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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 3 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 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:06:51.707884Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:06:56.401302Z

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:d0a292e5185e1562d589599fcf19ad51ef7bfab49c46ec7a49f636659172b34a

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:c9f2a4616fb9302aab744f3809a73ea12fde21367cb966d38cdb4225a08ea8a1

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=sha256:7363a0cd33080a825411e3775267ecfc6fb98a4be6973c24d00f1121b1606613

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=sha256:21d764f437b45799c2c3ab750135e391f844dd1a7618c734b40ba1c401210824

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=sha256:26d6af22769aeb90246462800497a5e843d0605e8dbccb0fc9ef030d22a30201

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=sha256:0a10fa6277a95dd6ed6296a38b87e1a2e6668b6d3519a69b0fcb11e9c5004e26

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:aa8a77b653d128014afef0a2f91bc907dab5b46ae9dee416757211bb7f4a9897

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=sha256:290ca7cbb83a589eb9d1075829c0ef2bd600f0d6841edaa93593604c939c6434

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=sha256:091062002d418961c209846aa8a9b4c6150cde941a56c275ab51aa01f1888e4c

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=sha256:15a4a4d90f7e99bfc46fa76aff10e192c1ac40c7c5207800de01829a75c44c95

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=sha256:29f4879dfb33b434072086b497fda18c059d5040b96647a197bc1244131c619c

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:d61687260ac7e479a097901470c02b6290d556554cbcc3c2c560643e97d3f4a1

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:b2fb2770cbe90dc981b8e1534f1704017ad28b7c00707be4cdac458d149679ee

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=sha256:003917638fef4ecf855f934dd9412f67c10fecedb3d00b09a6c5f08308b4fc30

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=sha256:565e0e5dd30f1ffb7cd293d9b6ec14bdf49b837b92e85921eb4c68fa9007a448

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=sha256:435e1f27f2262ade13f1452d742bd75426581cf7ef21a30fdcb29ef3c5bf5197

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=sha256:0c51b82de2263dcd4d46d68c3961b0971d1343523e39a72439902cf7620c8cc7

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:b99c6e64e53f610c86c8ec023d5d230a9a3f27b2e1dac85456fff3e7b7e413f9

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=sha256:1f42fb0c93b0927c14029dc47aeb2842946f5df93d7df85198674282294b97d9

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=sha256:782ea09cdb2b8dfe64bba18282559460a7390392e508773fef35690582bb7d30

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:de3f2f53ed85a13e9462a13b432ea021eae0e46e5f9b6745f597ffbc404a2b92

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:ac2303ddc63f12485edfd16d77729427984cc97d5d4908e19eee2938f82bc48d

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=sha256:0266a81f7b52fa8dbf6a2c0bab49ae51655d2858a192e35853b31d2cf9878a1e

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=sha256:805cd61ac7228b9e560e644b6ba9bde3defb5174839713d961a81fdb9294bb29

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:e90d2475957767a7a020dea3cd0adc1eba4e58a9358922415d419a1fb296acf4

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:e4df108ee592a3b521c9e9a173ab3d6a21ff7f24dba9cece324a7e2532ee7dac

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=sha256:04d454b9b65b7d305b016dc28fc31c36d0e1790f40d5aedd286d285eaaf2a356

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:ba23120c5b2e4b4eb46aba2656eed69ce52bcb0067801830a7edeadd1ac1f56c

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=sha256:32e32a32789c99102a64d5e59eb00bef42af332cd5500e31c14ddd28be7a9fe3

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=sha256:20adba29f13e332f638c598afe2b9da618d637b344d148a37289698fe823760f

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=sha256:61e10006f8fa51609f4be71e26c693db6abb3e5311b425454f291a6d742b4ed6

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=sha256:06de2254bc7545ac6b8f27adc4c5d7a100b832b6818163a1692e15cdc7832e94

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=sha256:3cfcf5b65047c96d4d5be4a6f75d9abf1b88bc2b2365df02656b6008ba1e82c8

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=sha256:8d59cc742d98af2684a6edbe6e9c5c924dd3755c2de00bb92d9ab1d9e7e7535d

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:d41585a5757a0817fd0fb5ec0afddba9c26f08ff33800d35071331d2f5939dda

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=sha256:278b38039600ba04c3ceb7b3f5d01f5814e346a1ab6ba1980125ee06cb2a8817

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=sha256:286a9dd2a9510cbd7e39fa8fc36f96e30281fe60fd0bf9feedd9370a2e2108eb

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:a3f0d75f4aa7796b998e32bf019745c8fdbf7043226e8b993e2d402a82dea611

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=sha256:496ba9bb7456ab56d6729a2ad8c1ac80caec1e3b9af5070b173ca2e0973b5ae9

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:b6db5ce209814f28e90cbad699df7ab60be55ce7ac98b7f9970b9d16608ae0fb

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:cc425ac2910c0828d159bb52f25fd96a9563d0bae38d39d8d7d9dbc6e841f21e

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=sha256:21989571b759e7b743fbc2979670eb3d2d2b5f6a569912022c251c87186844fc

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=sha256:02756f689f55604cb70a3061d71fd444d4ac44c5b838b1fbb5f77d1321bf2c81

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=sha256:33195185d6463c2694868454a4a9f09d7fadd4cf9470c1fba6ddaa7d9fd4ea80

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:b01ff08397a0f399a278d41c6ad4ab8d1985f9a882849063446fd3f398844ab2

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=sha256:9e9b67e6705d7f1aa89f05d5964960048cb3a44a3780df51310d025ba4261536

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=sha256:18942ac651c9bcc519c316e9f613732aba16f3243049b2399e96694a6cbce540

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=sha256:264265c7ea8ccbf83acf1005240b17acc115f3226f173d9bcb568f6f4f50b17d

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=sha256:64a2399cf209071e4938f28a122389376f0f1d013dbfc7e20ea9f526ce32c174

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:a3c85ece6d8f2e349314347780c87fbbcc6a513287a1a974d82326372a25822e

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=sha256:3dea0404ad22e14a297a01d0c3420140e946367f07159f79a80174c03a45f24a

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:f9f0482991756458e9cc78702ac956e5bd400469f80c0ce0c535d8225b201a4d

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:ad7daaec19e99aaaa9fe066fcc8af934bdc8fced2b91b6fc4892f5903e32b894

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:ef223a6b7d6d54a4d33cee0692638597b008fd02af5394aae314ff9f5e944ad2

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=sha256:97d79cc97421fe5d2e8f7c03aef1ccc8191353c08b75bee44debd3fe92e7ae64

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:c8dbfeb79c03c62e1349a54c5dddb3f2e47dbd563052a9a38c8fbc3175b71fd7

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:a77a1aba69753f2238724c4d5ce3a78006880a02d4f849062e80085c29ed944f

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=sha256:2aa9449791e1fdd1940948afd0e9106871b525e9aa907aeb9a21f39fbc5bb88f

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:e7b8627abbcefd29b78a20499fec80f86d9943c818a8729ef1189a0cd4e73c99

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=sha256:7e1972fa0cf170646be8cc3ce705f18b68d7c1e89a33d13a19fb4f2767ddef10

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=sha256:54901e42333b6765e7a48ec212f151124f63a9f9e3a21f0b688719608f196079

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:d7abea81594aa32183bc3aec8de0d53efdf0741359d03c94ac3b6b232bcd6a6f

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=sha256:80faaf213ed488d9e1fa5170ae0e0e34fb41343b4a8ce3812525db3826a4c0a6

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:f41d5cde97fa979d0c54c424600386686ab7c669fce08400be2f0a69d858690c

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=sha256:6e2a3ffbb7f48503416de9952490520d8b68cddf9c0f9db4dee66d28e3cce5a3

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=sha256:29a4ff39de03ccb217633f54b9863333e1c428fa7c64b43f026101fdc7ff94dc

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:c8b5a6bc4aea9e832529c344ba5a6df625e3976903cc62373d36fb087c2bd391

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=sha256:7749a70260725a6af8b680b9ded49876ec241a9673437326fc38421b3b61170d

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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no resolver link, observed 2026-07-30T11:07:38.464524Z

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source=arxiv_source observed=2026-07-30T11:07:38.464524Z digest=sha256:75d26f750e10e538819b52643bf87947220c63d8a1aa366dcf733bc48d079909

Observation a8f3e74f-95e1-41ce-9902-adf2a33ca7dc · inbound

Addressable Memory for Video World Models cites this paper.

Addressable Memory for Video World Models NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

Reference 3

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verified exact
local_arxiv, observed 2026-08-10T05:06:56.404991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T05:06:51.707884Z digest=sha256:6e5bcea576d44f0e61496f980e22912a2ff43bf49ce0080b0b8eed32ce1916ac