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Paper Citation Record · LEDGER

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2509.11116.

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

pith.paper-citation-record.v1
2509.11116 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:08:48.870496Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 8f6ad4f1-df1d-4aba-85c1-4556df0c6b10 · outbound

This paper cites Triangle Splatting for Real-Time Radiance Field Rendering.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Triangle Splatting for Real-Time Radiance Field Rendering

Reference 1

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Observation b4669b41-4c05-4906-a899-92769de49c92 · outbound

This paper cites A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

Reference 2

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Observation 49cf30b7-cff2-4c36-abf3-559cb8d5def1 · outbound

This paper cites 3d convex splatting: Radiance field rendering with 3d smooth convexes,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting 3d convex splatting: Radiance field rendering with 3d smooth convexes,

Reference 3

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Observation 6e9725d1-aeee-42ff-bab9-e2260f6a8d67 · outbound

This paper cites Linprim: Linear primitives for differentiable volumetric rendering,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Linprim: Linear primitives for differentiable volumetric rendering,

Reference 4

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source=pdf_text observed=2026-08-04T17:08:43.548762Z digest=sha256:77de098df457f0728c07c8736187b7f3a0fed2164b53daf3514f5d3d3cc3d18a

Observation 7a79b20e-dc1c-4b15-9744-611e0d44cd2b · outbound

This paper cites Arbitrary-scale 3d gaussian super- resolution,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Arbitrary-scale 3d gaussian super- resolution,

Reference 5

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source=pdf_text observed=2026-08-04T17:08:43.674151Z digest=sha256:2a193bf1617d18ef4bac844e31d65006f6234425bb0a9fd8eb4f2fe4f683332b

Observation 08a9bc12-7a5a-4534-9f0f-b94e9378fa1c · outbound

This paper cites Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis,

Reference 6

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Observation 50a93ba1-d114-4484-bd3c-8735b1105c2d · outbound

This paper cites Gs-planner: A gaussian-splatting-based planning framework for active high-fidelity reconstruction,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Gs-planner: A gaussian-splatting-based planning framework for active high-fidelity reconstruction,

Reference 7

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source=pdf_text observed=2026-08-04T17:08:43.930043Z digest=sha256:21e0d9eb3d425417301319a620fdcf2b05fc1612a86c109287cf140aac5d9b9a

Observation bcbfb14c-c499-4459-bcf1-e18ccb11f353 · outbound

This paper cites Hgs-mapping: Online dense mapping using hybrid gaus- sian representation in urban scenes,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Hgs-mapping: Online dense mapping using hybrid gaus- sian representation in urban scenes,

Reference 8

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source=pdf_text observed=2026-08-04T17:08:44.077206Z digest=sha256:8a733a2e1a438a8d944ff726c2ebd58338b78d659aab654e3abd1fc7b35fb160

Observation cf507773-56e0-42c9-a732-0534d348c4f7 · outbound

This paper cites Gaussiangrasper: 3d language gaussian splatting for open-vocabulary robotic grasping,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Gaussiangrasper: 3d language gaussian splatting for open-vocabulary robotic grasping,

Reference 9

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source=pdf_text observed=2026-08-04T17:08:44.231034Z digest=sha256:0cdb0cd0d5bae4df833e6c1cfb3ae6c34e9f8f587f0a263886887cfbda4684f0

Observation 00c57eb0-b36d-4d80-83c0-740f5be1a842 · outbound

This paper cites Egolifter: Open-world 3d segmentation for egocentric perception,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Egolifter: Open-world 3d segmentation for egocentric perception,

Reference 10

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source=pdf_text observed=2026-08-04T17:08:44.357302Z digest=sha256:af51de5e380d2e16006de33517f00357d8c2c95978000a218bef844be0922567

Observation 097105b8-6414-4f9f-976d-84ea39c844db · outbound

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

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 11

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source=pdf_text observed=2026-08-04T17:08:44.474891Z digest=sha256:284cb140e257249627134a3f4068bc48d01ad0af077174c6ab9e7ef7a392fc55

Observation ca20456d-e3b4-4b9b-b41c-9dfb762cb3c3 · outbound

This paper cites Frugalnerf: Fast convergence for extreme few-shot novel view synthesis without learned priors,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Frugalnerf: Fast convergence for extreme few-shot novel view synthesis without learned priors,

Reference 12

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source=pdf_text observed=2026-08-04T17:08:44.657134Z digest=sha256:83d6d35074ce4e65d86afe90fcafebb4492fc731fd0911c9e8658bc6ceea4514

Observation 69407caf-b185-4576-8e26-28d97257be08 · outbound

This paper cites E2nerf: Event enhanced neural radiance fields from blurry images,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting E2nerf: Event enhanced neural radiance fields from blurry images,

Reference 13

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source=pdf_text observed=2026-08-04T17:08:44.848817Z digest=sha256:99f88ced20e7bf3ce54ed0a86240c3fa66537ed9166a199a12283e6616eeacb4

Observation 4cdd51bb-09d8-4999-9ee5-a1308d583bb4 · outbound

This paper cites LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes

Reference 14

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source=pdf_text observed=2026-08-04T17:08:45.020646Z digest=sha256:37420517b35419250db768416e3d5b7dc8c3a4798d45d6dcae0935f8f633514f

Observation 01fe4c17-45d6-401f-bad1-408eb96528c8 · outbound

This paper cites Object-aware gaussian splatting for robotic manipulation,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Object-aware gaussian splatting for robotic manipulation,

Reference 15

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source=pdf_text observed=2026-08-04T17:08:45.123519Z digest=sha256:9ad381605e1a9a3b14e1979ea05c2eaad717f093d059d74ccb769f65131d2e36

Observation a45af9a2-5092-4fef-88e1-3f0997336f70 · outbound

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

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 16

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source=pdf_text observed=2026-08-04T17:08:45.268355Z digest=sha256:6d13734adb771b5129b12a5143a27d8f6ace5df72df24e8cdd3c69d64ea8df83

Observation 874ff116-6f13-48fc-9dc4-17374d0afb3b · outbound

This paper cites 3D Gaussian Splatting in Robotics: A Survey.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting 3D Gaussian Splatting in Robotics: A Survey

Reference 17

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source=pdf_text observed=2026-08-04T17:08:45.383749Z digest=sha256:03cdf7ac463fa1a6e702b5fa825a1dc59dfa329a50193547299fbbbd5ff1ef84

Observation 333145e4-d0c3-4b2c-93d9-15822ee479ee · outbound

This paper cites Dreamdrive: Generative 4d scene modeling from street view images,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Dreamdrive: Generative 4d scene modeling from street view images,

Reference 18

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Observation 799c135a-cf2d-43e7-be98-7cf39211dccf · outbound

This paper cites Spotlesssplats: Ignoring distractors in 3d gaussian splatting,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Spotlesssplats: Ignoring distractors in 3d gaussian splatting,

Reference 19

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source=pdf_text observed=2026-08-04T17:08:45.575973Z digest=sha256:d503a2e4af6c6fa24a7e679c70bd0ce55b83c03d163a701ef1ea5d2adb43cd64

Observation 4d205f14-52fd-4973-92b6-ff56887a9c02 · outbound

This paper cites Mini-splatting: Representing scenes with a constrained number of gaussians,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Mini-splatting: Representing scenes with a constrained number of gaussians,

Reference 20

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Observation aa14f047-628c-4739-a18f-7b19d5fc2757 · outbound

This paper cites Cob-gs: Clear object boundaries in 3dgs segmentation based on boundary-adaptive gaussian splitting,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Cob-gs: Clear object boundaries in 3dgs segmentation based on boundary-adaptive gaussian splitting,

Reference 21

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Observation 8337ff15-cb3f-48ae-a0c9-2efb187da336 · outbound

This paper cites Enliveninggs: Ac- tive locomotion of 3dgs,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Enliveninggs: Ac- tive locomotion of 3dgs,

Reference 22

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Observation da22a054-aab6-4421-a6e0-05bbe7955939 · outbound

This paper cites High-fidelity slam using gaussian splatting with rendering-guided densification and regularized optimization,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting High-fidelity slam using gaussian splatting with rendering-guided densification and regularized optimization,

Reference 23

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Observation 66660589-0bbd-42fd-a700-61231a4e2ef0 · outbound

This paper cites Gaussianroom: Improving 3d gaussian splatting with sdf guidance and monocular cues for indoor scene reconstruction,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Gaussianroom: Improving 3d gaussian splatting with sdf guidance and monocular cues for indoor scene reconstruction,

Reference 24

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Observation 2f248c11-34a5-4c26-9584-5d415a12f13a · outbound

This paper cites Compressed 3d gaussian splatting for accelerated novel view synthesis,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Compressed 3d gaussian splatting for accelerated novel view synthesis,

Reference 25

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source=pdf_text observed=2026-08-04T17:08:46.569009Z digest=sha256:d9d788bd51971fb3d78ef95cd63ae550352c34b06cabca1a7f1f945c1fcb3018

Observation 4755a8e1-a4fd-4e84-925f-5b45254e9f1b · outbound

This paper cites Contextgs: Compact 3d gaussian splatting with anchor level context model,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Contextgs: Compact 3d gaussian splatting with anchor level context model,

Reference 26

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source=pdf_text observed=2026-08-04T17:08:46.650113Z digest=sha256:17c2f1a2eefdf3ebf8d50b3f59b477c1737f514b3478f222773b18921fd2dc7c

Observation de5764f2-ef0a-4b30-97e6-0a659575d79f · outbound

This paper cites Compact 3d scene representation via self-organizing gaussian grids,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Compact 3d scene representation via self-organizing gaussian grids,

Reference 27

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source=pdf_text observed=2026-08-04T17:08:46.755356Z digest=sha256:782b34e8116bb04d8d5b4c77e5c942292b8f493b12bcf2cef8369c44df55f3a0

Observation 231d9052-4fb7-4aa5-9ee4-19d1b647ff0a · outbound

This paper cites Radsplat: Radiance field-informed gaussian splatting for robust real- time rendering with 900+ fps,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Radsplat: Radiance field-informed gaussian splatting for robust real- time rendering with 900+ fps,

Reference 28

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source=pdf_text observed=2026-08-04T17:08:46.835443Z digest=sha256:bef87288371d35cce42b1cf292c4b0641d04ab36cbcaa0169be55a64b3c4597a

Observation 3ad2ff7a-9d7f-4071-92d6-2308097f9b26 · outbound

This paper cites Lp-3dgs: Learning to prune 3d gaussian splatting,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Lp-3dgs: Learning to prune 3d gaussian splatting,

Reference 30

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source=pdf_text observed=2026-08-04T17:08:47.100987Z digest=sha256:997ae31a192fbb84e48187a9ca723758fc88e0ba4787cee5396c38e608b7291b

Observation 49a88447-60fb-432d-91df-0c0b4ca75e3d · outbound

This paper cites Compact 3d gaussian representation for radiance field,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Compact 3d gaussian representation for radiance field,

Reference 31

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Observation c502f7e8-051c-4c3d-86af-3a782e0fc72e · outbound

This paper cites End-to-end rate-distortion optimized 3d gaussian representation,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting End-to-end rate-distortion optimized 3d gaussian representation,

Reference 32

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source=pdf_text observed=2026-08-04T17:08:47.336314Z digest=sha256:c5fd5babad30a3230db70f8144db7d25d31b932c7859caed7e6a3204fb51d5c3

Observation debc0081-9b4d-4795-ac3c-4a1e7e517a47 · outbound

This paper cites Light- gaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Light- gaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps,

Reference 33

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Observation d92955e5-5ff8-44ac-a763-afdd2c1223b2 · outbound

This paper cites Efficientgs: Streamlining gaussian splatting for large-scale high-resolution scene representation,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Efficientgs: Streamlining gaussian splatting for large-scale high-resolution scene representation,

Reference 34

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Observation 355b122c-0030-402f-b3b9-8ee091949428 · outbound

This paper cites Reducing the memory footprint of 3d gaussian splatting,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Reducing the memory footprint of 3d gaussian splatting,

Reference 35

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Observation 4aa8b4ed-70c4-4186-ae95-dc0dfa4ea374 · outbound

This paper cites Pup 3d-gs: Principled uncertainty pruning for 3d gaussian splatting,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Pup 3d-gs: Principled uncertainty pruning for 3d gaussian splatting,

Reference 36

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source=pdf_text observed=2026-08-04T17:08:47.752111Z digest=sha256:ff21c5ca627ff4feeb019bc8af33a7cf0a0900ad40cfc6a622b5329facbf4567

Observation dc71d909-d480-4714-a989-1dc9ddecee72 · outbound

This paper cites Taming 3dgs: High-quality radiance fields with limited resources,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Taming 3dgs: High-quality radiance fields with limited resources,

Reference 37

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Observation a8456061-239c-4f9d-a9c5-099811b90168 · outbound

This paper cites On reducing the number of gaussians for radiance field real-time rendering,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting On reducing the number of gaussians for radiance field real-time rendering,

Reference 38

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source=pdf_text observed=2026-08-04T17:08:47.945516Z digest=sha256:4c9f06de91e54f30cc9443aabafb06c8141a256e288b322a120cfb7cf336ae28

Observation 41d9f107-1818-4d9b-bbd3-6fa0f6b16bad · outbound

This paper cites Maskgaussian: Adaptive 3d gaussian representation from probabilistic masks,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Maskgaussian: Adaptive 3d gaussian representation from probabilistic masks,

Reference 39

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source=pdf_text observed=2026-08-04T17:08:48.051512Z digest=sha256:82001e1d5030895e9c7e73cf3a25e9c30e9d1212e50632ae4dc0b2cfc50a9006

Observation 42cad77f-fabe-446d-ab57-a6ea4b5f7b84 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Categorical Reparameterization with Gumbel-Softmax

Reference 40

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source=pdf_text observed=2026-08-04T17:08:48.227923Z digest=sha256:30c240cebd62fcf5bef1c95a54d2955c95df7d36ff8c53880e2a61320951f27b

Observation 7e1909fc-3839-4008-9632-0b6ca1f46aa2 · outbound

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

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Tanks and temples: benchmarking large-scale scene reconstruction,

Reference 41

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source=pdf_text observed=2026-08-04T17:08:48.318640Z digest=sha256:ed77c0202a2a26322bd13615f9a9ebe59d23c3c11b2780e1196143f4de3684fc

Observation 26d6b107-4f71-47f1-b45c-f4cfbd0af810 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Deep blending for free-viewpoint image-based rendering,

Reference 42

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source=pdf_text observed=2026-08-04T17:08:48.451893Z digest=sha256:19fbed84d0a8ecd9b8f34e4490cda2e603e77ed88afdb9ce70ebd2fc9c41fb97

Observation 0230cef3-bd9b-4bcc-8a84-39a7f0cb8cd4 · outbound

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

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 43

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source=pdf_text observed=2026-08-04T17:08:48.547883Z digest=sha256:482d65d0b3b80bdc7ebe64529d852f24426b8784d53cf5d2df84b954d1411ff0

Observation c5ef3a9c-d1ec-4a25-bbd8-7e54ed6062fe · outbound

This paper cites Image quality metrics: Psnr vs. ssim,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Image quality metrics: Psnr vs. ssim,

Reference 44

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Observation 33a86567-641a-4b42-8b91-7a057d47f72f · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting Image quality assessment: from error visibility to structural similarity,

Reference 45

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source=pdf_text observed=2026-08-04T17:08:48.735871Z digest=sha256:10ba896a1dd0fd8df233e318bb9f8942eeb26a0d67b5e045e86e644b77e34177

Observation b63f8033-ca5a-46a7-8a3e-dd19ca84ebf6 · outbound

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

SVR-GS: Spatially Variant Regularization for Probabilistic Masks in 3D Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric,

Reference 46

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Pith citing papers

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