Paper Citation Record · LEDGER

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

As of 13 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 6 inbound Pith citation observations for arXiv:2412.13772.

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

pith.paper-citation-record.v1
2412.13772 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:51:18.496548Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:53.005843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:29:04.945286Z

Reference resolution

51 of 51 outbound references displayed

verified exact4
verified fuzzy16
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d3ba1c4-8410-4291-91cd-2f81dfddad53 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Uno: Unsupervised occupancy fields for perception and forecasting

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.381142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8d576cc-537d-42cf-89f4-49bde0ab1982 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.262364Z

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Observation 33ed1cc8-30ef-4311-a610-8584dda294ad · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training nuscenes: A multi- modal dataset for autonomous driving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.267725Z

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Observation f826daca-0dd9-4208-90a7-e39e07014ad4 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Monoscene: Monoc- ular 3d semantic scene completion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.357017Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96977d52-df54-47fc-bb46-d7f5d7cc543d · outbound

This paper cites Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Openscene: The largest up-to- date 3d occupancy prediction benchmark in autonomous driving

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.342637Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b08b4cf5-7faa-4e85-88d4-198353d881ba · outbound

This paper cites Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:51:19.091613Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation adac6755-554a-4fa8-b6fa-face7d50ad04 · outbound

This paper cites A Simple Framework for 3D Occupancy Estimation in Autonomous Driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training A Simple Framework for 3D Occupancy Estimation in Autonomous Driving

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.288879Z

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Observation d8dd9fe5-97c2-46d3-ac90-92b3419997db · outbound

This paper cites World models for autonomous driving: An initial survey.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training World models for autonomous driving: An initial survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.328069Z

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Observation b37f4ad1-abf0-465d-bc95-e2ecf7ae8d5e · outbound

This paper cites World Models.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training World Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.298185Z

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Observation eb91ee9b-a2c0-4536-92b9-8ef8855a5011 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Dream to Control: Learning Behaviors by Latent Imagination

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.303263Z

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Observation dcf5136d-d56b-4f1c-9caf-179c451388a8 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training GAIA-1: A Generative World Model for Autonomous Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.308226Z

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Observation e96c34fa-b7ee-494e-be97-28c48646da45 · outbound

This paper cites Safe local motion planning with self- supervised freespace forecasting.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Safe local motion planning with self- supervised freespace forecasting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.312221Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9913d68e-babe-4908-8bf6-50975edac007 · outbound

This paper cites Planning-oriented autonomous driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Planning-oriented autonomous driving

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.296974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33749ce7-2069-4258-8fba-8541195175e8 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.320744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3ccb14-5d9c-4756-9339-e3fe21863eee · outbound

This paper cites SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.325985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4233e2d-98a9-4c8c-9528-e35a705cbbc7 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.281651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b372bfb-2012-4ecc-b306-234c33ca9eaf · outbound

This paper cites GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.335072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4c35c2-bc66-476c-8257-f13fb869cebd · outbound

This paper cites ADriver-I: A General World Model for Autonomous Driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training ADriver-I: A General World Model for Autonomous Driving

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.340001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49bc9c8d-7633-4c86-892d-7d6a4de704f3 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.344949Z

Source-reported events for the cited work

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Observation 9a2d0764-6abc-431d-8615-158061d6197f · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Differentiable raycasting for self-supervised occupancy forecasting

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.266023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b4098862-1377-41e1-ab75-1e0b070ff42c · outbound

This paper cites Point Cloud Forecasting as a Proxy for 4D Occu- pancy Forecasting.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Point Cloud Forecasting as a Proxy for 4D Occu- pancy Forecasting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.250614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b44a08a4-846a-4680-b06a-0287bae046bb · outbound

This paper cites Self-supervised multi-future occupancy forecasting for autonomous driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Self-supervised multi-future occupancy forecasting for autonomous driving

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-11T12:51:18.930385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f430544d-f509-4021-a725-a099cbc875d9 · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.363501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e4d58e-4d0e-4b74-9c6e-74ed1f188e47 · outbound

This paper cites Fully Sparse 3D Occupancy Prediction.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Fully Sparse 3D Occupancy Prediction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.368118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced2a236-e6fb-4d11-be12-5611037bec23 · outbound

This paper cites Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.373116Z

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Unavailable: canonical work link unavailable.

Observation 3610c9f2-994b-4b32-ae09-c7e33c6d1be0 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.378128Z

Source-reported events for the cited work

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Observation 55d2dd82-b74a-4855-94bd-50bbf4dbc221 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.226079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 701e5284-390a-4774-a430-7ea35a6628a5 · outbound

This paper cites MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:51:18.790368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2a7d0b4-252a-4604-b7c9-b7131cf70c9c · outbound

This paper cites RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.392202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e22a4f-8ff8-4001-bcfd-ee988d551a4a · outbound

This paper cites Occupancy as set of points.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Occupancy as set of points

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.211006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81d02ead-3e17-4727-9605-fbe9c14e1a5e · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.401550Z

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Observation 785e5a0b-a40f-4f22-8e1c-d15077ba2baa · outbound

This paper cites Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.406503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f1d8de-7341-405c-874e-65d9a49421cd · outbound

This paper cites Scene as Occupancy.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Scene as Occupancy

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.411172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1005838c-32e2-4eb0-bc7e-fc3bb7d0904e · outbound

This paper cites Neural discrete representation learning.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Neural discrete representation learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.416555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85bac58b-015c-46a5-8fc1-afbca88cdbbc · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.421104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f5f070-fc06-479a-916a-ef0616e40fc4 · outbound

This paper cites OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.426030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a83733-1b89-447e-b4eb-c8c788f23190 · outbound

This paper cites PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.430673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f418b0dc-ff7f-4fa8-b355-b91b8403ad95 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.185418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8de69030-7485-4944-bf12-085eab06b681 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.438820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18322165-9a4a-40cd-a22e-4f7589fcdf84 · outbound

This paper cites SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.443158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12474640-bba8-4b02-a759-815ad3dbb987 · outbound

This paper cites Daydreamer: World models for physical robot learning.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Daydreamer: World models for physical robot learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.170152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb8da58d-e4ca-4ece-a8c0-2a75c8f6250e · outbound

This paper cites Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.452172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f129b8ec-52bc-42b5-926e-e5bf92d0e938 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training RenderWorld: World Model with Self-Supervised 3D Label

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.457116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9deaf9bf-1af2-49dc-93df-d5bfda8337c1 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Visual point cloud forecasting enables scalable autonomous driving

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.154318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 604e0e17-3330-48ef-9f76-c0ff3dff1615 · outbound

This paper cites OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.467297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9440fb-e2a5-45b8-a4ab-5e770837c82d · outbound

This paper cites RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:51:18.587078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05d85bf1-5966-4886-a06a-4d6efead2eeb · outbound

This paper cites Learning unsupervised world mod- els for autonomous driving via discrete diffusion.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Learning unsupervised world mod- els for autonomous driving via discrete diffusion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.138804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46a71cfc-0ab4-4ec6-a515-1a07b4429bd6 · outbound

This paper cites OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.481827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6365fb-0a8c-4eff-80eb-d4b54cd5b7d0 · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.486545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1999d444-66a1-495e-92f5-67e10d21b72b · outbound

This paper cites Vision-based 3D occupancy prediction in autonomous driving: a review and outlook.

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T12:51:18.491827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4253f486-67ba-469c-b94a-e0a01e43b7ee · outbound

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

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:51:19.123612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 11759504-272b-4741-a9cf-eb271fb799e1 · inbound

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

A Survey of World Models for Autonomous Driving An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Reference 229

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:53.005843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51083dc3-cd61-450a-a4a5-61df04267692 · inbound

From 2D to 3D Cognition: A Brief Survey of General World Models cites this paper.

From 2D to 3D Cognition: A Brief Survey of General World Models An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-06T22:57:42.072054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cf7902-228e-4d73-a16a-b73cc266e453 · 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 An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:54.319827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45baf745-9051-440c-a2b2-69cacddee87f · inbound

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

A Comprehensive Survey on World Models for Embodied AI An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:50.056948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9730be1f-2d35-4905-b7bc-307cc5a974e4 · inbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.947543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.