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Paper Citation Record · LEDGER

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.07008.

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

pith.paper-citation-record.v1
2507.07008 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

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measured 31 of 31 standing notices

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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

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 4c2ce470-bf8a-40f4-8497-ebc9f08e74b9 · outbound

This paper cites Foundations and Trends in Machine Learning 12(4), 307–392 (2019) https://doi.org/10.1561/2200000056.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Foundations and Trends in Machine Learning 12(4), 307–392 (2019) https://doi.org/10.1561/2200000056

Reference 1

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This paper cites In: 19th International Joint Conference on Com- puter Vision Theory and Applications.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: 19th International Joint Conference on Com- puter Vision Theory and Applications

Reference 2

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Unresolved cited work

Reference 3

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This paper cites IEEE Trans.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions IEEE Trans

Reference 4

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This paper cites In: SRFlow, pp.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: SRFlow, pp

Reference 5

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This paper cites In: Proceedings of the 35th International Conference on Neu- ral Information Processing Systems.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: Proceedings of the 35th International Conference on Neu- ral Information Processing Systems

Reference 6

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Unresolved cited work

Reference 7

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This paper cites In: The Eleventh International Conference on Learn- ing Representations (2023).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: The Eleventh International Conference on Learn- ing Representations (2023)

Reference 8

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Unresolved cited work

Reference 9

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This paper cites In: International Confer- ence on Learning Representations (2023).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: International Confer- ence on Learning Representations (2023)

Reference 10

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This paper cites In: ICLR Workshop on Deep Generative Models for Highly Structured Data (2022) 23.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: ICLR Workshop on Deep Generative Models for Highly Structured Data (2022) 23

Reference 11

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This paper cites Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT

Reference 12

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This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024)

Reference 13

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This paper cites Do Bayesian imaging methods report trustworthy probabilities?.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Do Bayesian imaging methods report trustworthy probabilities?

Reference 14

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This paper cites In: Advances in Neural Information Processing Systems (2017).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: Advances in Neural Information Processing Systems (2017)

Reference 15

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This paper cites In: Forty-second Inter- national Conference on Machine Learning (2025).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: Forty-second Inter- national Conference on Machine Learning (2025)

Reference 16

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This paper cites In: 9th Interna- tional Conference on Learning Representa- tions, ICLR (2021).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: 9th Interna- tional Conference on Learning Representa- tions, ICLR (2021)

Reference 17

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This paper cites Transactions on Machine Learning Research (2025).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Transactions on Machine Learning Research (2025)

Reference 18

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions https://arxiv.org/abs/2503

Reference 19

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This paper cites IEEE Transactions on Image Processing 20(1), 257–267 (2011).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions IEEE Transactions on Image Processing 20(1), 257–267 (2011)

Reference 20

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Informa- tion Processing Systems 2020, NeurIPS 2020 (2020)

Reference 21

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This paper cites In: Proceedings of the 32nd International Conference on Machine Learning (2015).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions In: Proceedings of the 32nd International Conference on Machine Learning (2015)

Reference 22

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Commu- nication in Statistics- Theory and Methods (2002)

Reference 23

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This paper cites IEEE Transactions on Signal Process- ing (2013).

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions IEEE Transactions on Signal Process- ing (2013)

Reference 24

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions SIAM Journal on Imaging Sciences 18(2), 1176– 1207 (2025)

Reference 25

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions https://doi

Reference 26

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This paper cites SIAM Journal on Imaging Sciences 7(1), 476–508 (2014) https: //doi.org/10.1137/130920562.

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions SIAM Journal on Imaging Sciences 7(1), 476–508 (2014) https: //doi.org/10.1137/130920562

Reference 27

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions SIAM Journal on Imaging Sciences (2017)

Reference 28

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Information science and statistics, vol

Reference 29

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Society for Industrial and Applied Mathematics, ??? 24 (2002)

Reference 30

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Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions Unresolved cited work

Reference 31

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Pith citing papers

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