Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.15127.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:24:57.183603Z
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
2
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 965abd38-b443-4293-9d68-374e3f5f63cf · inbound
Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective cites this paper.
Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:24:57.183603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d351de9-4476-49a5-880c-d0cff56865fb · inbound
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T11:09:23.765304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.