Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03494.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:14:25.786033Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T18:15:11.223103Z
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 7cb73bc2-a8d9-425b-866b-6ecfa4846dc8 · inbound
Neural Genetic Search in Discrete Spaces cites this paper.
Neural Genetic Search in Discrete Spaces Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T18:15:11.227944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2fb65fa6-c723-4ae8-b3e9-d05878804f38 · inbound
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors cites this paper.
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:47:42.992064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41b4acce-77c1-4a24-8ee8-eb4108363e01 · inbound
DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models cites this paper.
DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:06:13.242909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.