Paper Citation Record · LEDGER

GaussRender: Learning 3D Occupancy with Gaussian Rendering

As of 10 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 3 inbound Pith citation observations for arXiv:2502.05040.

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

pith.paper-citation-record.v1
2502.05040 v3

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:32:27.527232Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:44:33.539610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:46:28.272322Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
verified fuzzy59
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c7111f0-409d-4e17-afb5-d68d615f8e0c · outbound

This paper cites Lara: Latents and rays for multi-camera bird’s-eye-view semantic segmen- tation.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Lara: Latents and rays for multi-camera bird’s-eye-view semantic segmen- tation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.476953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 776dfc38-3a16-4897-8d3d-9de73239ab23 · outbound

This paper cites The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

GaussRender: Learning 3D Occupancy with Gaussian Rendering The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.463606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 032cdd65-2c52-4bd6-a718-9d53931acade · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.450523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f41d134-8e92-4260-b003-b93ee9904e8a · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering Monoscene: Monoc- ular 3d semantic scene completion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.437094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dbff169a-9587-45f7-96b7-4c01a3a4c315 · outbound

This paper cites Pointbev: A sparse approach to bev predictions.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Pointbev: A sparse approach to bev predictions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.424021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb86196b-c94c-461e-802b-14de631313e6 · outbound

This paper cites Unitraj: A unified framework for scalable vehicle trajectory prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Unitraj: A unified framework for scalable vehicle trajectory prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.410943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 443a37ad-bcc2-40b2-a0be-e9ea8991635a · outbound

This paper cites GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting.

GaussRender: Learning 3D Occupancy with Gaussian Rendering GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T20:32:27.300658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2fa2073-f62b-43b4-9d6a-0f2d2bd7c2f0 · outbound

This paper cites ViP3D: End-to-end visual trajectory prediction via 3d agent queries.

GaussRender: Learning 3D Occupancy with Gaussian Rendering ViP3D: End-to-end visual trajectory prediction via 3d agent queries

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.397711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c3eb255-fb1b-4804-bdba-9c10b8075a55 · outbound

This paper cites Fiptr: A simple yet effective transformer framework for future instance prediction in autonomous driving.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Fiptr: A simple yet effective transformer framework for future instance prediction in autonomous driving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.384849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8471a41b-6562-4dab-8d41-d69df40ad9e0 · outbound

This paper cites Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, and Katerina Fragkiadaki.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, and Katerina Fragkiadaki

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.371915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45d047b8-84f8-4656-8262-cef9d51b6050 · outbound

This paper cites FIERY: Future instance segmentation in bird’s-eye view from surround monocular cameras.

GaussRender: Learning 3D Occupancy with Gaussian Rendering FIERY: Future instance segmentation in bird’s-eye view from surround monocular cameras

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.358419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a691a22-901c-4dc3-b753-a298f90b9e94 · outbound

This paper cites ST-P3: end-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

GaussRender: Learning 3D Occupancy with Gaussian Rendering ST-P3: end-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.344915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ea21eaa-70f7-4aeb-8172-1e7782bddbc9 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

GaussRender: Learning 3D Occupancy with Gaussian Rendering BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T20:32:27.325955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8ab88c8-fa83-409c-8639-d7a3df145ecb · outbound

This paper cites Bevdet: High-performance multi-camera 3d object detection in bird-eye-view.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Bevdet: High-performance multi-camera 3d object detection in bird-eye-view

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.331336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 179b31e3-c770-40f7-a666-641242d9c14d · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering Tri-perspective view for vision-based 3d se- mantic occupancy prediction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.317978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc6b938d-603d-4ebf-8648-8fde6cc779aa · outbound

This paper cites Gaussianformer-2: Probabilistic gaussian superposition for efficient 3d occupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Gaussianformer-2: Probabilistic gaussian superposition for efficient 3d occupancy prediction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.304416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5bac13d-c73d-466a-b638-f128c5fbf5ba · outbound

This paper cites Selfocc: Self-supervised vision-based 3d oc- cupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Selfocc: Self-supervised vision-based 3d oc- cupancy prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.289758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2ced3e5-c91b-4e9b-9778-a859d8a24639 · outbound

This paper cites Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.275189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38c22ec9-bb4b-40ee-b7f9-d8a582c4c547 · outbound

This paper cites Sym- phonize 3d semantic scene completion with contextual in- stance queries.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Sym- phonize 3d semantic scene completion with contextual in- stance queries

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.261613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28938ea3-5104-477d-90e9-64620e0fa2e8 · outbound

This paper cites Gausstr: Foundation model-aligned gaussian transformer for self-supervised 3d spatial understanding.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Gausstr: Foundation model-aligned gaussian transformer for self-supervised 3d spatial understanding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.247526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 696a088a-d57e-4150-9f96-3cf8f6d39d5f · outbound

This paper cites Far3d: Expanding the horizon for surround-view 3d object detec- tion.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Far3d: Expanding the horizon for surround-view 3d object detec- tion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.233755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ca0b124-1fd8-43b3-b400-cd540f5a3ab1 · outbound

This paper cites Neu- ral 3d mesh renderer.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Neu- ral 3d mesh renderer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.219755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2616ba7c-b2c4-4aac-9456-d717a065bbee · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering 3d gaussian splatting for real-time radiance field rendering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T20:32:27.366349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa0a9ae-8c04-4dd9-9ce4-933509f33931 · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering Point cloud forecasting as a proxy for 4d occupancy forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.197352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54f6431d-cef6-456f-be70-2cef061c98e9 · outbound

This paper cites Lapred: Lane-aware prediction of multi- modal future trajectories of dynamic agents.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Lapred: Lane-aware prediction of multi- modal future trajectories of dynamic agents

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.183524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fc12efb-2710-4b33-9735-ec7f34f3dba5 · outbound

This paper cites Hierarchical temporal context learning for camera-based semantic scene comple- tion.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Hierarchical temporal context learning for camera-based semantic scene comple- tion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.170488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f8d04b57-cfce-4178-b840-7ebe9273211d · outbound

This paper cites Viewformer: Exploring spatiotem- poral modeling for multi-view 3d occupancy perception via view-guided transformers.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Viewformer: Exploring spatiotem- poral modeling for multi-view 3d occupancy perception via view-guided transformers

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.157673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0065034b-4539-4c5a-b476-92a405d6d1cd · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.144578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dfdff242-6548-448c-8f63-093a45d5f8ab · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.131671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dadaca01-958b-4b48-9637-a1989aad522f · outbound

This paper cites Choy, Chaowei Xiao, Jos ´e M.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Choy, Chaowei Xiao, Jos ´e M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.117877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ade0bc3f-26f8-4dbb-98ec-307a24acdfee · outbound

This paper cites Ss- cbench: A large-scale 3d semantic scene completion bench- mark for autonomous driving.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Ss- cbench: A large-scale 3d semantic scene completion bench- mark for autonomous driving

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.104787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6557d17e-5707-40e1-af22-a16547c880b8 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.091963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c999a27-ab93-47c3-8ae1-5281e87ea234 · outbound

This paper cites ´Alvarez.

GaussRender: Learning 3D Occupancy with Gaussian Rendering ´Alvarez

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.078881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a6ceddd-8b44-4555-ba91-c1e8124794f7 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.

GaussRender: Learning 3D Occupancy with Gaussian Rendering KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.066290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34db6c6d-c66d-4f67-af94-0650d10a7822 · outbound

This paper cites Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.053581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4cfd40d6-b9cd-4668-8c50-e0cd49df9b1f · outbound

This paper cites Fully sparse 3d occupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Fully sparse 3d occupancy prediction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.040469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a1fb2eb-02fa-4252-81dd-2ef8bc043a37 · outbound

This paper cites Pa- parazzi: surface editing by way of multi-view image process- ing.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Pa- parazzi: surface editing by way of multi-view image process- ing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.027825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e845796-7209-41fa-845d-61b8d5c7a6f9 · outbound

This paper cites PETR: position embedding transformation for multi-view 3d object detection.

GaussRender: Learning 3D Occupancy with Gaussian Rendering PETR: position embedding transformation for multi-view 3d object detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.014581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8bb5f38-5608-424a-8334-c02c42494e68 · outbound

This paper cites Oc- treeocc: Efficient and multi-granularity occupancy predic- tion using octree queries.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Oc- treeocc: Efficient and multi-granularity occupancy predic- tion using octree queries

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:28.001778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dbb75ebd-83ee-4fbb-8229-8c2e4d4f4251 · outbound

This paper cites COTR: compact occupancy trans- former for vision-based 3d occupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering COTR: compact occupancy trans- former for vision-based 3d occupancy prediction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.988963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 633fbc19-1c68-46a5-ae4f-8db9c280c93f · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Srinivasan, Matthew Tancik, Jonathan T

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.975317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1eef364d-2cfd-4c33-a017-bd4a5b3c0332 · outbound

This paper cites Atlas: End- to-end 3d scene reconstruction from posed images.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Atlas: End- to-end 3d scene reconstruction from posed images

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.962501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 679a720d-1c65-4c37-8337-67efcf85e701 · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.949766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f2155f0-1c1e-42ea-9e0b-bd94507079aa · outbound

This paper cites Motion transformer with global intention localization and lo- cal movement refinement.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Motion transformer with global intention localization and lo- cal movement refinement

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.936480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90eb1350-92f3-4faa-b4d2-247ef0164db8 · outbound

This paper cites MTR++: multi-agent motion prediction with symmetric scene modeling and guided intention querying.

GaussRender: Learning 3D Occupancy with Gaussian Rendering MTR++: multi-agent motion prediction with symmetric scene modeling and guided intention querying

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.923659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07ce95f7-aa17-42db-9bd8-df1d9af6fb49 · outbound

This paper cites Unified spatio-temporal tri-perspective view representation for 3d se- mantic occupancy prediction, 2024.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Unified spatio-temporal tri-perspective view representation for 3d se- mantic occupancy prediction, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.910556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae98e6f7-83d8-444f-aca8-91f34ade52cb · outbound

This paper cites Occfeat: Self-supervised occupancy feature prediction for pretraining BEV segmentation networks.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Occfeat: Self-supervised occupancy feature prediction for pretraining BEV segmentation networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.897775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0f8d184c-52ab-4bc6-a4e2-406f20c6dc69 · outbound

This paper cites Sudre, Wenqi Li, Tom Vercauteren, S ´ebastien Ourselin, and M.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Sudre, Wenqi Li, Tom Vercauteren, S ´ebastien Ourselin, and M

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.885227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1d4ed67-dd3c-438c-9226-dd83cfe8f836 · outbound

This paper cites Gsrender: Dedupli- cated occupancy prediction via weakly supervised 3d gaus- sian splatting.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Gsrender: Dedupli- cated occupancy prediction via weakly supervised 3d gaus- sian splatting

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.872391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bac9df1-555d-4ac8-a2b9-64f6bf87765d · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.859711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce9b9964-1e81-45e9-afb8-e70b609c5388 · outbound

This paper cites Mambaocc: Visual state space model for bev-based occupancy prediction with local adaptive reordering.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Mambaocc: Visual state space model for bev-based occupancy prediction with local adaptive reordering

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.846807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57a55030-6670-44b1-974a-3bdc21dbd238 · outbound

This paper cites Pop- 3d: Open-vocabulary 3d occupancy prediction from images.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Pop- 3d: Open-vocabulary 3d occupancy prediction from images

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.833995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53433243-6f3d-4d4d-9113-abcd4e1cc8b2 · outbound

This paper cites Occsora: 4d occupancy generation models as world simulators for au- tonomous driving.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Occsora: 4d occupancy generation models as world simulators for au- tonomous driving

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.821123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4323247b-74dd-4c86-a6a5-d6834ecfa089 · outbound

This paper cites Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.808243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation babd4412-05ab-44a2-b5e6-d1bef3728106 · outbound

This paper cites 3d semantic scene completion and occupancy prediction for autonomous driving: A survey.

GaussRender: Learning 3D Occupancy with Gaussian Rendering 3d semantic scene completion and occupancy prediction for autonomous driving: A survey

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.795476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed355d4c-86b9-4712-86f1-5c765e10f5e3 · outbound

This paper cites Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive? In ICRA, 2024.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive? In ICRA, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.782524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89dc26eb-89de-4be9-abbf-26c051335946 · outbound

This paper cites PPT: pre-training with pseudo-labeled trajectories for motion forecasting.

GaussRender: Learning 3D Occupancy with Gaussian Rendering PPT: pre-training with pseudo-labeled trajectories for motion forecasting

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.768497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cd386dc-0bf3-4fea-afa0-9bd55d0bd5e8 · outbound

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

GaussRender: Learning 3D Occupancy with Gaussian Rendering Driving in the occupancy world: Vision-centric 4d occupancy forecast- ing and planning via world models for autonomous driving

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.754475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62d96fcf-daf7-46e4-abae-488fe4accd2e · outbound

This paper cites Cvt-occ: Cost volume temporal fusion for 3d occupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Cvt-occ: Cost volume temporal fusion for 3d occupancy prediction

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.741239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21d407ca-0c6f-4803-b2fa-2afe9aa6a204 · outbound

This paper cites Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.728074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95821b51-5383-45e9-90fd-df86f04df01f · outbound

This paper cites Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.714997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04c20b20-eb84-4f05-9ebc-2e9cdac1c9b0 · outbound

This paper cites Lowrankocc: Tensor decomposition and low-rank recovery for vision-based 3d semantic occupancy prediction.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Lowrankocc: Tensor decomposition and low-rank recovery for vision-based 3d semantic occupancy prediction

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:32:27.701289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76048781-c3f8-4057-947f-71222f9edd83 · outbound

This paper cites Unim2ae: Multi- modal masked autoencoders with unified 3d representation for 3d perception in autonomous driving.

GaussRender: Learning 3D Occupancy with Gaussian Rendering Unim2ae: Multi- modal masked autoencoders with unified 3d representation for 3d perception in autonomous driving

Reference 63

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T20:32:27.659379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation be394b1c-2e96-4315-84a1-f9be8de87b95 · inbound

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection cites this paper.

VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection GaussRender: Learning 3D Occupancy with Gaussian Rendering

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:44:33.539610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5870ef-3737-4f6e-9c23-2b292c316b0c · inbound

ODG: Occupancy Prediction Using Dual Gaussians cites this paper.

ODG: Occupancy Prediction Using Dual Gaussians GaussRender: Learning 3D Occupancy with Gaussian Rendering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:38.536644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d39d32-6fb4-4793-baa5-0f0936b95871 · inbound

UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion cites this paper.

UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion GaussRender: Learning 3D Occupancy with Gaussian Rendering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:28.274331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.