Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:52.351495Z
Paper Citation Record · LEDGER
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction
As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.05563.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact5
- verified fuzzy28
- unresolved29
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d93c4a20-1e34-44aa-acdd-41b95c93da8a · outbound
This paper cites Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.059618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091d0cfb-87e4-41c9-a4b7-d93c05c3ac12 · outbound
This paper cites The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction 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 2026-08-07T10:20:53.427410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc645a00-2483-42d9-ae48-893ab653cda8 · outbound
This paper cites A generalization of algebraic surface draw- ing.ACM transactions on graphics (TOG), 1(3):235–256,.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction A generalization of algebraic surface draw- ing.ACM transactions on graphics (TOG), 1(3):235–256,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.411987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e1d8ef8b-2ce8-445c-ad73-9aa75a1cea0c · outbound
This paper cites nuscenes: A multi- modal dataset for autonomous driving.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction nuscenes: A multi- modal dataset for autonomous driving
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.396040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ea6885c-a2f4-45ac-8cd0-571d1508cb79 · outbound
This paper cites OmniRe: Omni Urban Scene Reconstruction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction OmniRe: Omni Urban Scene Reconstruction
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.079714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36bf602e-e724-4ac9-8b0b-991fb8c470a8 · outbound
This paper cites DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.085571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8800d749-cce6-4009-a2cb-cd731cf10408 · outbound
This paper cites 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.091191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19ebbff0-4f6d-4011-8eef-1a728040859f · outbound
This paper cites A New Split Algorithm for 3D Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction A New Split Algorithm for 3D Gaussian Splatting
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:20:52.922274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed600e61-57b8-42a3-a8e3-b5e9b046445f · outbound
This paper cites GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.102301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fed5bb2-d8f9-430c-aa94-70537496d159 · outbound
This paper cites GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.107253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a6dc39b-ec23-471c-b528-e759a702c66f · outbound
This paper cites Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.112470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b11170d-9f38-48c9-8e54-8300c4fa15ef · outbound
This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.117554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e082408-7fb4-4556-be4c-b233da1d2a3e · outbound
This paper cites SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.122381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a0fbcd1-e12b-4561-b4d7-10b07ef851ab · outbound
This paper cites Tri-perspective view for vision-based 3d se- mantic occupancy prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Tri-perspective view for vision-based 3d se- mantic occupancy prediction
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.126878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81efdd03-0540-4267-8b3d-79fb18129223 · outbound
This paper cites GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.131978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0addbf7e-dea2-448f-bc49-572e3b428bf7 · outbound
This paper cites Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.371240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3c332ff-19c8-4447-9ddc-0ca65223ac03 · outbound
This paper cites A compact dynamic 3d gaussian representation for real-time dynamic view synthesis.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction A compact dynamic 3d gaussian representation for real-time dynamic view synthesis
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.355386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b74281c0-da30-4375-b33e-497a0d84cbd3 · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM TOG, 42(4):1–14, 2023.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction 3d gaussian splatting for real-time radiance field rendering.ACM TOG, 42(4):1–14, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.339509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8b646a5b-57c2-4136-8afd-11fe80434cf1 · outbound
This paper cites DGD: Dynamic 3D Gaussians Distillation.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction DGD: Dynamic 3D Gaussians Distillation
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:20:52.813572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c3527da-4227-4aac-b687-d117b1efab14 · outbound
This paper cites Fully Explicit Dynamic Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Fully Explicit Dynamic Gaussian Splatting
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:20:52.792035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0dffbffd-2608-4f05-b883-bcc17fa823e9 · outbound
This paper cites V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.324872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b46d9f21-2197-4e8b-a7d8-14c09b0dac69 · outbound
This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.310521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 230c32d2-95e1-4b97-a517-ddc24728e3d8 · outbound
This paper cites 2, 3, 4, 5, 6.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction 2, 3, 4, 5, 6
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.295593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3e043df6-c106-4406-bf3a-35c98a9ac64c · outbound
This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.174934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a45ef4f6-7c77-4be3-a343-59157b63dd41 · outbound
This paper cites Gaussian-flow: 4d reconstruction with dynamic 3d gaus- sian particle.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Gaussian-flow: 4d reconstruction with dynamic 3d gaus- sian particle
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.179670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 390b93c2-4b4e-4f57-a4eb-cb4a14e51311 · outbound
This paper cites Fully Sparse 3D Occupancy Prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Fully Sparse 3D Occupancy Prediction
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.183845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbf3cf00-087e-4328-acb2-61eb710cdf75 · outbound
This paper cites SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:20:52.740512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e9b880a-4a6c-417e-876c-1603c2ab5817 · outbound
This paper cites MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.193434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 024169e0-603a-4547-9327-75d43aab5007 · outbound
This paper cites 3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction 3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.198477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71281112-01c9-4744-8a52-7d911b07d64c · outbound
This paper cites Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.202972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2569273-739e-48d6-bc4d-1c0fd076e19f · outbound
This paper cites 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.207799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a08b18ef-efd3-4442-83c5-ea3803526a25 · outbound
This paper cites Cam4docc: Benchmark for camera-only 4d occupancy fore- casting in autonomous driving applications.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Cam4docc: Benchmark for camera-only 4d occupancy fore- casting in autonomous driving applications
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.271963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff207c1a-aca2-4346-ac22-4ce5f89c48b1 · outbound
This paper cites Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Cotr: Compact occupancy transformer for vision-based 3d occupancy prediction
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.257808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a2bb5499-e2ae-4061-8f56-b46e9f72785f · outbound
This paper cites OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.221201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1519814-3fc4-41a7-be08-e54c99353001 · outbound
This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.243404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d6ec70d9-b4c7-4217-9a7c-08311946de84 · outbound
This paper cites RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.230384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f4055c3-e138-4a02-b19b-3453b1d160bb · outbound
This paper cites Learning occupancy for monocular 3d object detection.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Learning occupancy for monocular 3d object detection
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.228960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b5aed746-e8af-4ed5-8309-08f128472a58 · outbound
This paper cites Scene as occupancy.Proceedings of the IEEE/CVF International Conference on Computer Vi- sion, 2023.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Scene as occupancy.Proceedings of the IEEE/CVF International Conference on Computer Vi- sion, 2023
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.214027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b37316c3-9d0e-46b7-b7a2-01940368b0f0 · outbound
This paper cites Col- laborative semantic occupancy prediction with hybrid fea- ture fusion in connected automated vehicles.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Col- laborative semantic occupancy prediction with hybrid fea- ture fusion in connected automated vehicles
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.199887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d37a20d-d221-4eca-9c4a-c74d519a5dfd · outbound
This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.248655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10e39a01-97af-48b5-8f58-3bd7bbf36ecf · outbound
This paper cites Sparseocc: Re- thinking sparse latent representation for vision-based seman- tic occupancy prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Sparseocc: Re- thinking sparse latent representation for vision-based seman- tic occupancy prediction
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.184665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4dcc899d-8f82-42fa-a872-d072c6216f93 · outbound
This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.NeurIPS, 36, 2024.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.NeurIPS, 36, 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.169233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 022f889c-3c8b-479a-a016-f5927188a0f7 · outbound
This paper cites Scene as occupancy.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Scene as occupancy
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.154575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6dbb402-7d71-4014-8701-e997057486ad · outbound
This paper cites Pop-3d: Open-vocabulary 3d occupancy prediction from im- ages.Advances in Neural Information Processing Systems, 36, 2024.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Pop-3d: Open-vocabulary 3d occupancy prediction from im- ages.Advances in Neural Information Processing Systems, 36, 2024
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.138586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 613aeaf4-ef2f-4477-bde4-6f2a56f98aae · outbound
This paper cites Openoccupancy: A large scale benchmark for sur- rounding semantic occupancy perception.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Openoccupancy: A large scale benchmark for sur- rounding semantic occupancy perception
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.122289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a0ab2c63-6807-44f5-9791-0affc4803b84 · outbound
This paper cites PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.276717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6eb541b-82b7-443a-a778-a26f86acc187 · outbound
This paper cites Omni-scene: omni- gaussian representation for ego-centric sparse-view scene re- construction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Omni-scene: omni- gaussian representation for ego-centric sparse-view scene re- construction
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.107893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 137321da-22c0-4dec-8451-d3c3f551db84 · outbound
This paper cites Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Surroundocc: Multi-camera 3d occu- pancy prediction for autonomous driving
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.092453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2617980f-993a-49a2-8c6d-f6aa4dae7c04 · outbound
This paper cites Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.290507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ec4f8e6-b2ea-4970-9adf-450c52cb2196 · outbound
This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.295071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf1826f1-2516-44df-b820-719e834cc45c · outbound
This paper cites Rignet: Repetitive image guided network for depth completion.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Rignet: Repetitive image guided network for depth completion
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.076143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0733840b-b25c-4e59-a272-8705fba624ed · outbound
This paper cites Tri- perspective view decomposition for geometry-aware depth completion.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Tri- perspective view decomposition for geometry-aware depth completion
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.058728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d4ea34f8-b359-4b77-8044-40276551b403 · outbound
This paper cites Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.309598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 190d54b0-2116-4e0f-b27e-7f473249ab08 · outbound
This paper cites GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.314290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5f41c24-39f0-49ab-8957-67e929ef010d · outbound
This paper cites FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.319123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d08b255-c55f-4ff5-88e0-1ab3ed6824ef · outbound
This paper cites Occnerf: Self- supervised multi-camera occupancy prediction with neural radiance fields.arXiv e-prints, pages arXiv–2312, 2023.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Occnerf: Self- supervised multi-camera occupancy prediction with neural radiance fields.arXiv e-prints, pages arXiv–2312, 2023
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.043683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 121e1236-9912-4d95-bc7d-72c7fbb99892 · outbound
This paper cites EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.328047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c5eb209-0b75-4dc1-ab35-554ea0dfb56b · outbound
This paper cites Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Occformer: Dual-path transformer for vision-based 3d semantic occu- pancy prediction
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.028467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3b2b6472-133a-44bc-a3bc-087ed35c830e · outbound
This paper cites TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:20:52.411692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4311de4-969f-4ef9-9667-e02033b54160 · outbound
This paper cites Lowrankocc: Tensor decomposition and low-rank recovery for vision-based 3d semantic occupancy prediction.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Lowrankocc: Tensor decomposition and low-rank recovery for vision-based 3d semantic occupancy prediction
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:53.010924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 715f63e4-9d83-41ab-9ee5-46d16d64e9e7 · outbound
This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction Occworld: Learning a 3d occupancy world model for autonomous driving
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:20:52.995709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a167dc4-0c9f-4000-8dba-1757c06d8490 · outbound
This paper cites MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting.
VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:52.351495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.