Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2107.11889.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-06-28T15:09:24.772602Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:37:37.632965Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation cf868807-7cba-4021-9aa5-6739e67fdcb3 · inbound
Subgraph Concept Networks: Concept Levels in Graph Classification GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Reference 5
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 a6ccc499-0aa2-4be8-895d-436f39d9babb · inbound
Concept Graph Convolutions: Message Passing in the Concept Space GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Reference 5
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 9a5c8175-0988-4ea8-9802-753d3bff99c6 · inbound
AIMing for Standardised Explainability Evaluation in GNNs: A Framework and Case Study on Graph Kernel Networks GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Reference 18
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 01f77b41-9fb4-486d-bf24-68b1da0361e7 · inbound
Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Reference 31
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 dc75a548-95fa-4069-bc81-02ec7d3d3f58 · inbound
In Defense of Information Leakage in Concept-based Models GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Reference 219
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.