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Paper Citation Record · LEDGER

Link Stealing Attacks Against Inductive Graph Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.05784.

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

pith.paper-citation-record.v1
2405.05784 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:53:48.184553Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:12:39.871652Z

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 6fe65f29-6a87-43bd-9ee7-c91d36ec0b04 · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks Link Stealing Attacks Against Inductive Graph Neural Networks

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-12T18:53:48.184553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:53:48.184553Z digest=sha256:d9975fae603fbe6a8584f289b019a316a09f5a1316bee55af7dcbe21ee255113

Observation a4874f45-6361-4166-99ec-74ac8124b825 · inbound

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates cites this paper.

Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates Link Stealing Attacks Against Inductive Graph Neural Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T23:29:54.623699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:29:54.623699Z digest=sha256:1830026b19d40085cfda3dfb5e13170be1c6b6360275336f2c44062d72971193

Observation 3e6d8192-7608-46df-a698-24196fde3cfc · inbound

GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models cites this paper.

GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models Link Stealing Attacks Against Inductive Graph Neural Networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:15.890584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:15.890584Z digest=sha256:5835338ded9728151061f21cf3fff89d3890b2e4452ffd24cf451c23d1094974

Observation f29e630b-828d-4a43-948e-e3628bea76c8 · 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 Link Stealing Attacks Against Inductive Graph Neural Networks

Reference 227

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T18:12:39.877394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T18:12:38.008841Z digest=sha256:fceae5deca94195b10d142b1bc15024ccf10f89db5eaf43ae79227720a75f048