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Paper Citation Record · LEDGER

Leveraging Content and Context Cues for Low-Light Image Enhancement

As of 21 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 1 inbound Pith citation observation for arXiv:2412.07693.

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

pith.paper-citation-record.v1
2412.07693 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:40:17.988303Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:33.956932Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:59:35.831218Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact2
  • verified fuzzy51
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3afece8-5ec6-493c-841c-cb4af001a455 · outbound

This paper cites Getting to know low-light images with the exclusively dark dataset,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Getting to know low-light images with the exclusively dark dataset,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2ffc94d7-94bb-4768-a95d-dac0c4d52540 · outbound

This paper cites Learning to restore low- light images via decomposition-and-enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning to restore low- light images via decomposition-and-enhancement,

Reference 2

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no resolver link, observed 2026-08-11T18:40:17.610358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.610358Z digest=sha256:3f923e1d9547ebd497afcc8ac733791f3ab036e2ea3ad976e127c0c4d96ac4b3

Observation dc6b2f99-1de9-465e-8e23-ed615fa6d876 · outbound

This paper cites Adaptive unfolding total variation network for low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Adaptive unfolding total variation network for low-light image enhancement,

Reference 3

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raw_fallback, observed 2026-08-11T18:40:19.270900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9796deec-b49b-4872-bf81-0bd947ea83f6 · outbound

This paper cites Half wavelet attention on m- net+ for low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Half wavelet attention on m- net+ for low-light image enhancement,

Reference 4

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raw_fallback, observed 2026-08-11T18:40:19.252024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.620331Z digest=sha256:e76bec19c4dace7455e64d3c19548e7440d2d6c7fa1a65ed948bbcb53c7568db

Observation 0ec1f36e-8973-4873-83b0-47746f39b850 · outbound

This paper cites Snr-aware low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Snr-aware low-light image enhancement,

Reference 5

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raw_fallback, observed 2026-08-11T18:40:19.234054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.624994Z digest=sha256:dd956194ca59a56d55a8ffe87f4f2f3741ec7218ed99fa8ec19ec2b2fc378b7e

Observation be8eec24-56d0-48af-b345-26b7206571bf · outbound

This paper cites Learning semantic-aware knowledge guidance for low-light image en- hancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning semantic-aware knowledge guidance for low-light image en- hancement,

Reference 6

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raw_fallback, observed 2026-08-11T18:40:19.217606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.629216Z digest=sha256:ba7e740c1ffc309f55f38354573125bc2b17347ae5d8d59b7eb5f4eb61241d0c

Observation c969e137-c32f-4ae4-ab07-a72e23c0d006 · outbound

This paper cites Low-light image enhancement via structure modeling and guidance,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Low-light image enhancement via structure modeling and guidance,

Reference 7

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raw_fallback, observed 2026-08-11T18:40:19.200284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 69e99d26-7a16-46c5-bf1d-abcd8ff89bc6 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

Leveraging Content and Context Cues for Low-Light Image Enhancement Deep Retinex Decomposition for Low-Light Enhancement

Reference 8

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no resolver link, observed 2026-08-11T18:40:17.638117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.638117Z digest=sha256:59fda3d922be1b2660d602c4378fdfdd96aae23e80c658f0f549f7b7aa6a5eec

Observation e8a75b42-8349-443b-b2ee-815397bdf921 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Kindling the darkness: A practical low-light image enhancer,

Reference 9

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no resolver link, observed 2026-08-11T18:40:17.643184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.643184Z digest=sha256:e5d6494a971a92b4ee30ddd191d6205be32bc459fe7b114501e8f58d6f955940

Observation 36d2ef55-882c-4a96-b578-44ee60c0b868 · outbound

This paper cites Beyond brightening low-light images,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Beyond brightening low-light images,

Reference 10

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no resolver link, observed 2026-08-11T18:40:17.647808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c0f9ff0-aefb-4930-b1da-1c79a15f2606 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Sparse gradient reg- ularized deep retinex network for robust low-light image enhancement,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 82e86fe6-5350-4668-982d-8beb62b617a6 · outbound

This paper cites Deep color consistent network for low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Deep color consistent network for low-light image enhancement,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T18:40:19.146289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 389732d6-6d0f-4136-92f1-eedafd44550a · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Zero- reference deep curve estimation for low-light image enhancement,

Reference 13

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no resolver link, observed 2026-08-11T18:40:17.662807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.662807Z digest=sha256:fc23d0c702b774193e02973c35bafae700e8cd9ab4b139f9bf53a0cd2993cfb9

Observation de995a80-dbaa-4aa9-adbd-8fd8c4797849 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning to enhance low-light image via zero-reference deep curve estimation,

Reference 14

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raw_fallback, observed 2026-08-11T18:40:19.117715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.667881Z digest=sha256:af620289364cb4005c574d66996a0896276a063122fde20cb83dd5e5e9898069

Observation 5d3d28ed-b08b-432d-a3ae-d5558cecd305 · outbound

This paper cites Semantic-guided zero-shot learning for low- light image/video enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Semantic-guided zero-shot learning for low- light image/video enhancement,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T18:40:19.094098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.673107Z digest=sha256:49dffda84a3badedbf423409742076a19119d9da6811eb0bbb652f1b0b1c3fb2

Observation 956598ce-9ddf-47c0-ac63-a8d1eca94b39 · outbound

This paper cites Unsupervised image prior via prompt learning and clip semantic guidance for low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Unsupervised image prior via prompt learning and clip semantic guidance for low-light image enhancement,

Reference 16

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raw_fallback, observed 2026-08-11T18:40:19.074115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.678035Z digest=sha256:81a1de30dc64fb948bc2a596f660a320e443b8ce24a399560c0113c555728b94

Observation aefaf032-c626-439e-b531-f22673c977f8 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning transferable visual models from natural language supervision,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a84e1900-ae7f-44eb-9583-e95e670a4b28 · outbound

This paper cites Learning to see in the dark,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning to see in the dark,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-11T18:40:19.048675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 36bfb2e4-00a5-41d4-b1d5-d6c8fae195c2 · outbound

This paper cites What else can fool deep learning? ad- dressing color constancy errors on deep neural network performance,.

Leveraging Content and Context Cues for Low-Light Image Enhancement What else can fool deep learning? ad- dressing color constancy errors on deep neural network performance,

Reference 19

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raw_fallback, observed 2026-08-11T18:40:19.032867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation eacda274-85be-47e6-b460-ab93aff02fbd · outbound

This paper cites Advancing image understanding in poor visibility environments: A collective benchmark study,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Advancing image understanding in poor visibility environments: A collective benchmark study,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T18:40:19.015183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.698157Z digest=sha256:b7872f7e8c720fd959c52c16d1844ec0d6edb62fdc5ab78693a2546efc842c87

Observation bda3aec8-7de3-4fb1-a787-393030e9ece4 · outbound

This paper cites Denoising diffusion probabilistic models,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Denoising diffusion probabilistic models,

Reference 21

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no resolver link, observed 2026-08-11T18:40:17.703225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6a864c38-ad3a-43c5-a2a7-fa1824c6a792 · outbound

This paper cites Hardware-in-the-loop end-to-end optimization of camera im- age processing pipelines,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Hardware-in-the-loop end-to-end optimization of camera im- age processing pipelines,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.987382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.708148Z digest=sha256:c8c0aef6f06f5b55876f9773e2d00a61dd377816195ef78a4384c624f731d195

Observation bd4054a3-626e-48ea-95b6-89d6cbb80c94 · outbound

This paper cites Recurrent exposure generation for low-light face detection,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Recurrent exposure generation for low-light face detection,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.971780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f5206a6e-6076-46d7-b479-ff8dfa4124ce · outbound

This paper cites NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset.

Leveraging Content and Context Cues for Low-Light Image Enhancement NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:40:18.122986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f2294593-d33e-44b7-91dc-7150960e8a00 · outbound

This paper cites Crafting object detection in very low light,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Crafting object detection in very low light,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.954871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.722713Z digest=sha256:6002c4f8627f058d574d3a5d92c30b7e0b39c741c175e5a8b5cbad87cf8a8ae4

Observation 4f9f58b7-7c05-4ba0-9c9f-a399db93d6ef · outbound

This paper cites Genisp: neural isp for low-light machine cognition,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Genisp: neural isp for low-light machine cognition,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.939353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8c360e91-2451-4bd0-aa7e-2dfea4965ef8 · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Exploring clip for assessing the look and feel of images,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.921913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.732088Z digest=sha256:59e87baa33e57f41b9d62156cdd9385ca1516ef3804f20224265f1da6dfd7354

Observation eec051c4-97d0-449b-bfc6-91f1240392d7 · outbound

This paper cites Iterative prompt learning for unsupervised backlit image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Iterative prompt learning for unsupervised backlit image enhancement,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.737036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.737036Z digest=sha256:a8fcecd86c3663c97f9a0451730eeb0b9e24a524ea45ac020f80b55f39e0cd64

Observation 9acd3ea4-a7e4-4d0a-8341-47f3309388b9 · outbound

This paper cites Tienet: task-oriented image enhancement network for degraded object detection,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Tienet: task-oriented image enhancement network for degraded object detection,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.891433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.744455Z digest=sha256:c3e23c15d46c3ecee0810114d0d77b98aefe4840e60b6344afd6fcb615cf029b

Observation 6870749a-1e3f-441c-9cad-b2506358850e · outbound

This paper cites Featen- hancer: Enhancing hierarchical features for object detection and beyond under low-light vision,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Featen- hancer: Enhancing hierarchical features for object detection and beyond under low-light vision,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.749374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.749374Z digest=sha256:3430e3a6d798f1df5f97c8a771e8d4128148d86482e759b20278564e9cd3f00b

Observation ea501219-b555-4508-9770-fd470241693d · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Raw or cooked? object detection on raw images,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.866420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.753998Z digest=sha256:5a96f7f560190427baeb6d15c7ace57c3bde550af97e9d4a023ae3544f7f93b3

Observation e4f21349-d354-4145-a87e-00061842498d · outbound

This paper cites Dynamicisp: dy- namically controlled image signal processor for image recognition,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Dynamicisp: dy- namically controlled image signal processor for image recognition,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.850502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.759037Z digest=sha256:a479a9a463e820eb5e14e9c7e6b6069816af58833dcf0627b9b8786ff63c07ba

Observation 9a042535-3739-46f2-b729-461fa38f8ee1 · outbound

This paper cites Human pose estimation in extremely low-light condi- tions,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Human pose estimation in extremely low-light condi- tions,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.834933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.763587Z digest=sha256:84b6181de25871c13b8caa629c4c5be766df52a502c855433278dafcb68e6aec

Observation 0cb944c5-ebc4-474a-b103-b015ffe87e3e · outbound

This paper cites DarkVision: A Benchmark for Low-light Image/Video Perception.

Leveraging Content and Context Cues for Low-Light Image Enhancement DarkVision: A Benchmark for Low-light Image/Video Perception

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:40:18.099971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.768938Z digest=sha256:9810e219dbd1b86534684148d6f2df0a8196792170f02b3d29dcb0757501b5ad

Observation 5927d5c3-c7c8-4686-b4d6-0f9551da6f7e · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.773538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.773538Z digest=sha256:7b08354c0201d00e8e80bde89da14a70963e1e8c83ca893c6f5d4fc558996392

Observation 83e815a3-9fe5-44f1-8482-72458fcb5580 · outbound

This paper cites Zero-reference low-light enhance- ment via physixcal quadruple priors,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Zero-reference low-light enhance- ment via physixcal quadruple priors,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.807802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.778130Z digest=sha256:4488a170460acd777b5b0c34615e1fde9fa946ea9f323f310582a94a17213888

Observation e069c3ad-1ee8-4f5d-934c-628377ab67ff · outbound

This paper cites The retinex theory of color vision,.

Leveraging Content and Context Cues for Low-Light Image Enhancement The retinex theory of color vision,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.782434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.782434Z digest=sha256:97a32646814ef27120934beaac23c914cf68a8310edb0e76365112194760d2ae

Observation 8456d3e4-b345-4df5-b071-251f104b6a7c · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Properties and performance of a center/surround retinex,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.781042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.786488Z digest=sha256:56a32742d2fcb09c368d3f4de0c219fbd37366e6e11c9a7dd253cb9c02b3b14c

Observation b17d51d2-eb93-4181-b9e4-76abf8666b6b · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement A multiscale retinex for bridging the gap between color images and the human observation of scenes,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.763663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.790702Z digest=sha256:f22f6a7cb3bba50be54fb7d2bd5085cef0241faf1337f96a3f9803c2b2e651c1

Observation 30726b47-8e4d-459a-ad56-2042fbef355d · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Naturalness preserved enhancement algorithm for non-uniform illumination images,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.794631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.794631Z digest=sha256:2dda43dc7a120463b3c5e15a6687f23c456a57b5eb2e341bffc64ac2bc737502

Observation a987fdfd-fbe1-47a7-bf47-cfab74aa4e07 · outbound

This paper cites A fusion-based enhancing method for weakly illuminated images,.

Leveraging Content and Context Cues for Low-Light Image Enhancement A fusion-based enhancing method for weakly illuminated images,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.737148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.798532Z digest=sha256:ec31abc2079084fd38f94e75a6f5186d8305aadc89479d35a0a119d52bec3794

Observation 86229453-041a-43f9-92f0-548d8e007134 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Lime: Low-light image enhancement via illumination map estimation,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.802699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.802699Z digest=sha256:4110152b3559b23e63696c2eb4e0ff4cfa87bb390f164e5e4c0cfb3eab1f5ca8

Observation f40fbfaf-ed19-4b24-8535-f043260cac5e · outbound

This paper cites Joint denoising and enhancement for low-light images via retinex model,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Joint denoising and enhancement for low-light images via retinex model,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.705370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.806910Z digest=sha256:cc63914a3f29071c4b0e681d2811ff548fe4263eb2b1f8815dcc4f51b161044f

Observation 4593becc-61c4-4d76-9962-006315eec521 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Structure-revealing low- light image enhancement via robust retinex model,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.811976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.811976Z digest=sha256:e37a07bb5a046d3674eddbc3aed10fe1a69834df629e50bb044786a81571a4e1

Observation bb1e7ceb-c712-4682-8f17-d75a949b5466 · outbound

This paper cites Low- light image enhancement based on virtual exposure,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Low- light image enhancement based on virtual exposure,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.676143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.816615Z digest=sha256:daddb4c27e50da70fdee3a80ba652f06b157473e3989c7f9b1d2ccf0b655e7f8

Observation 8012d915-8dbc-41ad-a281-e458706f4a0a · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Enlightengan: Deep light enhancement without paired supervision,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.821031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.821031Z digest=sha256:ecb64f5c3fddfe05b3ac846808969b23eb92258b7744538d344909d37037865b

Observation db6704cd-e528-4dbc-84d8-ccf49e12b094 · outbound

This paper cites Abandoning the bayer-filter to see in the dark,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Abandoning the bayer-filter to see in the dark,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.648027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.825645Z digest=sha256:1209478b8bd1138bbe36e1e43a15eb651097845cd56863787df045e244d238d8

Observation 8b392de6-86a9-4db0-8dd0-c52e0d365add · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhance- ment,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.628784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.830004Z digest=sha256:95f726921c168637b2bc625c6694fb516cae00e8d06f0ee6fca4b57053d13246

Observation 88a0e1c1-ff05-4698-99e2-e2f87360eb56 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Low-light image enhancement with normalizing flow,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.607173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.834540Z digest=sha256:9c4c9e6c82efacdebd22e4f6c5ef2e11064403e6842384ce3284d61aa6b83621

Observation 30c52327-dbe1-4b9a-be80-eda6a9dab117 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Uretinex- net: Retinex-based deep unfolding network for low-light image enhance- ment,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.839082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.839082Z digest=sha256:0f8e4c73a312d7c40e1cf6a3aad06afe243f952cca3fc9f7912e610d44af0257

Observation 49f44f42-fc2b-40db-b4dd-79d7652afd87 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Toward fast, flexible, and robust low-light image enhancement,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.843832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.843832Z digest=sha256:8ecc371180bfa4de25178995d11097f4aa0c27104959d43629b3734bff4b27b9

Observation 65138004-e26b-4f21-85e0-3448db76ddc3 · outbound

This paper cites You do not need additional priors or regularizers in retinex-based low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement You do not need additional priors or regularizers in retinex-based low-light image enhancement,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.559870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.848786Z digest=sha256:0f646d102a09b909b6a531348130abb6bc315fedc29eeafefa62a51d173c654e

Observation 94b08e8c-ec6d-4955-9242-f12a392048f6 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning a deep single image contrast enhancer from multi-exposure images,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.853306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.853306Z digest=sha256:716cb8ad76c4840a08efe896d17854e8572ef1ccc282d6c64b24068c13fb02fa

Observation b947dd7c-5821-4900-86f9-86be353d9973 · outbound

This paper cites Seeing motion in the dark,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Seeing motion in the dark,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.531886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.857679Z digest=sha256:ec9be0fbaaf7a49601e079f6fcc0b3e2f34fd8084f0b4bd1878dc3f32d06619a

Observation 1bda1cc1-badd-43ce-bfc3-fe4d3bec5db5 · outbound

This paper cites R2rnet: Low-light image enhancement via real-low to real-normal network,.

Leveraging Content and Context Cues for Low-Light Image Enhancement R2rnet: Low-light image enhancement via real-low to real-normal network,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.509923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.862285Z digest=sha256:6bb2a1fa16df08be713906bc41614a32da1fab0f150f7156c9c025213a2c3656

Observation 0b343a01-5922-4aba-86b6-c0511d181dc0 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning photo- graphic global tonal adjustment with a database of input/output image pairs,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.493284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.867030Z digest=sha256:3087e00391812fd96ed84991d799a6d842172f4f6ac44c8a45a51f7ad8a32930

Observation 810ec184-350b-47b9-9fc7-bf3ecf404201 · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning to see moving objects in the dark,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.477159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.871199Z digest=sha256:45f05d87226a411616e1c39ce8b047bfeaef021504e3f0e736438ea096c8adc6

Observation e9be721c-04ba-4a71-b399-2e33594a630b · outbound

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

Leveraging Content and Context Cues for Low-Light Image Enhancement From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.457047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.875447Z digest=sha256:14fc452acda5d4b8ba85ff13b7a3dd209c40042f53b38a44d1862f7bff391caa

Observation 7a62c530-6dc5-4322-aeec-cb62875fb9e4 · outbound

This paper cites Pie: Physics-inspired low-light enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Pie: Physics-inspired low-light enhancement,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.440456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.879725Z digest=sha256:4a9c1eabe44bcb23101d05884fd38db56fc037ce19bb73e75eedfe5fcdfebe13

Observation 56bdaade-9efc-4b40-b1ca-a9a332e4105f · outbound

This paper cites Learning a simple low-light image enhancer from paired low-light instances,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Learning a simple low-light image enhancer from paired low-light instances,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.421951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.883924Z digest=sha256:98b8b95827ccbcff2cd444b9214c4799b3335779fe85c96559455da821dc6653

Observation 1a280e32-aabd-4beb-ba4d-f37cd7873110 · outbound

This paper cites A spatial processor model for object colour perception,.

Leveraging Content and Context Cues for Low-Light Image Enhancement A spatial processor model for object colour perception,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.404141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.888188Z digest=sha256:dd993391ebe7ff3763ce65af9f5440feeeb07aefac2cf1cb39ae4c18530932d1

Observation 594c513d-99d9-4a71-b5a8-c9e49d968b1c · outbound

This paper cites Difflight: Integrating content and detail for low-light image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Difflight: Integrating content and detail for low-light image enhancement,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.386945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.893112Z digest=sha256:d0ab4a9603ffbbace9142649d3d5243c1b8972454c3c068960e0bc949e79dfdf

Observation 362736f1-c83c-4f07-9a21-212613479e64 · outbound

This paper cites Low-light image enhancement with wavelet-based diffusion models,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Low-light image enhancement with wavelet-based diffusion models,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.897496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.897496Z digest=sha256:a097aa01acc986fdc4e3686b181e13cf4145474b68efab914b6ff19aa43783e8

Observation 07168e12-cbd6-472d-b290-716228145273 · outbound

This paper cites Pyramid Diffusion Models For Low-light Image Enhancement.

Leveraging Content and Context Cues for Low-Light Image Enhancement Pyramid Diffusion Models For Low-light Image Enhancement

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.902296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.902296Z digest=sha256:e1c987a4f9654dde5af17896ddec4e7cc5adb4fcf135dc67b28941817cff97f2

Observation ba28117d-7eff-4125-a489-0a82e83f20ce · outbound

This paper cites Low-light image enhancement with knowledge distillation,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Low-light image enhancement with knowledge distillation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.358237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.907282Z digest=sha256:9ce0c50da0a92f00f4a62d5f23d37f31125a337613f251788eaa159af80a8a93

Observation 42b8a426-fd89-4899-82a0-4fd3bccb3d8c · outbound

This paper cites Hla-face: Joint high-low adaptation for low light face detection,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Hla-face: Joint high-low adaptation for low light face detection,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.912807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.912807Z digest=sha256:7bbdb9a37371f4a7862d3ede118c3d859579f6129bbd864a6b5c461a3ce1987a

Observation dfa6ba13-caf7-4626-820c-72a3aa72e4d0 · outbound

This paper cites Arid: A new dataset for recognizing action in the dark,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Arid: A new dataset for recognizing action in the dark,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.329733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.917813Z digest=sha256:dec282d37bf996df9aedf7436b2121b93c93cace8b6cd212a01b7fee8241400d

Observation c273b4bf-e788-4c11-93ce-cd2d9ebdfca7 · outbound

This paper cites Deep residual learning for image recognition,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Deep residual learning for image recognition,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.922788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.922788Z digest=sha256:ffa0d8d9fba4790884b681da644a7a1ec645d27fcfa7a31286f4820ca4502760

Observation a8e2bd96-2901-44b7-86e0-dd11e3439314 · outbound

This paper cites When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.

Leveraging Content and Context Cues for Low-Light Image Enhancement When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.927505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.927505Z digest=sha256:8c8fd0581551f352ab9b07a92d41b90ea80aced0ebcdfb51ba9d99f39e7b1b2d

Observation 2ebc9903-1f66-40ff-b31e-bcf9f3a694a4 · outbound

This paper cites Se- mantic segmentation guided real-world super-resolution,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Se- mantic segmentation guided real-world super-resolution,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.301862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.932551Z digest=sha256:dcbf3232f37cd6dadbc4a847c992dbe5d66148d63d3109978520f1a757338279

Observation 12aaadc7-579b-48b3-b305-a4545e03736e · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Recovering realistic texture in image super-resolution by deep spatial feature transform,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.286569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.937537Z digest=sha256:a83d026af160cef562f63554aeb60b2f58e715ca546282642d49ca2e74c41ea0

Observation d6207df8-e0f9-438a-8a3d-8d3e658f7a6a · outbound

This paper cites Blind face restoration via deep multi-scale component dictionaries,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Blind face restoration via deep multi-scale component dictionaries,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.272013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation de1d4822-5586-480b-aacf-8322174dc975 · outbound

This paper cites End-to-end high dynamic range camera pipeline optimiza- tion,.

Leveraging Content and Context Cues for Low-Light Image Enhancement End-to-end high dynamic range camera pipeline optimiza- tion,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.256298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.946955Z digest=sha256:e1127e8e0b91765927079e5eef762baaf174836ffbb78fd899fa9864d75f5a8f

Observation de11d03f-2aa9-4b00-9bf9-6440e24a5585 · outbound

This paper cites Open-vocabulary detr with conditional matching,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Open-vocabulary detr with conditional matching,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.240327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.951585Z digest=sha256:4cc064fefad5e43a1bedf56a771a18db2f7f61b6302695fb73de28bccca7f2a0

Observation 50a93d8b-782d-475d-afce-b36137889b64 · outbound

This paper cites F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models.

Leveraging Content and Context Cues for Low-Light Image Enhancement F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.955921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.955921Z digest=sha256:c0f05b12981e80e38519b2929986dbe27e8975bb880e0ec4f78ffcf8ccec6e55

Observation 589359b7-bfee-43a0-be2a-08c3dbf7a645 · outbound

This paper cites Extract free dense labels from clip,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Extract free dense labels from clip,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.961082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.961082Z digest=sha256:c32cdc5d5469a423cf2356210f2d43ef550638bfdf88025b316f42246a6d4df0

Observation ba5477a9-412c-4198-9467-a71d22a933d3 · outbound

This paper cites YOLO-World: Real-Time Open-Vocabulary Object Detection.

Leveraging Content and Context Cues for Low-Light Image Enhancement YOLO-World: Real-Time Open-Vocabulary Object Detection

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.965787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.965787Z digest=sha256:8f150fab6bc950dc8cc6fcbdf021a620a8369c95518db1150c77cd46bf362be1

Observation 2b8c6ea5-5d05-4221-b1c2-b44c3a03c351 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Objects365: A large-scale, high-quality dataset for object detection,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T18:40:17.970373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:40:17.970373Z digest=sha256:93f301dd1aeeaa729db82d5461c45dbdc9c5107fdcffddcdd46c54483642d4b2

Observation d90c2f4b-a2cd-42f3-913c-a5832641b64b · outbound

This paper cites Backlitnet: A dataset and network for backlit image enhancement,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Backlitnet: A dataset and network for backlit image enhancement,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.204405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.974777Z digest=sha256:20683194d2f024541c228dc846ae6388facc757da906bfc8e50d306b72252e01

Observation 488fa45d-86fc-49c9-b8f5-863ad0d8c655 · outbound

This paper cites Yolo5face: Why reinventing a face detector,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Yolo5face: Why reinventing a face detector,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.188835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.979212Z digest=sha256:28f1c4e55ce80a36c33f712613a98a2cb9dc44cc9cb459f36b28bb73ae61946b

Observation bc355d85-d067-43e0-8ee0-993de232fa53 · outbound

This paper cites Benchmarking low-light image enhancement and beyond,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Benchmarking low-light image enhancement and beyond,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.172459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.983676Z digest=sha256:e3fcf2b879286fa9d8d5b0e15e37aa38656087fd5093ca3be71c6c0eac767787

Observation 451d7f97-bda0-4400-a92c-84bf98d3b8e4 · outbound

This paper cites Neighbor2neighbor: Self- supervised denoising from single noisy images,.

Leveraging Content and Context Cues for Low-Light Image Enhancement Neighbor2neighbor: Self- supervised denoising from single noisy images,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:40:18.156505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:40:17.988303Z digest=sha256:cfaa7e274c70f169a7e8a6eea52316daa2689e4e3d40d6d5a0654eebab5d18ed

Pith citing papers

Observation d09e08aa-2626-498a-90f5-614a9c1979f8 · inbound

CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing cites this paper.

CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing Leveraging Content and Context Cues for Low-Light Image Enhancement

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:59:35.893489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T12:59:33.956932Z digest=sha256:b75aa819c03873199317c8bc3c51e62adc0d349f7ecfc5623321d7c0ee41828f