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Paper Citation Record · LEDGER

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

As of 8 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 7 inbound Pith citation observations for arXiv:2505.22421.

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

pith.paper-citation-record.v1
2505.22421 v2

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:49.672035Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:04:07.240277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:38:00.711347Z

Reference resolution

91 of 91 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0bc5fa8-b5cc-4308-9135-c10b7a4c856d · outbound

This paper cites Act-bench: Towards action controllable world models for autonomous driving, 2024.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Act-bench: Towards action controllable world models for autonomous driving, 2024

Reference 1

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source=pdf_text observed=2026-08-07T13:13:40.913666Z digest=sha256:0c882b3924b1688578eecf412458bdd790a4158d435eee77922acf15c1df93c5

Observation 713b578d-4c1a-4376-9241-c8996f0f3c5b · outbound

This paper cites Videopainter: Any-length video inpainting and editing with plug-and-play context control, 2025.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Videopainter: Any-length video inpainting and editing with plug-and-play context control, 2025

Reference 2

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source=pdf_text observed=2026-08-07T13:13:41.258335Z digest=sha256:b7a315ead3ce7915ecee3e93996d240e0402488a0b6a4c8124ebbedf06328fa2

Observation 35f54321-9100-4419-8bde-24ea86a4925d · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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source=pdf_text observed=2026-08-07T13:13:41.554664Z digest=sha256:f5e528fc117d53188abc13c27f8e5f86b7672fbcd224c822f45dde634c4d37d6

Observation 27f7c131-b773-4b1d-928a-b670bf32f005 · outbound

This paper cites Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Reference 4

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source=pdf_text observed=2026-08-07T13:13:41.625065Z digest=sha256:e936ab8e0fdf6dd9b6d7f48823e982215aa1ce8ec50bfd0833d7c6229b8265db

Observation 25d171ce-2fc9-4669-8d13-47fd479435d0 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Align your latents: High-resolution video synthesis with latent diffusion models

Reference 5

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source=pdf_text observed=2026-08-07T13:13:41.746002Z digest=sha256:e2fdcb1c10f0338e5e89e39091de5719a3b8cee26226336656d36be25522f78d

Observation 83c65f8e-c93f-485f-b4ed-3c99636351de · outbound

This paper cites MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:41.819658Z digest=sha256:4560012ee8775f56cee43d18eb209f31b072322f1918d16ecf1baf9d38232094

Observation 80793543-857d-469e-b697-c2045f98a9aa · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yuxin Pan, Giancarlo Baldan, and Oscar Beijbom.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yuxin Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 7

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source=pdf_text observed=2026-08-07T13:13:41.940218Z digest=sha256:527f0ea1ef664e879f4355be22b930a9c750cd107bd54b11a7b8252432a07a14

Observation 950d3478-5ac3-41e3-b104-c3de6cbbc78a · outbound

This paper cites Training-free regional prompting for diffusion transformers, 2024.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Training-free regional prompting for diffusion transformers, 2024

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:42.008809Z digest=sha256:b4624c62545a1978f5ce3b0ce52ebc3a3e471a67210192b3cc09c32e8714a2a8

Observation b63fd5c3-3e46-4fe9-b13b-e1022d236dd3 · outbound

This paper cites Eva: An embodied world model for future video anticipation, 2024.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Eva: An embodied world model for future video anticipation, 2024

Reference 9

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source=pdf_text observed=2026-08-07T13:13:42.098586Z digest=sha256:69db3fd4e36a6c03350da7c86c98c945baa6fec0ca95c73f1cbb4146f93b2213

Observation 31d9f025-15dc-4cb6-a1c2-8a432b599be0 · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Structure and content-guided video synthesis with diffusion models

Reference 10

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source=pdf_text observed=2026-08-07T13:13:42.190278Z digest=sha256:75c2ec79170506070554e63e7dbc7b3c2f186e6f6c178c339663449e1dedc420

Observation a5ab02e5-56cf-4e31-b610-df67dab9afbc · outbound

This paper cites PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

Reference 11

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source=pdf_text observed=2026-08-07T13:13:42.294484Z digest=sha256:56d4a92da6e9092eb2b2dbb382a07d49f048d49003af177b5075aeefaf170d87

Observation bf0f8bb4-150a-425d-92a7-3855cdcb3a0a · outbound

This paper cites CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving

Reference 12

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source=pdf_text observed=2026-08-07T13:13:42.402880Z digest=sha256:6a506506f2a914ae4e3c9984a1cb92a3f6502950e9054f02e8d0145c1b64cf63

Observation cbc9860f-7d04-45e8-a2d6-0e374d660a62 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 13

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source=pdf_text observed=2026-08-07T13:13:42.524865Z digest=sha256:cd8603074d5789ec74acc742047ff00cf37547ab7e6acfa6d90971f5bbc28bad

Observation 724c8229-94bd-46f5-92f6-bc7a164c2fdd · outbound

This paper cites Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies

Reference 14

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source=pdf_text observed=2026-08-07T13:13:42.650462Z digest=sha256:390173724bb9f0e06d1d550b4e148dd20ec8a918dbd3e0bc3e494e2d6ac4a2b6

Observation f49e13b1-88ab-43ef-a031-117538ab56b0 · outbound

This paper cites DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 15

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source=pdf_text observed=2026-08-07T13:13:42.754803Z digest=sha256:67f302de812915cf5bab71b34dd6b729c5a1388bcc975ec20dc6beeebf9d745e

Observation ca103b43-a6b9-4258-9347-870578b953e2 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 16

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source=pdf_text observed=2026-08-07T13:13:42.790881Z digest=sha256:c65121eb6829e5e7207f5e252f15adb1f114f1bfad3c4c79a20c480bf333341d

Observation 73b13987-a2f9-4245-8b73-70e113a9e379 · outbound

This paper cites Vdt-auto: End-to-end autonomous driving with vlm-guided diffusion transformers, 2025.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Vdt-auto: End-to-end autonomous driving with vlm-guided diffusion transformers, 2025

Reference 17

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source=pdf_text observed=2026-08-07T13:13:42.808416Z digest=sha256:78cd8323d0cfd120fa4e664e659c4c5b30f8cc7131bc64711a5b76d10fa424bf

Observation e64e1309-a665-4a08-8dff-aa00159e5cea · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control

Reference 18

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source=pdf_text observed=2026-08-07T13:13:42.902690Z digest=sha256:6e76e6cb3b7e4105eed7b53ddfccf319c086b3c84e34889e98c09505759c214e

Observation 123579cb-b0cc-4503-9024-7961a450ffa9 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 19

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source=pdf_text observed=2026-08-07T13:13:42.974521Z digest=sha256:0b08b8d50ef74a406dfe46540facb408843fcfd46646b396ba3c88c29a2188b1

Observation 698aa467-7460-4ff7-afdb-00d87b3bcab8 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control GANs trained by a two time-scale update rule converge to a local Nash equilibrium

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:43.136993Z digest=sha256:1ee323b93dfd1df551262d343966d60e412726dc94d24ffd04743b58b19d0039

Observation e05d0943-2d38-4c3a-8f0a-d9fdf7a6db69 · outbound

This paper cites Video Diffusion Models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Video Diffusion Models

Reference 21

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source=pdf_text observed=2026-08-07T13:13:43.141793Z digest=sha256:91036980a74bdb72cc10f84e167ea00f46352f7581af3c98073f4a1c97fc7c1a

Observation 6a55a477-2ff6-4ebc-94a9-856b4d4b336e · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 22

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source=pdf_text observed=2026-08-07T13:13:43.145764Z digest=sha256:c6f0f91a1e98c624ccd3e0874f761316487fe6f87e27ae8c8b3c22ed76814264

Observation c9920e67-f7d3-471f-9254-ef701d1d152d · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control GAIA-1: A Generative World Model for Autonomous Driving

Reference 24

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source=pdf_text observed=2026-08-07T13:13:43.208914Z digest=sha256:02e40a608749d59fff4158eec93127044ed50e7dd6c52f781c6b28df5d94f7a5

Observation b78d4b06-e9f4-4de9-acbc-71041aa5bb28 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT

Reference 25

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source=pdf_text observed=2026-08-07T13:13:43.254703Z digest=sha256:135a9f319a612a974787b4d1b00c4375e3bfb1d4ab06139476ddcd5799852dec

Observation 21461dc1-6765-448e-9aa2-2dad0ea4e7f2 · outbound

This paper cites VAD: Vectorized Scene Representation for Efficient Autonomous Driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 26

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source=pdf_text observed=2026-08-07T13:13:43.311055Z digest=sha256:e71c46964e38a6f913ddd049a2864f47c70a97d93cf0487467b3dd0561028fcc

Observation 1ee56429-6772-4634-8de5-d4629d05a5d7 · outbound

This paper cites Neural lidar fields for novel view synthesis.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Neural lidar fields for novel view synthesis

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:43.393571Z digest=sha256:25ff65ff7b33e734949db6296f985b405d55a9565d22d89b0d0c6f44b19dee27

Observation 645ed056-20d7-43d1-bb5b-8f9b0005a2ad · outbound

This paper cites Neural volumetric world models for autonomous driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Neural volumetric world models for autonomous driving

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:43.470800Z digest=sha256:d7c69c0f1ae68e7dd737c8a66bc762f0527fb327f98e41be1e77334ed95d8b2d

Observation 33f35aa0-3f72-4306-8f5e-c0d6998e83c0 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Perceptual losses for real-time style transfer and super-resolution

Reference 29

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raw_fallback, observed 2026-08-07T13:13:55.220819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:43.568051Z digest=sha256:a33afa0b62e03fe32406889c3b11cb1b32c0be4d6cdb4880c3f1bdd43b16beca

Observation d6166ec5-bbb1-413e-8bb1-56b80a178b29 · outbound

This paper cites Differentiable raycasting for self-supervised occupancy forecasting.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Differentiable raycasting for self-supervised occupancy forecasting

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:43.654736Z digest=sha256:e6f2d8cc79c0cdb23b64dd701de56a0969abe40db2c5938ce3fd1e93a27a5443

Observation 7ca5fdac-cba5-4d57-98cf-9cdfeef35d4a · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DriveGAN: Towards a Controllable High-Quality Neural Simulation

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:43.754237Z digest=sha256:5a1b726848feb0c87377d15a951ecab37f08cbccc8c965386d37b4677b0f84e1

Observation bf7b2ee3-a23d-47ba-8b61-47b265247ebd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Adam: A Method for Stochastic Optimization

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:43.859998Z digest=sha256:003af920c42749596c5bfea0915c1e417bcb214ccd271993f2b75fe448f91e34

Observation 0325e66d-2ecf-4bb9-babb-5d6dbbd78ea6 · outbound

This paper cites an unresolved cited work.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-07T13:13:43.962272Z digest=sha256:d4e7ccfc48be288053071b7e7ea208de97fd3eacbf3896dbb5488f18454ca622

Observation c512e6c4-dd51-4d12-9df4-ecd17a2a4821 · outbound

This paper cites DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:44.086451Z digest=sha256:4cdd207b81577573160c4f9c24ea8b9d0a528317ef79f4f33c0364f11b5f1e00

Observation 9761e290-c0ed-4014-a712-35023f2d7e18 · outbound

This paper cites Enhancing End-to-End Autonomous Driving with Latent World Model.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Enhancing End-to-End Autonomous Driving with Latent World Model

Reference 35

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source=pdf_text observed=2026-08-07T13:13:44.204956Z digest=sha256:b9f8edf142bf6148e506f21aed906057881b9dea6449bda494daba92177e8e97

Observation c5b9be16-882f-43ac-9dd1-a77d8a804b07 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Gligen: Open-set grounded text-to-image generation

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T13:13:54.680018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:44.317644Z digest=sha256:5ae70f155f87be5596802b867633e0d83bbdf5d9c6332358050e365d37fc2b8e

Observation f1224c39-a01f-4a44-840e-55659df5d9aa · outbound

This paper cites Lidar-based 4d occupancy completion and forecasting.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Lidar-based 4d occupancy completion and forecasting

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:54.434040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:44.445024Z digest=sha256:56d635c228f963d1e28e046791208cb971ca6243f975ee8696e9f21f1922343f

Observation 8afdbfbe-dc29-43fc-a263-911ba84b9c4b · outbound

This paper cites Monet: Motion-based point cloud prediction network.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Monet: Motion-based point cloud prediction network

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:54.259941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:44.496772Z digest=sha256:6be08b085660f377252a71e9f6086c115d616f623ad9494f09573ad196285977

Observation 4d0b93e9-98ea-4070-bd0c-66e25a896e56 · outbound

This paper cites Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:54.032026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:44.613769Z digest=sha256:6c43e6b2e9b888ee879cffa18ee85cbe8de3be7832bf8e9bf83941cc374bb4c4

Observation 34795f16-6f1c-4db0-864e-f1372fafaa06 · outbound

This paper cites Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:44.691547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:44.691547Z digest=sha256:fe2af30164b890338cc01a6f194929c142f025770e510c950bace3266afb3613

Observation b4a011fa-542e-4277-b71a-a0ed8358ac5f · outbound

This paper cites Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:53.912429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:44.772708Z digest=sha256:539e32225fb163412540461f004fe6f29ccf5d64ee7c8604dcf04238792454cd

Observation 916f2587-9f76-408f-b845-245901fe6401 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DreamDrive: Generative 4D Scene Modeling from Street View Images

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:44.861132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:44.861132Z digest=sha256:f2672951feac6978ff5d2ac6d2ffe254aab1ca8c49b3413e26b2ed33a9b10144

Observation f240d634-7814-41fd-9511-da078b1fdfca · outbound

This paper cites Latent-nerf for shape- guided generation of 3d shapes and textures.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Latent-nerf for shape- guided generation of 3d shapes and textures

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:53.744860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:44.982057Z digest=sha256:eaa4ea175cb6fd207003e9e3f6a65d66f364df2f51be3d3d828c1c3abd6d48ce

Observation 1d51c5dc-45b4-40c1-aa81-7da97d4b63e3 · outbound

This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:53.560150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:45.056912Z digest=sha256:6bc482a7310314bdfbb308ec108c3a1f61a65c5f588362e87e06115d76cbe8eb

Observation d98778b4-3a9d-4eea-8a9a-56cf71b2a781 · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.995800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:45.167554Z digest=sha256:9b63bcb4ee5b984f08fd041ceec95e51a6d9f8719fb420bed80d0ba8d775f4ed

Observation c69e78cb-4eb5-4340-bf84-e2e852c9c3b0 · outbound

This paper cites Multidiff: Consistent novel view synthesis from a single image.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Multidiff: Consistent novel view synthesis from a single image

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.778628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:45.267763Z digest=sha256:0fdbc1199c59b3371e260c5096b03a361ade0157b7bf5ccd408f6810b96e9a11

Observation 2eb62395-784b-435f-9e59-877063541621 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:45.381794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:45.381794Z digest=sha256:d48f1c37c6acdaf6d98dfcb44381e2775564426bb4c58725a202d6b69db8884f

Observation a448bee4-170b-44ee-938c-3cd2dc30a296 · outbound

This paper cites MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:45.495742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:45.495742Z digest=sha256:6f8dc0c642ce17f163038eb0dc66ffd51c7ae877afb9df8c7e9b77c38f1aa868

Observation d41bd753-5708-47cc-9484-d953bcce40f7 · outbound

This paper cites VASE: Object-Centric Appearance and Shape Manipulation of Real Videos.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control VASE: Object-Centric Appearance and Shape Manipulation of Real Videos

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:45.595809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:45.595809Z digest=sha256:0867225e3600f6733220dcc4a7129a302d9cd4c638c28a78770e83a0b0ae5a92

Observation 7019197f-7021-44fe-af2f-a0c6cfa73017 · outbound

This paper cites Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:45.731296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:45.731296Z digest=sha256:626919bc887eefe7f236346a1337cff0789cd3ebda5d216ccb4a7ac8172ee7e2

Observation 70ba3438-6187-4fec-99af-36e206edbd3d · outbound

This paper cites DUSt3R: Geometric 3D Vision Made Easy.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DUSt3R: Geometric 3D Vision Made Easy

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:45.787576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:45.787576Z digest=sha256:e0977bd715ed4438ae871ba2fcc8185e74aeb069eba3c9d6e54847640f431f80

Observation a015b4a9-ecd5-45b7-b629-de9303fe99b0 · outbound

This paper cites Gaia-2: A controllable multi-view generative world model for autonomous driving, 2025.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Gaia-2: A controllable multi-view generative world model for autonomous driving, 2025

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:45.868175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:45.868175Z digest=sha256:c4e2de6fc6d0b03046c28d0e33bc769a7769d5a23b374a4e7bca91f64af4163e

Observation 934bd532-3e88-4f9b-8f6e-772acb246729 · outbound

This paper cites Denoising diffusion implicit models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Denoising diffusion implicit models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.688388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:46.000008Z digest=sha256:80ef200d97954df25497c24ccdfe5bfbc679ecd1168c008c479e443528f147b6

Observation a80ce3f2-65b4-4f9d-a10d-4fc07bddd1ae · outbound

This paper cites Probing Multimodal LLMs as World Models for Driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Probing Multimodal LLMs as World Models for Driving

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:46.105756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:46.105756Z digest=sha256:feaa4679b6ab8c814b7ffb4ed918fa2063094626e53a5e1b16f6882420e9d12e

Observation ce982df6-ed47-4644-8fe2-16337b792e77 · outbound

This paper cites Street-view image generation from a bird’s-eye view layout.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Street-view image generation from a bird’s-eye view layout

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.548336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:46.187310Z digest=sha256:034b9160775e396c79e8f28ba8a71dfec199fae74ee82bebc05c24f9cce92121

Observation 850655aa-042f-4c58-a56a-aba18239ea88 · outbound

This paper cites Drivevlm: The convergence of autonomous driving and large vision-language models, 2024.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Drivevlm: The convergence of autonomous driving and large vision-language models, 2024

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:46.326118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:46.326118Z digest=sha256:988430573eb18c64cddc3efbc60fef3161c2bc920bb1cfa44bded893c14dc523

Observation ca1b62be-8b4c-4e48-a3d9-a5cf30e92ade · outbound

This paper cites Towards accurate generative models of video: A new metric & challenges.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Towards accurate generative models of video: A new metric & challenges

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.387184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:46.485239Z digest=sha256:2c84aaed69aa29aec62a64202e28d89995728802581f9e371144de0c40af18d9

Observation dd564f8f-aa53-4593-b058-180cad7b3bf4 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control ModelScope Text-to-Video Technical Report

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:46.614652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:46.614652Z digest=sha256:f13c43d78952cde62aa94003eef202f05862995586051889c8f49709d01004ee

Observation ef2eff61-da35-43ac-b709-2a85be43c777 · outbound

This paper cites OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:46.690220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:46.690220Z digest=sha256:60289b90e2350d2a1689cd42c5f8fccf99eff26e7a6ebe9d276a0eab0bb96e95

Observation f3d522f5-4492-484b-9c52-de84f2423c85 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Drivedreamer: Towards real-world-driven world models for autonomous driving

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.215253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:46.750825Z digest=sha256:7bb0d7cf086f7bd952b3a12d227d09a80bb29af35d65e8e50ba770b671e38c67

Observation 070a908b-344a-46e1-9682-121b51bcfe98 · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:46.886225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:46.886225Z digest=sha256:254e20b896c7e0d86f9573fcf4a9a2d7bfcd874c2869b0270f9fff5712066c5d

Observation 85b4494e-96cf-411c-a40d-aec887d2c06c · outbound

This paper cites DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.026476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.026476Z digest=sha256:374b67856e86ac7da6e56fa5923f59afbc82bfb9e5f4d373c1e26477a332bb99

Observation 082ebf1f-8919-4757-80cf-b5b43bd7788e · outbound

This paper cites Bovik, Hamid R.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Bovik, Hamid R

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:52.052564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:47.127590Z digest=sha256:df2b3e5eb8c71dd1c5ae9432bdbd2b14b2398cdee551c9daa17b1e48b8f5ccfd

Observation 3ad4b8f3-b9ab-48cf-b7b5-7e5b51db22c4 · outbound

This paper cites MotionCtrl: A Unified and Flexible Motion Controller for Video Generation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control MotionCtrl: A Unified and Flexible Motion Controller for Video Generation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.182163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.182163Z digest=sha256:de6f2d53d5202323e345fe763e6c35fe459a138f903854acd90d6d86b03af0c0

Observation 006ca96d-6c9b-4f8b-a458-ec59649705b6 · outbound

This paper cites OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.323489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.323489Z digest=sha256:7b791b4ca69daf56af6f4b3f5cf3deaf735f1bc149c417118bd2f5e0fb8a574f

Observation b22d3e96-e7a0-4ea0-82e6-3706fc90411c · outbound

This paper cites Fast point cloud generation with straight flows.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Fast point cloud generation with straight flows

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:51.867955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:47.439685Z digest=sha256:6706099f337e81af775a4ff2cbec01e8f952a161b18c77d830125a306e4e2ee4

Observation 163d9509-e8e5-420c-bc2a-9421b466c7ad · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.504190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.504190Z digest=sha256:a37dfb943fd16d4ee08ae03bae37546dfe88a4a4f69f5e76f33f897a8ff1302a

Observation 15a84e0b-054d-4ff9-8548-74b05a9ef2e4 · outbound

This paper cites ToonCrafter: Generative Cartoon Interpolation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control ToonCrafter: Generative Cartoon Interpolation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.582261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.582261Z digest=sha256:704499fd7ad024e9cb074cff51b5378ac99274e1549471a13e5125348c30deae

Observation e17d82ac-1cfc-4c33-9659-a35e3a9f0247 · outbound

This paper cites Make-your-video: Customized video generation using textual and structural guidance.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Make-your-video: Customized video generation using textual and structural guidance

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:51.689771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:47.674826Z digest=sha256:9625545f80601299dc10c9d1a8ca48739d5eda291e9826ddcfa1889b484fff09

Observation d7807148-38fa-4e98-a920-20fcc5d98908 · outbound

This paper cites DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.828734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.828734Z digest=sha256:57425e61e17f3faa06d4e5fbf83210843491bb96c10dabfd60bfbf3fb3c7179f

Observation 7bf63a6b-efa8-4abe-ab16-63984b5bc252 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.928762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.928762Z digest=sha256:5463f22522d17c777dd332da0814add486fc40b198661aa5b0720e8ca40a67cd

Observation 5833e7f1-71f1-4fb4-99b4-410f9db51ac8 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T13:13:47.961520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:47.961520Z digest=sha256:42789c54570b806cf1fecdaedd678cba0e0d3d8b34f726d40d45a4378c3b040f

Observation b8f40c52-e63f-4e7f-aa1c-86071f6891c3 · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 73

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source=pdf_text observed=2026-08-07T13:13:48.056934Z digest=sha256:c19fe5c0bf0f2a361725dcbe73086b11402296e566fd26abcd69c41e02348a61

Observation b4366469-57ce-43cd-ab3c-ccbc6dff6753 · outbound

This paper cites RenderWorld: World Model with Self-Supervised 3D Label.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control RenderWorld: World Model with Self-Supervised 3D Label

Reference 74

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no resolver link, observed 2026-08-07T13:13:48.094190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.094190Z digest=sha256:2750e4b6218657401f002741a5faebd81918b6d807eb59ac5b109027af77af1d

Observation 9c6e7c54-6ede-46e1-9535-60380013544a · outbound

This paper cites Generalized Predictive Model for Autonomous Driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Generalized Predictive Model for Autonomous Driving

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-07T13:13:51.514238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:48.137134Z digest=sha256:0208b9d4a7eccf8f0cb2ac9f747037c967db659aaca3fd205bdcd0639c4ccaa1

Observation cbcbf7e7-7c6e-4bcb-b9af-4198976ef196 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Reference 76

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no resolver link, observed 2026-08-07T13:13:48.204636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.204636Z digest=sha256:ba836a69e44888c327624083748b4bdb475439e81b02dc13cb49a829fb8c679b

Observation 879ef3eb-34ae-42bc-a2a1-b60b09918370 · outbound

This paper cites Visual point cloud forecasting enables scalable autonomous driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Visual point cloud forecasting enables scalable autonomous driving

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-07T13:13:51.351402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:48.301366Z digest=sha256:2f41b431b9bb6b9f6346e26106aa92bbc9cf7680e649d76e5c7a2ef1faa81265

Observation cc6121cb-2ac6-47ed-af5c-33e9f52a01c3 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 78

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no resolver link, observed 2026-08-07T13:13:48.400467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.400467Z digest=sha256:dc9ebba1e5f4946153b2fcdf625eccc4abd3b895d7f9e711ccc572d0b45736e2

Observation 2fdee80e-e591-4545-8b0c-e498fe7e8cf8 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 79

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no resolver link, observed 2026-08-07T13:13:48.499494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.499494Z digest=sha256:8ebb5f34e596035c46e71a64fb7b2f9b7b47f94bddda3f84b74d1ebbb61a005e

Observation e410f5d1-cfd0-4d74-942c-ad71c3a6a37c · outbound

This paper cites Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-07T13:13:51.189898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:48.569062Z digest=sha256:f2ea81d70dc03f074b378dac9fec619388e052073bac81e50b4c10d3af52fc89

Observation dcd6aa33-8309-4280-bfca-cd6bf7b8f173 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 81

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no resolver link, observed 2026-08-07T13:13:48.641172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.641172Z digest=sha256:9e2a6e3ee752ffa2a36292366766ef2f510f38e5a16867e87b11de085cf350d9

Observation 9240be9e-2770-451d-bfa3-23fd91829237 · outbound

This paper cites Copilot4d: Learning unsupervised world models for autonomous driving via discrete diffusion.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Copilot4d: Learning unsupervised world models for autonomous driving via discrete diffusion

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-07T13:13:51.014910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:48.714373Z digest=sha256:b431e1db5dfca6506862e4e9bf048a28f0b1beca30d6a84c5337f8fcd5a8199d

Observation d02f5f78-8e61-4640-8589-e4b2ca8f8006 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Adding conditional control to text-to-image diffusion models

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:50.912662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:48.835014Z digest=sha256:cc44dccfd813554c55b83f92399346db374fa63d9eb8f9cab128584f8cebd3da

Observation ae97678e-55ae-45b0-a7d5-541ba51c9271 · outbound

This paper cites BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents

Reference 84

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no resolver link, observed 2026-08-07T13:13:48.940769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:48.940769Z digest=sha256:d4aca34e3e57ce33f5fad6962a84f26063de9acd82501b547599b89e2a79708b

Observation 8932526d-abc7-4aee-914e-3f08321bbb4d · outbound

This paper cites DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 85

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no resolver link, observed 2026-08-07T13:13:49.020295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.020295Z digest=sha256:b932b92c1c5dc1947b3caebf1b998e1780b54b83eab3c5f78bf171f557409942

Observation c169dc51-180e-470a-aa21-97828b08e231 · outbound

This paper cites DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 86

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no resolver link, observed 2026-08-07T13:13:49.159653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.159653Z digest=sha256:aa649ed865bf950d996885911fb7dad67fdf016fd8dfd35bac50a70808c0b22f

Observation 0fe889b9-22af-4619-b3da-d7ed0c74b6f6 · outbound

This paper cites Sce2drivex: A generalized mllm framework for scene-to-drive learning, 2025.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Sce2drivex: A generalized mllm framework for scene-to-drive learning, 2025

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:50.725235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:49.253623Z digest=sha256:0a049d7cb2391d29d95541de674e167fae9588b46a5cf526ea14ca752d87d99d

Observation b84b8d5e-5483-4afa-8ebe-b2eed8c85fad · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:13:50.595245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:49.352347Z digest=sha256:97fc8bec889ec5dcb2792c8f38957bb01e3ddcc6d81659c2b10c55e40caba58f

Observation 904c150a-8765-4f0e-a023-674d4a876fa3 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 89

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no resolver link, observed 2026-08-07T13:13:49.436064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.436064Z digest=sha256:c5fe8b1d301c8f3f3fe73d72626f350d6a0b28fde9c9df07a552930ac11eac39

Observation 8eec357c-851c-4908-9f1a-5dab9fae46b8 · outbound

This paper cites an unresolved cited work.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control Unresolved cited work

Reference 90

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:13:49.541452Z digest=sha256:132c1b060e4b0454b4424461294ca15ebd2d496f5482a33cd533824d577d4884

Observation 9413bceb-eaa2-4e4d-a3d5-6167653846f0 · outbound

This paper cites SimGen: Simulator-conditioned Driving Scene Generation.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control SimGen: Simulator-conditioned Driving Scene Generation

Reference 91

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no resolver link, observed 2026-08-07T13:13:49.608108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:49.608108Z digest=sha256:d9a6f92851636ff658c7c1191b2f66497ff991c3ffb1ada73e7225ff40375831

Observation 49956bc2-ee9b-4066-ad8f-255aa10fab66 · outbound

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction

Reference 92

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no resolver link, observed 2026-08-07T13:13:49.672035Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:13:49.672035Z digest=sha256:067007c2b111dfa8414192535fe7eca6d0507fc4e43c9959853068d41373b283

Pith citing papers

Observation aa93f4dc-9fcd-45e8-8914-ef7d6ed98b99 · inbound

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

3D and 4D World Modeling: A Survey GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 31

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unresolved
no resolver link, observed 2026-08-05T06:04:07.240277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:04:07.240277Z digest=sha256:0e853b034fed6210a1752f24704c6362ae337b3ae5ef7e156fca75a391fb566b

Observation efba65c3-7dc0-41a8-80d6-932e93e59fb1 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 170

Resolution
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no resolver link, observed 2026-08-04T09:12:49.765084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:49.765084Z digest=sha256:cfee9068b37ebe8b4aebadccf4895a38a5da464ec85f162a59ecd2f238234f5f

Observation f24f76d6-01cc-4a2a-b400-f2f52840b01b · inbound

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World cites this paper.

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 14

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no resolver link, observed 2026-08-03T17:02:31.592390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:02:31.592390Z digest=sha256:0c0fb3ec78ac51575a5a72c0c86ca45cc60fe6792e7659ea1ecd770efb9c52f1

Observation 2e3e13ad-17b4-4a0a-96b3-ca03533bdd9e · inbound

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G cites this paper.

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:54.605041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:28:45.511385Z digest=sha256:d02145a470f49a80df16cf121be8a622bf8985cfdb33583def35fdcc4401c69b

Observation 728061d8-87fa-40c3-8908-065ebb958c73 · inbound

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

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:26:27.496884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:23:22.058330Z digest=sha256:b5fe65de12d61765440e5bfc688bd8283dcd9a68dafbc5c34a3f7a9c5382070e

Observation fc08ea91-6e13-4f3c-809b-941d78ad27c0 · inbound

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving cites this paper.

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:28.786361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:48:36.717026Z digest=sha256:710799dd570971cc7a997b25a0de1c502d2498c5afd4dd29e6beade912d0cbf2

Observation 6492de90-8501-47a9-9efe-14758953505a · inbound

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving cites this paper.

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:38:00.713564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:36:52.396245Z digest=sha256:c3d7e43f83ee2e2dd43f1de09f2d01f28e0c82e9b6e299a7bafbe3c90bd3307a