Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:25:45.796036Z
Paper Citation Record · LEDGER
Comment on "A Note on Over-Smoothing for Graph Neural Networks"
As of 7 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2509.04178.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation bdabdcd1-bff2-4c12-bafc-04c07181b95e · outbound
This paper cites A Note on Over-Smoothing for Graph Neural Networks.
Comment on "A Note on Over-Smoothing for Graph Neural Networks" A Note on Over-Smoothing for Graph Neural Networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:25:45.787593Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd8d2e05-9274-4a89-96ba-34b58cd67336 · outbound
This paper cites an unresolved cited work.
Comment on "A Note on Over-Smoothing for Graph Neural Networks" Unresolved cited work
Reference 2019
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T10:25:45.846748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b2900aa6-760c-4025-a7fb-5c3c8dbb1e96 · outbound
This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
Comment on "A Note on Over-Smoothing for Graph Neural Networks" Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:25:45.791745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.