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Paper Citation Record · LEDGER

The Expressive Power of Graph Neural Networks: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.08235.

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

pith.paper-citation-record.v1
2308.08235 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:13.331522Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:41:21.963304Z

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 44c577d2-db20-4cf6-92fb-cc1f2c87ddb2 · inbound

Chordless Structure: A Pathway to Simple and Expressive GNNs cites this paper.

Chordless Structure: A Pathway to Simple and Expressive GNNs The Expressive Power of Graph Neural Networks: A Survey

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:23:13.331522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:13.331522Z digest=sha256:4825887819f0b815a84dd1cda41beb73d167c95e7bb816c76de70c33db25c83d

Observation a1efca9d-d4a9-4483-a920-fc8ab25bc5b3 · inbound

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks cites this paper.

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks The Expressive Power of Graph Neural Networks: A Survey

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:41:22.035084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T18:41:21.244827Z digest=sha256:c4df143043b3d9febf908695286a1d27f74fd7adf599c35c5cd672589da54ca5