Paper Citation Record · LEDGER

DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2410.10429.

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

pith.paper-citation-record.v1
2410.10429 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:25.692226Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:29.474307Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc168408-4080-4f7f-8700-8b47f854889c · inbound

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models cites this paper.

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:58:38.233805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c91435-3da0-44cf-a9d5-9e1e07bf8a57 · inbound

Compositional Generative Model of Unbounded 4D Cities cites this paper.

Compositional Generative Model of Unbounded 4D Cities DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T20:17:26.370046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b0e309-5190-4db8-9469-443617c23cf8 · inbound

A Survey of World Models for Autonomous Driving cites this paper.

A Survey of World Models for Autonomous Driving DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:52.396350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e4a0f57-57be-4ca4-8ada-58d4247dab46 · inbound

HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation cites this paper.

HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:58:25.451894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b125c01-8d02-4d49-a876-30b171bb7c18 · inbound

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment cites this paper.

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:54.724798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c292dd5-dc3a-479b-9e32-bd51206cdc9f · inbound

PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth cites this paper.

PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:25.692226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4dee12-040b-43ad-a2a6-d31cdc73997d · inbound

Occupancy World Model for Robots cites this paper.

Occupancy World Model for Robots DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:37:30.352995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:42.754803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5026a570-a1fa-4589-98e4-01b1c8fd1085 · inbound

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model cites this paper.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:29.912088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d2260a1-6b29-479b-a684-08871cc56c55 · inbound

Epona: Autoregressive Diffusion World Model for Autonomous Driving cites this paper.

Epona: Autoregressive Diffusion World Model for Autonomous Driving DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:48.761264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9a3492-fd7b-4a7f-a38c-7bb133eceb70 · inbound

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model cites this paper.

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:28.914725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d03620-ebd1-4159-ac54-d37d909ee7d4 · inbound

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 297

Resolution: unresolved; no resolver link, observed 2026-08-06T21:09:19.089679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e61a31-cdb8-44f3-9958-9a1053b31b4c · inbound

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization cites this paper.

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:54.709837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69b499b6-93b8-40fa-9686-373f74471843 · inbound

$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting cites this paper.

$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:50.127134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a874407-46ff-4eea-a746-df7bccddb128 · inbound

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

3D and 4D World Modeling: A Survey DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T06:04:12.844748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d83273-0ed2-49ce-85ed-275b34313bcd · inbound

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

A Comprehensive Survey on World Models for Embodied AI DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:40.271035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11d51470-4ba8-4605-9fdf-a835fcfb213c · inbound

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model cites this paper.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.951833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c465e81-810c-4899-986d-5e4120239c27 · inbound

Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model cites this paper.

Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:24:18.266073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63bd158b-f5bb-48b6-b17d-6ba4a5e6ace1 · inbound

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion cites this paper.

Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:07:29.793888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81de777f-6400-4b98-a7de-f3cb67211095 · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:02.669057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea56042e-b604-4f3b-b594-558797298bd8 · inbound

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation cites this paper.

HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:36:30.062034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b09dd0b6-02ed-4288-9930-2346d706718b · inbound

GEM: Generating LiDAR World Model via Deformable Mamba cites this paper.

GEM: Generating LiDAR World Model via Deformable Mamba DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.329343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation edaa927a-76d1-4f35-805f-dcde23ce8ea2 · inbound

GEM: Gaussian Evolution Model for Occupancy Forecasting and Motion Planning cites this paper.

GEM: Gaussian Evolution Model for Occupancy Forecasting and Motion Planning DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:23:18.379452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cf7e19e-c18e-4d58-a096-06b4910af891 · inbound

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond cites this paper.

AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:04:00.910208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6dfff39-892b-46c2-a6a9-223c2a24e304 · inbound

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving cites this paper.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.765979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df861c6f-8cef-4160-9fca-25fe3fac6d72 · inbound

HilDA: Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training cites this paper.

HilDA: Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:29:29.477514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec0c1f05-2a6a-4602-96a2-28baf1734c59 · inbound

OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model cites this paper.

OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:04:21.630838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.