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Paper Citation Record · LEDGER

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.16375.

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

pith.paper-citation-record.v1
2308.16375 v3

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:12:06.598249Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:12:38.791459Z

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 6c4d3c02-a7d2-4aa1-84ef-93d6409f5db6 · inbound

Prompt-based Unifying Inference Attack on Graph Neural Networks cites this paper.

Prompt-based Unifying Inference Attack on Graph Neural Networks A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T11:12:06.598249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:12:06.598249Z digest=sha256:9d40be0348812cb903f3c4bfec3ba779ef351dabf660df5d6c5b46d6afc9e3af

Observation cffa4b3f-211d-4207-b00e-8e121f670fc8 · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

Reference 258

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:12:38.798673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T18:12:38.383367Z digest=sha256:e0261eebd7e3a41da759dafa38cd6a5b9a9ebbe8396d3b897ddcd7a9ab87f0c6