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Paper Citation Record · LEDGER

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

As of 5 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2606.03159.

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

pith.paper-citation-record.v1
2606.03159 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:34:21.406081Z

measured 69 of 69 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:08:09.802588Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved67
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0471d148-b0fc-4e18-9fc2-e9ac18c65001 · outbound

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

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Cosmos World Foundation Model Platform for Physical AI

Reference 1

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source=pdf_text observed=2026-08-02T12:34:13.387089Z digest=sha256:1319767d79df276a12c2ebf9ade40f3e1b7115e6f46a4b883d42fe8349faf34f

Observation 4878d237-9bc8-4e91-9855-ac53f4ec4578 · outbound

This paper cites an unresolved cited work.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-02T12:34:13.479392Z digest=sha256:b87b379f6799c7eebd601278a85c70634bdddd968924217b1cb88b396eaf3ed3

Observation cbe6fb1e-278b-412b-8d88-961a767e91e0 · outbound

This paper cites Qwen Technical Report.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Qwen Technical Report

Reference 3

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source=pdf_text observed=2026-08-02T12:34:13.689997Z digest=sha256:9b2907ca65f6f5c4a326780b0dee0f12c5322fbf27efb2ce3c88a1a4a1f319af

Observation bcb0a3d0-64ae-4e23-8711-06ee84a50b83 · outbound

This paper cites an unresolved cited work.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T12:34:13.887297Z digest=sha256:a43e14c129fbdd335a96e1b6d635dd753f1ed88cb639d063b43093d2242ed580

Observation 543ea126-4a71-41d2-8cbb-dc945775985f · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Diffusion forcing: Next-token prediction meets full-sequence diffusion

Reference 5

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source=pdf_text observed=2026-08-02T12:34:14.048117Z digest=sha256:0cb1f4ab3f7b5d3ac20f8c0e511501869278631f857ceef7c50ff5bfcfedc5b4

Observation 0a8d0f2b-ff45-45d7-9b4b-2aca8a3b5c19 · outbound

This paper cites PufferDrive: A fast and friendly driving simulator for training and evaluating RL agents, 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation PufferDrive: A fast and friendly driving simulator for training and evaluating RL agents, 2025

Reference 6

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source=pdf_text observed=2026-08-02T12:34:14.178543Z digest=sha256:8b0e016b131aa6def351e34fe89e0124fe726828fd24a0a99e15cdadef7cd671

Observation 86999b68-2cfc-4881-98d5-a6fe061d3390 · outbound

This paper cites ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models

Reference 7

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source=pdf_text observed=2026-08-02T12:34:14.310088Z digest=sha256:2f5f187562a652df6345b7348a1290d3c11527be8d29d06ad1f2cab3380532d2

Observation f95e2177-6c9a-4db6-a89e-d2cfef7c356c · outbound

This paper cites Veo 3: Higher-quality video generation with audio and speech, 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Veo 3: Higher-quality video generation with audio and speech, 2025

Reference 8

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source=pdf_text observed=2026-08-02T12:34:14.448544Z digest=sha256:4f966482fd73c5615c1cac4359c151c2b67e50fa8b66425b1b42ba016e09f3c4

Observation 14ee29c4-ca2f-4100-8bd5-0ca4a4b3a4bd · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 9

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source=pdf_text observed=2026-08-02T12:34:14.667743Z digest=sha256:af90b2a391acab4032fa3a4c8719defbe05b933e1e65a8e152df7f2b18a8accd

Observation 6c29b08f-54f7-44f1-9f48-b23199e3a773 · outbound

This paper cites CARLA: An open urban driving simulator.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation CARLA: An open urban driving simulator

Reference 10

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source=pdf_text observed=2026-08-02T12:34:14.830915Z digest=sha256:13e1f2f064cb51c3db99aa3aa052e21174bb916db5b127bab58cbdc60ddad294

Observation 6511241c-dd99-48d3-9fd9-8ba82d6a830e · outbound

This paper cites MagicDrive: Street view generation with diverse 3d geometry control.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation MagicDrive: Street view generation with diverse 3d geometry control

Reference 11

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source=pdf_text observed=2026-08-02T12:34:15.024748Z digest=sha256:4168c0ecd41c9829b1b47eb262df104909246208f6d70ef4ea3e5440ee39fb57

Observation 45c6eeec-90fc-4b14-acd1-77a83053af7d · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 12

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source=pdf_text observed=2026-08-02T12:34:15.087489Z digest=sha256:64c5fcf3625518d007fbcf903726719b471eedb4fb1577e18d3d0fb60fce55a8

Observation dd9c37d6-35b1-40a0-8ffd-10a5358baf67 · outbound

This paper cites Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp

Reference 13

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source=pdf_text observed=2026-08-02T12:34:15.105990Z digest=sha256:839d2123c46ae81d02d1ff49b7f415e73ca749c9685bda2000086097fca03dcb

Observation 35d7a08c-bd2d-41e2-a9cc-38004a89a7f1 · outbound

This paper cites StreamingT2V: Consistent, dynamic, and extendable long video generation from text.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation StreamingT2V: Consistent, dynamic, and extendable long video generation from text

Reference 14

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source=pdf_text observed=2026-08-02T12:34:15.165912Z digest=sha256:f684ce47195eafd3971897553aef06c68216df6cc151484c6b919069a4c67cb5

Observation d3d815a8-b28f-40ee-be0c-dd92a9902ea2 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation GAIA-1: A Generative World Model for Autonomous Driving

Reference 15

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source=pdf_text observed=2026-08-02T12:34:15.271765Z digest=sha256:c577b842d57fb1dbc0a5c1d3fbee62ea75cff3d14f87fdb449ea3072130c43d2

Observation d15e0cfc-14df-45b2-a973-72f4d1916e8d · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 16

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source=pdf_text observed=2026-08-02T12:34:15.379949Z digest=sha256:90b2e3f81b3015b998503f18a7c31aacc15a301fef66fdfa0fdf79b8e9e11aac

Observation 37eb8fbf-aff8-4eaf-be72-3e054690375b · outbound

This paper cites Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection

Reference 17

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source=pdf_text observed=2026-08-02T12:34:15.536978Z digest=sha256:e7d1636bfa9fea5473a0f4c71e363019d8ffb02cd12119d5fb43670b6487e016

Observation ae112bdb-2976-4efb-870a-59c691fb81b5 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023

Reference 18

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source=pdf_text observed=2026-08-02T12:34:15.682439Z digest=sha256:ad9f2544439fbfdc9d01e70056cdb16111d2b298e9580dd40b1a633465e82439

Observation 6ef1c827-c454-45df-bf5f-5cb8c0e2451c · outbound

This paper cites FIFO-Diffusion: Generating infinite videos from text without training.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation FIFO-Diffusion: Generating infinite videos from text without training

Reference 19

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source=pdf_text observed=2026-08-02T12:34:15.754152Z digest=sha256:7c64aa2803d12eec5f30ee11eee51456a53a1d9974716d77cb32337a611ce473

Observation aaff7cdc-b8a6-4316-accd-09a2a1781ff2 · outbound

This paper cites DriveGAN: Towards a Controllable High-Quality Neural Simulation.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation DriveGAN: Towards a Controllable High-Quality Neural Simulation

Reference 20

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source=pdf_text observed=2026-08-02T12:34:15.853367Z digest=sha256:6f4ed964fd4901a90841120db3beed3d2471335e22ace916ec7b6eb684acbda1

Observation b34cb6f7-0cbc-4e61-9320-6abd5883ff3b · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Reference 21

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source=pdf_text observed=2026-08-02T12:34:15.936421Z digest=sha256:dd36b0aa3c7afbdbe37a721a5221a9713a93beafeed96a51a667bb3cd64660d9

Observation ac39401a-4851-47df-b270-f419b7319e87 · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 22

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source=pdf_text observed=2026-08-02T12:34:16.033188Z digest=sha256:26db54e6041c80f594ac46e94b5339a339c0d5e37399e990eee2e99110b26dcb

Observation 8867d9f1-c4eb-4d6f-87cf-516513f6367f · outbound

This paper cites Lightx2v: Light video generation inference framework.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Lightx2v: Light video generation inference framework

Reference 23

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source=pdf_text observed=2026-08-02T12:34:16.171222Z digest=sha256:0edf77bf818b4f8b039e7f6cc796b8357fa268f81518b39369d68eddd8672afb

Observation 6ac761e8-2cee-45f2-be75-1e50c7ff352f · outbound

This paper cites Ring attention with blockwise transformers for near-infinite context.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Ring attention with blockwise transformers for near-infinite context

Reference 24

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source=pdf_text observed=2026-08-02T12:34:16.329674Z digest=sha256:5dbdf14a1cd8d8eee5542cf3606725e69c9355ba7ed47927f78c665f0e8bb30b

Observation b2612d15-4101-4682-9d87-d9bd79cc1065 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 25

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source=pdf_text observed=2026-08-02T12:34:16.437340Z digest=sha256:4d74aa2f8f5d3e849ff0636c15ece7644da5ccee22ddb033a20acee6d56c4ba1

Observation 9b538118-a3aa-4f9d-9401-1b02ee65e751 · outbound

This paper cites LATR: 3D Lane Detection from Monocular Images with Transformer.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation LATR: 3D Lane Detection from Monocular Images with Transformer

Reference 26

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source=pdf_text observed=2026-08-02T12:34:16.546875Z digest=sha256:aab61a5c8a1062018f1bdbac626c402e177bbec69785c1d421f9f0743070b26d

Observation 8b08f170-b6aa-4d8a-87ee-fcb029823bf1 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Srinivasan, Matthew Tancik, Jonathan T

Reference 27

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source=pdf_text observed=2026-08-02T12:34:16.702061Z digest=sha256:52bea93d8efa7350a09f781d5ce87f02f766ff992784b9cfaa8a3a162d84601e

Observation 87a6fc5f-fc34-4ed4-9721-dd8741f1f3fa · outbound

This paper cites 3d gaussian ray tracing: Fast tracing of particle scenes.ACM Transactions on Graphics and SIGGRAPH Asia, 2024.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation 3d gaussian ray tracing: Fast tracing of particle scenes.ACM Transactions on Graphics and SIGGRAPH Asia, 2024

Reference 28

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source=pdf_text observed=2026-08-02T12:34:16.815525Z digest=sha256:93cb0205514843dff878c920221087776a5ab55bc43068cc404ec5841be98a41

Observation 87f46bc1-eb8a-40b3-84a0-00ac0ae7c4e1 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.ACM Trans.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Instant neural graphics primitives with a multiresolution hash encoding.ACM Trans

Reference 29

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source=pdf_text observed=2026-08-02T12:34:16.918118Z digest=sha256:f0ad7cb2044922fc392748228e45e340afe802ad9ccc5152e7aee4c248df93a5

Observation 4cb103fb-4bf4-4d2e-820b-0802cc207593 · outbound

This paper cites NVIDIA Omniverse NuRec: Neural reconstruction for autonomous vehicle simulation.https: //developer.nvidia.com/omniverse/nurec, 2024.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation NVIDIA Omniverse NuRec: Neural reconstruction for autonomous vehicle simulation.https: //developer.nvidia.com/omniverse/nurec, 2024

Reference 30

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source=pdf_text observed=2026-08-02T12:34:17.036319Z digest=sha256:cbf6140cbe31b9aeab560d95c5ad82a3dd104d25356dd7d18c3ceb67f39114ea

Observation 7c98d394-0f1c-4b32-8f69-7d0828da4f7d · outbound

This paper cites CUDA C++ Programming Guide: CUDA graphs.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation CUDA C++ Programming Guide: CUDA graphs

Reference 31

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source=pdf_text observed=2026-08-02T12:34:17.143166Z digest=sha256:26450dcea8e35fc088146d32972891366bb42e9d07223caaac6da406d6f4f1c0

Observation 6488663d-d8fc-4fa1-a3c3-ec6107e26e58 · outbound

This paper cites Physical AI autonomous vehicles NuRec dataset.https://huggingface.co/datasets/nvidia/ PhysicalAI-Autonomous-Vehicles-NuRec, October 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Physical AI autonomous vehicles NuRec dataset.https://huggingface.co/datasets/nvidia/ PhysicalAI-Autonomous-Vehicles-NuRec, October 2025

Reference 32

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source=pdf_text observed=2026-08-02T12:34:17.286739Z digest=sha256:53286ae3d1ba8a47a3e2d61c5c6422430ad7c929c945ffb8426289373f33ec4e

Observation ba28d442-6e81-405f-8219-aa41da504410 · outbound

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

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation World Simulation with Video Foundation Models for Physical AI

Reference 33

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source=pdf_text observed=2026-08-02T12:34:17.389528Z digest=sha256:885476c34df78da65fb5795819b0afaed0d82ad449fbaf40da38f41bc8281e87

Observation 7dc32a13-1ac1-45d3-b9d5-03cb042f38ea · outbound

This paper cites AlpaSim: An open-source closed-loop autonomous vehicle simulator.https://github.com/ NVlabs/alpasim, 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation AlpaSim: An open-source closed-loop autonomous vehicle simulator.https://github.com/ NVlabs/alpasim, 2025

Reference 34

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source=pdf_text observed=2026-08-02T12:34:17.675778Z digest=sha256:7b604cfa4b0cdf143bf680459d2dcc62857d6f1c3bb171adbcf28594c4693c17

Observation f6d2defa-a94c-461a-a928-a355cfb38fb0 · outbound

This paper cites Flashdreams: A high-performance streaming inference stack for world and video models.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Flashdreams: A high-performance streaming inference stack for world and video models

Reference 35

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source=pdf_text observed=2026-08-02T12:34:17.830011Z digest=sha256:3f5e55c85ee87417ee528f54189ff4336c4a131dd678e128d6f17a243b82df2e

Observation 0410b40d-a4fe-4b2a-b399-c74ae02e27ef · outbound

This paper cites Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

Reference 36

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source=pdf_text observed=2026-08-02T12:34:17.931668Z digest=sha256:435030edb6d725f0c1d1c2e50b30879db44e91f0e985dff41f555b1e64c6e9b5

Observation 16bb0baf-c63e-4b61-9af0-4a7068c8cf1a · outbound

This paper cites SIL-Wheel: A multi-modal search and curation platform for autonomous-vehicle video datasets.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation SIL-Wheel: A multi-modal search and curation platform for autonomous-vehicle video datasets

Reference 37

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source=pdf_text observed=2026-08-02T12:34:17.943905Z digest=sha256:83c7a415b3ffe58f47e6f94c81a6e60dd69a6e03057dd4b52159392b14de2a29

Observation 72613f9a-ea62-4056-9b33-7c26114d2276 · outbound

This paper cites Video generation models as world simulators.Technical Report, 2024.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Video generation models as world simulators.Technical Report, 2024

Reference 38

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source=pdf_text observed=2026-08-02T12:34:17.950686Z digest=sha256:49985bf5fba75cba210cd2a607a62ea2ce82df1bbadb6b121f261333a29967eb

Observation 8e673126-8939-4902-8272-de43a976e90f · outbound

This paper cites WorldEngine: Towards the era of post-training for physical ai, 2026.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation WorldEngine: Towards the era of post-training for physical ai, 2026

Reference 39

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source=pdf_text observed=2026-08-02T12:34:18.020090Z digest=sha256:8c9919ea2aa2065a3cacc0451e39a932520c9409b5029a885ec8f93166d3fb92

Observation c337636b-9a4b-4cf1-874b-0fd50be2faad · outbound

This paper cites an unresolved cited work.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-02T12:34:18.133328Z digest=sha256:62531593b453b2f9be2d7769f246230ab0535684d7209cca2f4e3b9d2887340a

Observation 5b6f1c73-4d76-4d5e-b7bd-62e83800db91 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Movie Gen: A Cast of Media Foundation Models

Reference 41

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source=pdf_text observed=2026-08-02T12:34:18.217351Z digest=sha256:6ea7e45e9318d3cc9f8c15764331b982adea6c2fb10028bafee8e782597fd86c

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

This paper cites Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

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

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source=pdf_text observed=2026-08-02T12:34:18.326897Z digest=sha256:c13b694986b2518163a0b6592d5e1fb9ee64417da92b469973de874dfc08c3f4

Observation 1abd104f-35c3-42fc-978b-00b7fb466cd7 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 43

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source=pdf_text observed=2026-08-02T12:34:18.434456Z digest=sha256:d44fb8500b0d45c2323fcfc9a35f4f1788e10571d2a387341ae25b1bf0d130b1

Observation f14badf2-ea29-4965-ab5c-1f6654bfba00 · outbound

This paper cites very scattered.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation very scattered

Reference 44

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source=pdf_text observed=2026-08-02T12:34:18.536357Z digest=sha256:82d2a5e2f540377fe6a6b0490364063ed85893b60d77e6f967b3153aefab3bc0

Observation 463999f8-5340-417b-943e-3d0b8911dfca · outbound

This paper cites Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2

Reference 45

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source=pdf_text observed=2026-08-02T12:34:18.628011Z digest=sha256:e1f3f964853ad962d9fc7d1bf5b8a185ea866f1f4b631f53c52df7d71604d5cd

Observation 746272ec-5d06-4a33-9094-8725779fe587 · outbound

This paper cites Advancing Open-source World Models.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Advancing Open-source World Models

Reference 46

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source=pdf_text observed=2026-08-02T12:34:18.766049Z digest=sha256:d7ef2a5369e17a85c3ec736456436e97b80e26cb203e64f605856d980b23ac9f

Observation 29a5d88e-941f-4aee-b659-59286eca915e · outbound

This paper cites NeuRAD: Neural rendering for autonomous driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation NeuRAD: Neural rendering for autonomous driving

Reference 47

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source=pdf_text observed=2026-08-02T12:34:18.901788Z digest=sha256:219376fa426eb79e1d87062a40fb03908978c830c77e7953fbb01ebe96fb0ef2

Observation 96df28c7-3191-4182-94c3-9e7cdd7a6d98 · outbound

This paper cites Simuli: Real-time lidar and camera simulation with unscented transforms.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Simuli: Real-time lidar and camera simulation with unscented transforms

Reference 48

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source=pdf_text observed=2026-08-02T12:34:18.996660Z digest=sha256:43019e0fb61dbe70024a2ba21d240259c57149d57484c58db1e82a788916fa5e

Observation 32b64eab-6708-4563-af13-838b8bd20462 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 49

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source=pdf_text observed=2026-08-02T12:34:19.106656Z digest=sha256:0895747315dcb9974458542aa852d6c527cf9968e28f3ac1fa01f8b43990ccda

Observation c35a6f9d-a0b1-4a2a-9c0e-55f60c6ed27e · outbound

This paper cites DriveDreamer: Towards real-world-driven world models for autonomous driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation DriveDreamer: Towards real-world-driven world models for autonomous driving

Reference 50

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source=pdf_text observed=2026-08-02T12:34:19.216396Z digest=sha256:c4012eb2e4db67644682ec1ec72d54b20144d5ffce2dda59cb3fb59476d7d534

Observation af2a3330-ddae-4ebc-a148-b42fb638d54c · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving

Reference 51

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source=pdf_text observed=2026-08-02T12:34:19.290139Z digest=sha256:e2fa5b44fd1a3c08e432101bc7c114944942ac3beee4395f26552ce691325cf2

Observation 8290505c-5342-4804-b30e-5b93fed06ac7 · outbound

This paper cites The Waymo World Model: A new frontier for au- tonomous driving simulation.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation The Waymo World Model: A new frontier for au- tonomous driving simulation

Reference 52

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source=pdf_text observed=2026-08-02T12:34:19.399470Z digest=sha256:35641804fcaabb63a0c697bb0cbd7cd2f8de7b9186bfcc8ab0e4ef73ee51beb4

Observation 3ed99633-13e3-4cfb-9158-4a72f54d879f · outbound

This paper cites Chronoedit: Towards temporal reasoning for image editing and world simulation.arXiv preprint arXiv:2510.04290, 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Chronoedit: Towards temporal reasoning for image editing and world simulation.arXiv preprint arXiv:2510.04290, 2025

Reference 53

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source=pdf_text observed=2026-08-02T12:34:19.499893Z digest=sha256:a8a260bc3468772e99eb5e56ffb04a4216a9c8a659f2a587cf7e97e51f46e014

Observation fd54da72-268d-44c6-968a-1e94eb7544aa · outbound

This paper cites Difix3d+: Improving 3d reconstructions with single-step diffusion models.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Difix3d+: Improving 3d reconstructions with single-step diffusion models

Reference 54

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source=pdf_text observed=2026-08-02T12:34:19.611726Z digest=sha256:88131dba6e74200a29a344d4099cf2049bff43b9cdf210d41237335b442f57eb

Observation a1765462-3d96-4dd6-9890-c6ed142fb474 · outbound

This paper cites 3dgut: Enabling distorted cameras and secondary rays in gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation 3dgut: Enabling distorted cameras and secondary rays in gaussian splatting.Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Reference 55

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source=pdf_text observed=2026-08-02T12:34:19.684632Z digest=sha256:cdd7df481e71d41bb45f9e87d512e82c951b97adee006fe615083822cab95998

Observation 115fe676-59d7-4faf-b68a-1b1d7e0190d6 · outbound

This paper cites Efficient streaming language models with attention sinks.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Efficient streaming language models with attention sinks

Reference 56

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source=pdf_text observed=2026-08-02T12:34:19.795239Z digest=sha256:8c53412fdee0ff0dfcc19ddcaa093d9affc0bf8ebf37fe15e7165992744bd7f7

Observation be954ea8-d841-4d98-bb19-90c8926ccc2a · outbound

This paper cites EmerNeRF: Emergent spatial-temporal scene decomposition via self-supervision.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation EmerNeRF: Emergent spatial-temporal scene decomposition via self-supervision

Reference 57

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source=pdf_text observed=2026-08-02T12:34:19.871674Z digest=sha256:ccc425be259757cd2aa14936ae1b8dae5549bb9b45e88a6117b147e0bd1b9243

Observation dfb1aede-4370-4d2c-b92e-cc483eb110c3 · outbound

This paper cites Generalized predictive model for autonomous driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Generalized predictive model for autonomous driving

Reference 58

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source=pdf_text observed=2026-08-02T12:34:20.070368Z digest=sha256:f2349efda9401296a5963da75804a6aca47dad5c54259dfe21ed14e32699793a

Observation 704d2108-58b5-4cb4-84fd-7cb5f9b1c902 · outbound

This paper cites DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Reference 59

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source=pdf_text observed=2026-08-02T12:34:20.261664Z digest=sha256:cce907631cbc67b7ab78cd2c728880a52d162ad3d3c01c07f6c9926f25ff7bbb

Observation 2fa3a65d-5546-4000-b61e-52aa5d9cd584 · outbound

This paper cites World Action Models are Zero-shot Policies.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation World Action Models are Zero-shot Policies

Reference 60

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source=pdf_text observed=2026-08-02T12:34:20.400185Z digest=sha256:5c13adb442527b16e885344ee88add0dc75476e44cdacdc4d5d398cf6a137f05

Observation 88198beb-f66a-483a-a681-b99ea6baff6f · outbound

This paper cites One-step diffusion with distribution matching distillation.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation One-step diffusion with distribution matching distillation

Reference 61

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source=pdf_text observed=2026-08-02T12:34:20.604253Z digest=sha256:3282430f3fe753609e16ba720a5d0a9c5300ba5e5f5941963ea0a89a700cfeab

Observation 36bb3992-7df0-483b-92fb-eb5bd7966722 · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 62

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source=pdf_text observed=2026-08-02T12:34:20.808119Z digest=sha256:90d0b057a4da570cd7140d9b6351ebd9eed9e32b462f305ce450a1cb61215242

Observation 20ad3aa8-f980-419f-b2dc-1214ee135644 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 63

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source=pdf_text observed=2026-08-02T12:34:20.969223Z digest=sha256:85bfa510439f7f980ab5e2a99891efb4b419ed3ea4d502292f83b5884f53ac27

Observation 5e302fab-afc0-47f3-98d5-a5e3d7c635e3 · outbound

This paper cites Diffusionharmonizer: Bridging neural reconstruction and photorealistic simulation with online diffusion enhancer.arXiv preprint arXiv:2602.24096, 2026.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Diffusionharmonizer: Bridging neural reconstruction and photorealistic simulation with online diffusion enhancer.arXiv preprint arXiv:2602.24096, 2026

Reference 64

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source=pdf_text observed=2026-08-02T12:34:21.107861Z digest=sha256:529d6e2228a3299edc81c3d2dcd6f47ea49ec851f699a6c86d843cd6c53f30af

Observation a0676030-3860-437c-9b87-52978636cc96 · outbound

This paper cites HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving

Reference 65

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source=pdf_text observed=2026-08-02T12:34:21.278075Z digest=sha256:77d38cfba0c839f7ec7f0c923a9153cfa669298ed6917368a8d65da98ab86ddf

Observation ed907d6c-1ff5-4a6c-9b38-1a2caa0ed4ba · outbound

This paper cites FlashVSR: Towards real-time diffusion-based streaming video super-resolution.arXiv preprint arXiv:2510.12747, 2025.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation FlashVSR: Towards real-time diffusion-based streaming video super-resolution.arXiv preprint arXiv:2510.12747, 2025

Reference 66

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source=pdf_text observed=2026-08-02T12:34:21.406081Z digest=sha256:c38a699dd472a305e63c8fbee88943baa90aa0763bae29942c37731c20ede895

Observation cd44b771-679f-4aef-9219-aaf43d1c273f · outbound

This paper cites an unresolved cited work.

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Unresolved cited work

Reference 2025

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source=pdf_text observed=2026-08-02T12:34:17.549848Z digest=sha256:bfa936afdf5b0ed05cb6fbe8bcf382cb345f82c9c063fb2d75519e9c9a47dcf3

Pith citing papers

Observation 80b340a8-6106-40d1-9cdf-171fa11ec490 · 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 NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

Reference 33

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source=pdf_text observed=2026-08-02T03:08:09.802588Z digest=sha256:60ccd5998716547e117b51257514738490cc7e67136dc57b3eeefc4a3c5a2052

Observation 5a6078cb-3cd7-4519-a099-f94e2efcd95f · inbound

Mental World Modeling cites this paper.

Mental World Modeling NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

Reference 31

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source=arxiv_source observed=2026-07-30T11:07:38.464524Z digest=sha256:76472144b9f36c0566001397a5339f58fb5b405c9ed4711f620b20f3cb733c05