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Paper Citation Record · LEDGER

Adversarial Defense Framework for Graph Neural Network

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.03679.

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

pith.paper-citation-record.v1
1905.03679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:30:56.110482Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:39:57.527012Z

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 89356eb6-8b32-4b24-8ee5-0fa506d96f87 · inbound

REGE: A Method for Incorporating Uncertainty in Graph Embeddings cites this paper.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Adversarial Defense Framework for Graph Neural Network

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:56.110482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:56.110482Z digest=sha256:618dc5d2044abd501828cf70f60a60a5e08810d42cc2d1e8bdbf520972f164f8

Observation 757d8c29-b582-4f81-aab0-12e82f492667 · inbound

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Adversarial Defense Framework for Graph Neural Network

Reference 121

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:39:57.533475Z

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=2026-08-05T15:39:55.799389Z digest=sha256:7e2153c96f1b8b179f86ef3324371f255b56be771eeb40169fa2ddf61310f4ff

Observation ad0d5678-af6c-4cfb-84b6-1c5f835479a1 · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Adversarial Defense Framework for Graph Neural Network

Reference 101

Resolution
unresolved
no resolver link, observed 2026-07-31T04:39:47.134036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:47.134036Z digest=sha256:1a6daff3eb937bfde92c11a5a44aca8bc42e64275b02fa5d9d4f3313bb1b8215