Paper Citation Record · LEDGER

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation

As of 4 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2603.28463.

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

pith.paper-citation-record.v1
2603.28463 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:35:12.488830Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

37 of 37 outbound references displayed

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verified fuzzy35
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43929edb-3f65-42d2-a8ee-5e69932f45bc · outbound

This paper cites Fundus imaging-based healthcare: Present and future.ACM Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Fundus imaging-based healthcare: Present and future.ACM Trans

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.480834Z

Source-reported events for the cited work

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Observation 582107ca-ee0c-405e-9340-b1d52eea1408 · outbound

This paper cites an unresolved cited work.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-14T23:29:38.484851Z

Source-reported events for the cited work

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Observation d567dc6e-b59c-4818-b6fb-c5b9ed92df92 · outbound

This paper cites FunOTTA: On-the-fly adaptation on cross-domain fundus image via stable test-time training.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation FunOTTA: On-the-fly adaptation on cross-domain fundus image via stable test-time training.IEEE Trans

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.384905Z

Source-reported events for the cited work

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Observation bbee6d23-9390-4ff6-a2af-0dfbeb6a234e · outbound

This paper cites Hierarchy-aware and knowledge-guided learning for multi-label classification of retinal diseases from fundus images.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Hierarchy-aware and knowledge-guided learning for multi-label classification of retinal diseases from fundus images.IEEE Trans

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.493548Z

Source-reported events for the cited work

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Observation 81d57343-947d-4098-afbf-4efbd7a52816 · outbound

This paper cites Domain adaptation for medical image analysis: A survey.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Domain adaptation for medical image analysis: A survey.IEEE Trans

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.389357Z

Source-reported events for the cited work

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Observation 8dbc29d9-4297-4dea-be57-2e1100ff770b · outbound

This paper cites FedCA: Federated domain generalization for medical image segmentation via cross-client feature style transfer and adaptive style alignment.Exp.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation FedCA: Federated domain generalization for medical image segmentation via cross-client feature style transfer and adaptive style alignment.Exp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.410369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8790925f-40e0-4806-8325-8bfb44cdb2ea · outbound

This paper cites Domain generalization for medical image analysis: A review.Proc.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Domain generalization for medical image analysis: A review.Proc

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.472976Z

Source-reported events for the cited work

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Observation d184596b-c3c2-4f84-ad88-099e5e6a871d · outbound

This paper cites Treasure in distribution: A domain randomization based multi-source domain generalization for 2d medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Treasure in distribution: A domain randomization based multi-source domain generalization for 2d medical image segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.516059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2bb4b188-12be-4e1e-97ef-959a6c59910f · outbound

This paper cites Integrated domain augmentation and structural content reconstruction based multi- source domain generalization on medical image segmentation.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Integrated domain augmentation and structural content reconstruction based multi- source domain generalization on medical image segmentation.IEEE Trans

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.386833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3551a2d6-638d-4ed9-8d24-b80051de70ed · outbound

This paper cites Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation.IEEE Trans

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.417921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dec84326-7e41-42b7-aa0a-f390973d5262 · outbound

This paper cites Causality-inspired single-source domain generalization for medical image segmentation.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Causality-inspired single-source domain generalization for medical image segmentation.IEEE Trans

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.511296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7474ed01-b8d7-4150-8aa2-4f60d784a4da · outbound

This paper cites Rethinking data augmentation for single-source domain generalization in medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Rethinking data augmentation for single-source domain generalization in medical image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.393698Z

Source-reported events for the cited work

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Observation fa333f06-a077-45f6-bba7-1ecd2a735c05 · outbound

This paper cites ADA: An adaptive augmentation framework for single-source domain generalization in medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation ADA: An adaptive augmentation framework for single-source domain generalization in medical image segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.405747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bdea8ebe-cb6b-429a-88c0-6201e92c0b2f · outbound

This paper cites Teacher-student instance-level adversarial augmentation for single domain generalized medical image segmentation.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Teacher-student instance-level adversarial augmentation for single domain generalized medical image segmentation.IEEE Trans

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.458753Z

Source-reported events for the cited work

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Observation 9c05d9d4-e892-4005-a3ba-1df34cd2e064 · outbound

This paper cites A hybrid dual-augmentation constraint framework for single-source domain generalization in medical image segmentation.Pattern Recognition, 170:112082.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation A hybrid dual-augmentation constraint framework for single-source domain generalization in medical image segmentation.Pattern Recognition, 170:112082

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.462819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30989fef-3844-4fad-bddd-78ed0920e094 · outbound

This paper cites Devil is in channels: Contrastive single domain generalization for medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Devil is in channels: Contrastive single domain generalization for medical image segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.422955Z

Source-reported events for the cited work

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Observation b873f042-ce7c-4526-a104-a9460ca8143f · outbound

This paper cites Structure-aware single-source generalization with pixel-level disentanglement for joint optic disc and cup segmentation.Biomed.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Structure-aware single-source generalization with pixel-level disentanglement for joint optic disc and cup segmentation.Biomed

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.400645Z

Source-reported events for the cited work

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Observation 0cbccdce-3e96-4b94-b837-7db2d125bad3 · outbound

This paper cites MaxStyle: Adversarial style composition for robust medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation MaxStyle: Adversarial style composition for robust medical image segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.476335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18de7504-1d30-4dc8-ab98-c8347e8cf234 · outbound

This paper cites Adversarial consistency for single domain generalization in medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Adversarial consistency for single domain generalization in medical image segmentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.416775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 882ccf07-8bee-4761-b049-fec5130db352 · outbound

This paper cites MixStyleFlow: Domain generalization in medical image segmentation using normalizing flows.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation MixStyleFlow: Domain generalization in medical image segmentation using normalizing flows

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.472009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 146a15da-86cb-48b1-b34e-cf12e89166f0 · outbound

This paper cites Train once, deploy anywhere: Edge-guided single-source domain generalization for medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Train once, deploy anywhere: Edge-guided single-source domain generalization for medical image segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.451538Z

Source-reported events for the cited work

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Observation ac98f2e5-d55d-4d0d-a8c6-53f2efd79833 · outbound

This paper cites Boundary loss for highly unbalanced segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Boundary loss for highly unbalanced segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.420027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 081d889d-50d2-475c-b503-27ab443cdcd8 · outbound

This paper cites Frequency-mixed single-source domain generalization for medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Frequency-mixed single-source domain generalization for medical image segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.423302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d28984b1-6edb-4c70-9244-7dc0c9f2a3aa · outbound

This paper cites Medical image segmentation via single-source domain generalization with random amplitude spectrum synthesis.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Medical image segmentation via single-source domain generalization with random amplitude spectrum synthesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.431938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 781cda96-a248-4e8f-a6a3-0786352a9573 · outbound

This paper cites MoreStyle: Relax low-frequency constraint of Fourier-based image recon- struction in generalizable medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation MoreStyle: Relax low-frequency constraint of Fourier-based image recon- struction in generalizable medical image segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.427393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7351cc3-6d4d-4f1d-9315-96512a6a561e · outbound

This paper cites Wavelet convolutions for large receptive fields.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Wavelet convolutions for large receptive fields

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.436087Z

Source-reported events for the cited work

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Observation 244dc54d-b559-40bb-86e1-4f5cff684830 · outbound

This paper cites UWT-Net: Mining low-frequency feature information for medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation UWT-Net: Mining low-frequency feature information for medical image segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.445977Z

Source-reported events for the cited work

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Observation 3ce803cf-73f2-40f8-8ab3-f9d38004ba42 · outbound

This paper cites Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.413448Z

Source-reported events for the cited work

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Observation 93be5817-7e27-4348-bf69-0e61a83233b8 · outbound

This paper cites Learning frequency adaptation for cross-domain medical image segmentation.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Learning frequency adaptation for cross-domain medical image segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.401606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 074ecc26-8881-4011-9d52-39c6efffb70d · outbound

This paper cites Ronneberger, P.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Ronneberger, P

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.477356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f77533fb-94f7-40b2-92e0-28adc1b27f5e · outbound

This paper cites an unresolved cited work.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-14T23:33:17.468493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 293c480c-3d5d-4480-adb2-ca19d8ff6215 · outbound

This paper cites Sivaswamy, SR Krishnadas, et al.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Sivaswamy, SR Krishnadas, et al

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:33:17.397620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22c19f6f-2436-4a88-b8f7-a875ebed25fa · outbound

This paper cites Gamma challenge: Glaucoma grading from multi-modality images.Med.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Gamma challenge: Glaucoma grading from multi-modality images.Med

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.506508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 602b98c9-8227-490f-8173-01c9fb8fa04e · outbound

This paper cites Seelamantula, et al.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Seelamantula, et al

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.501670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc85d45e-f0a5-4c3a-ae16-f45f43f5e58f · outbound

This paper cites Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.395782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca7a5d99-0aac-4400-90f0-4e624703737d · outbound

This paper cites Deep Residual learning for image recognition.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Deep Residual learning for image recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.497978Z

Source-reported events for the cited work

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Observation aa6d62fe-4ccc-43c6-a39a-ad9535f89d7f · outbound

This paper cites Evolutionary Generative Adversarial Networks.IEEE Trans.

Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation Evolutionary Generative Adversarial Networks.IEEE Trans

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:29:38.404759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.