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Paper Citation Record · LEDGER

Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.16275.

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

pith.paper-citation-record.v1
2401.16275 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:01:32.282518Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:06:24.440624Z

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 b000edb9-d301-4295-8ae1-d5d93011c8c4 · inbound

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach cites this paper.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:06:24.492146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.912613Z digest=sha256:0e6b450bccd8ffae0f5c7eef9fb208750eb4e21add9635f1a4c1a96e55aae553

Observation e6dd9c53-fc84-4468-9a55-94411dd30ca8 · inbound

Causal Mediation Analysis for Network Data with Graph Neural Network cites this paper.

Causal Mediation Analysis for Network Data with Graph Neural Network Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T15:01:32.282518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:01:32.282518Z digest=sha256:f82c9610cf6a7938153c47c45657ccbff1b648b832af8c26f108737a9e6e5e54