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Paper Citation Record · LEDGER

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering

As of 21 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2607.17411.

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

pith.paper-citation-record.v1
2607.17411 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:06:41.635680Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

69 of 69 outbound references displayed

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  • unresolved69
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f5f3de7-50c7-47bb-9246-152364a8125c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Advances in Neural Information Processing Systems , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T18:06:34.354326Z digest=sha256:8f967486a42304a2fefc7fb55f20931409809839894657a4325e0f917542d29a

Observation d4f3119f-e330-44fc-ab58-0a05d5ad72f1 · outbound

This paper cites Advances in neural information processing systems , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Advances in neural information processing systems , volume=

Reference 2

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source=arxiv_source observed=2026-08-01T18:06:34.428975Z digest=sha256:714764440a59ef78e7822b789836ff2f0ecf04ea969e26ced54b712d5693ac54

Observation d24d8d45-8220-4b73-b002-56739def66e0 · outbound

This paper cites Advances in neural information processing systems , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Advances in neural information processing systems , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T18:06:34.553689Z digest=sha256:e5ed4a07513bfc68bfe3bba49bf4e894c99d8f5fb35104b96e22142359ff98c4

Observation 9ce60927-eaf1-4bbc-9330-d73643bb05fa · outbound

This paper cites 1994 , publisher=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 1994 , publisher=

Reference 4

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source=arxiv_source observed=2026-08-01T18:06:34.732787Z digest=sha256:b6711e50e5b5ca6e56561265692bb590bed5318a31e30164328b64b08de63ba7

Observation e924e5e2-74fb-4fa1-9fa9-6d9b6e7f1b44 · outbound

This paper cites Learning Surrogate Losses.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Learning Surrogate Losses

Reference 5

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source=arxiv_source observed=2026-08-01T18:06:34.922918Z digest=sha256:206e5e41b84268f598213f6a5970bdd263f7496b7eede19edd3c584ff0aabf67

Observation 05d0b5b7-ce0d-465e-9f3d-1c54e67f8700 · outbound

This paper cites ACM Transactions on Graphics (TOG) , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics (TOG) , volume=

Reference 6

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source=arxiv_source observed=2026-08-01T18:06:35.076332Z digest=sha256:3df9f2380a87b8c5fe4938e16b5b60c1dbd4336e1f0b7446f7ea76a3286a127d

Observation 23492f4c-4693-451d-befa-c15221d2eeae · outbound

This paper cites Proceedings of ICNN'95-international conference on neural networks , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of ICNN'95-international conference on neural networks , volume=

Reference 7

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source=arxiv_source observed=2026-08-01T18:06:35.203771Z digest=sha256:da13899c946d04d0bf1e966ef46dccadb19219dfcc057d4cec868cb794fd897d

Observation 2a7fc6d3-a78d-4410-9128-c8f130552e9e · outbound

This paper cites Computer Graphics Forum , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Computer Graphics Forum , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T18:06:35.355802Z digest=sha256:0588d13df1d4e25e723fb8bc42d2066c6672091dda61a912f3061fcb9affaac3

Observation fd5d12eb-1a5e-497c-bbd3-705fc947094f · outbound

This paper cites IEEE transactions on automatic control , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering IEEE transactions on automatic control , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T18:06:35.532542Z digest=sha256:0017794233dbe62cd6dd6b8081ad88c45333f7367a3f26e25b5a0f3ae0a734e7

Observation a9f313fb-4965-4a57-8cce-0d2c53e1a025 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 10

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source=arxiv_source observed=2026-08-01T18:06:35.694385Z digest=sha256:a89544f7c1aeed469e9dfa49e195b795bc082f6e3be207ee88e6f2cfca86f698

Observation 66cf03f7-84d4-43b5-8ded-3ffec7bb7305 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 11

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source=arxiv_source observed=2026-08-01T18:06:35.801087Z digest=sha256:2708b25f84c3cf7d44cbe6a4e9fd79424ed9acafb9828ef63c4e5503ab61dd13

Observation c9f4e6d2-206b-4a65-9add-7042a2832aa5 · outbound

This paper cites ACM Transactions on Graphics , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics , volume=

Reference 12

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source=arxiv_source observed=2026-08-01T18:06:35.952030Z digest=sha256:ef2ce165b63ddf1abc5d9af2a00690a2451694238d750a5ea71f4efd4de372ef

Observation 346e4ee1-021c-4b6d-a496-27c12618c259 · outbound

This paper cites 2009 , publisher=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2009 , publisher=

Reference 13

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source=arxiv_source observed=2026-08-01T18:06:36.041752Z digest=sha256:b75bb5ebbdc034338b66b87947fde2f40e4cca387b9f47b331b368d55787eb4d

Observation 2d0c3672-85cd-4641-abab-47af0d52480a · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 14

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source=arxiv_source observed=2026-08-01T18:06:36.202897Z digest=sha256:2020bad0186cbea288fedb21ae7f139e61a8ddd498b69f11f0b2747ebc174480

Observation 08ffb6ba-dbcb-4766-86a0-56877d494a74 · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Deep ViT Features as Dense Visual Descriptors

Reference 15

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source=arxiv_source observed=2026-08-01T18:06:36.322250Z digest=sha256:9bd00e81db9419c8717afef1d65765db2139530b1a62d3af6d4f52ced6c93a6b

Observation 7466f7d4-0eeb-464b-94a2-471cdcd69a84 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering DINOv2: Learning Robust Visual Features without Supervision

Reference 16

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source=arxiv_source observed=2026-08-01T18:06:36.415629Z digest=sha256:9219d8a59e55fbb56eb19669d6345999efca2e5946cae81ef43ea6b0dd7cf706

Observation 40835bc4-ca40-4f26-b514-066817e9bd4a · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 17

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source=arxiv_source observed=2026-08-01T18:06:36.545755Z digest=sha256:c2cc0cefb65baa89b2ed8fb5557a08de3229198ac5b46991df46ddc0e06b831c

Observation 49e50c4b-5d93-488d-a5aa-eedfceddfae2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 18

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source=arxiv_source observed=2026-08-01T18:06:36.668361Z digest=sha256:83ea126bb74f9fd16c0ffb7610b07a64d3ae0361c8eb4c73ddd25d578d813b4a

Observation 621bef01-d27f-4e7e-914e-6d45b55812a2 · outbound

This paper cites A Neural Algorithm of Artistic Style.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering A Neural Algorithm of Artistic Style

Reference 19

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source=arxiv_source observed=2026-08-01T18:06:36.791276Z digest=sha256:95f97c7528a95f798ea88f3a435c05fd27ab3bcf52e56a726c7ad91b9649c890

Observation 4123882b-e0a3-4c71-849e-b2fd64482296 · outbound

This paper cites Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

Reference 20

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source=arxiv_source observed=2026-08-01T18:06:36.949586Z digest=sha256:659f3af2ebf36ce61c2c42cfd4c60981fb5fbfc29c1f390893a4cf3b84267d6f

Observation cf777331-6851-4652-afed-b7d9205e75c2 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 21

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source=arxiv_source observed=2026-08-01T18:06:37.071780Z digest=sha256:499cfa14f4a48ef70d09c91ffb6a0b1605b77cc7e44c45ff9bcee0a4225cd202

Observation 5c7d37a9-c65a-4ddc-968c-8f9dfbc4392c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

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source=arxiv_source observed=2026-08-01T18:06:37.162959Z digest=sha256:6f0deec06072ea2ef74f9a99d3b46b01dd51ccc151c44403248d620319c7297e

Observation 767aa772-5bc3-404d-9222-f843eba99b4f · outbound

This paper cites an unresolved cited work.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-01T18:06:37.273729Z digest=sha256:80135e496449eaec4288ff7b5b24a2eb9f49b26d7176b8798b7dcea5417a50e4

Observation f9cf35eb-2f9e-4af9-93b1-693330918424 · outbound

This paper cites ACM SIGGRAPH 2024 Conference Papers , year=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM SIGGRAPH 2024 Conference Papers , year=

Reference 24

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source=arxiv_source observed=2026-08-01T18:06:37.422189Z digest=sha256:36069229f3e1ae58ea690a76a1e117abd2ec336a336935cfec33fefe29cbd028

Observation 8d6005dc-2a35-49e9-9eb1-c422efa32a22 · outbound

This paper cites 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=

Reference 25

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source=arxiv_source observed=2026-08-01T18:06:37.546905Z digest=sha256:9a0b050882c7a873d02811e24d7cc0df89f1ab4c799e7a8a3d66b5861cb48997

Observation 7c5fd850-2929-4857-bee5-0fcda47b74d5 · outbound

This paper cites ACM Transactions on Graphics (ToG) , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics (ToG) , volume=

Reference 26

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source=arxiv_source observed=2026-08-01T18:06:37.655178Z digest=sha256:e613745e0d5f10db434003c67a0eb3e0da15a56e2380d48a34e74e710ba366bb

Observation aa18e944-dc8b-4d74-bdcd-a250cdf883e8 · outbound

This paper cites 2022 , school=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2022 , school=

Reference 27

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source=arxiv_source observed=2026-08-01T18:06:37.843448Z digest=sha256:7affcf26b9d8d1b990829a547c37dbd1e0dccce8da69a84b5bbef94d959febf5

Observation 098eaae3-c233-4fc0-a2c6-fc0fcdc64c66 · outbound

This paper cites d: Fast, modular and differentiable shader programming , author=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering d: Fast, modular and differentiable shader programming , author=

Reference 28

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source=arxiv_source observed=2026-08-01T18:06:38.019371Z digest=sha256:bbf47de33696480812fbf18d4a8a39c2e82c3185f30b0e63fb1d0eedd5bc4494

Observation ac5dc405-0998-42ff-bc43-958c6028ba13 · outbound

This paper cites ACM Transactions on Graphics (TOG) , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics (TOG) , volume=

Reference 29

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source=arxiv_source observed=2026-08-01T18:06:38.133398Z digest=sha256:0ed2f0cd2029cd07605c2b854d660b73eb1f51ce136d6ae4b57742240f2f6b1e

Observation 00126802-7735-453f-8cc1-9cdb8f8f5f84 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 30

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source=arxiv_source observed=2026-08-01T18:06:38.237229Z digest=sha256:57d56e64d62f96ee5eb336cf2ad1bd1063bb4317b52032bde95d2bf34828f1c4

Observation 836f1086-a2b0-4bcc-b68a-9a8ae476b84a · outbound

This paper cites Transforming a Non-Differentiable Rasterizer into a Differentiable One with Stochastic Gradient Estimation.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Transforming a Non-Differentiable Rasterizer into a Differentiable One with Stochastic Gradient Estimation

Reference 31

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Observation 78d10c13-cfc4-40d4-8e47-67be720a0897 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 32

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Observation 886e2276-9714-4e85-9ac0-fb4b37ea952d · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 33

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source=arxiv_source observed=2026-08-01T18:06:38.559939Z digest=sha256:63e5d80ac8e3faf8a210212ec2933908b13d95a89ea9fef2c7ad6aa0a9cd1d7f

Observation e062c7b7-8ae5-48a8-bd78-d6d34cc0adfa · outbound

This paper cites ACM Transactions on Graphics (TOG) , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics (TOG) , volume=

Reference 34

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Observation d41c003c-5c6a-49b0-9a35-102dab2b7188 · outbound

This paper cites Computing Light Transport Gradients using the Adjoint Method.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Computing Light Transport Gradients using the Adjoint Method

Reference 35

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source=arxiv_source observed=2026-08-01T18:06:38.717147Z digest=sha256:3b9ee6c4526a80896114e36a9c7488076e6fdedae33e2aafbae2ffab0c876fc8

Observation be3c016a-a2fa-4500-8b39-cc8226fd4791 · outbound

This paper cites ACM Transactions on Graphics (TOG) , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics (TOG) , volume=

Reference 36

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source=arxiv_source observed=2026-08-01T18:06:38.788078Z digest=sha256:f0307e451b6b944d0b4255458d4853401b5cc44363059a96e53b64f8c7c590b6

Observation ea4bc156-70a7-4329-af37-ba1253dc4c7d · outbound

This paper cites ACM Transactions on Graphics (TOG) , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Transactions on Graphics (TOG) , volume=

Reference 37

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Observation aaf79e45-c524-45f0-8c36-7aaf46d7ad2c · outbound

This paper cites International Conference on Machine Learning , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering International Conference on Machine Learning , pages=

Reference 38

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Observation aa38d78f-2b26-48c2-8d0d-05887e144f2b · outbound

This paper cites Towards a new evolutionary computation: Advances in the estimation of distribution algorithms , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Towards a new evolutionary computation: Advances in the estimation of distribution algorithms , pages=

Reference 39

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no resolver link, observed 2026-08-01T18:06:39.061117Z

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source=arxiv_source observed=2026-08-01T18:06:39.061117Z digest=sha256:f1a556758826675dfd35c80f2eb98d23322f3b0f2c2fa07d17f66b78e24476b3

Observation b38a6433-d3d3-4d45-89b0-2c3c97df4a92 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Back to Basics: Let Denoising Generative Models Denoise

Reference 40

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no resolver link, observed 2026-08-01T18:06:39.168166Z

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source=arxiv_source observed=2026-08-01T18:06:39.168166Z digest=sha256:88cba9c13a71739af2a85ff65657f4384a92e5577682b14eaabcdbc263a8330a

Observation 4d7be595-962d-46de-bed2-52eb909f1925 · outbound

This paper cites Physica A: Statistical Mechanics and its Applications , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Physica A: Statistical Mechanics and its Applications , volume=

Reference 41

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no resolver link, observed 2026-08-01T18:06:39.232007Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:06:39.232007Z digest=sha256:92ecb52103f2f58eb1222fd800ccfffa3030a5a7711fb5500fe04ae96ac67e1d

Observation 8c7f62ae-fd17-4e5c-ab19-a2fb35c1d181 · outbound

This paper cites Journal of global optimization , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Journal of global optimization , volume=

Reference 42

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no resolver link, observed 2026-08-01T18:06:39.313976Z

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source=arxiv_source observed=2026-08-01T18:06:39.313976Z digest=sha256:5099f4073964bfb52384a98da75ce845d3a24f892ece0469c85818fdc71d47a4

Observation cfe94355-dc93-4c1a-bd12-9ae2b51c148e · outbound

This paper cites SIAM journal on computing , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering SIAM journal on computing , volume=

Reference 43

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no resolver link, observed 2026-08-01T18:06:39.433003Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:06:39.433003Z digest=sha256:6c3ee40ca413c0f53bc911d29efbfd4a2ef2db73c399fd73178b4951ab2488c3

Observation 39abd1ec-43c4-488a-904f-10815ea4a96f · outbound

This paper cites DINOv3.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering DINOv3

Reference 44

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unresolved
no resolver link, observed 2026-08-01T18:06:39.516715Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:06:39.516715Z digest=sha256:2f8aacb6b3b0fd3123028e0b5c9261a015006ff14badd783e8a3afdf3d69d9c2

Observation 66bbed22-62f5-4bf5-90fc-6aefa24f59eb · outbound

This paper cites an unresolved cited work.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Unresolved cited work

Reference 45

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no resolver link, observed 2026-08-01T18:06:39.617045Z

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source=arxiv_source observed=2026-08-01T18:06:39.617045Z digest=sha256:6dac7fd7813a206e0dec7ca85cbf24cee1c0741a2360a96f273139accede0bb6

Observation 4e55bacc-7401-4b49-bb1f-92b7ad58905a · outbound

This paper cites Transactions on Graphics (Proceedings of SIGGRAPH) , volume =.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Transactions on Graphics (Proceedings of SIGGRAPH) , volume =

Reference 46

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no resolver link, observed 2026-08-01T18:06:39.793103Z

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source=arxiv_source observed=2026-08-01T18:06:39.793103Z digest=sha256:d4e6c99f14bc05eca7a2de48c1522c569b3824a108fc93e959e628cc6f48e8b0

Observation 0524b947-b366-4534-8102-56525d9f42e2 · outbound

This paper cites Transactions on Graphics (Proceedings of SIGGRAPH) , volume =.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Transactions on Graphics (Proceedings of SIGGRAPH) , volume =

Reference 47

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no resolver link, observed 2026-08-01T18:06:39.955245Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:06:39.955245Z digest=sha256:2851cd208d7309c5accbf9eff86fffdac51f65cbb310b570609fd8e495dbb391

Observation 46e44c99-07d6-428d-bd92-d8d14691f07f · outbound

This paper cites Transactions on Graphics (Proceedings of SIGGRAPH Asia) , volume =.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Transactions on Graphics (Proceedings of SIGGRAPH Asia) , volume =

Reference 48

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no resolver link, observed 2026-08-01T18:06:40.113573Z

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source=arxiv_source observed=2026-08-01T18:06:40.113573Z digest=sha256:67d7b7a82d6fbfd357c8fcbe82b5551c3d0287d74af1844f323d863c9ae1bc86

Observation c75e7559-da2f-4bc6-bd97-bd8cd98cf07a · outbound

This paper cites ACM Trans.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Trans

Reference 49

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no resolver link, observed 2026-08-01T18:06:40.285249Z

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source=arxiv_source observed=2026-08-01T18:06:40.285249Z digest=sha256:f59ca84bc9c0000ea0a4b6386951282a86ca0f71e1752b692d36c157f02527dd

Observation ae283392-da41-4d2a-b156-5f04c49f2596 · outbound

This paper cites ACM Trans.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Trans

Reference 50

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no resolver link, observed 2026-08-01T18:06:40.407453Z

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source=arxiv_source observed=2026-08-01T18:06:40.407453Z digest=sha256:dd2113221c3407797746a125de4e5149f34846f9037978e993605aa8a29b465f

Observation 80e91792-2b8a-4017-8610-80fb52dbc017 · outbound

This paper cites Kirk\-patrick and C.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Kirk\-patrick and C

Reference 51

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no resolver link, observed 2026-08-01T18:06:40.499913Z

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source=arxiv_source observed=2026-08-01T18:06:40.499913Z digest=sha256:531338a7aa0c8d0a29ba13df88f7efa3eb9f9027f671949b3096abe7a23011ab

Observation cbf4a14a-ee20-4240-9647-52f00ac59402 · outbound

This paper cites Proceedings of the 15th annual conference companion on Genetic and evolutionary computation , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the 15th annual conference companion on Genetic and evolutionary computation , pages=

Reference 52

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no resolver link, observed 2026-08-01T18:06:40.605530Z

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source=arxiv_source observed=2026-08-01T18:06:40.605530Z digest=sha256:593604655c1d539aa3688422c2d06bf29ee91b3b2ed4407e9890ef0b477307b9

Observation 4f7e31d9-59ba-4d30-b2d3-f031524862f5 · outbound

This paper cites 2024 , url=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2024 , url=

Reference 53

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no resolver link, observed 2026-08-01T18:06:40.708374Z

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source=arxiv_source observed=2026-08-01T18:06:40.708374Z digest=sha256:53ac6465e75125660faf65b307103e4a5748569e57e379308f37189b923cc578

Observation f1b14b32-2b29-47ba-a05e-2a86a2aa9c36 · outbound

This paper cites European Conference on Computer Vision , year=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering European Conference on Computer Vision , year=

Reference 54

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unresolved
no resolver link, observed 2026-08-01T18:06:40.797821Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:06:40.797821Z digest=sha256:0147c8f7d15cd737f1b3c470809c4f99ddb18e7970b0d5a06addacef36e1ed27

Observation 1b708c70-16cb-4433-8a8e-9587d8d55771 · outbound

This paper cites 2017 , publisher=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2017 , publisher=

Reference 55

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no resolver link, observed 2026-08-01T18:06:40.885153Z

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source=arxiv_source observed=2026-08-01T18:06:40.885153Z digest=sha256:92aeee8a132e2c3a536e99d0d2a9741a3929cdc15cde2759d99338b0663da50d

Observation 92246149-df2c-4bcc-86fe-5b59513f5776 · outbound

This paper cites Advances in neural information processing systems , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Advances in neural information processing systems , volume=

Reference 56

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unresolved
no resolver link, observed 2026-08-01T18:06:40.934962Z

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source=arxiv_source observed=2026-08-01T18:06:40.934962Z digest=sha256:b05ebf1612fe756eb27c6be29a5a21774c4099fa33ff41def24c6ec045450536

Observation 6a6ccebb-6844-46a8-a764-aef1faf86ab9 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 57

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unresolved
no resolver link, observed 2026-08-01T18:06:40.990605Z

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source=arxiv_source observed=2026-08-01T18:06:40.990605Z digest=sha256:b8ad65a8bb954bf272fed1ebec1d4da19696921ab84d65835504ac6c089c5777

Observation 957c841e-2d2e-4f10-af39-17e134779d21 · outbound

This paper cites European conference on computer vision , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering European conference on computer vision , pages=

Reference 58

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no resolver link, observed 2026-08-01T18:06:41.055176Z

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source=arxiv_source observed=2026-08-01T18:06:41.055176Z digest=sha256:c182c9c5b90396a51d98a35b2363b5db51546ea0896425f08e0a48c57e61cffd

Observation b9294260-1268-48ea-9b91-a260ce3bd8e5 · outbound

This paper cites Entropy , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Entropy , volume=

Reference 59

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no resolver link, observed 2026-08-01T18:06:41.109128Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T18:06:41.109128Z digest=sha256:037a6ff2e5d60695b072f44e02e033af4dad0f2535bfe049d804b311a9e707d1

Observation 01e5abae-bb88-4037-ac73-5ae624273d3c · outbound

This paper cites International conference on machine learning , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering International conference on machine learning , pages=

Reference 60

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unresolved
no resolver link, observed 2026-08-01T18:06:41.159776Z

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source=arxiv_source observed=2026-08-01T18:06:41.159776Z digest=sha256:b5313d5777d263ffb131bcb44e91214616e6310fe2e97a908ae1f601663fddd7

Observation 786f7f71-cf1a-4e43-8184-179196001d2a · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 61

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no resolver link, observed 2026-08-01T18:06:41.215302Z

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source=arxiv_source observed=2026-08-01T18:06:41.215302Z digest=sha256:5c35d3a4199b94a270f817a366edd3bdf38136586f3015d253f3853d6a282e78

Observation ea6412a5-6516-4e81-b668-a8548c415fba · outbound

This paper cites European conference on computer vision , pages=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering European conference on computer vision , pages=

Reference 62

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no resolver link, observed 2026-08-01T18:06:41.272762Z

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source=arxiv_source observed=2026-08-01T18:06:41.272762Z digest=sha256:bb4b9ba95d1d7781bb8a79a7d486bd3692c7545ddb2c63af6bc456357f09f1f5

Observation 896d9518-3bb4-4c03-b496-5071745434d7 · outbound

This paper cites Computer graphics forum , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Computer graphics forum , volume=

Reference 63

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no resolver link, observed 2026-08-01T18:06:41.323822Z

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source=arxiv_source observed=2026-08-01T18:06:41.323822Z digest=sha256:7e7dd5d65c8624fe631117e2941079f98984c6469fa0825062905ee880c8e3ab

Observation a96a3b5f-e9a1-4575-a01b-7c77aaa7c432 · outbound

This paper cites IEEE Robotics & Automation Magazine , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering IEEE Robotics & Automation Magazine , volume=

Reference 64

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no resolver link, observed 2026-08-01T18:06:41.365958Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:06:41.365958Z digest=sha256:815a51229e72d44e3d2c73f44968b7cf96e0835ce83fe2da9cc1e68ed41a816d

Observation 0f6d805c-f8be-4ca0-a153-5379206b1d27 · outbound

This paper cites 2023 , version =.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2023 , version =

Reference 65

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unresolved
no resolver link, observed 2026-08-01T18:06:41.430018Z

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source=arxiv_source observed=2026-08-01T18:06:41.430018Z digest=sha256:dcde4a695b7434ea6cf680336cbd22ac57c710e82a9c33249ce2b0babf7cceec

Observation a580524b-b964-4b00-abb5-659215cef6c0 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 66

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no resolver link, observed 2026-08-01T18:06:41.480524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:06:41.480524Z digest=sha256:5f8e787456926a32a2cc9afcf5b8d1a0369418af850e977bba6ec2e4953ac788

Observation 3adf5416-48be-4f18-b15d-64f1530710ba · outbound

This paper cites ACM Trans.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering ACM Trans

Reference 67

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no resolver link, observed 2026-08-01T18:06:41.534273Z

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source=arxiv_source observed=2026-08-01T18:06:41.534273Z digest=sha256:03f4eaf703fb4b069e84530ccecdda4798e58686191acd7f3200b89ce9ca01be

Observation a5bfdaaa-3e77-4556-bb46-830f579f531f · outbound

This paper cites 2024 , url =.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering 2024 , url =

Reference 68

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no resolver link, observed 2026-08-01T18:06:41.591991Z

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source=arxiv_source observed=2026-08-01T18:06:41.591991Z digest=sha256:084c027a478fe949f9dfa33c4034df367921c6427979d38d5390e6268766ff62

Observation 8ae60e5a-550c-4e9a-9d5b-b1cb730d1d87 · outbound

This paper cites and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and.

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and

Reference 69

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no resolver link, observed 2026-08-01T18:06:41.635680Z

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source=arxiv_source observed=2026-08-01T18:06:41.635680Z digest=sha256:06def53987dacc0477801547b81e6b2239cfc477f3fed4d9f86a9bbeca81735d

Pith citing papers

No inbound Pith citation observations are available.