Paper Citation Record · LEDGER

Stain-aware Domain Alignment for Imbalance Blood Cell Classification

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.02976.

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pith.paper-citation-record.v1
2412.02976 v1

Coverage vector

measured 40 of 40 reference resolution

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measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation f19cc1cd-4843-4382-85fb-2e84a64a12c7 · outbound

This paper cites Research progress of using micro/nanomotors in the detection and therapy of dis- eases related to the blood environment,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Research progress of using micro/nanomotors in the detection and therapy of dis- eases related to the blood environment,

Reference 1

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Observation 99b1b664-3129-43f6-a76e-a9d948603aa8 · outbound

This paper cites Revisiting foreground and background separation in weakly-supervised temporal action local- ization: A clustering-based approach,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Revisiting foreground and background separation in weakly-supervised temporal action local- ization: A clustering-based approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.674729Z

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Observation 93016c7b-6dd7-4d01-a9d4-b3a13e4162ec · outbound

This paper cites Pdisconet: Semantically consistent part discovery for fine-grained recognition,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Pdisconet: Semantically consistent part discovery for fine-grained recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.667254Z

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Observation a1cea0ad-8183-46a2-bf22-cd2c05d4d24f · outbound

This paper cites Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology

Reference 4

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Observation 98c56243-c077-4ad7-9b9f-baa5f8d47710 · outbound

This paper cites Explainable ai identifies diagnostic cells of genetic aml subtypes,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Explainable ai identifies diagnostic cells of genetic aml subtypes,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.659921Z

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Observation d74e0ce6-76ef-498a-949a-173bd460936a · outbound

This paper cites Re- thinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Re- thinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.652375Z

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Observation a0926165-8ef2-42b7-8071-0a89f3458439 · outbound

This paper cites Constructing balance from imbalance for long-tailed image recognition,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Constructing balance from imbalance for long-tailed image recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.644721Z

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Observation 6a205e84-fa38-4a80-a52c-50c17fef4a1e · outbound

This paper cites Ace: Ally complementary experts for solving long-tailed recognition in one-shot,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Ace: Ally complementary experts for solving long-tailed recognition in one-shot,

Reference 8

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Observation 8e90cea1-d612-4867-b96c-add3b231c0cc · outbound

This paper cites Nested collaborative learning for long-tailed visual recognition,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Nested collaborative learning for long-tailed visual recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.628963Z

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Observation d31045fc-b796-42f8-9c0d-f5bdf2c4a863 · outbound

This paper cites Decoupling representation and classifier for long-tailed recognition,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Decoupling representation and classifier for long-tailed recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.621141Z

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Observation addf2675-a6a0-40fc-8c86-688eec1bbd47 · outbound

This paper cites Learning imbalanced datasets with maximum margin loss,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Learning imbalanced datasets with maximum margin loss,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.613111Z

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Observation dcded63b-b07c-4bb5-8209-90785c4a5ac9 · outbound

This paper cites Adversarial domain adaptation with domain mixup,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Adversarial domain adaptation with domain mixup,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.605536Z

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Observation 3b5bd227-5051-4c75-8fef-e6324990f286 · outbound

This paper cites Autoaug- ment: Learning augmentation strategies from data,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Autoaug- ment: Learning augmentation strategies from data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.597830Z

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Observation fad96242-6a4f-4244-bd78-088677d3f82a · outbound

This paper cites Pcl: Proxy-based contrastive learning for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Pcl: Proxy-based contrastive learning for domain generalization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.589982Z

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Observation 0e29b0e3-9c66-45ab-9351-5c2efd0506ed · outbound

This paper cites Selfreg: Self-supervised contrastive regularization for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Selfreg: Self-supervised contrastive regularization for domain generalization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.582377Z

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Observation 5594790f-e4e4-4aeb-b931-cf4048a6562f · outbound

This paper cites Learning imbal- anced datasets with label-distribution-aware margin loss,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Learning imbal- anced datasets with label-distribution-aware margin loss,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.574330Z

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Observation 36edf833-d318-4a6e-8d36-337fa6e66b1c · outbound

This paper cites Focal loss for dense object detection,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Focal loss for dense object detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.566443Z

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Observation ee841cf0-0297-4085-9129-0a8f18f36287 · outbound

This paper cites Overcoming classifier imbalance for long-tail object detection with balanced group softmax,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Overcoming classifier imbalance for long-tail object detection with balanced group softmax,

Reference 18

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Observation f5491828-6e3d-4c7c-9945-a94dd602741d · outbound

This paper cites Mdcs: More diverse experts with consistency self-distillation for long-tailed recognition,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Mdcs: More diverse experts with consistency self-distillation for long-tailed recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.550563Z

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Observation 214e477e-f09d-4610-8eb3-7fb1a28881a5 · outbound

This paper cites Contrastive learning based hybrid networks for long-tailed image classification,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Contrastive learning based hybrid networks for long-tailed image classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.542192Z

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Observation 1b8f0d16-b558-4b9e-864f-bd9df112ac16 · outbound

This paper cites A simple feature augmentation for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification A simple feature augmentation for domain generalization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.534056Z

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Observation 0ea0fb1a-6022-4eea-8a63-f6301b37fce9 · outbound

This paper cites Reducing domain gap by reducing style bias,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Reducing domain gap by reducing style bias,

Reference 22

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Observation 4998e11c-20ba-4c47-b81a-cca2779cb3d2 · outbound

This paper cites Cross- domain feature augmentation for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Cross- domain feature augmentation for domain generalization,

Reference 23

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Observation ee12c4f2-9517-446f-8467-a7176f51e7c8 · outbound

This paper cites Stain mix-up: Unsupervised domain generalization for histopathology images,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Stain mix-up: Unsupervised domain generalization for histopathology images,

Reference 24

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Observation d380ab96-cc61-4c96-9794-30ed831523df · outbound

This paper cites Style neophile: Constantly seeking novel styles for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Style neophile: Constantly seeking novel styles for domain generalization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.508758Z

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Observation fc00b668-6d32-4e10-8626-a79cff6e87f3 · outbound

This paper cites Randstainna: Learning stain- agnostic features from histology slides by bridging stain augmentation and normalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Randstainna: Learning stain- agnostic features from histology slides by bridging stain augmentation and normalization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.500641Z

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Observation a79612b4-a46e-4487-85ea-fbcab593a372 · outbound

This paper cites Rethinking Multi-domain Generalization with A General Learning Objective.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Rethinking Multi-domain Generalization with A General Learning Objective

Reference 27

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Observation 84f0aa2e-751c-4373-b8b3-27c356bf1441 · outbound

This paper cites Domain generalization with adversarial feature learning,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Domain generalization with adversarial feature learning,

Reference 28

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Observation b6600d6b-bf56-4943-b45c-64796438b529 · outbound

This paper cites Supervised contrastive learn- ing,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Supervised contrastive learn- ing,

Reference 29

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Observation 8cabbde2-d4b2-4527-b378-917a18a2486d · outbound

This paper cites Learning from extrin- sic and intrinsic supervisions for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Learning from extrin- sic and intrinsic supervisions for domain generalization,

Reference 30

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Observation 8539960c-9e24-456c-86c4-2123c1c161e4 · outbound

This paper cites Feature stylization and domain-aware contrastive learning for domain generalization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Feature stylization and domain-aware contrastive learning for domain generalization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.472523Z

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Observation b4a58754-abcc-4e74-ad66-4f41ea288a05 · outbound

This paper cites Progressive domain expansion network for single domain gen- eralization,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Progressive domain expansion network for single domain gen- eralization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.464921Z

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Observation 15ae0cc2-f547-4b7c-8620-a75474b502ab · outbound

This paper cites Structure- preserving color normalization and sparse stain separation for histolog- ical images,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Structure- preserving color normalization and sparse stain separation for histolog- ical images,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.456980Z

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Observation 5a2ce5fa-d027-4368-913b-e4203a57f5fd · outbound

This paper cites An overview of statistical learning theory,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification An overview of statistical learning theory,

Reference 34

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Observation 0d485329-d1dd-4ece-accc-ebbac798d404 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Deep coral: Correlation alignment for deep domain adaptation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.440786Z

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Observation dc3502ca-671b-470f-a7d1-64c2fa4b6fe6 · outbound

This paper cites A dataset of microscopic peripheral blood cell images for development of automatic recognition systems,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification A dataset of microscopic peripheral blood cell images for development of automatic recognition systems,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.432951Z

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Observation a49d628d-f08b-4a28-9aca-8e8ec481bd68 · outbound

This paper cites A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.424044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94a36235-e94a-4a44-98b9-e19b137cf205 · outbound

This paper cites Transmixnet: an attention based double-branch model for white blood cell classification and its training with the fuzzified training data,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Transmixnet: an attention based double-branch model for white blood cell classification and its training with the fuzzified training data,

Reference 38

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Observation 444a18e6-b3fb-4c06-a942-c4b6e54607c8 · outbound

This paper cites Fast and robust segmenta- tion of white blood cell images by self-supervised learning,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Fast and robust segmenta- tion of white blood cell images by self-supervised learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.407048Z

Source-reported events for the cited work

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Observation 31e8422d-ca0a-4202-8384-ab83ae087ec7 · outbound

This paper cites Swad: Domain generalization by seeking flat minima,.

Stain-aware Domain Alignment for Imbalance Blood Cell Classification Swad: Domain generalization by seeking flat minima,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:58:06.398475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

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