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Paper Citation Record · LEDGER

Auto-GNN: Neural Architecture Search of Graph Neural Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.03184.

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

pith.paper-citation-record.v1
1909.03184 v2

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:10:54.410324Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:40:40.474257Z

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 b32b9f0a-2aaf-46dd-a9c6-303952fcd5c4 · inbound

Automated Heterogeneous Network learning with Non-Recursive Message Passing cites this paper.

Automated Heterogeneous Network learning with Non-Recursive Message Passing Auto-GNN: Neural Architecture Search of Graph Neural Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T21:10:54.410324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:10:54.410324Z digest=sha256:92a50a00b75d08c25e5ad300fd91e3396cf54355f5a1deb60d1e2bae4f07b13a

Observation d67dfa80-9947-4c54-877e-e4fbe64eb643 · inbound

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation cites this paper.

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation Auto-GNN: Neural Architecture Search of Graph Neural Networks

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:40.476722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T18:13:49.834765Z digest=sha256:f30b79042c6bc7270cc27700a9614a8b4acaef5692cd11ab25ba5232abf47345