Paper Citation Record · LEDGER

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.01481.

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

pith.paper-citation-record.v1
1908.01481 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:16:32.267096Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

40 of 40 outbound references displayed

verified exact1
verified fuzzy35
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f08afd95-0ee8-4ab2-b82c-a09b7870bb5c · outbound

This paper cites Color image processing pipeline,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Color image processing pipeline,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.793718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9e8660c-f3e7-4c6c-bdd4-a167fb8e93e2 · outbound

This paper cites A software platform for manipulating the camera imaging pipeline,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning A software platform for manipulating the camera imaging pipeline,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.781386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b709747-9d17-4ae5-8d37-f20a6a3e8bd3 · outbound

This paper cites Flexisp: A ﬂexible camera image processing framework,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Flexisp: A ﬂexible camera image processing framework,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.767048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f44a24f-fd61-43d6-a3aa-3813eee3b72f · outbound

This paper cites Burst photography for high dynamic range and low-light imaging on mobile cameras,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Burst photography for high dynamic range and low-light imaging on mobile cameras,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.754167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2c83dc5-8e77-4456-beff-fea285738cd5 · outbound

This paper cites Fast burst images denoising,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Fast burst images denoising,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.741340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 860bc04e-55a0-45e7-a8ea-2806ee9bb5af · outbound

This paper cites Burst denoising with kernel prediction networks,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Burst denoising with kernel prediction networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.728051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51aa9a8c-416d-4ed1-a94e-8cd20a8cb42e · outbound

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

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Ffdnet: Toward a fast and ﬂexible solution for cnn-based image denoising,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.712679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73c9fd8b-14c0-4ae5-932a-ed2492e7cb5a · outbound

This paper cites Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.700364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e2b0e6b-2e59-4ee2-a4dc-30b18d2fdd95 · outbound

This paper cites Fc4: Fully convolutional color constancy with conﬁdence-weighted pooling,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Fc4: Fully convolutional color constancy with conﬁdence-weighted pooling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.686409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation decd99a2-ef0c-41e2-9ac1-55230acac46c · outbound

This paper cites Color constancy using cnns,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Color constancy using cnns,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.672559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 913695ee-94e0-4f11-8cab-87513c76f2ec · outbound

This paper cites Color image demosaicking via deep residual learning,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Color image demosaicking via deep residual learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.659297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a54f493-acb3-4a4c-9981-c980498db224 · outbound

This paper cites Deep joint demo- saicking and denoising,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Deep joint demo- saicking and denoising,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.646827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 873aff58-ec38-4d45-94a5-394586654182 · outbound

This paper cites Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.634721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7480566-eae7-4e72-849a-5b6a0a4fd121 · outbound

This paper cites Deep bilateral learning for real-time image enhancement,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Deep bilateral learning for real-time image enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.621648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2aba38d3-90ac-499c-bdbb-4e52cd391b51 · outbound

This paper cites Learning a deep single image contrast enhancer from multi-exposure images,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Learning a deep single image contrast enhancer from multi-exposure images,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T15:16:32.161665Z

Source-reported events for the cited work

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Observation cac75dc7-5efc-4fce-bd94-02b4381cd2d1 · outbound

This paper cites Learning to see in the dark,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Learning to see in the dark,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.601081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a734e5bc-57f3-4bf9-98d0-04be206c3bfe · outbound

This paper cites Deepisp: Toward learning an end-to-end image processing pipeline,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Deepisp: Toward learning an end-to-end image processing pipeline,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.589665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87e46fea-daaf-4702-b9ad-de1e5af899db · outbound

This paper cites Learning photographic global tonal adjustment with a database of input / output image pairs,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Learning photographic global tonal adjustment with a database of input / output image pairs,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.577040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2dcd1e64-df5a-43e3-8c9c-ae4d9893da96 · outbound

This paper cites Color demosaicking by local directional interpolation and nonlocal adaptive thresholding,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Color demosaicking by local directional interpolation and nonlocal adaptive thresholding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.565037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 669badb8-5cd4-4e6d-97d8-dfae3c03e413 · outbound

This paper cites Image denoising by sparse 3-d transform-domain collaborative ﬁltering,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Image denoising by sparse 3-d transform-domain collaborative ﬁltering,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.553528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0e982214-ad65-4202-a2b8-413dd809faa3 · outbound

This paper cites Beyond white: Ground truth colors for color constancy correction,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Beyond white: Ground truth colors for color constancy correction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.541971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a9b75af-a7c5-4e4f-8c08-1fabb7031544 · outbound

This paper cites Automatic exposure correction of consumer photographs,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Automatic exposure correction of consumer photographs,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.529791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 921b6a05-0701-473d-b1e1-2a58346aa534 · outbound

This paper cites Learning the image processing pipeline,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Learning the image processing pipeline,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.517924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7567b791-99b4-4e65-9025-686cf33290a4 · outbound

This paper cites Learning a deep convolutional network for image super-resolution,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Learning a deep convolutional network for image super-resolution,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.503994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb92680c-2a73-455b-ac89-552302521db0 · outbound

This paper cites Fast image processing with fully- convolutional networks,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Fast image processing with fully- convolutional networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.491962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04f3b4dd-c411-4fb0-ba9d-b839b4e33cd8 · outbound

This paper cites Deep Residual Network for Joint Demosaicing and Super-Resolution.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Deep Residual Network for Joint Demosaicing and Super-Resolution

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:16:32.320372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2d474e1-ad8f-4a92-8b84-a54feeaba3db · outbound

This paper cites Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

Reference 27

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Source-reported events for the cited work

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Observation 54cdab01-1fef-4e30-b6be-91200811d10b · outbound

This paper cites Joint demosaicing and super-resolution imaging from a set of unregistered aliased images,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Joint demosaicing and super-resolution imaging from a set of unregistered aliased images,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.478354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c088218a-af39-43af-9ad5-89c7299023e9 · outbound

This paper cites Naturalness preserved enhancement algorithm for non-uniform illumination images,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Naturalness preserved enhancement algorithm for non-uniform illumination images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.465659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9d5f60b-6a51-4bd4-8db8-6bcfcd7f6194 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.451839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca2b1053-874a-42b9-89ec-703ebc6d020d · outbound

This paper cites Visualizing and understanding convolutional networks,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Visualizing and understanding convolutional networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.437307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ee16204-60f9-45e7-ade7-0bda8f3c0247 · outbound

This paper cites Revisiting radiometric calibration for color computer vision,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Revisiting radiometric calibration for color computer vision,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.424419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d276a30-c622-487b-ad43-716f00546786 · outbound

This paper cites An empirical camera model for internet color vision.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning An empirical camera model for internet color vision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.412012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c61c5d58-3144-4c94-aa9c-258b04b5ec40 · outbound

This paper cites Joint demosaicing and denoising,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Joint demosaicing and denoising,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.399128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83369523-48e1-487c-b0ac-d05b31037757 · outbound

This paper cites Why you should forget luminance conversion and do something better,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Why you should forget luminance conversion and do something better,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.386323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 347d0957-d154-44af-a4b8-408886563dfe · outbound

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

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning U-net: Convolutional networks for biomedical image segmentation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T15:16:32.250250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8349fa-607a-457b-ba1b-c7b17492e800 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Perceptual losses for real-time style transfer and super-resolution,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.365675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62ae972f-878f-4aba-a927-2e7d7d3c386a · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Photo-realistic single image super-resolution using a generative adversarial network,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.353121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f77f3d8-c7d1-4656-b287-3399ae981ae3 · outbound

This paper cites Loss functions for image restoration with neural networks,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning Loss functions for image restoration with neural networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T15:16:32.263033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44d0fa28-de8c-4d00-8adb-826ac5ba34a9 · outbound

This paper cites HDR image reconstruction from a single exposure using deep cnns,.

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning HDR image reconstruction from a single exposure using deep cnns,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:16:32.333157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.