Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.10988.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:14:04.184954Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:50:59.403352Z
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 53d50506-3922-493e-b0cd-582a225a13eb · inbound
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion cites this paper.
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:14:04.184954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e2c562c-a75b-4a89-9426-e302fbf59db0 · inbound
Graph Neural Networks in Modern AI-aided Drug Discovery cites this paper.
Graph Neural Networks in Modern AI-aided Drug Discovery Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:50:59.406887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.