Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.13993.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:10:14.878955Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T06:06:41.478783Z
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 c7778ff5-ca64-44be-a405-ab1fe5829121 · inbound
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions cites this paper.
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:10:14.878955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d7f974b-e600-479f-82cc-2df8bf9074a5 · inbound
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:31:39.327731Z
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.
Observation 95532633-8fcf-45f8-abb1-f3c0d105a49f · inbound
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Reference 157
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:46:06.738593Z
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.
Observation 69d13b10-77c5-4ea6-a486-3752f2e58d20 · inbound
Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning cites this paper.
Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Reference 162
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T06:06:41.480091Z
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.
Observation 92480257-2897-41b4-ac2e-403a8f65518c · inbound
Efficient Recommendations via Graph Coarsening and Label Propagation cites this paper.
Efficient Recommendations via Graph Coarsening and Label Propagation Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:17:56.831604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.