Paper Citation Record · LEDGER

Federated Domain Generalization via Prompt Learning and Aggregation

As of 22 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2411.10063.

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

pith.paper-citation-record.v1
2411.10063 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:05:06.886010Z

measured 57 of 57 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:29:23.174070Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T05:29:23.483021Z

Reference resolution

56 of 56 outbound references displayed

verified exact2
verified fuzzy20
unresolved34
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59bfea05-9a44-4429-9dbc-0b601e60eb99 · outbound

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

Federated Domain Generalization via Prompt Learning and Aggregation Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Source-reported events for the cited work

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Observation 48aab3c7-18d7-4812-919d-d706bf2acb77 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Federated Domain Generalization via Prompt Learning and Aggregation Federated learning with differential privacy: Algorithms and performance analysis,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T20:05:06.648132Z

Source-reported events for the cited work

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Observation 9b582a3e-110a-4494-9eec-e92ece815206 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Federated Domain Generalization via Prompt Learning and Aggregation Federated optimization in heterogeneous networks,

Reference 3

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Source-reported events for the cited work

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Observation 92e183c5-19f7-47a2-abe2-c7ad14e0028b · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,.

Federated Domain Generalization via Prompt Learning and Aggregation Tackling the objective inconsistency problem in heterogeneous federated optimiza- tion,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:05:06.658340Z

Source-reported events for the cited work

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Observation 5afb9c8a-0a5a-466c-93d0-dcea504a251f · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Federated Domain Generalization via Prompt Learning and Aggregation Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 5

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Observation 2a39aed9-ebf0-4532-b30f-dde7c0fc7590 · outbound

This paper cites Harmofl: Harmonizing local and global drifts in federated learning on heterogeneous medical images,.

Federated Domain Generalization via Prompt Learning and Aggregation Harmofl: Harmonizing local and global drifts in federated learning on heterogeneous medical images,

Reference 6

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Source-reported events for the cited work

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Observation c766d9b7-309e-455a-aa68-7ab8ac4e608a · outbound

This paper cites Domain generalization for face anti-spoofing via negative data augmentation,.

Federated Domain Generalization via Prompt Learning and Aggregation Domain generalization for face anti-spoofing via negative data augmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.606512Z

Source-reported events for the cited work

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Observation dc992af1-d58c-482c-9bb8-9107403d9c97 · outbound

This paper cites Mixstyle neural networks for domain generalization and adaptation,.

Federated Domain Generalization via Prompt Learning and Aggregation Mixstyle neural networks for domain generalization and adaptation,

Reference 8

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Source-reported events for the cited work

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Observation b5b86c1a-c930-4a34-8ded-08d25f34297a · outbound

This paper cites Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,.

Federated Domain Generalization via Prompt Learning and Aggregation Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.581306Z

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Observation b7eedad5-446d-45e9-b630-fc0cd91aa85a · outbound

This paper cites Rethinking federated learning with domain shift: A prototype view,.

Federated Domain Generalization via Prompt Learning and Aggregation Rethinking federated learning with domain shift: A prototype view,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.566189Z

Source-reported events for the cited work

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Observation 7c7a9617-b51d-4f69-a16c-9d820c00956f · outbound

This paper cites Federated domain generaliza- tion for image recognition via cross-client style transfer,.

Federated Domain Generalization via Prompt Learning and Aggregation Federated domain generaliza- tion for image recognition via cross-client style transfer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.551040Z

Source-reported events for the cited work

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Observation 11ccaec2-215b-417f-b4d7-1e37f91b85d2 · outbound

This paper cites Federated Learning with Domain Generalization.

Federated Domain Generalization via Prompt Learning and Aggregation Federated Learning with Domain Generalization

Reference 12

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Source-reported events for the cited work

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Observation ef54af02-5f9b-4063-ad96-4f1523194be6 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Federated Domain Generalization via Prompt Learning and Aggregation Learning transferable visual models from natural language supervision,

Reference 13

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Source-reported events for the cited work

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Observation 0d035cca-c44a-44be-89d7-ed8bfaca9f62 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Federated Domain Generalization via Prompt Learning and Aggregation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 14

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Source-reported events for the cited work

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Observation 67ad6e20-badb-41f8-b3f3-ea1659cdf21b · outbound

This paper cites Learning to prompt for vision- language models,.

Federated Domain Generalization via Prompt Learning and Aggregation Learning to prompt for vision- language models,

Reference 15

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Observation e5b0eb45-aad4-44be-9cc8-e0f8aa79b925 · outbound

This paper cites Maple: Multi-modal prompt learning,.

Federated Domain Generalization via Prompt Learning and Aggregation Maple: Multi-modal prompt learning,

Reference 16

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Source-reported events for the cited work

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Observation 81a30472-30e1-4eeb-bf73-8431c5732559 · outbound

This paper cites Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,.

Federated Domain Generalization via Prompt Learning and Aggregation Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.498151Z

Source-reported events for the cited work

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Observation 0f9b68a8-e4e4-4cdd-b0d0-60bdd2877213 · outbound

This paper cites Learning federated visual prompt in null space for mri reconstruction,.

Federated Domain Generalization via Prompt Learning and Aggregation Learning federated visual prompt in null space for mri reconstruction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.482467Z

Source-reported events for the cited work

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Observation 977d1fa9-ea25-457f-a877-a2ea12048dd8 · outbound

This paper cites What do we mean by generalization in federated learning?.

Federated Domain Generalization via Prompt Learning and Aggregation What do we mean by generalization in federated learning?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.467732Z

Source-reported events for the cited work

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Observation 2454e1f0-f07c-4ff7-81aa-e2d3a400ae94 · outbound

This paper cites Model-contrastive federated learning,.

Federated Domain Generalization via Prompt Learning and Aggregation Model-contrastive federated learning,

Reference 20

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Observation 4a368d8a-98f6-480d-acd8-bfac75c3f874 · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

Federated Domain Generalization via Prompt Learning and Aggregation FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 21

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Observation 8d2f96f6-193f-4027-9e10-276b0693a6fc · outbound

This paper cites Adaptive Federated Optimization.

Federated Domain Generalization via Prompt Learning and Aggregation Adaptive Federated Optimization

Reference 22

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Observation 099af462-9162-402d-9ee5-203fd1076774 · outbound

This paper cites Madg: Margin-based adversarial learning for domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Madg: Margin-based adversarial learning for domain generalization,

Reference 23

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Observation f8b6e5ca-9fff-43ee-b15f-a02a0943d586 · outbound

This paper cites Diversifying spatial-temporal perception for video domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Diversifying spatial-temporal perception for video domain generalization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.429286Z

Source-reported events for the cited work

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Observation f35b9893-1e7f-4e6f-9178-f4e62e5701e1 · outbound

This paper cites Robust domain misinformation detection via multi-modal feature alignment,.

Federated Domain Generalization via Prompt Learning and Aggregation Robust domain misinformation detection via multi-modal feature alignment,

Reference 25

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Observation 319e8d39-9a55-4140-8f7c-f1b1c0de54b2 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Learning to generalize: Meta-learning for domain generalization,

Reference 26

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Source-reported events for the cited work

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Observation 7278acc7-abf6-43fe-90b5-696380b60741 · outbound

This paper cites Bi-level meta-learning for few-shot domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Bi-level meta-learning for few-shot domain generalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.390761Z

Source-reported events for the cited work

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Observation d1efb127-c7bc-46c5-8e16-2e9930d6f843 · outbound

This paper cites Federated Domain Generalization: A Survey.

Federated Domain Generalization via Prompt Learning and Aggregation Federated Domain Generalization: A Survey

Reference 28

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Observation 27ec94b7-23a3-4865-a490-ce6ec98a1913 · outbound

This paper cites Conditional prompt learning for vision-language models,.

Federated Domain Generalization via Prompt Learning and Aggregation Conditional prompt learning for vision-language models,

Reference 29

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Observation 734a6d15-a59a-49c9-abda-057389d6a4e9 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without 13 forgetting,.

Federated Domain Generalization via Prompt Learning and Aggregation Self-regulating prompts: Foundational model adaptation without 13 forgetting,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.367114Z

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Observation 64bce8b0-b894-4a58-8efa-2d8fdba11621 · outbound

This paper cites DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning.

Federated Domain Generalization via Prompt Learning and Aggregation DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:05:07.035714Z

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Observation b5676c67-dc2d-47e3-8125-65cc94b2cca3 · outbound

This paper cites Attention is all you need,.

Federated Domain Generalization via Prompt Learning and Aggregation Attention is all you need,

Reference 32

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Observation 7299f95c-2376-4ca8-bcb9-d5d79351f930 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Federated Domain Generalization via Prompt Learning and Aggregation An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 33

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Observation 35d22228-6443-4ebc-aae2-af97d89500b8 · outbound

This paper cites Simcls: A simple framework for contrastive learning of abstractive summarization,.

Federated Domain Generalization via Prompt Learning and Aggregation Simcls: A simple framework for contrastive learning of abstractive summarization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.335168Z

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Observation 08cf55a6-19cb-41d3-a5fb-4e3b01b84099 · outbound

This paper cites Visual prompt tuning,.

Federated Domain Generalization via Prompt Learning and Aggregation Visual prompt tuning,

Reference 35

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Observation 051e1676-02fb-4be3-9e88-2056e3b6d42b · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery,.

Federated Domain Generalization via Prompt Learning and Aggregation Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery,

Reference 36

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Observation 8a4ceab1-a1a1-48a8-a278-ea733edc62f0 · outbound

This paper cites Federated adaptive prompt tuning for multi-domain collaborative learning,.

Federated Domain Generalization via Prompt Learning and Aggregation Federated adaptive prompt tuning for multi-domain collaborative learning,

Reference 37

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Observation 2dc37cca-e287-4e91-84eb-3fd9a6bf5d2b · outbound

This paper cites On information and sufficiency,.

Federated Domain Generalization via Prompt Learning and Aggregation On information and sufficiency,

Reference 38

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Observation e437143c-5e28-49de-bb33-d21c6cdff6cb · outbound

This paper cites Revisiting knowledge distillation via label smoothing regularization,.

Federated Domain Generalization via Prompt Learning and Aggregation Revisiting knowledge distillation via label smoothing regularization,

Reference 39

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This paper cites Deep residual learning for image recognition,.

Federated Domain Generalization via Prompt Learning and Aggregation Deep residual learning for image recognition,

Reference 40

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Observation 14a5e749-2e92-49f6-b908-a670a937caa7 · outbound

This paper cites Deeper, broader and artier domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Deeper, broader and artier domain generalization,

Reference 41

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Source-reported events for the cited work

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Observation 79bd93d8-f25c-4b09-bdd3-d642354d3841 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

Federated Domain Generalization via Prompt Learning and Aggregation Deep hashing network for unsupervised domain adaptation,

Reference 42

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Source-reported events for the cited work

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Observation b4543764-1045-44e3-b1bc-59d68c91d381 · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,.

Federated Domain Generalization via Prompt Learning and Aggregation Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,

Reference 43

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Observation 4fc05618-76a6-41fd-921e-e925d86d496a · outbound

This paper cites Moment matching for multi-source domain adaptation,.

Federated Domain Generalization via Prompt Learning and Aggregation Moment matching for multi-source domain adaptation,

Reference 44

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Observation b887fa04-01f0-4457-af46-a6f7326eeb90 · outbound

This paper cites Federated domain generalization with generalization adjustment,.

Federated Domain Generalization via Prompt Learning and Aggregation Federated domain generalization with generalization adjustment,

Reference 45

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Observation ed9d7911-7fe8-46a5-9120-d6e614ed246b · outbound

This paper cites In search of lost domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation In search of lost domain generalization,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.201920Z

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Observation d1e9076b-62c1-4e39-93d7-7fde240bc98b · outbound

This paper cites Self-challenging im- proves cross-domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Self-challenging im- proves cross-domain generalization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.188026Z

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Observation d6db9517-5e41-471d-b8ac-9437b39d0b82 · outbound

This paper cites A fourier-based framework for domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation A fourier-based framework for domain generalization,

Reference 48

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This paper cites Swad: Domain generalization by seeking flat minima,.

Federated Domain Generalization via Prompt Learning and Aggregation Swad: Domain generalization by seeking flat minima,

Reference 49

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This paper cites Hcvp: Leveraging hierarchical contrastive visual prompt for domain generalization,.

Federated Domain Generalization via Prompt Learning and Aggregation Hcvp: Leveraging hierarchical contrastive visual prompt for domain generalization,

Reference 50

Resolution: verified exact; raw_fallback, observed 2026-08-12T20:05:07.012895Z

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Observation 50c4fef2-080d-4931-8abf-d58e992b8cd9 · outbound

This paper cites Prompt Vision Transformer for Domain Generalization.

Federated Domain Generalization via Prompt Learning and Aggregation Prompt Vision Transformer for Domain Generalization

Reference 51

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Observation 1a8fc1f9-4cf2-4f48-a717-cc48d17fc61d · outbound

This paper cites Fedsr: A simple and effective domain generalization method for federated learning,.

Federated Domain Generalization via Prompt Learning and Aggregation Fedsr: A simple and effective domain generalization method for federated learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.155017Z

Source-reported events for the cited work

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Observation ab652d0f-f7c9-40cc-82dc-ceaa1cd61c2e · outbound

This paper cites Fedclip: Fast generalization and personalization for clip in federated learning,.

Federated Domain Generalization via Prompt Learning and Aggregation Fedclip: Fast generalization and personalization for clip in federated learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:05:07.140562Z

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Observation 5627f871-589c-41f3-a901-0e441dd945be · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning,.

Federated Domain Generalization via Prompt Learning and Aggregation Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 54

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Observation 9e3b50bf-8b73-4fce-a703-d9b89fed0db5 · outbound

This paper cites Visualizing data using t-sne.

Federated Domain Generalization via Prompt Learning and Aggregation Visualizing data using t-sne

Reference 55

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This paper cites Learning deep features for discriminative localization,.

Federated Domain Generalization via Prompt Learning and Aggregation Learning deep features for discriminative localization,

Reference 56

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Pith citing papers

Observation f0d27e01-640e-45b3-8049-d025c705a613 · inbound

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization cites this paper.

Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Federated Domain Generalization via Prompt Learning and Aggregation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:29:23.489508Z

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.