Paper Citation Record · LEDGER

A Survey on Federated Unlearning: Challenges and Opportunities

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.02437.

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

pith.paper-citation-record.v1
2403.02437 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:35:58.187301Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d17b2697-b94b-444d-8d89-cbf833a9ce74 · inbound

Streamlined Federated Unlearning: Unite as One to Be Highly Efficient cites this paper.

Streamlined Federated Unlearning: Unite as One to Be Highly Efficient A Survey on Federated Unlearning: Challenges and Opportunities

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:35:58.187301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882e7331-2901-4bdc-9029-18c91b6aa21d · inbound

Federated Unlearning Model Recovery in Data with Skewed Label Distributions cites this paper.

Federated Unlearning Model Recovery in Data with Skewed Label Distributions A Survey on Federated Unlearning: Challenges and Opportunities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:05.789169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a180d1c9-6397-46af-ae2f-c07c070b9607 · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety A Survey on Federated Unlearning: Challenges and Opportunities

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:10.256336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 745a457e-5672-4090-b085-e069d1d3223a · inbound

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement cites this paper.

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement A Survey on Federated Unlearning: Challenges and Opportunities

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:28:02.259650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11875b18-b576-4b3f-94c9-bf4e4c3c782b · inbound

Rethinking Federated Unlearning via the Lens of Memorization cites this paper.

Rethinking Federated Unlearning via the Lens of Memorization A Survey on Federated Unlearning: Challenges and Opportunities

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:44.685481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.