Paper Citation Record · LEDGER

Image Feature Fusion-based Federated Client Unlearning (FCU)

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2605.26715.

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

pith.paper-citation-record.v1
2605.26715 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:06:18.923090Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

16 of 16 outbound references displayed

verified exact2
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cc8b6ae-4e66-42f7-a33f-40c3886c2fed · outbound

This paper cites Fast federated machine unlearning with nonlinear functional theory.

Image Feature Fusion-based Federated Client Unlearning (FCU) Fast federated machine unlearning with nonlinear functional theory

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b8b7ee-2642-4013-9630-fb13d710f06a · outbound

This paper cites Enable the right to be forgotten with federated client unlearning in medical imaging.

Image Feature Fusion-based Federated Client Unlearning (FCU) Enable the right to be forgotten with federated client unlearning in medical imaging

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceaa817b-11dd-4dff-877a-2f188615a248 · outbound

This paper cites Construction of a machine learning dataset through collaboration: the rsna 2019 brain ct hemorrhage challenge.

Image Feature Fusion-based Federated Client Unlearning (FCU) Construction of a machine learning dataset through collaboration: the rsna 2019 brain ct hemorrhage challenge

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a261c8-533a-49e2-9d27-ce127e39c796 · outbound

This paper cites Federated Unlearning: How to Efficiently Erase a Client in FL?.

Image Feature Fusion-based Federated Client Unlearning (FCU) Federated Unlearning: How to Efficiently Erase a Client in FL?

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:52.706847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a4a327d-9e41-47c6-a277-b4b4a6af3ba1 · outbound

This paper cites Harding, J.J.

Image Feature Fusion-based Federated Client Unlearning (FCU) Harding, J.J

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d59f194-e6e0-4a5b-bba3-5abc05d52abe · outbound

This paper cites Federaser: Enabling efficient client-level data removal from federated learning models.

Image Feature Fusion-based Federated Client Unlearning (FCU) Federaser: Enabling efficient client-level data removal from federated learning models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5bb2af-e8e1-48aa-af86-768bcf520d3a · outbound

This paper cites Fedzmugan: Zero-shot class-level ma- chine unlearning in federated settings using generative adversarial networks, 2026.

Image Feature Fusion-based Federated Client Unlearning (FCU) Fedzmugan: Zero-shot class-level ma- chine unlearning in federated settings using generative adversarial networks, 2026

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0418bc42-edfe-43cc-be9d-9e969ea4d126 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Image Feature Fusion-based Federated Client Unlearning (FCU) Communication-efficient learning of deep networks from decentralized data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77464ecb-a1d5-48b6-bb8d-0536d691bf55 · outbound

This paper cites Adversarial mixup unlearning.

Image Feature Fusion-based Federated Client Unlearning (FCU) Adversarial mixup unlearning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49052f43-a12b-42c1-8620-8568ade66223 · outbound

This paper cites Robust federated unlearning.

Image Feature Fusion-based Federated Client Unlearning (FCU) Robust federated unlearning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f93318-1364-4f2b-8cc2-468590296edd · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.Scientific data, 5(1):1–9, 2018.

Image Feature Fusion-based Federated Client Unlearning (FCU) The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.Scientific data, 5(1):1–9, 2018

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f46cd0e-2245-40d0-b26a-8b51af371f4a · outbound

This paper cites Voigt and A.

Image Feature Fusion-based Federated Client Unlearning (FCU) Voigt and A

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9224f98c-47d4-41b3-a9ea-89bfd299382a · outbound

This paper cites Jellyfish: Zero-shot federated unlearning scheme with knowledge disentanglement, 2026.

Image Feature Fusion-based Federated Client Unlearning (FCU) Jellyfish: Zero-shot federated unlearning scheme with knowledge disentanglement, 2026

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d375605-0cc9-4a9d-9f5e-1179a448b98f · outbound

This paper cites Federated Unlearning with Knowledge Distillation.

Image Feature Fusion-based Federated Client Unlearning (FCU) Federated Unlearning with Knowledge Distillation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:52.703785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 709f93a4-55fb-4cbe-bb2f-43bfd333b633 · outbound

This paper cites Federated unlearning with momentum degradation.IEEE Internet of Things Journal, 2023.

Image Feature Fusion-based Federated Client Unlearning (FCU) Federated unlearning with momentum degradation.IEEE Internet of Things Journal, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9a8ef4-2062-474a-908c-fea48eb29d15 · outbound

This paper cites Unlearning through knowledge overwriting: Reversible federated unlearning via selective sparse adapter.

Image Feature Fusion-based Federated Client Unlearning (FCU) Unlearning through knowledge overwriting: Reversible federated unlearning via selective sparse adapter

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T19:06:18.923090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.