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Paper Citation Record · LEDGER

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2504.17829.

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

pith.paper-citation-record.v1
2504.17829 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:30.549963Z

measured 22 of 22 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

22 of 22 outbound references displayed

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External citation measurements

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Outbound references

Observation 4570f303-6133-4ab5-b75f-73eb94e89056 · outbound

This paper cites Vision and the atmosphere,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vision and the atmosphere,

Reference 1

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Observation 33d66b77-e5d2-45b1-a044-5f34b9f50878 · outbound

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

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Single image haze removal using dark channel prior,

Reference 2

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Observation 52ce130c-2c12-458d-ac87-afa6f4ad7c83 · outbound

This paper cites Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for image dehazing,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for image dehazing,

Reference 3

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Observation 7a55fb3d-b583-4067-8d77-215169ef56e7 · outbound

This paper cites Vision transformers for single image dehazing,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vision transformers for single image dehazing,

Reference 4

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Observation e3d9ab05-d7fd-45fd-aa15-96fba8b4627e · outbound

This paper cites FFA-Net: Feature fusion attention network for single image dehazing,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing FFA-Net: Feature fusion attention network for single image dehazing,

Reference 5

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Observation 5c0c8117-5605-4831-9fd0-291930d79f03 · outbound

This paper cites Dehaze- AGGAN: Unpaired remote sensing image dehazing using en- hanced attention-guide generative adversarial networks,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Dehaze- AGGAN: Unpaired remote sensing image dehazing using en- hanced attention-guide generative adversarial networks,

Reference 6

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Observation 2c81c540-415e-4f07-b296-ad1d19936543 · outbound

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

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Benchmarking single-image dehazing and beyond,

Reference 7

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Observation 519f1c2e-af8d-4979-951b-5c7641fee2c8 · outbound

This paper cites Atmospheric light estimation based remote sensing image dehazing,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Atmospheric light estimation based remote sensing image dehazing,

Reference 8

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Observation 2033ba9a-7de5-4339-a590-7910660ce016 · outbound

This paper cites HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes

Reference 9

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Observation c2913fff-5b6a-4ef5-aa9c-43e8a50c198e · outbound

This paper cites Adaptive image dehazing and object tracking in UA V videos based on the template updating siamese network,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Adaptive image dehazing and object tracking in UA V videos based on the template updating siamese network,

Reference 10

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Observation 235bc09e-bda6-44d6-9111-ab1b4eb1bf04 · outbound

This paper cites Towards evaluating the robustness of neural networks,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Towards evaluating the robustness of neural networks,

Reference 11

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Observation bd819b7e-709e-4a2a-b2ac-511a5ec87586 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Towards deep learning models resistant to adversarial attacks,

Reference 12

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Observation 3d350d39-b934-4add-9bae-8e16c2682932 · outbound

This paper cites Certified adversarial robustness via randomized smoothing,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Certified adversarial robustness via randomized smoothing,

Reference 13

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Observation 8de1f5c5-b9c5-4288-b226-1c23b530e259 · outbound

This paper cites ABBA neural networks: Coping with positivity, expressivity, and robustness,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing ABBA neural networks: Coping with positivity, expressivity, and robustness,

Reference 14

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Observation 2d9082ab-551f-4975-a286-cb3504dcbccb · outbound

This paper cites Fool- ing the image dehazing models by first order gradient,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Fool- ing the image dehazing models by first order gradient,

Reference 15

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Observation f180d251-fba2-4e49-ad74-8fefbda66f56 · outbound

This paper cites One pixel attack for fooling deep neural networks,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing One pixel attack for fooling deep neural networks,

Reference 16

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Observation d89262bc-1b9b-43a8-aea8-3a153402ecf3 · outbound

This paper cites Achieving robustness in classi- fication using optimal transport with hinge regularization,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Achieving robustness in classi- fication using optimal transport with hinge regularization,

Reference 17

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Observation 901bfda0-6c4b-4793-8f22-01dff14bbf6c · outbound

This paper cites Theoretically principled trade-off between robustness and accuracy,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Theoretically principled trade-off between robustness and accuracy,

Reference 18

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Observation b8e5d1eb-102a-4f86-a56a-e7b7ac941dac · outbound

This paper cites Training robust neural networks using Lipschitz bounds,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Training robust neural networks using Lipschitz bounds,

Reference 19

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Observation 41b9dc3e-750a-46fb-b9f0-1b94f9d5f7b0 · outbound

This paper cites Improved regularization and robustness for fine-tuning in neural networks,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Improved regularization and robustness for fine-tuning in neural networks,

Reference 20

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Observation 179077fc-278b-4fd6-a0fe-bcc72ca53ef7 · outbound

This paper cites Difffit: Unlocking transferability of large diffusion models via simple parameter-efficient fine-tuning,.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Difffit: Unlocking transferability of large diffusion models via simple parameter-efficient fine-tuning,

Reference 21

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Observation 79a7cc6b-6856-4a29-ab14-cffa800dc746 · outbound

This paper cites A Remote Sensing Image Dataset for Cloud Removal.

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing A Remote Sensing Image Dataset for Cloud Removal

Reference 22

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Pith citing papers

No inbound Pith citation observations are available.