Paper Citation Record · LEDGER

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2604.26324.

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

pith.paper-citation-record.v1
2604.26324 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T13:52:23.634115Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

35 of 35 outbound references displayed

verified exact9
verified fuzzy24
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd9d423d-11fc-45cd-82b7-3690889b93db · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Flower: A Friendly Federated Learning Research Framework

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T14:07:23.126952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c798acf4-8562-49ef-8888-b6ad1f6064ff · outbound

This paper cites Information11(2) (2020).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Information11(2) (2020)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.847103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52b8f5db-cf9b-4e9e-b445-329a12434a51 · outbound

This paper cites arXiv preprint arXiv:2508.03356 (2025).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation arXiv preprint arXiv:2508.03356 (2025)

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.655427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5b9b49cf-c2c4-44ce-a8ae-1f76264e5287 · outbound

This paper cites In: Proceedings of the 11th International Conference on Learning Representations (ICLR) (2023).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: Proceedings of the 11th International Conference on Learning Representations (ICLR) (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.850155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bddccff3-16d9-43df-a0d1-24846f96b846 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: 2009 IEEE conference on computer vision and pattern recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.836917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b1d57e9-d495-47ce-a782-203588581277 · outbound

This paper cites Pattern Recognition151, 110424 (2024).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Pattern Recognition151, 110424 (2024)

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T03:14:56.527775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9996c176-18d3-4011-b826-d88141e52e47 · outbound

This paper cites Scientific Data11(1), 641 (2024).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Scientific Data11(1), 641 (2024)

Reference 7

Resolution: verified exact; doi, observed 2026-05-09T03:14:56.530785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38110827-c732-4a12-adab-a2e579510b41 · outbound

This paper cites (Ac- cessed: 2025-10-22), https://www.isic-archive.com/.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation (Ac- cessed: 2025-10-22), https://www.isic-archive.com/

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.771291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 273593b2-09b0-4a64-8530-53d4b60010fd · outbound

This paper cites Foundations and Trends®in Machine Learning 14(1–2), 1–210 (2021).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Foundations and Trends®in Machine Learning 14(1–2), 1–210 (2021)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.774869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90a739cb-38a9-4d12-887c-a0530c79b882 · outbound

This paper cites Nature Machine Intelligence 3(6), 305–311 (2021).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Nature Machine Intelligence 3(6), 305–311 (2021)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.829821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fac8c7ef-4844-4ddd-b24f-11ea820773d0 · outbound

This paper cites Nature Machine Intelligence2(6), 305–311 (2020).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Nature Machine Intelligence2(6), 305–311 (2020)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.833333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 688b9fac-b026-4c35-8d91-85b9d5276b6d · outbound

This paper cites PLOS ONE20(7), e0326579 (2025).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation PLOS ONE20(7), e0326579 (2025)

Reference 12

Resolution: verified exact; doi, observed 2026-05-09T03:14:56.525224Z

Source-reported events for the cited work

correction dated 2025-12-31. Source: crossref record 10.1371/journal.pone.0340003->10.1371/journal.pone.0326579:correction, observed 2026-07-11T02:57:34.814949+00:00. This notice travels one citation hop only.

Observation 86507d78-aafd-4581-9b9e-ade55effa5f1 · outbound

This paper cites In: International Conference on Machine Learning.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: International Conference on Machine Learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.843722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea631d45-aa30-4f19-81cb-b8e4b84665c4 · outbound

This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.777930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df918d8e-0be1-45ea-a7fb-df2e5ebe0054 · outbound

This paper cites arXiv preprint arXiv:2406.12844 (2024).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation arXiv preprint arXiv:2406.12844 (2024)

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.644740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4fa37b75-994f-4023-90fe-87babd10f5b3 · outbound

This paper cites Proceedings of Machine Learning and Systems2, 429–450 (2020) Federated Unbalanced Classification via Generative Sampling 15.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Proceedings of Machine Learning and Systems2, 429–450 (2020) Federated Unbalanced Classification via Generative Sampling 15

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.817821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c07f9381-4163-48c3-80ca-eef105789e0d · outbound

This paper cites Medical image analysis42, 60–88 (2017).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Medical image analysis42, 60–88 (2017)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.824602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de7b82c2-a009-45c5-b337-da841777c053 · outbound

This paper cites A ConvNet for the 2020s.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation A ConvNet for the 2020s

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.634533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a608ac0-3f27-4473-9429-6e659ec38a28 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2017).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: International Conference on Learning Representations (ICLR) (2017)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.811185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ce919c7c-de72-42f8-b159-958241202bb9 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2017).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: International Conference on Learning Representations (ICLR) (2017)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.821377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed62c37d-8762-4daa-ba2d-4be5756df85c · outbound

This paper cites In: Artificial Intelligence and Statistics.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: Artificial Intelligence and Statistics

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.840475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dc138aac-43bd-4c60-b10d-427956448801 · outbound

This paper cites Diagnostics13(9), 1532 (2023).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Diagnostics13(9), 1532 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.808170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 621d250b-0eb1-4908-8b69-3182eb8081b3 · outbound

This paper cites In: Proceedings of the 11th International Conference on Learning Representations (ICLR) (2023).

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.781324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d011594-b4c9-43cb-9e9c-e760032a380f · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation FiLM: Visual Reasoning with a General Conditioning Layer

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.639529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9fc2d932-8dcb-4e89-b9b3-eb598feee4e6 · outbound

This paper cites Scientific reports10(1), 1–12 (2020).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Scientific reports10(1), 1–12 (2020)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.798379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ccdc385-5795-4cb9-9dec-b6dc001c769e · outbound

This paper cites Annual review of biomedical engineering19, 221–248 (2017).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Annual review of biomedical engineering19, 221–248 (2017)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.784999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df4df855-3db0-4b6c-80a6-8d62d98f8489 · outbound

This paper cites In: IEEE/CVF Win- ter Conference on Applications of Computer Vision.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: IEEE/CVF Win- ter Conference on Applications of Computer Vision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.791764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0bc9199f-11cf-4391-9a60-0d0c9169eda7 · outbound

This paper cites IEEE Access (2023).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation IEEE Access (2023)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.795153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42af026a-9be4-4f59-b410-fbb6931c74c3 · outbound

This paper cites In: International Conference on Machine Learning.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: International Conference on Machine Learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.801594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66e7ef4c-504a-450f-9815-c3484d667f5b · outbound

This paper cites The HAM10000 dataset, a large collection of multi -source dermatoscopic images of common pigmented skin lesions.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation The HAM10000 dataset, a large collection of multi -source dermatoscopic images of common pigmented skin lesions

Reference 30

Resolution: metadata mismatch; doi, observed 2026-05-09T03:14:56.523541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c73abeba-d28c-44ea-8ba9-eb848d3f1881 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.804911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adf8373a-e72f-4f80-b9d2-485c4b8c7a55 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention – MICCAI.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation In: Medical Image Computing and Computer Assisted Intervention – MICCAI

Reference 32

Resolution: verified exact; doi, observed 2026-05-09T03:14:56.534686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 72c4b758-f3c2-470c-9922-6fb13fbaddf7 · outbound

This paper cites Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.650624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac8c6fb6-1b64-4e1c-aaf9-87a9b72ed70e · outbound

This paper cites arXiv preprint (2025).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation arXiv preprint (2025)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.788394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 05fd9f5d-3b3a-44a1-98c5-502e0a64ee5a · outbound

This paper cites arXiv (2025).

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation arXiv (2025)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T05:08:36.814378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.