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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:42.754803Z

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

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T17:50:59.797593Z digest=sha256:03a66d778634455d4545dc6f60749c982aa6ab3fec56a0a0a936bf2533a0e821

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:13:42.754803Z digest=sha256:c5aea60ee8b07fb829f9bb4632c27237ee51278976745845f21824178b9b7cb1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:29.912088Z digest=sha256:cf294bcac12f29cf00bf1bbebc20cf718ecd166dc024881762155c5f6a2a11f9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:48.761264Z digest=sha256:4f837f677e1fb6f7a299211012eb7e469451a3f36608b5a36c2c97891102ea7c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:19:28.914725Z digest=sha256:51972b37713c736a650ab2fc6d87d8373f423154aca5c4a9d19670109f66ec15

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:09:19.089679Z digest=sha256:244c4bbec4a019aa42395020eca0ca3d0426a2368e9e69eafc8de8271d42e92a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:32:54.709837Z digest=sha256:a0ff38991964e684236dc19c11b84e50fde027e70c63129a7f123a92a7e5550e

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:50.127134Z digest=sha256:45ad0180ee519abfdc75309f49efb0d618c86467f2c09046d2789d09ca10208a

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.

source=pdf_text observed=2026-08-05T06:04:12.844748Z digest=sha256:3520709730273ed771a67bc9d6e0c208c5e74eb87a31c0266dc33f86be10f86a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:40.271035Z digest=sha256:488391662a641195bb440c77462e2e968cf8d13994ff899ec9b426b31f7bcf32

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T05:26:34.859975Z digest=sha256:2479fe67d2f3679fdbcfc6ecda20dbd8daafa4005ebaf3ed53da0d8c59be06b0

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T18:21:15.831853Z digest=sha256:f833fac9724c78c07caf669741defecddcadfbdba1e3cc23f44c0efa0d67b877

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T07:02:38.876518Z digest=sha256:74c816421b11e52fc436684cbbc8ee4209a0cdc9b9932d1095c03ac770b68207

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:6073fd59d14862a3de75b208cadca947e34366d21fad1d7a4f1a9a4dfde825e5

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T05:31:59.676725Z digest=sha256:d0e5e05778c8aed8a4ddfd35b24a9cb7d154a1f83144eefedf35b02b8530706c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:31:09.604703Z digest=sha256:44018879b23d9b1c69e09519d3f699abb59f5e0e7bd2fcbf81f4e9af88887a29

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T13:22:31.915829Z digest=sha256:c5c0c1c37617f716aae818823c11da6fd5c059f8d350355ee19f468d7e8997c2

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T21:15:12.465970Z digest=sha256:051f90d12f8594372f9318985ac385edcbf7731eff895f45bbce23ae209b4842

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T17:42:49.902997Z digest=sha256:0825c63cf472aaf7edbb5bca540906c3eb7d5a8282625642519bae579e3b448f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T18:06:04.101217Z digest=sha256:2b80f0da3023166eb0db6f167a340658ace92c0d5630a9062568d476b771b388

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T05:59:20.898830Z digest=sha256:344dd5c76926b8ccad14cd465f85441405bea00d79f7f75fa9a8b519b15ece43