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Paper Citation Record · LEDGER

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels

As of 5 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2511.15496.

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

pith.paper-citation-record.v1
2511.15496 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:32:41.492849Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:46:42.634171Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T16:27:08.891879Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22f4f7b6-f47d-45bb-91c1-4c985f804710 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Learning a deep single image contrast enhancer from multi-exposure images

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:471d88effb1802b6d1b2ec66b8b3fb98975579f5a30b2b928e00038aae9ffe0a

Observation 37cd87ef-9adc-4e6c-b86b-7bd1bd3742a2 · outbound

This paper cites Retinexformer: One-stage retinex- based transformer for low-light image enhancement.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Retinexformer: One-stage retinex- based transformer for low-light image enhancement

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.864781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:aef737bf4a9e33b128e1b1b99d993d5b208ae12b54af66166619445441deccb9

Observation 62b14301-e8a2-47f9-b691-28d45a2936a7 · outbound

This paper cites Learning to see in the dark.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Learning to see in the dark

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.861663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:7779a7c996409514ef021b2c8342e19fbf8b13f248477e72e703c7a733b0905e

Observation a4bde113-d90c-4b76-ab70-ecf2f321a7fc · outbound

This paper cites Darkir: Robust low-light image restoration.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Darkir: Robust low-light image restoration

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.867613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:4db1b645c46bc385e9796509d02d6bc0c8e5b127f1d020b5c22030788d8747c3

Observation 1739200a-f940-41ee-a301-85a1f11a3648 · outbound

This paper cites Dancing in the dark: A benchmark towards general low-light video enhancement.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Dancing in the dark: A benchmark towards general low-light video enhancement

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.792939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:202f4d438f0111cd6065b17bfd00f7362e0b452e2ce1fb60b84ed5d1a30186bb

Observation 2a34d64d-f3af-4e4d-b3a3-777c568a78bf · outbound

This paper cites A weighted variational model for simultane- ous reflectance and illumination estimation.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels A weighted variational model for simultane- ous reflectance and illumination estimation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.852865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:df8bf8edf2fc3fe964bdf9975035368f6a1f528ee3d9fb24dd21d1dee4534894

Observation 86804af9-f2e3-4f0f-8899-eb3789d47bf0 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Zero-reference deep curve estimation for low-light image enhancement

Reference 7

Resolution
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raw_fallback, observed 2026-05-17T20:35:13.771775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:05e64e4f9e635d6db5ec136d7b81b48fc58a123e6bf38090d5e5678ffd2a82c0

Observation 39de3c05-a6cf-400e-a759-66800e601aab · outbound

This paper cites Lime: Low-light im- age enhancement via illumination map estimation.IEEE TIP, 26(2):982–993.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Lime: Low-light im- age enhancement via illumination map estimation.IEEE TIP, 26(2):982–993

Reference 8

Resolution
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raw_fallback, observed 2026-05-17T20:35:13.743145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:89532ea1e28b31562dbe88bb5a59581e600d35b31a16531cfad0da68d3717a6f

Observation e50932a4-74cf-4b2d-ad97-e3ed4d0aa8b2 · outbound

This paper cites R2rnet: Low-light image enhancement via real-low to real-normal network.Jour- nal of Visual Communication and Image Representation, 90: 103712.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels R2rnet: Low-light image enhancement via real-low to real-normal network.Jour- nal of Visual Communication and Image Representation, 90: 103712

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.737640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:c7f2a7ce211dec0b1d0ba3b31c86afa5cd83cef64f536d3ffdfbf953747e1d52

Observation b631801d-330e-40af-b532-7e2902bb51d2 · outbound

This paper cites Multiscale sliced wasserstein distances as perceptual color difference measures.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Multiscale sliced wasserstein distances as perceptual color difference measures

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.758494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:3da46ccc422b24383b9b8f817074cbf12879b0b3c2b60d0709eb45e522926f78

Observation 61efeebe-9c73-45bd-a115-bfff40afb972 · outbound

This paper cites Dslr-quality photos on mobile devices with deep convolutional networks.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Dslr-quality photos on mobile devices with deep convolutional networks

Reference 11

Resolution
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raw_fallback, observed 2026-05-17T20:35:13.766779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:718a0069d000706feafae57ec311b9cc58f01cacacdd3d8bf4c84122cc4d3f89

Observation 745bf641-1bde-4a0c-918a-d4ded13678a8 · outbound

This paper cites Enlightengan: Deep light enhancement without paired supervision.IEEE TIP, 30:2340–2349.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Enlightengan: Deep light enhancement without paired supervision.IEEE TIP, 30:2340–2349

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.781896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:4d5e8bdaf242cb5e21ea91a1290cf51d33c867247ad908c7a0bc3b116d806de8

Observation 9220c92b-69df-4dd4-9835-e175fb58d155 · outbound

This paper cites The retinex.American Scientist, 52(2):247– 264.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels The retinex.American Scientist, 52(2):247– 264

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.755888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:1135d9fbcedd16e14174adf5d9475e7034cc645a91d31c3b1768bdfb7e50076f

Observation df948097-5e19-4c39-9303-0ad960d28b69 · outbound

This paper cites Contrast en- hancement based on layered difference representation.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Contrast en- hancement based on layered difference representation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.751021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:2dd34c724f5f2b5ac5754ab3320800d4cc08806996715f0d0f29c4e71e80ab8d

Observation 9bbb7a0f-d373-43d5-bd13-62fa70f612d8 · outbound

This paper cites Low-light image and video enhancement using deep learning: A sur- vey.IEEE TPAMI, 44(12):9396–9416.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Low-light image and video enhancement using deep learning: A sur- vey.IEEE TPAMI, 44(12):9396–9416

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.748594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:ed32c318565a139144a7843da1b5b33a4f4ace0f364be1987866fb85ed24665a

Observation c35b902b-7e8a-49a0-8ecf-c30c2303ac77 · outbound

This paper cites Gt-mean loss: A simple yet effective solution for brightness mismatch in low-light image enhancement.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Gt-mean loss: A simple yet effective solution for brightness mismatch in low-light image enhancement

Reference 16

Resolution
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raw_fallback, observed 2026-05-17T20:35:13.740062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:1e53b607d8992aeacd45562e5fb757896f71617c8ad4db2ceaca28d24fd5debe

Observation 87e6b521-3467-4b79-85e0-0faa3c4cae39 · outbound

This paper cites Benchmarking low-light image enhance- ment and beyond.IJCV, 129:1153–1184.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Benchmarking low-light image enhance- ment and beyond.IJCV, 129:1153–1184

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.745783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:b4cc403ab786dae7c1ca4c9fe4473aef6ec9ddcb8134f88ea5974bdecfc3b3b9

Observation 7e022479-75dc-48ee-9d85-0c3a4f457eb4 · outbound

This paper cites Toward fast, flexible, and robust low-light image enhancement.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Toward fast, flexible, and robust low-light image enhancement

Reference 18

Resolution
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raw_fallback, observed 2026-05-17T20:35:13.769400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:7daa012ff12e0a7fc03fbb0f56ff52c417d392cb04195f59937fe6b4ce3e99ee

Observation a1f2379a-a637-49c1-a921-399350159df9 · outbound

This paper cites A topological loss function for image denoising on a new bvi-lowlight dataset.Signal Processing, 211:109081.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels A topological loss function for image denoising on a new bvi-lowlight dataset.Signal Processing, 211:109081

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.796085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:c3850aee011213385609a703a042acbf2ce8201c297e6d3070e4e12725059924

Observation 6a778d5f-fb22-4308-b611-f60ed14dc54e · outbound

This paper cites No-reference image quality assessment in the spa- tial domain.IEEE TIP, 21(12):4695–4708.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels No-reference image quality assessment in the spa- tial domain.IEEE TIP, 21(12):4695–4708

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.855895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:aea97c5cf6f96706876406e04e6ec5d6725291ef00270e32e47d66ce87b5477b

Observation 3b68a88e-f370-4143-b7e0-cfef0bb46ef3 · outbound

This paper cites completely blind.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels completely blind

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.843736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:d7974f741db92d678960f3e70a9b03ec4e0faed8677bd6eca0a8e60ceb756164

Observation 77ed6353-74b4-453d-94e5-fac454a07ab4 · outbound

This paper cites Multi-scale retinex for color image enhancement.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Multi-scale retinex for color image enhancement

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.837414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:1692248e33a69b73ba01e8c7dd612730628aaa6831b2d9107afb2b4d31fd9ff3

Observation 8a03201a-50a7-4d85-8982-79799f56bc39 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.840635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:5ba9d5cc1e424e848a75b704f338d37dc21651411eb207d58c3c864f34ad6bf3

Observation 7a1f1464-1954-4acb-926d-6bb20526c135 · outbound

This paper cites Promptnorm: Image ge- ometry guides ambient light normalization.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Promptnorm: Image ge- ometry guides ambient light normalization

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.827834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:25e38e2a86c0558d7d2672d268de0f962f0c4e4e239b7beb389f01bc5c5c8eb9

Observation fd4eb953-9aa7-41ac-a78b-1a655ba7c921 · outbound

This paper cites Survey of methods and evaluation of retinex-inspired image enhancers.J.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Survey of methods and evaluation of retinex-inspired image enhancers.J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.824977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:8a0754b3e4bd8429ebf342139b892ac0c14f847a391f24e0d85ea1ea21786796

Observation 558c49c5-79f7-4379-b2b9-6a7f8a8d1985 · outbound

This paper cites Tm-died: The most difficult image en- hancement dataset, Accessed 10/2025.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Tm-died: The most difficult image en- hancement dataset, Accessed 10/2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.834100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:b9816921b3644f0beaf6cab9201d633a8551ab61df1ac9492966d85e55b28eed

Observation 09465c74-c689-481b-9724-68bcaa23d0a2 · outbound

This paper cites A biologically in- spired scale-space for illumination invariant feature detec- tion.Meas.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels A biologically in- spired scale-space for illumination invariant feature detec- tion.Meas

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.830948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:e7cea7d974cf54b1ff6c4588caa61f669880a6c7ea561d8101ac76e53ac3d798

Observation f2ef9fa7-a42a-46fa-bc31-83d0a72a0b5f · outbound

This paper cites Fourllie: Boosting low-light image enhancement by fourier frequency informa- tion.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Fourllie: Boosting low-light image enhancement by fourier frequency informa- tion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.846622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:8c259bd0d44c64ab72ee9596c6491fd37cc8f9ef20a141d98dbfc53f094a0b48

Observation 85ee7ec9-ac10-4ebd-b1af-51075dbf03ea · outbound

This paper cites Underexposed photo enhance- ment using deep illumination estimation.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Underexposed photo enhance- ment using deep illumination estimation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.816044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:157f03ee96dc7b8abb7a7281c907b56aedcbccb135aaa44dfeadf77724c0cd21

Observation a00222ae-8bc5-4be7-bdf3-39a7da133945 · outbound

This paper cites Seeing dynamic scene in the dark: High- quality video dataset with mechatronic alignment.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Seeing dynamic scene in the dark: High- quality video dataset with mechatronic alignment

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.813034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:2fdcfaac9e6a30345f28eac243e6f91ba127d897238533e8231b138baae7026a

Observation 228d2661-36a1-4d08-903a-a0326d2f6614 · outbound

This paper cites Nat- uralness preserved enhancement algorithm for non-uniform illumination images.IEEE TIP, 22(9):3538–3548.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Nat- uralness preserved enhancement algorithm for non-uniform illumination images.IEEE TIP, 22(9):3538–3548

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.807343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:9a2e16957f5db6694cf684c8b54009a595f9e83eb9bf98c3cb095d7208252615

Observation 91016f4b-ef99-40b8-a807-1991be613e87 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Ultra-high-definition low-light image enhancement: A benchmark and transformer-based method

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.810109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:d35e110336100d32c0129d875d59beb82a67d527f670b4474fea3661fc588eee

Observation 84624403-c07d-4116-a4ac-978c30e41b8c · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Deep retinex decomposition for low-light enhancement

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.822069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:bd22078122348f4e8a8af95af604d0207904a143a82a2c0fb2e5055cf4c7e6aa

Observation ea356d2e-d41f-4e3d-a995-373f1ae2b497 · outbound

This paper cites Gladnet: Low-light enhancement network with global awareness.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Gladnet: Low-light enhancement network with global awareness

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.819085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:55b63f5243d1c34a39ede4c8d8256ba029fcd004bc970d2b5e1080e2d6286ca0

Observation f9a7c990-a2d6-4390-a7f1-1f94f8d6fb07 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Deep retinex decomposition for low-light enhancement

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.779354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:20660c6da5e473b39a880a3c2b94df9b46695872cf0c3a3b1618f73e5c69e1f8

Observation 92c29cc1-00f6-428b-b1a2-26e31ef8bb35 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Hvi: A new color space for low-light image enhancement

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.784352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:04ab325954059702529f67e8ea279cc981786e1a9615883eeca23681362df406

Observation dd51ec6c-a0ec-48b4-a84c-2daa9b842073 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels From fidelity to perceptual quality: A semi- supervised approach for low-light image enhancement

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.801188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:9066a1f2abe33ca7b77f8ef08bf6ca237d68f81fb86bb2e365ba5101c148bdfb

Observation 06c9db21-2608-4077-aad9-1c3e804fea6b · outbound

This paper cites Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE TIP, 30:2072–2086.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE TIP, 30:2072–2086

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.849887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:e597c76b96b5e41f3c89b86c61324ef8f7dca96624928b615a98d9bca1ee23fb

Observation 8d8148e4-a1d6-4b97-a1c5-66eb0cb5a001 · outbound

This paper cites Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.774391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:047b4566b47b5bb92e45032f8e61d10a88fffaba753a78c428367e2ccf405b96

Observation 17599e47-65ea-4af7-bd6d-d48eb23325f6 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Learning enriched features for real image restoration and enhancement

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.804005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:40cbcc5b5650faa0e9c1836b39bbf61018b0407142ef1c587e8b89c8ab84ea41

Observation 4dd72393-e77e-4a6c-ab88-5faf4199cba8 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Restormer: Efficient transformer for high-resolution image restoration

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.798453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:504fa030f0de1b76d4f17a9338309d1d7876ef5539db236a6e607f7b687f2caf

Observation 0d4c5cb1-bf91-4310-a5bb-69137998b605 · outbound

This paper cites Benchmarking ultra-high-definition image super-resolution.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Benchmarking ultra-high-definition image super-resolution

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.760894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:dae1ed7c3dd61eb2d84884d9d186d6c10e868c51fa16106f5d26d7696e72ea00

Observation 827c527a-cf9e-4146-814b-d2f13d44cda7 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels The unreasonable effectiveness of deep features as a perceptual metric

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.763903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:de00ec027fbfaec3a0bbe40bf52c6dce7cb404fc26fff1be5f79b06fd72f5733

Observation 3bc30b45-032c-43df-bde0-f161129a9768 · outbound

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

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Kindling the darkness: A practical low-light image enhancer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.776841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:6e77f2434f17f0ae62a4ebca4a3b56a6c76d71529e11a2ef7125cca2ef43e7be

Observation ca6a9487-eff8-4ffd-95f4-9f8816c459c9 · outbound

This paper cites Beyond brightening low-light images.IJCV, 129(4): 1013–1037.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Beyond brightening low-light images.IJCV, 129(4): 1013–1037

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.753661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:1ebf53d9080ba4cefdd55b77cc27269c054e4d08bab88b0b207c8b5eb26cfc40

Observation 58b9dece-5373-47fd-a71b-804df6bef1b5 · outbound

This paper cites Pyramid diffusion models for low-light image enhancement.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Pyramid diffusion models for low-light image enhancement

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.787494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:a91669724ae80b0bce290d8e6cb0aa62927e82a4e682357ae7e5eb1c32245859

Observation 9f03a772-54db-4501-bb67-df7b880715ae · outbound

This paper cites Led- net: Joint low-light enhancement and deblurring in the dark.

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels Led- net: Joint low-light enhancement and deblurring in the dark

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T20:35:13.790199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:32:41.492849Z digest=sha256:e4745c0ee8bcb3acf1b43dd855523e43c366f4ef849222eee9e12a21f28ed7bd

Pith citing papers

Observation b63bffbd-952a-40db-a109-aebe4ecffe28 · inbound

Lighting-Aware Representation Learning under Controllable Lighting Variation cites this paper.

Lighting-Aware Representation Learning under Controllable Lighting Variation Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels

Reference 87

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T16:27:08.893392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T22:46:42.634171Z digest=sha256:20c6ee34f5be8215f3c572b107fc026a3dd6bac3417637dbec062dbaaae9fef9