Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:33:09.891289Z
Paper Citation Record · LEDGER
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
As of 20 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2411.12451.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T16:11:36.483820Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T02:07:33.278279Z
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e7764b18-bd08-47dc-a382-8232fbb57859 · outbound
This paper cites LOGAN: Membership Inference Attacks Against Generative Models.
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice LOGAN: Membership Inference Attacks Against Generative Models
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:33:09.885570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc465a47-5e9e-4eb3-b01f-fad4570306a2 · outbound
This paper cites Data Synthesis based on Generative Adversarial Networks.
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice Data Synthesis based on Generative Adversarial Networks
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:33:09.891289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation f6cabc94-c87a-4c08-90a0-e8c0dc6df617 · inbound
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting cites this paper.
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T02:07:33.280148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.