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Paper Citation Record · LEDGER

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.07812.

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

pith.paper-citation-record.v1
2502.07812 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

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measured 56 of 56 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation 63959f17-4885-4f55-836f-641c0018a2d4 · outbound

This paper cites Robust u-net-based road lane markings detection for autonomous driving,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Robust u-net-based road lane markings detection for autonomous driving,

Reference 1

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Observation 97305e2b-2da2-4809-98fa-e950abe7883b · outbound

This paper cites Toward improving robustness of object detectors against domain shift,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Toward improving robustness of object detectors against domain shift,

Reference 2

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Observation fab5b2de-144e-43b6-8c5b-b93650433997 · outbound

This paper cites Single image haze removal using dark channel prior,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Single image haze removal using dark channel prior,

Reference 3

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Observation 3d30789d-56f6-4a4c-823a-18d7436fc986 · outbound

This paper cites A fast single image haze removal algorithm using color attenuation prior,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features A fast single image haze removal algorithm using color attenuation prior,

Reference 4

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Observation 9b018e16-7e78-43fa-8e54-403fe96cf599 · outbound

This paper cites Efficient image dehazing with boundary constraint and contextual regularization,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Efficient image dehazing with boundary constraint and contextual regularization,

Reference 5

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Observation fa38ec48-886e-4aa9-a63c-49a89286c6ed · outbound

This paper cites Contrastive learning for compact single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Contrastive learning for compact single image dehazing,

Reference 6

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Observation 553abe64-de28-49cb-9a21-c9cac1809193 · outbound

This paper cites Refinednet: A weakly supervised refinement framework for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Refinednet: A weakly supervised refinement framework for single image dehazing,

Reference 7

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Source-reported events for the cited work

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Observation 8a9b6868-90ea-4afe-a364-91b6bbb46727 · outbound

This paper cites A novel encoder-decoder network with guided transmission map for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features A novel encoder-decoder network with guided transmission map for single image dehazing,

Reference 8

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Observation 5fe40fe6-78f1-4d7b-add2-547055bed45b · outbound

This paper cites Psd: Principled synthetic-to-real dehazing guided by physical priors,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Psd: Principled synthetic-to-real dehazing guided by physical priors,

Reference 9

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Observation 768d7f74-71f0-41c0-8fe9-f6ec338649b4 · outbound

This paper cites Hdud-net: heterogeneous decoupling unsupervised dehaze network,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Hdud-net: heterogeneous decoupling unsupervised dehaze network,

Reference 10

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Observation 0c4ca4c0-3b9e-42e8-8447-711b9e7b45d9 · outbound

This paper cites Ucl-dehaze: Towards real-world image dehazing via unsu- pervised contrastive learning,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Ucl-dehaze: Towards real-world image dehazing via unsu- pervised contrastive learning,

Reference 11

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Observation d5466e8a-fd8d-484b-954c-678f4543c9e5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation e1ca1de2-35e5-4e35-889a-3fc8a269bd48 · outbound

This paper cites Vision transformers for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Vision transformers for single image dehazing,

Reference 13

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Observation 01fc4760-fa52-45e2-8696-e79419cd6cc7 · outbound

This paper cites Distilled pooling transformer encoder for efficient realistic image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Distilled pooling transformer encoder for efficient realistic image dehazing,

Reference 14

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Observation 8351766b-3aaa-467a-803c-13218431ac35 · outbound

This paper cites Kolmogorov-Arnold Transformer.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Kolmogorov-Arnold Transformer

Reference 15

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Observation 21bdd161-5964-4c2c-b6c7-1aba0c4161d9 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features KAN: Kolmogorov-Arnold Networks

Reference 16

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Observation 4f0a5013-47cd-49a6-a3df-7dd56d9015d4 · outbound

This paper cites The kolmogorov–arnold representation theorem revisited,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features The kolmogorov–arnold representation theorem revisited,

Reference 17

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Observation 56ce2309-0388-44d9-9527-587c942c5bb3 · outbound

This paper cites Unsupervised cross-domain image generation,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Unsupervised cross-domain image generation,

Reference 18

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Observation ebdfd987-bfd7-4991-a12b-63170dcdfdfb · outbound

This paper cites Contrastive learning for unpaired image-to-image translation,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Contrastive learning for unpaired image-to-image translation,

Reference 19

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Observation 1a828753-6b53-4ac7-ac2a-2fbd822c3ec4 · outbound

This paper cites Non-local image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Non-local image dehazing,

Reference 20

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Source-reported events for the cited work

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Observation b9431779-cb05-4de6-9ab1-6e1d41765600 · outbound

This paper cites Single image dehazing via regional saturation-value translation,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Single image dehazing via regional saturation-value translation,

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 11dfd87d-bb12-4bca-ba49-816624b91e8d · outbound

This paper cites Dehazenet: An end-to-end system for single image haze removal,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Dehazenet: An end-to-end system for single image haze removal,

Reference 22

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Observation ea3a9195-a3e9-4be9-9c67-b55b091facfb · outbound

This paper cites Single image dehazing via multi-scale convolutional neural networks,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Single image dehazing via multi-scale convolutional neural networks,

Reference 23

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Observation 00452546-b8d2-46cb-a288-ec54a2bef3b2 · outbound

This paper cites Densely connected pyramid dehazing network,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Densely connected pyramid dehazing network,

Reference 24

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Observation 22f09aaa-c9bc-4de3-bce9-99669d2e8b61 · outbound

This paper cites Ffa-net: Feature fusion attention network for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Ffa-net: Feature fusion attention network for single image dehazing,

Reference 25

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Observation eea7b8ae-f003-4f76-a035-23a3378e570d · outbound

This paper cites Fd-gan: Generative adversarial networks with fusion-discriminator for single image dehaz- ing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Fd-gan: Generative adversarial networks with fusion-discriminator for single image dehaz- ing,

Reference 26

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Source-reported events for the cited work

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Observation b65376a2-0031-434c-883c-7e30d8ac4f6f · outbound

This paper cites Encoder-decoder networks with guided transmission map for effective image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Encoder-decoder networks with guided transmission map for effective image dehazing,

Reference 27

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Source-reported events for the cited work

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Observation 92ef62e7-4541-4bfe-b01b-bfb02a981171 · outbound

This paper cites Distilling image dehazing with heterogeneous task imitation,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Distilling image dehazing with heterogeneous task imitation,

Reference 28

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation da03e27e-91f6-4360-b275-666ac4323a57 · outbound

This paper cites Lightweight image dehazing networks based on soft knowledge distillation,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Lightweight image dehazing networks based on soft knowledge distillation,

Reference 29

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Observation 68b17b03-2da3-4a6c-ac60-0d916c1153e4 · outbound

This paper cites Semi- supervised image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Semi- supervised image dehazing,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3291a688-338f-42f5-ac39-8047883c4d5e · outbound

This paper cites Semi-supervised image dehazing network,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Semi-supervised image dehazing network,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation baaf3e99-870f-4d8e-9324-7319877461e8 · outbound

This paper cites Cycle-dehaze: Enhanced cyclegan for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Cycle-dehaze: Enhanced cyclegan for single image dehazing,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9a7283e3-f181-4f51-a7e9-fb871ad12a8b · outbound

This paper cites You only look yourself: Unsupervised and untrained single image dehazing neural network,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features You only look yourself: Unsupervised and untrained single image dehazing neural network,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b3c8907f-b598-4840-b522-5217510a7c01 · outbound

This paper cites Metaformer is actually what you need for vision,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Metaformer is actually what you need for vision,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7e5558a4-2f31-4cd1-a4e1-348f16ccc6f0 · outbound

This paper cites Image dehazing transformer with transmission-aware 3d position embedding,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Image dehazing transformer with transmission-aware 3d position embedding,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.340568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.025085Z digest=sha256:0cceaa98b475336492d9a292e6f06fdc241d4dbf87ac99d3885a5fa827275bfe

Observation 58e7e270-bed7-40fe-bcb3-5e99710bffa2 · outbound

This paper cites Uscformer: Unified trans- former with semantically contrastive learning for image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Uscformer: Unified trans- former with semantically contrastive learning for image dehazing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.329899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.028869Z digest=sha256:3c119c04ff62c4baf1d76bd5ffbcc9de151a0a0a11526ffe1ff77d50acf70acd

Observation 1e7846e1-5b5d-4ae4-bd0d-0af2cb8bc938 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.031929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.031929Z digest=sha256:d75d2c94cdf8d3d35b4b9ea15f44ecbe5b77d696d7e840738c77aab493f3d081

Observation 089c309d-0bb0-4910-b3ec-ee70fcf21ef1 · outbound

This paper cites The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.035060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.035060Z digest=sha256:268d398692886a4d280cd659d3c9500d29d40b71834796aec70b58a0fa15bfbe

Observation bf27c5bd-f13f-47c0-beb3-0ff0fc4ee1ca · outbound

This paper cites Vision-kan: Exploring the possi- bility of kan replacing mlp in vision transformer,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Vision-kan: Exploring the possi- bility of kan replacing mlp in vision transformer,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.312030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.038716Z digest=sha256:319510b335b74bfec833c04bedc2abf5078cfd896684f3b2274af7a8842213f3

Observation 674090a1-5623-4161-b476-e1c40748a721 · outbound

This paper cites Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Sckansformer: Fine-grained classification of bone marrow cells via kansformer backbone and hierarchical attention mechanisms,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.301792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.041774Z digest=sha256:5f980391a900b320e1c302919088eed353e0ffc573a350d8940e5a4d3d710003

Observation db3f7a9a-8ce5-49e1-b413-08590481fbed · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Perceptual losses for real-time style transfer and super-resolution,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.044994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.044994Z digest=sha256:b0436885ccade084a0fbe88a6ee43d97806e401270daa0b1b3e6489b5ad1b2cd

Observation 4883aaf3-797e-4ac7-b9a6-039bd04462c9 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.048161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.048161Z digest=sha256:6264e7eba381c93c0911e5f0d664fbec6183a3f607e6c6ab82d5a2fa50c1c437

Observation c6e561c5-b067-4ec2-a8aa-5ca4fd9c31a8 · outbound

This paper cites Improving con- volutional networks with self-calibrated convolutions,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Improving con- volutional networks with self-calibrated convolutions,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.278834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.051320Z digest=sha256:f969f2b9d9f3ddc8137a977a5c2744b9c08c480468c835ff23165cad8eea8089

Observation 49b8b321-a2d1-4029-a086-68b5ea980d83 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Image-to-image translation with conditional adversarial networks,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.054792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.054792Z digest=sha256:75b71550bd00f150323a10dea758886dcf0d3c3853b165a27cb16bed1b302615

Observation 68700884-0ead-4fec-9356-fa35b52387df · outbound

This paper cites Real-world image dehazing with improved joint en- hancement and exposure fusion,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Real-world image dehazing with improved joint en- hancement and exposure fusion,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.262567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.057947Z digest=sha256:3e544fd15ea46879f279ddf16ca9ffe8f985b51636f63de68e8a93671d036754

Observation 298c1260-bb58-4757-a5c6-ff4d475fbe1d · outbound

This paper cites Zero-shot image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Zero-shot image dehazing,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.252084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.061225Z digest=sha256:c3d1120ab85d08d87daf223afce44648a2613feb7326d60b7d006c23cefc91cc

Observation 146b2f56-a29a-4077-a8f9-592db41b0b72 · outbound

This paper cites Usid-net: Unsupervised single image dehazing network via disentangled representations,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Usid-net: Unsupervised single image dehazing network via disentangled representations,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.241434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.064283Z digest=sha256:20fda567857da7a542f429d46f2ec2a1bd995e53d7b32c87743bfb8425bcdf7c

Observation 586161c3-b9ba-4df1-ab08-e9cf5806586b · outbound

This paper cites Haze transfer and feature aggregation network for real-world single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Haze transfer and feature aggregation network for real-world single image dehazing,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.230680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.067788Z digest=sha256:bcbf0d96285c6bdbaddd9558ec7521aa9e9bf6735f41a453c10343b3415e6346

Observation 628b94e7-89df-4c02-9f81-b34b485b2ae1 · outbound

This paper cites Semi-supervised do- main alignment learning for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Semi-supervised do- main alignment learning for single image dehazing,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.219773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.071133Z digest=sha256:a338d49f4ec4fc0aded6b77a3fc6af31a28abd32e9fe29468cfc6efd52692b69

Observation d2ccc5e2-6258-483a-8ab1-413985d7b59e · outbound

This paper cites Visual- quality-driven unsupervised image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Visual- quality-driven unsupervised image dehazing,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.209848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.074275Z digest=sha256:efeaa7803312879485b1d112622992528fe019b67a412e15707194fa614c177d

Observation 442ebcd5-9e36-425e-9226-297bda1b5405 · outbound

This paper cites Self-guided disentangled represen- tation learning for single image dehazing,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Self-guided disentangled represen- tation learning for single image dehazing,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.199581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.077491Z digest=sha256:5e7ffed04c2864d6884608e6a8d664e198c7dba3278a8bfc2e45b79f584298c1

Observation 53d6dcec-5d53-4514-800d-ea29e923474f · outbound

This paper cites Least squares generative adversarial networks,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Least squares generative adversarial networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:57:20.189413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T18:57:20.080985Z digest=sha256:492b7efa993d128dc0526031a611c5f14e0a2a326e64f6e81dfd65de134820d8

Observation 62fe2a27-a844-419d-bfee-13ab09d7ac92 · outbound

This paper cites Benchmarking single-image dehazing and beyond,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Benchmarking single-image dehazing and beyond,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.084143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.084143Z digest=sha256:095c31fc61f8606e55cc263686c6c350afaff01d83fed156bbefa583fa3f9116

Observation c921f8ce-f1fb-4ccb-9212-5960d94a9f3b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Adam: A Method for Stochastic Optimization

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.087233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.087233Z digest=sha256:703f63c606dcf5ff82736bdf2080c0462739d70bd4715bee94e6d366896e13fc

Observation 0f762e59-bae4-4080-bff8-6b918e746246 · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models,.

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Rectifier nonlinearities improve neural network acoustic models,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.090764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.090764Z digest=sha256:c0c50abe8387ae104f53c71bc2270452ce260f33e6524afd62fb80c4a2aefa69

Observation b6d4a8f4-a706-4552-811d-e49ad0ef6822 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features Gaussian Error Linear Units (GELUs)

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T18:57:20.094048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:57:20.094048Z digest=sha256:675a565410e324e95f8b1d9329379322e00fab39563f51a4763ace7a01bb7667

Pith citing papers

No inbound Pith citation observations are available.