Paper Citation Record · LEDGER

OmniNWM: Omniscient Driving Navigation World Models

As of 6 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 16 inbound Pith citation observations for arXiv:2510.18313.

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

pith.paper-citation-record.v1
2510.18313 v6

Coverage vector

measured 100 of 120 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:17.228070Z

measured 116 of 116 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:27:19.679573Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T03:24:28.733832Z

Reference resolution

100 of 120 outbound references displayed

verified exact0
verified fuzzy0
unresolved100
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2831a9cf-f7e3-447a-aaaf-af1504a6e8cf · outbound

This paper cites VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.

OmniNWM: Omniscient Driving Navigation World Models VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.028270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6ee9af-2023-4e8c-bb13-5091ab44720d · outbound

This paper cites Qwen Technical Report.

OmniNWM: Omniscient Driving Navigation World Models Qwen Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.108955Z

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Observation e65d6428-a7f1-431d-a14b-624d3bccb342 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

OmniNWM: Omniscient Driving Navigation World Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.235801Z

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Observation 19e1ac67-8734-43c7-89ca-f1c277e86e7b · outbound

This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.

OmniNWM: Omniscient Driving Navigation World Models ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.379417Z

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Observation a843a6e8-4b4a-490c-9d3d-0aa520002527 · outbound

This paper cites Navigation world models.

OmniNWM: Omniscient Driving Navigation World Models Navigation world models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.574534Z

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Observation 24d9242d-c057-4d96-a3ff-1cd83cb570ce · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

OmniNWM: Omniscient Driving Navigation World Models nuscenes: A multi- modal dataset for autonomous driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.714782Z

Source-reported events for the cited work

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Observation 914d297d-d9fb-4565-8350-951d8d42132c · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion.

OmniNWM: Omniscient Driving Navigation World Models Monoscene: Monoc- ular 3d semantic scene completion

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:05.895386Z

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Observation 394e9e6e-9255-4f0e-a44e-bc15cf7216f2 · outbound

This paper cites Unimlvg: Unified framework for multi-view long video generation with comprehensive control capabilities for autonomous driving, 2025.

OmniNWM: Omniscient Driving Navigation World Models Unimlvg: Unified framework for multi-view long video generation with comprehensive control capabilities for autonomous driving, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.082226Z

Source-reported events for the cited work

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Observation bc8228ab-81b5-4d72-a1d5-da9f8921bc51 · outbound

This paper cites 3d sketch-aware semantic scene completion via semi-supervised structure prior.

OmniNWM: Omniscient Driving Navigation World Models 3d sketch-aware semantic scene completion via semi-supervised structure prior

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.197042Z

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Observation 3a6d9e88-66ec-41f4-be1a-c4b038a357fc · outbound

This paper cites DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers.

OmniNWM: Omniscient Driving Navigation World Models DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.331572Z

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Observation 1f7b0815-e253-4a45-8645-c237db0073a8 · outbound

This paper cites Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models.

OmniNWM: Omniscient Driving Navigation World Models Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.465834Z

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Observation 8079f1e1-e2df-4b16-bde3-f8bac026f12c · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

OmniNWM: Omniscient Driving Navigation World Models The cityscapes dataset for semantic urban scene understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.673749Z

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Observation 36afbdbc-3ad6-438d-949c-3100a984b16e · outbound

This paper cites Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds.

OmniNWM: Omniscient Driving Navigation World Models Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.839966Z

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Observation ef5d3f3a-f7bf-4fb7-91eb-e505e2c807e0 · outbound

This paper cites Minimizing the accumulated trajectory error to improve dataset distillation.

OmniNWM: Omniscient Driving Navigation World Models Minimizing the accumulated trajectory error to improve dataset distillation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:06.970346Z

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Observation 8e9ec3ab-ab47-4473-aa9b-5811e2fe31e4 · outbound

This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.

OmniNWM: Omniscient Driving Navigation World Models Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:07.103973Z

Source-reported events for the cited work

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Observation 6f6fb39a-efb9-4313-9087-3189282d1c18 · outbound

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

OmniNWM: Omniscient Driving Navigation World Models MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:07.247292Z

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Observation 4da5ad86-3297-45d1-b711-6731e96fda9b · outbound

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

OmniNWM: Omniscient Driving Navigation World Models Magicdrive: Street view generation with diverse 3d geometry control

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:07.370661Z

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Observation 42be46b7-9826-460d-8438-61954da8ef21 · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.Advances in Neural Informa- tion Processing Systems, 37:91560–91596, 2025.

OmniNWM: Omniscient Driving Navigation World Models Vista: A generalizable driving world model with high fidelity and versatile controllability.Advances in Neural Informa- tion Processing Systems, 37:91560–91596, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:07.564741Z

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Observation 102c0db0-bc27-4c02-b3d6-364a484337df · outbound

This paper cites Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:07.697230Z

Source-reported events for the cited work

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Observation 4bde4f17-be1a-4267-a3c3-e4f1088cdee7 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

OmniNWM: Omniscient Driving Navigation World Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:07.891556Z

Source-reported events for the cited work

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Observation d07c0670-6057-4f92-98a5-34e0afad3962 · outbound

This paper cites DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation.

OmniNWM: Omniscient Driving Navigation World Models DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.081972Z

Source-reported events for the cited work

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Observation 1f4e4ccf-3a5d-48c7-bd29-26a10afca9d9 · outbound

This paper cites Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency.

OmniNWM: Omniscient Driving Navigation World Models Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.231458Z

Source-reported events for the cited work

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Observation 516d6ba1-16c5-4c04-9282-50119a31716b · outbound

This paper cites Gem: A generalizable ego-vision multimodal world model for fine-grained ego-motion, object dynamics, and scene composition control.

OmniNWM: Omniscient Driving Navigation World Models Gem: A generalizable ego-vision multimodal world model for fine-grained ego-motion, object dynamics, and scene composition control

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.374626Z

Source-reported events for the cited work

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Observation f5de9b42-418e-4070-916b-439f6793b17c · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

OmniNWM: Omniscient Driving Navigation World Models CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.511532Z

Source-reported events for the cited work

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Observation 5cf864f2-3c4c-4b9c-a564-9cd0527662e6 · outbound

This paper cites CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models.

OmniNWM: Omniscient Driving Navigation World Models CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.632186Z

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Observation a53d39db-1d64-4aa2-8215-c41760f5acdb · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

OmniNWM: Omniscient Driving Navigation World Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.724078Z

Source-reported events for the cited work

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Observation 1aa21998-d941-4cd7-902f-3f6a65e31881 · outbound

This paper cites Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes.

OmniNWM: Omniscient Driving Navigation World Models Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:08.905332Z

Source-reported events for the cited work

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Observation 75131f96-2445-4a60-9ac8-e8c51782c39a · outbound

This paper cites Closed-form solution of absolute orien- tation using unit quaternions.Journal of the optical society of America A, 4(4):629–642, 1987.

OmniNWM: Omniscient Driving Navigation World Models Closed-form solution of absolute orien- tation using unit quaternions.Journal of the optical society of America A, 4(4):629–642, 1987

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.024332Z

Source-reported events for the cited work

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Observation c53cd00e-2a2f-4560-af7d-c4580bdba406 · outbound

This paper cites Training-free Camera Control for Video Generation.

OmniNWM: Omniscient Driving Navigation World Models Training-free Camera Control for Video Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.150925Z

Source-reported events for the cited work

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Observation 2e844543-b524-449f-aac1-5acb46f0c9ec · outbound

This paper cites Squeeze-and-excitation networks.

OmniNWM: Omniscient Driving Navigation World Models Squeeze-and-excitation networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.348408Z

Source-reported events for the cited work

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Observation 4be31751-4d72-4bd0-8886-6c587a079584 · outbound

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

OmniNWM: Omniscient Driving Navigation World Models DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.462192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abb414f-6d61-4b44-8fcd-faa1a0b713e9 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction.

OmniNWM: Omniscient Driving Navigation World Models Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.594978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3920ba62-6c9b-4614-9e72-5ab1bd8de44a · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.760569Z

Source-reported events for the cited work

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Observation 31fe7976-8853-479a-94ca-4d3371364f95 · outbound

This paper cites RayZer: A Self-supervised Large View Synthesis Model.

OmniNWM: Omniscient Driving Navigation World Models RayZer: A Self-supervised Large View Synthesis Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.863645Z

Source-reported events for the cited work

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Observation 1e442d6d-ecbd-4341-96de-f593c95ab509 · outbound

This paper cites TSIT: A simple and versatile framework for image-to-image translation.

OmniNWM: Omniscient Driving Navigation World Models TSIT: A simple and versatile framework for image-to-image translation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:09.997936Z

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Observation 67ceff2c-4f8f-4ea4-9f88-f1bfc4b20f94 · outbound

This paper cites LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

OmniNWM: Omniscient Driving Navigation World Models LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.176737Z

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Observation 9c52013a-a8a1-4abb-993e-6a416a9db358 · outbound

This paper cites Drivegan: Towards a controllable high-quality neural simulation.

OmniNWM: Omniscient Driving Navigation World Models Drivegan: Towards a controllable high-quality neural simulation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.275589Z

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Observation 1cbaa0e5-0270-4eb1-95a2-5f66c6f04b5a · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

OmniNWM: Omniscient Driving Navigation World Models HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.411369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5995934-c88d-4017-bcf0-9319a829c2cd · outbound

This paper cites Collab- orative video diffusion: Consistent multi-video generation with camera control.Advances in Neural Information Pro- cessing Systems, 37:16240–16271, 2024.

OmniNWM: Omniscient Driving Navigation World Models Collab- orative video diffusion: Consistent multi-video generation with camera control.Advances in Neural Information Pro- cessing Systems, 37:16240–16271, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.580068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5243507-e9bb-4fb4-ab95-3828a4837a33 · outbound

This paper cites an unresolved cited work.

OmniNWM: Omniscient Driving Navigation World Models Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.718824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81cb7b6f-b2d8-469b-8d0a-c8b6d77329be · outbound

This paper cites Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion.

OmniNWM: Omniscient Driving Navigation World Models Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.873744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d198d8-a9dd-41ea-87ca-5e137159b119 · outbound

This paper cites Hierarchical temporal context learning for camera-based semantic scene comple- tion.

OmniNWM: Omniscient Driving Navigation World Models Hierarchical temporal context learning for camera-based semantic scene comple- tion

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:10.972840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21002e53-e7f3-4bef-99b2-85b69c1bc5e3 · outbound

This paper cites Hierarchical context align- ment with disentangled geometric and temporal model- ing for semantic occupancy prediction.arXiv preprint arXiv:2412.08243, 2024.

OmniNWM: Omniscient Driving Navigation World Models Hierarchical context align- ment with disentangled geometric and temporal model- ing for semantic occupancy prediction.arXiv preprint arXiv:2412.08243, 2024

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.040987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d9ea89-247a-4212-9056-90ed6f072b65 · outbound

This paper cites Bridging stereo geometry and bev repre- sentation with reliable mutual interaction for semantic scene completion.

OmniNWM: Omniscient Driving Navigation World Models Bridging stereo geometry and bev repre- sentation with reliable mutual interaction for semantic scene completion

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.116624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 180f8e89-4ec8-49bd-8aaa-ea54de904131 · outbound

This paper cites Uniscene: Unified occupancy-centric driving scene generation.

OmniNWM: Omniscient Driving Navigation World Models Uniscene: Unified occupancy-centric driving scene generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.197993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f13801-be3f-49b7-a0cd-696c9ff7ea00 · outbound

This paper cites Occscene: Semantic occupancy-based cross-task mutual learning for 3d scene generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

OmniNWM: Omniscient Driving Navigation World Models Occscene: Semantic occupancy-based cross-task mutual learning for 3d scene generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.283542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d657283-8730-487a-a3d2-e3c9688f1816 · outbound

This paper cites Anisotropic convolutional networks for 3d semantic scene completion.

OmniNWM: Omniscient Driving Navigation World Models Anisotropic convolutional networks for 3d semantic scene completion

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.365440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57063a81-73d3-4d5f-9b6a-d349a4c07b24 · outbound

This paper cites Cameras as relative positional encoding.

OmniNWM: Omniscient Driving Navigation World Models Cameras as relative positional encoding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.520283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07038e20-3d0f-4969-8367-d17345f19a91 · outbound

This paper cites Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction.

OmniNWM: Omniscient Driving Navigation World Models Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.684561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbb360b-5a51-4d5b-b0f8-62f39ec43a9c · outbound

This paper cites Gaussianfusion: Gaussian-based multi-sensor fusion for end-to-end autonomous driving.arXiv preprint arXiv:2506.00034, 2025.

OmniNWM: Omniscient Driving Navigation World Models Gaussianfusion: Gaussian-based multi-sensor fusion for end-to-end autonomous driving.arXiv preprint arXiv:2506.00034, 2025

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.762453Z

Source-reported events for the cited work

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Observation 369b7132-10c7-4458-a0a0-555b17751915 · outbound

This paper cites Ssr: Enhancing depth perception in vision-language mod- els via rationale-guided spatial reasoning.arXiv preprint arXiv:2505.12448, 2025.

OmniNWM: Omniscient Driving Navigation World Models Ssr: Enhancing depth perception in vision-language mod- els via rationale-guided spatial reasoning.arXiv preprint arXiv:2505.12448, 2025

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:11.911264Z

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Observation 5807c8b5-aaed-4e6d-949d-b48dc388f99a · outbound

This paper cites Depthlab: From partial to complete.arXiv preprint arXiv:2412.18153, 2024.

OmniNWM: Omniscient Driving Navigation World Models Depthlab: From partial to complete.arXiv preprint arXiv:2412.18153, 2024

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.020464Z

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Observation 1cc542fb-5c9d-4150-9172-bb3eca9e9154 · outbound

This paper cites Multi-view depth estimation using epipolar spatio-temporal networks.

OmniNWM: Omniscient Driving Navigation World Models Multi-view depth estimation using epipolar spatio-temporal networks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.109175Z

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Observation f0ae6181-7e43-47ea-81e3-8e0edfe74bf2 · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion.

OmniNWM: Omniscient Driving Navigation World Models Wonder3d: Single image to 3d using cross-domain diffusion

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.254677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fcd0638-ff58-4d8c-adcd-316b813bb285 · outbound

This paper cites Decoupled Weight Decay Regularization.

OmniNWM: Omniscient Driving Navigation World Models Decoupled Weight Decay Regularization

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.372263Z

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Observation 088cad6a-36e7-4b17-8f0f-defca6e726b9 · outbound

This paper cites WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation.

OmniNWM: Omniscient Driving Navigation World Models WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.456571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d319d2-536b-442d-a8d6-b663ee9405bb · outbound

This paper cites Infinicube: Unbounded and controllable dynamic 3d driving scene generation with world-guided video models, 2025.

OmniNWM: Omniscient Driving Navigation World Models Infinicube: Unbounded and controllable dynamic 3d driving scene generation with world-guided video models, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.563288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9b8793-8561-4b6a-817c-5e6a383cfdb3 · outbound

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

OmniNWM: Omniscient Driving Navigation World Models DreamDrive: Generative 4D Scene Modeling from Street View Images

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.673211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7959cb13-2ff2-481a-b8b2-616348b4e7a8 · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation.

OmniNWM: Omniscient Driving Navigation World Models Rangenet++: Fast and accurate lidar semantic segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.781073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d49bb6-3bfa-44f3-a040-aab8df1fb233 · outbound

This paper cites Orbis: Overcoming challenges of long-horizon prediction in driving world models.arXiv preprint arXiv:2507.13162, 2025.

OmniNWM: Omniscient Driving Navigation World Models Orbis: Overcoming challenges of long-horizon prediction in driving world models.arXiv preprint arXiv:2507.13162, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.842772Z

Source-reported events for the cited work

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Observation 53ba08b1-52d0-4f86-97d3-4477e0a2ad71 · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

OmniNWM: Omniscient Driving Navigation World Models The mapillary vistas dataset for semantic understanding of street scenes

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:12.939113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39436e01-a631-4c90-8bda-9bfeb7544048 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

OmniNWM: Omniscient Driving Navigation World Models Learning transferable visual models from natural language supervi- sion

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.014489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7568eb55-a468-4a2f-8bad-494d73f91d59 · outbound

This paper cites Lmscnet: Lightweight multiscale 3d semantic completion.

OmniNWM: Omniscient Driving Navigation World Models Lmscnet: Lightweight multiscale 3d semantic completion

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.120479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2fc113-a9b0-44a1-9a12-82034ad7ff2a · outbound

This paper cites Neural atlas graphs for dynamic scene decomposition and editing.

OmniNWM: Omniscient Driving Navigation World Models Neural atlas graphs for dynamic scene decomposition and editing

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.214292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d329a4-ccaa-4059-884b-43b2cd821ff9 · outbound

This paper cites DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.282913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0ab288-d319-40f2-8ab3-62e27b388fa3 · outbound

This paper cites CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.393498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1edce9-d5bb-47ff-9442-8497e9bb9d20 · outbound

This paper cites an unresolved cited work.

OmniNWM: Omniscient Driving Navigation World Models Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.507116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84fa769-2ac2-4bee-87d4-7779d7bf30da · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

OmniNWM: Omniscient Driving Navigation World Models Scalability in perception for autonomous driving: Waymo open dataset

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16936697-bbf4-4305-b7d0-48b6417e86eb · outbound

This paper cites Street- view image generation from a bird’s-eye view layout.IEEE Robotics and Automation Letters, 2024.

OmniNWM: Omniscient Driving Navigation World Models Street- view image generation from a bird’s-eye view layout.IEEE Robotics and Automation Letters, 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b532c1-829a-4ff4-ad1a-075d6ed4f7da · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

OmniNWM: Omniscient Driving Navigation World Models Efficientnet: Rethinking model scaling for convolutional neural networks

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d473884-8eaf-4c29-8efa-2988aa086cfc · outbound

This paper cites Sparseocc: Re- thinking sparse latent representation for vision-based seman- tic occupancy prediction.

OmniNWM: Omniscient Driving Navigation World Models Sparseocc: Re- thinking sparse latent representation for vision-based seman- tic occupancy prediction

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:13.852785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe34319-6338-4886-be4b-1c59827d9542 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

OmniNWM: Omniscient Driving Navigation World Models DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7f6181-fae3-4aae-9de0-25f5ccf1d9d1 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

OmniNWM: Omniscient Driving Navigation World Models Towards Accurate Generative Models of Video: A New Metric & Challenges

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:14.062494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1ad4d9-233c-4fbb-ac9b-572ea580cf84 · outbound

This paper cites OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:14.177501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074a73b0-4de6-4582-a702-a97cc8986e2b · outbound

This paper cites Vggt: Visual geometry grounded transformer.

OmniNWM: Omniscient Driving Navigation World Models Vggt: Visual geometry grounded transformer

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:14.288305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e334b92-1a9f-4f6f-991e-4a9bfcedbb00 · outbound

This paper cites Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model.

OmniNWM: Omniscient Driving Navigation World Models Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:14.462168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118cbab7-0110-4bdf-a509-03fe061a3189 · outbound

This paper cites Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception.ICCV, 2023.

OmniNWM: Omniscient Driving Navigation World Models Openoccupancy: A large scale benchmark for surrounding semantic occupancy perception.ICCV, 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c942b828-3198-4233-aefa-0a024de4b880 · outbound

This paper cites Drivedreamer: Towards real-world-driven world models for autonomous driving.ECCV, 2024.

OmniNWM: Omniscient Driving Navigation World Models Drivedreamer: Towards real-world-driven world models for autonomous driving.ECCV, 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7c09cd-d3cb-482e-adba-f6f60703e000 · outbound

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

OmniNWM: Omniscient Driving Navigation World Models Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:14.756667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc85086f-ec27-4245-b436-3fa42575f5e3 · outbound

This paper cites UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:14.854280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16533be9-79b7-4c89-b5a4-a6b6047ad1f0 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

OmniNWM: Omniscient Driving Navigation World Models Motionctrl: A unified and flexible motion controller for video generation

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230a539f-aaa1-4833-8e3a-8c3ab9746fb1 · outbound

This paper cites Surround- depth: Entangling surrounding views for self-supervised multi-camera depth estimation.

OmniNWM: Omniscient Driving Navigation World Models Surround- depth: Entangling surrounding views for self-supervised multi-camera depth estimation

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.034695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9cadc56-2832-450b-a60f-2c5dd7de5d19 · outbound

This paper cites Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving.

OmniNWM: Omniscient Driving Navigation World Models Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.106656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ba738a-efe8-4695-b200-4aa1391e451b · outbound

This paper cites Panacea: Panoramic and controllable video generation for autonomous driving.

OmniNWM: Omniscient Driving Navigation World Models Panacea: Panoramic and controllable video generation for autonomous driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.213828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31fa7b0b-6c1d-4baf-9d36-885e890c84ec · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

OmniNWM: Omniscient Driving Navigation World Models Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.324388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6185972c-2b98-4fa0-a1b6-1bf5d5d0b93a · outbound

This paper cites Scpnet: Se- mantic scene completion on point cloud.

OmniNWM: Omniscient Driving Navigation World Models Scpnet: Se- mantic scene completion on point cloud

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.473129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42883488-ebd0-4d8d-b93b-bd70511f5131 · outbound

This paper cites RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case.

OmniNWM: Omniscient Driving Navigation World Models RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.573913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bcc7638-cade-4710-bb06-bf4a63b1743b · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.Advances in neural information processing systems, 34: 12077–12090, 2021.

OmniNWM: Omniscient Driving Navigation World Models Segformer: Simple and efficient design for semantic segmentation with transform- ers.Advances in neural information processing systems, 34: 12077–12090, 2021

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.663596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b069c60-11dc-4e5c-a300-32b625575011 · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

OmniNWM: Omniscient Driving Navigation World Models CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.760149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13f858e-c2b9-42d6-afdd-991dd3d2547c · outbound

This paper cites AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:15.849493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfeb0ea9-c058-4638-82c3-a467ee0881c6 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024.

OmniNWM: Omniscient Driving Navigation World Models Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b34e75-827d-4ad9-9d73-65cca60f8fa8 · outbound

This paper cites Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion.

OmniNWM: Omniscient Driving Navigation World Models Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.158213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1535ea1-6652-4ef0-bbc1-46be98a8fe95 · outbound

This paper cites ReSim: Reliable World Simulation for Autonomous Driving.

OmniNWM: Omniscient Driving Navigation World Models ReSim: Reliable World Simulation for Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.305622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445ac067-2519-4b14-bb93-66ee271da549 · outbound

This paper cites BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.

OmniNWM: Omniscient Driving Navigation World Models BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.435082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6060c65e-37d5-47b3-b670-5ed2dcad9e8b · outbound

This paper cites Direct-a-video: Customized video generation with user- directed camera movement and object motion.

OmniNWM: Omniscient Driving Navigation World Models Direct-a-video: Customized video generation with user- directed camera movement and object motion

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.508564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbdc4df-d0da-4d40-8ad3-5ecf65af25c4 · outbound

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

OmniNWM: Omniscient Driving Navigation World Models DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.662174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b0d0e2-004b-4f65-a1c5-fa10880efcb7 · outbound

This paper cites X-scene: Large-scale driving scene gen- eration with high fidelity and flexible controllability.arXiv preprint arXiv:2506.13558, 2025.

OmniNWM: Omniscient Driving Navigation World Models X-scene: Large-scale driving scene gen- eration with high fidelity and flexible controllability.arXiv preprint arXiv:2506.13558, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.790616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eed789d-812c-4c1c-ad96-9c0716a42e54 · outbound

This paper cites Instadrive: Instance-aware driving world models for realistic and consistent video generation.

OmniNWM: Omniscient Driving Navigation World Models Instadrive: Instance-aware driving world models for realistic and consistent video generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:16.909172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eb0bc96-ead9-4b66-b452-704cabe910fd · outbound

This paper cites Driving view synthesis on free-form trajectories with generative prior, 2025.

OmniNWM: Omniscient Driving Navigation World Models Driving view synthesis on free-form trajectories with generative prior, 2025

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5002dfe-6b8f-4394-8f0f-e616ee152e47 · outbound

This paper cites Bevdiffuser: Plug-and-play diffusion model for bev denoising with ground-truth guid- ance.

OmniNWM: Omniscient Driving Navigation World Models Bevdiffuser: Plug-and-play diffusion model for bev denoising with ground-truth guid- ance

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Resolution: unresolved; no resolver link, observed 2026-08-04T08:57:17.228070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2a6a705c-183c-43b5-b516-28b6ee498393 · inbound

DVGT: Driving Visual Geometry Transformer cites this paper.

DVGT: Driving Visual Geometry Transformer OmniNWM: Omniscient Driving Navigation World Models

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Resolution: unresolved; no resolver link, observed 2026-08-03T15:27:19.679573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2d7894-dc37-42ba-967e-7ba1c8264602 · 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 OmniNWM: Omniscient Driving Navigation World Models

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Resolution: verified exact; arxiv_id, observed 2026-06-23T03:12:33.346294Z

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 4e543a94-6214-4c1e-a91e-db87170b33a3 · inbound

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving cites this paper.

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving OmniNWM: Omniscient Driving Navigation World Models

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Resolution: metadata mismatch; arxiv_id, observed 2026-06-23T03:12:33.346294Z

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 c9c97d38-b518-4371-abe4-8b5f863a0834 · inbound

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models OmniNWM: Omniscient Driving Navigation World Models

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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 e0b06fe6-d62a-4d63-9c4b-b312267be7cf · inbound

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models OmniNWM: Omniscient Driving Navigation World Models

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Resolution: unresolved; no resolver link, observed 2026-07-13T09:42:23.808691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78fa322-7626-4424-8bbf-2d7e06e82f1c · inbound

SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations cites this paper.

SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations OmniNWM: Omniscient Driving Navigation World Models

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Resolution: verified exact; arxiv_id, observed 2026-06-23T03:12:33.346294Z

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 763a8bf6-4459-434c-88d9-ca4f6f371dba · inbound

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

Learning Vision-Language-Action World Models for Autonomous Driving OmniNWM: Omniscient Driving Navigation World Models

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Resolution: verified exact; arxiv_id, observed 2026-06-23T03:12:33.346294Z

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 4f1d6be8-e7eb-4c6a-aa5d-2907f89ace15 · inbound

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework OmniNWM: Omniscient Driving Navigation World Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-23T03:12:33.346294Z

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 4a45cc3f-6bf9-4973-8a76-a7c8b58c294c · inbound

PanoWorld: Geometry-Consistent Panoramic Video World Modeling cites this paper.

PanoWorld: Geometry-Consistent Panoramic Video World Modeling OmniNWM: Omniscient Driving Navigation World Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-23T03:12:33.346294Z

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 53257cd8-5aaa-4605-83fe-0df675b2a3f6 · inbound

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends OmniNWM: Omniscient Driving Navigation World Models

Reference 216

Resolution: verified exact; local_arxiv, observed 2026-07-01T21:06:13.716760Z

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 e5c3924c-62ee-4d6f-b5e2-693db719cc3b · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models OmniNWM: Omniscient Driving Navigation World Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:58.402506Z

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 491d11f8-69e7-46b0-8bd8-0e8bd35af474 · inbound

Bridging 3D Gaussians and Semantic Occupancy for Comprehensive Open-Vocabulary Scene Understanding from Unposed Images cites this paper.

Bridging 3D Gaussians and Semantic Occupancy for Comprehensive Open-Vocabulary Scene Understanding from Unposed Images OmniNWM: Omniscient Driving Navigation World Models

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:58:42.418629Z

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 8a5da34c-e06f-4869-a833-bb6c1cbe67b3 · inbound

FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction cites this paper.

FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction OmniNWM: Omniscient Driving Navigation World Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T23:42:57.473601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b823e3-4feb-4f75-952c-313ce8b8b691 · inbound

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction cites this paper.

SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction OmniNWM: Omniscient Driving Navigation World Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-11T14:25:21.264423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1628af3-107a-4f24-b6c7-cba92d7196e8 · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation OmniNWM: Omniscient Driving Navigation World Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dba6ae1-1185-4bf8-ac26-fcd5e5e491a9 · inbound

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation cites this paper.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation OmniNWM: Omniscient Driving Navigation World Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.735903Z

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.