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Paper Citation Record · LEDGER

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2507.23110.

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

pith.paper-citation-record.v1
2507.23110 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:07:53.046984Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:03:28.160731Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T20:08:13.071557Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy24
  • unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 258e354b-a147-49d8-ac87-3aedc3d5d787 · outbound

This paper cites Invariance principle meets information bottleneck for out-of-distribution generalization.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Invariance principle meets information bottleneck for out-of-distribution generalization

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 036659a5-dd95-4a71-9732-626196fe9ea6 · outbound

This paper cites Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Reference 2

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Source-reported events for the cited work

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Observation 2739835a-f0e8-43e1-b29d-c14ee948502c · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging, 37(11):2514–2525, 2018.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved? IEEE transactions on medical imaging, 37(11):2514–2525, 2018

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c38da2a9-76fb-42a8-9cd3-bcde7569a873 · outbound

This paper cites Multi-centre, multi-vendor and multi- disease cardiac segmentation: the m&ms challenge.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Multi-centre, multi-vendor and multi- disease cardiac segmentation: the m&ms challenge

Reference 4

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raw_fallback, observed 2026-08-06T11:07:55.070121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1d07a027-bf92-4c0d-b581-aa19bedd3139 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6b286d7-d9ef-4239-8af9-05a5414bcfa2 · outbound

This paper cites Realistic adversarial data augmentation for mr image segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Realistic adversarial data augmentation for mr image segmentation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 828c6c39-fc51-461b-bef2-022cf05b37e4 · outbound

This paper cites SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 58a38ec1-3da6-427b-9e62-351a3c90d8b7 · outbound

This paper cites SAM-Med2D.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation SAM-Med2D

Reference 9

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Source-reported events for the cited work

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Observation f9dc5577-4128-4ea5-b972-d22f24912abf · outbound

This paper cites TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fcf20be9-07e3-4e9d-8684-c92e48854bea · outbound

This paper cites SegVol: Universal and Interactive Volumetric Medical Image Segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44a3ccd1-9877-4240-ac86-38435cc29146 · outbound

This paper cites Segvol: Universal and interactive volumetric medical image segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Segvol: Universal and interactive volumetric medical image segmentation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 742995e3-ad53-425d-86a0-e4cff3040246 · outbound

This paper cites Probable domain generalization via quantile risk minimization.Advances in Neural Information Processing Systems, 35:17340–17358, 2022.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Probable domain generalization via quantile risk minimization.Advances in Neural Information Processing Systems, 35:17340–17358, 2022

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 82ac2bef-6c2f-4118-9045-6e520825df63 · outbound

This paper cites In Search of Lost Domain Generalization.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation In Search of Lost Domain Generalization

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ecdafd7-a187-4520-b48b-f52f9f9b0e17 · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Unetr: Transformers for 3d medical image segmentation

Reference 15

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raw_fallback, observed 2026-08-06T11:07:54.891681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cc53d2c9-8313-416f-abc8-ca303228598e · outbound

This paper cites STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 21a37bc3-36d2-490e-849e-8f50233470a6 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation cbf8ba70-841e-4ca7-a286-eee515744280 · outbound

This paper cites Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Large Scale MRI Collection and Segmentation of Cirrhotic Liver

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1a3c7547-661c-4139-a74b-5f616e542265 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ab36633e-c9c5-43e8-bb8c-b1effa1242da · outbound

This paper cites Domain generalizer: A few-shot meta learning framework for domain generalization in medical imaging.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Domain generalizer: A few-shot meta learning framework for domain generalization in medical imaging

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8c16c5f6-aaa8-4890-bec0-4ce87c55c726 · outbound

This paper cites Segment anything.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Segment anything

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d379a04-ae6a-4c15-9110-241caec5fdec · outbound

This paper cites Segment anything.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Segment anything

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 658ef081-24f5-4d28-a5a5-3861437d1355 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex).

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Out-of-distribution generalization via risk extrapolation (rex)

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b8607d65-6555-4116-97f9-5b8e87b3ff0d · outbound

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

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Shape-aware meta-learning for generalizing prostate mri segmentation to unseen domains

Reference 25

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raw_fallback, observed 2026-08-06T11:07:54.579887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a71d7d30-0be9-438c-9e06-cf3292e20df5 · outbound

This paper cites Ms-net: Multi-site network for improving prostate segmentation with heterogeneous mri data.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Ms-net: Multi-site network for improving prostate segmentation with heterogeneous mri data

Reference 26

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raw_fallback, observed 2026-08-06T11:07:54.542771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2adf41d7-c4cc-4355-971a-475b94c6ae4a · outbound

This paper cites Feddg: Federated domain generaliza- tion on medical image segmentation via episodic learning in continuous frequency space.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Feddg: Federated domain generaliza- tion on medical image segmentation via episodic learning in continuous frequency space

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 47663fe1-d0a6-4b02-9a39-55b4d683ee87 · outbound

This paper cites Segment anything in medical images.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Segment anything in medical images

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.444616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2800592d-7149-4de4-a1f9-d3ce67a525e2 · outbound

This paper cites Duke liver dataset: A publicly available liver mri dataset with liver segmentation masks and series labels.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Duke liver dataset: A publicly available liver mri dataset with liver segmentation masks and series labels

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.415554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 40bb8942-cad5-4d09-9fa6-b0e60f920cbd · outbound

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

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation The multimodal brain tumor image segmentation benchmark (brats)

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.374510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 197b60e0-b5df-4214-a349-7a50b913a556 · outbound

This paper cites Gradient starvation: A learning proclivity in neural networks.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Gradient starvation: A learning proclivity in neural networks

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.318095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5eec362a-e0bc-4b91-a491-e9eeb8f1f7a1 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Learning transferable visual models from natural language supervision

Reference 32

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no resolver link, observed 2026-08-06T11:07:52.845532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:52.845532Z digest=sha256:cbdf9403f5a07705d4fe2ff99c3d415777aeced4af3d058fcf1f2e9778c42c9e

Observation 733a0468-769e-47f7-a078-bade748bdd0c · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.221788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 137a6a50-02c5-4f9c-8f51-72b12006c184 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 34

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no resolver link, observed 2026-08-06T11:07:52.883582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:52.883582Z digest=sha256:e3ee9ba22fd2a0511495abeff2cc8530f909e9d26dd1f38240e4202f0824a84c

Observation e8786f56-dbd8-4faf-b66c-7d486fc7b444 · outbound

This paper cites SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a53b304-56ae-40a8-826b-505f50e9f8a3 · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Generalizing to unseen domains: A survey on domain generalization

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.174487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:52.908411Z digest=sha256:70611b142edff34281883c774662aadab986e34e6f9cc9c381867c05ef5ffe07

Observation a4cd0b87-797b-47e6-8f41-e71703206947 · outbound

This paper cites Totalsegmentator: robust segmentation of 104 anatomic structures in ct images.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Totalsegmentator: robust segmentation of 104 anatomic structures in ct images

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.119836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:52.928866Z digest=sha256:ddcf27b8cb79be028e0337f98e09943775192e4f816199275d082ebe3addd278

Observation 76e6fbbc-5618-4456-8698-d469dd821092 · outbound

This paper cites Robust and generalizable visual representation learning via random convolutions.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Robust and generalizable visual representation learning via random convolutions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.082764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:52.944493Z digest=sha256:8a4c39f53b15ded2b4941c463891790cc1014fa3244a704dbcbcfe076b6bb149

Observation 94c4a2e7-6321-488f-b5f4-e35b8a44c719 · outbound

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

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:07:54.021309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:52.953331Z digest=sha256:8f3074d1d0e39baabc0f284b1dbf630f84721f26b84417530c5b69c1aaaf97c0

Observation bde0d0d3-54e5-4b7c-8fe9-91c8e84ca065 · outbound

This paper cites Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:07:53.151511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:52.967234Z digest=sha256:bb511ffd492388b0c8031d5b12018845c4abfed348b55b38784ec044ad36a7b9

Observation 8d55393b-56e9-4df3-bc62-6f532c82e5f3 · outbound

This paper cites Deep learning algorithms for pancreas segmentation from radiology scans: A review.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Deep learning algorithms for pancreas segmentation from radiology scans: A review

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:07:53.971926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:53.005018Z digest=sha256:615c45cd6b67a549db268ccf8424f3d438f60a91a76dbfb8e4808897771f4349

Observation b8d535cc-d97d-4b40-8389-c201368a60e0 · outbound

This paper cites an unresolved cited work.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:07:53.914671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:53.015864Z digest=sha256:0ecb513eed65feee1522a3554067fb7c4143af9c14099db7a20a5f3ec458d6ae

Observation 8493ff19-a773-4bf6-adcd-16ecade7c19a · outbound

This paper cites Domain generalization with mixstyle.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Domain generalization with mixstyle

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T11:07:53.029234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:53.029234Z digest=sha256:57122f88570e9da9d2222b36d924c37e2da86918088ef858cb8888d9ccb2de06

Observation d069fcb7-e500-4341-9055-c18013730653 · outbound

This paper cites Domain generalization: A survey.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation Domain generalization: A survey

Reference 44

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T11:07:53.856931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:07:53.046984Z digest=sha256:51f4942e258351aedd1d1ca56382fe759cd8f3f3e0d475e44bc099e0a5db0898

Pith citing papers

Observation 1bc320d5-fb99-42a8-ad34-30aaa08bb1d9 · inbound

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It cites this paper.

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:13.073714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T20:03:28.160731Z digest=sha256:6b687b9b06b6ac1e62aa2acf97e6260903ae70350f1e6f2cf6ca81c4edc4e58f