Paper Citation Record · LEDGER

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.17691.

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

pith.paper-citation-record.v1
2607.17691 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:21:02.368929Z

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One-hop event checks from named stored sources.

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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

20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation de78cc81-5090-4b1c-a260-eeb8e3925ceb · outbound

This paper cites Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis

Reference 1

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Observation 51a4c81c-8a8e-4195-898d-d70ca54be719 · outbound

This paper cites Enhance contrast and balance color of retinal image.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Enhance contrast and balance color of retinal image

Reference 2

Resolution: verified exact; doi, observed 2026-08-01T17:23:25.672469Z

Source-reported events for the cited work

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Observation 8f83390b-43bc-4baf-b702-1a1c99ebad01 · outbound

This paper cites Color retinal image enhancement using CLAHE.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Color retinal image enhancement using CLAHE

Reference 3

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Source-reported events for the cited work

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Observation 5e4db1a9-89b8-4b2f-961a-06ba4c7a7867 · outbound

This paper cites Retinal image enhancement using curvelet based sigmoid mapping of histogram equalization.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Retinal image enhancement using curvelet based sigmoid mapping of histogram equalization

Reference 4

Resolution: verified exact; doi, observed 2026-08-01T17:23:25.551947Z

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Observation b1143dc5-3194-47b1-ae3a-381505765d44 · outbound

This paper cites Towards accurate segmentation of retinal vessels and the optic disc in fundoscopic images with generative adversarial networks.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Towards accurate segmentation of retinal vessels and the optic disc in fundoscopic images with generative adversarial networks

Reference 5

Resolution: verified exact; doi, observed 2026-08-01T17:23:25.468494Z

Source-reported events for the cited work

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Observation 56f7e008-96ec-4a08-8bf8-77a520aeeb2d · outbound

This paper cites LadderNet: Multi-path networks based on U-Net for medical image segmentation.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis LadderNet: Multi-path networks based on U-Net for medical image segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:01.024074Z

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Observation cf8212c7-8103-4fc0-9c4b-e6b5423975c8 · outbound

This paper cites Zero-reference deep curve estima- tion for low-light image enhancement.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Zero-reference deep curve estima- tion for low-light image enhancement

Reference 7

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Observation 9bb2a5f8-3ab9-403d-8587-c80fb0ba3376 · outbound

This paper cites Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis

Reference 8

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Observation 5a7e4750-f537-49d3-88b4-edc1dae73d76 · outbound

This paper cites Deep learning based automatic eye cataract detection algorithm using MATLAB.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Deep learning based automatic eye cataract detection algorithm using MATLAB

Reference 9

Resolution: verified exact; doi, observed 2026-08-01T17:23:25.368777Z

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.

Observation 4d2e86f7-baed-49c9-a226-0beae790acc2 · outbound

This paper cites Security and resolution enhanced transmission of medical image through IDMA aided coded STTD system.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Security and resolution enhanced transmission of medical image through IDMA aided coded STTD system

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:01.536327Z

Source-reported events for the cited work

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Observation d4d4033d-443d-44f3-876e-76be504cfd46 · outbound

This paper cites A hybrid CLAHE-deep learning framework for retinal image quality enhancement and vessel segmentation.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis A hybrid CLAHE-deep learning framework for retinal image quality enhancement and vessel segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:01.591788Z

Source-reported events for the cited work

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Observation a491774a-f16d-4e18-b300-36c3b9c3551f · outbound

This paper cites Deep learning for diabetic retinopathy detection and classification based on fundus images: a review.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Deep learning for diabetic retinopathy detection and classification based on fundus images: a review

Reference 12

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Source-reported events for the cited work

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Observation 09b384ba-9ec4-432a-ad12-3989791a3c97 · outbound

This paper cites Retinal fundus image refinement with CLAHE.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Retinal fundus image refinement with CLAHE

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:01.759736Z

Source-reported events for the cited work

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Observation a2726281-e041-46a0-8455-24d65532d9fc · outbound

This paper cites Retinal fundus image enhancement using adaptive CLAHE methods.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Retinal fundus image enhancement using adaptive CLAHE methods

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:01.844558Z

Source-reported events for the cited work

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Observation 634d8c7f-ea88-41ea-9399-23f5a113c151 · outbound

This paper cites Color retinal image enhancement by Rayleigh contrast-limited adaptive histogram equalization.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Color retinal image enhancement by Rayleigh contrast-limited adaptive histogram equalization

Reference 15

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Source-reported events for the cited work

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Observation 4e13b54f-b0b9-4e62-9753-a1f0a4decf62 · outbound

This paper cites Quantum entanglement entropy and classical mutual information in long-range harmonic oscillators.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Quantum entanglement entropy and classical mutual information in long-range harmonic oscillators

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:01.995356Z

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Observation 93eb0df7-6dde-40a7-86fd-27d6b783d64b · outbound

This paper cites Ridge-based vessel segmentation in color images of the retina.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Ridge-based vessel segmentation in color images of the retina

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:02.072787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed46cc4d-a5e4-4a31-8fda-08c3db02254a · outbound

This paper cites Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:02.149498Z

Source-reported events for the cited work

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Observation 5e75c0d4-579f-4a55-a515-6a6f4380aa66 · outbound

This paper cites An en- semble classification-based approach applied to retinal blood vessel segmentation.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis An en- semble classification-based approach applied to retinal blood vessel segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T17:21:02.252786Z

Source-reported events for the cited work

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Observation 85f73a69-90f9-4fe6-a2d2-d37b1a918b84 · outbound

This paper cites Retinal image enhancement using ro- bust inverse diffusion equation and self-similarity filtering.

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis Retinal image enhancement using ro- bust inverse diffusion equation and self-similarity filtering

Reference 20

Resolution: verified exact; doi, observed 2026-08-01T17:23:25.270033Z

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.

Pith citing papers

No inbound Pith citation observations are available.