Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tackling Over-Smoothing for General Graph Convolutional Networks
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2008.09864.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:29:30.378100Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:49:41.988086Z
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 87bfce35-eb18-4e44-91b7-b1b7dba53bf0 · inbound
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Tackling Over-Smoothing for General Graph Convolutional Networks
Reference 178
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:49:41.990103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68d1eea4-f416-475e-8866-f95ccf3f527b · 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 Tackling Over-Smoothing for General Graph Convolutional Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:29:30.378100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa6174fc-81e2-475d-9756-8b682838b2a7 · inbound
Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding cites this paper.
Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding Tackling Over-Smoothing for General Graph Convolutional Networks
Reference 154
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:45:52.647181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.