Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Membership Inference Attacks on Large-Scale Models: A Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.19338.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:05.586426Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:25:19.258369Z
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 0ec80a0b-0802-449e-965a-9f21b2726c38 · inbound
Vid-SME: Membership Inference Attacks against Large Video Understanding Models cites this paper.
Vid-SME: Membership Inference Attacks against Large Video Understanding Models Membership Inference Attacks on Large-Scale Models: A Survey
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:50:05.586426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5491da36-1a08-456f-bdd1-61288b6849ee · inbound
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing cites this paper.
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing Membership Inference Attacks on Large-Scale Models: A Survey
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:47:59.096246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eecccad0-2f74-4a63-a44a-eb5bee164c89 · inbound
AI Security Research Should Better Incentivize Defense Research cites this paper.
AI Security Research Should Better Incentivize Defense Research Membership Inference Attacks on Large-Scale Models: A Survey
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:25:19.261187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.