Paper Citation Record · LEDGER

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.02331.

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

pith.paper-citation-record.v1
2507.02331 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:37:51.434938Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 364cc507-4317-43ba-8df7-60481caa1e44 · outbound

This paper cites Black-box optimization: Meth- ods and applications,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Black-box optimization: Meth- ods and applications,

Reference 1

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Observation 14d33dff-30ae-4738-a3f0-3dc23904d450 · outbound

This paper cites An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:56.547439Z

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Observation f0c05e6b-5489-404d-b4f8-17dc358673c8 · outbound

This paper cites A comparative study of large-scale variants of cma-es,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes A comparative study of large-scale variants of cma-es,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:56.420181Z

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Observation d58169a3-2024-4cb4-90bc-7d3c28119c1f · outbound

This paper cites Dif- ferential evolution: A review of more than two decades of research,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Dif- ferential evolution: A review of more than two decades of research,

Reference 4

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Observation ea588b43-7f4c-41c1-b478-3c178eddb916 · outbound

This paper cites Particle swarm optimization,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Particle swarm optimization,

Reference 5

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Observation ef69f774-4276-4e2f-8946-5457cc49f788 · outbound

This paper cites The irace package: Iterated racing for automatic algorithm configuration,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes The irace package: Iterated racing for automatic algorithm configuration,

Reference 6

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Observation a098afcc-e5fd-4e14-901e-b1a826be2114 · outbound

This paper cites The sequential parameter optimization toolbox,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes The sequential parameter optimization toolbox,

Reference 7

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Observation 0459bc3f-b06d-496f-a174-057d52677dee · outbound

This paper cites Recent advances in selection hyper-heuristics,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Recent advances in selection hyper-heuristics,

Reference 8

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Observation 619e302f-f208-4872-8224-660ea32f8231 · outbound

This paper cites Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules,

Reference 9

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Observation d21a25af-6c0d-4c24-a4ac-9488505a09fb · outbound

This paper cites Towards an adaptive cma- es configurator,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Towards an adaptive cma- es configurator,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:55.518715Z

Source-reported events for the cited work

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Observation 35a8b6fc-9321-4e84-b665-fe60655e8bb9 · outbound

This paper cites Modular differential evolution,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Modular differential evolution,

Reference 11

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Observation 8e64f5a5-a247-4781-87c5-507b17ac192e · outbound

This paper cites Pso-x: A component-based framework for the automatic design of particle swarm optimization algorithms,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Pso-x: A component-based framework for the automatic design of particle swarm optimization algorithms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:55.268309Z

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Observation ee9efb6f-6751-48b0-b635-3f166fced045 · outbound

This paper cites An efficient approach for assessing hyperparameter importance,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes An efficient approach for assessing hyperparameter importance,

Reference 13

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Observation 9b4e3d6c-7516-4743-adfe-eb46534da704 · outbound

This paper cites The many shapley values for model explanation,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes The many shapley values for model explanation,

Reference 14

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Observation 044b6c3a-2c9c-44a0-92c0-2e51e2edfd56 · outbound

This paper cites Quantifying individual and joint module impact in modular optimization frameworks,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Quantifying individual and joint module impact in modular optimization frameworks,

Reference 15

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Observation c17e3754-50b4-4949-91c2-aad0477f1252 · outbound

This paper cites Explainable Benchmarking for Iterative Optimization Heuristics.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Explainable Benchmarking for Iterative Optimization Heuristics

Reference 16

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Source-reported events for the cited work

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Observation 42d0f23b-7ea9-4b99-9c9e-b296062e6e16 · outbound

This paper cites Algorithm con- figuration data mining for CMA evolution strategies,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Algorithm con- figuration data mining for CMA evolution strategies,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:54.695227Z

Source-reported events for the cited work

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Observation ce71f361-9375-4ddf-b05c-f4e59980a02e · outbound

This paper cites Extending instance space analysis to algorithm configuration spaces,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Extending instance space analysis to algorithm configuration spaces,

Reference 18

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Observation ab4d8acd-6186-4e9c-ba3c-964174ab4f42 · outbound

This paper cites Algorithm instance footprint: Separating easily solvable and challenging problem instances,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Algorithm instance footprint: Separating easily solvable and challenging problem instances,

Reference 19

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Observation 35ac2b63-208a-4085-b8af-39f0901ee1e1 · outbound

This paper cites Comparing solvability patterns of algorithms across diverse problem landscapes,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Comparing solvability patterns of algorithms across diverse problem landscapes,

Reference 20

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Observation 81e49aff-6a6d-4c99-9a86-5b8117f8e7fc · outbound

This paper cites Coco: A platform for comparing continuous optimizers in a black-box setting,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Coco: A platform for comparing continuous optimizers in a black-box setting,

Reference 21

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Observation 40cc4113-276b-4338-9fd7-28ffcee8868c · outbound

This paper cites Benchmarking foot- prints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Benchmarking foot- prints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.583814Z

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Observation b22e3029-3e79-41d1-bc31-567adfa1c7b6 · outbound

This paper cites Towards better evaluation of multi- target regression models,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Towards better evaluation of multi- target regression models,

Reference 23

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Observation 91a6d2b5-e655-4dd4-b400-c3d63008751e · outbound

This paper cites Using machine learning methods to assess mod- ule performance contribution in modular optimization frameworks,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Using machine learning methods to assess mod- ule performance contribution in modular optimization frameworks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.330550Z

Source-reported events for the cited work

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Observation 70dd71a1-5c65-46d1-863d-cf3f9a77e785 · outbound

This paper cites Exploratory landscape analysis is strongly sensitive to the sampling strategy,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Exploratory landscape analysis is strongly sensitive to the sampling strategy,

Reference 25

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Observation 42f8afb9-9deb-4d8c-82a8-08c6dd743b36 · outbound

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Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Regularization and variable selection via the elastic net,

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This paper cites A random forest guided tour,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes A random forest guided tour,

Reference 27

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Observation 7e00a333-43b5-4c20-9324-40ce34900d6a · outbound

This paper cites Understanding the difficulty of train- ing deep feedforward neural networks,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Understanding the difficulty of train- ing deep feedforward neural networks,

Reference 28

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Observation 84b745c6-8e20-4954-8a5f-84598a9b9d48 · outbound

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Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Scikit-learn: Machine learning in python,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.779928Z

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Observation 76bd3b8d-1aad-4c08-8e2e-dbd4f1a9876c · outbound

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Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Chollet et al

Reference 30

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Observation 7b86c46d-3eea-4ced-a13d-7aeb508e34cf · outbound

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

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Optuna: A next-generation hyperparameter optimization framework,

Reference 31

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Observation 6117df4a-33a7-4149-8617-d35e5157d15c · outbound

This paper cites A unified approach to interpreting model predictions,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes A unified approach to interpreting model predictions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.315096Z

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Observation 3996b930-15de-45be-a754-4a41463af4a4 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Modern hierarchical, agglomerative clustering algorithms

Reference 33

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Source-reported events for the cited work

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This paper cites Ma-bbob: A problem generator for black-box optimization using affine combinations and shifts,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Ma-bbob: A problem generator for black-box optimization using affine combinations and shifts,

Reference 34

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This paper cites Ps-aas: Portfolio selection for automated algorithm selection in black-box optimiza- tion,.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Ps-aas: Portfolio selection for automated algorithm selection in black-box optimiza- tion,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.835277Z

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Observation f5dbd2ae-d358-4471-99ac-1a867cde210d · outbound

This paper cites Available: http://papers.nips.cc/paper/7062-a-unified- approach-to-interpreting-model-predictions.pdf.

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes Available: http://papers.nips.cc/paper/7062-a-unified- approach-to-interpreting-model-predictions.pdf

Reference 4774

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.188038Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

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