Paper Citation Record · LEDGER

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.08976.

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

pith.paper-citation-record.v1
2605.08976 v1

Coverage vector

measured 43 of 43 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation fccb4689-547c-4aa2-b0ed-8ce88674b332 · outbound

This paper cites Reverse-time diffusion equation models.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Reverse-time diffusion equation models

Reference 1

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This paper cites Demystifying MMD GANs.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Demystifying MMD GANs

Reference 2

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This paper cites doi:10.1016/0304-4149(86)90114-6 U.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations doi:10.1016/0304-4149(86)90114-6 U

Reference 3

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Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Unresolved cited work

Reference 4

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This paper cites URL https://doi.org/10.1214/ aop/1176992362.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations URL https://doi.org/10.1214/ aop/1176992362

Reference 5

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This paper cites https://proceedings.neurips.cc/paper_files/paper/2017/file/ 8a1d694707eb0fefe65871369074926d-Paper.pdf Jonathan Ho, Ajay Jain, and Pieter Abbeel.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations https://proceedings.neurips.cc/paper_files/paper/2017/file/ 8a1d694707eb0fefe65871369074926d-Paper.pdf Jonathan Ho, Ajay Jain, and Pieter Abbeel

Reference 6

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This paper cites Emiel Hoogeboom and Tim Salimans.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Emiel Hoogeboom and Tim Salimans

Reference 7

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This paper cites Blurring Diffusion Models.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Blurring Diffusion Models

Reference 8

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Observation a0cf5fd6-b80f-4cd2-b01f-323085bf6b07 · outbound

This paper cites FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

Reference 9

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Observation 3c28853f-0087-45e1-818d-9b344c7826bb · outbound

This paper cites Hutzenthaler and A.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Hutzenthaler and A

Reference 10

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Observation d4919125-e4e6-4102-928a-5748fcda3cf6 · outbound

This paper cites Diederik P Kingma.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Diederik P Kingma

Reference 11

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Observation 9348f708-7bda-421f-bf91-d750838b0ada · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Adam: A Method for Stochastic Optimization

Reference 12

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This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 13

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Reference 14

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Observation 75e5dff2-c2e9-458c-8be2-dc8d9a877eb8 · outbound

This paper cites Score-based Diffusion Models in Function Space.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Score-based Diffusion Models in Function Space

Reference 15

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This paper cites Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le

Reference 16

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Observation 542c48a0-4c8e-4002-98d6-dc09d8990d59 · outbound

This paper cites Flow Matching for Generative Modeling.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Flow Matching for Generative Modeling

Reference 17

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This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 19

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This paper cites 1989), 315–347.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations 1989), 315–347

Reference 20

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This paper cites Severi Rissanen, Markus Heinonen, and Arno Solin.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Severi Rissanen, Markus Heinonen, and Arno Solin

Reference 21

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Reference 22

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This paper cites ImageNet Large Scale Visual Recognition Challenge.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations ImageNet Large Scale Visual Recognition Challenge

Reference 23

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This paper cites Yang Song.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Yang Song

Reference 25

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Observation 964c177a-6cd1-47e1-9a67-c53c1bb6c3fa · outbound

This paper cites Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 27

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Observation 88c3de6d-c461-491a-a020-8ab4197058d4 · outbound

This paper cites Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Reference 28

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This paper cites Edge-preserving noise for diffusion models.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Edge-preserving noise for diffusion models

Reference 29

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This paper cites Computer Graphics Forum(2026).

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Computer Graphics Forum(2026)

Reference 30

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This paper cites Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 31

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This paper cites Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, and Yu-Gang Jiang.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, and Yu-Gang Jiang

Reference 32

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Observation 56364d8c-580f-4943-ad58-e120ef7ff60b · outbound

This paper cites Surveys57, 2 (2024), 1–42.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Surveys57, 2 (2024), 1–42

Reference 33

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This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 34

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This paper cites Linqi Zhou, Aaron Lou, Samar Khanna, and Stefano Ermon.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Linqi Zhou, Aaron Lou, Samar Khanna, and Stefano Ermon

Reference 35

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Observation f5fa8079-9a98-4a6b-a8b0-7d48fd219f15 · outbound

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Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Denoising Diffusion Bridge Models

Reference 36

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Reference 37

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Observation f02059e2-73fb-41bc-8824-a128c2447977 · outbound

This paper cites The drift term (4) depends on g1(t,∇U t), which introduces directional weighting to the smoothing property of the drift.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations The drift term (4) depends on g1(t,∇U t), which introduces directional weighting to the smoothing property of the drift

Reference 38

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This paper cites In particular, they support structured perturbations via non-isotropic noise, as demonstrated in edge-aware extensions such as (Vandersanden et al., 2024).

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations In particular, they support structured perturbations via non-isotropic noise, as demonstrated in edge-aware extensions such as (Vandersanden et al., 2024)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T21:46:54.068656Z

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Observation 595a492c-16a7-49af-b1fb-5357ea396744 · outbound

This paper cites Rather than generating images unconditionally from noise, DDBM learn mappings between two given image distributions by modeling the bridge dynamics connecting them.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Rather than generating images unconditionally from noise, DDBM learn mappings between two given image distributions by modeling the bridge dynamics connecting them

Reference 40

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Reference 42

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Observation 890e9729-88a9-4410-bca8-b2dc3117ec56 · outbound

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Reference 43

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Pith citing papers

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