Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Utilizing Reinforcement Learning for de novo Drug Design
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2303.17615.
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 2026-08-08T20:18:09.982465Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T20:18:10.170252Z
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 d323661d-bb53-43a3-9a4c-496702d57ffa · inbound
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery cites this paper.
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery Utilizing Reinforcement Learning for de novo Drug Design
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T20:18:10.174588Z
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.