Pith. sign in

Paper Citation Record · LEDGER

Noise Flow: Noise Modeling with Conditional Normalizing Flows

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.08453.

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

pith.paper-citation-record.v1
1908.08453 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:45:24.281667Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8a2dbca-0db4-4bb3-9385-616c1d2bad99 · outbound

This paper cites A High-Quality Denoising Dataset for Smartphone Cameras.

Noise Flow: Noise Modeling with Conditional Normalizing Flows A High-Quality Denoising Dataset for Smartphone Cameras

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.707064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.163277Z digest=sha256:8d692ae699d782907322b03ca5db70bdd84bade4cd4b35c9a01194055bb5ae7b

Observation 17165e09-f8ea-4e80-a1ac-ced76733716f · outbound

This paper cites Burst Image Deblur- ring Using Permutation Invariant Convolutional Neural Net- works.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Burst Image Deblur- ring Using Permutation Invariant Convolutional Neural Net- works

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.694180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.167286Z digest=sha256:c6c25215fe53306a81dcde3135528386ca9751085b656a61979f82d602934651

Observation 2295eb30-d6ce-4901-b9ca-d8197c44b7df · outbound

This paper cites Image Blind Denoising with Generative Adversarial Network Based Noise Modeling.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Image Blind Denoising with Generative Adversarial Network Based Noise Modeling

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.682367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.170931Z digest=sha256:a4e6a8cddfe20bd02c894715c95c6e8bee138f117199e487da6300249cd40df4

Observation f3f8a10a-4b7f-4b43-ac82-6188cf4a1c60 · outbound

This paper cites Dirty Pixels: Towards End-to-End Image Processing and Perception.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Dirty Pixels: Towards End-to-End Image Processing and Perception

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T11:45:24.174548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:24.174548Z digest=sha256:41173aee435a5a4ef8940e54d0ebc7bddf89d7829e7db67e5a8e439480eae099

Observation 4f26e1ed-14b6-4c7a-9aa1-543a8792285d · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Noise Flow: Noise Modeling with Conditional Normalizing Flows NICE: Non-linear Independent Components Estimation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.670347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.178623Z digest=sha256:45e0f44c34dfb9934fb9f938f5c38bfcff59daf168f725f8d378f96305b10bc0

Observation 37677293-660e-4dc2-ac45-6c464a2cd075 · outbound

This paper cites Density Estimation using Real NVP.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Density Estimation using Real NVP

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.656431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.182382Z digest=sha256:ffbb86e66919c0ca1a51c9905f6a2950204233f48f91afa8e5f295a61932a16d

Observation 6d7e096f-6812-48f3-9027-7a15d597034d · outbound

This paper cites Clipped Noisy Images: Heteroskedas- tic Modeling and Practical Denoising.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Clipped Noisy Images: Heteroskedas- tic Modeling and Practical Denoising

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.644477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.186231Z digest=sha256:0ffc21acaf1cc7d789628003c467df19dd0674b5e658dacb6c35ef5069d8d83c

Observation b758818d-0f91-4dc6-b0c3-cac181a5ddbc · outbound

This paper cites Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.632974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.189838Z digest=sha256:0e94976911f4931cbe40f9168718c95ce59b72e50e2c18b341587e8d2e2dfe6a

Observation 32c6ffba-c4f8-472e-b08f-23b72c04fbaa · outbound

This paper cites Gow, David Renshaw, Keith Findlater, Lindsay Grant, Stuart J.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Gow, David Renshaw, Keith Findlater, Lindsay Grant, Stuart J

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.620504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.193482Z digest=sha256:9f0c1d35120c0053a0d2e671a7a278ca6db73138215a8b48fc8ca219eb0c2eb6

Observation a63c06fb-9976-4788-b8f8-f2973f9bc5f7 · outbound

This paper cites Noise-Optimal Capture for High Dynamic Range Photogra- phy.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Noise-Optimal Capture for High Dynamic Range Photogra- phy

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.608582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.197500Z digest=sha256:20f9932558c70ea9eb039e34516f0891bb776abcd90f87a8f5f3ea61d13115b1

Observation 80aedcff-e6b5-4adb-aac3-d0f9dc401538 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Deep Residual Learning for Image Recognition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T11:45:24.201243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:45:24.201243Z digest=sha256:754062492c2a05005b04cb78b5801f6ca76002c0d02059e39aa949c6a7235da2

Observation de7eb0f0-14c2-4ab1-a5fa-2638b934f2dc · outbound

This paper cites Healey and Raghava Kondepudy.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Healey and Raghava Kondepudy

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.586427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.205283Z digest=sha256:1381708c31e9755c6649cc574e1655f356a07a5de3fb8408315a58fe227670c6

Observation 2c83c5de-27bb-4cfb-affd-5c20dc7f4ef9 · outbound

This paper cites CCD Arrays, Cameras, and Displays.

Noise Flow: Noise Modeling with Conditional Normalizing Flows CCD Arrays, Cameras, and Displays

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.575130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.209113Z digest=sha256:ad474fe266b0d90cabd1397040238f6143c098e5a3838a9db12dab9739465886

Observation 155d09dd-9602-44fa-b561-62c46fb2536a · outbound

This paper cites Difference-based Image Noise Modeling Using Skellam Dis- tribution.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Difference-based Image Noise Modeling Using Skellam Dis- tribution

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.562939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.212623Z digest=sha256:e11efb7c9a0529f9376d53af8dd1c84e267ff4a7a25f1e167b041f4de3673b42

Observation 8d392ca9-ef46-4a92-b49b-5e3984b51a22 · outbound

This paper cites Approximations to Cam- era Sensor Noise.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Approximations to Cam- era Sensor Noise

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.550114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.216402Z digest=sha256:799bc9c624282cc7847045f72611b40cd360f73d2f479eefc67d32d80e9c61b5

Observation f8b98e55-0b30-4c41-990d-2efba7cfe7d8 · outbound

This paper cites Kingma and Jimmy Ba.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Kingma and Jimmy Ba

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.538059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.219778Z digest=sha256:0d051ceaad22c8b121f46768989dac1d72e30581e0bdcfb5651c5fb6ac263932

Observation 8f3f9a4b-ef92-4abc-bf80-de9454b18bdb · outbound

This paper cites Kingma and Prafulla Dhariwal.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Kingma and Prafulla Dhariwal

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.526344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.223447Z digest=sha256:13e221f07e454fad542e3e2cf8360590957a2a5cb5af6fadc842abfe908a0cce

Observation e25aee66-643a-48a0-8d34-d64f13972735 · outbound

This paper cites Adaptive Noise Smoothing Filter for Im- ages with Signal-Dependent Noise.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Adaptive Noise Smoothing Filter for Im- ages with Signal-Dependent Noise

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.515236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.227086Z digest=sha256:b48320fe08953106a68d933e5bf3e9d0874480c24672440a8dee68db94cc5e30

Observation d96b8995-72c8-4560-a20a-a5e49ecf7a4c · outbound

This paper cites Lawrence Zit- nick, and William T.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Lawrence Zit- nick, and William T

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.502685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.230548Z digest=sha256:e890b6a575d765073299e5651d278ea8fbe8c9354cdc065a7404ae7143eddc9b

Observation 9b29ba08-ec39-4f0e-a125-5c0a8346c160 · outbound

This paper cites Practical Signal-Dependent Noise Parameter Estimation from a Single Noisy Image.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Practical Signal-Dependent Noise Parameter Estimation from a Single Noisy Image

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.490445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.233865Z digest=sha256:7e4cd43f7dcdd368246e5f6ce63d39215642e1df2be8649bdd1efe79e2ead7fd

Observation 85a16cd3-b1e1-4630-818d-55313704e805 · outbound

This paper cites Structural Similarity-based Object Tracking in Multimodality Surveillance Videos.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Structural Similarity-based Object Tracking in Multimodality Surveillance Videos

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.477475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.238129Z digest=sha256:673c756a8c15ee2465c6f7f349b2ec38f854d8d20937899ac0a1fdbd955f60ec

Observation 3a19dd05-77e6-4a92-8f35-6ede9be5ac87 · outbound

This paper cites Optimal Inversion of the Generalized Anscombe Transformation for Poisson- Gaussian Noise.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Optimal Inversion of the Generalized Anscombe Transformation for Poisson- Gaussian Noise

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.464652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.241227Z digest=sha256:f063f2ebf5142395bdef66fd07ad8e6d13bf3dcf0c35de1f28253db6b5b522e9

Observation 71d36cb1-8965-461a-86ae-e48823a43593 · outbound

This paper cites Mohsen, Michael F.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Mohsen, Michael F

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.452300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.244459Z digest=sha256:09f36afb5f15b79fbd7a5d02e92b50fffdc6f536f27c5808720aa15f6ec603e0

Observation 5f8cdf56-fdaf-4b0a-a2b0-7e8370d52d46 · outbound

This paper cites Estimation of Images Degraded by Film-Grain Noise.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Estimation of Images Degraded by Film-Grain Noise

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.438784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.248541Z digest=sha256:1827b8b32c4c6e35aa27e3ebd7bc527779fd88fe3e69123cef6fcbe40be4a87d

Observation 34a067ce-baf9-4dac-94e5-27e3c57d2f56 · outbound

This paper cites A Holistic Approach to Cross- Channel Image Noise Modeling and its Application to Image Denoising.

Noise Flow: Noise Modeling with Conditional Normalizing Flows A Holistic Approach to Cross- Channel Image Noise Modeling and its Application to Image Denoising

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.426070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.252066Z digest=sha256:2d4f82bbac4fc7a192996201e2572559d3f025dce5b876bec76d5fb841eb015b

Observation b4676c39-d735-43d2-888c-89b55d4c4475 · outbound

This paper cites Benchmarking Denoising Al- gorithms with Real Photographs.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Benchmarking Denoising Al- gorithms with Real Photographs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.413846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.255337Z digest=sha256:e44d5c84468eecfb1d15c057a0930af68e2f72c35f17654e070f83c0aa83599a

Observation 02befa58-eb9e-4fc3-9eeb-ff5676365c2e · outbound

This paper cites Variational Inference with Normalizing Flows.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Variational Inference with Normalizing Flows

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.401213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.258958Z digest=sha256:62948ae4b78ae89e2efaf62b835e40083afaebae268e7840aefb97f8ea152434

Observation 54900c71-25da-4ba9-b762-c0d46e624a97 · outbound

This paper cites Towards an Evaluation of Denoising Algo- rithms with Respect to Realistic Camera Noise.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Towards an Evaluation of Denoising Algo- rithms with Respect to Realistic Camera Noise

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.387705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.262456Z digest=sha256:aeeafd7a92a5d2f7317e2a319bc12cf3b0e933caa3cf06e782963982d53cb899

Observation 4b7d84b3-e047-4765-8bbb-61a5c349a6d0 · outbound

This paper cites The Dominance of Poisson Noise in Color Digital Cameras.

Noise Flow: Noise Modeling with Conditional Normalizing Flows The Dominance of Poisson Noise in Color Digital Cameras

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.374618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.266253Z digest=sha256:0fd3c73979620155dfffefabe4f2955c29f53eb92d544845670eb51e0732253c

Observation 2f61224c-afad-4c20-8848-2839c6864127 · outbound

This paper cites Image Quality Assessment: From Error Visibility to Structural Similarity.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Image Quality Assessment: From Error Visibility to Structural Similarity

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.362087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.270448Z digest=sha256:474df9172aa10f44101d8446c763fd939d53f1359647669f954e163948463745

Observation 2ffb0807-ee59-4bb4-92f7-08c9c47a6fa0 · outbound

This paper cites Statistical Pattern Recognition.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Statistical Pattern Recognition

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.350805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.273804Z digest=sha256:721c323e1c1ce011bf1501df743173395d47968bf73ce5bd6213c092e3fda569

Observation 8a40f63e-8c59-4dbc-b304-e67b872cdcc5 · outbound

This paper cites Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.339103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.277387Z digest=sha256:fed90cbf9dec2eb3998190ac541e0ba8355e370702e6a271f0c63b410f23eb5f

Observation e8d95fe8-1d91-4d0b-8b4e-1fb7ae032f88 · outbound

This paper cites Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.

Noise Flow: Noise Modeling with Conditional Normalizing Flows Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:45:24.326612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:45:24.281667Z digest=sha256:655d8320189968ed5da6d0d7f7c51ab06e0c3ce7198b1b3edf60eb660cff8422

Pith citing papers

No inbound Pith citation observations are available.