Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Neural Networks for Molecules
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.05582.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:17.394143Z
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
3
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 eea02745-72d2-4315-8281-42ec6ac5f44b · 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 Graph Neural Networks for Molecules
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:43:17.394143Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc8d3094-3c8d-4d8d-bb6e-3702168123d1 · inbound
Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems cites this paper.
Graph Neural Network Approach to Predicting Magnetization in Quasi-One-Dimensional Ising Systems Graph Neural Networks for Molecules
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:52:18.960308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95556a25-8768-48dd-8ba5-1e553884bef9 · inbound
Closing the Prior-Posterior Loop: Self-Reflective Molecular Design with Analysis-Driven LLM Iteration cites this paper.
Closing the Prior-Posterior Loop: Self-Reflective Molecular Design with Analysis-Driven LLM Iteration Graph Neural Networks for Molecules
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T14:40:57.959643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.