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Paper Citation Record · LEDGER

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.09927.

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

pith.paper-citation-record.v1
2505.09927 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:26:17.913590Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91431667-a4df-4078-a2bf-38cff4354bcd · outbound

This paper cites Source-free domain adaptation for image segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Source-free domain adaptation for image segmentation

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T21:26:19.056398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6013b7e5-f6d4-4a05-b2e8-7257e27d676a · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0e50594f-ff92-4c8f-bba6-43df3832d8c5 · outbound

This paper cites Unsupervised bidirectional cross-modality adaptation via deeply synergistic image and feature alignment for medical image segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unsupervised bidirectional cross-modality adaptation via deeply synergistic image and feature alignment for medical image segmentation

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e83ec314-8914-4c11-9fa6-1137a69753a9 · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.697983Z digest=sha256:63158d741b8c2403a7d518cad6208f44df37a7580533c979d631513b2e7b83d9

Observation c6d1e165-997e-4114-94b9-78ee3e0e0575 · outbound

This paper cites Domain adaptation in computer vision applications.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Domain adaptation in computer vision applications

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.703694Z digest=sha256:81bad0e6ad5eb886daebfe0fcf628fce0bac347eedbfde360766dd74cbd631a9

Observation 14f29ea4-e386-4758-9ac2-8945de3c4f2d · outbound

This paper cites Pnp-adanet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Pnp-adanet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.709098Z digest=sha256:1a4221e75f1a601980e3cabbfba8a4fc3228bc490772150d1a270f6a0370ca86

Observation 6342b719-5ac8-41d6-8873-078880dafd48 · outbound

This paper cites Visual Prompt Tuning for Test-time Domain Adaptation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Visual Prompt Tuning for Test-time Domain Adaptation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.714727Z digest=sha256:726b7079d844a5f392576e235ec715f0af93dec4d038e1c31fa4e6dbd07ec669

Observation 067ad8d8-892e-4923-a877-aed9d098e16f · outbound

This paper cites Progressive transferlearningandadversarialdomainadaptationforcross-domain skin disease classification.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Progressive transferlearningandadversarialdomainadaptationforcross-domain skin disease classification

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.719923Z digest=sha256:66902e1e135e51faca2e9d6c5e62da1d54751b2d4928d96ce82133a1e593ad84

Observation 42e0fbc6-7b42-4f15-8092-4a0b818b9dff · outbound

This paper cites Mcdcd: Multi-source unsuper- vised domain adaptation for abnormal human gait detection.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Mcdcd: Multi-source unsuper- vised domain adaptation for abnormal human gait detection

Reference 9

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source=pdf_text observed=2026-08-15T21:26:17.724540Z digest=sha256:1f83c45f0bfe94caa8db5cd0661d26c081d3afe6fe4a5d69d00fc93659527b14

Observation dc73e723-d05a-41e3-b851-8b62ceb4b4e2 · outbound

This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 10

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source=pdf_text observed=2026-08-15T21:26:17.729142Z digest=sha256:15c442b02f709bd32214f8132a906bc0f7c4bcac78c44b6bb30aa4c7ad635758

Observation 889e42be-886b-4c42-b094-8397d2cedef7 · outbound

This paper cites Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ seg- mentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ seg- mentation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.733932Z digest=sha256:146651e0ac563483e3aaa459b617eb6a245e0664dca8d158100c8c92254035bd

Observation 025f0334-baaa-4282-97f7-bc43977f036d · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.738929Z digest=sha256:c365fe76bd58c48b122a4c5872c0c36cccef6e25c94ca7959b46229b0290bc50

Observation de195481-2916-4ea3-a90f-a8df481e09a1 · outbound

This paper cites ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation

Reference 13

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source=pdf_text observed=2026-08-15T21:26:17.743589Z digest=sha256:8c7b4481c356b9645df9574ff6beb6afea8a7ac60ae7a65a8fe584828aec83f9

Observation 8d176e79-e8b8-4300-8fa9-8733d8d22eb0 · outbound

This paper cites Fsdr: Frequency space domain randomization for domain generalization, in: Proceedings of theIEEE/CVFConferenceonComputerVisionandPatternRecogni- tion, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Fsdr: Frequency space domain randomization for domain generalization, in: Proceedings of theIEEE/CVFConferenceonComputerVisionandPatternRecogni- tion, pp

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.748715Z digest=sha256:c24b68a6aa3fff4c48afdf082cf05b0e73084c5123de7e7c142f904f0355e4d4

Observation b831d153-13a5-4f40-83b1-fbf52c243c83 · outbound

This paper cites Epithelium-stroma classification via convolutional neural networks and unsupervised domain adaptation in histopathological images.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Epithelium-stroma classification via convolutional neural networks and unsupervised domain adaptation in histopathological images

Reference 15

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source=pdf_text observed=2026-08-15T21:26:17.753317Z digest=sha256:c82e924ea1d3ce5b8495bab8ac4cfcbdf1437a7ae943d187546ad27b19ee029e

Observation 046c942d-426a-43e5-ba65-bfcfb7b795ca · outbound

This paper cites Visual prompt tuning, in: European Conference on Computer Vision, Springer.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Visual prompt tuning, in: European Conference on Computer Vision, Springer

Reference 16

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raw_fallback, observed 2026-08-15T21:26:18.898615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.757995Z digest=sha256:15ccd10ade6c215bd83c7e3e40e149e9ec129b35b12409612240d766c8a15dc6

Observation 86acb76a-5bda-4af6-a171-1c7ab87c66f3 · outbound

This paper cites Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d840d72b-04ff-4cb6-a991-25953f8e7c21 · outbound

This paper cites Miccai multi-atlas labeling beyond the cranial vault– workshop and challenge, in: Proc.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Miccai multi-atlas labeling beyond the cranial vault– workshop and challenge, in: Proc

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.766938Z digest=sha256:78b3c64a3bc3443033abf921e583f3a7ccdab11396ec6c065a800061dccb9273

Observation 02862fba-50a4-43f1-8879-867014aac90e · outbound

This paper cites Dataset shift in machine learning.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Dataset shift in machine learning

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.771471Z digest=sha256:ac87f645d0bc8a061a95ea2b93da100816f5b4e799cd60411dd8d0071c65f0d6

Observation 5dd03cf4-3ee7-464a-8673-fd5cd8177d29 · outbound

This paper cites A comprehensive survey on source-free domain adaptation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation A comprehensive survey on source-free domain adaptation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.776168Z digest=sha256:3ef448e425908b5ac94b4ae9ba69ba58d40c3c71526558e62be32d33bf90e037

Observation 58d8c53e-f72b-4fa9-9e91-71356b8c83b5 · outbound

This paper cites 9641–9650.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation 9641–9650

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.780759Z digest=sha256:e42b6dd78a8d7eb02bb31d8bd76ac6e68ca4af66605e31cc14d22ea0e90d30ad

Observation 748a3347-5c5e-4591-be31-245e8e22f11f · outbound

This paper cites Revisiting Batch Normalization For Practical Domain Adaptation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Revisiting Batch Normalization For Practical Domain Adaptation

Reference 22

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source=pdf_text observed=2026-08-15T21:26:17.785538Z digest=sha256:6388873fb7975093f54f1c6d04ac7924256200668ccb4441b8702d66631c55b8

Observation c810c238-b473-473b-bdbb-4fae66291dac · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.790242Z digest=sha256:7a8a435715f7c181193aa46ee3f04c97f876b9eb692f21adebdd587c073d59fb

Observation 2b7b86e4-af70-4765-bba4-4634dc90446a · outbound

This paper cites A structure- aware framework of unsupervised cross-modality domain adaptation via frequency and spatial knowledge distillation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation A structure- aware framework of unsupervised cross-modality domain adaptation via frequency and spatial knowledge distillation

Reference 24

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raw_fallback, observed 2026-08-15T21:26:18.786816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.794978Z digest=sha256:c5ac6413bbbb79784e4c1671ecf098cece88c83a285bd89eedb18a4d4b6a75c6

Observation 6dfa464c-678d-4ee0-8db6-edfa23f2e222 · outbound

This paper cites Source-freedomainadaptationfor semanticsegmentation,in:ProceedingsoftheIEEE/CVFConference on Computer Vision and Pattern Recognition, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Source-freedomainadaptationfor semanticsegmentation,in:ProceedingsoftheIEEE/CVFConference on Computer Vision and Pattern Recognition, pp

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.799661Z digest=sha256:1b1f4225f9cd3a80b14405e6a595fd6ff81ef05ab05f84addfff912ba1c5c82e

Observation d36b2893-ed5a-4dfa-a2fa-e9db0e99e78e · outbound

This paper cites Margin preservingself-pacedcontrastivelearningtowardsdomainadaptation for medical image segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Margin preservingself-pacedcontrastivelearningtowardsdomainadaptation for medical image segmentation

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.804080Z digest=sha256:ec376eb4f834a26778d99710aa657b2e89b2255717a8305b2c0bd83a3b324773

Observation cf4e1c92-6bd0-4343-bcbc-f0a49313f6ac · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats).

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation The multimodal brain tumor image segmentation benchmark (brats)

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.808741Z digest=sha256:b46f2bdfc8d1d27863b40a7a18be4c5ecb6c6fc3baf13b50a24e6f2a4ac98f3b

Observation 6ab55cce-22e6-4fe4-abc4-42a3f9ad77ef · outbound

This paper cites Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation

Reference 28

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local_arxiv, observed 2026-08-15T21:26:18.114982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.813452Z digest=sha256:0b0059f0ad317fd4dd873fa2f85d0633701b3fc803c16fae3382c8d55efc1eb1

Observation d3d15105-1b92-44fc-a972-b735937a212d · outbound

This paper cites Blackvip: Black-box visual prompting for robust transfer learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Blackvip: Black-box visual prompting for robust transfer learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 29

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raw_fallback, observed 2026-08-15T21:26:18.739460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.818335Z digest=sha256:75f46a01b146b5a4c9bc6da58519f49a52df36857929de4fa97b4c6c8b417802

Observation 4b7592a6-a3d3-43a9-bc33-cd2be139a0f0 · outbound

This paper cites Two at once: Enhancing learning and generalization capacities via ibn-net, in: Proceedings of the european conference on computer vision (ECCV), pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Two at once: Enhancing learning and generalization capacities via ibn-net, in: Proceedings of the european conference on computer vision (ECCV), pp

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.721940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.822837Z digest=sha256:5d31d2f2440988aac7a17abd756550b23a015b2dab5a172204bafc7355cc9f9e

Observation 39af9964-b04b-411a-8b75-fa592bc1c8ed · outbound

This paper cites Curriculum feature alignment domain adaptation for epithelium-stroma classification in histopathological images.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Curriculum feature alignment domain adaptation for epithelium-stroma classification in histopathological images

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.827242Z digest=sha256:245453e703ade81f8f682b35dd5dd74de50ef17bbdcde89120259c5249dbccf9

Observation eba82602-0738-460e-83b6-1334a7f7b920 · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.831430Z digest=sha256:ab89e87df374608175d56071004059412cdf8bfe9e9414f1b7cad05f19341e03

Observation e0fedafd-d5fa-4198-976f-ffdcf8a5ee0a · outbound

This paper cites Improving robustness against common corrup- tions by covariate shift adaptation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Improving robustness against common corrup- tions by covariate shift adaptation

Reference 33

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raw_fallback, observed 2026-08-15T21:26:18.694741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.836345Z digest=sha256:13819964772fc003a2261aea06d4bace4f7e940b94c0a873086c61cc64d26fbf

Observation 3626dba2-21c9-46e1-88df-471a2c7ff5ca · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:26:18.679911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.841074Z digest=sha256:ef2f91385ac1947252e4139a5a85d85dd30f7f3e30c39c68705740f031529927

Observation aea82035-1c06-44a4-9442-049435279550 · outbound

This paper cites Target and task specificsource-freedomainadaptiveimagesegmentation,in:Medical Imaging with Deep Learning.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Target and task specificsource-freedomainadaptiveimagesegmentation,in:Medical Imaging with Deep Learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.665047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.845391Z digest=sha256:1d51cf4ddc81f116cb112d23de62223af8d6f687cb2dc5d064b8dc6ac6c049d0

Observation e36041e2-6e03-4866-b0cd-b7c79552b745 · outbound

This paper cites Exploring domain- invariant parameters for source free domain adaptation, in: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Exploring domain- invariant parameters for source free domain adaptation, in: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.649757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.849837Z digest=sha256:12d4f580c3d59dafafa1bb64e1d1e9ac5d9d98ccc5e1e136c90fd5e6106ccada

Observation e684762d-71c4-4afb-9cc3-4a142caa032e · outbound

This paper cites Towardsgenericsemi-supervisedframework for volumetric medical image segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Towardsgenericsemi-supervisedframework for volumetric medical image segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.634509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.854161Z digest=sha256:db5218fac2ed83845684d8baf108564408b7b652ab0cb7f5382e1f877d07c354

Observation 69c391a7-d892-4f20-bfee-3a5dc093aeb8 · outbound

This paper cites Fvp:Fouriervisualpromptingforsource-freeunsupervised domain adaptation of medical image segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Fvp:Fouriervisualpromptingforsource-freeunsupervised domain adaptation of medical image segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.619068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.858617Z digest=sha256:df60317998fa037b3171b11a482d898c134557d770d1234252905b335df36d31

Observation d2e70d7b-b16d-47fb-bcaa-b8103c7acbe9 · outbound

This paper cites Calibration-freeonlinetest- timeadaptationforelectroencephalographymotorimagerydecoding, in: 2024 12th International Winter Conference on Brain-Computer Interface (BCI), IEEE.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Calibration-freeonlinetest- timeadaptationforelectroencephalographymotorimagerydecoding, in: 2024 12th International Winter Conference on Brain-Computer Interface (BCI), IEEE

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.603516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.862832Z digest=sha256:4e0e3b8406ca52978cea4558ed51dde3d8047e5bbe0dda5cc0977df35e52e6d4

Observation a49d15e4-dcea-4ae1-a8ff-a1054f91c37c · outbound

This paper cites Test-time domainadaptationbylearningdomain-awarebatchnormalization,in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Test-time domainadaptationbylearningdomain-awarebatchnormalization,in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.588364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.867405Z digest=sha256:3f9ee1f79395bf3a8055caafb1b87f3cc08412d729171f09e708b49398e2af0a

Observation 3d52bec2-d0f9-4976-ae68-186227d14d6f · outbound

This paper cites Bidirectional mapping-based domain adaptation for nucleus detection in cross- modality microscopy images.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Bidirectional mapping-based domain adaptation for nucleus detection in cross- modality microscopy images

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.572985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.871871Z digest=sha256:6a05dde0df23e9c509a126c8d165129b27983388390ae7c5d31cb3593b0ecc9b

Observation 1a5f86d8-9b7c-41ef-afd3-aff2f0521121 · outbound

This paper cites Source free domain adaptationformedicalimagesegmentationwithfourierstylemining.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Source free domain adaptationformedicalimagesegmentationwithfourierstylemining

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.557570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.876398Z digest=sha256:4b06b853bbe1a6d9fcc961abfeea4204c52757322da29919a8f0157d0cf4a06a

Observation 0bfc6eac-0949-471b-8d56-7939abe812f9 · outbound

This paper cites Federated semi- supervised learning for covid region segmentation in chest ct using multi-national data from china, italy, japan.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Federated semi- supervised learning for covid region segmentation in chest ct using multi-national data from china, italy, japan

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.539783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.880681Z digest=sha256:db6cdb249be0cb72ef1489a7bf7ee260f532062d181e3870aa4237fc63cb774c

Observation e172f860-fbc2-4f52-a728-05eb3b84d895 · outbound

This paper cites an unresolved cited work.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:26:18.522306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.885734Z digest=sha256:194beb2c9ef88f535893bc511f7119b6d297ea3507fd89f450af034cf510f1db

Observation 1d4ad208-7113-42c2-aa99-355d70d52a82 · outbound

This paper cites Fda: Fourier domain adaptation for semanticsegmentation,in:ProceedingsoftheIEEE/CVFconference on computer vision and pattern recognition, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Fda: Fourier domain adaptation for semanticsegmentation,in:ProceedingsoftheIEEE/CVFconference on computer vision and pattern recognition, pp

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.506465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.894894Z digest=sha256:c617aad0d22724aa72eeee06223d13983f74df064722ae34ee81187f98f39393

Observation 3fe8f263-0d75-4b6a-b768-37eff44f636c · outbound

This paper cites A novel 3d unsupervised domain adaptation framework for cross-modality medical image segmentation.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation A novel 3d unsupervised domain adaptation framework for cross-modality medical image segmentation

Reference 46

Resolution
malformed identifier
no resolver link, observed 2026-08-15T21:26:17.899236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.899236Z digest=sha256:4820342bf6d3656a6385f5ae79904d9e37eb9acd03fc6c2fcc5a2a860dead253

Observation 15ea94ea-f620-4878-84ab-5e09a27d9b40 · outbound

This paper cites Source-free domain adaptation for medical image segmentation via S.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Source-free domain adaptation for medical image segmentation via S

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.490779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.903961Z digest=sha256:7296206f6a7432996383311e163ae22ddd7b627fc111dddf1ac2208d0a6a55b4

Observation 11c5ad75-4410-4205-8a97-f9acee916b72 · outbound

This paper cites Domainadaptor: A novel approach to test-time adaptation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Domainadaptor: A novel approach to test-time adaptation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.475366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.908598Z digest=sha256:9e38249b4ee645ed0c8e16d9cda5b322c7d1b66624a82b1bd57db11a9423ada9

Observation 268d6d3a-d5e5-4bd4-adcd-735f488c097e · outbound

This paper cites Multi-scale patch and multi-modality atlases for whole heart segmentation of mri.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Multi-scale patch and multi-modality atlases for whole heart segmentation of mri

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:26:18.459789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:26:17.913590Z digest=sha256:cff0ffcacfd04c1febca8ba381ca3a0a23ed770a074985fa2b7676af80d9bb76

Observation 95bb2062-0c67-4eee-8a47-3ca414599698 · outbound

This paper cites Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.

DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T21:26:17.890176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:17.890176Z digest=sha256:5f11f66c2273641bd6b989dd1e49d456820510625b9699dc3c2bf049d0656593

Pith citing papers

No inbound Pith citation observations are available.