Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.06633.

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

pith.paper-citation-record.v1
2607.06633 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T00:54:18.897346Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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 exact1
verified fuzzy24
unresolved4
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c6919a2-667c-4d21-ba6b-922482909b03 · outbound

This paper cites Nature Medicine28(9), 1773–1784 (2022).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Nature Medicine28(9), 1773–1784 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.518532Z

Source-reported events for the cited work

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Observation 655cd48c-e86e-4b9a-ba2e-3f7d8451697c · outbound

This paper cites J Med Internet Res26, e59505 (Sep 2024).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities J Med Internet Res26, e59505 (Sep 2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.791900Z

Source-reported events for the cited work

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Observation 4c65bbae-c929-4396-b2c9-a11709f43ac3 · outbound

This paper cites In: ICML (2024).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: ICML (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.767694Z

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Observation 0c58ba19-3057-4393-ad33-0a590ac687ea · outbound

This paper cites Medical Image Anal- ysis66, 101797 (2020).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Medical Image Anal- ysis66, 101797 (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.905853Z

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Observation 4f88ce51-09d1-4a1f-a090-bf2edb041acd · outbound

This paper cites Computerized medical imaging and graphics : the official journal of the Com- puterized Medical Imaging Society113, 102342 (2024).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Computerized medical imaging and graphics : the official journal of the Com- puterized Medical Imaging Society113, 102342 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.571609Z

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Observation 440564aa-e003-477c-9034-abb0b6ccaefd · outbound

This paper cites an unresolved cited work.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-11T00:57:43.671974Z

Source-reported events for the cited work

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Observation 2153c624-3e35-4845-965e-8d5b90277744 · outbound

This paper cites arXiv preprint arXiv:2602.04416 (2026).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities arXiv preprint arXiv:2602.04416 (2026)

Reference 7

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Observation 6274217c-077e-44b9-a492-b6e78a199c03 · outbound

This paper cites In: ICCV (2025).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: ICCV (2025)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.633524Z

Source-reported events for the cited work

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Observation 7544b8f3-f622-44c1-90bd-8c7fbd29ff26 · outbound

This paper cites Journal of the American Medical Informatics Association23(2), 304–310 (2016).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Journal of the American Medical Informatics Association23(2), 304–310 (2016)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.654981Z

Source-reported events for the cited work

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Observation bd583b77-e3a7-40f6-9841-8bf54190f078 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:57:41.960552Z

Source-reported events for the cited work

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Observation 701afe5c-ecfc-45ac-95cf-f90c0efd4627 · outbound

This paper cites Circulation [Online]101(23), e215–e220 (2000).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Circulation [Online]101(23), e215–e220 (2000)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.817129Z

Source-reported events for the cited work

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Observation fd420051-0e75-476c-8cec-50efccc5b5b5 · outbound

This paper cites In: CVPR.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: CVPR

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.838465Z

Source-reported events for the cited work

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Observation e73edc13-aee9-43b5-b392-4808a8e780ce · outbound

This paper cites In: AAAI (2019).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: AAAI (2019)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.489257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4205b57f-d44b-4e90-8c6c-06c12fcafbd8 · outbound

This paper cites Scientific data6(1), 317 (2019).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Scientific data6(1), 317 (2019)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.700304Z

Source-reported events for the cited work

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Observation f2d033e0-3659-411f-9231-64e2a6d7c955 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Adam: A Method for Stochastic Optimization

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:57:41.984426Z

Source-reported events for the cited work

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Observation d51dc024-0f67-483e-8b3f-771c5e0675e2 · outbound

This paper cites A unified representation network for segmentation with missing modalities.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities A unified representation network for segmentation with missing modalities

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:57:42.033322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 380d26c2-d23a-4711-b85a-27bcea4db30f · outbound

This paper cites Information Fusion122, 103219 (2025).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Information Fusion122, 103219 (2025)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.791883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00d7ec9f-7cc8-4048-b8d6-76acf3560c91 · outbound

This paper cites In: CHIL (2024).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: CHIL (2024)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.871138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 975e875c-2be9-4279-91b1-c4659ebdf699 · outbound

This paper cites In: CVPR (2021).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: CVPR (2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.456967Z

Source-reported events for the cited work

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Observation 2fe43416-0d47-43c3-b386-3a1451b26903 · outbound

This paper cites In: AAAI (2021).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: AAAI (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.856964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17fb85a3-2af5-459f-afa0-ab089b85a94f · outbound

This paper cites In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.189946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8df897a-d94b-4a91-8ec6-c5735d863bae · outbound

This paper cites In: MIUA (2025).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: MIUA (2025)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.274035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14fa4603-d4be-4b51-95fd-8bef99a9ed9e · outbound

This paper cites In: MICCAI (2024).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: MICCAI (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.882506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4428897e-41ae-4a2a-815c-60786e55de39 · outbound

This paper cites an unresolved cited work.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-07-11T00:57:43.591709Z

Source-reported events for the cited work

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Observation 54bf9ff7-80b5-4eb1-a63b-70c5431ad4fd · outbound

This paper cites SN Computer Science4, 1–12 (2023).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities SN Computer Science4, 1–12 (2023)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.732618Z

Source-reported events for the cited work

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Observation a9f2dd53-97d1-4933-9acc-39fc32fbcd69 · outbound

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

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

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Observation 570a3418-6f2b-453d-945e-93334eb861d4 · outbound

This paper cites AAAI39(27), 28331–28339 (Apr 2025).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities AAAI39(27), 28331–28339 (Apr 2025)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.543007Z

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Observation 74c3c8d4-1305-4911-89c6-46af128d4ee4 · outbound

This paper cites an unresolved cited work.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Unresolved cited work

Reference 28

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This paper cites Medical Vision Language Pretraining: A survey.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Medical Vision Language Pretraining: A survey

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T00:57:42.010550Z

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Observation 68835afd-d2bc-4edb-8766-740391916406 · outbound

This paper cites In: ECCV.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: ECCV

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.845432Z

Source-reported events for the cited work

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

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

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

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Observation 3d838361-be37-4a5c-b5e6-cb507a8ba1f8 · outbound

This paper cites In: CVPR (2024).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: CVPR (2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.543563Z

Source-reported events for the cited work

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Observation 0b03d71a-1562-4685-bf98-0f5d212f03e5 · outbound

This paper cites an unresolved cited work.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-07-11T00:57:43.658308Z

Source-reported events for the cited work

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Observation 47105b78-4086-4496-886c-25f9646120d8 · outbound

This paper cites In: ICLR (2023).

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: ICLR (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.818553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad4e685d-7117-4dbb-a964-203b127b84b6 · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T00:57:43.631146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.