Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T07:37:11.846554Z
Paper Citation Record · LEDGER
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
As of 11 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2601.20043.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3445ff2e-695b-4dbe-965c-7d0af4b41880 · outbound
This paper cites an unresolved cited work.
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:37:11.828888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9242be2-e7af-4835-a713-fe8c9b519836 · outbound
This paper cites Following standard practice, we approximate this via a Gumbel distribution sample based on the discrete maximum of the GP on the training data.
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes Following standard practice, we approximate this via a Gumbel distribution sample based on the discrete maximum of the GP on the training data
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:37:11.833224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 723894f2-a044-4786-9049-d364cd1917ad · outbound
This paper cites simple-to-build QI stellarator.
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes simple-to-build QI stellarator
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:37:11.846554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f730a11-79bc-4c03-8941-f95456e78641 · outbound
This paper cites , πK, πnew).(27) 26.
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes , πK, πnew).(27) 26
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:37:11.837753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f3bc8df-142a-4631-b198-0ae894fbe6b2 · outbound
This paper cites In practice, this is approximated efficiently using Random Fourier Features (RFF).
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes In practice, this is approximated efficiently using Random Fourier Features (RFF)
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:37:11.842145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 637d9b4a-caa4-4b08-8a2f-7c7949d6f024 · outbound
This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Reference 523
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:37:11.822529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.