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Paper Citation Record · LEDGER

Boosting Multimodal Federated Learning via Chained Modality Optimization

As of 6 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.01856.

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

pith.paper-citation-record.v1
2606.01856 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T12:50:41.988694Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

21 of 21 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c5bdb4a-0d27-42a1-8e51-bcaf40d4373c · outbound

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

Boosting Multimodal Federated Learning via Chained Modality Optimization Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.114476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:9487bbcc9b1c571a552fb040f675b8c739be33e535ef22e6b1eab03479d0a4bf

Observation 0dd280a6-d5bb-4e5b-b324-02c9a844ecda · outbound

This paper cites Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.

Boosting Multimodal Federated Learning via Chained Modality Optimization Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Reference 2

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metadata mismatch
arxiv_id, observed 2026-07-02T01:06:24.111732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:9cfc8a3ea90ffd16f1999e20b77c29993be434e7516d73eedea0fe83593de32e

Observation 58911b0e-06a6-4dc2-9501-b6a7d47c9b03 · outbound

This paper cites Small-footprint keyword spotting using deep neural networks.

Boosting Multimodal Federated Learning via Chained Modality Optimization Small-footprint keyword spotting using deep neural networks

Reference 3

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malformed identifier
doi_truncated, observed 2026-06-28T12:52:10.552061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:66272944b4a2dc311e72f61ec6d2978683e5bb25e4f5bfcc3f09b5d40ed90112

Observation 09cdad3c-bdb9-4230-a3f6-edf52a04925a · outbound

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

Boosting Multimodal Federated Learning via Chained Modality Optimization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-02T01:06:24.105534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:a0d7543a66fe44f23d28d4590160f96343ed3c4ba64d44e33adc2db71d3516a7

Observation fb270285-2824-4c5b-b58c-0e8a21d8c53b · outbound

This paper cites Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection.

Boosting Multimodal Federated Learning via Chained Modality Optimization Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.094027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:b29634ba78f04af4d7e77a9617bb8cb38e8cb05fe3649eeca37d1cca80f468a7

Observation 461c67e3-133b-411b-9cb0-05af0aca55a9 · outbound

This paper cites Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations.

Boosting Multimodal Federated Learning via Chained Modality Optimization Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.116752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:505b290bad6d4b1400ef0053045089884b7e5f91e95cfac2324d9b819995644c

Observation 4a451800-e1f6-4183-8c96-9a1ed9401b99 · outbound

This paper cites ReconBoost: Boosting Can Achieve Modality Reconcilement.

Boosting Multimodal Federated Learning via Chained Modality Optimization ReconBoost: Boosting Can Achieve Modality Reconcilement

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.069425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:3bc4f68011d1b0e42704159ce3f2dc3748bc987d4949b7d74398f37867c84e43

Observation 643cc06f-553f-4558-8bb6-ac5d9ecacc94 · outbound

This paper cites Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).

Boosting Multimodal Federated Learning via Chained Modality Optimization Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:06:24.119228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:de91a9afc8288bbd4b997c70dad0052976a4907a477a162cbeb5e6d0f648ff8d

Observation e814cdc1-bb0b-4955-bf43-635b72ee8b56 · outbound

This paper cites Jiang, Q.-Y ., Chi, Z., and Yang, Y.

Boosting Multimodal Federated Learning via Chained Modality Optimization Jiang, Q.-Y ., Chi, Z., and Yang, Y

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.103768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:6c485215bd2b065699ff9cb8c849d9eb6f12cc689d83b4e59190ca58e9029bc5

Observation 00fe2a20-6afb-46e1-a902-7f020ae1b02b · outbound

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

Boosting Multimodal Federated Learning via Chained Modality Optimization Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.092214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:24d76ecca3d1c764578497321bb43f877a5e94911ff0af1c3dc2d81ccdc4865a

Observation 8d4b5929-d03d-42c2-bee4-a6cd12a1c728 · outbound

This paper cites Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities.

Boosting Multimodal Federated Learning via Chained Modality Optimization Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.114277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:01e4270f957cf6880a2e2003bf523aabfe62df98fd978cda1cc05e6c107c5f6d

Observation ac0c8624-b5c4-48a6-8396-6e64a8cf38e6 · outbound

This paper cites Balanced Multimodal Learning via On-the-fly Gradient Modulation.

Boosting Multimodal Federated Learning via Chained Modality Optimization Balanced Multimodal Learning via On-the-fly Gradient Modulation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.111423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:0f8d77c6159ebcc2d37d388d5fa7710151e21b837bace255143997d7fc409a43

Observation 810bf49a-f9f7-4b86-8ede-3cdb24bcf79f · outbound

This paper cites arXiv preprint arXiv:2506.11024 , year=.

Boosting Multimodal Federated Learning via Chained Modality Optimization arXiv preprint arXiv:2506.11024 , year=

Reference 13

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verified exact
arxiv_id, observed 2026-07-02T01:06:24.103180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:5d088e4ea8a3d3d6dec4468df0841f74a5469d49b18016a58f25ebddf85b21ce

Observation 1af8dc1b-cf35-4ca3-8554-cd9f17da91e3 · outbound

This paper cites Local SGD Converges Fast and Communicates Little.

Boosting Multimodal Federated Learning via Chained Modality Optimization Local SGD Converges Fast and Communicates Little

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T01:06:24.080528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:24f4f03f0f6aad66b560c97bb1e924293a1f3ba2483e9b102f5216c7a358edf7

Observation e43feba9-24d4-449b-887a-9397d361744d · outbound

This paper cites MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance.

Boosting Multimodal Federated Learning via Chained Modality Optimization MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.078063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:0810f3f15a997cd2a6bb1ee7ae741d0f8b16bfc178fd0c8193a31bcb6f0f044e

Observation 49e1995e-4530-4ac3-82f4-66c8bd7640d9 · outbound

This paper cites Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning.

Boosting Multimodal Federated Learning via Chained Modality Optimization Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T01:06:24.109074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:f19ff09f63e1df80268e15b4e3f3f3bf395661a21359f54f88e4b0e78e23b2f3

Observation d2942e3f-39e3-4f14-ae70-17e151c9686d · outbound

This paper cites FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication.

Boosting Multimodal Federated Learning via Chained Modality Optimization FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication

Reference 17

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verified exact
arxiv_id, observed 2026-07-02T01:06:24.083874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:015d4bd804e9a6ce5c19e95871ddaa3e5c0b27b0ee0bf8b9d78a15b506e67933

Observation 43d1f0d3-b7a1-4444-a4e6-ca82594280dd · outbound

This paper cites Open-Vocabulary Federated Learning with Multimodal Prototyping.

Boosting Multimodal Federated Learning via Chained Modality Optimization Open-Vocabulary Federated Learning with Multimodal Prototyping

Reference 18

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verified exact
arxiv_id, observed 2026-07-02T01:06:24.101267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:23db330b79e7ae250069be60de479ac4c21f500454bd690397a8dd48195f7995

Observation e5a8fd1b-5b5e-4f05-8bf4-4aff2b4fc51f · outbound

This paper cites Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation.

Boosting Multimodal Federated Learning via Chained Modality Optimization Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.108545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:aa917892cfe0479fce8889b749db752016beb4126ffc50f379d94e1ea8dffec0

Observation b498468b-ebce-4f91-919a-e8597ac75173 · outbound

This paper cites reference signals.

Boosting Multimodal Federated Learning via Chained Modality Optimization reference signals

Reference 20

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malformed identifier
arxiv_id, observed 2026-07-02T01:06:24.097321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:7f515a54f3b6b36cf459fffa2b5e9ab182bdf9750a8fdfa43978b0ad7c3dd515

Observation 44e46ea4-af98-4689-bd00-c3c98123fca0 · outbound

This paper cites round-start ideal.

Boosting Multimodal Federated Learning via Chained Modality Optimization round-start ideal

Reference 21

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no resolver link, observed 2026-06-28T12:50:41.988694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:50:41.988694Z digest=sha256:ba588b25b4839cce2e3de15e56c6c7cfb939f1d8c9c7a713c3922524bab3e0e8

Pith citing papers

No inbound Pith citation observations are available.