Paper Citation Record · LEDGER

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2501.04958.

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

pith.paper-citation-record.v1
2501.04958 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:26:02.364419Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d39862b9-0e43-4dad-a1c4-4c4eda010893 · outbound

This paper cites A survey on deep learning in medical image analysis,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment A survey on deep learning in medical image analysis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.976127Z

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Observation 73f5553d-2149-451e-8418-56a6aaa4688a · outbound

This paper cites Training cost-sensitive neural networks with methods addressing the class imbalance problem,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Training cost-sensitive neural networks with methods addressing the class imbalance problem,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.960588Z

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Observation e0900bbf-75f7-4497-9326-d99cddd2df71 · outbound

This paper cites Domain-adversarial training of neural networks,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Domain-adversarial training of neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.944820Z

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Observation 7579718e-c5e5-46ba-8b77-085973dd6fb1 · outbound

This paper cites Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images,

Reference 4

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Observation c9b2b389-fd1b-4aa1-a0a6-b8ac4e98f578 · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Smote: Synthetic minority over-sampling technique,

Reference 6

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Observation e2098605-cfad-4a34-a966-ab896f29950d · outbound

This paper cites MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder

Reference 7

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Observation 3631419d-dca8-422e-99a8-9a18da441f72 · outbound

This paper cites Adversarial discriminative domain adaptation,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Adversarial discriminative domain adaptation,

Reference 10

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Observation a0a78741-bde8-46d3-a6de-3aa14c6642f3 · outbound

This paper cites Segment any building,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Segment any building,

Reference 11

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Observation eb0e96a5-5dda-4cfe-910a-243f74c527f8 · outbound

This paper cites Adasyn: Adaptive synthetic sampling approach for imbalanced learning,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Adasyn: Adaptive synthetic sampling approach for imbalanced learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.823987Z

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Observation 93274597-5ace-4a7a-b186-5e852bd4187c · outbound

This paper cites Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Reference 13

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Observation ecff4da9-6979-4cf2-8f33-e1657125d034 · outbound

This paper cites Embryo selection through artificial intelligence versus embryologists: a systematic review,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Embryo selection through artificial intelligence versus embryologists: a systematic review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.807950Z

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Observation 541da169-fbbd-405f-9196-0c20982a7e28 · outbound

This paper cites Dataset shift in machine learning,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Dataset shift in machine learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.792601Z

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Observation 4e7629e6-b0df-43e6-aa1b-ba2803617089 · outbound

This paper cites Unbiased look at dataset bias,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Unbiased look at dataset bias,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.777069Z

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Observation 50e9326c-0d10-48d2-a269-410c92bf316f · outbound

This paper cites Not-so-supervised: A survey of semi-supervised, multi- instance, and transfer learning in medical image analysis,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Not-so-supervised: A survey of semi-supervised, multi- instance, and transfer learning in medical image analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.761091Z

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Observation 7ff653db-dce1-4fbc-90ab-55ae6c7e1feb · outbound

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

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Shape-aware meta-learning for generalizing prostate mri segmentation to unseen domains,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.743987Z

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Observation 51f5d147-683f-4f8e-b377-ccf04fca1220 · outbound

This paper cites Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.725660Z

Source-reported events for the cited work

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Observation 0620b3ca-4e27-43bd-a7a3-6371df6472a9 · outbound

This paper cites Optimal transport driven deep learning with emphasis on pathology images,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Optimal transport driven deep learning with emphasis on pathology images,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.710938Z

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Observation ef37d977-3149-4da9-8b50-6eff0b9894df · outbound

This paper cites Clinical validation of embryo culture and selection by morphokinetic analysis: a randomized, controlled trial of the embryoscope,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Clinical validation of embryo culture and selection by morphokinetic analysis: a randomized, controlled trial of the embryoscope,

Reference 21

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Observation 5a964c30-9fcc-42a9-bedc-e403e1f035df · outbound

This paper cites Artificial intelligence in the embryology laboratory: a review,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Artificial intelligence in the embryology laboratory: a review,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.914351Z

Source-reported events for the cited work

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Observation 6e87a005-27be-4f39-83f0-ed1b988d82eb · outbound

This paper cites Artificial intelligence in human in vitro fertilization and embryology,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Artificial intelligence in human in vitro fertilization and embryology,

Reference 23

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Observation 3168f83e-6a94-43b7-a9a4-5b0f7f6999ab · outbound

This paper cites Embryo selection through artificial intelligence versus embryologists: a systematic review,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Embryo selection through artificial intelligence versus embryologists: a systematic review,

Reference 24

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Observation 6b988e8f-d1c5-43d2-af54-bb5ab6dbc62e · outbound

This paper cites Medical image synthesis for data augmentation and anonymization using generative adversarial networks,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Medical image synthesis for data augmentation and anonymization using generative adversarial networks,

Reference 25

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Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Unresolved cited work

Reference 26

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Observation 9d5b28be-4441-4c87-be9b-4c2a195ba221 · outbound

This paper cites Domain adaptation for medical image analysis: a survey,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Domain adaptation for medical image analysis: a survey,

Reference 27

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Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 28

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This paper cites Cpseg: Finer-grained image semantic segmentation via chain-of-thought language prompting,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Cpseg: Finer-grained image semantic segmentation via chain-of-thought language prompting,

Reference 29

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Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Cluster-based under-sampling approaches for imbalanced data distributions,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.604871Z

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This paper cites Training cost-sensitive neural networks with methods addressing the class imbalance problem,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Training cost-sensitive neural networks with methods addressing the class imbalance problem,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.587872Z

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Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Rusboost: A hybrid approach to alleviating class imbalance,

Reference 32

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This paper cites A study of the behavior of several methods for balancing machine learning training data,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment A study of the behavior of several methods for balancing machine learning training data,

Reference 33

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Observation aae0ca37-29a3-4950-829a-aed5fcdb3ecc · outbound

This paper cites Density-aware personalized training for risk prediction in imbalanced medical data,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Density-aware personalized training for risk prediction in imbalanced medical data,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.536683Z

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Observation 5a95d37e-9fe2-441d-985a-90a11d58fcf4 · outbound

This paper cites Fediic: Towards robust federated learning for class- imbalanced medical image classification,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Fediic: Towards robust federated learning for class- imbalanced medical image classification,

Reference 35

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Observation 1af6eb08-10af-4566-87f3-8127b5019aea · outbound

This paper cites PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification

Reference 36

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Observation a5d0b13b-f6b3-4677-8c4b-2d5da297d3da · outbound

This paper cites Learning from class-imbalanced data: Review of methods and applications,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Learning from class-imbalanced data: Review of methods and applications,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.503785Z

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This paper cites Deep residual learning for image recognition,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Deep residual learning for image recognition,

Reference 38

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Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Inception-v3 for flower classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.476257Z

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Observation 12d976f7-f834-48ac-90fc-a53147b89e05 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions,.

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment Xception: Deep learning with depthwise separable convolutions,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:26:02.460557Z

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Pith citing papers

No inbound Pith citation observations are available.