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Paper Citation Record · LEDGER

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.05537.

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

pith.paper-citation-record.v1
2005.05537 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 2026-08-07T23:05:48.623222Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:56:54.057471Z

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 3739ab57-e42a-4cfb-812e-1113ccc89aee · inbound

Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities cites this paper.

Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T23:05:48.623222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:05:48.623222Z digest=sha256:c58b5b0e1a529ada4be8f6622683ae51682f614630f0bb3cbfea74c27eedd68e

Observation 6535f20c-648a-42e1-ace2-652e3d3fb1b5 · inbound

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis cites this paper.

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:56:54.064132Z

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=2026-08-05T11:56:53.988254Z digest=sha256:afa760518d0e7b512099d91effe768968b8564682c9b5232f60a49d142bc54e1