Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.10701.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:00:03.531100Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:23:13.415593Z
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 d315e25a-eab8-4b0b-8cb1-78dd85a33725 · inbound
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks cites this paper.
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:00:03.531100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64f069ac-100f-4c22-8437-ac065944a69f · inbound
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models cites this paper.
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:32:21.829688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff99a6c3-f4c5-4123-957e-d1daa19e3488 · inbound
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing cites this paper.
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:52:33.626180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9818c97-630e-45f3-b6df-d5b95666e21b · inbound
Resolving Oversmoothing with Opinion Dissensus cites this paper.
Resolving Oversmoothing with Opinion Dissensus A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:29:27.891714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c9195be-2a94-4ea8-aa68-69e4e3deb947 · inbound
Chordless Structure: A Pathway to Simple and Expressive GNNs cites this paper.
Chordless Structure: A Pathway to Simple and Expressive GNNs A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:23:13.422117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.