Paper Citation Record · LEDGER

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2504.19288.

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pith.paper-citation-record.v1
2504.19288 v1

Coverage vector

measured 38 of 38 reference resolution

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38 of 38 outbound references displayed

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Outbound references

Observation 3738cd99-c7d4-4540-9e47-eec061a3e71d · outbound

This paper cites Mismatched estimation and relative entropy ,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Mismatched estimation and relative entropy ,

Reference 1

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This paper cites Estimation of non-normaliz ed statistical models by score matching.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Estimation of non-normaliz ed statistical models by score matching

Reference 2

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This paper cites Regularized estimation of image statistics by score matching,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Regularized estimation of image statistics by score matching,

Reference 3

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This paper cites Estimating th e Hessian by back-propagating curvature,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Estimating th e Hessian by back-propagating curvature,

Reference 4

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This paper cites A connection between score matching and den oising au- toencoders,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise A connection between score matching and den oising au- toencoders,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.861814Z

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Observation c292ed11-2f05-4be5-98ee-3510af4bf665 · outbound

This paper cites Score-based generative modeling through stocha stic differential equations,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Score-based generative modeling through stocha stic differential equations,

Reference 6

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Observation e4748019-2574-4d7e-8bdf-ab112f0b7409 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Generative modeling by estimating gradients of the data distribution,

Reference 7

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This paper cites Interpretation and generalization of score mat ching,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Interpretation and generalization of score mat ching,

Reference 8

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This paper cites Constructing non-isotro pic Gaussian diffusion model using isotropic Gaussian diffusion model f or image editing,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Constructing non-isotro pic Gaussian diffusion model using isotropic Gaussian diffusion model f or image editing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.818621Z

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Observation 78ad6e99-b599-41ce-8be5-16cd36492e8d · outbound

This paper cites Blue noise for diffusion models,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Blue noise for diffusion models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.805741Z

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Observation 156f065f-a2c3-4c30-8816-76fc672a9202 · outbound

This paper cites Blurring diffusion mode ls,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Blurring diffusion mode ls,

Reference 11

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This paper cites A note on the evaluation of generative models.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise A note on the evaluation of generative models

Reference 12

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This paper cites A minimax approach to supervised l earning,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise A minimax approach to supervised l earning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.782533Z

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This paper cites Hessian and concavity of mu tual information, differential entropy, and entropy power in li near vector Gaussian channels,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Hessian and concavity of mu tual information, differential entropy, and entropy power in li near vector Gaussian channels,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.770187Z

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Observation 3d4112b7-c8fb-48cb-a45d-2ac68bc49255 · outbound

This paper cites Entropic characteriz ation of optimal rates for learning Gaussian mixtures,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Entropic characteriz ation of optimal rates for learning Gaussian mixtures,

Reference 15

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Observation 005bf620-5075-4cdc-835a-5a3b9c892eab · outbound

This paper cites Generative adversar ial nets,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Generative adversar ial nets,

Reference 16

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This paper cites A convex duality framework for GAN s,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise A convex duality framework for GAN s,

Reference 17

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Observation 7801fffc-b05b-492f-933c-5987196a781e · outbound

This paper cites f -GAN: Training generative neural samplers using variational divergence minimizatio n,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise f -GAN: Training generative neural samplers using variational divergence minimizatio n,

Reference 18

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Gradient of mutual informatio n in linear vector Gaussian channels,

Reference 19

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Mismatched estimation and relative entrop y,

Reference 20

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Observation 74fc8bb1-f1b0-4e99-9242-5eb0b3d2393c · outbound

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Theory of statistical estimation,

Reference 21

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Unresolved cited work

Reference 22

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This paper cites On information-type measure of differen ce of probability distributions and indirect observations,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise On information-type measure of differen ce of probability distributions and indirect observations,

Reference 23

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Observation 4dfa2f35-39e4-4e78-8ad4-8db21b55e131 · outbound

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Denoising diffusion prob abilistic models,

Reference 24

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Mutual information and minimum mean-square error in Gaussian channels,

Reference 25

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This paper cites Mismatched estimation and rel ative entropy in vector gaussian channels,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Mismatched estimation and rel ative entropy in vector gaussian channels,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.648883Z

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This paper cites Relative entropy and score function: New infor mation- estimation relationships through arbitrary additive pert urbation,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Relative entropy and score function: New infor mation- estimation relationships through arbitrary additive pert urbation,

Reference 27

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Observation 52c967bd-9e36-4ffe-afdc-a72866170141 · outbound

This paper cites A variation al perspective on diffusion-based generative models and score matching,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise A variation al perspective on diffusion-based generative models and score matching,

Reference 28

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This paper cites Understanding Gaus sian noise mismatch: A Hellinger distance approach,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Understanding Gaus sian noise mismatch: A Hellinger distance approach,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.616928Z

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This paper cites On the analysis of GAN-based image-to-image translation with Gaussian noise injection,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise On the analysis of GAN-based image-to-image translation with Gaussian noise injection,

Reference 30

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Maximum lik elihood training of score-based diffusion models,

Reference 31

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Lossy Compression with Gaussian Diffusion

Reference 32

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Principle d hybrids of generative and discriminative models,

Reference 33

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Good semi-supervised learning that requires a bad GAN,

Reference 34

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Observation 0348d0b0-8088-435c-a524-c4d15e876f81 · outbound

This paper cites PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Reference 35

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This paper cites Sliced score matc hing: A scalable approach to density and score estimation,.

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Sliced score matc hing: A scalable approach to density and score estimation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.555053Z

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Observation 4456c2dd-279f-4beb-b157-f61e7b6cf4ab · outbound

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

Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models

Reference 37

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Generalized Score Matching: Bridging $f$-Divergence and Statistical Estimation Under Correlated Noise V oid-and-cluster method for dither ar ray generation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:04:59.542741Z

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