Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01196.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:14:08.994459Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:11:19.221340Z
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 06970426-3ea5-4bf9-8e3c-e749aa59f6ae · inbound
Robust designs for Gaussian process emulation of computer experiments cites this paper.
Robust designs for Gaussian process emulation of computer experiments Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T18:11:19.353433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cdabcc7a-6573-4da1-9a43-a41205814d1e · inbound
The BdryMat\'ern GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling cites this paper.
The BdryMat\'ern GP: Reliable incorporation of boundary information on irregular domains for Gaussian process modeling Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:14:08.994459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cce24068-ea21-4e11-8449-a018ca9298bd · inbound
Neural Low-Discrepancy Sequences cites this paper.
Neural Low-Discrepancy Sequences Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:42:12.608293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.