Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:36:49.475715Z
Paper Citation Record · LEDGER
Learning to See in the Extremely Dark
As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.21132.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:43:07.193966Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:43:11.166715Z
Reference resolution
43 of 43 outbound references displayed
- verified exact3
- verified fuzzy33
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6a5041b4-176e-45e5-bd5a-3224732abbb5 · outbound
This paper cites Retinexformer: One-stage retinex- based transformer for low-light image enhancement.
Learning to See in the Extremely Dark Retinexformer: One-stage retinex- based transformer for low-light image enhancement
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:56.965731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 95d0fd93-4010-4be0-9f91-c2863c25cc18 · outbound
This paper cites Learning to see in the dark.
Learning to See in the Extremely Dark Learning to see in the dark
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:56.785737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4e5e1c8b-517c-4cda-aef6-d6a4d201c62b · outbound
This paper cites Seeing motion in the dark.
Learning to See in the Extremely Dark Seeing motion in the dark
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:56.572260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 300f8b47-5342-47bb-a9f7-2919ef29a18f · outbound
This paper cites Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement.
Learning to See in the Extremely Dark Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:36:50.051029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 82b7de27-fcc0-4304-9730-40188b0d53b7 · outbound
This paper cites Come-closer-diffuse-faster: Accelerating conditional diffu- sion models for inverse problems through stochastic contrac- tion.
Learning to See in the Extremely Dark Come-closer-diffuse-faster: Accelerating conditional diffu- sion models for inverse problems through stochastic contrac- tion
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:56.384373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 373b5436-1d35-437e-bfbb-0cde54c4e9e4 · outbound
This paper cites Abandoning the bayer-filter to see in the dark.
Learning to See in the Extremely Dark Abandoning the bayer-filter to see in the dark
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:56.195859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6736af91-eeb0-4700-add5-89c1cb3070cb · outbound
This paper cites Self-guided network for fast image denoising.
Learning to See in the Extremely Dark Self-guided network for fast image denoising
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:55.915146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e64a517-7f29-4f10-a326-c46c55ec51e2 · outbound
This paper cites Low-light image enhancement via breaking down the darkness.
Learning to See in the Extremely Dark Low-light image enhancement via breaking down the darkness
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:55.658209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e25f4f12-a5f9-4356-b3ed-38db70df90e3 · outbound
This paper cites Lime: Low-light im- age enhancement via illumination map estimation.
Learning to See in the Extremely Dark Lime: Low-light im- age enhancement via illumination map estimation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:55.445110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3143b5fb-40c8-4c65-a9f6-9b16b8ef302d · outbound
This paper cites Fuzzy color histogram and its use in color image retrieval.IEEE TIP, 11(8):944–952, 2002.
Learning to See in the Extremely Dark Fuzzy color histogram and its use in color image retrieval.IEEE TIP, 11(8):944–952, 2002
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:55.232721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1759e14b-6d2d-49b3-a7ba-6aae044fb1be · outbound
This paper cites Denoising dif- fusion probabilistic models.
Learning to See in the Extremely Dark Denoising dif- fusion probabilistic models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:46.167038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3843c8e1-60b1-44eb-893e-eb9b0928a418 · outbound
This paper cites Global structure-aware diffusion pro- cess for low-light image enhancement.
Learning to See in the Extremely Dark Global structure-aware diffusion pro- cess for low-light image enhancement
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:55.034976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 64eef6a5-9578-46b8-8996-a6c16132a9de · outbound
This paper cites Towards low light enhancement with raw images.
Learning to See in the Extremely Dark Towards low light enhancement with raw images
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:54.873127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c79d4942-f165-4691-b860-a90c7745844f · outbound
This paper cites Low-light image enhancement with wavelet-based diffusion models.
Learning to See in the Extremely Dark Low-light image enhancement with wavelet-based diffusion models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:54.769271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c0a1fc6c-ea11-48ef-87c6-b18062bcb839 · outbound
This paper cites Dnf: Decouple and feedback network for seeing in the dark.
Learning to See in the Extremely Dark Dnf: Decouple and feedback network for seeing in the dark
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:54.568198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56588c11-89b0-4a6d-a59c-bca9ebf4482b · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Learning to See in the Extremely Dark Adam: A Method for Stochastic Optimization
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:46.686650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5e6c9ab-d282-400e-957c-62b6217a3fd5 · outbound
This paper cites Restoring extremely dark images in real time.
Learning to See in the Extremely Dark Restoring extremely dark images in real time
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:54.291977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 78fdb617-3841-40f3-b748-5a4fe260efd8 · outbound
This paper cites Towards Fast and Light-Weight Restoration of Dark Images.
Learning to See in the Extremely Dark Towards Fast and Light-Weight Restoration of Dark Images
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:36:49.837682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 89bb1e3a-7006-4b14-af10-98e80bd4579e · outbound
This paper cites The retinex theory of color vision.
Learning to See in the Extremely Dark The retinex theory of color vision
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:54.029109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f538030-a552-4b84-9e41-967ec3ecf20c · outbound
This paper cites Embedding fourier for ultra-high-definition low-light image enhancement.
Learning to See in the Extremely Dark Embedding fourier for ultra-high-definition low-light image enhancement
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:47.127992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cfc81e8-a701-480f-a807-1347a6539239 · outbound
This paper cites Dmhomo: Learning ho- mography with diffusion models.
Learning to See in the Extremely Dark Dmhomo: Learning ho- mography with diffusion models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:53.840191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e142f6a8-d455-4fc6-a1d6-4f0ff78271ee · outbound
This paper cites Flowdiffuser: Advancing optical flow es- timation with diffusion models.
Learning to See in the Extremely Dark Flowdiffuser: Advancing optical flow es- timation with diffusion models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:53.716267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 426147ba-2311-40f4-b62c-2eefd4c075c3 · outbound
This paper cites Improving extreme low-light image denoising via residual learning.
Learning to See in the Extremely Dark Improving extreme low-light image denoising via residual learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:53.530318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5efd8190-e5be-4710-8252-03b9156a8504 · outbound
This paper cites Elucidating the exposure bias in diffusion models.
Learning to See in the Extremely Dark Elucidating the exposure bias in diffusion models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:47.585393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7e999d8-21c4-4778-89ca-b0ee05fbb6c6 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Learning to See in the Extremely Dark U-net: Convolutional networks for biomedical image segmentation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:53.213694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1be19eea-a801-4d8d-922a-328313d152e3 · outbound
This paper cites Human motion diffusion as a generative prior.
Learning to See in the Extremely Dark Human motion diffusion as a generative prior
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:53.031735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 52d4e5e2-c115-4341-9249-84832a7b661d · outbound
This paper cites Denois- ing diffusion implicit models.
Learning to See in the Extremely Dark Denois- ing diffusion implicit models
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:52.810743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a1b9c249-614f-4b67-9794-d337231dcd43 · outbound
This paper cites Seeing dynamic scene in the dark: A high- quality video dataset with mechatronic alignment.
Learning to See in the Extremely Dark Seeing dynamic scene in the dark: A high- quality video dataset with mechatronic alignment
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:52.601390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46276c25-07a8-475a-90fd-6719443f38c8 · outbound
This paper cites Practical deep raw image denoising on mobile devices.
Learning to See in the Extremely Dark Practical deep raw image denoising on mobile devices
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:52.339924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2006fd52-e986-4e2f-814f-6a4c705ba564 · outbound
This paper cites Low-light image enhancement with illumination-aware gamma correction and complete image modelling network.
Learning to See in the Extremely Dark Low-light image enhancement with illumination-aware gamma correction and complete image modelling network
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:52.130526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2e829c1e-d3e6-4c63-92bf-fd177e2235c8 · outbound
This paper cites Exposurediffusion: Learning to expose for low-light image enhancement.
Learning to See in the Extremely Dark Exposurediffusion: Learning to expose for low-light image enhancement
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:51.956492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c702f847-37be-49de-a9b4-4cff293fe8f3 · outbound
This paper cites Bovik, H.R.
Learning to See in the Extremely Dark Bovik, H.R
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:48.528733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3454ddf8-441f-4650-813d-8d10550a9fc7 · outbound
This paper cites Deep retinex decomposition for low-light enhancement.
Learning to See in the Extremely Dark Deep retinex decomposition for low-light enhancement
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:51.721484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fe084755-9887-4526-ac6b-960148336df2 · outbound
This paper cites Physics-based noise modeling for extreme low-light photog- raphy.
Learning to See in the Extremely Dark Physics-based noise modeling for extreme low-light photog- raphy
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:51.537878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 55afa0c1-6e6a-4326-ba42-ce20af1f2c8d · outbound
This paper cites LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models.
Learning to See in the Extremely Dark LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:36:49.685625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 07833f29-4b50-4f6d-b2da-a78a11f998f4 · outbound
This paper cites Learning to restore low-light images via decomposition-and- enhancement.
Learning to See in the Extremely Dark Learning to restore low-light images via decomposition-and- enhancement
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:51.293767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fa3bced4-59d0-4a29-af99-dea9a15ef56b · outbound
This paper cites Sparse gradient regularized deep retinex network for robust low-light image enhancement.
Learning to See in the Extremely Dark Sparse gradient regularized deep retinex network for robust low-light image enhancement
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:51.085349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation da5b2d1c-7bc5-42e3-9da0-78de5c347d8a · outbound
This paper cites Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model.
Learning to See in the Extremely Dark Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:50.841632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fdd27c1e-c103-40da-af0e-15248d85b2b5 · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
Learning to See in the Extremely Dark The unreasonable effectiveness of deep features as a perceptual metric
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:49.112727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 943fed43-4c61-46e7-88f8-241267184be2 · outbound
This paper cites Beyond brightening low-light images.
Learning to See in the Extremely Dark Beyond brightening low-light images
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:50.628617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a2e17a90-ca4a-4adc-a4ee-8f42abe51c64 · outbound
This paper cites Rethinking noise synthesis and modeling in raw denois- ing.
Learning to See in the Extremely Dark Rethinking noise synthesis and modeling in raw denois- ing
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:50.394971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2c41dda3-1228-431e-a778-2c24faa8a3b1 · outbound
This paper cites Pyramid diffusion models for low-light image enhancement.
Learning to See in the Extremely Dark Pyramid diffusion models for low-light image enhancement
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:36:50.233259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1837b657-2b0d-4b96-ac3c-6305676f2407 · outbound
This paper cites Eemefn: Low-light image enhancement via edge-enhanced multi- exposure fusion network.
Learning to See in the Extremely Dark Eemefn: Low-light image enhancement via edge-enhanced multi- exposure fusion network
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:49.475715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 28076a04-fab1-4e9e-964a-c163c675fa50 · inbound
AU-IQA: A Benchmark Dataset for Perceptual Quality Assessment of AI-Enhanced User-Generated Content cites this paper.
AU-IQA: A Benchmark Dataset for Perceptual Quality Assessment of AI-Enhanced User-Generated Content Learning to See in the Extremely Dark
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T23:43:11.283790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.