Paper Citation Record · LEDGER

Variational Denoising Network: Toward Blind Noise Modeling and Removal

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:1908.11314.

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

pith.paper-citation-record.v1
1908.11314 v5

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:25:42.915802Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:21:04.499796Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T15:21:04.629776Z

Reference resolution

48 of 48 outbound references displayed

verified exact3
verified fuzzy38
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e59b5807-f0fb-4520-966c-f57f79436d53 · outbound

This paper cites an unresolved cited work.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:25:44.942261Z

Source-reported events for the cited work

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Observation 7130ae4b-a652-4a15-a1cf-1ecffcf8f74a · outbound

This paper cites Adaptive multi-column deep neural networks with application to robust image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Adaptive multi-column deep neural networks with application to robust image denoising

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.872996Z

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Observation 10b6ac8c-13e9-4c23-9d71-1b4766efc7f0 · outbound

This paper cites K-svd: An algorithm for designing overcomplete dictionaries for sparse representation.

Variational Denoising Network: Toward Blind Noise Modeling and Removal K-svd: An algorithm for designing overcomplete dictionaries for sparse representation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.838508Z

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Observation 807872b0-5454-4520-ab8b-c02deadc86ae · outbound

This paper cites RENOIR - A Dataset for Real Low-Light Image Noise Reduction.

Variational Denoising Network: Toward Blind Noise Modeling and Removal RENOIR - A Dataset for Real Low-Light Image Noise Reduction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:25:43.220801Z

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Observation f4f03a21-3746-4276-8622-e0fd5a0ae302 · outbound

This paper cites Contour detection and hierarchical image segmentation.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Contour detection and hierarchical image segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.797136Z

Source-reported events for the cited work

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Observation 0948e6da-4d83-4cac-85a9-46363c3a4d92 · outbound

This paper cites Pattern recognition and machine learning.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Pattern recognition and machine learning

Reference 6

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Source-reported events for the cited work

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Observation 76ce842a-8d81-47a8-a13a-3dc0e84dde76 · outbound

This paper cites Variational inference for dirichlet process mixtures.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Variational inference for dirichlet process mixtures

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.721637Z

Source-reported events for the cited work

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Observation 3102a473-fe83-40e9-b5f8-d33c741c5d86 · outbound

This paper cites Unprocessing Images for Learned Raw Denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Unprocessing Images for Learned Raw Denoising

Reference 8

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Observation ea6e3bd5-2138-450b-8fe5-b56924d37a78 · outbound

This paper cites A non-local algorithm for image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal A non-local algorithm for image denoising

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.678860Z

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Observation a9fab884-3003-45d6-8add-1c386a6ca281 · outbound

This paper cites Image denoising: Can plain neural networks compete with bm3d? In 2012 IEEE conference on computer vision and pattern recognition, pages 2392–2399.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Image denoising: Can plain neural networks compete with bm3d? In 2012 IEEE conference on computer vision and pattern recognition, pages 2392–2399

Reference 10

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Source-reported events for the cited work

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Observation a2a58fdf-278f-48e5-a199-3b7e26bb13c9 · outbound

This paper cites Dabov, A.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Dabov, A

Reference 11

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Source-reported events for the cited work

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Observation f8b306fc-c528-434d-9e49-f0cf6aab85d5 · outbound

This paper cites Berg, and Li Fei-Fei.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Berg, and Li Fei-Fei

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.578999Z

Source-reported events for the cited work

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Observation 3bd0de8f-c219-411d-94a6-4b92ddaf63bd · outbound

This paper cites Nonlocal image restoration with bilateral variance estimation: a low-rank approach.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Nonlocal image restoration with bilateral variance estimation: a low-rank approach

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.527972Z

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Observation ce206eae-7aae-4038-8a55-cffd4048b75e · outbound

This paper cites Nonlocally centralized sparse representation for image restoration.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Nonlocally centralized sparse representation for image restoration

Reference 14

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Observation 5fe03192-bf50-4715-b9e6-a24d3f606a41 · outbound

This paper cites Deep learning.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Deep learning

Reference 15

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Observation edc74d84-8157-4e46-88ea-019218efab06 · outbound

This paper cites Weighted nuclear norm min- imization with application to image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Weighted nuclear norm min- imization with application to image denoising

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.430664Z

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Observation b15d0554-cff2-4d49-819c-9bc76c6e7358 · outbound

This paper cites Toward Convolutional Blind Denoising of Real Photographs.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Toward Convolutional Blind Denoising of Real Photographs

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:25:43.090021Z

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Observation 6206f8b9-0752-4a20-9a04-11782c713841 · outbound

This paper cites Delving deep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Delving deep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.392671Z

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Observation 94985e2b-a9ff-43de-a428-880b38085999 · outbound

This paper cites Natural image denoising with convolutional networks.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Natural image denoising with convolutional networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.369550Z

Source-reported events for the cited work

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Observation 9d8b6583-ace6-4da8-82db-3b896c2ce130 · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Accurate image super-resolution using very deep convolutional networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.320808Z

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Observation 5cbc2d19-2b18-4c89-82c2-411437d0f55c · outbound

This paper cites Kingma and Jimmy Lei Ba.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Kingma and Jimmy Lei Ba

Reference 21

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Observation 5bd7e16c-2e33-4153-b45c-265fe93ce3d6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Auto-Encoding Variational Bayes

Reference 22

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Observation 6a7c855c-8aef-426f-9f26-bbe6e74f952f · outbound

This paper cites Multiscale image blind denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Multiscale image blind denoising

Reference 23

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Observation 3426e6fb-4c13-4195-b0f6-dfb5a2defde9 · outbound

This paper cites Universal denoising networks: a novel cnn architecture for image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Universal denoising networks: a novel cnn architecture for image denoising

Reference 24

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This paper cites Non-local recurrent network for image restoration.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Non-local recurrent network for image restoration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.157490Z

Source-reported events for the cited work

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Observation 21dccfcb-2271-4ce3-a65f-1cebc8c24a09 · outbound

This paper cites Waterloo Exploration Database: New challenges for image quality assessment models.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Waterloo Exploration Database: New challenges for image quality assessment models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.103098Z

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Observation 04d6f603-6e68-4bc2-869a-a0062e694305 · outbound

This paper cites Nonlocal transform-domain ﬁlter for volumetric data denoising and reconstruction.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Nonlocal transform-domain ﬁlter for volumetric data denoising and reconstruction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.062064Z

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Observation 9d027458-83d5-4239-a0c5-cae03f8473f3 · outbound

This paper cites Sparse representation for color image restoration.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Sparse representation for color image restoration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:44.022080Z

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Observation 313eb36b-8507-4a23-bd32-b84ac71115d7 · outbound

This paper cites Image restoration using very deep convo- lutional encoder-decoder networks with symmetric skip connections.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Image restoration using very deep convo- lutional encoder-decoder networks with symmetric skip connections

Reference 29

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Observation 5c927f7f-b42f-4645-99b5-abfeaf2718bc · outbound

This paper cites Scale-space and edge detection using anisotropic diffusion.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Scale-space and edge detection using anisotropic diffusion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.925946Z

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This paper cites Benchmarking denoising algorithms with real photographs.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Benchmarking denoising algorithms with real photographs

Reference 31

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Observation e5bd102f-43ba-4e39-873a-75c42a995af6 · outbound

This paper cites Neural nearest neighbors networks.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Neural nearest neighbors networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.853828Z

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Observation e472bb4e-314d-473b-8d74-cb7a21f4e304 · outbound

This paper cites Neural nearest neighbors networks.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Neural nearest neighbors networks

Reference 33

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Observation 968c394b-b377-49a7-aeda-9e7d01cfa78a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Variational Denoising Network: Toward Blind Noise Modeling and Removal U-net: Convolutional networks for biomedical image segmentation

Reference 34

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This paper cites Fields of experts.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Fields of experts

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.761498Z

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Observation 6b53c9ea-2b8a-4e49-aadc-efeccf8bdecb · outbound

This paper cites Nonlinear total variation based noise removal algorithms.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Nonlinear total variation based noise removal algorithms

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.724301Z

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Observation 8e21a774-dc5a-498b-9655-08f88ba91417 · outbound

This paper cites Noise removal via bayesian wavelet coring.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Noise removal via bayesian wavelet coring

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.678689Z

Source-reported events for the cited work

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Observation 26eb0edd-ae8e-472a-975d-98bc815a0bd5 · outbound

This paper cites Memnet: A persistent memory network for image restoration.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Memnet: A persistent memory network for image restoration

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.640712Z

Source-reported events for the cited work

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Observation 672cd663-ac84-4b56-b49b-29cfba9d6477 · outbound

This paper cites Statistical calibration of ccd imaging process.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Statistical calibration of ccd imaging process

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.587295Z

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Observation 95e3678a-8b69-484f-a6e7-6771fe1beca5 · outbound

This paper cites Image denoising and inpainting with deep neural networks.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Image denoising and inpainting with deep neural networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.539577Z

Source-reported events for the cited work

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Observation 35cee2e0-8935-4c07-b6a9-82a02885a1c0 · outbound

This paper cites A trilateral weighted sparse coding scheme for real-world image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal A trilateral weighted sparse coding scheme for real-world image denoising

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.495717Z

Source-reported events for the cited work

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Observation 137c6f5a-49cb-455f-8eff-7ca70a2f3a63 · outbound

This paper cites Robust online matrix factorization for dynamic background subtraction.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Robust online matrix factorization for dynamic background subtraction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.454505Z

Source-reported events for the cited work

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Observation 936e6eab-7b81-4906-92f7-17780bff3601 · outbound

This paper cites Hyperspectral image restoration under complex multi-band noises.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Hyperspectral image restoration under complex multi-band noises

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.422101Z

Source-reported events for the cited work

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Observation 2777ced6-0bfb-4bd0-9aaa-8fa12100382e · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-14T10:25:42.864025Z

Source-reported events for the cited work

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Observation c972d4c5-fa39-4871-b8a3-e934697cfc22 · outbound

This paper cites Ffdnet: Toward a fast and ﬂexible solution for cnn-based image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Ffdnet: Toward a fast and ﬂexible solution for cnn-based image denoising

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.358245Z

Source-reported events for the cited work

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Observation b058a020-eb51-4e3d-86a2-8ba404738677 · outbound

This paper cites Residual dense network for image super-resolution.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Residual dense network for image super-resolution

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.305690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 403a033e-25b2-4b97-8333-4681cb30ad52 · outbound

This paper cites Blind image denoising via dependent dirichlet process tree.

Variational Denoising Network: Toward Blind Noise Modeling and Removal Blind image denoising via dependent dirichlet process tree

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.278593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9f85a29-7ced-4274-8817-f6030eaa5dad · outbound

This paper cites From noise modeling to blind image denoising.

Variational Denoising Network: Toward Blind Noise Modeling and Removal From noise modeling to blind image denoising

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:43.242568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 084cc209-c4bb-435f-b526-d28f6b8f06bd · inbound

CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image cites this paper.

CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image Variational Denoising Network: Toward Blind Noise Modeling and Removal

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:21:04.636039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.