Paper Citation Record · LEDGER

SoK: On Gradient Leakage in Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.05403.

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

pith.paper-citation-record.v1
2404.05403 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:03.295491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:11:22.947200Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52a26ba0-26f3-4744-a662-d2120ea4b8d5 · inbound

Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models cites this paper.

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.

Observation fddffd70-e77a-48b9-badd-7c4ce081bbca · inbound

Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings cites this paper.

Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings SoK: On Gradient Leakage in Federated Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:21:07.522312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b381e7a4-907d-4bd5-85d8-a1aa5540d05d · inbound

Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning cites this paper.

Images in Motion?: A First Look into Video Leakage in Collaborative Deep Learning SoK: On Gradient Leakage in Federated Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:57.905748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 095c17a8-1016-421b-966c-15e80ae4cd55 · inbound

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance cites this paper.

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance SoK: On Gradient Leakage in Federated Learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:05.349499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e794a81-f47c-4e2f-8168-a1c668ac80e6 · inbound

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration cites this paper.

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration SoK: On Gradient Leakage in Federated Learning

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:13:52.823911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50160bf4-8e86-4ad6-b0ba-f69cfb9ad5f3 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning SoK: On Gradient Leakage in Federated Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:13:59.744580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62cf636b-5b2e-4447-82bf-65664f5378b1 · inbound

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning cites this paper.

Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning SoK: On Gradient Leakage in Federated Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:11:22.950506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.