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Paper Citation Record · LEDGER

User-Level Label Leakage from Gradients in Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.09369.

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

pith.paper-citation-record.v1
2105.09369 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:15:28.574624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:00:46.980191Z

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 018a566f-d5cf-41ec-a055-bfb499052059 · inbound

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation cites this paper.

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation User-Level Label Leakage from Gradients in Federated Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T11:15:28.574624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:15:28.574624Z digest=sha256:4bf8f3f541bd6547f7d7f753ccbb00e7675b124c7d5c9d1ac54412f40a31ce04

Observation 8e802f78-07e6-4863-a2f1-b2329efd4ca5 · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives User-Level Label Leakage from Gradients in Federated Learning

Reference 209

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:37.923606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:12:37.923606Z digest=sha256:e0e500adb647889d048dc551b33669a0ed77d9b2b166e75a92297372d2193f78

Observation e5a8bafb-057d-48ee-86d3-bcab374f2277 · inbound

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks cites this paper.

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks User-Level Label Leakage from Gradients in Federated Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:00:46.982088Z

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=2026-05-16T08:57:52.519507Z digest=sha256:db94bcda888d9f325ea16b831a4d39248f28a001f4dc9fa3562333c53c60ed5e