Paper Citation Record · LEDGER

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.05294.

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

pith.paper-citation-record.v1
2402.05294 v1

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:20:30.364165Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:57:41.913050Z

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 9399627c-76d6-4495-a78a-c4c340cdefce · inbound

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

Deep Multimodal Learning with Missing Modality: A Survey Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:26:03.909084Z

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 09aae808-68d5-4add-b946-25dae96b698c · inbound

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning cites this paper.

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T12:20:30.364165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cf4351-d15c-47ff-ba5f-e9e1234f15a5 · inbound

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

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:08.436946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 934e7e09-0d2b-41b5-9e3d-cee5575f9f82 · inbound

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport cites this paper.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:36.095018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f2dd53-97d1-4933-9acc-39fc32fbcd69 · 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 Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:57:41.934734Z

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.