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Paper Citation Record · LEDGER

Multimodal Federated Learning in Healthcare: a Review

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.09650.

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

pith.paper-citation-record.v1
2310.09650 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:27.340883Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:57:41.863848Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:41:27.340883Z digest=sha256:43d796ab9928fd52751fb8919fb56d61b761a37897080bc508454393010794de

Observation e75c1c17-b79e-4977-b832-a12ab9107a46 · inbound

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network cites this paper.

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network Multimodal Federated Learning in Healthcare: a Review

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:08.724849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:08.724849Z digest=sha256:bb7cc4aeaea333323488e46dbda1465a130f0b6d0d201e89069fdb065805703a

Observation f6b26f92-1fa4-476c-9aac-d4cd57882e0a · inbound

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms cites this paper.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Multimodal Federated Learning in Healthcare: a Review

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:15.197635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:15.197635Z digest=sha256:6fbd8785975e605ff90a85e77c14075e82c52b2d55ac120bc977cda2b963f67d

Observation 40ec1393-d139-40ba-8730-3b5f6dca4181 · inbound

Federated Foundation Model for GI Endoscopy Images cites this paper.

Federated Foundation Model for GI Endoscopy Images Multimodal Federated Learning in Healthcare: a Review

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:39:18.745205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:18.745205Z digest=sha256:46cdebed604bd96506373ce0e3459775325461c6772d9f63ce9562fcdfe33720

Observation cb38fd12-487a-4e46-aecd-d7c5d31ef031 · inbound

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities cites this paper.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Multimodal Federated Learning in Healthcare: a Review

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:57:41.888126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-11T00:54:18.897346Z digest=sha256:eeaabcf6dacfe76354191385a79a237c346dad8124ee796e952dd43ba88c3c2d