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Paper Citation Record · LEDGER

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2507.15520.

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

pith.paper-citation-record.v1
2507.15520 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:36:04.563010Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:34:21.034930Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:34:21.287718Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf32c162-e9aa-487d-bceb-9539262a72f7 · outbound

This paper cites Low-light image and video enhancement using deep learning: A survey,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Low-light image and video enhancement using deep learning: A survey,

Reference 1

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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.

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Observation 0d5b701f-2c48-457f-bfe2-f573264e27f0 · outbound

This paper cites Single-stage face detection under extremely low-light conditions,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Single-stage face detection under extremely low-light conditions,

Reference 2

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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.

source=pdf_text observed=2026-08-06T15:36:04.229419Z digest=sha256:71120286698030114c10846e1255372b9a34359716cf038c18056838bb5fc025

Observation 8321f631-274a-48ea-bec9-ea821791da38 · outbound

This paper cites Multi-object tracking in the dark,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Multi-object tracking in the dark,

Reference 3

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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.

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Observation 17717fbe-4cc1-410f-8b62-ca169947f18e · outbound

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

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Naturalness preserved enhancement algorithm for non-uniform illumination images,

Reference 4

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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.

source=pdf_text observed=2026-08-06T15:36:04.239024Z digest=sha256:19a7bb703fd9a6f1401984806ce87323f1efd28526f90376637c629898fad0e9

Observation 0181852f-39c7-4f14-a37e-603634079461 · outbound

This paper cites Low-light image enhancement with semi-decoupled decomposition,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Low-light image enhancement with semi-decoupled decomposition,

Reference 5

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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.

source=pdf_text observed=2026-08-06T15:36:04.244735Z digest=sha256:3fe3370e92df7015bf7a8142a1a292cd4fb1a23df29703dbffdc91300946de03

Observation 83d4c626-b799-415c-9844-a48794b8f75d · outbound

This paper cites Learning to see moving objects in the dark,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Learning to see moving objects in the dark,

Reference 6

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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.

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Observation e27fd918-28e5-424f-97fc-0773f78fb1fe · outbound

This paper cites Zero- shot restoration of back-lit images using deep internal learning,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Zero- shot restoration of back-lit images using deep internal learning,

Reference 7

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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.

source=pdf_text observed=2026-08-06T15:36:04.254955Z digest=sha256:a7eebbc7f9b655917b28e2b32ddb35e8345a8c383890f748476c06e1d5b3faf9

Observation 6d227941-fbf4-4220-8a10-210896400689 · outbound

This paper cites Dslr: Deep stacked laplacian restorer for low- light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Dslr: Deep stacked laplacian restorer for low- light image enhancement,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.259313Z digest=sha256:c97237b73e2b10baa6af3e02af0ae3fca486ed0744a438f0f975b923aa860133

Observation 86e751de-20cb-4444-a19f-e91bb0e6de9c · outbound

This paper cites Deep retinex decomposition for low-light enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Deep retinex decomposition for low-light enhancement,

Reference 9

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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.

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Observation d277fe2f-d297-47b6-b6cd-1ce2196f05c9 · outbound

This paper cites Kindling the darkness: A practical low-light image enhancer,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Kindling the darkness: A practical low-light image enhancer,

Reference 10

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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.

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Observation 26d1a642-d625-4fc1-8d04-d377732f16d3 · outbound

This paper cites Beyond brightening low-light images,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Beyond brightening low-light images,

Reference 11

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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.

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Observation a53e0186-8956-4efb-bf10-a7be97555033 · outbound

This paper cites Snr-aware low-light image en- hancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Snr-aware low-light image en- hancement,

Reference 12

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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.

source=pdf_text observed=2026-08-06T15:36:04.276695Z digest=sha256:b63813102b4244ec45b73e567f495d9c0484d08976e893e4f3f94d7fc820cd5a

Observation 72733e67-4c0e-40af-a000-cff814e7074b · outbound

This paper cites Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.281291Z digest=sha256:36c65ada234609f1e2a4ed5051293aed18b80d9edcb461523e1367a6080ddbbc

Observation 09bbcce9-2d7f-45a6-a2d4-eaca8457443d · outbound

This paper cites Hvi: A new color space for low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Hvi: A new color space for low-light image enhancement,

Reference 14

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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.

source=pdf_text observed=2026-08-06T15:36:04.285762Z digest=sha256:6fc39378a82affb254b202b90e376fca3e0c380e4f13bed2effcfbfd61fb714a

Observation f9c50bdd-5557-433b-88e0-5e7520bfdfa2 · outbound

This paper cites Decoupled low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Decoupled low-light image enhancement,

Reference 15

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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.

source=pdf_text observed=2026-08-06T15:36:04.290075Z digest=sha256:5ad3d62c72d3c92489bd94958b7c5638adcd3f5a47ccae541fea387c65ff07c2

Observation f2998731-4e28-409b-b8a8-54ac08a3e13d · outbound

This paper cites Uretinex- net: Retinex-based deep unfolding network for low-light image enhance- ment,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Uretinex- net: Retinex-based deep unfolding network for low-light image enhance- ment,

Reference 16

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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.

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Observation f2da9a78-91ab-4a18-80fb-65228b3332ee · outbound

This paper cites Lime: Low-light image enhancement via illumination map estimation,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Lime: Low-light image enhancement via illumination map estimation,

Reference 17

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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.

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Observation 5257e85f-5e19-4bf6-829d-8c0d94fa33a0 · outbound

This paper cites Contrast enhancement based on layered difference representation of 2d histograms,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Contrast enhancement based on layered difference representation of 2d histograms,

Reference 18

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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.

source=pdf_text observed=2026-08-06T15:36:04.303085Z digest=sha256:4bb39199048854c7e0a597edd157b221dde37f70b527f781758888fedfd8deb5

Observation 5595c40d-76cc-4c4a-ae60-d996c0e482aa · outbound

This paper cites The retinex theory of color vision,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement The retinex theory of color vision,

Reference 19

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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.

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Observation d7bcb623-fda3-4770-9fe1-e3964b29cddc · outbound

This paper cites Properties and performance of a center/surround retinex,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Properties and performance of a center/surround retinex,

Reference 20

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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.

source=pdf_text observed=2026-08-06T15:36:04.311737Z digest=sha256:507715a45bd20c6fb1de579515ddcc35d06f1fcfdb9467197baaff01ad83a1dd

Observation 82e3691e-3c2f-4c31-a58f-0e3575374e11 · outbound

This paper cites A multiscale retinex for bridging the gap between color images and the human observation of scenes,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement A multiscale retinex for bridging the gap between color images and the human observation of scenes,

Reference 21

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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.

source=pdf_text observed=2026-08-06T15:36:04.316417Z digest=sha256:fff0332f2d0d88456945ec76ca301b61f67d4987e0de76a277d70cdc20bb7ca1

Observation 26e64ee2-9cf7-4d66-b464-2bc6487cdce0 · outbound

This paper cites Structure-revealing low- light image enhancement via robust retinex model,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Structure-revealing low- light image enhancement via robust retinex model,

Reference 22

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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.

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Observation 4f53baf1-6f3e-48b2-a96f-c918b587dbb8 · outbound

This paper cites Learning to see in the dark,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Learning to see in the dark,

Reference 23

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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.

source=pdf_text observed=2026-08-06T15:36:04.324976Z digest=sha256:b339d40246358df8184479e746dfc13e5f05fd26940007303d1ace6cc222e15a

Observation 7f136c68-bdd1-4887-bb98-023557bdb7c2 · outbound

This paper cites From fidelity to perceptual quality: A semi-supervised approach for low-light image en- hancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement From fidelity to perceptual quality: A semi-supervised approach for low-light image en- hancement,

Reference 24

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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.

source=pdf_text observed=2026-08-06T15:36:04.329183Z digest=sha256:0ca014e73b99237749a64bc6b2e2860bd6d2efee4f1ee22edc6c0e353e2109b0

Observation 77b4fede-94d9-418d-aad0-23d1fa3ad37f · outbound

This paper cites Zero-reference deep curve estimation for low-light image enhance- ment,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Zero-reference deep curve estimation for low-light image enhance- ment,

Reference 25

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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.

source=pdf_text observed=2026-08-06T15:36:04.333489Z digest=sha256:bfbd133ac32fba58409c46b17996d86df95040e62524494006af5608dba5fa26

Observation 6cb2b4b5-073c-4fd3-9146-57be65ed9f4b · outbound

This paper cites Surroundnet: Towards effective low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Surroundnet: Towards effective low-light image enhancement,

Reference 26

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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.

source=pdf_text observed=2026-08-06T15:36:04.337644Z digest=sha256:372a1a7a1013b0ce140ebcef16cab1e5196a021d04c8253bfac706c0fe042f9d

Observation 363c6ca9-ec0a-4239-9a06-f244b7737d59 · outbound

This paper cites Enlightengan: Deep light enhancement without paired supervision,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Enlightengan: Deep light enhancement without paired supervision,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.341947Z digest=sha256:f4badfd1d97c2c3b2295687adee3b02dafab9492f8e35d482123907e3af75ff9

Observation bc6d760f-b8f4-45cf-b8ce-0b22da19e74e · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Restormer: Efficient transformer for high-resolution image restoration,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.347292Z digest=sha256:e24db75e1f4dc2dcfe70ae3d364ddc8bea96931a03100bd834762460b3b9a325

Observation 2b401f1e-1876-4b0c-b847-9af35fd4f732 · outbound

This paper cites Glow in the dark: Low-light image enhancement with external memory,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Glow in the dark: Low-light image enhancement with external memory,

Reference 29

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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.

source=pdf_text observed=2026-08-06T15:36:04.352145Z digest=sha256:b91f1afa8ec887f23bc991c07dc1cb8bab9ad6fa4343d8ea6e678365dbdee0d6

Observation c5ff90fe-40cd-4dc4-b030-bfce7fd89d71 · outbound

This paper cites Fourllie: Boosting low-light image enhancement by fourier frequency information,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Fourllie: Boosting low-light image enhancement by fourier frequency information,

Reference 30

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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.

source=pdf_text observed=2026-08-06T15:36:04.357098Z digest=sha256:69b00f640cf242fd4db22c9c628a53a34dec5cef1ef52b17f00b4b454a43ab37

Observation c3c8b4b6-3213-40ce-9c19-60fcf7b5a5ec · outbound

This paper cites Wave-mamba: Wavelet state space model for ultra-high-definition low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Wave-mamba: Wavelet state space model for ultra-high-definition low-light image enhancement,

Reference 31

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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.

source=pdf_text observed=2026-08-06T15:36:04.361695Z digest=sha256:a778616238d4cac0b5c0173044ac36b8baba427d4af35b20afbfd66bfc249c40

Observation 6236a401-cd77-46db-917b-a9fa6bc76f2d · outbound

This paper cites Adaptive morphology filter: A lightweight module for deep hyperspectral image classification,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Adaptive morphology filter: A lightweight module for deep hyperspectral image classification,

Reference 32

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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.

source=pdf_text observed=2026-08-06T15:36:04.366467Z digest=sha256:26a5614aed42370a038081a0ba974388fbfff12586f6e836a0477dba3d141936

Observation 10994595-f325-4be4-8a70-ace9705611d0 · outbound

This paper cites Gaussian dynamic convolution for efficient single-image segmentation,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Gaussian dynamic convolution for efficient single-image segmentation,

Reference 33

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raw_fallback, observed 2026-08-06T15:36:04.835735Z

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.

source=pdf_text observed=2026-08-06T15:36:04.370725Z digest=sha256:885d4982e754bbb797016389ad75d1f9311f7520dd4d42b0e3d26e2f01134447

Observation a4215107-7760-42dd-ae64-a3b0ae20e40b · outbound

This paper cites Rapid object detection using a boosted cascade of simple features,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Rapid object detection using a boosted cascade of simple features,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.820744Z

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.

source=pdf_text observed=2026-08-06T15:36:04.374800Z digest=sha256:c8be81a9eb34aef4734106561635ae16b38d50bcd13b170616d20bd997f7c4d0

Observation 7565ac87-05b1-4bb4-bc27-ae618c8cc6d1 · outbound

This paper cites Ultra-high- definition low-light image enhancement: A benchmark and transformer- based method,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Ultra-high- definition low-light image enhancement: A benchmark and transformer- based method,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.805466Z

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.

source=pdf_text observed=2026-08-06T15:36:04.379032Z digest=sha256:950035bfa10ff2be594b5d5ec7b27e34c494df140bc4aaa4102e10792d91dfb7

Observation 280bd792-734d-4da9-a5f3-8741b01ccae8 · outbound

This paper cites Sparse gradient reg- ularized deep retinex network for robust low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Sparse gradient reg- ularized deep retinex network for robust low-light image enhancement,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:36:04.383136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.383136Z digest=sha256:76c2b709ec6a73de03896dc8ec11f80fd11da90ee8b8d82381f682906208918b

Observation 3925b51a-cb8e-4760-a176-a8884e5e7a2e · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Uformer: A general u-shaped transformer for image restoration,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:36:04.387703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.387703Z digest=sha256:9fedc18c73a81e8f72bacbc822352166211cd80a011d5b71095e6142b6ff603d

Observation 309e5e66-0ef7-4472-914c-4a7868ccddb5 · outbound

This paper cites Learning enriched features for fast image restoration and enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Learning enriched features for fast image restoration and enhancement,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.769283Z

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.

source=pdf_text observed=2026-08-06T15:36:04.391769Z digest=sha256:c7c3d4d6f538d11a878202da0ed3c65575860595cbf95c02e9cdd84ce78f7962

Observation 31bfb4c0-a61a-4a75-892e-42adab51e78b · outbound

This paper cites Low-light image enhancement with normalizing flow,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Low-light image enhancement with normalizing flow,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.753476Z

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.

source=pdf_text observed=2026-08-06T15:36:04.395836Z digest=sha256:f88700f5d1d271be8ea9dddaa485e27fd26131db3d186cda9360ce6cb6bd44eb

Observation 64252dd5-99ad-4b9a-b2b2-18a3e5ee6727 · outbound

This paper cites Global structure- aware diffusion process for low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Global structure- aware diffusion process for low-light image enhancement,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.738841Z

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.

source=pdf_text observed=2026-08-06T15:36:04.399843Z digest=sha256:81373516837c03641a2ef13057cb5346cd12eadcd9ef307661002e130f2e0e92

Observation ec30db4e-d969-4563-8b71-380a50541ced · outbound

This paper cites Retinexmamba: Retinex- based mamba for low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Retinexmamba: Retinex- based mamba for low-light image enhancement,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:36:04.405136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.405136Z digest=sha256:5da4f72597844782520294381f6dd10c8866f84d1245e14e4be957b60c746f11

Observation f3310774-9aa9-4572-bf5a-a57f76b9baae · outbound

This paper cites Urwkv: Unified rwkv model with multi-state perspective for low-light image restora- tion,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Urwkv: Unified rwkv model with multi-state perspective for low-light image restora- tion,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.713009Z

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.

source=pdf_text observed=2026-08-06T15:36:04.409578Z digest=sha256:81fa677915155f147d82cfc123292727c1d0446c729265dd44158325a2ae7947

Observation 9778a4cf-3c61-4507-b7ce-e62baa152b40 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Image quality assessment: from error visibility to structural similarity,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:36:04.414434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.414434Z digest=sha256:1531e47f81c8f1d2940352212f3a6a634008ee80e7a2f25f859669bf45c64758

Observation c15ce8c4-3e11-413b-9d0c-1df35db74e72 · outbound

This paper cites Seeing motion in the dark,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Seeing motion in the dark,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.687662Z

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.

source=pdf_text observed=2026-08-06T15:36:04.418558Z digest=sha256:2a85755a14466da59583c0d6852dad016049cb2119db1a0ff191c31c7d639fa4

Observation a13c0a45-6749-4d49-972c-84bdbfbd13df · outbound

This paper cites Lednet: Joint low-light enhance- ment and deblurring in the dark,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Lednet: Joint low-light enhance- ment and deblurring in the dark,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:36:04.540789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.540789Z digest=sha256:a50725ea368dc4ff773e49a70812487f0e92be0e8c0b6077935ea3ca6057f2f6

Observation e02f817b-dad6-45ae-a136-568f6845c7cb · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Mambair: A simple baseline for image restoration with state-space model,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:36:04.545632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:36:04.545632Z digest=sha256:2fd8ede2a1d3d364576c4d82aeb3d612162b00cfdad83580a30e9c01b91305c3

Observation 6e6b0e1b-22e8-48eb-b013-04d066b89504 · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement SGDR: Stochastic gradient descent with warm restarts,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.650276Z

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.

source=pdf_text observed=2026-08-06T15:36:04.549907Z digest=sha256:a3fe08e58bbd4255ee81a9d302fc7452e221162623a6caab670c4bcde691ff2b

Observation c9ee3aca-bd18-48b5-a1d5-31f0623627bb · outbound

This paper cites Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.635756Z

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.

source=pdf_text observed=2026-08-06T15:36:04.554367Z digest=sha256:e0ee10b916f3f390d51bc337a2c8265e4666831e7ca8ee7b5063b5d730b623f5

Observation b3aa6543-0724-4c8c-b644-f808c7edcfa0 · outbound

This paper cites Glare: Low light image enhancement via generative latent feature based codebook retrieval,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Glare: Low light image enhancement via generative latent feature based codebook retrieval,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.620164Z

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.

source=pdf_text observed=2026-08-06T15:36:04.558791Z digest=sha256:d92296d1ecd7b4f8e4d5b059a12c3a51ea2743708b0acd6fa670ff6474bbbe71

Observation 2aa64cda-8530-4da6-98b1-31a2ca88e55d · outbound

This paper cites Perceptual decoupling with heterogeneous auxiliary tasks for joint low-light image enhancement and deblurring,.

SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement Perceptual decoupling with heterogeneous auxiliary tasks for joint low-light image enhancement and deblurring,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:36:04.603015Z

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.

source=pdf_text observed=2026-08-06T15:36:04.563010Z digest=sha256:64b6d090fb367bf2f7f2b5091b5493fc5135503e21604251139c0787af1c727c

Pith citing papers

Observation 629d75bf-a804-421f-8d63-a0619bc7bef9 · inbound

Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement cites this paper.

Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T22:34:21.292354Z

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.

source=pdf_text observed=2026-08-07T22:34:21.034930Z digest=sha256:46d96681300b2366f0f61bc9b61a00a5da50813c9b17f16fe281b2a2b77f2b38