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Paper Citation Record · LEDGER

Defending against Reconstruction Attacks with R\'enyi Differential Privacy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.07623.

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

pith.paper-citation-record.v1
2202.07623 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:40.980818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:03:44.571618Z

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 2349e207-e07d-4973-9dd0-577f31ac4b9f · inbound

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition cites this paper.

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition Defending against Reconstruction Attacks with R\'enyi Differential Privacy

Reference 226

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:03:44.574987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-24T01:58:53.702943Z digest=sha256:d16f42815f2760242567fa5ccc2e427898bf1162bd074c4bf3f184c84c6408e4

Observation 1b69e99a-be38-4f5a-ba8e-dd48ac0470ef · inbound

A Unified Framework for Adversary-Aware Differential Privacy Bounds cites this paper.

A Unified Framework for Adversary-Aware Differential Privacy Bounds Defending against Reconstruction Attacks with R\'enyi Differential Privacy

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:40.980818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:40.980818Z digest=sha256:1470d1f55aff0ac58f163a1f73329a631b1b991b230f285f957d612bcdc38b75