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Paper Citation Record · LEDGER

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2506.13110.

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

pith.paper-citation-record.v1
2506.13110 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:40.129399Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved21
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29d8a56f-2ba6-4cc5-b3d6-6c56768b9ae3 · outbound

This paper cites Rethinking induc- tive biases for surface normal estimation.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Rethinking induc- tive biases for surface normal estimation

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 2026-08-17T06:30:58.91139+00:00.

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Observation 88787c29-e1f7-4a6a-8ee1-8ba892815826 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:32.087281Z digest=sha256:1720111559fe282e32c40d268ac865dc18859e02fd56003cc1e86b24687077ec

Observation 534ab72e-46c2-4a9f-90f3-846624597080 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 3

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no resolver link, observed 2026-08-07T00:39:32.247911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b38e3bab-893d-43df-92a9-d3da38a4551f · outbound

This paper cites High-quality surface splatting on today’s gpus.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction High-quality surface splatting on today’s gpus

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.903248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:32.348681Z digest=sha256:cbc48869ba54300eb3ce9a989d8882f595007e6ae34ff85bdb85bb0429b988a2

Observation 0b6c1ff0-59b0-471d-9358-3ac5bdac65eb · outbound

This paper cites Physically-based shading at disney.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Physically-based shading at disney

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.887585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:32.440337Z digest=sha256:bcea691b2ba22bf6bc9a11ed72d7d3216f89770297a95fc49fb91cbe96c47eb5

Observation 1e03b74f-8d41-419d-8424-8a0d8bacaa01 · outbound

This paper cites PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:32.576187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:32.576187Z digest=sha256:9b3d85ea4c5df6cad47ac48be3fa8042255554f9cae8d0daaef035e388b66807

Observation 3e1c8ad8-02c6-487a-9900-d19d2ee0c485 · outbound

This paper cites NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

Reference 7

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no resolver link, observed 2026-08-07T00:39:32.787151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:32.787151Z digest=sha256:35f341073c4fc08a099f5c1e2e5fe8e8c475ebf16bb99e51082f81a973eeff6b

Observation e9f9fc42-b3f9-4b8a-8e3a-d1acf2557573 · outbound

This paper cites VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Reference 8

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no resolver link, observed 2026-08-07T00:39:32.956268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:32.956268Z digest=sha256:f4bbd80ea52f2368718513cc68a064b25481466367d593fca3f5f6b423d633fe

Observation cdab5b36-e04f-4989-9b54-a22d7b493b50 · outbound

This paper cites A reflectance model for computer graphics.ACM Siggraph Computer Graphics, 15(3):307–316, 1981.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction A reflectance model for computer graphics.ACM Siggraph Computer Graphics, 15(3):307–316, 1981

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3025fc60-1000-4341-8392-b7a689a28fde · outbound

This paper cites High-quality surface recon- struction using gaussian surfels.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction High-quality surface recon- struction using gaussian surfels

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:33.274676Z digest=sha256:c7ba44b4ebbf433fae0b2708b51ba4191c063fcb9f05989e8917f16a07a4e9cf

Observation fc238b0a-beb1-40d8-9dc4-f94777127cf6 · outbound

This paper cites The triangle processor and normal vector shader: a vlsi system for high performance graphics.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction The triangle processor and normal vector shader: a vlsi system for high performance graphics

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:33.492040Z digest=sha256:56888815fcc86faad8b0428af26424e53a70d384515757bb9fc2c1fa93e68884

Observation c94bf216-8b75-4ec4-84ad-32284411c3bb · outbound

This paper cites Diffusiondepth: Diffusion denoising approach for monocular depth estima- tion.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Diffusiondepth: Diffusion denoising approach for monocular depth estima- tion

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.825782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:33.645870Z digest=sha256:76955eaba492f4ac9820a53af13d977b26a0de26b99dbbbf2b59e29237a40677

Observation 4e8c055c-f7d5-4c10-b8d5-eda6681eb318 · outbound

This paper cites Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans

Reference 13

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no resolver link, observed 2026-08-07T00:39:33.774503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:33.774503Z digest=sha256:bc5df9cb8c22fdd760b77a61886202c59700f1aadc1f980c34acba825d56643d

Observation 02245c0b-8f0b-4e5f-82c8-286509602d59 · outbound

This paper cites Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Predicting depth, surface nor- mals and semantic labels with a common multi-scale con- volutional architecture

Reference 14

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unresolved
no resolver link, observed 2026-08-07T00:39:33.931823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:33.931823Z digest=sha256:61cf8d33090d67ceaff308d92a98ec1212d82233c755698281f3bf2ba6d48556

Observation de418b4b-aeb5-4900-92f8-7b87e2059fb5 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.Advances in neural information processing systems, 27, 2014.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Depth map prediction from a single image using a multi-scale deep net- work.Advances in neural information processing systems, 27, 2014

Reference 15

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no resolver link, observed 2026-08-07T00:39:34.067744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:34.067744Z digest=sha256:28965b96120124ee2721f03a2bdcd12a8206ad02a8f1f2669f4ae58c414293a7

Observation 8b945229-2fcd-4ee6-ab16-ae871c0f7820 · outbound

This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.780598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:34.228138Z digest=sha256:b5960f45258d105e36876c1340676baeb26627ce76882f13ec8569822fd4bd34

Observation 069a8626-a95f-4ddd-80cd-c3186b264bd3 · outbound

This paper cites Planar Reflection-Aware Neural Radiance Fields.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Planar Reflection-Aware Neural Radiance Fields

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:39:40.222624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:34.391543Z digest=sha256:d098645a13ab787be104835246ce4578bcece4151962cfcd5634280411095cff

Observation 98615c37-902b-45f9-b5f5-291c811d5d88 · outbound

This paper cites Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:34.607470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:34.607470Z digest=sha256:8995e9ad8350ecacf724de8efc3e401461ee26e21b6a39f96eeaf4de905c068a

Observation 9722c893-ad49-45e6-846d-e3f6c55e592c · outbound

This paper cites Nerfren: Neural radiance fields with reflections.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Nerfren: Neural radiance fields with reflections

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.764631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:34.870984Z digest=sha256:c3914eb4fd4681d924904607f7e7c84b89fe5b5855f94bbba5d8e9b3959b77a3

Observation 12355786-002c-4b1d-898f-328a34d2af4d · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.748618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:35.025210Z digest=sha256:d4b209af5ddce629b802f9c24f20a3d642a60a126a55d008cec2140e54f4f322

Observation ed184b79-f157-41da-b8f0-d94d5bacc331 · outbound

This paper cites Transparent and specu- lar object reconstruction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Transparent and specu- lar object reconstruction

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.732319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:35.160835Z digest=sha256:26641496e5800cc8b34fd4108b06e3d80bdc6122af432f7a7aa64bf6b43e29f9

Observation ddc8727e-2f0b-4f0b-bb04-874753cc506a · outbound

This paper cites Gaussian- shader: 3d gaussian splatting with shading functions for re- flective surfaces.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Gaussian- shader: 3d gaussian splatting with shading functions for re- flective surfaces

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.717149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:35.304157Z digest=sha256:b1063e5c5d81b07cc6643f7645b479703efb9a2af9e8c1ea5fc9429ee302069d

Observation befa6a90-8f9a-468f-b2cb-58699644e61c · outbound

This paper cites The rendering equation.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction The rendering equation

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.699968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d80c973c-26c6-4bb2-b0e3-d08ca3c072ac · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Real shading in unreal engine 4.Proc

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.685103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:35.646639Z digest=sha256:4be7093d74bc41a65c37ca92d6c9c123575bcc90721f928ee2e49adc37d0dac3

Observation ecbbf7db-3990-4d04-bb05-6d69b0692be9 · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.668656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:35.832751Z digest=sha256:c8771cccfde39c36678550bdb1a70041d2551f008e32751bf5fd8c4aae3ed98d

Observation 54d25bc1-c4d6-4d0d-8442-20705dd36e0a · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:36.038572Z digest=sha256:a58c53b864c362631b30d4ef915eda46001ef992afd3ce931ca8f51e01ad7591

Observation 3a6810c7-4785-4d01-89f9-788d3d7d3fd5 · outbound

This paper cites Stanford-orb: a real-world 3d object inverse rendering benchmark.Advances in Neural Information Processing Systems, 36, 2024.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Stanford-orb: a real-world 3d object inverse rendering benchmark.Advances in Neural Information Processing Systems, 36, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.643347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:36.162898Z digest=sha256:73b10e784adcfc55cd8f56da1758ad118d5601f93ebf1a974c8e282b7810264e

Observation 2c76f43f-4d3e-4ef6-a2cb-71becf047256 · outbound

This paper cites Tensosdf: Roughness-aware tensorial representation for robust geom- etry and material reconstruction.ACM Transactions on Graphics (TOG), 43(4):1–13, 2024.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Tensosdf: Roughness-aware tensorial representation for robust geom- etry and material reconstruction.ACM Transactions on Graphics (TOG), 43(4):1–13, 2024

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.627470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:36.344105Z digest=sha256:1f4107e581ce280c0a3083926962ec6170feeda288d330a5955ad56f01ee6914

Observation 90f88f0c-8c52-461a-bcf6-7f7b76980b3f · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Megadepth: Learning single- view depth prediction from internet photos

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.612016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:36.478285Z digest=sha256:1e0ebcb75308dd273f7737db33eb3ddb9cf48ea0724843dd515945d6386c85fe

Observation e085395e-a75e-4c43-85de-7922b0f703f7 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Neuralangelo: High-fidelity neural surface reconstruction

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:36.681130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:36.681130Z digest=sha256:5ee4b7f6dd21bdc1b1ca74263fdd2895400dee883ae060f02d96400cf8d2b736

Observation 7afd3bed-cd9c-45bb-a57e-1cdfc39dc74f · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Gs-ir: 3d gaussian splatting for inverse rendering

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.587386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:36.862672Z digest=sha256:eaa113a1e33187c45a354fb6231f4d1ba462642d7aa83b4e9ef8c04b042c9cc2

Observation 4e1d4bf0-d6c5-4902-8966-2ea971da577f · outbound

This paper cites Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images.ACM Transactions on Graphics (TOG), 42(4):1–22, 2023.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Nero: Neural geometry and brdf reconstruction of reflective objects from multiview images.ACM Transactions on Graphics (TOG), 42(4):1–22, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.572263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:37.010179Z digest=sha256:c7597b55435f974addacb43aa39c511570cfe6c485f81d18544168d4dfa0fadb

Observation 28d756d5-c265-4e37-99f8-40bbd8e567e1 · outbound

This paper cites Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation

Reference 33

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unresolved
no resolver link, observed 2026-08-07T00:39:37.132851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f3c3ef27-97a9-4ccd-94e1-82247ac6ec12 · outbound

This paper cites Fine-tuning image-conditional diffusion models is easier than you think.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Fine-tuning image-conditional diffusion models is easier than you think

Reference 34

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no resolver link, observed 2026-08-07T00:39:37.277044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:37.277044Z digest=sha256:b0dc1030a81ff39a37717b86c65e9794cdafc97b9a5d4a218fb0e1c76fa36244

Observation 3b474ec1-a23b-41fd-a767-8bdd66423c6d · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 35

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no resolver link, observed 2026-08-07T00:39:37.491767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:37.491767Z digest=sha256:d0ba288784639f057c96a1e635582eb7cb4d239534f57d3b0c63854af9d69bd8

Observation c34fb544-37be-4e9e-9e00-6fa0163ad8ca · outbound

This paper cites Extracting triangular 3d models, materials, and lighting from images.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Extracting triangular 3d models, materials, and lighting from images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.539404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:37.690715Z digest=sha256:41d2978873c363b8f9d7db9a7f1049a7933d9504f3af06673178948d24971aa9

Observation 3e8ecf6b-0460-4f89-b6d5-b019f0fee2e7 · outbound

This paper cites an unresolved cited work.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Unresolved cited work

Reference 37

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no resolver link, observed 2026-08-07T00:39:37.831007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:37.831007Z digest=sha256:222dc2886bc8ec2f7cfa7e2648e6fedb38c15f12c97c08108353d03f83a18d79

Observation 3c20a61c-6fda-4932-b54d-666ac052ee5e · outbound

This paper cites Vi- sion transformers for dense prediction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Vi- sion transformers for dense prediction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.514750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:37.993308Z digest=sha256:b5d2d739b91e3900eb641b26e10bed06f929d5d1ab36aafa5e3f31986412d24c

Observation ed23f7bd-86a8-48eb-bb23-064f0267d315 · outbound

This paper cites Make3d: Learning 3d scene structure from a single still image.IEEE transactions on pattern analysis and machine intelligence, 31(5):824–840, 2008.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Make3d: Learning 3d scene structure from a single still image.IEEE transactions on pattern analysis and machine intelligence, 31(5):824–840, 2008

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.499823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:38.139634Z digest=sha256:56cc07b76289deb68d4d090377cd85484573fef84ee20a8224e8a4d9634e6b79

Observation 6cf7e336-190b-46a3-abb0-4fe8bb6fb600 · outbound

This paper cites The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36, 2024.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36, 2024

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:38.298885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:38.298885Z digest=sha256:9ffe5bba58e732d14c3d876dd201b79ac8ae6bf6948bad25024c7962af0c4222

Observation 66e8cc4f-270d-43ad-ae9f-eddc91f70bf9 · outbound

This paper cites Seeing through the glass: Neural 3d reconstruction of object inside a transpar- ent container.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Seeing through the glass: Neural 3d reconstruction of object inside a transpar- ent container

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.474397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:38.426176Z digest=sha256:dd58b6efe49f665f4f04f30f2511db760c2bbcfd487e23bfbd001b68197088fc

Observation ce181392-929a-4ba7-a85a-116af62719f6 · outbound

This paper cites Ref-nerf: Struc- tured view-dependent appearance for neural radiance fields.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Ref-nerf: Struc- tured view-dependent appearance for neural radiance fields

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:38.574791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:38.574791Z digest=sha256:d4a17d94956c593a9cc7a5c0ed1dd3ff3986e3c3c9a6ea7a43d79ce9813c6b1d

Observation bccec761-7f6b-41d1-a793-cff5431ed9e6 · outbound

This paper cites Microfacet models for refraction through rough surfaces.Rendering techniques, 2007:18th, 2007.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Microfacet models for refraction through rough surfaces.Rendering techniques, 2007:18th, 2007

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.449429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:38.719758Z digest=sha256:f27513397dce1841c24ba29010b3e98f80165fb400f347d469fe99385e667a08

Observation e612f5a8-3298-464b-b320-994c048ea899 · outbound

This paper cites Neus: Learning neural im- plicit surfaces by volume rendering for multi-view recon- struction.Advances in Neural Information Processing Sys- tems, 34:27171–27183, 2021.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Neus: Learning neural im- plicit surfaces by volume rendering for multi-view recon- struction.Advances in Neural Information Processing Sys- tems, 34:27171–27183, 2021

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.433843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:38.913361Z digest=sha256:8e8d7c42eb49c77f5d8de1654bad3ea0eb35459a48763aa69b3bf9d9e0c74b3c

Observation 59795ae0-ffde-4752-bc00-d01162b3d928 · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.418291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:39.127397Z digest=sha256:1bbdbb31be88a68bff55cfee5b37c04f8cf9deccf51b6ab99d9563fd4e29b35c

Observation 4bd72574-2f1a-47be-8ba1-32fa23aa1ef2 · outbound

This paper cites Transformer-based attention networks for continuous pixel-wise prediction.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Transformer-based attention networks for continuous pixel-wise prediction

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:39.267186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:39.267186Z digest=sha256:8e5537b0e64854403c48299a0a2fd671baa3abb3b4bc6c93ab14232d78909273

Observation 6377a3d5-cee2-4cdf-bf53-a15144fa678b · outbound

This paper cites 3d gaussian splat- ting with deferred reflection.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction 3d gaussian splat- ting with deferred reflection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.393362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:39.416515Z digest=sha256:8cd082c4522d339f757de511893b7219c65cdd19b118e60718cd0f13ac51e069

Observation 7ceed550-11a3-44c8-9562-19b439f93e1d · outbound

This paper cites Geonet: Unsupervised learn- ing of dense depth, optical flow and camera pose.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Geonet: Unsupervised learn- ing of dense depth, optical flow and camera pose

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:39.607109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:39.607109Z digest=sha256:2ef155820e7f7635f8ed1ae0490d000997e36c9cdf16fab50f7697ed10295998

Observation 49b31238-17a4-4dae-b70a-20f03772dc6c · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Plenoctrees for real-time rendering of neural radiance fields

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:39.644197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:39.644197Z digest=sha256:3d612c8a5080c1e705ddef499021db9fbd992b611f13797126f6e83199ab7401

Observation 60408c5b-4ef6-474c-bd1c-06e6b3472b26 · outbound

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

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:39.676783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:39.676783Z digest=sha256:830dccd40d8ea2a5c518cf6119b315eeb2ddf584a28c171cd8fa28c914de7e9b

Observation c612ba7f-88cf-48ef-b4e7-b89a6e4831eb · outbound

This paper cites Monovit: Self-supervised monocular depth estimation with a vision transformer.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Monovit: Self-supervised monocular depth estimation with a vision transformer

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.357700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:39.787146Z digest=sha256:229f829074b7fdd8e5cd0aadd2640166c53bd81d197f795743b7a5ada8b7c989

Observation c3f15150-efcd-49ed-946a-afd101aeb43a · outbound

This paper cites Unleashing text-to-image diffu- sion models for visual perception.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Unleashing text-to-image diffu- sion models for visual perception

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.341287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:39.930542Z digest=sha256:7f27e7e64f9d9c66dbcb1f647b32c1e8c11f7612a85140711b63ddcc9e95a0da

Observation b55c2d67-8871-446c-86e8-8b787a3e10db · outbound

This paper cites Instant-nerf: In- stant on-device neural radiance field training via algorithm- accelerator co-designed near-memory processing.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Instant-nerf: In- stant on-device neural radiance field training via algorithm- accelerator co-designed near-memory processing

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.327134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:40.064739Z digest=sha256:450c53bf38f00f869e83dfbf7b99efa42076456be24538eb7d9c9bb1260a304b

Observation 2563948b-cda9-405f-bf18-5311bbe44d5b · outbound

This paper cites Representation We implement GS-2DGS mainly based on the original 2DGS.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Representation We implement GS-2DGS mainly based on the original 2DGS

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.311551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:40.072236Z digest=sha256:21ce2d84459fb717f56111d69f006c4006a0ba2f07b83fca08fd1368280c2872

Observation fa170ef4-aa56-4e54-b0a7-afcfebc63d0c · outbound

This paper cites Results on Glossy Blender dataset ReconstructionFig.

GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction Results on Glossy Blender dataset ReconstructionFig

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:40.297146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:39:40.129399Z digest=sha256:1facc96eb56530dab5c70852a22c32def402f6d6be2728c247594089ab55ba79

Pith citing papers

No inbound Pith citation observations are available.