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Paper Citation Record · LEDGER

GraphDefense: Towards Robust Graph Convolutional Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.04429.

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

pith.paper-citation-record.v1
1911.04429 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:28:20.609745Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.433138Z

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 c3f9edc2-4ef1-4308-90b0-ab36b260f94a · inbound

Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge cites this paper.

Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge GraphDefense: Towards Robust Graph Convolutional Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:28:20.609745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:28:20.609745Z digest=sha256:1a5b24a77fe8d76d1d81553eca06dde6962220736226f5c0a883ab061b5fdc26

Observation e23553b9-89b0-4328-9411-81464fcd9444 · inbound

Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense cites this paper.

Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense GraphDefense: Towards Robust Graph Convolutional Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.434569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T20:01:09.550423Z digest=sha256:e9a9fb27747ca01bc95ac9ba5a9dddfc766bbf7c11cef1902d2925aaabc1bd06