Paper Citation Record · LEDGER

Constrained Multi-Objective Optimization for Automated Machine Learning

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.04909.

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

pith.paper-citation-record.v1
1908.04909 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43730e73-5cd8-40c2-9c12-9c8221c094f3 · outbound

This paper cites Cloud automl BETA,.

Constrained Multi-Objective Optimization for Automated Machine Learning Cloud automl BETA,

Reference 1

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Observation f18b7ad1-da2d-4e08-bd91-cae9f299ef63 · outbound

This paper cites [Online].

Constrained Multi-Objective Optimization for Automated Machine Learning [Online]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.948060Z

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Observation fb064b48-61d5-4dde-bf81-4000f52b6f39 · outbound

This paper cites Open sourcing transmogrifai,.

Constrained Multi-Objective Optimization for Automated Machine Learning Open sourcing transmogrifai,

Reference 3

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This paper cites Efﬁcient and robust automated machine learning,.

Constrained Multi-Objective Optimization for Automated Machine Learning Efﬁcient and robust automated machine learning,

Reference 4

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This paper cites Auto-weka 2.0: Automatic model selection and hyperparameter opti- mization in weka,.

Constrained Multi-Objective Optimization for Automated Machine Learning Auto-weka 2.0: Automatic model selection and hyperparameter opti- mization in weka,

Reference 5

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Observation 39898601-8bd5-4e81-8f87-2cbddab1d65e · outbound

This paper cites Automl: Automatic machine learning,.

Constrained Multi-Objective Optimization for Automated Machine Learning Automl: Automatic machine learning,

Reference 6

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Observation 8fbd922e-a668-47a9-9ac9-dfeee78579e7 · outbound

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Constrained Multi-Objective Optimization for Automated Machine Learning Unresolved cited work

Reference 7

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Observation 5dcaa675-2a46-4f6d-a22a-a6be162f315a · outbound

This paper cites An experimental comparison of performance measures for classiﬁcation,.

Constrained Multi-Objective Optimization for Automated Machine Learning An experimental comparison of performance measures for classiﬁcation,

Reference 8

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Observation cbffa74b-0b5e-470b-ba0a-86811379f53d · outbound

This paper cites Evaluation: From precision, recall and f-factor to roc, informedness, markedness & correlation,.

Constrained Multi-Objective Optimization for Automated Machine Learning Evaluation: From precision, recall and f-factor to roc, informedness, markedness & correlation,

Reference 9

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Observation 925d7d69-17a4-4852-80fd-87205940cb14 · outbound

This paper cites Why quality assessment of multiobjective optimizers is difﬁcult,.

Constrained Multi-Objective Optimization for Automated Machine Learning Why quality assessment of multiobjective optimizers is difﬁcult,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.824672Z

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Observation 74f1c8dc-8068-4c19-a805-0c00a892e2c6 · outbound

This paper cites Comparison of the predicted and observed secondary structure of t4 phage lysozyme,.

Constrained Multi-Objective Optimization for Automated Machine Learning Comparison of the predicted and observed secondary structure of t4 phage lysozyme,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.808649Z

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Observation 7c3ff75c-d2b4-4474-82a7-27e961195867 · outbound

This paper cites The limitations of fraud detection today, and its future with bolt,.

Constrained Multi-Objective Optimization for Automated Machine Learning The limitations of fraud detection today, and its future with bolt,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.793050Z

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Observation 80c7be47-59b5-4f0e-b7a0-15930256188e · outbound

This paper cites Pareto-based multiobjective machine learning: An overview and case studies,.

Constrained Multi-Objective Optimization for Automated Machine Learning Pareto-based multiobjective machine learning: An overview and case studies,

Reference 13

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Observation a4053918-a451-4cf3-84f9-2685beec969d · outbound

This paper cites Comparison of multiobjective evolutionary algorithms: Empirical results,.

Constrained Multi-Objective Optimization for Automated Machine Learning Comparison of multiobjective evolutionary algorithms: Empirical results,

Reference 14

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Observation bc51d849-7d88-437e-b280-2928125ca25c · outbound

This paper cites Jin, Ed., Multi-Objective Machine Learning , ser.

Constrained Multi-Objective Optimization for Automated Machine Learning Jin, Ed., Multi-Objective Machine Learning , ser

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.746432Z

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Observation ad7e5953-fa1b-4401-af1b-e9bbf9844fbe · outbound

This paper cites AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

Constrained Multi-Objective Optimization for Automated Machine Learning AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Reference 16

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Observation fb83a282-8509-406f-ba87-0011b3c86e29 · outbound

This paper cites Pareto- optimal multi-objective dimensionality reduction deep auto-encoder for mammography classiﬁcation,.

Constrained Multi-Objective Optimization for Automated Machine Learning Pareto- optimal multi-objective dimensionality reduction deep auto-encoder for mammography classiﬁcation,

Reference 17

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Observation 75cb3494-7915-49fd-8a16-62c0f5b3deb0 · outbound

This paper cites Beyond mitchell: Multi-objective machine learning – min- imal entropy, energy and error,.

Constrained Multi-Objective Optimization for Automated Machine Learning Beyond mitchell: Multi-objective machine learning – min- imal entropy, energy and error,

Reference 18

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Observation c977d86c-fc01-4500-98a2-6290470b3be7 · outbound

This paper cites Big Models for Big Data using Multi objective averaged one dependence estimators.

Constrained Multi-Objective Optimization for Automated Machine Learning Big Models for Big Data using Multi objective averaged one dependence estimators

Reference 19

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Observation 2de13c60-3d89-4f41-8cfa-b118bd488b88 · outbound

This paper cites Multi-objective evolution of artiﬁcial neural networks in multi-class medical diagnosis problems with class imbalance,.

Constrained Multi-Objective Optimization for Automated Machine Learning Multi-objective evolution of artiﬁcial neural networks in multi-class medical diagnosis problems with class imbalance,

Reference 20

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Observation d1bcf8a3-b146-4b2e-a4c6-c6b7f22264fc · outbound

This paper cites Rapidminer documentation,.

Constrained Multi-Objective Optimization for Automated Machine Learning Rapidminer documentation,

Reference 21

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Observation 4ae4f03b-48ee-40c0-88c9-4fbf567988aa · outbound

This paper cites Nemo : Neuro-evolution with multiobjective optimization of deep neural network for speed and accuracy,.

Constrained Multi-Objective Optimization for Automated Machine Learning Nemo : Neuro-evolution with multiobjective optimization of deep neural network for speed and accuracy,

Reference 22

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Observation 78bdc900-5e2c-45a1-beb4-36298c32f48e · outbound

This paper cites Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution.

Constrained Multi-Objective Optimization for Automated Machine Learning Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution

Reference 23

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This paper cites Ppp-net: Platform-aware progressive search for pareto-optimal neural architec- tures,.

Constrained Multi-Objective Optimization for Automated Machine Learning Ppp-net: Platform-aware progressive search for pareto-optimal neural architec- tures,

Reference 24

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Observation c6e083c8-b9f6-4e0b-8f89-423166551a60 · outbound

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Constrained Multi-Objective Optimization for Automated Machine Learning DVOLVER: Efﬁcient pareto-optimal neural network architecture search,

Reference 25

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Observation 66027ec2-3a3f-44cb-bd2e-7c2f8e4b40a3 · outbound

This paper cites A fast elitist non- dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii,.

Constrained Multi-Objective Optimization for Automated Machine Learning A fast elitist non- dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii,

Reference 26

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Observation 772a0277-694b-458a-a72e-13116f1076a4 · outbound

This paper cites Multiobjective optimization through a series of single-objective formulations,.

Constrained Multi-Objective Optimization for Automated Machine Learning Multiobjective optimization through a series of single-objective formulations,

Reference 27

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Observation df20abc5-f421-42cd-ad1f-94447ab7e39f · outbound

This paper cites A multi-objective DIRECT algorithm towards structural damage identiﬁcation with limited dynamic response information,.

Constrained Multi-Objective Optimization for Automated Machine Learning A multi-objective DIRECT algorithm towards structural damage identiﬁcation with limited dynamic response information,

Reference 28

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Observation 6c4974d2-be4b-442d-a821-c2f503810345 · outbound

This paper cites Multiglods: global and local multiobjective optimization using direct search,.

Constrained Multi-Objective Optimization for Automated Machine Learning Multiglods: global and local multiobjective optimization using direct search,

Reference 29

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Observation 642a4dea-8838-452f-9dba-fbe8d7f90579 · outbound

This paper cites Direct multisearch for multiobjective optimization.

Constrained Multi-Objective Optimization for Automated Machine Learning Direct multisearch for multiobjective optimization

Reference 30

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Observation 6d50594c-1ce9-4612-a746-d9437ae1482d · outbound

This paper cites Reference point based multi-objective optimiza- tion using evolutionary algorithms,.

Constrained Multi-Objective Optimization for Automated Machine Learning Reference point based multi-objective optimiza- tion using evolutionary algorithms,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.549005Z

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Observation 824b33cb-af24-44ce-abcc-aa3ad3c5fe42 · outbound

This paper cites Bayesian guided pattern search for robust local optimization,.

Constrained Multi-Objective Optimization for Automated Machine Learning Bayesian guided pattern search for robust local optimization,

Reference 32

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Observation b1c1f9ba-ba86-4820-a00a-f5fe383fbfa2 · outbound

This paper cites Hopspack 2.0 user manual (v 2.0.2),.

Constrained Multi-Objective Optimization for Automated Machine Learning Hopspack 2.0 user manual (v 2.0.2),

Reference 33

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Constrained Multi-Objective Optimization for Automated Machine Learning Hybrid optimization schemes for simulation-based problems,

Reference 34

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Constrained Multi-Objective Optimization for Automated Machine Learning Asynchronous parallel hybrid optimiza- tion combining direct and gss,

Reference 35

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This paper cites The effectiveness of derivative-free hybrid methods for black-box optimization,.

Constrained Multi-Objective Optimization for Automated Machine Learning The effectiveness of derivative-free hybrid methods for black-box optimization,

Reference 36

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Observation c9a1f6e0-2152-4af1-8523-2bd0f902453f · outbound

This paper cites Derivative-free optimization via evolutionary algorithms guiding local search (eagls) for minlp,.

Constrained Multi-Objective Optimization for Automated Machine Learning Derivative-free optimization via evolutionary algorithms guiding local search (eagls) for minlp,

Reference 37

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Constrained Multi-Objective Optimization for Automated Machine Learning Unresolved cited work

Reference 38

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This paper cites Asynchronous parallel gen- erating set search for linearly constrained optimization,.

Constrained Multi-Objective Optimization for Automated Machine Learning Asynchronous parallel gen- erating set search for linearly constrained optimization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.415686Z

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Observation 0990f821-e797-4933-a09b-bb0878d9bf22 · outbound

This paper cites Using the averaged hausdorff distance as a performance measure in evolutionary multiobjective optimization,.

Constrained Multi-Objective Optimization for Automated Machine Learning Using the averaged hausdorff distance as a performance measure in evolutionary multiobjective optimization,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.399417Z

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Observation f548ce0b-9e14-40d3-b368-2c10b7840c8d · outbound

This paper cites Asynchronous parallel gen- erating set search for linearly constrained optimization,.

Constrained Multi-Objective Optimization for Automated Machine Learning Asynchronous parallel gen- erating set search for linearly constrained optimization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.381980Z

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Observation fb44fbf3-0d7d-41d2-8487-52a804e7c677 · outbound

This paper cites Nonlinearly constrained optimization using heuristic penalty methods and asynchronous parallel generating set search,.

Constrained Multi-Objective Optimization for Automated Machine Learning Nonlinearly constrained optimization using heuristic penalty methods and asynchronous parallel generating set search,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:32:23.364430Z

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Pith citing papers

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