Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.06462.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:19:11.672426Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
25
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7463855a-074e-40a9-a843-fa8c54b09675 · inbound
Graph Neural Networks for Graphs with Heterophily: A Survey cites this paper.
Graph Neural Networks for Graphs with Heterophily: A Survey Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T12:19:27.080401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a765188a-2ced-40dd-bc56-2ed2fabae5d1 · inbound
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation cites this paper.
SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T08:46:05.596618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2e07ee51-5caf-41d3-85ba-3572be7e65fb · inbound
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs cites this paper.
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:19:11.672426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 208dfd9d-b099-4b88-8883-7bf81341ccd8 · 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 Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Reference 121
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T22:13:57.696356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 64754dd2-88fe-47aa-bf1a-f94c4607419a · inbound
FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.
FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Reference 98
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T09:45:40.699698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.