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Paper Citation Record · LEDGER

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2512.09925.

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

pith.paper-citation-record.v1
2512.09925 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:22:26.394732Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:26:19.370931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:07:38.832460Z

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dde75983-21c9-486b-bfdc-43ab6400e885 · outbound

This paper cites Physically-based shading at disney.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Physically-based shading at disney

Reference 1

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Observation c128ed9e-99e3-4561-aa7f-59d8d3a7c898 · outbound

This paper cites Lifting by gaussians: A simple, fast and flexible method for 3d instance segmentation.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Lifting by gaussians: A simple, fast and flexible method for 3d instance segmentation

Reference 2

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source=pdf_text observed=2026-08-03T17:22:21.887566Z digest=sha256:5aa9041aa3041732c70c4dfb78182ed4ab6b71f7dbf9ab7db18f63df7f73a8c9

Observation 8db3f18e-9e84-43a4-8ea1-3504ee3e3909 · outbound

This paper cites Gi-gs: Global illumination decomposition on gaussian splatting for inverse rendering.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Gi-gs: Global illumination decomposition on gaussian splatting for inverse rendering

Reference 3

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Observation 41fcbd78-8f90-4591-ad80-69119ef9d13d · outbound

This paper cites Estimating surface reflectance properties of a complex scene under cap- tured natural illumination.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Estimating surface reflectance properties of a complex scene under cap- tured natural illumination

Reference 4

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source=pdf_text observed=2026-08-03T17:22:22.005413Z digest=sha256:5791ea1d081eac52707ecd37e5ab16c1d188db03b2f6555e84f76514c9b22ffa

Observation 5168291c-5445-48be-9593-f6376f04566c · outbound

This paper cites IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracing, 2025.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracing, 2025

Reference 5

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source=pdf_text observed=2026-08-03T17:22:22.050396Z digest=sha256:9518926727ac9b6b830763cd0441e423a7a9de01fede0df3bb27fe0d9ecc56fd

Observation a85732f3-0f72-44b2-9fee-89b3972d8fd0 · outbound

This paper cites Shape, Light, and Material Decomposition from Images us- ing Monte Carlo Rendering and Denoising.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Shape, Light, and Material Decomposition from Images us- ing Monte Carlo Rendering and Denoising

Reference 6

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source=pdf_text observed=2026-08-03T17:22:22.101800Z digest=sha256:4110b81d8ab6ea244a19111d5e28fb3df45c7678c000fce41aa9cdafc9382073

Observation 1df7e3b0-3570-49ce-83e8-fd80ecbf9586 · outbound

This paper cites 2d gaussian splatting for geometrically accu- rate radiance fields.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures 2d gaussian splatting for geometrically accu- rate radiance fields

Reference 7

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source=pdf_text observed=2026-08-03T17:22:22.172161Z digest=sha256:9dabe19078de63be26ae11f193ed5d69031637513bd746b308ebf77b3d15f9ad

Observation 72418331-8ca1-4edc-a4ec-9c18ceb1468c · outbound

This paper cites Fatesgs: Fast and accurate sparse-view surface reconstruction using gaussian splatting with depth- feature consistency.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Fatesgs: Fast and accurate sparse-view surface reconstruction using gaussian splatting with depth- feature consistency

Reference 8

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Observation ed46882d-c473-4926-bc6f-67771c846e8e · outbound

This paper cites GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces

Reference 9

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source=pdf_text observed=2026-08-03T17:22:22.275713Z digest=sha256:c9754cf5ee89547a75ff6ac42b1ff617feded0af4e2bd18b6a04703775a80121

Observation df8d0c72-fc4d-4cbd-85b4-589b98703b9d · outbound

This paper cites Tensoir: Tensorial inverse rendering.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Tensoir: Tensorial inverse rendering

Reference 10

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Observation 712ab2c2-af49-4951-8d23-71e503a45a4f · outbound

This paper cites Real shading in unreal engine 4.Proc.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Real shading in unreal engine 4.Proc

Reference 11

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Observation cece62f9-718c-4f31-a1b0-e6af5c959b2c · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 12

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source=pdf_text observed=2026-08-03T17:22:22.442944Z digest=sha256:fcb4a43635769efaa8a356985f8da87b0adcb44c02bee641ae8df19dd519c867

Observation 3589de93-5d60-4f3a-8af5-00a199c4518f · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023

Reference 13

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source=pdf_text observed=2026-08-03T17:22:22.511253Z digest=sha256:50adbb14b7b399e94f947baa1b3c375b639807e2574334079ad6e30d9a70cbd7

Observation 87379d13-2965-4c31-8686-b5d5a4e53304 · outbound

This paper cites Inverse Rendering for Complex Indoor Scenes: Shape, Spatially- Varying Lighting and SVBRDF From a Single Image.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Inverse Rendering for Complex Indoor Scenes: Shape, Spatially- Varying Lighting and SVBRDF From a Single Image

Reference 14

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source=pdf_text observed=2026-08-03T17:22:22.583217Z digest=sha256:4040f1361f63f19ac92c0c57c591aebb084b8efa1e92a1e35a42cc949d09c6d1

Observation 644b023b-c4da-4920-bb35-24e9abbd6dbb · outbound

This paper cites Gs-ir: 3d gaussian splatting for inverse rendering.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Gs-ir: 3d gaussian splatting for inverse rendering

Reference 15

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source=pdf_text observed=2026-08-03T17:22:22.747689Z digest=sha256:50806751b66e7d4cf4947e90827152b16d6e0a1ab8fea02785d15530bfe392ac

Observation fae5b5c4-83a8-438c-8b09-0afd806f5893 · outbound

This paper cites Shape and material capture at home.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Shape and material capture at home

Reference 16

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source=pdf_text observed=2026-08-03T17:22:22.812578Z digest=sha256:b0514a4fddc49427366f44706c8054c4fe1e648962b502c5ddb5adc4f7fabb21

Observation 71979e36-04de-49e5-911b-be99af229775 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object, 2023.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Zero-1-to-3: Zero-shot one image to 3d object, 2023

Reference 17

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source=pdf_text observed=2026-08-03T17:22:22.886429Z digest=sha256:4464b248a0fdd6f6a93c87e3e2ba8f6f1fbd9202db993141d0e8fe2536cf7634

Observation 6c91d94e-1957-4ddd-8c65-c33b4233501c · outbound

This paper cites NeRO: Neural Geometry and BRDF Reconstruction of Re- flective Objects from Multiview Images.ACM Trans.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures NeRO: Neural Geometry and BRDF Reconstruction of Re- flective Objects from Multiview Images.ACM Trans

Reference 18

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Observation 20f693e2-6ec2-47a6-840d-c4c8e6ad6a35 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Srinivasan, Matthew Tancik, Jonathan T

Reference 19

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Observation 93a914eb-e56b-4a23-802e-5cb93a48203a · outbound

This paper cites an unresolved cited work.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-03T17:22:23.197000Z digest=sha256:4fc6bf21b0cdfe1298d4ccee03a10b6e8230da336a09eee4349ed5054f9ddccd

Observation 6dbc98fc-6860-4650-ba80-03e36a45935b · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Learning transferable visual models from natural language supervi- sion

Reference 21

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Observation 4d5a1c0f-33d6-4925-a8ea-3502524c4871 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures SAM 2: Segment Anything in Images and Videos

Reference 22

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Observation 5661dd51-4ce3-4f52-af3e-0bcc24cfbbdd · outbound

This paper cites Object shape and reflectance modeling from observation.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Object shape and reflectance modeling from observation

Reference 23

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Observation eaab6fbe-3478-498a-92e0-cb52f2109d34 · outbound

This paper cites Castillo, and David W.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Castillo, and David W

Reference 24

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source=pdf_text observed=2026-08-03T17:22:23.681213Z digest=sha256:40c7e96ab8cb62362fc846a7e48d47a167e62c8d9ce2c10ca4dd26dbff7b5e53

Observation f1fe3a8b-a748-4ad3-8fa7-243d0c2d6ee5 · outbound

This paper cites Neural inverse rendering 11 of an indoor scene from a single image.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Neural inverse rendering 11 of an indoor scene from a single image

Reference 25

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Observation bb06afdb-3cea-43af-97eb-52e5eff1415d · outbound

This paper cites Gir: 3d gaussian inverse rendering for relightable scene factorization.IEEE Transactions on Trans- actions on Pattern Analysis and Machine Intelligence, 2025.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Gir: 3d gaussian inverse rendering for relightable scene factorization.IEEE Transactions on Trans- actions on Pattern Analysis and Machine Intelligence, 2025

Reference 26

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Observation c35692be-b09b-4cd1-9bda-253a7d924692 · outbound

This paper cites Nerv: Neural reflectance and visibility fields for relighting and view synthesis.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Nerv: Neural reflectance and visibility fields for relighting and view synthesis

Reference 27

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Observation 845697ee-8519-4a1f-a7c4-257c47bcb0cf · outbound

This paper cites Neural-PBIR Reconstruction of Shape, Mate- rial, and Illumination.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Neural-PBIR Reconstruction of Shape, Mate- rial, and Illumination

Reference 28

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Observation 9350367b-9d4c-4f6a-9391-18f85c944496 · outbound

This paper cites Barron, and Pratul P.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Barron, and Pratul P

Reference 29

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Observation 73bfd5c1-cf81-4dac-897a-954e8c13b88a · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Sparsenerf: Distilling depth ranking for few-shot novel view synthesis

Reference 30

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Observation 0e481f52-6caa-4ee5-b4f8-26dc0292ee69 · outbound

This paper cites an unresolved cited work.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-03T17:22:24.580903Z digest=sha256:0510feb7d08f3feb7b276c7638a308ec31070408ee4f4ab06112b5a2cb901064

Observation bb6efbae-c242-4ace-b9ac-6e3cafaa54e9 · outbound

This paper cites GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering

Reference 32

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Observation a0c518d0-6200-438e-8810-3dc856c5f406 · outbound

This paper cites Recover- ing shape and spatially-varying surface reflectance under un- known illumination.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Recover- ing shape and spatially-varying surface reflectance under un- known illumination.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016

Reference 33

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Observation 44f359a3-b775-49f1-94fc-8be7fddf92a0 · outbound

This paper cites Sparsegs: Real- time 360° sparse view synthesis using gaussian splatting.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Sparsegs: Real- time 360° sparse view synthesis using gaussian splatting

Reference 34

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Observation 0bba822a-37a6-4103-b1c7-23f806342d35 · outbound

This paper cites Gaussianob- ject: High-quality 3d object reconstruction from four views with gaussian splatting.ACM Transactions on Graphics, 43 (6), 2024.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Gaussianob- ject: High-quality 3d object reconstruction from four views with gaussian splatting.ACM Transactions on Graphics, 43 (6), 2024

Reference 35

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Observation 5e26d755-67d9-4e0e-91b5-389d68a6965a · outbound

This paper cites Reflective gaussian splatting.arXiv preprint, 2024.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Reflective gaussian splatting.arXiv preprint, 2024

Reference 36

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Observation ec849192-e7a7-4859-bc0e-2d02fc28ca79 · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 37

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Observation 5da8b782-dfe4-4c4b-84f5-555ac9d90639 · outbound

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GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Unresolved cited work

Reference 38

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Observation 4f79948a-13f2-46bd-a509-5b2d3630f9b2 · outbound

This paper cites Relighting neural radiance fields with shadow and highlight hints.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Relighting neural radiance fields with shadow and highlight hints

Reference 39

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Observation 6f0ce88a-cf1b-419a-9082-b87ece53de39 · outbound

This paper cites Rgb↔x: Image decomposition and synthesis using material- and lighting-aware diffusion models, 2024.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Rgb↔x: Image decomposition and synthesis using material- and lighting-aware diffusion models, 2024

Reference 40

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Observation 286f2616-4948-4b7d-862d-fb07e067eda0 · outbound

This paper cites NeILF++: Inter-Reflectable Light Fields for Geometry and Material Es- timation.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures NeILF++: Inter-Reflectable Light Fields for Geometry and Material Es- timation

Reference 41

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Observation dcf91f4f-2aa4-4607-9ba6-67ea4889966a · outbound

This paper cites RelitLRM: Generative Relightable Radiance for Large Reconstruction Models.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Reference 42

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Observation cf859ddf-0a50-46fa-9f5c-91dd1ff70415 · outbound

This paper cites Ner- factor: Neural factorization of shape and reflectance under an unknown illumination.ACM Transactions on Graphics (ToG), 40(6):1–18, 2021.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Ner- factor: Neural factorization of shape and reflectance under an unknown illumination.ACM Transactions on Graphics (ToG), 40(6):1–18, 2021

Reference 43

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Observation 8ae8d53d-b32b-4c0d-b906-ad227e90c63b · outbound

This paper cites Modeling indirect illumination for inverse rendering.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Modeling indirect illumination for inverse rendering

Reference 44

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Observation 1ca23c66-750c-4006-a890-84810926dd2e · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting, 2023.

GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures Fsgs: Real-time few-shot view synthesis using gaussian splatting, 2023

Reference 45

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Pith citing papers

Observation 4920d7ed-78c4-49c3-9ecc-cbca3d7b4c77 · inbound

TRON: Tracing Rays to Orchestrate a Neural Renderer for 3D Gaussian Reconstructions cites this paper.

TRON: Tracing Rays to Orchestrate a Neural Renderer for 3D Gaussian Reconstructions GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View Captures

Reference 73

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