Pith. sign in

Paper Citation Record · LEDGER

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer

As of 5 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.01573.

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

pith.paper-citation-record.v1
2606.01573 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:42:27.248927Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f15ad03f-a8af-43c1-9ed0-4c814c2d35f6 · outbound

This paper cites Large-scale data for multiple-view stere- opsis.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Large-scale data for multiple-view stere- opsis

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:76ec9adc309b5994b2836fb88ea7c100a3e1de0266a645d443325be8014bf8bc

Observation 4e196d7c-7033-4980-93d2-dcf817f73417 · outbound

This paper cites an unresolved cited work.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:e4c085debbe9c87bd9f225d49ae0c8a74f6950f1ac953d03ad6a6dc5ad623a48

Observation c447b7b8-ab65-4f43-b2d4-e176fadfb67e · outbound

This paper cites 5470–5479.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer 5470–5479

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:5cb82d102cd0afac53792ab65042174935d7ca22743b1616c5730034de2d9df3

Observation ceafdde9-22b9-4ed2-8699-c609f636e5a4 · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.904127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:ca516ceb8df152a2be1b43a04158af16d3d6e165bc3e994e8d4e9441eae71018

Observation dc16f611-f8e8-4681-be96-3adaf594880c · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes, in: Proc.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Scannet: Richly-annotated 3d reconstructions of indoor scenes, in: Proc

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:50f92d5b5ced417d01c3b757afe4d96165313e82490efbd85b77d6f91eed5feb

Observation 34f3a86a-5dc1-4d67-b9c8-8adbbfe476c6 · outbound

This paper cites FlashAttention-2: Faster attention with better paral- lelism and work partitioning, in: International Conference on Learn- ing Representations (ICLR).

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer FlashAttention-2: Faster attention with better paral- lelism and work partitioning, in: International Conference on Learn- ing Representations (ICLR)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:8aa85f83300020b8f778c4d137ca557cd1e49e73b9ebe2ca4275bd5712472c53

Observation 76c8075f-480e-4143-bede-06b741c4118b · outbound

This paper cites Superpoint:Self- supervised interest point detection and description, in: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Superpoint:Self- supervised interest point detection and description, in: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:bf7eac1491ff3e2901146061c8ddf1a24cb21e523447046376696495f7d26de9

Observation 20431c5d-d8a3-44fd-9f8f-a20556023f98 · outbound

This paper cites Real-time plane-sweeping stereo with multiple sweeping directions, J.K.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Real-time plane-sweeping stereo with multiple sweeping directions, J.K

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:fbd5f8d180502c006995b42a7e4419f0599ffcf49b68a2355d146c878692b35d

Observation 02bcaac7-a794-4003-8710-c72605332989 · outbound

This paper cites Vision meets robotics:Thekittidataset.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Vision meets robotics:Thekittidataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:33f8f87c219d026959a0d7a0e963c4dfba7df6c8f491f7f2788a6686f002f50b

Observation af30bcdb-ca5d-4eb3-b54b-62987719701e · outbound

This paper cites Rgbd gs-icp slam, in: European conference on computer vision, Springer.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Rgbd gs-icp slam, in: European conference on computer vision, Springer

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:998905a784decc2fe8095996d28246c29f69ef621de652f39fdffdb79e976e83

Observation 7d9b4cfb-1388-4378-b811-1bf0972917e0 · outbound

This paper cites In: SIGGRAPH 2024 Conference Papers (2024).

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer In: SIGGRAPH 2024 Conference Papers (2024)

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T15:52:21.849474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:0054976a46f32d53d6f4aa6e9082d9fc3e757e6b702a9331e6712daf2d85f80d

Observation 73c87e5e-06dc-48c0-aee8-2fae667a733d · outbound

This paper cites an unresolved cited work.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:26459d448138c746cbb91cab6128354f5353d2bc7003b0d8b5ea46433c096f02

Observation 139cb4a2-4f8a-4b2c-a0ec-0d001bcf2c77 · outbound

This paper cites Anysplat: Feed-forward 3d gaussian splatting from unconstrained views.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Anysplat: Feed-forward 3d gaussian splatting from unconstrained views

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:8863bcbdfd71f8f3f45e361da7613f59746a88fa644ff889f4024395a3f8770d

Observation 14e17822-5780-4676-90b3-4d1d56c8bdfc · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam, in: Proceedings of the IEEE/CVF J.K.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Splatam: Splat track & map 3d gaussians for dense rgb-d slam, in: Proceedings of the IEEE/CVF J.K

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:334e50d526c38e56a0ee3c45b3a14c9b6cb37524dc3a086027c4db6db5ce8752

Observation ccb887ce-2e5e-437e-be85-17ad64e51a34 · outbound

This paper cites MapAnything: Universal feed-forward metric 3D reconstruction, in: International Conference on 3D Vision (3DV), IEEE.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer MapAnything: Universal feed-forward metric 3D reconstruction, in: International Conference on 3D Vision (3DV), IEEE

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:b9938d1097540520b48ffb4dcfbad049375abc60fa9eb472e63b1c5a6f98cf27

Observation 53b4402c-bdb9-41e9-8f2e-3dd8d4228ded · outbound

This paper cites 3d gaussiansplattingforreal-timeradiancefieldrendering.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer 3d gaussiansplattingforreal-timeradiancefieldrendering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:138eff48f25ee72c392a6019454edea9e91f4d893831d83c2a09a06bcb8f4669

Observation 8a673171-2b9c-4a96-b657-494e62f0a120 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:028bc8bca8d1ac8b60026f5cadd106ba3ce5baaf28bc4aae7bb13e1b0ed32a03

Observation afea1c82-63bd-4beb-b811-046c318b5c63 · outbound

This paper cites Iggt: Instance- grounded geometry transformer for semantic 3d reconstruc- tion.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Iggt: Instance- grounded geometry transformer for semantic 3d reconstruc- tion

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.942398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:00b7b85f7a6ea966322fb99e2828383aa072626c92b330e875628e67d52e3ab2

Observation e6d84514-4ef1-4b66-ba37-5ce3e3ef2934 · outbound

This paper cites Tokensplat: Token- aligned 3d gaussian splatting for feed-forward pose-free reconstruction.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Tokensplat: Token- aligned 3d gaussian splatting for feed-forward pose-free reconstruction

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.938938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:662c36d4b7fb3f68a366da9f042c960770032eccd9ffb76e9b23c073c30de248

Observation ea9cfaa9-f6af-48c9-bebf-0dba92c39cad · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Depth Anything 3: Recovering the Visual Space from Any Views

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:06:16.939817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:9b563d3057322aa114622f7e3eebc1ddc8b5645ec906b953c006a87125181c3b

Observation f0bc9228-4216-4199-aeb3-96f87b6826b4 · outbound

This paper cites Scale invariant feature transform.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Scale invariant feature transform

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:ebe4afaafcf209db58fe4e172b25726268e40f5925ad01fc95f3630c57b9bbc5

Observation 0598125c-9eae-4699-a642-d649d1bc67e0 · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Scaffold-gs: Structured 3d gaussians for view-adaptive rendering, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:4f1dcd9e72e85b178240b05dd3d4453efbe94347adad0464767dddc1a5b4dd4d

Observation ce1f02cf-0f3f-44ec-a968-c88cb1f99d77 · outbound

This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.945039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:1e7033378deb9893f36e41c6957413b2bfeaa69680e0db965652fea298aa5003

Observation 88fc664d-dc9e-45f6-a2f8-ed982a317140 · outbound

This paper cites Gnerf: Gan-based neural radiance field without posed camera, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Gnerf: Gan-based neural radiance field without posed camera, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:73ba49efcfade24d209f9c62a6b5fc5a08556d35363842d5714b9d6a9d1481f1

Observation 02e3b9c0-aab3-494f-bcac-9597e34c8255 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis, in: ECCV.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Nerf: Representing scenes as neural radiance fields for view synthesis, in: ECCV

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:61a8f8ee8fdcf4652161d023416d85ddae75aafc1cf4a615dc94b220e7fb76f2

Observation b07e4a8b-ba94-4460-9c17-819fe18ce095 · outbound

This paper cites Objects as volumes: A stochastic geometry view of opaque solids.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Objects as volumes: A stochastic geometry view of opaque solids

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:0101cbc8fc0132844db2713f5f5307b56e61da4196f8815f96f8a8429ab0e173

Observation 0f67a7c6-7eb8-49d4-857a-051ff63021b2 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Dinov2: Learning robust visual features without supervision

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:9b60dd2a01cb5c6221a6b5a089b1840b8a31f0029cd91c129e1bdb0be2c0cee3

Observation 970272b2-5eb0-497b-8246-c9bf8a975ae2 · outbound

This paper cites Global structure-from-motion revisited, in: European Conference on Com- puter Vision, Springer.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Global structure-from-motion revisited, in: European Conference on Com- puter Vision, Springer

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:15f3d9497c07d9a54c5831c60b0eeccd3abf0746e6fe622ba21ad2906934f850

Observation b5f1e73a-39c1-4f22-bcb8-ba79766907fe · outbound

This paper cites Vision transformers for dense prediction.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Vision transformers for dense prediction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:65f2886ae3d540a5d34f308415f6ab7c020a5c9bab2c0f97746c4e9becaf665c

Observation 468464d2-6cba-4528-9ad1-38f814bf4619 · outbound

This paper cites arXiv preprint arXiv:2511.04283 , year=.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer arXiv preprint arXiv:2511.04283 , year=

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:06:16.936222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:089077c238c9b6fc096ea86faa95ac9072f9851760a183885c425750af9797b8

Observation 44299ed9-e111-4798-ba88-321052c840d7 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks, in:ProceedingsoftheIEEE/CVFconferenceoncomputervisionand pattern recognition, pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Superglue: Learning feature matching with graph neural networks, in:ProceedingsoftheIEEE/CVFconferenceoncomputervisionand pattern recognition, pp

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:9c3674b6f569803b9ba962fcd28b65dea4d580b506d3b922abd078739de3dd0e

Observation 709014f5-c52d-4236-bd63-49c36540de59 · outbound

This paper cites Structure-from-motion revis- ited, in: Conference on Computer Vision and Pattern Recognition (CVPR).

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Structure-from-motion revis- ited, in: Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:d7822cd60b45107c01309a7bdacf2e8297d52e9614a281baa4dbc40623fe14de

Observation afbd4999-7d01-4190-8adb-9a492e39d237 · outbound

This paper cites Pixel- wise view selection for unstructured multi-view stereo, in: European Conference on Computer Vision (ECCV).

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Pixel- wise view selection for unstructured multi-view stereo, in: European Conference on Computer Vision (ECCV)

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:1ba26918575cd5e27f184347ef488419a76f0e36647e0fcb860b2191120b56d7

Observation 8007a02a-17d3-4575-9117-6e285be9f919 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:06:16.933929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:3a13ef29e5ad61a426560c8ffd0c2b810f1c0c23338a19910782a7791f47395e

Observation 21927f48-c8b7-4439-9d58-f5114d3ba3b8 · outbound

This paper cites Sparsityinvariantcnns,in:InternationalConferenceon3D Vision (3DV).

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Sparsityinvariantcnns,in:InternationalConferenceon3D Vision (3DV)

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:4a081f95bc7d41dfa4afe2c78a92d6721a28a2219ef9ba1a7195333074340f9e

Observation 930fd03f-83b4-4390-b51c-9e0b6b1eb0e3 · outbound

This paper cites Amb3r: Accurate feed-forward metric-scale 3d reconstruc- tion with backend.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Amb3r: Accurate feed-forward metric-scale 3d reconstruc- tion with backend

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.944238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:db63d819a9b4151fa762d4958f28707494b7cda92fd28bba65f981f50450cd95

Observation 5abb65f4-0592-46e6-857e-a3dc2c659df3 · outbound

This paper cites Vggt:Visualgeometrygroundedtransformer,in:Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Vggt:Visualgeometrygroundedtransformer,in:Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:1010ce555823fda69cafa2cee6db0aa51d3270410d8bb2e0fe1cbf58b2cdbc7e

Observation 65b8be9b-c055-4d82-a09a-e603b31593e8 · outbound

This paper cites VGGT-$\Omega$.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer VGGT-$\Omega$

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:06:16.919345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:0b94600c2bbbeb436b4486fa301b507115e1e74808b8e607b922db1b952f7f57

Observation 5ce4cd6b-2770-4b90-b8f6-86250eceae5e · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion, in: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Vggsfm: Visual geometry grounded deep structure from motion, in: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:5ed914f90f706a035696fcca3baa725e6a4d58d8e357950db30245ad76a3e287

Observation 36762155-430a-4493-a499-f4a2b13bdb1b · outbound

This paper cites Dust3r: Geometric 3d vision made easy, in: CVPR.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Dust3r: Geometric 3d vision made easy, in: CVPR

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:e6b076e312e44d0a224b432c4ab0812663468a8a187400dad3d131ef66061f72

Observation d09adeb5-0882-43ef-8f20-246c0eb0aa2a · outbound

This paper cites VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:06:16.921884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:26a94006287ef7e8be0a3337643b8a7d8de6332ec2d4727ebe0016cd52e5a3b5

Observation ae0a2682-bfe5-4654-838d-56fe6abc5c5e · outbound

This paper cites $\pi^3$: Permutation-Equivariant Visual Geometry Learning.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer $\pi^3$: Permutation-Equivariant Visual Geometry Learning

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:06:16.924386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:674fb23a9ede2c55f3c4f963cfc0e614ed8fc015c3467355e84dbabbba86d77a

Observation e82320c8-bf8e-470d-81ef-b270c8207ae3 · outbound

This paper cites Image qualityassessment:fromerrorvisibilitytostructuralsimilarity.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Image qualityassessment:fromerrorvisibilitytostructuralsimilarity

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:16e780b9d056fff6906c87c459b2810d17e3b1ab1b95eab920131d408b546bca

Observation 3b1e7ac9-023e-4fdb-8e31-7bcff8211496 · outbound

This paper cites Image qualityassessment:fromerrorvisibilitytostructuralsimilarity.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Image qualityassessment:fromerrorvisibilitytostructuralsimilarity

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:249b681af4a5eeb1373d71272a54d9c2882267ad56e1523c5a0148ed7a1b335b

Observation df14dc40-feba-40c7-ac4a-2b57da3db028 · outbound

This paper cites Nerf–: Neural radiance fields without known camera parameters.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Nerf–: Neural radiance fields without known camera parameters

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:f1f9dcd4fde1e8d42c51924deefb8e11ff3f70949c95ae6a46c3d0598c4662bb

Observation 84d0ca94-b49a-48e7-9956-847de4cddad2 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition (CVPR), pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer 4d gaussian splatting for real-time dynamic scene rendering,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition (CVPR), pp

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:e5e6c73ce1919d955e27c2df57b197338907581bb114df4300739412a1b41fdd

Observation 2eae4c4e-af33-4119-b144-d6c16d1513f0 · outbound

This paper cites Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.913636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:4fe2913a390cea3d39a91dbb7a9f3aa8453cc4e0b861391b56f24494bb1575a1

Observation 8fba2c6d-5f9b-44cb-a429-80f89be83e45 · outbound

This paper cites Point transformer v3: Simpler, faster, stronger, in: CVPR.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Point transformer v3: Simpler, faster, stronger, in: CVPR

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:5ca50b3129f266e705613c410172909e14952167452185d5241fd2ce3a883371

Observation 4eedb847-e50e-433e-a56f-4ba1d7cae9d1 · outbound

This paper cites Depthsplat: Connecting gaussian splatting and depth, in: CVPR.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Depthsplat: Connecting gaussian splatting and depth, in: CVPR

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:1e4b29e86910d12815523a0bc3fb8b36cbdfd6e0917f22e726e151b42d61ebd9

Observation d0811f41-739e-45a0-9836-0bb2117003f5 · outbound

This paper cites FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.916195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:4cf13f5c2eab56de1a0752262fd042d381069bcc6f8c6e00dc7303bf7c56408e

Observation 252fe1d5-97e3-4f28-b9ed-26016ff57925 · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Mvsnet: Depth inference for unstructured multi-view stereo

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:febb2171f0f167bab8029fe4f1a2185eb8dd41e529290ba9e639aa8b851246b1

Observation e38c99b2-ec6d-4a2b-b5ad-65f1c696c5c8 · outbound

This paper cites Yonosplat: You only need one model for feedforward 3d gaussian splatting.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Yonosplat: You only need one model for feedforward 3d gaussian splatting

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.910728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:825373ee94cd17ac8b81f6e81a72e645c2a524d01c2f8a803621c0d9eda18449

Observation 687dfbea-0a90-4e99-9b0f-9e4e1bd3efd6 · outbound

This paper cites arXiv preprint arXiv:2601.17835 (2026).

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer arXiv preprint arXiv:2601.17835 (2026)

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:06:16.927279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:d8307ea16e9bf4fa4ffd6b8f1462535156f1799432f58ba887b1c24e3aa2b73d

Observation c1f0e6a9-fcf2-4b6a-aa62-19d30aa4d267 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer The unreasonable effectiveness of deep features as a perceptual metric

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:4c1947fdbad5778e804165d1ac89fce5fbf132c14595740cf8db816ca7310307

Observation df9d5649-d18a-4826-b5e1-b6f8d631f2dd · outbound

This paper cites Applied Intelligence 55, 1118.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Applied Intelligence 55, 1118

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:3ea53a71d8381443c14c34a677e7b63042001773852901941ddd9a1340a2c3f1

Observation 0849dc9e-7273-45f6-a19e-3684cb7fff76 · outbound

This paper cites Voxel- splat: Dynamic gaussian splatting as an effective loss for occupancy and flow prediction, in: Proceedings of the Computer Vision and Pattern Recognition Conference, pp.

$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer Voxel- splat: Dynamic gaussian splatting as an effective loss for occupancy and flow prediction, in: Proceedings of the Computer Vision and Pattern Recognition Conference, pp

Reference 56

Resolution
unresolved
no resolver link, observed 2026-06-28T15:42:27.248927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:42:27.248927Z digest=sha256:d11d0ecd96f70dba5dc911e34de4824db3c137d4a09be7667212ec7706baab17

Pith citing papers

No inbound Pith citation observations are available.