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Paper Citation Record · LEDGER

Black-box Model Inversion Attribute Inference Attacks on Classification Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.03404.

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

pith.paper-citation-record.v1
2012.03404 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:44:28.776799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:33:45.363505Z

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 babd9b79-b8b6-4d88-a4cd-9376e6033dff · inbound

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures cites this paper.

A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Black-box Model Inversion Attribute Inference Attacks on Classification Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T12:44:28.776799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:28.776799Z digest=sha256:79b7ff534fdb4dc9b645cdbf463f45b1f1e89bd72369c07158d3737f9828d7d8

Observation 0344838f-622c-4e46-a8cc-d7893ada8f42 · inbound

Landseer: Exploring the Machine Learning Defense Landscape cites this paper.

Landseer: Exploring the Machine Learning Defense Landscape Black-box Model Inversion Attribute Inference Attacks on Classification Models

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:33:45.365714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T17:27:29.241219Z digest=sha256:fc0bea7fa55ee3c93d0e60671f81393a99faa9b77615c92739f677894291634a