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Paper Citation Record · LEDGER

On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.16258.

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

pith.paper-citation-record.v1
2210.16258 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:15:38.399916Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:12:17.779287Z

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 a244bffd-4fc5-41a0-92ee-0bef43b35413 · inbound

Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning cites this paper.

Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T18:15:38.399916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:15:38.399916Z digest=sha256:a2ddd8ffa113beb2f79d4bdb89d78dcc3508935b9d6060dd7850860ff036bfdc

Observation 2ea2ffd0-c9ae-43cf-bd6f-7a699fbca190 · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:12:17.782904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T23:12:16.860027Z digest=sha256:6c35ac25918d590da7fc109d2e04d9e9c490a293f89111a130edf64ccaec9cfd