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Paper Citation Record · LEDGER

MMD-Newton Method for Multi-objective Optimization

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.14610.

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

pith.paper-citation-record.v1
2505.14610 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:59.632255Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:00:08.291716Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:00:08.530370Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved5
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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8712f44-b986-44eb-8809-1707933ec8c1 · outbound

This paper cites an unresolved cited work.

MMD-Newton Method for Multi-objective Optimization Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9672fb47-885d-49e2-b0c6-517d547377d0 · outbound

This paper cites Pymoo: Multi-Objective Optimization in Python.IEEE Access, 8:89497–89509, 2020.

MMD-Newton Method for Multi-objective Optimization Pymoo: Multi-Objective Optimization in Python.IEEE Access, 8:89497–89509, 2020

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7c8b3f85-daf4-409f-8410-99bc0139592f · outbound

This paper cites Monotone Funktionen, Stieltjessche Integrale und harmonische Analyse.

MMD-Newton Method for Multi-objective Optimization Monotone Funktionen, Stieltjessche Integrale und harmonische Analyse

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c847dfbd-cf2b-490a-b005-6592a4543b08 · outbound

This paper cites Borgwardt, Arthur Gretton, Malte J.

MMD-Newton Method for Multi-objective Optimization Borgwardt, Arthur Gretton, Malte J

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7f99eccc-79c6-404f-bad5-0d55b5a7c13b · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

MMD-Newton Method for Multi-objective Optimization JAX: composable transformations of Python+NumPy programs, 2018

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24eecf93-a197-4f51-9273-51ea8914fc91 · outbound

This paper cites A Kernel-Based Indicator for Multi/Many-Objective Optimization.IEEE Trans.

MMD-Newton Method for Multi-objective Optimization A Kernel-Based Indicator for Multi/Many-Objective Optimization.IEEE Trans

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 354c67d6-b97b-48f7-ada6-2c0655558034 · outbound

This paper cites Coello Coello and Margarita Reyes Sierra.

MMD-Newton Method for Multi-objective Optimization Coello Coello and Margarita Reyes Sierra

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4ceda7da-814b-4864-9e9d-02a9b9758d5d · outbound

This paper cites Meyarivan.

MMD-Newton Method for Multi-objective Optimization Meyarivan

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ab267184-0ff9-415c-b26f-058982c8329f · outbound

This paper cites An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints.IEEE Trans.

MMD-Newton Method for Multi-objective Optimization An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints.IEEE Trans

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e7c9c7b-4a44-4da9-937b-7c58652437ab · outbound

This paper cites Scalable Test Prob- lems for Evolutionary Multiobjective Optimization.

MMD-Newton Method for Multi-objective Optimization Scalable Test Prob- lems for Evolutionary Multiobjective Optimization

Reference 10

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Observation 40081058-0d2b-48c7-92d2-f984584fb1fc · outbound

This paper cites Delaunay.

MMD-Newton Method for Multi-objective Optimization Delaunay

Reference 11

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Observation fd3b0202-40fb-4b8c-960e-1b85547f62e0 · outbound

This paper cites Eichfelder.Adaptive Scalarization Methods in Multiobjective Optimization.

MMD-Newton Method for Multi-objective Optimization Eichfelder.Adaptive Scalarization Methods in Multiobjective Optimization

Reference 12

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 19124783-6157-489e-8656-95a50ea146d5 · outbound

This paper cites Deutz, Hao Wang, and Carlos M.

MMD-Newton Method for Multi-objective Optimization Deutz, Hao Wang, and Carlos M

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ae760664-efb0-4a49-b419-d5ab204cd020 · outbound

This paper cites A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.

MMD-Newton Method for Multi-objective Optimization A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

Reference 14

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cb72c7b8-a327-422d-aebd-f0b52d8882e9 · outbound

This paper cites Steepest descent methods for multicriteria optimization.

MMD-Newton Method for Multi-objective Optimization Steepest descent methods for multicriteria optimization

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6e6ee8a5-c277-46e2-a852-8224089ab9f1 · outbound

This paper cites an unresolved cited work.

MMD-Newton Method for Multi-objective Optimization Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:57.118683Z digest=sha256:820dfe59fd64d93fcd19dae1aa4980856a2764f3f9ba4e27fe8bf1b9da55919f

Observation 036f55a2-8612-44ae-8ca2-a95d501c2313 · outbound

This paper cites Borgwardt, Malte J.

MMD-Newton Method for Multi-objective Optimization Borgwardt, Malte J

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 13b78681-b69f-4f6e-8e09-0c28997f7e61 · outbound

This paper cites Griewank.Evaluating derivatives - principles and techniques of algorithmic differentiation, volume 19 ofFrontiers in Applied Mathematics.

MMD-Newton Method for Multi-objective Optimization Griewank.Evaluating derivatives - principles and techniques of algorithmic differentiation, volume 19 ofFrontiers in Applied Mathematics

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 47249ab8-cbe2-444e-b1f5-423d55097067 · outbound

This paper cites Modified Distance Calculation in Generational Distance and Inverted Generational Distance.

MMD-Newton Method for Multi-objective Optimization Modified Distance Calculation in Generational Distance and Inverted Generational Distance

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 64d8e062-fcd6-4d42-905b-09a7eca63ff6 · outbound

This paper cites an unresolved cited work.

MMD-Newton Method for Multi-objective Optimization Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6ae06368-6358-47e9-b472-cbfa455df85b · outbound

This paper cites A survey on evolutionary constrained multiobjective optimization.IEEE Transactions on Evolutionary Computation, 27(2):201–221, 2023.

MMD-Newton Method for Multi-objective Optimization A survey on evolutionary constrained multiobjective optimization.IEEE Transactions on Evolutionary Computation, 27(2):201–221, 2023

Reference 21

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c396def2-3b8e-442f-93f4-afe3e60d772d · outbound

This paper cites Margossian.

MMD-Newton Method for Multi-objective Optimization Margossian

Reference 22

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cdd02baf-6a10-49d7-a70d-6f25f99c5fdf · outbound

This paper cites Martín and O.

MMD-Newton Method for Multi-objective Optimization Martín and O

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T15:38:03.292494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 953eb35d-dee3-44d4-81e6-b9e7c0925c50 · outbound

This paper cites Springer Science & Business Media, 2012.

MMD-Newton Method for Multi-objective Optimization Springer Science & Business Media, 2012

Reference 24

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raw_fallback, observed 2026-08-07T15:38:03.056460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 627454d0-cb10-4c89-8f47-f8739a4749a4 · outbound

This paper cites Sriperumbudur, and Bernhard Schölkopf.

MMD-Newton Method for Multi-objective Optimization Sriperumbudur, and Bernhard Schölkopf

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 772a7bff-2d57-4da9-a0c9-12205983d40c · outbound

This paper cites Wright.Numerical Optimization.

MMD-Newton Method for Multi-objective Optimization Wright.Numerical Optimization

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T15:38:02.544724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b013d0f3-2f6b-4fc2-bfca-3933e6d680f5 · outbound

This paper cites Rodriguez-Fernandez, Hao Wang, and Oliver Schütze.

MMD-Newton Method for Multi-objective Optimization Rodriguez-Fernandez, Hao Wang, and Oliver Schütze

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:02.340673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fd3231b7-aaa7-4053-9bf4-570bfd7a8e06 · outbound

This paper cites The Pareto tracer for the treatment of degenerated multi- objective optimization problems.Engineering Optimization, pages 1–26, 2024.

MMD-Newton Method for Multi-objective Optimization The Pareto tracer for the treatment of degenerated multi- objective optimization problems.Engineering Optimization, pages 1–26, 2024

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T15:38:02.118211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 70d07ff5-0140-480c-babf-3043c299637e · outbound

This paper cites Coello Coello.

MMD-Newton Method for Multi-objective Optimization Coello Coello

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:01.903127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ea7d6383-8f76-4ac7-935f-59cd72aceabd · outbound

This paper cites Sinha and J.

MMD-Newton Method for Multi-objective Optimization Sinha and J

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:01.679571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:58.564176Z digest=sha256:9b80162164d4b900fcc9498a475ea890cf7f937ce3f4daa2876b9a8895369680

Observation 56b0cd45-c247-475f-b80b-5a597570cd3b · outbound

This paper cites Deutz, and Michael Emmerich.

MMD-Newton Method for Multi-objective Optimization Deutz, and Michael Emmerich

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:01.555750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:58.646406Z digest=sha256:9787dbf4dc3763a850008e7a5f9f485a3204dcf0289c9b587feb51ff3d5ddd68

Observation a3c1c5b0-e6a5-4e9a-a6c6-b331273a8a5f · outbound

This paper cites Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, and Gert R.

MMD-Newton Method for Multi-objective Optimization Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, and Gert R

Reference 32

Resolution
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raw_fallback, observed 2026-08-07T15:38:01.354147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:58.753523Z digest=sha256:cd8393fb2e5bb79b1c3a27ed47193d886e3cff8daff02d208bd5a68ad94677e6

Observation 90648a0a-a7dc-4964-bb6d-6a98510d1b61 · outbound

This paper cites World Scientific, 2008.

MMD-Newton Method for Multi-objective Optimization World Scientific, 2008

Reference 33

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unresolved
no resolver link, observed 2026-08-07T15:37:58.881807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:37:58.881807Z digest=sha256:d5b2ac55079d03972a856817b37a9bd853e832d95e83c8046831f14cb778a152

Observation 3a3806ab-0b0b-4c28-a68d-9538ed310288 · outbound

This paper cites Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning.J.

MMD-Newton Method for Multi-objective Optimization Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning.J

Reference 34

Resolution
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raw_fallback, observed 2026-08-07T15:38:01.164188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f763f583-c768-4ade-9526-3b48ab4134e5 · outbound

This paper cites A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms.

MMD-Newton Method for Multi-objective Optimization A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:37:59.927059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.060228Z digest=sha256:aa7b55bc67a13e7913d0d6ca668d3916432bacd21e898acdd440c550267396db

Observation 2b7de734-4315-43e2-b29b-cc5017d894b6 · outbound

This paper cites Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

MMD-Newton Method for Multi-objective Optimization Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:00.982513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.144434Z digest=sha256:b553a743cd63a7a852686d22910f3325c626c06379241dabde17e85da28fc867

Observation 08d1b3d8-7733-4232-943f-f239316fc65b · outbound

This paper cites Deutz, and Thomas Bäck.

MMD-Newton Method for Multi-objective Optimization Deutz, and Thomas Bäck

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:00.815314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.252003Z digest=sha256:7bd2847e3d06ad878a46fed5e85d412c83b056fd0ad6cb70977de0df310d6009

Observation b7070afc-050c-4665-bf5c-f7067718af8d · outbound

This paper cites MOEA/D: A multiobjective evolutionary algorithm based on decomposition.IEEE Trans.

MMD-Newton Method for Multi-objective Optimization MOEA/D: A multiobjective evolutionary algorithm based on decomposition.IEEE Trans

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:00.606205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.348852Z digest=sha256:ade11d1ba4c86a66eaa20b903ad680e8801bed076ea8a5878e761b0624345bee

Observation 56e6320e-9dd9-412e-b4ec-bae2608f2a1b · outbound

This paper cites Comparison of multiobjective evolutionary algorithms: Empirical results.Evolutionary computation, 8(2):173–195, 2000.

MMD-Newton Method for Multi-objective Optimization Comparison of multiobjective evolutionary algorithms: Empirical results.Evolutionary computation, 8(2):173–195, 2000

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:00.467449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.452484Z digest=sha256:50f766fbee9fcf27dde1bf89560040e9f62e6e8a214e1de8b55846607c47a33a

Observation 1ce3758d-c7cc-40da-80be-d45c03c01c2e · outbound

This paper cites We use Gershgorin’s circle theorem for block matrices [33].

MMD-Newton Method for Multi-objective Optimization We use Gershgorin’s circle theorem for block matrices [33]

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:38:00.261199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.542067Z digest=sha256:cc28dcabd74cb1e33ad738e218080419e0ba48762bcd2c22b4e211ce43001b51

Observation 3d692b65-92d3-43fd-8473-f64426c443b9 · outbound

This paper cites After filling, we perform b),reduction, to return to exactly µ elements.

MMD-Newton Method for Multi-objective Optimization After filling, we perform b),reduction, to return to exactly µ elements

Reference 41

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T15:38:00.107108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:37:59.632255Z digest=sha256:e3b8134343f91e409f8a0014488665f68d1ec6bcbbe7b9bc1677f631ce112484

Pith citing papers

Observation d3c4dcfc-d3a1-4813-b10d-80ba4e378fde · inbound

Quantum Algorithm for Protein Side-Chain Optimisation: Comparing Quantum to Classical Methods cites this paper.

Quantum Algorithm for Protein Side-Chain Optimisation: Comparing Quantum to Classical Methods MMD-Newton Method for Multi-objective Optimization

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:00:08.546912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:00:08.291716Z digest=sha256:5aef501984211b2edc5a887a41e14de0125e879500560f2dd2347443bedb93ce