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Paper Citation Record · LEDGER

SoK: On Gradient Leakage in Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:33:38.874839Z

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 fac88926-a08f-4458-ab30-adebe22fcc64 · inbound

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning cites this paper.

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning SoK: On Gradient Leakage in Federated Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T23:33:38.874839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:33:38.874839Z digest=sha256:c0938f3e0b8c03fc515c38d35900d5c499af82d3629f46a858d894bb3edb31d8

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.

source=pdf_text observed=2026-08-07T13:14:03.295491Z digest=sha256:47e738ce64de9fd2a374949aa2f191e272485ddd4775b845d86ea04cb6b1c1f4

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.

source=pdf_text observed=2026-08-07T05:21:07.522312Z digest=sha256:aa5c37f60c149579beef4636843ad04376767c0094f9bfc1ce949a0af2628e60

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.

source=pdf_text observed=2026-08-04T19:43:57.905748Z digest=sha256:e50c1be986b2953485e84546f4f816ac2d7d07be9a2a638d05460e0a6b4dcade

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

source=pdf_text observed=2026-05-10T01:43:47.651334Z digest=sha256:40d4d1bdbd2343b774be5e267989838e0128a3276ce53f125f6db644ff79612d

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

source=arxiv_source observed=2026-05-21T00:13:11.388212Z digest=sha256:c3f6caeca7999e57585c10126cba7842567951c61cc4e66d20a8723e79e2f0e5

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

source=pdf_text observed=2026-05-21T06:09:45.435627Z digest=sha256:86274c230c01ab99d2b2edb9904507200e11255d700f9483fdd8effaf659e190

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

source=pdf_text observed=2026-05-22T10:10:13.980897Z digest=sha256:74b817da39280a8ac1da9fde1de4711822dcd1c419ab698555ec058a45d21259