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Paper Citation Record · LEDGER

Unpaired Image Dehazing via Kolmogorov-Arnold Transformation of Latent Features

As of 11 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.

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

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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Source-reported events for the cited work

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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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

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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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Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.025085Z digest=sha256:a7bf47d85715eb9c3919adda472a90c9e922eb8971d7b6a8b5243d5723b29848

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.028869Z digest=sha256:90f730e96ecda97074f8ca054bb0868169c4eb0ff819b4f048e20ef4510b2fcb

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:dffeccf91d0df1e146f83c8df2d9bb452deed84103dc3e25466ba17e6d409386

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=sha256:5f82340a57919fc39ed6610939adff9802df0180e8efe76a5a3b86de50f570d8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.038716Z digest=sha256:43ea11f54d1ddd7333c9c812dd85ef5afb76ad57e5954f963129a184d5c48e23

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.041774Z digest=sha256:9226a823b2a31123fbfcfc60d55d7b980c7b5d95fcd203caa132133ff3234925

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:bbfe3da7e70c9c00dde9076f86288361c5a2ae1946527e3dcfaf169fe672363e

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=sha256:3976310297f3656f61e691b9db7072b1dcbc7cf18c5ad8a7be94e5eccf5597d6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.051320Z digest=sha256:1f19f40dffd5e82dcd7ed5bcd83ee518e2a2edb2ae1a9b8566122bc859fcb7d4

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=sha256:71806235bcc7b2bc1766085d35e8b619ed36d27ee5282a2a34e1d542d8cf46c2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.057947Z digest=sha256:dbcf3354e643c4327f43a44ff7277f0329bef28ea9412449695e000e631449c1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.061225Z digest=sha256:eae8cd71bddcdfdbaaf45b43b2abe56e51807955d35e86868c6d75d7aa0e6d75

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.064283Z digest=sha256:844f5f6008f5e49f447fc28ffbaa2029114357d2afdee71be73704fa3ec4a0ee

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.067788Z digest=sha256:2dba2d590b97398d81981589d5ce53d42d4a7e738ab34cf43650e3b5928c21a5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.071133Z digest=sha256:e6f742c2d966c992bc0aa73ddbb9d63fae7b1b5c94e96273c225779849d7134d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.074275Z digest=sha256:2dc1ad3a18892e93a6d04fa92b21a2a650f568f9d2f8bfc99774f8fa08654410

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.077491Z digest=sha256:288c25a72ffe6c9a2dba27cc8cda01b821802a323848358e9d805fdec9342d3d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T18:57:20.080985Z digest=sha256:6b107cbb2a3d9b26bccdc1465deed218d0b0b78373aafae8693d0f554860b738

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=sha256:64476f7433990ae0221b865e81979e7fc40604c3ad367a7020a9bbba04a88ef4

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=sha256:36250af3617ed2ab3097630f62523d79662f76710c22566ed399aabe605d90d0

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:fddf8254486547f9ff25e77222d6aefdb78122c6fb760e68d808d078f5da20c9

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:f1df3e85cc2ce497fadec0112602991a856705d239f5713a2d67169473073da6

Pith citing papers

No inbound Pith citation observations are available.