Paper Citation Record · LEDGER

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction

As of 16 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2412.06234.

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

pith.paper-citation-record.v1
2412.06234 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

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measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:35:53.491714Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2accc3c-d4e0-4805-bd12-0bee7a736bfa · outbound

This paper cites Revising Densification in Gaussian Splatting.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Revising Densification in Gaussian Splatting

Reference 1

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Observation 30bd1eba-167e-426e-a787-33e4c84496e3 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Emerg- ing properties in self-supervised vision transformers

Reference 2

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Observation 64c69e50-698c-4233-bf60-fe04d2c0b870 · outbound

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

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 3

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Observation 9dce6b6d-86e3-4d19-884b-4e3ea5be19c0 · outbound

This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 4

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Observation 7dcec6c0-946e-4869-8e68-fdb09e8616f7 · outbound

This paper cites Lara: Efficient large-baseline radiance fields.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Lara: Efficient large-baseline radiance fields

Reference 5

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Observation 5cf84877-74e3-4bee-98e7-0a0932159476 · outbound

This paper cites MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views

Reference 6

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Observation 50ce3e49-e960-4a4a-97da-14e751360d1a · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 7

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Observation eaac3d85-7db2-4683-a056-05bd867af930 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Objaverse: A universe of annotated 3d objects

Reference 8

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Observation ca8c56ba-0bb6-49d3-bdd8-9733aabe4647 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Objaverse-xl: A universe of 10m+ 3d objects

Reference 9

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Observation 8df2e058-304f-43d2-b663-73d87d591609 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.823032Z

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Observation 5893d37d-b37b-40e0-9a05-d59c6f0d4ab9 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 11

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Observation e1393a14-7da5-4e3a-9bea-869fce8288a0 · outbound

This paper cites Large scale multi-view stereopsis evalu- ation.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Large scale multi-view stereopsis evalu- ation

Reference 12

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Observation 9d5131a0-c865-4b69-b018-0a860d283ff6 · outbound

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

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction 3d gaussian splatting for real-time radiance field rendering

Reference 13

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Observation c4eff81b-a854-45f9-a5ec-e61f5cf23be7 · outbound

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

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction 3D Gaussian Splatting as Markov Chain Monte Carlo

Reference 14

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Observation a3f05581-22d9-40b3-8033-3297c7d7c004 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Adam: A Method for Stochastic Optimization

Reference 15

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Observation 2b918577-27ec-4c95-b590-4e727860dbd4 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.777117Z

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Observation 521b2f28-eef8-4c5c-9ded-93ca8629cffd · outbound

This paper cites Infinite na- ture: Perpetual view generation of natural scenes from a sin- gle image.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Infinite na- ture: Perpetual view generation of natural scenes from a sin- gle image

Reference 17

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Observation f765fc91-34c8-4ee5-b5e8-c11695e4d617 · outbound

This paper cites Mvsgaussian: Fast generalizable gaussian splatting recon- struction from multi-view stereo.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Mvsgaussian: Fast generalizable gaussian splatting recon- struction from multi-view stereo

Reference 18

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Observation 9861bd76-4d13-43e2-88d1-5d82d545ec61 · outbound

This paper cites Decoupled Weight Decay Regularization.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Decoupled Weight Decay Regularization

Reference 19

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Observation ad5492a5-b13d-425b-8899-9878a67ee7ec · outbound

This paper cites Large point-to-gaussian model for image-to-3d generation.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Large point-to-gaussian model for image-to-3d generation

Reference 20

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Observation 701f2862-faa5-481c-85cf-d8a7ca5df264 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction DINOv2: Learning Robust Visual Features without Supervision

Reference 21

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Observation 9780056c-0f8a-4f5c-9ce9-4073e4bc7d5a · outbound

This paper cites Sur une courbe, qui remplit toute une aire plane.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Sur une courbe, qui remplit toute une aire plane

Reference 22

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Observation 1cf2d99a-e0b1-449f-b41d-f5b6279d33bc · outbound

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Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Scalable diffusion models with transformers

Reference 23

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Observation b19a1c5f-4317-426a-8707-d6b3cfadd77b · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 24

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Observation daa81360-9d43-4954-9286-22f0e350293d · outbound

This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 25

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Observation d1b3938b-8ce0-4c6d-b1b2-25b17ff7ef41 · outbound

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Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction MVDream: Multi-view Diffusion for 3D Generation

Reference 26

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Observation f21f040d-ab53-40ff-8269-d36d95bf6b1a · outbound

This paper cites Generalizable patch-based neural render- ing.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Generalizable patch-based neural render- ing

Reference 27

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Observation 6deab925-9114-4737-b1cb-5ab1441216d3 · outbound

This paper cites Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

Reference 28

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Observation 3d7e59fd-a6fd-4f1a-acc4-729e18afa08a · outbound

This paper cites Splatter image: Ultra-fast single-view 3d recon- struction.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Splatter image: Ultra-fast single-view 3d recon- struction

Reference 29

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Observation 46757648-50a6-4c32-a490-430c43ea5445 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.663125Z

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Observation 586401e6-dc9c-4ff3-aabd-14c47975e4c4 · outbound

This paper cites Point transformer v3: Simpler faster stronger.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Point transformer v3: Simpler faster stronger

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.651274Z

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Observation 11af7ab2-f16e-4323-b4d8-f37f43f2a8b9 · outbound

This paper cites Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer

Reference 32

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Observation ca5c2e95-c84c-49d2-9b09-38fdaf06c3fa · outbound

This paper cites G-buffer objaverse: High-quality rendering dataset of objaverse.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction G-buffer objaverse: High-quality rendering dataset of objaverse

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.627846Z

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Observation 8abdddac-3d9d-4227-bc6c-9a0d781c33c6 · outbound

This paper cites Murf: Multi-baseline radiance fields.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Murf: Multi-baseline radiance fields

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.615940Z

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Observation bcc3930b-be68-4cd4-b902-e053b8e33b9d · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction DepthSplat: Connecting Gaussian Splatting and Depth

Reference 35

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Observation 17c4f182-36a1-4225-8a43-cdc9e3d950af · outbound

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Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Understanding and improving layer normaliza- tion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.603570Z

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Observation 32f36e65-74d5-4329-8f1c-fd6beee37883 · outbound

This paper cites GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Reference 37

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Observation 4fbd3779-7ea5-418c-9283-661ed18ed42e · outbound

This paper cites Absgs: Recovering fine details in 3d gaussian splat- ting.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Absgs: Recovering fine details in 3d gaussian splat- ting

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.589863Z

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Observation eab97caf-f622-422a-bd8c-45a4fd7603e8 · outbound

This paper cites Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 39

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Source-reported events for the cited work

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Observation e4ac1991-a7ba-468c-9f8c-508256874fd5 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction pixelnerf: Neural radiance fields from one or few images

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.576871Z

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Observation 5a016e78-043b-4b88-8913-8bf07878e63d · outbound

This paper cites GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T19:57:29.304255Z

Source-reported events for the cited work

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Observation 0119824d-47bc-4f24-9f64-37a475c7f141 · outbound

This paper cites Gs-lrm: Large recon- struction model for 3d gaussian splatting.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Gs-lrm: Large recon- struction model for 3d gaussian splatting

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.564837Z

Source-reported events for the cited work

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Observation 3ac8e208-13e0-43f0-99e4-43b985aee20e · outbound

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

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction The unreasonable effectiveness of deep features as a perceptual metric

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.552887Z

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Observation 11fb40e9-4d41-49f2-aacf-21f12958e7e1 · outbound

This paper cites Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T19:57:29.316574Z

Source-reported events for the cited work

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Observation 757c87e6-659f-46a9-a437-ade8ebfd5868 · outbound

This paper cites Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.541034Z

Source-reported events for the cited work

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Observation 0cddceff-0f9c-486c-8d62-8c8576650cd5 · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 46

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Source-reported events for the cited work

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Observation 8a80c637-4618-49b2-bb70-d04b28934e37 · outbound

This paper cites 3K” and “4K.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction 3K” and “4K

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:57:29.527083Z

Source-reported events for the cited work

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Pith citing papers

Observation 6895d6bb-238e-42db-a94b-d5e1c499e762 · inbound

AdaptiveSplat:Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction cites this paper.

AdaptiveSplat:Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction

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