Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.10445.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:45:44.489213Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T04:42:24.809482Z
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 86394da0-62b0-4764-a1eb-8f105416169a · inbound
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark cites this paper.
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:29:44.731810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0e2748c-20bf-411d-8c02-acdca6d44a1e · inbound
Amplifying Machine Learning Attacks Through Strategic Compositions cites this paper.
Amplifying Machine Learning Attacks Through Strategic Compositions Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:45:44.489213Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c749b3e6-88dc-4417-9f5d-868af44075d2 · inbound
DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation cites this paper.
DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T04:42:24.872787Z
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.