Paper Citation Record · LEDGER

Towards Demystifying Membership Inference Attacks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1807.09173.

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

pith.paper-citation-record.v1
1807.09173 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:12:52.261628Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T12:39:50.036926Z

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 f028185c-1aa8-4731-b010-0f0df81ca8b5 · inbound

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection cites this paper.

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Towards Demystifying Membership Inference Attacks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T12:12:52.261628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228551f7-4808-4cb8-9118-07ffbda677cb · inbound

Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness cites this paper.

Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness Towards Demystifying Membership Inference Attacks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T10:28:44.661742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34688fc2-5f11-4ec7-9861-09185af59f13 · inbound

Membership Inference Attacks Against Vision-Language Models cites this paper.

Membership Inference Attacks Against Vision-Language Models Towards Demystifying Membership Inference Attacks

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:11.086487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffc2079-44e5-47ad-97ed-a3e271677ca4 · inbound

Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning cites this paper.

Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning Towards Demystifying Membership Inference Attacks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:39.475330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51dd735e-9343-44c8-a790-a05e4c2b296f · 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 Towards Demystifying Membership Inference Attacks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T04:42:13.904513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f220bff8-bd76-40d0-8a12-47c7c2b7adec · inbound

Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions cites this paper.

Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions Towards Demystifying Membership Inference Attacks

Reference 222

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T12:39:50.038114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.