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Paper Citation Record · LEDGER

A Novel Attribute Reconstruction Attack in 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:2108.06910.

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

pith.paper-citation-record.v1
2108.06910 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:26:58.172889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:07:26.189416Z

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 a0c84919-6199-42fb-9c97-6f5d05343440 · inbound

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting cites this paper.

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting A Novel Attribute Reconstruction Attack in Federated Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T14:26:58.172889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:58.172889Z digest=sha256:d28b83aa43817923e4ce2efa5473999766863070b897a652fe4af2c3e4320909

Observation 433df343-e263-4e8d-bf7f-e004fba49bd9 · inbound

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) cites this paper.

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) A Novel Attribute Reconstruction Attack in Federated Learning

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:07:26.190965Z

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=pdf_text observed=2026-06-27T19:13:21.414587Z digest=sha256:b8c00c7ca834709265eeefa40b1fb22ce824cce1f8c9ed1db20b6dca5844792e