Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.15523.
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 2026-08-07T13:43:17.544244Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:42:33.191540Z
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 6b48a2fb-c241-48d3-b3d7-6fe4aa2e1a12 · inbound
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:33.195434Z
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 7dc66584-b041-4c22-a203-b071646f7e24 · inbound
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection cites this paper.
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:43:17.544244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6af4b54c-7ea9-4148-89c9-9daa0366e83f · inbound
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach cites this paper.
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:11.071235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.