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Paper Citation Record · LEDGER

Systematic Evaluation of Privacy Risks of Machine Learning Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.10595.

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

pith.paper-citation-record.v1
2003.10595 v2

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:35:36.928378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:43:15.817098Z

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 3ba87c5c-682a-417c-afef-5d72fa471c8d · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Systematic Evaluation of Privacy Risks of Machine Learning Models

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:56:23.536274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T17:56:23.281678Z digest=sha256:6553fde314b934b5bc111f87c9dc071714c05a2782e95b036a1820fbf5337c83

Observation d645d2b3-910f-4b90-a9af-389888abfd01 · inbound

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors cites this paper.

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors Systematic Evaluation of Privacy Risks of Machine Learning Models

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:43:15.818870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T08:35:36.928378Z digest=sha256:0df97ff992b24027aa7a5851a74749a0d1ee47b6a9675608d224e0abc2ae3145