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Paper Citation Record · LEDGER

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.08368.

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

pith.paper-citation-record.v1
2607.08368 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T08:38:14.684206Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact8
  • verified fuzzy20
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df37b9d8-adb0-4271-8a2b-fce52abe4c59 · outbound

This paper cites Federated learning and differential privacy for medical image analysis,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Federated learning and differential privacy for medical image analysis,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.450095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fe0f74c2-2799-4c1e-a6a2-8b14801aa9d3 · outbound

This paper cites Privacy preserving risk modeling across financial institutions via federated learning with adaptive optimization,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Privacy preserving risk modeling across financial institutions via federated learning with adaptive optimization,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.448271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:62e0c295ae5522a44fd53517c55a3686db2e4ad4baf7312c7fcfbde8ff9805fd

Observation bafc02c3-2996-45cd-95d6-5ddee0b632be · outbound

This paper cites Federated learning for the internet of things: Applications, challenges, and opportunities,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Federated learning for the internet of things: Applications, challenges, and opportunities,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.457345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7b5f2a62-638d-4ca6-871c-f3ff7aec9514 · outbound

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

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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verified exact
local_arxiv, observed 2026-07-10T08:47:02.061877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:ebbf10f0ce0f3f1e86a43e5ee6ed3395ac2b71a59d4e9ff0c5f1aeb8322893fe

Observation 7ab315ef-ca21-4334-a197-b440ff96c028 · outbound

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

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Learning transferable visual models from natural language supervision

Reference 5

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.455476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:4f53821202acff24c8fc4b9e03d9bb3346a3f310089a46237aba48f9879e976c

Observation fc2eaa90-e1e2-4de1-9c9d-202a10d669d9 · outbound

This paper cites Efficient partitioning vision transformer on edge devices for distributed inference,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Efficient partitioning vision transformer on edge devices for distributed inference,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.443466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:17ec5d9adaa4736406a8ec5c649848d81d4a14be9e7e8b430c5bb1a3f23187c4

Observation 1073ce56-8c13-4f17-9b9d-40d33a1d9c68 · outbound

This paper cites Federated learning for cyber physical systems: a comprehensive survey.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Federated learning for cyber physical systems: a comprehensive survey

Reference 7

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.441840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:bb5f250180ca8973e35b2d12dea563f0ad2d62ff65a5b25886c047ecc3b731cc

Observation fbd41e71-e48b-45e6-94d0-ed13f25638b4 · outbound

This paper cites Towards one-shot federated learning: Advances, chal- lenges, and future directions,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Towards one-shot federated learning: Advances, chal- lenges, and future directions,

Reference 8

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raw_fallback, observed 2026-07-10T08:47:02.459354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:c9b6905dea336015ab04662956fdc22e8bfb4ef5f2fbdc5f7fa7a7f01cb20751

Observation 4c197336-e139-4c31-88b9-ad63061ca07b · outbound

This paper cites One-shot Federated Learning via Synthetic Distiller-Distillate Communication.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning One-shot Federated Learning via Synthetic Distiller-Distillate Communication

Reference 9

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verified exact
local_arxiv, observed 2026-07-10T08:47:02.066879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:613bc80e97bacd7339856c6f48940b1d5a7c46320aaead2b9e507eef9d8542e6

Observation 6a82f28c-f886-4095-b0cb-86f32b57dc05 · outbound

This paper cites Dense: Data-free one-shot federated learning,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Dense: Data-free one-shot federated learning,

Reference 10

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raw_fallback, observed 2026-07-10T08:47:02.446464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:72f336c516531f399f3fab9cba51ae120ac5deca3c7accb2c07eebcb67286f1e

Observation a783b10f-360f-4212-8c16-5c65339bfb3c · outbound

This paper cites One-shot federated learning on medical data using knowl- edge distillation with image synthesis and client model adaptation,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning One-shot federated learning on medical data using knowl- edge distillation with image synthesis and client model adaptation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.451835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:42fc292fd798caa5653dd88bc6a7b34baac933fe61c1cc55acb441e3dda95a4e

Observation 214e0efa-d76b-4255-b6c3-a4234f7fc635 · outbound

This paper cites One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models

Reference 12

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verified exact
local_arxiv, observed 2026-07-10T08:47:02.072089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 15aa0755-67e1-4d22-a1d4-f6a3e8610d64 · outbound

This paper cites Capture global feature statistics for one-shot federated learning,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Capture global feature statistics for one-shot federated learning,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.453661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:87a36dc295bb62f0a9921b5dd6936dc1e22cb2a30ef20deb55c9756b11056ed6

Observation 318fe87e-7ae3-4815-8939-39ec2caa56e2 · outbound

This paper cites Afl: A single-round analytic approach for federated learning with pre-trained models,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Afl: A single-round analytic approach for federated learning with pre-trained models,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.438459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:e6fe5f088b370eb1945ae1a063e5736a24dab93a910f6635b8c4be6b592d15c4

Observation f3924a96-c2e2-4380-a3df-43b5299f4227 · outbound

This paper cites Data-free knowledge distillation for het- erogeneous federated learning,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Data-free knowledge distillation for het- erogeneous federated learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.436770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:e379bb7fa1a6fa49d2f5cfeda845acd9089e89eee8a59215318941a7c1021bf0

Observation 601129c2-859f-4c93-96aa-b023ed49bed8 · outbound

This paper cites Federated learning via decentralized dataset distillation in resource-constrained edge environments,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Federated learning via decentralized dataset distillation in resource-constrained edge environments,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.461264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:de52d6c92f75061e09c2bdba625744c1784cb6035b5177299c05615f717af24a

Observation e74bc969-b122-493a-beeb-71cc9e544b1a · outbound

This paper cites Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

Reference 17

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local_arxiv, observed 2026-07-10T08:47:02.069342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:185ab5a529484be7975395bc4e9d194b9a0edec36fe5ade013df6985baa4a2f3

Observation a95910b3-f6b9-46ed-b162-a7cf14d13f98 · outbound

This paper cites Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models

Reference 18

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verified exact
local_arxiv, observed 2026-07-10T08:47:02.059440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:d0da389f9774c5d965da95f6c96e6ad7487afb74e815de928bac62da11e2fa62

Observation 8ccc4ea2-9c07-4d55-9964-3cf4923f9c73 · outbound

This paper cites One-shot federated learning with label differential privacy,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning One-shot federated learning with label differential privacy,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.440231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:076d227a441fbd0c8db03725267e3c5297862305921e3fb1432faad64b439a0e

Observation e7945b65-1f17-43bc-861e-ebe21383e853 · outbound

This paper cites XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning

Reference 20

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local_arxiv, observed 2026-07-10T08:47:02.064211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:66857569ccf29f235fcfe9812d94ec14cf84bdf2f7911d5c3d28d991c8fea4f6

Observation 9aaf8a77-caf8-4a00-9d75-44349a4ef9b8 · outbound

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

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Learning to prompt for vision- language models,

Reference 21

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raw_fallback, observed 2026-07-10T08:47:02.462926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:0ab8b5097d265bba7528b2423aca970a92e16c5d6645463abdb975aca1f137b6

Observation f293bdbe-6b50-4b5f-87ae-154e6d4ea459 · outbound

This paper cites Global and local prompts coop- eration via optimal transport for federated learning,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Global and local prompts coop- eration via optimal transport for federated learning,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.431623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:ad21633b88361883a682e82d8835d67dc81b0a723697d8668679d9d93a9008b7

Observation 3c987aa3-8c28-4d81-bb7e-11eda512274d · outbound

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

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Promptfl: Let federated participants cooperatively learn prompts instead of models–federated learning in age of foundation model,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.433306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:d049863f3f8861abca0702784ac55e124340ce3ffb625fd5abd3de53282954e5

Observation 176f2897-caa0-4bd8-b14c-547dc6cd97c6 · outbound

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

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Pfedprompt: Learning personalized prompt for vision-language models in federated learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.427236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:4b3ad5830f8fab37267ad6fc5a8cf048091f9dc39d4e09433d206a015e479519

Observation bc6a34b5-1864-41d6-97e1-9f3f426c8359 · outbound

This paper cites Deepafl: Deep analytic federated learning,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Deepafl: Deep analytic federated learning,

Reference 25

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verified exact
arxiv_id, observed 2026-07-10T08:47:02.056931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:730b15c67541fb1b2db6e5dab4e177700d3970a49313a97cbb7c6a293d885c80

Observation 6b8ebe04-1df4-4ea9-bf3c-b3dfe0189b9a · outbound

This paper cites Visual prompt tuning,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Visual prompt tuning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.429995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:cc55e65fb504f434568d93fe52e1a7fd72ca0ed2f8bd52e1bfb72f0f5d6d9134

Observation c7c35bdc-ebb2-4984-80e3-4b05f9a8a09a · outbound

This paper cites Markov chain sampling methods for dirichlet process mixture models,.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Markov chain sampling methods for dirichlet process mixture models,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T08:47:02.435122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:5d34a74ba3aaeebe31ce50c651c534ab9710155904d93f5d66923fe6434f1663

Observation 9bd618cf-4cee-4d5e-a362-d22163d7ec0f · outbound

This paper cites Parametric Feature Transfer: One-shot Federated Learning with Foundation Models.

FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-10T08:47:02.074484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:2ced98a764abe6e7832b42356938b0528c3fa0b429632cceda7f07781b36b2bf

Pith citing papers

No inbound Pith citation observations are available.