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Paper Citation Record · LEDGER

User-Level Membership Inference Attack against Metric Embedding Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.02077.

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

pith.paper-citation-record.v1
2203.02077 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:54:57.723524Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T18:54:57.984563Z

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 20493039-ead3-4e65-844d-63aebb348456 · inbound

CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning cites this paper.

CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning User-Level Membership Inference Attack against Metric Embedding Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:54:57.991861Z

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.

source=pdf_text observed=2026-08-12T18:54:57.723524Z digest=sha256:fb8eae343f84737b6b6642fd781e1bf9e4b50f30a9839ba292e9a6d85d3ec7ee

Observation 6f81873d-2650-4c87-a5d1-d297ef7e38c9 · inbound

Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models cites this paper.

Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models User-Level Membership Inference Attack against Metric Embedding Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T00:17:40.111242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:17:40.111242Z digest=sha256:8dde7229925647122998fa5b3ef9844cd114fdc115cf60bbe1c3855c81081f5a