Paper Citation Record · LEDGER

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2511.22039.

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

pith.paper-citation-record.v1
2511.22039 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T05:26:34.859975Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:02:19.480937Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-12T06:41:43.885200Z

Reference resolution

56 of 56 outbound references displayed

verified exact27
verified fuzzy26
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa2dd7fa-c704-4dc8-a3d8-f12fb508e4f5 · outbound

This paper cites GPT-4 Technical Report.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:29:05.043900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de357cc9-74b2-4ab2-9091-1cd7b7f4380c · outbound

This paper cites Dynamiccity: Large-scale 4d oc- cupancy generation from dynamic scenes.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Dynamiccity: Large-scale 4d oc- cupancy generation from dynamic scenes

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.047830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dcfe7103-cb69-40b6-819d-9e6e9ae27509 · outbound

This paper cites nuscenes: A mul- timodal dataset for autonomous driving.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model nuscenes: A mul- timodal dataset for autonomous driving

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.563678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4c0f2a8-ae6f-46c5-8e0c-859cdca8fdeb · outbound

This paper cites OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.031298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 629c58cc-2aa2-4d55-b999-c1d554f705e0 · outbound

This paper cites Sparseworld: A flexible, adaptive, and efficient 4d occupancy world model powered by sparse and dynamic queries.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Sparseworld: A flexible, adaptive, and efficient 4d occupancy world model powered by sparse and dynamic queries

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.037902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b1bf81c9-467d-4a39-b300-2637545e9b6b · outbound

This paper cites Understanding world or predict- ing future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Understanding world or predict- ing future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.560837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f891c5eb-13f3-4aaf-96da-080726687b15 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:29:05.034426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

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

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 2026-08-13T06:32:02.005865+00:00.

Observation b8ee594a-46f0-443e-ba7a-6cf541da16fb · outbound

This paper cites FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous Driving.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous Driving

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.955730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b23dcca-c620-43ea-8d4c-d3d38c71d58c · outbound

This paper cites Deep residual learning for image recognition.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Deep residual learning for image recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.629751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d315bfe-ca71-4ea8-acbd-0e484457a237 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Tri-perspective view for vision-based 3d se- mantic occupancy prediction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.624745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 23679ba3-c54c-4070-8f2f-fa3b69351c25 · outbound

This paper cites Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.009542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 446582e3-4cf9-4e88-8500-6a5b9306dd3d · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.619975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e000769-f7d5-468d-9408-ba5fb8c00940 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Point cloud forecasting as a proxy for 4d occupancy forecasting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.622234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fa9ca3c-5ac8-459c-bda5-979f362821ba · outbound

This paper cites Auto-Encoding Variational Bayes.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Auto-Encoding Variational Bayes

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:29:04.963741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18ca4573-2d92-4c5f-8043-c5c1e367c425 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model 3D and 4D World Modeling: A Survey

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-21T03:22:29.733321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd5b4d30-940d-4f7b-8fb9-301ff9af6559 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model UniScene: Unified Occupancy-centric Driving Scene Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.999180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

This paper cites Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving.

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 2026-08-13T06:32:02.005865+00:00.

Observation a303f6cf-9465-431b-a2e4-b8c57db0a5b9 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.960139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2c7b5c5-a4ac-4cf9-9685-7390892e3259 · outbound

This paper cites Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.PAMI.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.PAMI

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.627366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29d45d7a-e269-4358-ba80-7eab0cec388c · outbound

This paper cites an unresolved cited work.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-17T05:29:05.612499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b2d5490-cf19-4047-957c-da4fea4fca11 · outbound

This paper cites Stcocc: Sparse spatial-temporal cascade reno- vation for 3d occupancy and scene flow prediction.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Stcocc: Sparse spatial-temporal cascade reno- vation for 3d occupancy and scene flow prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.614668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f43675e7-76f5-40d7-a1c2-e3fcd4bb03a6 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model $I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.040869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a709a6c2-d042-4523-bd69-9d18787b6a07 · outbound

This paper cites Focal loss for dense object detection.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Focal loss for dense object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.617223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de3b3e95-adab-4aa8-ad54-cdac000e2bd2 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.972209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fca9ae36-d681-4d4b-8237-bae01306b9ce · outbound

This paper cites Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Sparsebev: High-performance sparse 3d object de- tection from multi-camera videos

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.608032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 972297a2-32b8-4419-8555-e73b55c0537b · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Petrv2: A unified framework for 3d perception from multi-camera images

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.610429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dee8b20b-81c8-46df-9d31-6e05ebe16770 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:29:05.019866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a73cd5d2-b694-4533-93bd-c6df58fd3004 · outbound

This paper cites Decoupled Weight Decay Regularization.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Decoupled Weight Decay Regularization

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:29:05.006041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbe39ef2-5ad9-497a-b81f-34a209b83990 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.024035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b52d983-155a-4fa5-9ec4-982d425f352d · outbound

This paper cites Scube: Instant large-scale scene reconstruction using voxsplats.NIPS, 37:97670–97698.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Scube: Instant large-scale scene reconstruction using voxsplats.NIPS, 37:97670–97698

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.603054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

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

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 2026-08-13T06:32:02.005865+00:00.

Observation d2e00fd4-96a9-4e24-a333-5c2990bffc3c · outbound

This paper cites DINOv3.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model DINOv3

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T05:29:04.967759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b766394e-b8bb-49f1-9ded-54b0b1f2da0e · outbound

This paper cites Sparsedrive: End-to-end au- tonomous driving via sparse scene representation.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Sparsedrive: End-to-end au- tonomous driving via sparse scene representation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.598247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27ff86e4-e802-43a2-afaa-0fee14e10cde · outbound

This paper cites Sparseocc: Re- thinking sparse latent representation for vision-based seman- tic occupancy prediction.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Sparseocc: Re- thinking sparse latent representation for vision-based seman- tic occupancy prediction

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.593252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0cace4b-27d4-4640-98b3-47e9a478db15 · outbound

This paper cites Driv- ingforward: Feed-forward 3d gaussian splatting for driving scene reconstruction from flexible surround-view input.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Driv- ingforward: Feed-forward 3d gaussian splatting for driving scene reconstruction from flexible surround-view input

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.595879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4997f1dc-be22-48de-95a6-e77fbaab77ee · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.NIPS, 36:64318–64330.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.NIPS, 36:64318–64330

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.590583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1ed7b05-8cc1-4aab-b596-7d6aa5a7373e · outbound

This paper cites Neural discrete representation learning.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Neural discrete representation learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.588131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20f50527-7308-45e5-a46e-c6f98aa11547 · outbound

This paper cites Opus: occupancy prediction using a sparse set.NIPS, 37:119861–119885.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Opus: occupancy prediction using a sparse set.NIPS, 37:119861–119885

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.583465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fa872da6-b22c-4a84-a472-b672f96d7f3e · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Vggt: Vi- sual geometry grounded transformer

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.585744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a68343da-b36d-4615-9b6e-570709c9bae1 · outbound

This paper cites OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.987830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd5295d3-ea4c-4b75-b3b8-3054b1fe18a0 · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.600670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bc8edf6-8297-49c3-b141-7825cbf734cf · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Detr3d: 3d object detection from multi-view images via 3d-to-2d queries

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.605828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4a9f572-628c-4945-8c45-3eb164c2b7eb · outbound

This paper cites UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.027921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 387c42eb-2a80-4d5f-aa66-9ce2a30d8244 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.976416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd33baae-b4b3-40de-926d-03f29091e93b · outbound

This paper cites Delta-triplane transformers as occupancy world models.arXiv preprint arXiv:2503.07338.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Delta-triplane transformers as occupancy world models.arXiv preprint arXiv:2503.07338

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.984000Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ac2cfc2-0324-4a93-b71a-d27e121fbe05 · outbound

This paper cites Spatiotemporal decoupling for efficient vision-based occupancy forecasting.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Spatiotemporal decoupling for efficient vision-based occupancy forecasting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.580889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 588cb74e-6d71-437e-8051-a0698f97332a · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.979906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4471553-f03a-42ac-bdeb-e1219375c530 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model RenderWorld: World Model with Self-Supervised 3D Label

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.016706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3efa974e-0190-44cd-95ab-20d97544c73f · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Driving in the occupancy world: Vision-centric 4d occupancy forecast- ing and planning via world models for autonomous driving

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.569165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba5a1998-2cc3-4cb2-82b4-fa30cd58e73d · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Visual point cloud forecasting enables scalable autonomous driving

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.571907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

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

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 2026-08-13T06:32:02.005865+00:00.

Observation 604c2203-c8f9-47dd-ac18-cfd6ab5666d9 · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Adding conditional control to text-to-image diffusion models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.574738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 063104a8-d3e5-4f5d-a508-6040df9d14fe · outbound

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

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:29:05.578391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 968194bc-7e00-4c6f-b264-0ec246d6c664 · outbound

This paper cites GaussianAD: Gaussian-Centric End-to-End Autonomous Driving.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model GaussianAD: Gaussian-Centric End-to-End Autonomous Driving

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.013348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05fcd767-e590-4e1a-b9db-ee4a8399af5b · outbound

This paper cites TE”, “PE.

SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model TE”, “PE

Reference 56

Resolution: malformed identifier; raw_fallback, observed 2026-05-17T05:29:05.566311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation d2b2d22c-369d-48b4-9b96-7be348774b64 · inbound

Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy cites this paper.

Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-11T17:36:06.338527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1867b2aa-bf21-4863-8f08-51ad26c47667 · inbound

Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy cites this paper.

Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:41:43.887771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.