Paper Citation Record · LEDGER

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 3 inbound Pith citation observations for arXiv:2502.07309.

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

pith.paper-citation-record.v1
2502.07309 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:14:13.992401Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:04:22.334747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:29:05.000892Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy7
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bebd62a2-1afe-4e4d-99fb-2895ad40def0 · outbound

This paper cites OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving OccFlowNet: Towards Self-supervised Occupancy Estimation via Differentiable Rendering and Occupancy Flow

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.879864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf8b656-c362-4ef5-ac0e-b174bc67c342 · outbound

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

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.912522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8df38a-45df-4432-9e2a-b816bd12b633 · outbound

This paper cites AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.918070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166e6137-1c4c-4e9a-9827-fa4b6fdf9b31 · outbound

This paper cites Renderocc: Vision-centric 3d occupancy prediction with 2d ren- dering supervision.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Renderocc: Vision-centric 3d occupancy prediction with 2d ren- dering supervision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.363218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e1c93daa-569c-4533-b7d9-5caa3d964a2f · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.348472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a174020c-1f29-4ddd-a4b6-a0f8980245fe · outbound

This paper cites Scene as occupancy.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Scene as occupancy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.333756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 479b6d9f-8ef3-4400-9330-740c5011a30c · outbound

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

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.939425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148fd0c3-f10e-4855-ae19-bd9de82b9b64 · outbound

This paper cites DRINet++: Efficient Voxel-as-point Point Cloud Segmentation.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving DRINet++: Efficient Voxel-as-point Point Cloud Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.944212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fea8bf9-7550-4fb4-b3c1-84a561860422 · outbound

This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.949271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9642f4-9fba-4967-9025-cf9a069121f5 · outbound

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

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.954187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c550d25b-521c-4e21-825c-64d889bdfbf9 · outbound

This paper cites MonoOcc: Digging into Monocular Semantic Occupancy Prediction.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving MonoOcc: Digging into Monocular Semantic Occupancy Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.959961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 100a2ef0-21c1-4c67-8f8e-6bf1697493cf · outbound

This paper cites an unresolved cited work.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:14:14.319159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 837e8178-c72b-47b4-a355-f556cad04170 · outbound

This paper cites an unresolved cited work.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:14:14.304636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e230269-96eb-470e-af4c-066e0bc473eb · outbound

This paper cites an unresolved cited work.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:14:14.288399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c5bb530-4f47-45ed-93cf-366bc13df1aa · outbound

This paper cites While OccFlowNet outperforms SparseOcc in the mIoU metric with 33.86 over 30.90, its performance notably lags behind SparseOcc in terms of RayIoU.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving While OccFlowNet outperforms SparseOcc in the mIoU metric with 33.86 over 30.90, its performance notably lags behind SparseOcc in terms of RayIoU

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.273931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5572677-85f8-4e8c-88bc-5e9ee1d60936 · outbound

This paper cites an unresolved cited work.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:14:14.258437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7849010c-1863-45a1-81bd-992842bd3938 · outbound

This paper cites The red boxes highlight fine-grained details of the 3D occupancy predictions and the ground truth, while the orange boxes mark holistic structure of an area within the scene.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving The red boxes highlight fine-grained details of the 3D occupancy predictions and the ground truth, while the orange boxes mark holistic structure of an area within the scene

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.242579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 481aae12-8a8f-45a6-843b-5c76d2abfadf · outbound

This paper cites However, while this approach may lead to higher mIoU scores, its predictions for occluded regions are chaotic, indicating a lack of true understanding of the scene structure.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving However, while this approach may lead to higher mIoU scores, its predictions for occluded regions are chaotic, indicating a lack of true understanding of the scene structure

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.226034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39b73ce5-362c-4a92-ad16-b986708da699 · outbound

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

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.896531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78470dee-ff36-4a56-b744-74baea27e871 · outbound

This paper cites Fully Sparse 3D Occupancy Prediction.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Fully Sparse 3D Occupancy Prediction

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.922655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c82d9e-1e31-41d8-8410-00cd95eee709 · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.885960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97972ea8-1392-4fab-8402-f401d3498076 · outbound

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

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.901873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6908dc-d7b2-4c34-bc2a-1a0c0732bdb3 · outbound

This paper cites World Models.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving World Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T13:14:13.891244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3313c580-c37e-4828-9a83-c122c8898a74 · outbound

This paper cites Dif- ferentiable raycasting for self-supervised occupancy forecasting.

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving Dif- ferentiable raycasting for self-supervised occupancy forecasting

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:14:14.377535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 7a9959ca-0ac7-4c55-b07d-8d9e1fff7706 · inbound

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

3D and 4D World Modeling: A Survey Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-05T06:04:22.334747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33817271-c679-4302-87cd-5f2f6f1caf1c · inbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.002759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a0c813a-0318-4528-98c3-a627bad0bf58 · inbound

Learning Vision-Language-Action World Models for Autonomous Driving cites this paper.

Learning Vision-Language-Action World Models for Autonomous Driving Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:31:00.860516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.