Paper Citation Record · LEDGER

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2506.09042.

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

pith.paper-citation-record.v1
2506.09042 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:04:34.895624Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6f8dc082-48a1-4e7e-b8e1-cd49056b9f8f · inbound

ViPE: Video Pose Engine for 3D Geometric Perception cites this paper.

ViPE: Video Pose Engine for 3D Geometric Perception Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:41:08.688457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8758d55f-aa00-4c58-9ca5-6e63b43d0417 · inbound

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

3D and 4D World Modeling: A Survey Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-05T06:04:34.895624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 240ea275-6023-40d5-a96d-5188022b2169 · inbound

Ctrl-World: A Controllable Generative World Model for Robot Manipulation cites this paper.

Ctrl-World: A Controllable Generative World Model for Robot Manipulation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T01:14:10.527218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32c4917d-c431-423f-97c5-4237fd9f6cbc · inbound

World Simulation with Video Foundation Models for Physical AI cites this paper.

World Simulation with Video Foundation Models for Physical AI Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T23:01:13.741361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d44498f-3d0e-4de8-91a9-85aea67c1cc2 · 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 Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T17:02:38.874843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffc16bb-0c12-4b8b-b1a4-03ba6ea11958 · 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 Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:38:21.224940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6c55c9c-e8a5-42e0-80e6-b46be808fca9 · inbound

Advancing Open-source World Models cites this paper.

Advancing Open-source World Models Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T09:07:00.959794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24b54709-2748-44fc-800f-14709800fff9 · 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 Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 183

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:38:36.123557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 159b09b2-34d3-46bf-bc52-683d4f623469 · inbound

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

Human Cognition in Machines: A Unified Perspective of World Models Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 138

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:26.137383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f43304d2-7f54-4f4f-9b0c-f9815323b8cc · inbound

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation cites this paper.

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:26:27.480493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28bc08f2-76cf-4d57-a1ff-7f9b0b774b93 · inbound

Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge cites this paper.

Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:00:57.439678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8266944f-2bd2-4525-8d44-6e581a50fa11 · inbound

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation cites this paper.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:17:01.809008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77fc0458-ef0d-41aa-a504-688668dd6f5f · inbound

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation cites this paper.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:35:24.996225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccd65f61-3722-44d9-9a76-3dedc2d74859 · inbound

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training cites this paper.

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T04:49:35.592880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 63e7af34-1a7b-47cd-b42f-a590fc97245a · inbound

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving cites this paper.

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:44:55.990143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4146a27d-741a-4518-8a66-7449d842f7eb · 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 Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:04:00.883076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d20fff93-f0fa-4c56-bd85-1cc33dc57d68 · inbound

E$^3$C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control cites this paper.

E$^3$C: Video Generation with 3D Environmental Memory and Ego-Exo Human Pose Control Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:34:02.549045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7f40b9c-b731-477d-b565-de189be7b4e1 · inbound

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players cites this paper.

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:53:29.117955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6212d6dc-e745-4588-8575-58081939d93e · inbound

Geometry-Aware Implicit Memory for Video World Models cites this paper.

Geometry-Aware Implicit Memory for Video World Models Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:26:16.957829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3968874c-7626-410a-9e7d-f568def196e7 · inbound

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation cites this paper.

LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:17.149223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 812f6a51-1a0c-4882-bd93-62ad4f8c1aa7 · inbound

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation cites this paper.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:27.444563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 933f83a7-e417-4ebd-a8e1-b2fc599ef16b · inbound

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation cites this paper.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T12:34:18.326897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a09fd44-998f-449d-af7f-4c8ea7a9b216 · inbound

Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos cites this paper.

Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:10.359984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a66767e-4128-4d57-89d0-e68a0ae760e1 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 199

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T09:50:48.239792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3307d26f-e09b-4242-bf29-da13c6286680 · inbound

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models cites this paper.

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T18:28:48.969967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1168409e-d411-486c-a8e6-9dd9b9e9546a · inbound

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model cites this paper.

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:59:26.808010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d9c6e48-f867-4319-8200-e39a6cdd7dfb · inbound

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations cites this paper.

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:55:44.550419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70d94d9b-18ce-487a-9a99-5ca01ad94f29 · inbound

Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark cites this paper.

Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T14:17:02.510657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b65aa256-bdea-4f33-917d-2ab7bc735c42 · inbound

MoWorld: A Flash World Model cites this paper.

MoWorld: A Flash World Model Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T13:14:53.229129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ede3225e-331c-49c6-9d41-05d636fd5e3e · inbound

MoWorld: A Flash World Model cites this paper.

MoWorld: A Flash World Model Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T04:32:03.997731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae434a5-f7d6-44e8-9344-81cd38555028 · inbound

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence cites this paper.

Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 78

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T03:05:55.168574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3202504f-15be-415e-a30e-b2201fbe1895 · inbound

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

OpenLongTail: Generative Scaling of Long-Tail Driving Data Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 21

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a164c70f-4fc0-4b92-8fb8-b1f11254c5f3 · inbound

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model cites this paper.

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T04:10:14.360463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a63339-f72d-4360-8ca2-33eaec2843fd · inbound

Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data cites this paper.

Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:11.922403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 396dccd5-4f33-4db5-8cdb-9e96d27db8d8 · inbound

M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming cites this paper.

M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T03:08:10.022400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a74e4e-9487-48c5-b210-7d19251b1278 · 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 Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T02:55:46.418345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6916c1ac-2b1d-4c8b-af5d-1b23893ee812 · inbound

Adaptive Model-Based Transfer Learning for Dynamic HVAC Control cites this paper.

Adaptive Model-Based Transfer Learning for Dynamic HVAC Control Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:44:38.437757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ade7d70-2ae4-48fb-bb11-7e00527bc354 · inbound

Adaptive Model-Based Transfer Learning for Dynamic HVAC Control cites this paper.

Adaptive Model-Based Transfer Learning for Dynamic HVAC Control Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T22:44:38.517716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c98cba-f3c4-4126-89dc-c16ffcb17e85 · inbound

Pictura: Perspective-View Self-Play at Scale for Driving cites this paper.

Pictura: Perspective-View Self-Play at Scale for Driving Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T00:58:57.477407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa843729-8093-4aa9-b6f8-64a2664689ec · inbound

Mitigating Compounding Error via Video Representation Regularization cites this paper.

Mitigating Compounding Error via Video Representation Regularization Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T13:09:35.844757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3c1832-d803-4ae1-bc95-ca546f07182a · inbound

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation cites this paper.

DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T07:37:49.565620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.