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Paper Citation Record · LEDGER

Gradient Leakage Defense with Key-Lock Module for Federated Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.04095.

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

pith.paper-citation-record.v1
2305.04095 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:08:54.593835Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T21:58:45.079712Z

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 88832eb9-cf6d-46c7-88ce-1476abd94436 · inbound

A New Federated Learning Framework Against Gradient Inversion Attacks cites this paper.

A New Federated Learning Framework Against Gradient Inversion Attacks Gradient Leakage Defense with Key-Lock Module for Federated Learning

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T19:08:54.593835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:08:54.593835Z digest=sha256:8a4df1bc822ca18fb5a6ba17f71088b8de5218e1cdad90377304909e99e90994

Observation 7c5aa237-3404-41da-a3f3-78970de2642e · inbound

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey cites this paper.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Gradient Leakage Defense with Key-Lock Module for Federated Learning

Reference 109

Resolution
verified exact
local_arxiv, observed 2026-08-09T21:58:45.083164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T21:58:41.189022Z digest=sha256:556ab3ea4fc5cf21f5be50c57c362a26eab7d37c9eb1f0bd2087d881448944e5