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Paper Citation Record · LEDGER

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields

As of 5 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2412.13547.

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

pith.paper-citation-record.v1
2412.13547 v3

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T07:14:19.851030Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:47:44.414663Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:47:44.945301Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact15
  • verified fuzzy35
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bed4604-bdf6-429a-bcb4-201f90c05940 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:8e1a0de452bf57e7f5df9e96e38bdfed6c60bff60e7fcd4ca6ff66c23c31ab67

Observation a6ce2d33-0107-4f5c-8426-9004276c8237 · outbound

This paper cites Pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.335673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:d5dfa70b6abcaec24238779bae4f53f71d731fda166687965cc951bf3c99be2e

Observation e86bef68-ae57-427d-9d99-fca6d3cd07b5 · outbound

This paper cites Tensorf: Tensorial radiance fields.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Tensorf: Tensorial radiance fields

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.339173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:51c985100b59726146e72ce353d250b3d51485a1fbc0023988b1793739b43858

Observation 4bb2f6ab-8633-4c39-a786-120b1669f40d · outbound

This paper cites LaRa: Efficient Large-Baseline Radiance Fields.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields LaRa: Efficient Large-Baseline Radiance Fields

Reference 4

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verified exact
arxiv_id, observed 2026-05-23T07:15:28.572046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:28722cfe04f5ac701d95cb7d2b4010924cb5d127875a895188579cbea4f6c34b

Observation edaee82c-7289-4956-a12e-0a4b2bc9ef01 · outbound

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

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.563509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:4db8bc9d27793bd6bbf6db852a86bfdd3d7a36894e5114687aecb8da246e2a2b

Observation d67eff18-0a10-4066-b73d-5ebc6cc9c131 · outbound

This paper cites Graspnerf: Multiview-based 6-dof grasp detection for transparent and specular objects using gener- alizable nerf.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Graspnerf: Multiview-based 6-dof grasp detection for transparent and specular objects using gener- alizable nerf

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:b9f348304b8e1a1b0e5185e471655ab3685f7512b904e69c693a5b0d8f28aec5

Observation 0902c801-f313-4dd2-baae-87bddb379601 · outbound

This paper cites Fov-nerf: Foveated neural radiance fields for virtual reality.IEEE Transactions on Visualization and Computer Graphics, 28(11):3854–3864.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Fov-nerf: Foveated neural radiance fields for virtual reality.IEEE Transactions on Visualization and Computer Graphics, 28(11):3854–3864

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:869e98f58400fd9b1e064ef3b94d9c46a377fdd6e3cda5c1923cc0b224f4615e

Observation 97b16237-b0e7-4729-aadd-8ccbf5a09849 · outbound

This paper cites DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines

Reference 8

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verified exact
arxiv_id, observed 2026-05-23T07:15:28.596298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:0f1c367363b598f34c29636e49c434b1c23adb6d0e072e6e73eb1f8ecd33212c

Observation de2db59c-da0e-4a5d-bfaf-57ed0fb6af7e · outbound

This paper cites LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.554101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:e68b23cd28eee1f7d70c479772987a8b1fd3bd5994ab4ee9e991fb591b06510a

Observation 6bfe9e6a-99f8-43a5-b1a2-0c337b4e50b8 · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 10

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arxiv_id, observed 2026-05-23T07:15:28.612701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:a87028393fcdb183176a374e8d8b58f103a94dcdb8a73169ba7f5a83807dd3e4

Observation d586c9ad-1e60-4c01-855d-d45d29aecb4f · outbound

This paper cites Instantsplat: Unbounded sparse-view pose-free gaus- sian splatting in 40 seconds.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Instantsplat: Unbounded sparse-view pose-free gaus- sian splatting in 40 seconds

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.318888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:f3e1bfd75ddb2f9f9ca010547176c718ce7ae7e605e06b855edb882ccd032387

Observation 2045c426-513d-43dd-bd8b-46b9c39a3307 · outbound

This paper cites Mini-splatting: Represent- ing scenes with a constrained number of gaussians.Euro- pean Conference on Computer Vision.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Mini-splatting: Represent- ing scenes with a constrained number of gaussians.Euro- pean Conference on Computer Vision

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:98733098593b1a8cda8184bd66f6a382fff80104f884b1d77096dd66dd8d1b37

Observation 0cee0842-2ab6-459c-9675-7b633ff7e582 · outbound

This paper cites FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering

Reference 13

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verified exact
arxiv_id, observed 2026-05-23T07:15:28.567722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:20e69558fdb3fabbb8c794b16ce0051f4efcf86914ed65ac5441bbcedf55eaa8

Observation 8ef17e91-7f57-4c38-82a8-faf4fd93d4f3 · outbound

This paper cites Evaluating alternatives to sfm point cloud ini- tialization for gaussian splatting.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Evaluating alternatives to sfm point cloud ini- tialization for gaussian splatting

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:ea12083674a3f28622a97a06d502722e7e25fdbdaa28b4e93ac5b04261d08184

Observation d4275ef0-6364-4474-8431-1bb2e28437ff · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Plenoxels: Radiance fields without neural networks

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 886ce26f-3f37-4be1-9dcb-75cb16218da7 · outbound

This paper cites Ea- gles: Efficient accelerated 3d gaussians with lightweight en- codings.European Conference on Computer Vision.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Ea- gles: Efficient accelerated 3d gaussians with lightweight en- codings.European Conference on Computer Vision

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:baca7088216834830c8e9acab4c6205dc3969d3d0919497be56e6bc1afe4ebe3

Observation 97a00035-fb16-4c9d-989c-76567bdd0604 · outbound

This paper cites an unresolved cited work.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Unresolved cited work

Reference 17

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:67493299aa663b757535b592c98d0b0f4a51cfe08502d225c5bb1acdb69de66a

Observation adb7b42a-4f63-48a0-aa15-b7c14c798acf · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.306723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:f4d955c403264a7cd580cb551de26c7a7ced7375eb43ef55985eb01153873380

Observation 76111073-ab81-4252-bdf8-c3aa1863ac55 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (ToG), 37(6):1–15.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (ToG), 37(6):1–15

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:f5edd9a37e268b65c88df034b93d12642a84ce55e6c7796d5e2c5a322a6a3558

Observation 9e3e707a-8eeb-446d-824e-474a3c53af50 · outbound

This paper cites 3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields 3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

Reference 20

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verified exact
arxiv_id, observed 2026-05-23T07:15:28.539017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:a8496916b9a7021c574e0b782f9b219e234c6f2a5d34134b846cbbb475d3120a

Observation 38600835-1362-447d-868f-1e86093bcad3 · outbound

This paper cites 2D Gaussian Splatting for Geometrically Accurate Radiance Fields.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.586153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:835cccb82cc657e0d1c72698b859423a3d4a981ad68048af214b42e1236b4050

Observation 830f50b9-b7b1-4cd4-a9bc-f6d71f0dd09d · outbound

This paper cites Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.607653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:12638bfe07c5c9806ce23c5f1993d03524c8dad6178bd2e12947eb5c5ce4b8c7

Observation 3b430d50-91b1-4246-a353-e6443fc2362f · outbound

This paper cites Relu fields: The little non-linearity that could.ACM SIGGRAPH 2022 Conference Proceedings.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Relu fields: The little non-linearity that could.ACM SIGGRAPH 2022 Conference Proceedings

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:43da00792406cea9f3da0fb27198bfefc5f0f6d90d438dfd8a8dfb18be4ba403

Observation ee5bf2ca-0e7c-4761-9e99-a5df58c74255 · outbound

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

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.290990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:e35adfa6e5af2a718e9b5d4c20bc770f3cfdaeda1c396e886c7b765bc6ca35f6

Observation cb7d0c86-a3fb-4676-af8f-1eb162cf385b · outbound

This paper cites A hierarchical 3d gaussian representation for real-time ren- dering of very large datasets.ACM Trans.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields A hierarchical 3d gaussian representation for real-time ren- dering of very large datasets.ACM Trans

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.293944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:5393d934745fe4be8ca760cf77f39b1dad852fb097a146eb6721f97161ddd1c1

Observation 63969225-b775-477e-aca9-2a0722f3c4ff · outbound

This paper cites 3D Gaussian Splatting as Markov Chain Monte Carlo.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields 3D Gaussian Splatting as Markov Chain Monte Carlo

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.548915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:e0cb066b60dc19928fc7dcc1795ac77c48825204c5d22561ecde3986e5c345e1

Observation 29c327ec-f36d-429d-8e9b-892882337301 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36 (4):1–13

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.284007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:5c286398c59cbdbd3b7175a50fd2692a08029293f58ffe56fc44bc526c78dd1f

Observation 5e48fca0-f05b-478e-a9fe-e5195c920a28 · outbound

This paper cites Scaling laws for diffusion transformers.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Scaling laws for diffusion transformers

Reference 28

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verified exact
arxiv_id, observed 2026-05-23T07:15:28.544150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:056cc979d1ba42ba89b3fcdd69118a1a16921e3fd83a63d3279e2b04d4897473

Observation d26b8324-d019-4431-beb8-694aaf6999fb · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.287537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:edb2d5db689ad46f6d6b1d85abc35da0dee044a9a5746c6a7df871a0d509a197

Observation 1c142a02-5579-48f7-b4ff-d925ad156a51 · outbound

This paper cites Taming 3dgs: High-quality radiance fields with limited re- sources.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Taming 3dgs: High-quality radiance fields with limited re- sources

Reference 30

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raw_fallback, observed 2026-05-23T07:15:29.297001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:6f1cdd8e755a2c0c691e4993059d3aa58e06f5ed556c7732fe14a31a7ce4d93a

Observation b3a54688-7082-4793-a1de-2ad79e36b4ac · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Srinivasan, Matthew Tancik, Jonathan T

Reference 31

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raw_fallback, observed 2026-05-23T07:15:29.342640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:8e0a377345068d7e315835ca0934067234f4120428bf3cde3c0f4c6d397cd61e

Observation f340c91d-a7c8-49af-9d7b-bb6da5301334 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM Transactions on Graphics (TOG), 41:1 – 15.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM Transactions on Graphics (TOG), 41:1 – 15

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.328498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:52102ebd31390bb8bc1d4d820155c585f89fb7914587100262634dde90d8a0e2

Observation 6f4a446c-727e-45c2-a409-09f5d2ef3760 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.273967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:742724c5f28a16326a08715eff2f332fcb977c4586829fbddb3b24f77be06cd7

Observation 874ff234-3dee-4772-8c09-0281f0a76f98 · outbound

This paper cites an unresolved cited work.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-23T07:15:29.267870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:f6f5e02da6751ee57feb88e91b27b007c933a0c81aa4dc7d77985869750d6a6a

Observation e599a252-9f31-4ff6-8104-5786a9d7c8e5 · outbound

This paper cites CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.591201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:1b5a06fa51c988e065115aede456e7315ae9fb9f6bf92e75ee99ce4fd600a5a2

Observation 753c85fe-3aed-44b5-8bda-d277eb29d36f · outbound

This paper cites Reducing the memory footprint of 3d gaussian splatting.Proceedings of the ACM on Computer Graphics and Interactive Tech- niques, 7:1 – 17.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Reducing the memory footprint of 3d gaussian splatting.Proceedings of the ACM on Computer Graphics and Interactive Tech- niques, 7:1 – 17

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.264968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:c3ffe180582a41f46ebd52cd36f62cc49fdab256127c805802adfd1b8b03d0fb

Observation 7ca46f8d-169c-448d-8ea6-7559c9664783 · outbound

This paper cites Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.558657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:e7b46d4b8228bd1aeb5ed4a83554436270ff340d8c01552382cff7f8ccc3c75d

Observation a77d9ce4-00d6-45d0-99c6-615a1b2ebc37 · outbound

This paper cites Pixelwise View Selection for Un- structured Multi-View Stereo.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Pixelwise View Selection for Un- structured Multi-View Stereo

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.270844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:d9b4900152fd3034aee73ab7453b2a972e4fa130290d4e459c6d9f6a503da1b2

Observation ba94bb9e-2257-49c7-b09d-6c67f9e9e0ad · outbound

This paper cites an unresolved cited work.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-23T07:15:29.276860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:b3b6a56f57edead0b0c08451d2d266a825db02f823d2fbfa80bbf331afa585da

Observation d8907b44-ee30-4d9f-bf2b-8855b92c6295 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.258181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:991af278e1c71018f3381d117352d78901eeeb6624508fd3f2a18439d4a4aae9

Observation 27c9da06-bcdf-4b21-bd18-e855d7323688 · outbound

This paper cites Grid-guided neural radiance fields for large urban scenes.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Grid-guided neural radiance fields for large urban scenes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.258802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:70e644a4c37954304cbbe8a0716dc8c28d5024b4d7f3ecc4f218f6e936e8fd69

Observation 5d3f1a7d-7eaf-4d25-aaeb-e868e17b8208 · outbound

This paper cites Point-nerf: Point- based neural radiance fields.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5428–5438.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Point-nerf: Point- based neural radiance fields.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5428–5438

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.322277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:bf03a8bf8a5b8a890391a7a5f19e2268fc81819d20fd949082d55d36b785069b

Observation a04d5da7-d64b-4114-b55c-3c907c381346 · outbound

This paper cites Bakedsdf: Meshing neural sdfs for real- time view synthesis.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Bakedsdf: Meshing neural sdfs for real- time view synthesis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.245258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:3fe4ca5c6eb17008ba86d616991a1fccb098b1d37b3ed2bf1b9d9b7c1b74d6f4

Observation faee4be1-6fc0-4e87-b69a-feebbd17f389 · outbound

This paper cites gsplat: An Open-Source Library for Gaussian Splatting.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields gsplat: An Open-Source Library for Gaussian Splatting

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.601751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:0ec66a5365bda2afeb641aef4c6760e2ebe3f6da18d538f76f58662ff2952c1a

Observation 2a873673-bc14-46e5-bf46-a4a302d3f477 · outbound

This paper cites Plenoctrees for real-time rendering of neural radiance fields.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Plenoctrees for real-time rendering of neural radiance fields

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.251306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:5f527de7fa3197aede2ca0b95beb8c08e40a84601663c166b207ef0ae5d8c8c6

Observation 85d6c117-cb53-4e3c-81f3-2256b8cea3e8 · outbound

This paper cites GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.577004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:b0524db37dce18b7bf5928402acbc811712c2c425adde5e23ba737eb1d5426c4

Observation 9591b850-b33e-4713-84c8-c1a6fc37f382 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splat- ting.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 19447–19456.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Mip-splatting: Alias-free 3d gaussian splat- ting.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 19447–19456

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.248571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:d625c937dd12e41134af655107ec6c128ea1fc51a6aacd1c1e2091a09d637052

Observation 7ddccdd7-27ca-4e73-9d21-e6623083df46 · outbound

This paper cites Gnfactor: Multi-task real robot learning with generalizable neural feature fields.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Gnfactor: Multi-task real robot learning with generalizable neural feature fields

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.251559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:78e6996f579ce9baa24088c39a39b6865dad18b08706711519e0887336a1d5b8

Observation caef95cc-53ab-4092-b0e4-454dd99430b9 · outbound

This paper cites GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.581817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:85ede6e760cb0eb4babefed5dd3628aedb45ab757bc2124d18022b450509a97e

Observation 29f2308e-c3a2-473a-8dd8-b361d32e7de6 · outbound

This paper cites Gs-lrm: Large recon- struction model for 3d gaussian splatting.European Confer- ence on Computer Vision.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Gs-lrm: Large recon- struction model for 3d gaussian splatting.European Confer- ence on Computer Vision

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.238927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:16e026d79c3847bb058352ad8482050f2eda3100bdc29318458729b8f62ca20c

Observation f5af6398-6e18-496d-ba74-a79ef8c5055f · outbound

This paper cites The unreasonable effectiveness of 10 deep features as a perceptual metric.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields The unreasonable effectiveness of 10 deep features as a perceptual metric

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.261804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:29671d9a7ee139f375e5c1c049aad90cf2a9d3fd24b78851b2bbc109483eb452

Observation 4944b8f0-e7d0-4ca4-8dee-0a492ad092dd · outbound

This paper cites Long-lrm: Long- sequence large reconstruction model for wide-coverage gaussian splats.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Long-lrm: Long- sequence large reconstruction model for wide-coverage gaussian splats

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.280379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:ae31848319a37d742e31347b45afc6068da5d3774ac2f16eaa0739622d71450c

Observation 168e323f-fbcc-415d-8268-26b9ba77adaa · outbound

This paper cites More Implementation Details For all the dataset with a resolution below 4K, we train it for10kiterations.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields More Implementation Details For all the dataset with a resolution below 4K, we train it for10kiterations

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.329050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:2237526e227675c1ec9bf5c06ba3d9a1c7d8320281670c90d498be853e11a87c

Observation 1c04dbe2-2f91-4b26-ab3d-0548d78c64f5 · outbound

This paper cites Number of primitives vs Step.

Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields Number of primitives vs Step

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T07:15:29.233197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T07:14:19.851030Z digest=sha256:c95225cbaf572db0ded94e88768e6f17ee457f46523b8e9644d6c1adc47f63bf

Pith citing papers

Observation 08ad38ff-5c04-4632-8a1d-003ca6557ff2 · inbound

ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction cites this paper.

ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:47:44.950861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-05T10:47:44.414663Z digest=sha256:4d17e72d23ca2fe71f2a14d85b0f43265e6905509140399f69025f7c66c986af