Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.04739.
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 2026-08-06T20:09:09.409547Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 8322e127-2995-4028-aec7-8a9cd1b89bde · inbound
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces cites this paper.
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:09:09.409547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 297a7cfa-0a0a-407d-84d8-bec6f313b4fd · inbound
Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial cites this paper.
Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:08:20.183084Z
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.