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Paper Citation Record · LEDGER

SoK: On Gradient Leakage in Federated Learning

As of 9 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 2026-08-08T06:32:00.761636+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:f365f46b3c03216a4f5be73d42bbe68cb27d1bc31310792aa5eb394b9a58bc08

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:e2fcb31114f22578c0ee9e3d0a51277207287c6a4bc676ddf5dceb99fbb4ddeb

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=sha256:0d80382bad99502025a76dcd68bff5eb1a245194fb4a4e0aacf08da23562ed5b

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=sha256:6e791f9a24ed6cf14e36677145a378bdcf4caaf3e2879e0a4a3ba27843a5b0fb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T01:43:47.651334Z digest=sha256:7fcf02f16fd03f27e27ce4e2ceab8d8364639464497b399cc8dd7896ad31fd10

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T00:13:11.388212Z digest=sha256:1086f946197c2b7054bf52c2ce6becd704093c4839a17456f598765fa6c06848

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T06:09:45.435627Z digest=sha256:8530e37d5b182e2c5f8ea06ccc08c09cb5f4c8e56eff82c69ad94480edfb8fbc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T10:10:13.980897Z digest=sha256:b8fe7b9c8ba9ed38e9f290f778fbfe3bc8782ab5d78defcbc800233260fd9b2c