Paper Citation Record · LEDGER

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.28309.

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

pith.paper-citation-record.v1
2605.28309 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T14:04:14.589829Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f850d22d-e0bd-493b-8caa-5abe68a7a476 · outbound

This paper cites Benchmarking in Optimization: Best Practice and Open Issues.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Benchmarking in Optimization: Best Practice and Open Issues

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.378869Z

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 ec3adaa3-8829-4324-ac90-f20cbddd6356 · outbound

This paper cites PhD thesis, INRIA, 2009.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization PhD thesis, INRIA, 2009

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6837df3-d574-4655-8839-39df2b1e0916 · outbound

This paper cites an unresolved cited work.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f3d344-53a2-4c8f-ba19-ae16876f05d9 · outbound

This paper cites A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee6b6ea-1bc5-458d-99b7-d968a62c9868 · outbound

This paper cites On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms.Applied Soft Computing, 54:23–45, 2017.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms.Applied Soft Computing, 54:23–45, 2017

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5092eefa-bd63-4327-ac75-e9e31b222935 · outbound

This paper cites Adaptive estimation of the number of algorithm runs in stochastic optimization.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Adaptive estimation of the number of algorithm runs in stochastic optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be581d29-1122-4d7f-8215-89fccd84a830 · outbound

This paper cites Learning to assess the reliability of number-of-runs estimation in stochastic optimization, jan 2026.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Learning to assess the reliability of number-of-runs estimation in stochastic optimization, jan 2026

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4ed739-0c91-4a62-96de-a1500345f697 · outbound

This paper cites Experimental research in evolutionary computation.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Experimental research in evolutionary computation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9adb4c-b6a6-45b2-ae3e-8dee76bf0d80 · outbound

This paper cites A chess rating system for evolutionary algorithms: a new method for the comparison and ranking of evolutionary algorithms.Information Sciences, 277:656–679, 2014.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization A chess rating system for evolutionary algorithms: a new method for the comparison and ranking of evolutionary algorithms.Information Sciences, 277:656–679, 2014

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9078cb35-5fa0-44de-99cc-d8917206767a · outbound

This paper cites Identifying practical significance through statistical comparison of meta- heuristic stochastic optimization algorithms.Applied Soft Computing, 85:105862, 2019.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Identifying practical significance through statistical comparison of meta- heuristic stochastic optimization algorithms.Applied Soft Computing, 85:105862, 2019

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9210a2f4-2a7e-4fb6-8ae8-a7771a8d5ee5 · outbound

This paper cites Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77202e6a-1749-496c-9f16-d4d2f86791a1 · outbound

This paper cites Sample size estimation for power and accuracy in the experimental comparison of algorithms.Journal of Heuristics, 25:305–338, 2019.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Sample size estimation for power and accuracy in the experimental comparison of algorithms.Journal of Heuristics, 25:305–338, 2019

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c1164d-8209-4f85-be00-710b97457d59 · outbound

This paper cites Hansen, A.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Hansen, A

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c72bba-a429-4e8c-b9f9-6fa7fe930aa1 · outbound

This paper cites Rapin and O.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Rapin and O

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b5c3f5e-888b-4579-a49e-8cd46154a589 · outbound

This paper cites PhD thesis, East Tennessee State University, 2005.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization PhD thesis, East Tennessee State University, 2005

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf72cce2-0e94-4fe5-9369-60baf0b5032c · outbound

This paper cites A review of bootstrap confidence intervals.Journal of the Royal Statistical Society: Series B (Methodological), 50(3):338–354, 1988.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization A review of bootstrap confidence intervals.Journal of the Royal Statistical Society: Series B (Methodological), 50(3):338–354, 1988

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f7e24f3-b08b-4786-807b-644978122d23 · outbound

This paper cites Labeling methods for identifying outliers.International Journal of Statistics and Systems, 10(2):231–238, 2015.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Labeling methods for identifying outliers.International Journal of Statistics and Systems, 10(2):231–238, 2015

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec95f609-2b08-4792-9a7b-19833181f655 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Optuna: A next-generation hyperparameter optimization framework

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T14:04:14.589829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.