Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.06605.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:29:30.508169Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:57:23.424215Z
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 777c29a2-6548-4f9e-9a1d-3e74827159cb · inbound
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense cites this paper.
Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.425734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 43c88991-ab55-43f6-990e-2ee6e502ed5e · inbound
From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks cites this paper.
From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:29:30.508169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.