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Paper Citation Record · LEDGER

Scene Parameter Saliency via Differentiable Light Transport

As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.21562.

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

pith.paper-citation-record.v1
2607.21562 v1

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T07:07:45.415686Z

measured 44 of 44 standing notices

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

measured 0 of 0 inbound itemization

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44 of 44 outbound references displayed

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Outbound references

Observation e7a33573-e66c-4f1a-b3df-5e723135f853 · outbound

This paper cites Shape, illumination, and reflectance from shad- ing.IEEE transactions on pattern analysis and machine intelligence, 37(8):1670–1687, 2014.

Scene Parameter Saliency via Differentiable Light Transport Shape, illumination, and reflectance from shad- ing.IEEE transactions on pattern analysis and machine intelligence, 37(8):1670–1687, 2014

Reference 1

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Observation ade802e7-bd01-48cc-a82a-792549ad562d · outbound

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

Scene Parameter Saliency via Differentiable Light Transport Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields

Reference 2

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Observation 8b00f8fd-bd2e-49c2-9d25-791a64cb5c9a · outbound

This paper cites Recovering intrinsic scene characteristics.Comput.

Scene Parameter Saliency via Differentiable Light Transport Recovering intrinsic scene characteristics.Comput

Reference 3

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Observation 2073349f-f53e-4c85-b569-441120562e44 · outbound

This paper cites MRD: Using Physically Based Differentiable Rendering to Probe Vision Models for 3D Scene Understanding.

Scene Parameter Saliency via Differentiable Light Transport MRD: Using Physically Based Differentiable Rendering to Probe Vision Models for 3D Scene Understanding

Reference 4

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Observation 74558b77-7265-4a88-8d8a-70b4914469b3 · outbound

This paper cites Rendering resources, 2016.

Scene Parameter Saliency via Differentiable Light Transport Rendering resources, 2016

Reference 5

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Observation f94d2725-e77b-42cf-90ac-047b93545447 · outbound

This paper cites Saliency cards: A framework to characterize and compare saliency meth- ods.

Scene Parameter Saliency via Differentiable Light Transport Saliency cards: A framework to characterize and compare saliency meth- ods

Reference 6

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Observation f9a748dd-e7f4-4f51-938e-b25accded19b · outbound

This paper cites Grad-cam++: Generalized gradient-based visual explanations for deep convolu- tional networks.

Scene Parameter Saliency via Differentiable Light Transport Grad-cam++: Generalized gradient-based visual explanations for deep convolu- tional networks

Reference 7

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Observation 44a55f60-d312-44b3-969a-4f1739bc9141 · outbound

This paper cites Learning to predict 3d objects with an interpolation-based differen- tiable renderer.Advances in neural information processing systems, 32, 2019.

Scene Parameter Saliency via Differentiable Light Transport Learning to predict 3d objects with an interpolation-based differen- tiable renderer.Advances in neural information processing systems, 32, 2019

Reference 8

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Observation b5d6fd2d-a2fa-458e-915b-912936f04b4a · outbound

This paper cites Fully automatic id mattes with support for motion blur and transparency.

Scene Parameter Saliency via Differentiable Light Transport Fully automatic id mattes with support for motion blur and transparency

Reference 9

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Observation 7e65afec-bf8a-4c48-b8be-475909337939 · outbound

This paper cites Relightable 3d gaussians: Realistic point cloud relighting with brdf decomposition and ray tracing.

Scene Parameter Saliency via Differentiable Light Transport Relightable 3d gaussians: Realistic point cloud relighting with brdf decomposition and ray tracing

Reference 10

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Observation bfe0f963-077e-46f9-bde9-442cb60cb4de · outbound

This paper cites Computing visual comfort ratings for a specific interior lighting installation.Illuminating Engineering, 61(10):634, 1966.

Scene Parameter Saliency via Differentiable Light Transport Computing visual comfort ratings for a specific interior lighting installation.Illuminating Engineering, 61(10):634, 1966

Reference 11

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Observation b3df1265-4c21-41e7-96d8-b7a51eb179af · outbound

This paper cites Deep residual learning for image recognition.

Scene Parameter Saliency via Differentiable Light Transport Deep residual learning for image recognition

Reference 12

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Observation 08692297-8281-4ef5-8aad-0689bfc2db8d · outbound

This paper cites Daylighting and human performance.ASHRAE journal, 44(6):65–67, 2002.

Scene Parameter Saliency via Differentiable Light Transport Daylighting and human performance.ASHRAE journal, 44(6):65–67, 2002

Reference 13

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Observation f73d57e4-5463-4456-9f19-10494414a134 · outbound

This paper cites an unresolved cited work.

Scene Parameter Saliency via Differentiable Light Transport Unresolved cited work

Reference 14

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Observation 09098c5e-a30f-4501-9094-80c0070fc694 · outbound

This paper cites Discomfort glare in interior lighting.

Scene Parameter Saliency via Differentiable Light Transport Discomfort glare in interior lighting

Reference 15

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Observation ed060ac6-b4ea-4355-ae90-60eb578bb943 · outbound

This paper cites Mitsuba 3 renderer, 2022.

Scene Parameter Saliency via Differentiable Light Transport Mitsuba 3 renderer, 2022

Reference 16

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Observation 21fe2037-f854-4c58-a298-7a0963b28033 · outbound

This paper cites Dr.jit: A just-in- time compiler for differentiable rendering.Transactions on Graphics (Proceedings of SIGGRAPH), 41(4), July 2022.

Scene Parameter Saliency via Differentiable Light Transport Dr.jit: A just-in- time compiler for differentiable rendering.Transactions on Graphics (Proceedings of SIGGRAPH), 41(4), July 2022

Reference 17

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Observation 84c26121-d074-417c-86f7-ee7daa7bf46e · outbound

This paper cites Neural 3d mesh renderer.

Scene Parameter Saliency via Differentiable Light Transport Neural 3d mesh renderer

Reference 18

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Observation 51cf7209-5969-40ff-98eb-849bf1ed4c22 · outbound

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

Scene Parameter Saliency via Differentiable Light Transport 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 19

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Observation ed72af9a-b90f-49b2-bb13-aef108a7cac6 · outbound

This paper cites Modular primitives for high-performance differentiable rendering.ACM Trans- actions on Graphics (ToG), 39(6):1–14, 2020.

Scene Parameter Saliency via Differentiable Light Transport Modular primitives for high-performance differentiable rendering.ACM Trans- actions on Graphics (ToG), 39(6):1–14, 2020

Reference 20

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Observation ac3439bc-1a9a-4e6f-93cd-042b6cdd7cbb · outbound

This paper cites Differentiable monte carlo ray tracing through edge sampling.ACM Transactions on Graphics (TOG), 37 (6):1–11, 2018.

Scene Parameter Saliency via Differentiable Light Transport Differentiable monte carlo ray tracing through edge sampling.ACM Transactions on Graphics (TOG), 37 (6):1–11, 2018

Reference 21

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Observation 8ff1febf-1162-4287-9510-1f02d7f7a2c7 · outbound

This paper cites View-independent adjoint light tracing for lighting design optimization.ACM Trans.

Scene Parameter Saliency via Differentiable Light Transport View-independent adjoint light tracing for lighting design optimization.ACM Trans

Reference 22

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Observation 6519640b-98e0-4aef-a087-276274433950 · outbound

This paper cites Soft rasterizer: A differentiable renderer for image-based 3d reasoning.

Scene Parameter Saliency via Differentiable Light Transport Soft rasterizer: A differentiable renderer for image-based 3d reasoning

Reference 23

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Observation 69c1cd06-9e7a-4538-82f7-dc8f0c273a64 · outbound

This paper cites Approved method: Ies spatial daylight autonomy (sda) and annual sunlight exposure (ase).Illuminating Engineering Society.

Scene Parameter Saliency via Differentiable Light Transport Approved method: Ies spatial daylight autonomy (sda) and annual sunlight exposure (ase).Illuminating Engineering Society

Reference 24

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Observation 575af524-8b29-4e4c-babf-80eb0fe06876 · outbound

This paper cites Reparameterizing discon- tinuous integrands for differentiable rendering.Transactions on Graphics (Proceedings of SIGGRAPH Asia), 38(6), December 2019.

Scene Parameter Saliency via Differentiable Light Transport Reparameterizing discon- tinuous integrands for differentiable rendering.Transactions on Graphics (Proceedings of SIGGRAPH Asia), 38(6), December 2019

Reference 25

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Observation 516f6a05-0c16-4ddb-b053-57fc62ef6dd0 · outbound

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

Scene Parameter Saliency via Differentiable Light Transport Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99–106, 2021

Reference 26

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Observation f9d21a7c-0ed3-416b-adb2-091a607c1660 · outbound

This paper cites Factorial sampling plans for preliminary computational experiments.

Scene Parameter Saliency via Differentiable Light Transport Factorial sampling plans for preliminary computational experiments

Reference 27

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Observation 458e5a7b-c0cc-4def-980c-bf5e2d416b2d · outbound

This paper cites Useful daylight illuminances: A replacement for daylight factors.Energy and buildings, 38(7):905–913, 2006.

Scene Parameter Saliency via Differentiable Light Transport Useful daylight illuminances: A replacement for daylight factors.Energy and buildings, 38(7):905–913, 2006

Reference 28

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Observation 921ca50c-dd77-4c88-a6c4-30428c0aec73 · outbound

This paper cites Mitsuba 2: A retargetable forward and inverse renderer.Transactions on Graphics (Proceedings of SIGGRAPH Asia), 38(6), December 2019.

Scene Parameter Saliency via Differentiable Light Transport Mitsuba 2: A retargetable forward and inverse renderer.Transactions on Graphics (Proceedings of SIGGRAPH Asia), 38(6), December 2019

Reference 29

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Observation 7e46f7bd-2c16-4db1-8efe-18ed3d9f13e7 · outbound

This paper cites Ra- diative backpropagation: An adjoint method for lightning-fast differentiable render- ing.Transactions on Graphics (Proceedings of SIGGRAPH), 39(4), July 2020.

Scene Parameter Saliency via Differentiable Light Transport Ra- diative backpropagation: An adjoint method for lightning-fast differentiable render- ing.Transactions on Graphics (Proceedings of SIGGRAPH), 39(4), July 2020

Reference 30

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Observation b65f90a1-cb96-469f-a5b5-bebaff8f4edc · outbound

This paper cites Daylight performance predictions.

Scene Parameter Saliency via Differentiable Light Transport Daylight performance predictions

Reference 31

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Observation 50daf70f-2304-414b-9669-095665f905c2 · outbound

This paper cites Differentiable objectives for 3d scene relighting via gradient descent on olat basis coefficients.

Scene Parameter Saliency via Differentiable Light Transport Differentiable objectives for 3d scene relighting via gradient descent on olat basis coefficients

Reference 32

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Observation dba8b01b-68eb-4264-a579-51b26aff29e5 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Scene Parameter Saliency via Differentiable Light Transport Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 33

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Observation e03278c0-d5d8-4d83-9bb6-a61d3aba8d43 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Scene Parameter Saliency via Differentiable Light Transport Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 34

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Observation bfd31a76-a221-4632-acb2-51df950b88f0 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

Scene Parameter Saliency via Differentiable Light Transport SmoothGrad: removing noise by adding noise

Reference 35

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source=pdf_text observed=2026-08-01T07:07:45.374493Z digest=sha256:1ac2427932665ed6e8eb6362e43803dbaf3d9c17b5845e48e9d227da06884a6a

Observation dc6c337d-4610-4d29-aac8-6abc6207b1b2 · outbound

This paper cites Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates.Mathematics and computers in simulation, 55(1-3):271–280, 2001.

Scene Parameter Saliency via Differentiable Light Transport Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates.Mathematics and computers in simulation, 55(1-3):271–280, 2001

Reference 36

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Observation 9bbfad1c-3d30-4dce-b780-397639b8913c · outbound

This paper cites Axiomatic attribution for deep net- works.

Scene Parameter Saliency via Differentiable Light Transport Axiomatic attribution for deep net- works

Reference 37

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source=pdf_text observed=2026-08-01T07:07:45.384159Z digest=sha256:d3def4631f71a3559807676e6b119c935af7708b861501f63283b48bab17f841

Observation 5595e924-420f-4755-92de-c265545e1f83 · outbound

This paper cites Diff-DOPE: Differentiable Deep Object Pose Estimation.

Scene Parameter Saliency via Differentiable Light Transport Diff-DOPE: Differentiable Deep Object Pose Estimation

Reference 38

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Observation f8d10780-d504-42c5-b0df-6e76a30d5c58 · outbound

This paper cites Path replay backpropagation: Differentiating light paths using constant memory and linear time.Transactions on Graphics (Proceedings of SIGGRAPH), 40(4):108:1–108:14, August 2021.

Scene Parameter Saliency via Differentiable Light Transport Path replay backpropagation: Differentiating light paths using constant memory and linear time.Transactions on Graphics (Proceedings of SIGGRAPH), 40(4):108:1–108:14, August 2021

Reference 39

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Observation 2ec9e91a-c26f-4192-98f3-7513d2ea2086 · outbound

This paper cites Stochastic gradient estimation for higher-order differentiable rendering.

Scene Parameter Saliency via Differentiable Light Transport Stochastic gradient estimation for higher-order differentiable rendering

Reference 40

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source=pdf_text observed=2026-08-01T07:07:45.397732Z digest=sha256:68be7b4137e751e8fa060cfc6985819132b1e561b53c8df69c59bb547926c673

Observation 2e81701a-3fd0-4638-9855-937239b8a2ec · outbound

This paper cites Evaluation methods and development of a new glare prediction model for daylight environments with the use of ccd cameras.Energy and buildings, 38(7):743–757, 2006.

Scene Parameter Saliency via Differentiable Light Transport Evaluation methods and development of a new glare prediction model for daylight environments with the use of ccd cameras.Energy and buildings, 38(7):743–757, 2006

Reference 41

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source=pdf_text observed=2026-08-01T07:07:45.402133Z digest=sha256:dd023364eec899270375d25287b37ed0954049178a671927961f2d4c9999a07b

Observation decb98e3-0ae2-47b8-b0c6-80d4c80c80fa · outbound

This paper cites Photometric method for determining surface orientation from mul- tiple images.Optical engineering, 19(1):139–144, 1980.

Scene Parameter Saliency via Differentiable Light Transport Photometric method for determining surface orientation from mul- tiple images.Optical engineering, 19(1):139–144, 1980

Reference 42

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Observation 88ca7b70-a05f-42ab-b821-ff7cdc840fe8 · outbound

This paper cites Diffcsg: Differentiable csg via rasterization.

Scene Parameter Saliency via Differentiable Light Transport Diffcsg: Differentiable csg via rasterization

Reference 43

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Observation 13fbc0ba-fe7c-48f5-b929-e5877475dca8 · outbound

This paper cites Vision as bayesian inference: Analysis by synthesis? Trends in cognitive sciences, 10(7):301–308, 2006.

Scene Parameter Saliency via Differentiable Light Transport Vision as bayesian inference: Analysis by synthesis? Trends in cognitive sciences, 10(7):301–308, 2006

Reference 44

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source=pdf_text observed=2026-08-01T07:07:45.415686Z digest=sha256:39a4cf785f576832af2ce4bba0416b51879ef2abaa9903f397be6f3dda01ef67

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