Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:29:31.254926Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.12860.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:29:31.254926Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
50 of 50 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 34a59bfb-0001-43a2-8969-93b80912c524 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Brubaker, and Michael S
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ad213405-c305-44b6-ac63-bc84fb6f8b67 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Style-based film grain analysis and synthesis
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e52e112-3d60-45fe-983c-ae95da22345e · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Style-based film grain analysis and synthesis
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 59d93d5c-5fc8-4c1d-8141-d1c78b5cd32d · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Deep-based film grain removal and synthesis.IEEE Transactions on Image Processing, 32:5046–5059, 2023
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6e4ccf6f-0f04-47bc-b7b6-02822782da2f · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Ancuti, Cosmin Ancuti, Chris Hermans, and Philippe Bekaert
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 44563d90-541e-40ec-aa60-a73aa60a2900 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement End-to-end Optimized Image Compression
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52114644-96a6-4880-a3b5-5264b46889f7 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Variational image compres- sion with a scale hyperprior
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4ebe62f8-3c0b-4588-a780-6c4bb6f1a863 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Dehazenet: An end-to-end system for single image haze removal.IEEE transactions on image process- ing, 25(11):5187–5198, 2016
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation af7a6c5c-eaf2-4762-abd4-ac0d667413a2 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Im- age neural style transfer: A review.Computers and Electri- cal Engineering, 108:108723, 2023
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4a80d5b5-377e-4fb7-a2c8-5693bf28fdd8 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Any-resolution training for high- resolution image synthesis
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a2696ff4-afee-44fc-813c-27aff12e730e · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Learn- ing camera-aware noise models
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 194d59bc-3770-4c8c-a8f2-74879f11e99d · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Bampis, Zhi Li, and Alan C
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5bec8136-cbb7-4cfd-be6f-3d0f277fff79 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Diffusion pos- terior sampling for general noisy inverse problems
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3cf13fc8-fc0c-487d-93b9-5cb6b3a65011 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Stylegan-induced data-driven regularization for inverse problems
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 270edb06-e739-4694-b30f-5b7e8bc40d36 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Imagenet: A large-scale hierarchical image database
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dabb3831-786b-4c14-a55e-e2acbcd7eabe · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Stytr2: Im- age style transfer with transformers
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e40c655e-324b-40a4-acac-3dba5a135e62 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Simoncelli
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 571dd244-6d6d-4749-8887-a21988ab870c · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data.IEEE Transac- tions on Image Processing, 17(10):1737–1754, 2008
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5321ec13-06a2-464a-9204-efffee0dcf46 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Fre- quency separation for real-world super-resolution
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 62a163e8-af6c-4aa7-9f1a-cf733e68fc76 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Commons:quality images - Wikimedia Commons.https://commons.wikimedia.org/ wiki/Commons:Quality_images, n.d
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cd20ee13-01d8-4bf7-89ed-a543836c65e6 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Single image haze removal using dark channel prior
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fe3a999f-c998-4782-a7ba-aeca903645b7 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Real-world super-resolution via kernel estimation and noise injection
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 784ab751-b789-43a1-b4cf-109a64095533 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Neural style transfer: A review
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a45581c7-8feb-4093-affe-902c36dcfda1 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Noisetransfer: Image noise generation with contrastive embeddings
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2fa00cb6-1cca-4459-aca9-c46cd39cf98f · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement AOD-Net: All-in-one dehazing network
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b6c29e21-b2ab-4984-ad1d-5c10cbac29b3 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ce2df59b-97b3-42fd-8546-850ee73ccfe5 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Poisson-gaussian denoising using the exact unbiased inverse of the gener- alized anscombe transformation
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6f2ffc8b-ea6f-447b-b3d2-0af2d4322ecc · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Deep multi-scale convolutional neural network for dynamic scene deblurring
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f1211a6f-480e-41b8-8c83-338458b55fe0 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Film grain synthesis for av1 video codec
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a19aa97-016f-409f-9c57-4391d76aa875 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Robust un- supervised stylegan image restoration
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 300ab743-20e3-485f-877f-caa1f812f406 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation db355ce3-594d-4b3f-ae69-9f2cc520e9e9 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement From rain generation to rain re- moval
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f5c5c50e-df1e-48a6-b764-988cd18955c3 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unsuper- vised degradation representation learning for blind super- resolution
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 646d1613-1239-4997-8361-7fa57197d07a · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 770553f7-c84f-4143-b14e-7299a062c30f · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Recovering realistic texture in image super-resolution by deep spatial feature transform
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1efdf4b9-6042-4bd8-b994-7dd2f45b3658 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 83e7f79a-48c4-4e5b-aae3-d6df4fafe033 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Bovik, H.R
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f6ef71d-42d3-45f1-95c2-f2128b686978 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Blind quality assessment of multiply distorted images using deep neural networks
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d6bb79d4-df71-4217-9945-64709cccfd66 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Information theoretical analysis of multi- variate correlation.IBM J
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6d8fea0b-07ad-4c5f-8425-152ee1d19a82 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Physics-based noise modeling for extreme low-light photog- raphy.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537, 2022
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ecd9c3b0-e81b-4bf1-a94a-125fdc2c1938 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e48a06dc-8069-481b-bfd5-5d9706b75d75 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Dual adversarial network: Toward real-world noise removal and noise generation
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2ee989fd-5d08-4408-8d70-094c444e9b9e · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Zeiler, Dilip Krishnan, Graham W
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bdf0badc-e1e8-4b2c-9273-18385e10834f · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Designing a practical degradation model for deep blind image super-resolution
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 746fb725-4680-4a64-bb30-5a320b060b19 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Efros, Eli Shecht- man, and Oliver Wang
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6703b76-ce5e-4c49-ba2f-8c60f300ae3d · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Rethinking noise synthesis and modeling in raw denois- ing
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d7673538-8908-4ce0-93f7-91d5eab22949 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Joint learning con- tent and degradation aware feature for blind super-resolution
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bc961d39-5e0e-4798-bf2e-e84cd36a88ea · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement From noise modeling to blind image denoising
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 72ed199a-1c07-4cb2-8c2b-5b19c78db1a2 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement A fast single image haze removal algorithm using color attenuation prior
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 965d161d-3bfa-465f-8eb0-6f89bddffe57 · outbound
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Estimating fine-grained noise model via contrastive learning
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
No inbound Pith citation observations are available.