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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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
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  • 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:475cf96f8b4f29e26cb714773371a1e4616c55d0278da6af7140797cba2040d8

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:809da8c2fd81baeaf1e0b0539e3885d29d74519fbffea78dd458ec26fa777845

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:e73c0cebda0a0c01016a2f683cf99d7904a7d51653e73ee74d1c90f5fb6c2a3f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:e26818de20d704cbd24392fae1b2bab18f14ca4233b5db0aebbc559d734593a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:cd95dcc129a7f755d18faee0a20af4cbacb96156ed1ddcc1ab2af9c8bbfb7fea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:61b6c56b629509b139b85253bc3066b386f76189f87c1e8bbf3f0a200c0898fb

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:f0d13b2bb0d3d90fb33098a849cc54c84e1d6a324b5fb730ca092c458bfe7995

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:0204b9e2db2c4321db0a3ae11531e6f618e4d51f072e3891b34eaffebc8b16ce

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:70b9f6bdac97bbbac12a9f23a88e46d5ed5c44ade29900e1cff3e2216a956e01

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:e868129fa8a18daaffd198f9794f790a3668dcd9116c887039386317a3992206

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:009121655dfe60d8e22a4a6808cc0c7864687ac156b284a99ddc7b443945dedc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:e8b2b1cb61d0c97a55e0c03e2f55c35790de0ae0352d274d0812f9025c6dde0a

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:dc4939d7fcefd52118f6de0cbff3114b21e8606ed90e3d4351cfb342d58b8ac4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:93d175ce389820a0d23905eb4673653882ccc1e1116c694cfcc610b4a98489e0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:35871df673bf28bfad4df42ce4277f28183f56eb18231055f790a96425c9ee0e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:ff90ef6e855b96d6d05591c96b73d773eec4188db7ff6dd79807969a06c0dd2e

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:f1f755be0bda629b0985289516440dfbcca4d9fbd6770cda35972a7afadbc939

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:7b203adf316cc182bddcc355df92a51c391d469994383e8cee4a80524dc2bacc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:b344fe90e5babf49aae8c48c048987be878cd00e4a0f789d3b12c4de401fdeec

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:254b8b0a76d478b1bcca69af665ae8a6794ec26c24ae202d9086fc767f2e31f3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:117abb5eb3f0111b1931b52b1855c1a805efb8ac0854b1da9ee3038e9453eb0f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:3f71625cbf6155b058e1763a769bea957e73a2fbc1a69379f5356d2c9483979a

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:d8d21dc61db903b5ec1fafd9b9a227ac524409b507fdd88b06d9873bc4f7a8d3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:8e8e44826e0da3d0aa6c4d04b358312acc4ed945ace36ac2924e6c6bfcc9dab2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:fbed2fe0fbe9e59c2ac3078fb150ac559028a79fc86d0b43224a654a288d64e4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T08:38:14.684206Z digest=sha256:a2dd1eba46f4b19a3d3167624c82571be4649643c679ed31c9abed786dd031d6

Pith citing papers

No inbound Pith citation observations are available.