Paper Citation Record · LEDGER

Rethinking Image Histogram Matching for Image Classification

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.01346.

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

pith.paper-citation-record.v1
2506.01346 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:35.737378Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:34.594686Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:51:35.950971Z

Reference resolution

31 of 31 outbound references displayed

verified exact4
verified fuzzy26
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5edde3d-7fc6-4883-acb4-63fbbbb94931 · outbound

This paper cites Rethinking Image Histogram Matching for Image Classification.

Rethinking Image Histogram Matching for Image Classification Rethinking Image Histogram Matching for Image Classification

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:51:35.979738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 565f2575-37c0-4617-86da-a11d1adedd86 · outbound

This paper cites LUT and curve-based methods are particularly studied for image- adaptive methods.

Rethinking Image Histogram Matching for Image Classification LUT and curve-based methods are particularly studied for image- adaptive methods

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.506553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af7eb92e-8771-42a7-8b38-78896263303c · outbound

This paper cites 1 shows a block diagram of the proposed HM.

Rethinking Image Histogram Matching for Image Classification 1 shows a block diagram of the proposed HM

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.434760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 278175b3-1289-4276-bf3b-aeb8ce7b2c13 · outbound

This paper cites The CODaN dataset is designed for classification and contains 10 classes of day- time and nighttime images.

Rethinking Image Histogram Matching for Image Classification The CODaN dataset is designed for classification and contains 10 classes of day- time and nighttime images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.361763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2be0782-fafa-49b8-8491-1b5f96b38e2d · outbound

This paper cites We redesigned the HM to be differentiable and parametric.

Rethinking Image Histogram Matching for Image Classification We redesigned the HM to be differentiable and parametric

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.289102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49c3742f-fb40-4b76-bb9e-c7481042ccad · outbound

This paper cites Deep residual learning for image recognition,.

Rethinking Image Histogram Matching for Image Classification Deep residual learning for image recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.216524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1c9e282-5000-4d01-97bf-a28fa979b8a0 · outbound

This paper cites Zero-shot day-night domain adap- tation with a physics prior,.

Rethinking Image Histogram Matching for Image Classification Zero-shot day-night domain adap- tation with a physics prior,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.145358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19325e38-562a-4151-8a60-c148f1e45b92 · outbound

This paper cites Zero-reference deep curve estimation for low-light im- age enhancement,.

Rethinking Image Histogram Matching for Image Classification Zero-reference deep curve estimation for low-light im- age enhancement,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.072102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e90bf477-7ba8-4931-881c-7683e0a002ac · outbound

This paper cites Watching it in dark: A target-aware representation learning frame- work for high-level vision tasks in low illumination,.

Rethinking Image Histogram Matching for Image Classification Watching it in dark: A target-aware representation learning frame- work for high-level vision tasks in low illumination,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:37.003558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ff1a212-8bf2-4d74-81cc-08f8e1519bef · outbound

This paper cites Intensity transformations and spa- tial filtering,.

Rethinking Image Histogram Matching for Image Classification Intensity transformations and spa- tial filtering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.932591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fcbf8caf-5175-410f-9012-0ada12234d32 · outbound

This paper cites Learning to enhance low-light image via zero- reference deep curve estimation,.

Rethinking Image Histogram Matching for Image Classification Learning to enhance low-light image via zero- reference deep curve estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.851764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5de2086-54d9-48bb-8a1e-811029a3dd86 · outbound

This paper cites Learning image-adaptive 3D lookup tables for high performance photo enhancement in real-time,.

Rethinking Image Histogram Matching for Image Classification Learning image-adaptive 3D lookup tables for high performance photo enhancement in real-time,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.778101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 804cd946-91a4-48f2-bd89-90c260edc46a · outbound

This paper cites Toward raw object detection: A new bench- mark and a new model,.

Rethinking Image Histogram Matching for Image Classification Toward raw object detection: A new bench- mark and a new model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.707043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dadfa511-7cc0-427d-92fa-2d1893aea1b8 · outbound

This paper cites Self-aligned concave curve: Illumination enhancement for unsupervised adaptation,.

Rethinking Image Histogram Matching for Image Classification Self-aligned concave curve: Illumination enhancement for unsupervised adaptation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.643230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76d0a91d-3f3c-4037-a805-453d2db6bb1c · outbound

This paper cites Unsupervised illumination adaptation for low- light vision,.

Rethinking Image Histogram Matching for Image Classification Unsupervised illumination adaptation for low- light vision,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.572536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 574c7402-c37b-4890-9abe-f570fb919426 · outbound

This paper cites Deep degradation prior for low-quality image classification,.

Rethinking Image Histogram Matching for Image Classification Deep degradation prior for low-quality image classification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.501581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d5a5b13-9c45-48ca-86b8-9c3ef4d00435 · outbound

This paper cites ERUP-YOLO: Enhancing Object Detection Robustness for Adverse Weather Condition by Unified Image-Adaptive Processing.

Rethinking Image Histogram Matching for Image Classification ERUP-YOLO: Enhancing Object Detection Robustness for Adverse Weather Condition by Unified Image-Adaptive Processing

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:51:35.922315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 515063b7-0484-4663-9435-5b3cc3ee00bd · outbound

This paper cites Improving Low-Light Image Recognition Performance Based on Image-adaptive Learnable Module.

Rethinking Image Histogram Matching for Image Classification Improving Low-Light Image Recognition Performance Based on Image-adaptive Learnable Module

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:51:35.872219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 486b3992-3a37-4bae-84ca-cb452c638774 · outbound

This paper cites Raw or cooked? object detection on raw images,.

Rethinking Image Histogram Matching for Image Classification Raw or cooked? object detection on raw images,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.435157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e906dfc7-5dac-472c-b4eb-9ec8ac1f267a · outbound

This paper cites Similarity min-max: Zero-shot day-night do- main adaptation,.

Rethinking Image Histogram Matching for Image Classification Similarity min-max: Zero-shot day-night do- main adaptation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.361322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c881d654-58a9-4534-879a-a8479c43b524 · outbound

This paper cites Contrast limited adaptive histogram equalization,.

Rethinking Image Histogram Matching for Image Classification Contrast limited adaptive histogram equalization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.277911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c8fe8fb-19f9-4d67-867b-044548eff511 · outbound

This paper cites Face recognition in low lighting conditions using fisherface method and CLAHE techniques,.

Rethinking Image Histogram Matching for Image Classification Face recognition in low lighting conditions using fisherface method and CLAHE techniques,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.206885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b020ce87-737f-4f72-9612-79ffcb6726b4 · outbound

This paper cites Histogram learning in image contrast enhance- ment,.

Rethinking Image Histogram Matching for Image Classification Histogram learning in image contrast enhance- ment,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.167578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33231fb6-0482-4fc0-be0b-346e8d543530 · outbound

This paper cites Restoring images in adverse weather conditions via histogram transformer,.

Rethinking Image Histogram Matching for Image Classification Restoring images in adverse weather conditions via histogram transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.151224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f65d963-81ba-4756-baa9-3612fec4d6c1 · outbound

This paper cites Histoformer: Histogram-based transformer for efficient underwater image enhance- ment,.

Rethinking Image Histogram Matching for Image Classification Histoformer: Histogram-based transformer for efficient underwater image enhance- ment,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.133538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88ff5546-d4cb-4c19-bbbb-55717fb7d04e · outbound

This paper cites DAWN: Vehicle Detection in Adverse Weather Nature Dataset.

Rethinking Image Histogram Matching for Image Classification DAWN: Vehicle Detection in Adverse Weather Nature Dataset

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:35.646593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e751d64-1b96-470c-bd3c-a73c91f254f4 · outbound

This paper cites Au- tomatic differentiation in pytorch,.

Rethinking Image Histogram Matching for Image Classification Au- tomatic differentiation in pytorch,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.115629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 923f1b2a-35eb-4020-bfd3-3e00be68eec2 · outbound

This paper cites Learn- ing deep embeddings with histogram loss,.

Rethinking Image Histogram Matching for Image Classification Learn- ing deep embeddings with histogram loss,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.097483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 904d5a17-e242-447f-ad28-b3b6f2c4f911 · outbound

This paper cites Learnable histogram: Statistical context fea- tures for deep neural networks,.

Rethinking Image Histogram Matching for Image Classification Learnable histogram: Statistical context fea- tures for deep neural networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.065357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf0de5e2-f683-421a-a422-bfd61e8d0ccd · outbound

This paper cites Differentiable Histogram with Hard-Binning.

Rethinking Image Histogram Matching for Image Classification Differentiable Histogram with Hard-Binning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:51:35.809893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c1840e6-26c9-4d0a-974a-593b6714b443 · outbound

This paper cites Differentiable histogram loss functions for intensity-based image-to-image translation,.

Rethinking Image Histogram Matching for Image Classification Differentiable histogram loss functions for intensity-based image-to-image translation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:51:36.024142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation d5edde3d-7fc6-4883-acb4-63fbbbb94931 · inbound