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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2505.22447.

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

pith.paper-citation-record.v1
2505.22447 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:09.861813Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:33:05.032359Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved67
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23768ee9-339f-4e0b-8bee-edef63e9c8f4 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:01.465451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:01.465451Z digest=sha256:c0ccff6ead01d9f49d71ae9410b44c9cee9447af853124066346938482a5d98b

Observation 3ceca1b5-fdf6-4df0-af1c-9b4d7b31d92f · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:19.371016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:01.532675Z digest=sha256:ec30365f3efac659d450dcb79ecd0d0fc8a9c403925a653208fb0c54eb9d6a5b

Observation 5df820ef-6d08-4e09-9f7d-085447a07a5f · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:01.605740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:01.605740Z digest=sha256:1b96009370d100295f2d2c0617277c8f79bb9054bbc8f35acf2588905252b790

Observation 06fdcade-20c0-458c-b433-d476bd5f422b · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:19.219810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:01.705053Z digest=sha256:af2c8f988aa022be02759ee4b335c8f2d75f12d9c8a2a0fb7ec7a355ddc2cf64

Observation 6d86a4a4-209b-4903-9985-9215063b370d · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:19.101846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:01.772578Z digest=sha256:08bb553f344dab702ad55b038f915e5ba04221a5aebdf04f9e30b3ab5f902d58

Observation b59125f8-e08a-417b-a97e-b4bf184fc76f · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unleashing the potential of prompt engineering for large language models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:02.046420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:02.046420Z digest=sha256:75d0f0f769af486be74c8ab70b600bf8e1e0cc5fc49a9e433cc7005dcd7eb4e3

Observation 13a04e15-5dc7-48c6-ab9d-1c457fa1fb05 · outbound

This paper cites Cimpoi, S.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Cimpoi, S

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:14:18.827597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:02.195421Z digest=sha256:8472bf1fea866646c6f20ac00014b1d032c48ad74692fe2178b79cc086295e97

Observation f7d36dff-7bf3-44b3-a5ac-12ade050d3c4 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:18.668850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:02.379680Z digest=sha256:b1098dbd47e288e4a9398dab0c4e783170f07e8ecc42940e48d0b13d4d017211

Observation 263998b1-ba03-4122-b1af-19494c4ef319 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:18.479816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:02.562435Z digest=sha256:fab3afddb48459249f55e4b285319ab11125cff2f3aabfd494ce713ee4c4f15f

Observation 92928acd-a95b-4c6e-a86f-b0089dc1165d · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:02.734114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:02.734114Z digest=sha256:6c744de62e3cf640672d82af77bb51a7b9b06a478b3d6849e7519b092ed6c79d

Observation e31953d4-dae1-4453-959b-03410bfc567c · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:18.304502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:02.832085Z digest=sha256:dc5b9f22d15deab80136b6745878399a65023eefe56f4610a32720de264915db

Observation bb31db1f-7ad6-434a-a8c8-75902635a7ee · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:18.157654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:02.997945Z digest=sha256:635fd5bc873ff0fbce84bb033a6f2aa8e423236622d23c5e1ec0dabe623906e8

Observation 1f333051-7961-40a2-90f0-4b35783e7988 · outbound

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

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

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:03.122834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:03.122834Z digest=sha256:a4e136683022a936a1c565194773d11c40e49c6f739a7778b76ec0361dc25752

Observation 52a26ba0-26f3-4744-a662-d2120ea4b8d5 · outbound

This paper cites SoK: On Gradient Leakage in Federated Learning.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models SoK: On Gradient Leakage in Federated Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:03.295491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:03.295491Z digest=sha256:e2fcb31114f22578c0ee9e3d0a51277207287c6a4bc676ddf5dceb99fbb4ddeb

Observation 5173c764-eec9-4ee1-bbcb-ff8ba6745a01 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:18.012975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:03.460113Z digest=sha256:a91f6ee102305a1a4b3fc8493af9f1245b46d6a1903ee53a50438ac808de87ab

Observation 65a11336-2a9a-405d-acb7-43d1ba19365f · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:03.603881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:03.603881Z digest=sha256:b36628a0f05f6dc4b91f6a997e32718fc57df701849213bc0bbadc3fdf561e85

Observation b6cd456b-0cfe-421d-b071-869749bcdd0b · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:17.859562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:03.699567Z digest=sha256:ecfcf3e24d0a40993e6c4bad18ceaf087f857d75f60f34fa1de77f041b348048

Observation 90a34a9e-ebef-4a16-8e84-6c40f8502a3f · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:17.732435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:03.763580Z digest=sha256:561281f4b8ffc6b82adbf7c4aa70e5e7ba90a255e999a6ecf18d613a0d1b413b

Observation 235b9c77-874f-4b27-bbc3-dc47b06daecd · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:17.576519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:03.873401Z digest=sha256:176817f95bbdb09427f6bb3e3aa78f0c00b8d09d485a364a5a801aecd1623946

Observation cb079e01-df21-49ad-b97b-19eff754fdfc · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:03.989840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:03.989840Z digest=sha256:8f278e9c89722b2d8a2e7254738e2cc297c9004622a9bc3702362cbc187a5e8f

Observation d060f4f6-c32a-45f1-a605-58f0e1d20e0b · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:04.333639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:04.333639Z digest=sha256:e5a9b77ca9ee63313be1795b5e23d5741693d374eb4ebee9ae003374667744ef

Observation a39a7993-685f-4f20-a066-89282bfab337 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:17.470950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:04.438306Z digest=sha256:3de1e23f4e211543c1c0ca82c90d3b02c633b2ad3e5cb78975fa7e3e23a0f566

Observation 9234d3cc-c4c1-4ce1-a65e-f6b575f6b90a · outbound

This paper cites PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:04.561633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:04.561633Z digest=sha256:4510a61a90eb8a2b4592fcf17789456795d9e4b13314cbcd743136d85c113eba

Observation d2b93128-82e5-48e5-b9c1-17a66e8e3216 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:17.354540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:04.741725Z digest=sha256:e0f34fd23265f784cf5a743b05cbdf6df91c7a72b2dbce9ab4dda54d6b0800c9

Observation 2d15c8bb-e5e6-4237-a44c-3ef021f83669 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:17.194700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:04.902677Z digest=sha256:9688f956e21c8353d7736672b0bc727fac269fe5ff0c178e3c593a6d51dbc012

Observation 1cec88a6-2f0e-479a-b2ac-8244b2628599 · outbound

This paper cites Kedlaya and Christopher Umans.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Kedlaya and Christopher Umans

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:14:17.047124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:05.050936Z digest=sha256:aa42185e693810c0186a70017d564936bf5d22bbe27ed8e1a96443c289c2e5e5

Observation 4604ddab-60a8-4266-8cad-36ccbf7c7fec · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:16.897495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:05.145531Z digest=sha256:d8defd568b3f1a9a7ede9d62d2a250b0b2292d401cac122c41afe62f7818612c

Observation 2c8b65bf-47e3-45bc-b1d4-413f7f956374 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:05.274253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:05.274253Z digest=sha256:eea73d1b641e302af9aa2e542bbca08379a5011d8dc3f8f22b56121be505ffba

Observation e68a311b-4acf-498d-a858-c7fd3b613506 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:05.430062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:05.430062Z digest=sha256:4b6d948dfc3edc3bbf582674650cf3901708aa720cb79e72c318b055e1c1dd41

Observation c38c986d-03f1-4d40-8273-6f6d28a46161 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 30

Resolution
verified exact
doi, observed 2026-08-07T13:14:10.031611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:05.544810Z digest=sha256:0afbce79e75f77cc677fb89be35360870acbfd27f8120f333d92156e481fefb1

Observation 7379e2a0-f5ab-47e9-89fa-6a0bf2564ba1 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:05.712287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:05.712287Z digest=sha256:fcd3bf85dd835044b1e081c5a1b13842c61f98c557cb8677214027a0f81ab32e

Observation 94c5ec80-c385-493d-9485-42b35b736f72 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:16.680984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:06.085327Z digest=sha256:fa61fdf2b7b861c984e4c7f8e364ccc0a8f0aac4bb3cffe30daeeb8d54fcbbe7

Observation 9d95e667-a94f-4c89-903d-f5606822e634 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:16.481595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:06.186349Z digest=sha256:bc3eb5cb169cd1f2ff34e9dce8c45892cdf164fbb7a8fa8c0473ee614513e6ed

Observation 1dd4391f-a4f8-4116-8c05-ab7c0efc029b · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:06.400170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:06.400170Z digest=sha256:8d2e81daf57fae12b37116c44d13d066ec42340486aa6f9e0724bcc1f176f018

Observation 6f80231c-1099-4aa3-bdae-6741c6a6b327 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:06.522861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:06.522861Z digest=sha256:e5da981a4f9ad0c11ec9f2a48de4453086e175254bfb919439e9fe98608e341e

Observation 04a3e439-7b7d-4b95-bf8f-4ee364d8ae29 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:06.644357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:06.644357Z digest=sha256:81e208fc0213c55b47ca2f8a1b13f858549e29c23bb5af139d9b1fcca256f436

Observation c92943c1-2e5e-400f-99dd-b2ec35297e1c · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:16.271321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:06.831466Z digest=sha256:1d7908dfd32481f30ef93c5999505bccaec8e85212872b533ea757e52230926c

Observation 3ffd5092-830c-4163-b8fb-ad31e68ab19d · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:06.936381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:06.936381Z digest=sha256:a1b3896ae08d162d565a778fb8601bd5d26a3430c4c7b32d7afb12c31790e0c7

Observation b0d2729e-2caa-4d12-8250-8cfb3e5b0ce6 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:16.076649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:07.103888Z digest=sha256:d3b0f61b3e3a35b14bd0403590d75d57de47b3684c3e710ba70b15b831ada82c

Observation 413712bc-cc50-46de-8085-5ec554df935e · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:07.316418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:07.316418Z digest=sha256:4b8997e9aa308e9f354021f006ca11dfb488d195faf6929429036bc526882670

Observation 0e91f12a-9400-41e0-bba6-88073d2c66d5 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:15.928250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:07.461846Z digest=sha256:4ae08c06e4dd0800a2e9d243ccc4f88b929429ea07595218159f2ee13374a925

Observation bc37749b-50dd-4ba4-8fd8-49cf3b0095f5 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:15.785803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:07.608370Z digest=sha256:aa7d52c9f7974e53bf1e63fae6925044ef938ea6c47903f80de4cad468c46168

Observation 2811e119-3f07-441f-8a07-9599cdceab24 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:07.798737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:07.798737Z digest=sha256:9f457df0d5c3e76ecf8eff6625dc6759adc093c3ce49acd96a637dc81f6d7909

Observation 27c8fe4d-7203-42d4-bc58-9367dc430104 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:15.676280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:07.931311Z digest=sha256:8e6fe6f614fda61383d051ac927ad988a9af3d3d023258506be8c89ffb08d21f

Observation c4e1defa-260f-4d4a-be7b-6e18f4258248 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:15.542686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.070466Z digest=sha256:51f2b280ffe16c7edd5ee612d38b19a1f48b0c30fd82ec504cfa5c3d3333445c

Observation 107235a9-03cd-4741-b067-214ff36d5558 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:15.289800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.187862Z digest=sha256:08a274ca414cc150826167ccd1d3c58b2f95fd49d971d58e36f1452731abbb32

Observation 4bada323-2034-4956-9cb0-fa2a28bd6b02 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:15.135211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.265008Z digest=sha256:c23eb28d0c827b8665a9d295b297eb82dcddef745a5ecf7e5152e64339014777

Observation 06c8136e-20f9-463b-8b15-9ae8723b47a1 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:08.332285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:08.332285Z digest=sha256:956c59bf6411c486e2bbc4ce25f1b930dfefd775096d237d1485c70f58a68760

Observation 110fbef0-efd3-41f8-89e3-d4139881537f · outbound

This paper cites IEEE Transactions on Communications (2023).

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models IEEE Transactions on Communications (2023)

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:14:15.396516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.138882Z digest=sha256:5c44f65ac38bf6b66dfcb821a61f644af8caf421eceb8a5083db794e0aa83704

Observation c4814b77-7b8f-43e9-b16c-918b009a1cd9 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:14.969825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.456915Z digest=sha256:450d8ea32f533360182a4d6f87fff9393a6639dce91703956fb8601cbd8bbaeb

Observation aad47576-2e44-41f3-9b24-8fedd5d8ec04 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:14.826334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.502924Z digest=sha256:f845ee9c55408a4dc9b6481688dc10db90d9e8f342f6da3f269204f5d3282726

Observation f82d3d6c-fe61-4560-8431-e70f5412a6d4 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:14.680952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.552790Z digest=sha256:4cafc952a569994908d638580d78127cb798040d397d7e3df3325874a6ecfd9f

Observation 4cdf48ec-5a38-4c15-b751-9fea9be95a5a · outbound

This paper cites Just Fine-tune Twice: Selective Differential Privacy for Large Language Models.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Just Fine-tune Twice: Selective Differential Privacy for Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:08.401537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:08.401537Z digest=sha256:352a7e34fe1edc61a3d612f85170f5a43bda69a1b1ff0cb0b45fd1cf488ec7ed

Observation 8b526d2c-2da3-4823-8aac-34b091cd4848 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:14.220121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.728443Z digest=sha256:ece57e09c693aae1dc87073eea3f4a29593f7a31c106152ffdd130d863df9948

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

This paper cites Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models.

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.809812Z digest=sha256:9f68c615bea42a770863bc98ddb80c8ac5a19fbb176bb6a24b39e9f9cff55849

Observation f17bd592-ad6b-4c54-b64b-8c7cf81cd6ef · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:13.941208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.889843Z digest=sha256:e73b66c9ddd24039604f8c23c9f1aa05887cd29bc104858f205b6afbdd502902

Observation b7bbbdeb-4d4c-4a25-a3e5-2df65045e08e · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:14.484409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.642480Z digest=sha256:2f62c466a86c92b2a501465ec826d58b5feb1f281ba033e750b8b7cd1fca5e44

Observation 1b4ca379-6feb-46a7-970c-543eebce6abf · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:09.004127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:09.004127Z digest=sha256:abe84b170e568b2b893ad58651b1e03042a752d4625ce9c99ae91fde5e5a34a0

Observation 8823ad84-f3f7-4fe9-a3bf-45e97c386735 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:09.053251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:09.053251Z digest=sha256:af1377863c72442cb3955f493fabea15401d24a29a872981e3253bd0fbef1e3a

Observation c8f76181-8efd-485e-a586-3d9c848e2a88 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:13.389375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.126836Z digest=sha256:dd3e7a6931ba0f1c60765675d8a6f588792b84790b264efb15c7429d41869ea3

Observation e766d716-1bd6-4c5e-a58c-0efd2f3fbbd3 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:13.618533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:08.943502Z digest=sha256:9ed21ce540784e941205f8f71734a35eecfe911db2ee2789a18f875a6fa2d63f

Observation 8df8fb5f-74ca-4729-b552-9ee7b4a9c125 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:12.949175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.279107Z digest=sha256:27f26121d820c8849e4ee5c5b2b662a81e6e5e3296ab04c959f2b30edf0c1074

Observation 61a0fe1c-0b85-4e08-9f16-2cbe9028e478 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:09.341199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:09.341199Z digest=sha256:71f536ad2d049b18d0be3cd671136495987ec7a35415bed0834f99232507e3c5

Observation 8a8a99d7-d26e-43b7-91a1-c9d90ffce43f · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:12.663405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.406415Z digest=sha256:aff94f296c283249b0f6b2e25e1eae214f0d9fd2e6562c160c3a67701d905d07

Observation 0c0c22a5-0916-4c6d-9fc9-f3dd83753b83 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:13.206040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.210625Z digest=sha256:79d2d72b3a7322a4475988bd6940d664faebd2c9ef07b4b9e23723afadb0ad8f

Observation 7d75f113-a4d4-4f4b-8ea1-2a366189d4fc · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:12.137364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.565532Z digest=sha256:62da6f7b3740f85186bf53620c2ed899dc196e3a2fa21bf6af5d02202b175b30

Observation f52c5cfd-d0a2-4684-aad2-ec3a2f3a5dd0 · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models iDLG: Improved Deep Leakage from Gradients

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:09.623844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:09.623844Z digest=sha256:164c9671afe889fc5db3746b630afe313f76a1820fce35a02f37ba9fd730f16f

Observation ea9a1754-634d-4360-8fae-6a552f96b3ec · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:11.910035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.693630Z digest=sha256:944dedfa255cdcdced56d91410bebcb958c801d861d725ef30e7cb9d62601e0a

Observation 30185b00-73b6-416d-93e8-a099f20e5c62 · outbound

This paper cites Avestimehr.

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

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:14:12.390107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.473028Z digest=sha256:cfac298664f3456a594efa1bf02cf8206b6be6c1acfaa2f5948cc2fee3a65ec5

Observation b0aac218-a17d-4703-8ee9-722101b01f82 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:09.812958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:09.812958Z digest=sha256:d92e17b2b937f20386ba5c3399b89378b270b5c5c1911fa954768f6e2db8fade

Observation 9972000d-bfed-4d9f-aa2a-4afb27d24bac · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:14:11.707992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:09.861813Z digest=sha256:e22771b71725d34eea070b7a3a82579ec45344c3e7c01575f183ea22c1bfcbff

Observation aed077a3-08e1-4fd7-82ae-d32c3c6ff527 · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:09.750961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:09.750961Z digest=sha256:c1901dbdf4b230102caf15fae4d32eb52e5bf5bd525e8878cd01dbc75ff8e0ab

Observation f9b0c07a-9a19-460e-b8a7-c57093ad3ebe · outbound

This paper cites an unresolved cited work.

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:04.164845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:04.164845Z digest=sha256:4dbb09af9e11178d59bb0a1850b18754e5343c0cd607cca64ad178f845058235

Observation 87e7c9ae-8633-49b8-b03c-f7ccb3636c83 · outbound

This paper cites Visual Prompt Based Personalized Federated Learning.

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

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:14:10.325102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:14:05.941809Z digest=sha256:e85099b8e0c9eeb4ebc074a1d953903a074e8c0a958b691b9070f6ed2fd039f7

Observation 0be5c3e3-aa05-4937-9709-03b8e083a718 · outbound

This paper cites IEEE Journal on Selected Areas in Information Theory (2024).

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models IEEE Journal on Selected Areas in Information Theory (2024)

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:14:18.973048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach cites this paper.

Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models

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