Paper Citation Record · LEDGER

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation

As of 12 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.14883.

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

pith.paper-citation-record.v1
2411.14883 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:21.156377Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy12
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 459c110f-2aea-43b4-b102-ccc3a6b248ec · outbound

This paper cites Shape-aware meta-learning for gener- alizing prostate mri segmentation to unseen domains,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Shape-aware meta-learning for gener- alizing prostate mri segmentation to unseen domains,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.685931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation edae153c-326c-43c2-9e40-a6ab2913ff97 · outbound

This paper cites Dofe: Domain-oriented feature embedding for generalizable fundus image seg- mentation on unseen datasets,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Dofe: Domain-oriented feature embedding for generalizable fundus image seg- mentation on unseen datasets,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:20.993061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4bb026-576e-4c27-8fcb-b46042ad3c80 · outbound

This paper cites Generalizable medical image segmentation via random amplitude mixup and domain-specific image restoration,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Generalizable medical image segmentation via random amplitude mixup and domain-specific image restoration,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.654320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27812f35-4fbd-4b3b-b070-d49f313fa37e · outbound

This paper cites Domain Generalization with MixStyle.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Domain Generalization with MixStyle

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.005235Z

Source-reported events for the cited work

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Observation 88d06248-9a7c-45d2-a658-10ef5124b239 · outbound

This paper cites Fda: Fourier domain adaptation for semantic segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Fda: Fourier domain adaptation for semantic segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.636627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7176967b-2ab7-4943-8597-0621aca29adf · outbound

This paper cites Adversarial style augmen- tation for domain generalized urban-scene segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Adversarial style augmen- tation for domain generalized urban-scene segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.619505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1de3ec60-a1dd-41a4-9133-66c8a9df5336 · outbound

This paper cites Adversarial Style Augmentation for Domain Generalization.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Adversarial Style Augmentation for Domain Generalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.025298Z

Source-reported events for the cited work

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Observation f616c6ee-a270-443b-bdd3-36bf128fec28 · outbound

This paper cites Global and local tex- ture randomization for synthetic-to-real semantic segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Global and local tex- ture randomization for synthetic-to-real semantic segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.602407Z

Source-reported events for the cited work

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Observation f70ef91b-a296-49b8-8661-698516798c64 · outbound

This paper cites Domain invariant representation learning with domain density transformations,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Domain invariant representation learning with domain density transformations,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.035810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08938b1b-f135-4ad1-bc8f-9dd64f1c2ab5 · outbound

This paper cites Knowledge distillation-based domain-invariant representation learning for domain generalization,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Knowledge distillation-based domain-invariant representation learning for domain generalization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.040972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e707dc4-2bd8-4195-9b50-2fcfc356d6f9 · outbound

This paper cites Learning to balance specificity and invariance for in and out of domain generalization,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Learning to balance specificity and invariance for in and out of domain generalization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.562405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2ad8504-668b-443f-b8d0-04d2ad155d0a · outbound

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

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Treasure in distribution: a domain randomization based multi-source domain generalization for 2d medical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.545418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81cfac62-cf12-4bc5-8823-d8b8e0a23708 · outbound

This paper cites Robust and Generalizable Visual Representation Learning via Random Convolutions.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Robust and Generalizable Visual Representation Learning via Random Convolutions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.057055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8778a14b-29be-4e1f-aed4-fbf636b94381 · outbound

This paper cites Domain generalization with correlated style uncertainty,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Domain generalization with correlated style uncertainty,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.062835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db5c08f-f49a-4644-9a6e-86202c216bd0 · outbound

This paper cites Localized adversarial domain generalization,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Localized adversarial domain generalization,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.067900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d4a00d-7781-4c27-aa3c-173368d0b947 · outbound

This paper cites Domain adversarial neural net- works for domain generalization: When it works and how to improve,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Domain adversarial neural net- works for domain generalization: When it works and how to improve,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.072883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d7af188-8f12-4f27-bbea-2d3bb8437759 · outbound

This paper cites Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.077882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a698c16-e60a-47bc-bb62-50fc495dd5d3 · outbound

This paper cites Domain generalization with adversarial feature learning,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Domain generalization with adversarial feature learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.083082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d07599d-4e2a-4a5b-948b-6ab0d6bb8f31 · outbound

This paper cites Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.087909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a6e0a9-06ef-4a40-8f10-c36b84a907ec · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.092488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ddb372-1bca-449f-af2b-2b4069b9e361 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Arbitrary style transfer in real-time with adaptive instance normalization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.098499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d489328d-dff1-4089-92b1-26ae76d6048f · outbound

This paper cites A Learned Representation For Artistic Style.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation A Learned Representation For Artistic Style

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.103602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8eb2c1-7372-4f50-8b6e-0312d37906e3 · outbound

This paper cites Uctransnet: rethinking the skip connections in u-net from a channel-wise perspective with trans- former,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Uctransnet: rethinking the skip connections in u-net from a channel-wise perspective with trans- former,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.109191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73802cb1-3b99-45c3-a4c4-530bdeacfadb · outbound

This paper cites Davit: Dual attention vision transformers,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Davit: Dual attention vision transformers,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.437223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9cc001ee-901a-4c94-93e9-2b502b21cde3 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.119699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d0c136-d31b-4b79-8663-0fc00fc3156b · outbound

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Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.124862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec40ba24-5694-4394-9c3f-2eecdb52e62b · outbound

This paper cites Domain specific convolution and high frequency reconstruction based unsupervised domain adaptation for medical image segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Domain specific convolution and high frequency reconstruction based unsupervised domain adaptation for medical image segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.397173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 681c2a1f-1cdd-4d67-ae02-445c3759e923 · outbound

This paper cites Deep residual learning for image recognition,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Deep residual learning for image recognition,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.135133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa03d4ae-4b3d-47ff-8de6-f62a77906e67 · outbound

This paper cites HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:21.140398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9121b393-f903-4368-8c83-e3abe0d36fc0 · outbound

This paper cites Tvconv: Efficient translation variant convolution for layout-aware visual process- ing,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Tvconv: Efficient translation variant convolution for layout-aware visual process- ing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.368020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa265bc0-70fc-4fe7-a932-a9ccb07d9e4c · outbound

This paper cites Cddsa: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Cddsa: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.346195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 078bfc5a-b15d-4aa7-ac6f-456d5e686d5e · outbound

This paper cites Learning robust shape regularization for generalizable medical image segmentation,.

Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation Learning robust shape regularization for generalizable medical image segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:21.327104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.