Paper Citation Record · LEDGER

Bayesian optimization as a flexible and efficient design framework for sustainable process systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.16373.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.16373 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:41:09.423440Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T19:08:20.693521Z

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 595ef5b5-998f-42d8-96ac-df459501a9e8 · inbound

Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation cites this paper.

Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Bayesian optimization as a flexible and efficient design framework for sustainable process systems

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:08:20.697875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a82e7633-ed94-4f86-9d7c-dc4a8830b03f · inbound

EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization cites this paper.

EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Bayesian optimization as a flexible and efficient design framework for sustainable process systems

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:53:19.243560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 218d1c5c-9e47-480d-9bfd-8f5fcc4654f5 · inbound

Surrogate-Based Optimization Techniques for Process Systems Engineering cites this paper.

Surrogate-Based Optimization Techniques for Process Systems Engineering Bayesian optimization as a flexible and efficient design framework for sustainable process systems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T12:41:09.423440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a74a1d-9871-40cf-b4df-3a8d1d0321f6 · inbound

Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization cites this paper.

Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization Bayesian optimization as a flexible and efficient design framework for sustainable process systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:29.549795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.