Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Non-Gaussian Process Regression
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.03117.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:17:39.075398Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:15:15.882224Z
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 0f497521-2457-4f6a-9c29-29a3789c5c42 · inbound
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review cites this paper.
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Non-Gaussian Process Regression
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:17:39.075398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1d6f957-7116-4e86-b3f4-d39e8b3281ba · inbound
Bayesian Non-Parametric Inference for L\'evy Measures in State-Space Models cites this paper.
Bayesian Non-Parametric Inference for L\'evy Measures in State-Space Models Non-Gaussian Process Regression
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:15:15.961206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d01e6972-0e46-4606-bb0b-9b6968fe551e · inbound
Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data cites this paper.
Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data Non-Gaussian Process Regression
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T20:27:45.196743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.