559597ad0c5e99c2aac457be579aeb37cc8cbf018d37b2ce8bdb9

Observation c163a4e3-f99d-44f7-a66e-c335a3774144 · inbound

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning cites this paper.

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 25

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verified exact
arxiv_id, observed 2026-05-18T05:50:57.250017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T05:47:39.489674Z digest=sha256:4dab0fd14f6ad2f800eace88a1b3b575ec8c9ab389f42d1e774f2abc32dd0235

Observation a74acb8b-a01d-465a-932a-44b888593991 · inbound

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning cites this paper.

Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:36.569856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T20:47:38.789375Z digest=sha256:1b16d8ba6cddd710e505fa555d8cc8094429cb00e8960733318ad7cbf90d0d3b

Observation f7163ef0-b05d-4cf4-b601-b596a8eeb32f · inbound

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

Thinking Ahead: Foresight Intelligence in MLLMs and World Model DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T20:41:58.546525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:41:58.546525Z digest=sha256:c00619f708a3fe8ad3c5352357b8b19d03205f9bd703d7867834860fe85bc28b

Observation 96a2ba26-d966-4e61-93f5-57c478166037 · inbound

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation cites this paper.

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T17:01:22.698162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:01:22.698162Z digest=sha256:d7bb2ce057131670610f42ae6aac51e1bfd3686a25507c52b740431d9db2f936

Observation f1f34b8c-44f3-42ed-a453-ff96c8504e06 · inbound

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving cites this paper.

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 38

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unresolved
no resolver link, observed 2026-08-03T12:06:28.185947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:06:28.185947Z digest=sha256:6cc03fa97f5abec4c7c43d602efde374cb4b5818d1784d85699203f93f24628c

Observation c22765f3-d740-4977-b895-7e74a4907b4f · inbound

Safety, Security, and Cognitive Risks in World Models cites this paper.

Safety, Security, and Cognitive Risks in World Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:38:22.277280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T22:35:46.126714Z digest=sha256:df8410329279239bd474dfdf8a0654756d5da444265ac85e2d1ed98e79e1bf94

Observation 256625b4-977d-4d82-8d6b-fab280795ce7 · inbound

HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes cites this paper.

HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 57

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verified exact
arxiv_id, observed 2026-05-10T22:40:50.089455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T19:39:31.357223Z digest=sha256:e36047e43967d60dc8159f76c755308dc768767da0f140a5ef5eda329cdc3eb2

Observation ca942df6-682d-4bfe-ba7d-16388617db2c · inbound

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

Learning Vision-Language-Action World Models for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:31:00.866350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:08:10.442655Z digest=sha256:bc8b18924962bfa4fa6d01f26ca80e6b0e0556d545b78de35a02262fff31d69a

Observation 1c04994b-5ae1-45c6-bc02-755fec3039d5 · inbound

SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer cites this paper.

SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:00:03.231905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T13:56:17.912350Z digest=sha256:8d8b06f2be49f87c7c71a82c6847951b9d9040821a1ffd530c3ce039f7a00bca

Observation 838f6600-d2cc-4925-9555-e3ea28770b9b · inbound

PROWL: Prioritized Regret-Driven Optimization for World Model Learning cites this paper.

PROWL: Prioritized Regret-Driven Optimization for World Model Learning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T22:33:48.213087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-20T22:33:07.934163Z digest=sha256:018bf2187052d6fe986a8eedc7cf387d648a30e729f6a2966a4437ef79c89c28

Observation 052c1239-03d0-40d0-ae5e-625c2636bdc6 · inbound

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning cites this paper.

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:41:08.363674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T05:39:56.299842Z digest=sha256:885863f945990d04a60db277974f9ed1bda6ba8df347a0b513a559ed33eafbee

Observation e05cafa0-80cf-4316-a74d-14a4729f9a35 · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:15:22.824506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T05:10:32.522453Z digest=sha256:74710f73b12f515ece659bfa2dc6beb94978047c1ff6b49936bf8aaea5108200

Observation 351df3a5-d6fa-4f0f-b19a-5b3d6d918a8c · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.117349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T16:40:22.441025Z digest=sha256:8af91abf0fc8631cfb701a9f350ca2125255599af15ca5f3763ab58b38b94a4f

Observation 3edf8e18-7467-4ff7-b178-641c6f39a1c9 · 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 DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:04:00.880580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T21:15:12.465970Z digest=sha256:b69d542eff62b7457f32ff603fde57329d3afa2bc8f8e8641f9852532d457508

Observation 3a8adbdb-e222-496d-bb11-0ce181ed9302 · inbound

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models cites this paper.

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.908639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T07:46:28.469913Z digest=sha256:06561ed33f68ffa417360a6a91061ba9308ad05df1c7faefffea220e390d3679

Observation b62d39fa-f2e2-4a93-a128-bbc4bf50cb0a · inbound

CityGen: Structure-Guided City-Style Synthesis for Cross-City Autonomous Driving cites this paper.

CityGen: Structure-Guided City-Style Synthesis for Cross-City Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:14.907151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T08:32:06.674069Z digest=sha256:244fc9abf068cdbd01350dcd495f0d0bedb5c6c723d2acf2ccefd38b4d08a8b5

Observation 24f75957-786b-4dfe-93ef-5129a7a5472c · inbound

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models cites this paper.

MBench: A Comprehensive Benchmark on Memory Capability for Video World Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:22:35.117848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T19:04:58.672464Z digest=sha256:f064417a6732469bfbfc7fcde048738d264c20c8bc73c5e6756ae5d8a1d41f23

Observation 2c32a9b2-ff5f-4499-93d4-b89577d1ca94 · inbound

Building Social World Models with Large Language Models cites this paper.

Building Social World Models with Large Language Models DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:07:47.508412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T10:34:22.071622Z digest=sha256:1deeb7160eb2291a16389195bbe96aab2ca03a8ae79491a516e6f39fc0976beb

Observation 85c0eaae-b377-41fc-a9cd-278c6c77f108 · inbound

Diffusion Transformer World-Action Model for AV Scene Prediction cites this paper.

Diffusion Transformer World-Action Model for AV Scene Prediction DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.717190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T07:24:01.228925Z digest=sha256:179c6de65630dfbaa48e7d3bedf0a70c80d4d43ea85f2d84e70ce2eb291caf7e

Observation b552bccb-dfcc-46ca-898c-32a630e9231b · inbound

Mind the Privileged-to-Camera Gap: Actor-Centric Sidecar Supervision for Camera-First Open-Loop Waypoint Prediction cites this paper.

Mind the Privileged-to-Camera Gap: Actor-Centric Sidecar Supervision for Camera-First Open-Loop Waypoint Prediction DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:30.679371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-26T17:35:43.886454Z digest=sha256:dc42fce10c25d6a9c817bd5268412f6c5f07f29da0b05e8ee7d111fe0feb5281

Observation 2b2a36f7-5799-4962-80ce-d08b044bbce4 · inbound

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving cites this paper.

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:55:40.690269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-01T06:05:17.158363Z digest=sha256:d4699011a401e871b3af8a57b1309dcfd58c0506460cab7495e330eb97b9482b

Observation cacd8631-085f-408c-83a6-ffcc19f5dd23 · inbound

Imagined Rollouts are Kinematic, Not Dynamic: A Diagnosis of Long-Horizon World-Model Failure cites this paper.

Imagined Rollouts are Kinematic, Not Dynamic: A Diagnosis of Long-Horizon World-Model Failure DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-08T20:15:34.252149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T20:09:58.785097Z digest=sha256:f05411f476e98ce49e5d105c161faa5e91ceee7b0cc7083d648688332c18c163

Observation 8a5489e0-eb48-440c-baa3-ca2e43867c63 · 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 DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T02:55:45.185529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:55:45.185529Z digest=sha256:79499ea4cd85ca2cd01cfcf87f2097cb40b9170b48f96f0e17573412a36968c5

Observation 913473e2-6afe-446b-b63b-544461a89c98 · inbound

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers cites this paper.

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 156

Resolution
unresolved
no resolver link, observed 2026-08-01T07:02:53.372573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:02:53.372573Z digest=sha256:6c8fb61e6e92235f734b1137d754ea48714932955f45ecdbc8acc9306a3b2062

Observation f671c607-bdac-4ad0-8ffe-4ccd6d76d965 · inbound

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving cites this paper.

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T15:03:44.023814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T15:03:44.023814Z digest=sha256:c2ccde826140ed984ca73d7cb988fc6435fe39f4efae7ac8f8beb02f42e62759

Observation 84bbfb57-a7dc-4a39-a338-600dca56d09f · inbound

GSRAIN: Physically Calibrated High-/Low-Frequency Rainfall Synthesis for 3D Gaussian Driving Scenes cites this paper.

GSRAIN: Physically Calibrated High-/Low-Frequency Rainfall Synthesis for 3D Gaussian Driving Scenes DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T12:53:36.191259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:53:36.191259Z digest=sha256:d866587d662c64a0a1a46e411a02ed9cecc5fa1cf857436605dc2da3fbeedf03

Observation 4ceafa74-1e71-4f4f-b495-b748622bd89a · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:13.957202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:14:13.957202Z digest=sha256:b024cd332fe343b561b55d081e541bf4af9d3bfbbe721f3f6a802a348ce4f68f

Observation bf0e5a81-4a74-4723-998f-0ee280928618 · inbound

Population-Scalable Multi-Agent World Modeling cites this paper.

Population-Scalable Multi-Agent World Modeling DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T04:34:31.768588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:34:31.768588Z digest=sha256:fc3432dc8f281241a09dcf7bb410a0c1d4eed44bc62bdc78cd46f841bdcf89b6