Paper Citation Record · LEDGER

Moderating the Generalization of Score-based Generative Model

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.07229.

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

pith.paper-citation-record.v1
2412.07229 v2

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measured 48 of 48 reference resolution

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measured 48 of 48 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 5bfdee99-26dd-4c11-9d87-1d80d437836c · outbound

This paper cites A minimal subset of fea- tures using feature selection for handwritten digit recognition.

Moderating the Generalization of Score-based Generative Model A minimal subset of fea- tures using feature selection for handwritten digit recognition

Reference 1

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Observation 6e49b429-1e2b-42f1-bf60-f04d10448120 · outbound

This paper cites Gradient Surgery for One-shot Unlearning on Generative Model.

Moderating the Generalization of Score-based Generative Model Gradient Surgery for One-shot Unlearning on Generative Model

Reference 2

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This paper cites Extracting training data from diffusion models.

Moderating the Generalization of Score-based Generative Model Extracting training data from diffusion models

Reference 3

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This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Moderating the Generalization of Score-based Generative Model Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 4

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Observation f8de09f0-6875-40a3-ae16-25564185e004 · outbound

This paper cites Score-based diffusion models for accelerated mri.Medical image analysis, 80: 102479, 2022.

Moderating the Generalization of Score-based Generative Model Score-based diffusion models for accelerated mri.Medical image analysis, 80: 102479, 2022

Reference 5

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Observation f0c5578d-7357-4d24-b211-ace765b4a2eb · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

Moderating the Generalization of Score-based Generative Model An analysis of single-layer networks in unsupervised feature learning

Reference 6

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Observation 8ba30c98-9e82-4936-b9b4-a206dd465ebc · outbound

This paper cites Den- sity estimation using real nvp.

Moderating the Generalization of Score-based Generative Model Den- sity estimation using real nvp

Reference 7

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Observation 55d23447-0ab0-4707-876e-270ccb203cd4 · outbound

This paper cites Salun: Empowering machine unlearning via gradient-based weight saliency in both image classifica- tion and generation.

Moderating the Generalization of Score-based Generative Model Salun: Empowering machine unlearning via gradient-based weight saliency in both image classifica- tion and generation

Reference 8

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Observation 498a1f1f-81dc-41a2-82f9-a0d9f70ce840 · outbound

This paper cites Video prediction using score-based conditional density estimation.

Moderating the Generalization of Score-based Generative Model Video prediction using score-based conditional density estimation

Reference 9

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Observation 4236a408-1214-4b62-823c-9cf814cda801 · outbound

This paper cites Erasing concepts from diffusion models.

Moderating the Generalization of Score-based Generative Model Erasing concepts from diffusion models

Reference 10

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Observation a3237c1b-e9b4-423c-b57b-8ae0f377e7be · outbound

This paper cites Unified concept editing in diffusion models.

Moderating the Generalization of Score-based Generative Model Unified concept editing in diffusion models

Reference 11

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Observation 538f0225-3f87-4ca5-988e-730e92b8725c · outbound

This paper cites Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models.

Moderating the Generalization of Score-based Generative Model Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models

Reference 12

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Observation 3df95949-e444-4b58-8b5b-4fd634332d09 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

Moderating the Generalization of Score-based Generative Model Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 13

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Observation 2d14a5be-9787-4caa-a51f-fd01b8d778d9 · outbound

This paper cites Continual learning for forgetting in deep generative models.

Moderating the Generalization of Score-based Generative Model Continual learning for forgetting in deep generative models

Reference 14

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Observation 6ef163f5-b7ad-4689-82f2-fbb576cb4113 · outbound

This paper cites Selective amnesia: A continual learning approach to forgetting in deep generative models.

Moderating the Generalization of Score-based Generative Model Selective amnesia: A continual learning approach to forgetting in deep generative models

Reference 15

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Observation 620de255-fdf5-4831-bf32-ea8814017517 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Moderating the Generalization of Score-based Generative Model Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 16

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Observation 4fc5344b-e83f-4cd6-aaf6-2ebded9dcf7b · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Moderating the Generalization of Score-based Generative Model Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

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Observation 1304219e-a442-4ddc-81d9-4da9ab5c9815 · outbound

This paper cites Fastai: a layered api for deep learning.Information, 11(2):108, 2020.

Moderating the Generalization of Score-based Generative Model Fastai: a layered api for deep learning.Information, 11(2):108, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:01:28.877272Z

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Observation 80d0eca2-9e83-4e1e-b869-7e72dbc3bf8c · outbound

This paper cites Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations.

Moderating the Generalization of Score-based Generative Model Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations

Reference 19

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This paper cites Kingma and Max Welling.

Moderating the Generalization of Score-based Generative Model Kingma and Max Welling

Reference 20

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Observation c99c9064-40b7-43b1-be51-18942a3ed51b · outbound

This paper cites Data redaction from pre-trained gans.

Moderating the Generalization of Score-based Generative Model Data redaction from pre-trained gans

Reference 21

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Observation 5245b00e-59f9-4d94-a576-7ea949b16c72 · outbound

This paper cites Learning multiple layers of features from tiny images.

Moderating the Generalization of Score-based Generative Model Learning multiple layers of features from tiny images

Reference 22

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Observation 73c813e0-7aa5-4556-870f-64e0bcff83ed · outbound

This paper cites Ablating concepts in text-to-image diffusion models.

Moderating the Generalization of Score-based Generative Model Ablating concepts in text-to-image diffusion models

Reference 23

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Observation d28497f6-b9da-48c2-9f02-13ea86567586 · outbound

This paper cites Deep learning face attributes in the wild.

Moderating the Generalization of Score-based Generative Model Deep learning face attributes in the wild

Reference 24

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Observation 73ec0713-ca18-4d33-861a-5024aaa219e5 · outbound

This paper cites Mace: Mass concept erasure in diffusion 9 models.

Moderating the Generalization of Score-based Generative Model Mace: Mass concept erasure in diffusion 9 models

Reference 25

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Observation 33c9a0db-3959-4f1d-95ac-613511df3bb2 · outbound

This paper cites Estimating high order gradients of the data distribution by de- noising.Advances in Neural Information Processing Systems, 34:25359–25369, 2021.

Moderating the Generalization of Score-based Generative Model Estimating high order gradients of the data distribution by de- noising.Advances in Neural Information Processing Systems, 34:25359–25369, 2021

Reference 26

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This paper cites Feature unlearning for pre-trained gans and vaes.

Moderating the Generalization of Score-based Generative Model Feature unlearning for pre-trained gans and vaes

Reference 27

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This paper cites Improved denoising diffusion probabilistic models.

Moderating the Generalization of Score-based Generative Model Improved denoising diffusion probabilistic models

Reference 28

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This paper cites Editing implicit assumptions in text-to-image diffusion models.

Moderating the Generalization of Score-based Generative Model Editing implicit assumptions in text-to-image diffusion models

Reference 29

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Observation ea38d0c9-1059-4ed1-bcf8-064a622894b9 · outbound

This paper cites Efficient learning of generative models via finite-difference score matching.Advances in Neural Information Processing Systems, 33:19175–19188, 2020.

Moderating the Generalization of Score-based Generative Model Efficient learning of generative models via finite-difference score matching.Advances in Neural Information Processing Systems, 33:19175–19188, 2020

Reference 30

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Observation 4f7df055-9e1b-4311-83d0-9af9333b788f · outbound

This paper cites Generative ai, ex- plainability, and score-based natural language processing in benefits administration.Journal of Cross-disciplinary Re- search in Computational Law, 2(2), 2024.

Moderating the Generalization of Score-based Generative Model Generative ai, ex- plainability, and score-based natural language processing in benefits administration.Journal of Cross-disciplinary Re- search in Computational Law, 2(2), 2024

Reference 31

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Observation 36aa5448-46d1-45b7-b836-b021c30649ad · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Moderating the Generalization of Score-based Generative Model Learning transferable visual models from natural language supervi- sion

Reference 32

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This paper cites Red-Teaming the Stable Diffusion Safety Filter.

Moderating the Generalization of Score-based Generative Model Red-Teaming the Stable Diffusion Safety Filter

Reference 33

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Moderating the Generalization of Score-based Generative Model High-resolution image synthesis with latent diffusion models

Reference 34

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This paper cites Raising the Cost of Malicious AI-Powered Image Editing.

Moderating the Generalization of Score-based Generative Model Raising the Cost of Malicious AI-Powered Image Editing

Reference 35

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This paper cites Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models.

Moderating the Generalization of Score-based Generative Model Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models

Reference 36

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This paper cites Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy.

Moderating the Generalization of Score-based Generative Model Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 37

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This paper cites Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.

Moderating the Generalization of Score-based Generative Model Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Reference 38

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This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

Moderating the Generalization of Score-based Generative Model Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 39

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This paper cites Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020.

Moderating the Generalization of Score-based Generative Model Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020

Reference 40

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This paper cites Sliced score matching: A scalable approach to density and score estimation.

Moderating the Generalization of Score-based Generative Model Sliced score matching: A scalable approach to density and score estimation

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This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

Moderating the Generalization of Score-based Generative Model Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

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Observation d6bf5115-46f3-45dd-a21c-2b6022384c3a · outbound

This paper cites Generative Adversarial Networks Unlearning.

Moderating the Generalization of Score-based Generative Model Generative Adversarial Networks Unlearning

Reference 43

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This paper cites On the necessity of auditable algorithmic definitions for machine unlearning.

Moderating the Generalization of Score-based Generative Model On the necessity of auditable algorithmic definitions for machine unlearning

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Observation 30ac80b1-ebd2-444c-8189-682621a0f9a1 · outbound

This paper cites Erasing Undesirable Influence in Diffusion Models.

Moderating the Generalization of Score-based Generative Model Erasing Undesirable Influence in Diffusion Models

Reference 45

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This paper cites Scoredec: A phase-preserving high- fidelity audio codec with a generalized score-based diffusion post-filter.

Moderating the Generalization of Score-based Generative Model Scoredec: A phase-preserving high- fidelity audio codec with a generalized score-based diffusion post-filter

Reference 46

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Observation acef196b-3a07-48c2-8125-f0d865bef6ec · outbound

This paper cites Machine unlearning: Solutions and challenges.IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.

Moderating the Generalization of Score-based Generative Model Machine unlearning: Solutions and challenges.IEEE Transactions on Emerging Topics in Computational Intelligence, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:01:28.440361Z

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Observation 6df6f581-154d-4703-889d-a7264953105c · outbound

This paper cites Forget-me-not: Learning to forget in text-to- image diffusion models.

Moderating the Generalization of Score-based Generative Model Forget-me-not: Learning to forget in text-to- image diffusion models

Reference 48

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