Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Bayesian Optimization via Learning Correlated Latent Space
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2310.20258.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T05:45:47.563344Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T05:45:56.046248Z
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 10ecb287-9743-4ea2-9e0b-9bdee090579b · inbound
Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides cites this paper.
Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Advancing Bayesian Optimization via Learning Correlated Latent Space
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:45:56.048753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.