Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1708.08227.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:56:29.169761Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T12:26:50.517008Z
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 d4c46460-27a7-4400-9762-c9a76fb18d68 · inbound
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning cites this paper.
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T12:26:50.524190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2b75e6e4-ec5c-480a-b7fa-88b612550ce3 · inbound
QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents cites this paper.
QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:56:29.169761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2025b2cb-5301-4cb2-9df0-d6d4762fd6b5 · inbound
ERank in Latent Space as an Image-Complexity and Richness Measure cites this paper.
ERank in Latent Space as an Image-Complexity and Richness Measure ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:48:55.542215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.