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Paper Citation Record · LEDGER

How Powerful are Spectral Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.11172.

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

pith.paper-citation-record.v1
2205.11172 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:06:08.998691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:01:33.909652Z

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 65450433-2fe8-4ab6-be13-e05df06dfe16 · inbound

Spectral Manifold Harmonization for Graph Imbalanced Regression cites this paper.

Spectral Manifold Harmonization for Graph Imbalanced Regression How Powerful are Spectral Graph Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:08.998691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:08.998691Z digest=sha256:9f8435a420be73d8873e93bb162914b6100e3650cbfba5f15ff4064a4d299603

Observation 8cdfdaa3-15ba-4a31-b10e-97358a147fd9 · inbound

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression cites this paper.

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression How Powerful are Spectral Graph Neural Networks

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:01:33.913901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-22T13:00:19.490600Z digest=sha256:d79973221081d11cf835ff511665ded6a4194a0d684c63ceef7dbf8323f1ec81