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Paper Citation Record · LEDGER

An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.04676.

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

pith.paper-citation-record.v1
2004.04676 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:36.204486Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:03:41.489771Z

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 fef1e07c-428b-45f2-98bc-a801e4685c76 · inbound

A Generalist Model for Diverse Text-Guided Medical Image Synthesis cites this paper.

A Generalist Model for Diverse Text-Guided Medical Image Synthesis An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:03:41.492580Z

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.

source=pdf_text observed=2026-05-24T00:59:10.949395Z digest=sha256:17bb0663821bd3fc6131d47bd5fa54312889cf591c00736232a3880daecaa194

Observation 7e7fec91-c82a-497e-a3ee-912611a8c758 · inbound

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems cites this paper.

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.204486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.204486Z digest=sha256:50788c77acda1cb514264288c71c7fce15a8d5e308c6fafcc4cf76520d2b2d27