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Paper Citation Record · LEDGER

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.23068.

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

pith.paper-citation-record.v1
2505.23068 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:36.265147Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy40
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d7282a4-4474-48d7-8019-e724448a033a · outbound

This paper cites Bilateral interaction for local- global collaborative perception in low-light image enhance- ment.IEEE Transactions on Multimedia, 2024.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Bilateral interaction for local- global collaborative perception in low-light image enhance- ment.IEEE Transactions on Multimedia, 2024

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8889ae5d-1089-4616-8472-38478053c36c · outbound

This paper cites Perceptual decoupling with heterogeneous auxiliary tasks for joint low-light image enhancement and deblurring.IEEE Transactions on Multimedia, pages 6663– 6675, 2024.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Perceptual decoupling with heterogeneous auxiliary tasks for joint low-light image enhancement and deblurring.IEEE Transactions on Multimedia, pages 6663– 6675, 2024

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c1abd456-d358-4b42-9401-2d18556ed0d1 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 3

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 2d9d4171-f1a5-41d5-97c6-cf2cdc7c00b3 · outbound

This paper cites Illumination distillation framework for nighttime person re-identification and a new benchmark.IEEE Transactions on Multimedia, pages 1–14,.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Illumination distillation framework for nighttime person re-identification and a new benchmark.IEEE Transactions on Multimedia, pages 1–14,

Reference 4

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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 2026-08-18T06:34:40.430872+00:00.

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Observation ee850d98-11c4-40a4-b08b-d4a8cec2e613 · outbound

This paper cites SPN2D-GAN: Semantic prior based night-to-day image-to-image translation.IEEE Trans- actions on Multimedia, pages 1–15, 2022.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration SPN2D-GAN: Semantic prior based night-to-day image-to-image translation.IEEE Trans- actions on Multimedia, pages 1–15, 2022

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bd62b92e-b309-4f02-a2fb-15c4bafb9d96 · outbound

This paper cites Making the rarth clear at night: A high-resolution nighttime light image deblooming network.IEEE Transac- tions on Geoscience and Remote Sensing, 61:1–13, 2023.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Making the rarth clear at night: A high-resolution nighttime light image deblooming network.IEEE Transac- tions on Geoscience and Remote Sensing, 61:1–13, 2023

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.050889Z digest=sha256:b901312b661d8871f568426f454fb038245d767fb4bb4943bc5b816e8de4555b

Observation cd81259c-c335-4a9b-84ad-c784776fa939 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Kindling the darkness: A practical low-light image enhancer

Reference 7

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 7fffbae8-5b65-42d4-bee9-42cc68079135 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Deep retinex decomposition for low-light enhancement

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.063636Z digest=sha256:aeddced0c624a5d923a207bdf484ba7140f0756cfbddfe55be4e6fc1f650ca28

Observation e48a8f62-245f-4808-957a-94e3c99258b2 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Retinexformer: One-stage retinex- based transformer for low-light image enhancement

Reference 9

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 1a640c94-e6b6-44cb-9aad-6a9a43cf5f51 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Ultra-high-definition low-light image enhancement: A benchmark and transformer-based method

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 64003b35-e81f-4388-856f-433106b54075 · outbound

This paper cites Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

Reference 11

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:36.082204Z digest=sha256:6dba349ce586c51991e49aefbef0b1c434e12d71fd4f5f5c5014390ee3150793

Observation 6378301f-d126-4e0a-8446-f54671f503e8 · outbound

This paper cites SNR-aware low-light image enhancement.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration SNR-aware low-light image enhancement

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.087428Z digest=sha256:252a8aef7d0edf74b93264f30c233ddb19e9332bd43b7dddd2db6932809551c1

Observation b5d95322-c847-4463-92c9-dc94c19f83e3 · outbound

This paper cites LED- Net: Joint low-light enhancement and deblurring in the dark.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration LED- Net: Joint low-light enhancement and deblurring in the dark

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:39.492534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.092681Z digest=sha256:059d082860ae28b9fefce830a8847649baf7979298d3e41db0ec6ffd07d7d88d

Observation 3de5218e-1e71-4705-bc06-07b5544c6ad6 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Learning enriched features for real image restoration and enhancement

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.097473Z digest=sha256:9e06870337648f6a56ee71a651fe7196a1680448ea9b6b99f103168647c12f41

Observation f617807e-c1ec-465f-90e9-2974a724bdbd · outbound

This paper cites Pre-trained image processing transformer.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Pre-trained image processing transformer

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.102457Z digest=sha256:5fa9499e019e727916fb3e790e529351fd51a8ec5f12ad11c0b6bee1f036c18b

Observation da267f5c-1689-44ca-bfa5-45e1525f7c82 · outbound

This paper cites MambaIR: A simple baseline for im- age restoration with state-space model.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration MambaIR: A simple baseline for im- age restoration with state-space model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:36.107805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:36.107805Z digest=sha256:b60cc0a2235b9436f1608bb93816142a49a0c18374477ebd40b37b46cb3e5e1a

Observation 73ba9b5d-0c94-49d1-b2a4-f414a34b7d8c · outbound

This paper cites Uformer: A gen- eral u-shaped transformer for image restoration.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Uformer: A gen- eral u-shaped transformer for image restoration

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fa8d2c0e-8010-4f94-98b2-2538dae9633e · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration RWKV: Reinventing RNNs for the Transformer Era

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:36.118131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:36.118131Z digest=sha256:344d9a8537c1cb64827d8428d3257bf552f073e8c00f939dfad90ff9fa9006ab

Observation 38f2ef0b-618b-4ec7-9781-ad1871ac8ad4 · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 19

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:36.124002Z digest=sha256:8054a01302301c00887b5af6af0eafa3978f31e9298e73e1123eb4d7e19c27eb

Observation ab03f013-c2b7-4aa6-a310-6cd19de46963 · outbound

This paper cites Adaptive image contrast enhancement using generalizations of histogram equalization.IEEE Transac- tions on Image Processing, 9:889–896, 2000.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Adaptive image contrast enhancement using generalizations of histogram equalization.IEEE Transac- tions on Image Processing, 9:889–896, 2000

Reference 20

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 7d7676bf-0401-4c07-a9f1-7676d372d699 · outbound

This paper cites A dynamic his- togram equalization for image contrast enhancement.IEEE Transactions on Consumer Electronics, 53:593–600, 2007.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration A dynamic his- togram equalization for image contrast enhancement.IEEE Transactions on Consumer Electronics, 53:593–600, 2007

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T12:56:38.567410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.135371Z digest=sha256:0e2d322ad0a5be31815aa05311239034837794a1edfc1abd6ae246c5f43654bd

Observation fa592ed8-6042-48b4-838d-142a61b6513f · outbound

This paper cites Contextual and variational contrast enhancement.IEEE Transactions on Image Process- ing, 20:3431–3441, 2011.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Contextual and variational contrast enhancement.IEEE Transactions on Image Process- ing, 20:3431–3441, 2011

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T12:56:38.383957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.140338Z digest=sha256:5a760f0c5096fede499532f7784e1f75e18a25f8eac2cf1115344d68bd7c161c

Observation a66bb613-4b89-40ca-babf-8fd714dc5483 · outbound

This paper cites A probabilistic method for image enhancement with simultaneous illumination and re- flectance estimation.IEEE Transactions on Image Process- ing, 24:4965–4977, 2015.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration A probabilistic method for image enhancement with simultaneous illumination and re- flectance estimation.IEEE Transactions on Image Process- ing, 24:4965–4977, 2015

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:38.254877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.145105Z digest=sha256:c8761eea248e58647384541e8412c3e9b0a42be8aad2aea8c9e1d612465397e3

Observation 5999194e-686b-4aa3-880a-09e2fc28ac5a · outbound

This paper cites Structure-revealing low-light image en- hancement via robust retinex model.IEEE Transactions on Image Processing, 27:2828–2841, 2018.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Structure-revealing low-light image en- hancement via robust retinex model.IEEE Transactions on Image Processing, 27:2828–2841, 2018

Reference 24

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raw_fallback, observed 2026-08-07T12:56:38.130126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.150416Z digest=sha256:390d19195f8461c34c3959da81fe87f996bf4a147d23ee00fc41a249fd6bc07e

Observation 9d37df55-72af-45a2-9065-c7768576b8cc · outbound

This paper cites A multiscale retinex for bridging the gap between color images and the human observation of scenes.IEEE Transactions on Image processing, 6:965–976, 1997.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration A multiscale retinex for bridging the gap between color images and the human observation of scenes.IEEE Transactions on Image processing, 6:965–976, 1997

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T12:56:38.078033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.156462Z digest=sha256:de2f88f95c9b296c2a381266f9ba6f12040a4f796fad460a12111c3365466dfb

Observation 8f838fad-4d3b-4c6a-9b5e-1cddf72c26a3 · outbound

This paper cites FourLLIE: Boost- ing low-light image enhancement by fourier frequency infor- mation.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration FourLLIE: Boost- ing low-light image enhancement by fourier frequency infor- mation

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T12:56:37.922957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.161993Z digest=sha256:73033fe566fcf5cadc576af6cc3dd0198f867903176143be71adc7da50bdf6c8

Observation 8b5d14ca-4a5e-493c-8f78-bc13c86914bf · outbound

This paper cites Embedding fourier for ultra-high-definition low-light image enhancement.Proceedings of the International Conference on Learning Representations, 2023.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Embedding fourier for ultra-high-definition low-light image enhancement.Proceedings of the International Conference on Learning Representations, 2023

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T12:56:37.772892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6044fd77-02f4-430f-90ed-cc01f554ac53 · outbound

This paper cites Revitalizing convolutional network for image restoration.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Revitalizing convolutional network for image restoration

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:37.582133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.172442Z digest=sha256:114941e625d5fecae0fbfa8509506c8e4d01823eea1fcb4ceeff57f024b022b9

Observation 2b0d4440-529f-4c96-b13f-4a11f1e89ce1 · outbound

This paper cites SwinIR: Image restoration using swin transformer.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration SwinIR: Image restoration using swin transformer

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:37.410911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.177441Z digest=sha256:713a233ed4b42925b8c48108d4691bc75dba89b91c733a20b15e2c87a3212a5e

Observation c26f8517-a1f0-425e-b95f-c04238d72b2e · outbound

This paper cites Burstormer: Burst image restoration and enhancement transformer.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Burstormer: Burst image restoration and enhancement transformer

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:37.279088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.183562Z digest=sha256:b2b4d65af611de28b67c5824b5e10ebbf8fd26b0c428a8b55b3d729907733de4

Observation 160848eb-379e-4960-8e54-48dc8f24aea3 · outbound

This paper cites Fourmer: An efficient global modeling paradigm for image restoration.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Fourmer: An efficient global modeling paradigm for image restoration

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:37.201283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.188660Z digest=sha256:61f0021f74927ca9035d2f364d12d4b9a5914cdd8d588f2d8cd5ea1ea99b6e21

Observation 9d547e7b-4046-48c4-b01f-ddb420743444 · outbound

This paper cites Image restoration via frequency selection.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 46(2):1093–1108, 2024.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Image restoration via frequency selection.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 46(2):1093–1108, 2024

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:37.044078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.193611Z digest=sha256:dfd28cbf7b07795fbba293118efff00bd64328ecdc6ad5fe4d25bc803cb11364

Observation 6580b657-890a-478b-b91f-9e97a5f9c53c · outbound

This paper cites Changes in the objective amplitude of accommodation with pupil size.Optometry and Vision Science, 91(10):1215–1220, 2014.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Changes in the objective amplitude of accommodation with pupil size.Optometry and Vision Science, 91(10):1215–1220, 2014

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.889885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.198317Z digest=sha256:9a0e8a7f9a2d717739885240567b56e16cf2dbaf5832a15c73849d86d779c01b

Observation 5e390ef9-c72c-423b-812b-40306c9c7e0f · outbound

This paper cites Photoreceptor contributions to the human pupil light reflex.Journal of Photochemistry and Photobiology, 15:100178, 2023.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Photoreceptor contributions to the human pupil light reflex.Journal of Photochemistry and Photobiology, 15:100178, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.711445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.203231Z digest=sha256:0342f37de7117b9ea7ef8ec1a610e29558c2cfbdbdfffaa58550f5f6f729b023

Observation 52472d8f-a857-4a6f-a318-62c9329812b4 · outbound

This paper cites EnlightenGAN: Deep light enhancement without paired supervision.IEEE Transactions on Image Process- ing, 30:2340–2349, 2021.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration EnlightenGAN: Deep light enhancement without paired supervision.IEEE Transactions on Image Process- ing, 30:2340–2349, 2021

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.619663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.208549Z digest=sha256:2a647e0af407fe3f65b8a2ada518735596a0866e2fc8dda882cae7ba56d21995

Observation dca76389-1c7d-4bcc-8296-8dfd8bbaf804 · outbound

This paper cites UCTransNet: Rethinking the skip connections in U-Net from a channel-wise perspective with transformer.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration UCTransNet: Rethinking the skip connections in U-Net from a channel-wise perspective with transformer

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.589276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.213070Z digest=sha256:0f75d0ea79505b6a4577ddbcb9f396915458d0fb3b14a806943d8dfd605a04c7

Observation 8776c21d-3563-450b-b978-531039a149de · outbound

This paper cites Going deeper with convolutions.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Going deeper with convolutions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.564689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.217883Z digest=sha256:bf6c83123c51414fc4948b27676fffa854dbd7b16bdc54300b12049177c6514e

Observation d119d238-3fb6-4414-a875-250d6e83f423 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Adam: A Method for Stochastic Optimization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:36.222664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:36.222664Z digest=sha256:de5ce172bff4d2b6f98d913786ab0655670258407ca719e63c60d910524cacd6

Observation a9b0c361-1784-4c6b-be68-b59c9bf333f2 · outbound

This paper cites Scope of valid- ity of PSNR in image/video quality assessment.Electronics Letters, 44:800–801, 2008.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Scope of valid- ity of PSNR in image/video quality assessment.Electronics Letters, 44:800–801, 2008

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.537514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.228051Z digest=sha256:5eded528adeac07028295c3c1f7a869a438159982ffaac6f47792fc248fbf37f

Observation f1fa6907-b9b7-46fa-81e1-94f304624a69 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.507477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.232997Z digest=sha256:cac6de9391d0fa2a7c858b667111a3a50898164bf0554cd2bc3c1e67cc04a105

Observation 690df8e5-63c8-46e8-8c07-44b729550eac · outbound

This paper cites Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE Transactions on Image Processing, 30:2072–2086, 2021.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Sparse gradient regularized deep retinex network for robust low-light image enhancement.IEEE Transactions on Image Processing, 30:2072–2086, 2021

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:36.239383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:36.239383Z digest=sha256:915bcd1308ad7d443f0f08308496a6c3bec3ded454b312327ae4153af38141b2

Observation ca16c3e9-d9cf-4b61-bf21-8fa2fd9a3a74 · outbound

This paper cites Learning to see in the dark.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Learning to see in the dark

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.455388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.243898Z digest=sha256:0a214c82fa9435504e7e0d070ca75189d07e354431c504b0ad3b636c4bd2c016

Observation 2f4ad2ea-d7dd-4c62-8b13-1e8977e1bb67 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Seeing dynamic scene in the dark: A high- quality video dataset with mechatronic alignment

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.434177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.248701Z digest=sha256:3390759e6d3a9d601e45a6025bdff3f85cbe43f6c5cd834f982300db97fcff1f

Observation 77661e5b-77b0-4a74-8740-58c021863060 · outbound

This paper cites Learning photographic global tonal adjustment with a database of input/output image pairs.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Learning photographic global tonal adjustment with a database of input/output image pairs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.416269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.253389Z digest=sha256:9068f0280cc029fc369e9e81838a4681ed7365947c8714fc6ef7be6bb14cbad6

Observation b6218aed-9138-4cec-976a-f7f4c39dbf91 · outbound

This paper cites Learning with nested scene modeling and co- operative architecture search for low-light vision.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:5953–5969, 2022.

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration Learning with nested scene modeling and co- operative architecture search for low-light vision.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:5953–5969, 2022

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.399025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.259403Z digest=sha256:d6a3f1d3b29b1e1517762c7f23ec48bdc3d3b732957971cec372337b4619da43

Observation 286e5428-9fc8-4b1e-a23d-239b8978f606 · outbound

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

URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration GLARE: Low light image enhancement via generative latent feature based codebook retrieval

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:56:36.380644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:56:36.265147Z digest=sha256:ed7fb568c955e3da6e22885d6c0a735f18cfa3cd40269805c1b8b9400091f102

Pith citing papers

No inbound Pith citation observations are available.