Paper Citation Record · LEDGER

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models

As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2501.13904.

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

pith.paper-citation-record.v1
2501.13904 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:35:30.704579Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:08.809812Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:14:10.135600Z

Reference resolution

57 of 57 outbound references displayed

verified exact2
verified fuzzy26
unresolved29
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8b0c38c-a312-4581-9650-0d6d2e30275c · outbound

This paper cites write newline.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.310588Z

Source-reported events for the cited work

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Observation 4ef3f707-d469-489d-861a-e37faf75fb96 · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.732218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af6ac63d-9843-42d8-82a8-1ced34bac69d · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.323114Z

Source-reported events for the cited work

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Observation 6bd00aba-e259-4fd9-9d63-8c7e29e4da4d · outbound

This paper cites Local differential privacy for deep learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Local differential privacy for deep learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.714793Z

Source-reported events for the cited work

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Observation e9fbf7df-afe0-4950-ba22-932f2bdd748d · outbound

This paper cites Federated Learning with Personalization Layers.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Federated Learning with Personalization Layers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.334100Z

Source-reported events for the cited work

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Observation 031aa7b6-8a6d-452f-92b9-7f94e1e40664 · outbound

This paper cites Towards federated unsupervised representation learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Towards federated unsupervised representation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.697948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25542b0b-fdb8-4dcd-b121-02ef77395b72 · outbound

This paper cites LoRA Learns Less and Forgets Less.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models LoRA Learns Less and Forgets Less

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.345365Z

Source-reported events for the cited work

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Observation e2a28872-c45c-42bc-8620-292874456f32 · outbound

This paper cites Personalization improves privacy-accuracy tradeoffs in federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Personalization improves privacy-accuracy tradeoffs in federated learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.680515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bb9328e-cdbe-48db-a2f3-d7292733d45e · outbound

This paper cites Food-101 -- mining discriminative components with random forests.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Food-101 -- mining discriminative components with random forests

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.356421Z

Source-reported events for the cited work

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Observation 634398a5-57f1-4770-b31b-6200dc46efeb · outbound

This paper cites Exploiting shared representations for personalized federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Exploiting shared representations for personalized federated learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.654720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04af6e1f-22cc-438a-9e99-5b3f9e7c9c85 · outbound

This paper cites Harmonizing generalization and personalization in federated prompt learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Harmonizing generalization and personalization in federated prompt learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.638800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31229f32-fcba-4403-85dd-bcf172737898 · outbound

This paper cites Unlocking the potential of prompt-tuning in bridging generalized and personalized federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Unlocking the potential of prompt-tuning in bridging generalized and personalized federated learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.622347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74fe04b6-e635-4d6a-9f65-304210629ef9 · outbound

This paper cites Adaptive Personalized Federated Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Adaptive Personalized Federated Learning

Reference 13

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Source-reported events for the cited work

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Observation 1f7f6c8a-5efc-4806-ab44-ab5c0dc64fff · outbound

This paper cites Personalized federated learning with moreau envelopes.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Personalized federated learning with moreau envelopes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.603681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efa7fd54-d9e8-4912-ad23-36ff1b1c4878 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Source-reported events for the cited work

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Observation 6a9029d4-dc3f-4c14-b0e6-b19dbf736521 · outbound

This paper cites The algorithmic foundations of differential privacy.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models The algorithmic foundations of differential privacy

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.392425Z

Source-reported events for the cited work

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Observation 78ae8f34-8fd7-474d-be97-a5bbe8266a14 · outbound

This paper cites Robust federated learning with noisy and heterogeneous clients.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Robust federated learning with noisy and heterogeneous clients

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.572072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0d61a59-a290-4551-874f-870ad6fc79a2 · outbound

This paper cites Fergus, and P.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Fergus, and P

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.555099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e226477-a1d7-44fd-b022-0425b485b9bc · outbound

This paper cites An efficient framework for clustered federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models An efficient framework for clustered federated learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.539647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eddd34ac-93fa-4005-aadf-3ec15d3a8328 · outbound

This paper cites Pfedprompt: Learning personalized prompt for vision-language models in federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Pfedprompt: Learning personalized prompt for vision-language models in federated learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.522887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae2c3da5-e2ee-4b83-8e1a-39012086e052 · outbound

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

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.507600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78bbaa34-6a9d-44ab-bdf0-cc20426d0712 · outbound

This paper cites Group knowledge transfer: Federated learning of large cnns at the edge.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Group knowledge transfer: Federated learning of large cnns at the edge

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.492196Z

Source-reported events for the cited work

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Observation 8ae8f604-354e-4810-add2-7ffaf073d1c9 · outbound

This paper cites Deep residual learning for image recognition.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Deep residual learning for image recognition

Reference 23

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Observation e55290da-532b-4446-803e-6f7f59e2701c · outbound

This paper cites Private Multi-Task Learning: Formulation and Applications to Federated Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Private Multi-Task Learning: Formulation and Applications to Federated Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:31.109704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05351640-1650-431e-b302-40da83dac60c · outbound

This paper cites Prompt Backdoors in Visual Prompt Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Prompt Backdoors in Visual Prompt Learning

Reference 25

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Observation d302d436-0d75-4682-a7c4-a913774edc16 · outbound

This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.440556Z

Source-reported events for the cited work

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Observation 6f41c715-cd60-4b73-99a6-339ac4dc8321 · outbound

This paper cites Differentially private model personalization.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Differentially private model personalization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.466511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb0aae44-af93-4b6a-b98c-c65ae517d6f3 · outbound

This paper cites Factorized-fl: Personalized federated learning with parameter factorization & similarity matching.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Factorized-fl: Personalized federated learning with parameter factorization & similarity matching

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.447333Z

Source-reported events for the cited work

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Observation e0b17dc3-0082-497f-9810-3dfda8ad50e8 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Federated Learning: Strategies for Improving Communication Efficiency

Reference 29

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Observation cc62eac8-6de0-401a-9fcf-2752c9fb70a7 · outbound

This paper cites Learning multiple layers of features from tiny images.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Learning multiple layers of features from tiny images

Reference 30

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Source-reported events for the cited work

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Observation ac89da33-173a-407a-878f-5b54b9ea53e3 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models FedMD: Heterogenous Federated Learning via Model Distillation

Reference 31

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Observation cc2c430d-68cc-484c-a824-3b666e582e6b · outbound

This paper cites Visual Prompt Based Personalized Federated Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Visual Prompt Based Personalized Federated Learning

Reference 32

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Observation 5dc2ffde-bd73-44e9-b227-2f8a6fd70c51 · outbound

This paper cites Global and Local Prompts Cooperation via Optimal Transport for Federated Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Global and Local Prompts Cooperation via Optimal Transport for Federated Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.475131Z

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Observation 6fc626a3-6ce8-4f5e-9302-206263a1d33e · outbound

This paper cites Federated optimization in heterogeneous networks.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Federated optimization in heterogeneous networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.417674Z

Source-reported events for the cited work

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Observation d01dba73-897b-46b4-8f7f-26104b7b3ea9 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.484789Z

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Observation 30be0007-c4a5-4435-9000-6df09ae9f689 · outbound

This paper cites Automated flower classification over a large number of classes.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Automated flower classification over a large number of classes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.400679Z

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Observation ae71fe38-228c-46af-bf8a-782cd00520ee · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Unresolved cited work

Reference 37

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Observation 3239197a-f448-4c9b-96c5-6cf395f4ab62 · outbound

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

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Learning transferable visual models from natural language supervision

Reference 38

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Observation d6847343-df6c-4af3-9277-da985ba3f05c · outbound

This paper cites Communication Efficiency in Federated Learning: Achievements and Challenges.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Communication Efficiency in Federated Learning: Achievements and Challenges

Reference 39

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Observation 77b57ca6-0229-42c6-b76d-0850bd1f5b0f · outbound

This paper cites Overcoming Forgetting in Federated Learning on Non-IID Data.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Overcoming Forgetting in Federated Learning on Non-IID Data

Reference 40

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Observation ed22e5d2-fd01-4adf-9e33-ecdd6cbbf2cf · outbound

This paper cites Membership inference attacks against machine learning models.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Membership inference attacks against machine learning models

Reference 41

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Observation 1564b9b7-5fad-4829-bfb5-053956285e36 · outbound

This paper cites Fedperfix: Towards partial model personalization of vision transformers in federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Fedperfix: Towards partial model personalization of vision transformers in federated learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.344462Z

Source-reported events for the cited work

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Observation 2d4e400a-45a5-4e0e-9885-2dd8353c68d0 · outbound

This paper cites Improving LoRA in Privacy-preserving Federated Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Improving LoRA in Privacy-preserving Federated Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.636528Z

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Observation e18b9e04-c628-4e02-9ede-a02b8d9cf977 · outbound

This paper cites Bounding Membership Inference.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Bounding Membership Inference

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:30.926603Z

Source-reported events for the cited work

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Observation 7488d5e3-e3b5-493f-9a51-f1193c7f06f0 · outbound

This paper cites Quantifying Privacy Risks of Prompts in Visual Prompt Learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Quantifying Privacy Risks of Prompts in Visual Prompt Learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.328631Z

Source-reported events for the cited work

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Observation df1c34de-b181-4750-b8ee-9c45eedf809a · outbound

This paper cites DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.651284Z

Source-reported events for the cited work

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Observation b8b21adc-5251-4cca-85cb-26b3cb1bb630 · outbound

This paper cites Efficient model personalization in federated learning via client-specific prompt generation.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Efficient model personalization in federated learning via client-specific prompt generation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.312288Z

Source-reported events for the cited work

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Observation dcaf662d-8899-4735-8b0b-0f36615b5d5a · outbound

This paper cites Dynamic personalized federated learning with adaptive differential privacy.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Dynamic personalized federated learning with adaptive differential privacy

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.294511Z

Source-reported events for the cited work

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Observation bb951d2d-8ef1-44b3-8ee4-66bc7175e55a · outbound

This paper cites Promptcare: Prompt copyright protection by watermark injection and verification.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Promptcare: Prompt copyright protection by watermark injection and verification

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.277995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b386ffb-4498-41c6-948a-28c09d8f56a2 · outbound

This paper cites Large scale private learning via low-rank reparametrization.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Large scale private learning via low-rank reparametrization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.262062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95c4e6a8-97fc-4db2-99e1-11728648c9da · outbound

This paper cites Fedcp: Separating feature information for personalized federated learning via conditional policy.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Fedcp: Separating feature information for personalized federated learning via conditional policy

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.245868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58e38d5d-ccdf-4636-ba10-8c256fe7f914 · outbound

This paper cites Personalized Federated Learning with First Order Model Optimization.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Personalized Federated Learning with First Order Model Optimization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.679612Z

Source-reported events for the cited work

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Observation f1653d2d-1db3-4f39-812e-3bfc5d92a110 · outbound

This paper cites Fedprompt: Communication-efficient and privacy-preserving prompt tuning in federated learning.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Fedprompt: Communication-efficient and privacy-preserving prompt tuning in federated learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:31.231289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf23d9e6-7a2a-4216-a462-0898824d105a · outbound

This paper cites Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.688910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf06ecdc-b45d-4bb3-ae75-1110527d17db · outbound

This paper cites @esa (Ref.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models @esa (Ref

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.694530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afbe1d83-cfb8-47fe-afc3-d362a73638ad · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.699806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a7a81a-35da-485e-9928-eae363b1863d · outbound

This paper cites i dND[p k nx 1 o V: hcfq _z 삐.V :к\ T KG A ]r.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models *i dND[p k n*x *1 o V: hcfq _z 삐.V :к\ T *KG A ]r

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:30.704579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8875ad46-2adf-4fbc-b670-a2847c830916 · inbound

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models cites this paper.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:14:10.166069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.