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Paper Citation Record · LEDGER

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.05609.

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

pith.paper-citation-record.v1
2106.05609 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:20:58.727043Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:01:26.176401Z

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 f0113c2e-fa3e-447b-9752-ce615c03ca3a · inbound

MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators cites this paper.

MixGCN: Scalable GCN Training by Mixture of Parallelism and Mixture of Accelerators GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:58.727043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:20:58.727043Z digest=sha256:211284b2c266575ff5f5b3418963b077b6f0691cb30af63528db542e6b60ad8a

Observation 132a7997-a909-4e53-a043-ab8412976d47 · inbound

Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation cites this paper.

Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:26.178841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T04:38:31.839273Z digest=sha256:9c279e774e7f2971cf9fa12ff0c79785b40f41ab3cb85dd9473f0acc447aa0ea