Pith. sign in

Paper Citation Record · LEDGER

Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2206.03380.

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

pith.paper-citation-record.v1
2206.03380 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:56:57.111292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:29:35.510782Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 46085799-282b-4408-8d26-9db65d059ab2 · inbound

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

GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:53:47.838979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T02:53:01.366127Z digest=sha256:69e95c8701b4d991525ca41fa772fa57ea4da980a7923ee37531834fa20a6595

Observation 030d6f90-9ac0-4054-a34e-04b0ef890033 · inbound

DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models cites this paper.

DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T22:56:57.111292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:56:57.111292Z digest=sha256:9068d56e8e9a1c45a618bad305accbde02ccdf099c47190713137fd13964dc80

Observation 7424ed1c-c950-468b-a352-9db06c112b3e · inbound

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting cites this paper.

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:34.838726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:34.838726Z digest=sha256:1f40c1973d979ecf3522c5a0a49fb536342bed8d563dc98a8034bb0e746eef5e

Observation ac91b557-cc3f-4433-a8a0-e35fd5481b34 · inbound

LuxDiT: Lighting Estimation with Video Diffusion Transformer cites this paper.

LuxDiT: Lighting Estimation with Video Diffusion Transformer Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T10:52:02.157741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:52:02.157741Z digest=sha256:3cf5e5f7d66506c592526aa37260bd0b31fcbf1fdbc33bb04461167c247a8fb4

Observation 65296f6f-8ebd-4029-9a75-4922f0f43bc4 · inbound

Spherical Voronoi: Directional Appearance as a Differentiable Partition of the Sphere cites this paper.

Spherical Voronoi: Directional Appearance as a Differentiable Partition of the Sphere Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T16:18:34.311754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:18:34.311754Z digest=sha256:378bade2663cc3afc611da792aa0a7c0b8b8edbd6c133418fa71c0b67ad5731a

Observation 42b883f4-94a6-4554-8f86-b65482bcec7f · inbound

Learning a Delighting Prior for Facial Appearance Capture in the Wild cites this paper.

Learning a Delighting Prior for Facial Appearance Capture in the Wild Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 140

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.165724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T15:03:43.116375Z digest=sha256:6a45bcdbcaa275bd37da73ad870f966f598aaa4e1a512de4b29e0a3a45663968

Observation ae1912c6-34e0-4b37-adeb-a34b8cdda52c · 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 Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T05:07:38.847452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T13:26:19.370931Z digest=sha256:500b9a4e6aa3a7c8b76875cae23357e73c9bc7dc14ca0155c5bacb844ece3176

Observation 868e37bc-c98f-4d12-9ad0-c849c3746e86 · inbound

Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications cites this paper.

Efficiently Linking Real Scenes with Synthetic Data Generation for AI-based Cognitive Robotics and Computer Vision Applications Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T04:29:35.512410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T16:56:34.009246Z digest=sha256:b6e91444e2090eb79831c39f486e3a95b8a7fe9f8aa4c96213b12d25899881c7

Observation 653ee9be-0ca4-4253-b46a-030cc5d58fa2 · inbound

AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting cites this paper.

AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T00:34:05.334351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:33:13.630913Z digest=sha256:c39630bcc6b3a4c0ffd470c3463e26f32c7238f9bd8227602346ba0275b5169c

Observation cc1d4a74-7018-4a7c-8192-2eef47c06d01 · inbound

AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting cites this paper.

AEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:39.744901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:19:09.466944Z digest=sha256:b92a23528d5d7af9ddf120ae7b309b0a6d3198f35bd80d77422b8b8754dc96b4