Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Membership Inference Attacks against Machine Learning Models
As of 28 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1610.05820.
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 2026-07-28T06:31:03.373048+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T15:22:47.396276Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T21:35:37.701091Z
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 6f331c44-f89b-496c-87e3-16a6c8745581 · inbound
Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures cites this paper.
Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures Membership Inference Attacks against Machine Learning Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:11:28.764988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation df6af1a5-48ab-4976-82e6-bd9dcbefba24 · inbound
SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions cites this paper.
SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions Membership Inference Attacks against Machine Learning Models
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T20:42:57.528433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation c500fac8-7ecb-45ed-9d7b-0aff9699d564 · inbound
Asking Back: Interaction-Layer Antidistillation Watermarks cites this paper.
Asking Back: Interaction-Layer Antidistillation Watermarks Membership Inference Attacks against Machine Learning Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:13:37.502991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 5c95052d-d45b-44dc-8302-2807278f578f · inbound
MRMMIA: Membership Inference Attacks on Memory in Chat Agents cites this paper.
MRMMIA: Membership Inference Attacks on Memory in Chat Agents Membership Inference Attacks against Machine Learning Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T12:13:27.066358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation d5737758-a6bf-472e-ae30-cd53d649d19f · inbound
idSCD: Identifying Training Datasets through Semantic Correlation Descriptors cites this paper.
idSCD: Identifying Training Datasets through Semantic Correlation Descriptors Membership Inference Attacks against Machine Learning Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:43:15.821782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 61619922-d8b1-4583-8885-01f84dba908f · inbound
It does what it says on the tin: safe synthetic data from coarsened margins cites this paper.
It does what it says on the tin: safe synthetic data from coarsened margins Membership Inference Attacks against Machine Learning Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T01:06:24.050366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation b1fac81d-969f-4991-8c37-860e857939f9 · inbound
It does what it says on the tin: safe synthetic data from coarsened margins cites this paper.
It does what it says on the tin: safe synthetic data from coarsened margins Membership Inference Attacks against Machine Learning Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:22:47.396276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 610b885f-adf4-4c21-a2d2-2f5740648475 · inbound
The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.
The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection Membership Inference Attacks against Machine Learning Models
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T09:51:50.468901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 6c76a8d7-ae5a-463b-ad10-b6dc718673ea · inbound
The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.
The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection Membership Inference Attacks against Machine Learning Models
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T00:39:16.172747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation fd72521c-4f0d-4f5b-9503-a5ed18169c06 · inbound
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Membership Inference Attacks against Machine Learning Models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T20:57:23.319721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 2c6bab15-1f13-498b-9215-d264b2747e9e · inbound
Exposing the Illusion of Erasure in Knowledge Editing for LLMs cites this paper.
Exposing the Illusion of Erasure in Knowledge Editing for LLMs Membership Inference Attacks against Machine Learning Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T10:09:44.296112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 5a2e66be-14b1-436b-9627-96bd025c704e · inbound
WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.
WARP: Weight-Space Analysis for Recovering Training Data Portfolios Membership Inference Attacks against Machine Learning Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T17:58:46.776216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.
Observation 9a68df50-837d-4478-807a-8f9e447ef829 · inbound
Auditing of Unlearning Algorithms cites this paper.
Auditing of Unlearning Algorithms Membership Inference Attacks against Machine Learning Models
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T21:35:37.702290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.