Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Geometric deep learning on graphs and manifolds using mixture model CNNs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.08402.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T08:32:47.166531Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T08:49:41.921082Z
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 3f505155-866f-4486-9a5d-b7b0dae1e1fd · inbound
Graph Attention Networks cites this paper.
Graph Attention Networks Geometric deep learning on graphs and manifolds using mixture model CNNs
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T18:05:01.874659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0e531f81-c430-4754-a3e4-0ef20b71992c · inbound
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? cites this paper.
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? Geometric deep learning on graphs and manifolds using mixture model CNNs
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:33:14.869968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 76a1ec9c-083a-47d5-aa2a-16b9cd5110df · inbound
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Geometric deep learning on graphs and manifolds using mixture model CNNs
Reference 267
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T08:49:41.922225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.