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Paper Citation Record · LEDGER

Surrogate-assisted multi-objective design of complex multibody systems

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.14854.

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

pith.paper-citation-record.v1
2412.14854 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:54:08.460813Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

51 of 51 outbound references displayed

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  • verified fuzzy42
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf4f3d5f-4113-4d8c-a3b0-2e9b542c3c66 · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems,.

Surrogate-assisted multi-objective design of complex multibody systems A survey of projection-based model reduction methods for parametric dynamical systems,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation a39003b1-bf2b-4c30-a07a-27620d3bc321 · outbound

This paper cites Derivative-free multiobjective trust region descent method using radial basis function surrogate models,.

Surrogate-assisted multi-objective design of complex multibody systems Derivative-free multiobjective trust region descent method using radial basis function surrogate models,

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 24b6d311-d721-41b6-9db3-76e618a06317 · outbound

This paper cites On gradients and hybrid evolutionary algorithms for real-valued multiobjective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems On gradients and hybrid evolutionary algorithms for real-valued multiobjective optimization,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 19af46bc-2682-4879-a94e-3ffa830da086 · outbound

This paper cites Enhancing multi-objective optimisation through ma- chine learning-supported multiphysics simulation,.

Surrogate-assisted multi-objective design of complex multibody systems Enhancing multi-objective optimisation through ma- chine learning-supported multiphysics simulation,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e5e176fe-e5ff-4567-a464-be1b4330c35e · outbound

This paper cites Handling com- putationally expensive multiobjective optimization problems with evolu- tionary algorithms-a survey,.

Surrogate-assisted multi-objective design of complex multibody systems Handling com- putationally expensive multiobjective optimization problems with evolu- tionary algorithms-a survey,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7bf881b0-0926-43dc-b537-4ecf96045bea · outbound

This paper cites an unresolved cited work.

Surrogate-assisted multi-objective design of complex multibody systems Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dabfbb90-89f8-4b16-ba5f-43930daff143 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II,.

Surrogate-assisted multi-objective design of complex multibody systems A fast and elitist multiobjective genetic algorithm: NSGA-II,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5a1733cf-74b0-406e-84a6-793a9cb7669b · outbound

This paper cites Surrogate modeling approaches for multiobjective optimization: Methods, taxonomy, and results,.

Surrogate-assisted multi-objective design of complex multibody systems Surrogate modeling approaches for multiobjective optimization: Methods, taxonomy, and results,

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e5755d55-e0d6-42ad-b9e7-2a964fce3a82 · outbound

This paper cites Multiple-gradient descent algorithm (MGDA) for mul- tiobjective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems Multiple-gradient descent algorithm (MGDA) for mul- tiobjective optimization,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 34b17047-5701-4ba7-9e98-07e78a0f2f34 · outbound

This paper cites Ehrgott, Multicriteria optimization, 2nd ed.

Surrogate-assisted multi-objective design of complex multibody systems Ehrgott, Multicriteria optimization, 2nd ed

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3d876960-0d8d-4404-af0c-21c9dfbba28d · outbound

This paper cites Newton’s method for multiobjective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems Newton’s method for multiobjective optimization,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d169b7a2-ec7b-4d16-9b35-76ef66ad5cc9 · outbound

This paper cites Steepest descent methods for multicriteria optimization,.

Surrogate-assisted multi-objective design of complex multibody systems Steepest descent methods for multicriteria optimization,

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 841078be-0f0d-4b7f-970f-2392a480f87d · outbound

This paper cites A method for constrained multiobjective optimization based on sqp techniques,.

Surrogate-assisted multi-objective design of complex multibody systems A method for constrained multiobjective optimization based on sqp techniques,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 633dae0d-a941-4c4c-8e8a-32855d4c2292 · outbound

This paper cites An overview of evolutionary algorithms in multiobjective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems An overview of evolutionary algorithms in multiobjective optimization,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d871dc0d-4042-40c9-aac7-d9faa8b10625 · outbound

This paper cites An Efficient Descent Method for Locally Lip- schitz Multiobjective Optimization Problems,.

Surrogate-assisted multi-objective design of complex multibody systems An Efficient Descent Method for Locally Lip- schitz Multiobjective Optimization Problems,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fe25f3b0-6d75-4dc9-aaf9-a5a3e57230ab · outbound

This paper cites A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems,.

Surrogate-assisted multi-objective design of complex multibody systems A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c7f6497e-ccbc-4350-8d60-f62e4a2cf82e · outbound

This paper cites On the hierarchical structure of Pareto critical sets,.

Surrogate-assisted multi-objective design of complex multibody systems On the hierarchical structure of Pareto critical sets,

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 53431199-c436-4c2d-9125-d2f5669dc40d · outbound

This paper cites World Models.

Surrogate-assisted multi-objective design of complex multibody systems World Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6de6153e-6443-4b33-b842-d40e04a0f8af · outbound

This paper cites Heißing and M.

Surrogate-assisted multi-objective design of complex multibody systems Heißing and M

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c0dc546-ed53-4291-af9d-47f738a04ed9 · outbound

This paper cites Hillermeier, Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach.

Surrogate-assisted multi-objective design of complex multibody systems Hillermeier, Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach

Reference 20

Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 67b692ca-c5de-4823-84d5-9c6792838fce · outbound

This paper cites A generative Kriging surrogate model for constrained and unconstrained multi-objective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems A generative Kriging surrogate model for constrained and unconstrained multi-objective optimization,

Reference 21

Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f65d7218-28c3-4643-814b-01d1fda9017a · outbound

This paper cites Multi-objective GFlowNets,.

Surrogate-assisted multi-objective design of complex multibody systems Multi-objective GFlowNets,

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6874b78e-8662-40a9-ac21-e492f2129214 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Surrogate-assisted multi-objective design of complex multibody systems Adam: A Method for Stochastic Optimization

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 14815c5b-6791-4aa4-ab6f-9571e2ffc803 · outbound

This paper cites From Neweul to Neweul-M2: Symbolical equations of motion for multibody system analysis and synthesis,.

Surrogate-assisted multi-objective design of complex multibody systems From Neweul to Neweul-M2: Symbolical equations of motion for multibody system analysis and synthesis,

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7a4c6c75-2507-48ad-ba62-6ca81cfc2be3 · outbound

This paper cites Large Language Model for Multi-objective Evolutionary Optimization.

Surrogate-assisted multi-objective design of complex multibody systems Large Language Model for Multi-objective Evolutionary Optimization

Reference 25

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Unavailable: canonical work link unavailable.

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Observation fe44f772-277c-48fc-aa3e-ba34376b83cb · outbound

This paper cites Interactive bundle-based method for non- differentiable multiobjeective optimization: NIMBUS,.

Surrogate-assisted multi-objective design of complex multibody systems Interactive bundle-based method for non- differentiable multiobjeective optimization: NIMBUS,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c9a317a7-391c-407c-8aa1-a3e44edb83b0 · outbound

This paper cites Miettinen, Nonlinear Multiobjective Optimization.

Surrogate-assisted multi-objective design of complex multibody systems Miettinen, Nonlinear Multiobjective Optimization

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bc5ba5e7-ac19-425a-ab69-cd6edbaf7ead · outbound

This paper cites Kraftfahrzeug, unebenheits- einpunktanregung,.

Surrogate-assisted multi-objective design of complex multibody systems Kraftfahrzeug, unebenheits- einpunktanregung,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ba77e35-64da-4bc3-8f89-55d1e65a6274 · outbound

This paper cites Multi- objective ADAM optimizer (MAdam),.

Surrogate-assisted multi-objective design of complex multibody systems Multi- objective ADAM optimizer (MAdam),

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 03c7bafd-d59b-43f2-aae6-2b1889e31813 · outbound

This paper cites A Survey of Recent Trends in Multiobjective Optimal Control – Surrogate Models, Feedback Control and Objective Reduction,.

Surrogate-assisted multi-objective design of complex multibody systems A Survey of Recent Trends in Multiobjective Optimal Control – Surrogate Models, Feedback Control and Objective Reduction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.718517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bf8ce864-b506-4123-abb9-a816da2f3a83 · outbound

This paper cites Gradient-based multiobjective optimization with uncertainties,.

Surrogate-assisted multi-objective design of complex multibody systems Gradient-based multiobjective optimization with uncertainties,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.708700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e2db7094-4d1d-4da8-91e1-938b21389d70 · outbound

This paper cites Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art.

Surrogate-assisted multi-objective design of complex multibody systems Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art

Reference 32

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Unavailable: canonical work link unavailable.

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Observation 345076ef-b2a5-47d1-8a55-f4568bf05eac · outbound

This paper cites Quasi-newton’s method for multiobjective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems Quasi-newton’s method for multiobjective optimization,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 815fbee8-9d39-4ce4-b4b3-66769e34bf91 · outbound

This paper cites A comprehensive review of machine learning in multi-objective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems A comprehensive review of machine learning in multi-objective optimization,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 739e88a1-bb62-47d5-a466-59b50f15649f · outbound

This paper cites Stochastic method for the solution of unconstrained vector optimization problems,.

Surrogate-assisted multi-objective design of complex multibody systems Stochastic method for the solution of unconstrained vector optimization problems,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.680881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.404506Z digest=sha256:787c0eb236511bfe77a439579a0a45bbc722b8434cf94a86c558137bb4341f9f

Observation f4099195-991b-4eff-9e31-6475f81d2829 · outbound

This paper cites Multibody system dynamics: Roots and perspectives,.

Surrogate-assisted multi-objective design of complex multibody systems Multibody system dynamics: Roots and perspectives,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.670904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.409227Z digest=sha256:d8bafcfb1b200368f708cda672ca4e188f264c72fbaaf89379f69b8985a89b44

Observation 7af0c7c1-bd06-4de0-a243-241e72abbf26 · outbound

This paper cites Research trends in multibody system dynamics,.

Surrogate-assisted multi-objective design of complex multibody systems Research trends in multibody system dynamics,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.661227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.412612Z digest=sha256:16e7220a9c2c74cb8c251d520c189162afa2ca143fe81b6c0a85a2a4430aa0de

Observation de1e29a5-c547-4523-bece-cd4d2a6cd323 · outbound

This paper cites Tire wear reduction based on an extended multibody rear axle model,.

Surrogate-assisted multi-objective design of complex multibody systems Tire wear reduction based on an extended multibody rear axle model,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.651466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.415514Z digest=sha256:ae26cf2bdd8a9cbc9fe671e12efc34d2cee094200a9c5e1c66f960a6767818d1

Observation 43a4ee82-c578-467c-aeef-26373f572aae · outbound

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

Surrogate-assisted multi-objective design of complex multibody systems Using the averaged hausdorff distance as a performance measure in evolutionary multiobjective optimization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.640502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.418705Z digest=sha256:98ec3ac17281da6bd4af148f9e82b8ce720a540f3cbe47f237d6d41b23f4d578

Observation 7c49dbe7-85fd-4f39-88da-567afc76eab4 · outbound

This paper cites Multi-task learning as multi-objective opti- mization,.

Surrogate-assisted multi-objective design of complex multibody systems Multi-task learning as multi-objective opti- mization,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:08.422217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.422217Z digest=sha256:ce9b7719b3e476ddcaa01ea89cf3063f586ff74fb6ed4fa82a8476ffb47460c1

Observation ea538b6a-fc64-4b1f-8b33-e8701c8ffb13 · outbound

This paper cites Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-like Systems,.

Surrogate-assisted multi-objective design of complex multibody systems Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-like Systems,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.623442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.425474Z digest=sha256:90c234817bda5c68ac73b2c1145da89009405ab1a6a2b30578765fb92063d88f

Observation 32266565-9ce2-45aa-9143-6fcec28639f8 · outbound

This paper cites A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods,.

Surrogate-assisted multi-objective design of complex multibody systems A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.612880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.428929Z digest=sha256:876340c2b742be7a0c12623fa1b3c59ffc3dd21fba06673928c136d84ac307f3

Observation c1f659e6-bd86-49d2-a487-145bc5110320 · outbound

This paper cites Proximal gradient methods for multiobjective optimization and their applications,.

Surrogate-assisted multi-objective design of complex multibody systems Proximal gradient methods for multiobjective optimization and their applications,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.600896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.432358Z digest=sha256:dabb1fca48e55d137b09ada9455a69a19e698addde1717d9378dc65f3b137f79

Observation c63c23c4-7107-4757-b52f-f13c11f4635d · outbound

This paper cites An accelerated proximal gradient method for multiobjective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems An accelerated proximal gradient method for multiobjective optimization,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.589032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.436156Z digest=sha256:e5c32154e9b4584ba6391be67a33b03e08085a7829a80cdadf8a50ad9277731c

Observation 69e69ba5-a37a-48f5-936c-831002da7d26 · outbound

This paper cites A preference- based evolutionary algorithm for multi-objective optimization,.

Surrogate-assisted multi-objective design of complex multibody systems A preference- based evolutionary algorithm for multi-objective optimization,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.580207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.440058Z digest=sha256:96b7761ec135df7c73733df22dde761f99f240b8d8c43ee55defdd3221d7b19a

Observation 58fd5bdb-cd60-446d-857f-d757770b8f0a · outbound

This paper cites an unresolved cited work.

Surrogate-assisted multi-objective design of complex multibody systems Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:54:08.568586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.443049Z digest=sha256:67766c330ca4f39d07e8bb5a88bc0a0dec5d3c10f67e375aadcb4e2711d452fa

Observation 80e3ac43-52c3-473a-8991-74dfde39b9ca · outbound

This paper cites Evolutionary large-scale multi-objective optimization: A survey,.

Surrogate-assisted multi-objective design of complex multibody systems Evolutionary large-scale multi-objective optimization: A survey,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.557190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.446634Z digest=sha256:d01f845128668bb1723fec172558ea35235f5157c7e1bf2a33b3ef7d36276ba3

Observation 364c4e3a-73b1-46cb-af90-2c73f003d66d · outbound

This paper cites Woernle, Multibody Systems: An Introduction to the Kinematics and Dynamics of Systems of Rigid Bodies.

Surrogate-assisted multi-objective design of complex multibody systems Woernle, Multibody Systems: An Introduction to the Kinematics and Dynamics of Systems of Rigid Bodies

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.546979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.450154Z digest=sha256:7f7368d33c451e066ef2aa81a0166ec57a17c6e4f908a83cc7bba385db865566

Observation dc313f7c-34c6-4315-9e0f-890d607d7f64 · outbound

This paper cites Day- dreamer: World models for physical robot learning,.

Surrogate-assisted multi-objective design of complex multibody systems Day- dreamer: World models for physical robot learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.537017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.454132Z digest=sha256:9ee36f676e7ae390f50d8e09594b913be5ca15bd907c839bbbc00adf33e55e9f

Observation d51537ce-6c69-4991-be40-8d1a1f32a34f · outbound

This paper cites A convolutional neural network-based surrogate model for multi-objective optimization evolu- tionary algorithm based on decomposition,.

Surrogate-assisted multi-objective design of complex multibody systems A convolutional neural network-based surrogate model for multi-objective optimization evolu- tionary algorithm based on decomposition,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.527552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.456893Z digest=sha256:e4349da815bafd8d355566793384beb7f1e8a34dceadb623dd3a81e071fa6b0c

Observation 3eb37670-84f4-48e3-96e7-981af3bdf919 · outbound

This paper cites Multiobjective evolutionary algorithms: A survey of the state of the art,.

Surrogate-assisted multi-objective design of complex multibody systems Multiobjective evolutionary algorithms: A survey of the state of the art,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.517248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T11:54:08.460813Z digest=sha256:8c01964769b6bd862bd58300d3a3ff665dbd0c61a00127bcb683972c68402588

Pith citing papers

No inbound Pith citation observations are available.