Paper Citation Record · LEDGER

Multi-Fidelity Methods for Optimization: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.09638.

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

pith.paper-citation-record.v1
2402.09638 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:38.658320Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b5016fd0-850a-4054-b3af-e25050df1b43 · inbound

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance cites this paper.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Multi-Fidelity Methods for Optimization: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:38.658320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c129dd6-f08b-4ce0-acd3-6cf7b99d6085 · inbound

Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently cites this paper.

Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently Multi-Fidelity Methods for Optimization: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:44:31.249791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa8968a-c040-4394-9d4f-cf81baadca63 · inbound

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization cites this paper.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Multi-Fidelity Methods for Optimization: A Survey

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T23:23:02.433224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c67239-739b-465b-990d-10e53cb7c889 · 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 Multi-Fidelity Methods for Optimization: A Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-13T20:27:45.196743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4279fb44-2bd0-4f58-b546-5eebef45ebb6 · inbound

A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity cites this paper.

A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity Multi-Fidelity Methods for Optimization: A Survey

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:56:24.762404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bcbb3577-0310-4ce2-9934-8774492bc23c · inbound

Constrained Bayesian Optimisation with Multiple Information Sources cites this paper.

Constrained Bayesian Optimisation with Multiple Information Sources Multi-Fidelity Methods for Optimization: A Survey

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:06.296450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.