Paper Citation Record · LEDGER

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2502.12180.

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

pith.paper-citation-record.v1
2502.12180 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:27.489422Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:19.718096Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:10:19.834885Z

Reference resolution

28 of 28 outbound references displayed

verified exact2
verified fuzzy15
unresolved11
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ade6e969-9222-42c6-aba6-a508c099d0c1 · outbound

This paper cites Multimodal Federated Learning in Healthcare: a Review.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Multimodal Federated Learning in Healthcare: a Review

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.340883Z

Source-reported events for the cited work

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Observation cb499410-66f3-45d1-ab4c-8d9e95195cd2 · outbound

This paper cites Multimodal federated learning: A survey,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Multimodal federated learning: A survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.369052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923edcf6-d687-405f-bfde-e7e4de5a6993 · outbound

This paper cites A survey of multimodal federated learning: background, applications, and perspectives,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis A survey of multimodal federated learning: background, applications, and perspectives,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.482666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6280180-ec1d-4276-807e-8486fb59c267 · outbound

This paper cites A multimodal federated learning framework for modality incomplete scenarios in healthcare,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis A multimodal federated learning framework for modality incomplete scenarios in healthcare,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.432128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f0e271b8-1ba8-4fd4-ab3e-8ee286b032e1 · outbound

This paper cites Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.380996Z

Source-reported events for the cited work

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Observation 23de4cb5-63f9-4c08-86f4-5746970db806 · outbound

This paper cites Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.385094Z

Source-reported events for the cited work

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Observation 47b3f533-e13d-4aae-b814-23d8f2f7f2bd · outbound

This paper cites Meta-baseline: Exploring simple meta-learning for few-shot learning,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Meta-baseline: Exploring simple meta-learning for few-shot learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.350794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c25a962f-8022-40d7-aeae-cb4323139033 · outbound

This paper cites Free lunch for few-shot learning: Distribution calibration,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Free lunch for few-shot learning: Distribution calibration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.224956Z

Source-reported events for the cited work

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Observation c145ef3a-e6a5-4ee1-a137-a39062c8ba8c · outbound

This paper cites EPL: Empirical Prototype Learning for Deep Face Recognition.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis EPL: Empirical Prototype Learning for Deep Face Recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:41:27.889828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 524705d4-8e68-4378-b226-719e3b3a20e4 · outbound

This paper cites Fedmed-gan: Federated domain translation on unsupervised cross- modality brain image synthesis,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Fedmed-gan: Federated domain translation on unsupervised cross- modality brain image synthesis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.148567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bd80408-fa2c-4766-8461-3d2fd79050d2 · outbound

This paper cites Client-adaptive cross-model reconstruction network for modality-incomplete multi- modal federated learning,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Client-adaptive cross-model reconstruction network for modality-incomplete multi- modal federated learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.094842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1819d49d-2d7a-4ae7-ab8c-c6cce101cd04 · outbound

This paper cites Deep Multimodal Learning with Missing Modality: A Survey.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Deep Multimodal Learning with Missing Modality: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.408789Z

Source-reported events for the cited work

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Observation ee6f3034-652f-4e3a-90f3-767aa5b9903a · outbound

This paper cites Generative adversarial net- works,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Generative adversarial net- works,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.412760Z

Source-reported events for the cited work

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Observation b5c46739-a952-4c01-9aec-a7b36672f4ce · outbound

This paper cites Ht-fed-gan: Federated generative model for decentralized tabular data synthesis,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Ht-fed-gan: Federated generative model for decentralized tabular data synthesis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.073902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fbb8d22-f7ee-40ba-bbb3-2402d2187381 · outbound

This paper cites FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:41:27.832483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 686fec22-6e33-4b04-b82d-4a8048d8a6cd · outbound

This paper cites Fedmac: Tackling partial-modality missing in federated learning with cross-modal aggregation and contrastive regularization,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Fedmac: Tackling partial-modality missing in federated learning with cross-modal aggregation and contrastive regularization,

Reference 16

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Source-reported events for the cited work

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Observation c619beca-d714-4543-8d47-5110c661b5b3 · outbound

This paper cites Adaptive hyper-graph aggregation for modality- agnostic federated learning,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Adaptive hyper-graph aggregation for modality- agnostic federated learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.061826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d95054e9-028f-4796-85d6-f59d56caff28 · outbound

This paper cites Efficient parameter- free clustering using first neighbor relations,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Efficient parameter- free clustering using first neighbor relations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.049441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05c420a4-9f07-4db6-9bb0-ff571bf3ec39 · outbound

This paper cites Supervised Contrastive Learning.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Supervised Contrastive Learning

Reference 19

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Source-reported events for the cited work

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Observation 1e34e043-b74d-40c0-9b42-410d9774273f · outbound

This paper cites The alzheimer’s disease neuroimaging initiative,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis The alzheimer’s disease neuroimaging initiative,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.019899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c44dee9-b339-499f-b471-586315ba7589 · outbound

This paper cites Stage-wise training: An improved feature learning strategy for deep models,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Stage-wise training: An improved feature learning strategy for deep models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:28.007286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1c68f19-6dd2-4328-a384-aa16ee2a04ef · outbound

This paper cites Graphene and graphene oxide: synthesis, properties, and applications,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Graphene and graphene oxide: synthesis, properties, and applications,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:27.994127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44c8cf60-b940-4185-894f-1b49579e4162 · outbound

This paper cites V oxel-based morphometry—the methods,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis V oxel-based morphometry—the methods,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:27.980882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf7bb779-9331-4bc8-b4dd-e7902dcc3c15 · outbound

This paper cites Automated anatom- ical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Automated anatom- ical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:27.968888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5dd95fdb-4cf3-4312-ad84-6d8ac299e1a5 · outbound

This paper cites Communication-efficient learning of deep networks from decentral- ized data,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Communication-efficient learning of deep networks from decentral- ized data,

Reference 25

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Source-reported events for the cited work

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Observation 76c9e357-36e1-434a-8ef6-edb8ea035fcd · outbound

This paper cites Federated optimization in heterogeneous networks,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Federated optimization in heterogeneous networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.459923Z

Source-reported events for the cited work

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Observation 77753d57-a722-49a5-bb8f-40566d229398 · outbound

This paper cites Unpaired image- to-image translation using cycle-consistent adversarial networks,.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Unpaired image- to-image translation using cycle-consistent adversarial networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:41:27.940036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 039e0234-68d2-4f9f-8b65-19064d5a1143 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T19:41:27.489422Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9772476e-6ac9-4f00-b38d-bfbf149f6102 · inbound

Multimodal Online Federated Learning with Modality Missing in Internet of Things cites this paper.

Multimodal Online Federated Learning with Modality Missing in Internet of Things ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:10:19.905376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.