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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:2766106fa3afc80e4b109bf7b8ce3355e9c34828b1ac6cae18a7b8467f32d1da

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:01.532675Z digest=sha256:6e5db07db8635c7168c7d1994d8337cf18a169f16c09c8dea8390d7a78acf222

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:c474661e8ee00ddc716b06e21609712f0f2363b77911fb4b388dc1a9999a26b6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:01.705053Z digest=sha256:21f83fa183b4eebfc803f504a9250d54537dc3d5f2b992cb0f35e61c6e9e3315

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:01.772578Z digest=sha256:bc0c3013de86be8ca2c00659b7eb3770ff3b1fd4560d81b57b884cc99b8f77a3

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=sha256:33c44942e8b895fe5ae07d498a0d0b600085c7f1cf5a073873e992ab563eb686

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:02.195421Z digest=sha256:087c3d2d36b2ab41d75b73009f1e7c21e08973ab0139fe957b210ca6de83668a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:02.379680Z digest=sha256:a1c601c81664e03e328ed13be117a31755482740c0102b51f26b13d950ff9af0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:02.562435Z digest=sha256:11fb6eaaaac86851134f742314a12ae8e35d5217769f619cbd372e0a4a52a68b

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=sha256:0c2bfba0026f29f10378da643a129fe979b76018d13afa7467fe40343b826e2c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:02.832085Z digest=sha256:a3927a4e43d89b5b7a1ee142290ec9993febce21ace2c7e352ff3b88b23db7d5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:02.997945Z digest=sha256:29fe7e7f0d2199134bb6ef1f193347e82eca1ed237b196d4a15f1a8f29482139

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=sha256:2950f5a467a1947228ac65d7e0b9ddb9b43adeddcdf18386c9df39ca8efa9bbd

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:ff9629279487c04770a36745769caffaa6ea1a7318ee14f13a1690fb444cbaf4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:03.460113Z digest=sha256:3ef1c1fd5bed258250d225571b7b66ff56a7814b8a61e6177eb9b16234aaacdd

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=sha256:975bf358c3451732adb54746a24cb533109f67cbbb8d4bc33ae176fb790571c8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:03.699567Z digest=sha256:5796b719e76b5066bd4967c45c4ddba2f224709526aebddea51fecd3053fb930

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:03.763580Z digest=sha256:8c418b178f7d42118c94dc201d9132fb4c514fe56ddf417f1b7353af80953885

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:03.873401Z digest=sha256:90819cee9ed8153bdcbd45237cbb4efad627c789e9b7a95e2c52b71f1d92882a

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=sha256:2129407cb80349a2575fdb0a969e2a15376dcdcec71abccf290808957f59bdd1

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=sha256:28d6d23753549aa92bf6afbf96cf328d54ecbf29f119907d01ef78fc5d2b915e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:04.438306Z digest=sha256:cea53ce0ff59b71cf57e336354bf9ce9843ae8c70d21e5f8ccbe73ec91a733e2

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=sha256:82ed41237b99fb869788a99404cf994f6f396a9797c8ef878675d7282694c1a6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:04.741725Z digest=sha256:8ed4807bf495cde94de65f8878eabf94e9190514fbd9d0824c00b69b8f4cc179

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:04.902677Z digest=sha256:abd109c11f06c0de3f740479114280548f48aa86141097be59aad027a35c0b5a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:05.050936Z digest=sha256:82a44cc2f722072c35d5c24e70c301d7a7b4e352b43f1385bdd6f374815fcc53

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:05.145531Z digest=sha256:8a141b353cddb31c68408d438abd337823c8498694814c9ac12d0cb21d3d0ae7

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:a9599e2cdabd09b4146f3f3906afe4a3eb2cce3b42726bf4a2ff302a0c234c42

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:f0da864f99730025d45fe927764a8a7a5f42458a2cbac2fe616bada6a00883b6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:05.544810Z digest=sha256:9b24e51e7806c1c9398edbb6eac2a50f3a9e4f59e0ecca817bb14d9e6bd56943

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:cb8329560bf41b3c773e97873bc4b3c60e8f113d38c221b70e3db2dee47030b4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:06.085327Z digest=sha256:c49c69a9b37ca51df4dfe4500311288d777785e668ccd63404bdabd49a1a90b6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:06.186349Z digest=sha256:ef78ba05c441bfa6ba783e8bab1662095fededf54e3f925c52a5316045c1a0f3

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=sha256:09de8cfbe6be84cc79917251562f19415976797cecc8fa31e58b3cf16b2d44d0

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=sha256:1d3d06b436621c39136a7dcc4f80de2ca32a09efaecc8524142e3110ae7a45db

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=sha256:39f8586e5ca03e43403b3b508ee01dca1328732414aa81d5cdea6969d4806a4c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:06.831466Z digest=sha256:c343eceb6a34730a8cae4e3f397ccfaeaf786157b23ae1f9486f4a5957ae7806

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=sha256:67d13cef9c95600a5ded8125bfadc76f761683708fe10790da465471894c75ae

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:07.103888Z digest=sha256:4c0fd3c637560bf4f76c45f7f1189cf65718d1c310ea5d01a08cb39595c057ac

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:a367d6b771bc61cfb61dde7561732dd7ff6872986046cfb9ec1bf0433b5aff9b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:07.461846Z digest=sha256:c9c32e315db0740d4fa214a1dae9e4c932bc98d781e367a7db4a3f4f9854181d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:07.608370Z digest=sha256:714194baa6ba328e1c0b23144509f98bf6e270bac325c06104f5945db6b30bb6

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=sha256:9ad0a59abeed9379b71f8941e84905a019e81fdadeadd07286b19b331ec1a976

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:07.931311Z digest=sha256:533694dab68c11ff6c25461166c30f71e1a95cba31dd18fd8ed86faf7bb843f7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.070466Z digest=sha256:7958286c47bf5e4d164aa11beb0b8045bbb96868bce29cf60c9567c9cc6acde7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.187862Z digest=sha256:49fa9477ac4ea5136b91f140dab68f66125314b45c16e3a33f8571dcd5ffac66

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.265008Z digest=sha256:5ac03eb58eb136b25a8d1d631b0a0b9f87331d2e01c49198d339121bfc49d0f7

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:ed4eae50377bac3212ff109f3bc14af8679adb711ec20b48f4cc785f4ff41675

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.138882Z digest=sha256:7a35f4ec887b35eab99b50621d5bdb1bfc569674e1b6876ab6811188b828b9bd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.456915Z digest=sha256:0b9afd2a0f8355a2885c379d00f0198bfc2d7525a46e0adaebfabb29cee613b3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.502924Z digest=sha256:7c04c354a5082e64969dec865c3b674b4abf44bac4739e35543b3f2ff6dd022f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.552790Z digest=sha256:44c28d7c3d9b4eac86a60ae15a52451961cc86488af4462b42995c57b78b5aca

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:c137608f10e20059364e06138c4722bc8f03ce63d78feee3450b102b0007acd2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.728443Z digest=sha256:ba100b230d43ff74415aad9c8d70c5a47e3c7d0cf106143529cba88880a0bd2e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.809812Z digest=sha256:ed8ff04d5676593aa342e920b8fba09cb04aeab41ab6448e888109b277af4fac

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.889843Z digest=sha256:492b7a09d3b42bdfdcf283ec3ff1400f28a652b05cc5740355e6d319b5f5c37a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.642480Z digest=sha256:10be45bdcc21efbed260852eb0f298634792d2c98b036adb200fee7b67662022

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=sha256:7daf95af45c2b47d848f9ed2afdcbd15fa3843c63fef0fa30ed304db4cbed655

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:c72cfdfc03db4ec939ccb04c1d303afe3526901eace6a64ab80518ccb53c4fac

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.126836Z digest=sha256:6a163d479c09fb5ca531d3c3cb74325e7e73a13141f84bf99fed6c27fa97330c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:08.943502Z digest=sha256:2765f24a8c33df9b2f780b8fef78fd900a077a540e18164db984d329e650cbd4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.279107Z digest=sha256:f3e67c8be7bfa30dc6ee82d1ca0aeacd935c14d6db7c4e336a6535d4277e7b27

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:f02a13c837f97f99885070c2828585aff2a1ab74a8b57a36d735de62ec5227e4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.406415Z digest=sha256:f4631268c308650c8577644c80c2c521125cccd024ad98be9ad954b7a6ddcfb7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.210625Z digest=sha256:4a1603254643e1f6219b1bbfe04c62794c28f54f2f6a51eee96168a98ade7eb1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.565532Z digest=sha256:a5238c0923cebe35bd3a922ef80f42691b1d6a53e52a8fc8fb61888d68981900

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=sha256:21286908da3fbee12ea8892dfc804cb1044bd9b22dd112537352a0b60bee2f0f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.693630Z digest=sha256:c75e3c1796ba81dde9d2fed8b30dd01db321b71b4850e773d52465ea2e52bb4a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.473028Z digest=sha256:531940b77d4543852764cb9ecf87f35f4f2f73f8e51e49061327807fb29551ec

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:dd7675363aa08b0c7c6f0bcf831eedbf4e95357f05a1d3a77205ce321aa4e5f2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:09.861813Z digest=sha256:4982f70f907fc3c7f729b884910355e785a52a9cc5278b4b7eac2baf45d01949

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:be8955658649849ab4f07d72ee8daaa4c9314e20c9b83b5cb648c2646336512a

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=sha256:09fc7b969531355a2fa1fdb755b6420e030c6244dd6816c4a0fa9edf2c470fea

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:05.941809Z digest=sha256:59188c438393b29ba6e127a5250321a2e20a2bc8c4474ba23cd412aec69dbb13

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:14:01.890184Z digest=sha256:30982c510e4f74f76eef5afd651d6fa8f4b3b839e08b3174720f55ff99f62ecd

Pith citing papers

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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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