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Paper Citation Record · LEDGER

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 5 inbound Pith citation observations for arXiv:2506.13260.

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

pith.paper-citation-record.v1
2506.13260 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:32.920263Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:52.815836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:29:04.993194Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ef9243d-17ff-49c9-a1ba-2d2d2a528bc6 · outbound

This paper cites Uno: Unsupervised occupancy fields for perception and forecasting.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Uno: Unsupervised occupancy fields for perception and forecasting

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:35.527513Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:29.658172Z digest=sha256:f45d19e89e4f140ef3f67994ed09e1551f3daf2f51e80f5f78ea6755b050392e

Observation 1e80fe38-49f3-43f3-b335-d9376d8b6df4 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model nuscenes: A multimodal dataset for autonomous driving

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:29.799682Z digest=sha256:e3ea2e8be50e079c76b77b51cecf03a4070f2b147b42ad913c68d8d781c20a9b

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

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

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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source=pdf_text observed=2026-08-07T00:41:29.912088Z digest=sha256:f4b7fbb0aa14e58664541070232d1e07ee558d8c111a47f49602932da9ffbd08

Observation 23bd03a3-2306-4826-a5cf-8cce9975a87b · outbound

This paper cites Denoising diffusion probabilistic models.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Denoising diffusion probabilistic models

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:30.033977Z digest=sha256:63e5198b8d09b4034c942a2b627fb67d1b340b9eef926f35e3fc0da67011cb5f

Observation 3be2261a-62f1-43cc-8787-89e91c4ce275 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model GAIA-1: A Generative World Model for Autonomous Driving

Reference 6

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no resolver link, observed 2026-08-07T00:41:30.177692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:30.177692Z digest=sha256:89c5e6fd8192c0947a32a5fe135259713602b582ee393f13f63f8f52c4000ce2

Observation 5938915a-5176-40c5-8922-985cd69860db · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 7

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no resolver link, observed 2026-08-07T00:41:30.277622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:30.277622Z digest=sha256:e1f6da25a80e880b449ae20a7ab0b64e34d0c0dae7e11af2420d1f2b65e3b9df

Observation 40267931-cfdb-43d1-93fe-1fb6c9c34eff · outbound

This paper cites Occvar: Scalable 4d occupancy prediction via next-scale prediction.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Occvar: Scalable 4d occupancy prediction via next-scale prediction

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:35.393918Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:30.359584Z digest=sha256:24d997a6d1f4151cf6afbb323052098b95da1f6928c60a9e7f9a894b87471e10

Observation 9f2df0a0-a8fe-4f4f-8f2c-ec4ffdeb39ad · outbound

This paper cites Point cloud forecasting as a proxy for 4d occupancy forecasting.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Point cloud forecasting as a proxy for 4d occupancy forecasting

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:35.244590Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:30.492956Z digest=sha256:35be822063b56254d83b8d520c40f2bb0a21b5e2119bd5e7b9b96729ea1a2208

Observation 9036dc7e-ae23-4b54-a8be-395b0e94fbf2 · outbound

This paper cites UniScene: Unified Occupancy-centric Driving Scene Generation.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model UniScene: Unified Occupancy-centric Driving Scene Generation

Reference 11

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no resolver link, observed 2026-08-07T00:41:30.578596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:30.578596Z digest=sha256:9a9ac3dfd25aaade2c463cc8d06e735c15d2ad0b4df2f151af251720d13873d0

Observation ed1319a7-e84c-4160-ac10-4c62229408a8 · outbound

This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo

Reference 12

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raw_fallback, observed 2026-08-07T00:41:35.094727Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:30.655057Z digest=sha256:d119d79963be88be34e80aa9ae5fc9a7c3f24a36bf3ac2d68dea9383e3761eda

Observation b75c20ac-9734-4f78-8c5f-350876d716c1 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:30.764087Z digest=sha256:c361875c5f809b588d3c2aae85f45258facee76588862220116bdbbeebf127bd

Observation 6b32653c-63f8-448d-afea-eb52cc8b24a2 · outbound

This paper cites an unresolved cited work.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-07T00:41:34.923737Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:30.819940Z digest=sha256:413f63d96cd5182c2b8185aafc2b02e9bd36e6c52d9ed3695fa88566c1e85778

Observation d8523112-31a2-430d-ad35-c1ea6cc36bdc · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Lidar-based 4d occupancy completion and forecasting

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:34.780713Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:30.922759Z digest=sha256:1396d227a3407d0d27910d22ff22de1f026d3b0ec3fd518fff2a9f95411e21ce

Observation ff3d10ac-f712-4be0-baa1-0702b1aef34f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Swin transformer: Hierarchical vision transformer using shifted windows

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:34.631422Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:30.993218Z digest=sha256:8f023cc3a21a5cd9feafc5fc15bf1ba1530c0edd7fbbe623f075d5da14a4e348

Observation cb16cb00-b0ab-492d-b326-127ad2376b87 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:34.446495Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:31.089755Z digest=sha256:e27b0983f34da500efd42e9ca93a7ef4ef7f92139acd175636d0e5a4994f780c

Observation 0e88c693-6f6a-4b6a-b56e-0bfc6ebe90d6 · outbound

This paper cites Scalable diffusion models with transformers.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Scalable diffusion models with transformers

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:31.152713Z digest=sha256:4ce8cd8ea8e851a3344fb61510c4b77424c5a0fb8128dbf47b20984753915061

Observation 8388be47-9b32-4b88-bb36-0cc6f0b61f36 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model U-net: Convolutional networks for biomedical image segmentation

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:31.233467Z digest=sha256:a0c0cc1eb983cd49e197938820afc871c62bc5d5282a5996634342042b3d6a41

Observation b07042ec-7c42-4c52-8012-a7ada70821cb · outbound

This paper cites Con- volutional lstm network: A machine learning approach for precipitation nowcasting.Advances in neural information processing systems, 28, 2015.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Con- volutional lstm network: A machine learning approach for precipitation nowcasting.Advances in neural information processing systems, 28, 2015

Reference 20

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raw_fallback, observed 2026-08-07T00:41:34.293248Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:31.316384Z digest=sha256:dff0c52ca21ca35c2e687b1375ec6eadd62bc0596e73ffe82191975698c2933b

Observation ecd96ce3-4e5e-4422-81a7-8677e99dfbc8 · outbound

This paper cites EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving

Reference 21

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local_arxiv, observed 2026-08-07T00:41:33.342438Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:31.388456Z digest=sha256:3d1d839993c055123f4d8283aefe335fce42dda58d9dff99fc1861934a20626f

Observation b2edc815-eae4-4716-bfa9-565217c5ce1e · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Scalability in perception for autonomous driving: Waymo open dataset

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:31.431256Z digest=sha256:1f424832f1a6108b629d9f5f5792d22c4f46a8c34f55089417e29c430b05c03a

Observation a2902f26-c002-46bd-800e-b44d371a5e74 · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.Advances in Neural Information Processing Systems, 36:64318–64330, 2023.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.Advances in Neural Information Processing Systems, 36:64318–64330, 2023

Reference 23

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source=pdf_text observed=2026-08-07T00:41:31.502360Z digest=sha256:4b5ca45e540a6e8648199900481f1cef54ad98706616b615bbcc6a409d8aa038

Observation fcc4e28a-511b-4384-99fa-f7a9e89ab10b · outbound

This paper cites Neural discrete representation learning.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Neural discrete representation learning

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:34.160741Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:31.590895Z digest=sha256:792d3747c79605efea3787b584382667bb9a5409080e0f885a9e767a60c3255a

Observation 8f80907e-0fa0-4c16-9a83-abe0be750e65 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Drivedreamer: Towards real-world-drive world models for autonomous driving

Reference 25

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raw_fallback, observed 2026-08-07T00:41:34.003630Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:31.643933Z digest=sha256:b93d4b5b13a8de5f7db6c5cc1028befc71a2bea0ef72a9d480b17075939a74b7

Observation b24975eb-15f8-4db8-90fa-0107338ff240 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:31.747234Z digest=sha256:ad9edafb52a9cd64d5fad158e8a0572e73f4d3b951a92d6057905d758848748b

Observation 76d42f60-53b5-4829-af22-485d6a7f8f97 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Reference 27

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source=pdf_text observed=2026-08-07T00:41:31.824261Z digest=sha256:a9e6d61bf31d098f1ea5eeb789e6dc746def51775d837a0faae7469abc5a2d18

Observation 2299b58a-7fd4-494a-b66c-cca830d5e328 · outbound

This paper cites Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models

Reference 28

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no resolver link, observed 2026-08-07T00:41:31.920937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:31.920937Z digest=sha256:d7aa016358f3d323dc7f372906a10a35f439e253e02dfb6b2761a5cfb04f420b

Observation e324fb33-b147-4702-8af2-446469998f9f · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

Reference 29

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no resolver link, observed 2026-08-07T00:41:32.020698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.020698Z digest=sha256:dd7f026af7d7e0377abc99d2127fc8a85dae6d4a9f6fe90f3ab4ed7adee891dd

Observation 35dce14c-04aa-4d4e-affd-231a24ef1861 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model RenderWorld: World Model with Self-Supervised 3D Label

Reference 30

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no resolver link, observed 2026-08-07T00:41:32.077815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.077815Z digest=sha256:900aef95f74f77d5d0129e3530b20009cb19e904a7d1b1b98378b9b0db27141e

Observation 8084a072-e6cd-4c3c-8020-5b6e790b3ed7 · outbound

This paper cites Driving in the occupancy world: Vision-centric 4d occupancy forecasting and planning via world models for autonomous driving.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Driving in the occupancy world: Vision-centric 4d occupancy forecasting and planning via world models for autonomous driving

Reference 31

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no resolver link, observed 2026-08-07T00:41:32.218448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.218448Z digest=sha256:87ad703e6cc2e07e6ffce847ac29de5d770780d13772ed31090446fdb18ff5fe

Observation b09fa4af-e1ae-42bf-973b-f67b3cab838d · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Visual point cloud forecasting enables scalable autonomous driving

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:41:33.874937Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:32.274960Z digest=sha256:89ffccda32124ee0b85396b9400b361997be398e722d996e5feb6c076b5e150d

Observation 4bdaebea-710b-40e1-8aac-2a86e3bfb782 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Visual point cloud forecasting enables scalable autonomous driving

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T00:41:33.721994Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T00:41:32.389538Z digest=sha256:367bea6daed2e11c319ff65141d8561d0229f02e08fc7c74e21f0cf6a48bb148

Observation f5103b9b-e2c5-402c-91de-4cca20beb151 · outbound

This paper cites An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Reference 34

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no resolver link, observed 2026-08-07T00:41:32.473709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.473709Z digest=sha256:0443f0a2ec9abb9575ebf5f55c5562302bd05a1063290d61f937025377b0d5ac

Observation a7c31ae1-d053-4527-a444-2761f36aa56b · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Adding conditional control to text-to-image diffusion models

Reference 35

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no resolver link, observed 2026-08-07T00:41:32.564579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.564579Z digest=sha256:15c788a833ab3eb1ba8b0a383e44ff87f64e8e840570371ddecffbb66adfe677

Observation 2c4aa7fc-6db8-43f4-bf3f-f9eb089527c2 · outbound

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

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 36

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no resolver link, observed 2026-08-07T00:41:32.673853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.673853Z digest=sha256:4898ac71a55ad05c5b251f5af19fadddedc5826444e3625d43411637d66187e7

Observation e822020c-1ebd-4949-9f5e-dfde32127267 · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 37

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no resolver link, observed 2026-08-07T00:41:32.763719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.763719Z digest=sha256:9d2763ec5173194e86ad124e4eb07b302afda10b2c82fa1436f2dfed1368002b

Observation 2f97d3a9-b35f-46c5-a999-0250bac3de4c · outbound

This paper cites Lidardm: Generative lidar simulation in a generated world.arXiv preprint arXiv:2404.02903, 2024.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Lidardm: Generative lidar simulation in a generated world.arXiv preprint arXiv:2404.02903, 2024

Reference 38

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unresolved
no resolver link, observed 2026-08-07T00:41:32.847230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:32.847230Z digest=sha256:eed22ec63dd8ae7ae92117f081cd9d66505c07edcce2023303f1a4735fba0b85

Observation 4ecf20b1-8a5f-4fce-9f4b-bed09622016a · outbound

This paper cites For different size of world models, corresponding controlnet has half of the depth of the world model and uses the same parameters in each block.

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model For different size of world models, corresponding controlnet has half of the depth of the world model and uses the same parameters in each block

Reference 39

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malformed identifier
raw_fallback, observed 2026-08-07T00:41:33.573070Z

Source-reported events for the cited work

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

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Pith citing papers

Observation 3c96ebd1-398a-4f0f-bf22-22d0761a06c1 · inbound

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

A Survey of World Models for Autonomous Driving COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

Reference 177

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no resolver link, observed 2026-08-10T18:31:52.815836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:52.815836Z digest=sha256:c38844f09fdcc3a496f81fc4a9836dd2acd9502cef06be307b860254fd4b794d

Observation c1e4b33c-0f8b-4bc2-b534-8e7b828e8e02 · inbound

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

3D and 4D World Modeling: A Survey COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

Reference 204

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unresolved
no resolver link, observed 2026-08-05T06:04:36.170867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:04:36.170867Z digest=sha256:7240cbf4072e2740bbf12c10be9f0762b29b787df66f698085d67946557de94f

Observation 6e50bd6c-0505-4480-8137-bc9a2f7fbdce · inbound

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

A Comprehensive Survey on World Models for Embodied AI COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

Reference 213

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unresolved
no resolver link, observed 2026-08-04T09:12:54.258372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:54.258372Z digest=sha256:72d0565b1ced18f85590802bcf08dd3756b480b323abb5544dd40bb593146e7a

Observation dc24a7c7-da98-4547-ab2e-a43b9b5810c0 · inbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:29:04.995640Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-17T05:26:34.859975Z digest=sha256:b202f282efb5901044cdb0d7e1a7aff288074fedebc06bdf99a0b6ffd3723687

Observation ee12482f-2b22-4709-9e37-dc6bdc3156af · inbound

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

GEM: Generating LiDAR World Model via Deformable Mamba COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.317260Z

Source-reported events for the cited work

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

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