Pith. sign in

Paper Citation Record · LEDGER

Surrogate-assisted multi-objective design of complex multibody systems

As of 14 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 2026-08-14T06:32:32.682623+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

  • verified exact0
  • verified fuzzy42
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:08.288278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.288278Z digest=sha256:20cdb62fcabd00591c3a6c1e111602a145fd07a5f4fd39e5b4b5105578153e1b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.953093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.292410Z digest=sha256:71f09627198924324d5abb77a59951f23a2695550f00ca3158fb19c198a8e3cd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.944844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.295438Z digest=sha256:8abedd251f9e220f2ff177b84fee10311c5793c5018ce6605e66cee77055cbb1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.936543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.299257Z digest=sha256:27b997764627b6e4d13e98534c49758110b2d40d8dbfb3175f8a155ae4d8097b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.926704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.303476Z digest=sha256:b19daee07138f917184be9ca6362a937697b851f030297672ec2ec0971c39088

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

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:54:08.916714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.307272Z digest=sha256:1739898285bc56c65bf3fafbf4cbc19d2b8e8a74dd84e3ee820f0405318893e2

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
raw_fallback, observed 2026-08-11T11:54:08.904903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.311446Z digest=sha256:fb259a9b604aa389584a12e68f47b492f010218f00c10c0f74dfd4fdbc5d7b2e

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
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.895897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.314415Z digest=sha256:38ec9dc9276e61f562ce1f1ade384500abe5d8d3ab672a4490a42fbee9b4985a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.887026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.318543Z digest=sha256:0aa4c2f9e767ac89708e0896eeb7bfc9ad2a505092965329507016df4ee64588

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.876071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.323133Z digest=sha256:0c74a7bf480d380bf762df94f32c15cac308b32dc02837cf419beaea015cfa52

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.865001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.327110Z digest=sha256:cc28dc01a8c3e27a82b96ee06640b2b1917f81ef82cfa4005ffba1d4074cff6f

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
unresolved
no resolver link, observed 2026-08-11T11:54:08.331314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.331314Z digest=sha256:8b57a37ee0280842a703066219d2d2aa5578eb391a819db991eb08ae06785767

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
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.851201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.335025Z digest=sha256:256561f2da4731c70cdccdf3cb2ebfb9ff0ac067b85a94e19d6da52a198c819e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.842500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.337978Z digest=sha256:38ca61c53c0b78eb728adf8ba54f93bec463f51832c29c54ebe4571449a8f692

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
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.834574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.341396Z digest=sha256:7dbc12804a9bce9a9311838f82fe617f788085e3aa9ade79f64a988bd95be7f8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.826349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.344057Z digest=sha256:87e4aa0dc34e4e294f075ba2d456a22bfc85fa652ce6b910e7980010d9ce26af

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.815443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.347243Z digest=sha256:c26dba04b0a876d70f40d30abf8c510f4a1cad4d0aaf3ede1ab32c4cfc462b23

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:08.351156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.351156Z digest=sha256:cd4a6ffe16573e4c29243d6bd68ecf91d28e7a280e48c3db6d20e401d264f4e3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.806298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.354240Z digest=sha256:f8a0103a16c24e6f1aac8ebd31d47cf462e92143529947ae4d9dc4422b44890f

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
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.796935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.357629Z digest=sha256:242c85a65c856553d88b6df0d01666ca5e156e4f4160ec01e7054af92b3d6d1c

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
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.787018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.361493Z digest=sha256:52171c67cd0378ee3602c4d1e1b35f110147c12e72292701bed7907d4baf68ce

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.777460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.364233Z digest=sha256:6514ada3d5831c780c2bfd9d6711af1f6b70e10027a6bd2f38a25f51b0997ecc

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:08.367514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.367514Z digest=sha256:b83c5a06c939f9eee22d92a8ad06c9b339a8732409d1c40a731b1c9e903ba5f3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.767985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.370365Z digest=sha256:89923fb28034c9d39b96dd2b790079779bacca26db1f596975aa83ca76ea25d1

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:08.372822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.372822Z digest=sha256:05f8c413cff6b7a4ade0f1659493d44af14151da6305690d38af37fa2d45d530

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
verified fuzzy
raw_fallback, observed 2026-08-11T11:54:08.759678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.376285Z digest=sha256:c75d191f52f40041243fe3fcddb853af5e6cd9f1961af68376a27a9a5ee23db9

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
raw_fallback, observed 2026-08-11T11:54:08.749969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.379668Z digest=sha256:e38b9ca7947ddeb7a8482d453e26998a375cdf5d22586eaff949eb2bef31b727

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
raw_fallback, observed 2026-08-11T11:54:08.740445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.383040Z digest=sha256:7ba6d10e7f89b1fc9cb52e0f277510e54145692b2210c43ec2f57555ec9c2fd4

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
raw_fallback, observed 2026-08-11T11:54:08.730307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.385729Z digest=sha256:4a8da5c1e457e0d8c0da32b1ff981d6de36f52aa9b07ce5280c3226947e1a1fe

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.388463Z digest=sha256:7d559f895efae1bbccb16c7b85811c87647e0b920b8cab69161633084a5a4b09

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.392042Z digest=sha256:866a5072dc49f36088c1fd3a138ba459fff1e640e09d435366f68d3122506c52

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

Resolution
unresolved
no resolver link, observed 2026-08-11T11:54:08.395008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:54:08.395008Z digest=sha256:d45e237e0416557f71f529c98166ae229bfefb12119a9329ce8a2e5dc8c11e47

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
raw_fallback, observed 2026-08-11T11:54:08.699267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.398627Z digest=sha256:4046e95147b367e0af27f22c6a7b3de9b8b045ca5a9ddbb17256d27fb12dee54

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
raw_fallback, observed 2026-08-11T11:54:08.690886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.401768Z digest=sha256:80a9ae5dc0082d5f5cc09764f672d083d59a5628ef01bdf34ec856cc440d7f3f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.404506Z digest=sha256:bc456b4059c601fc891543a7ed4f6c0f011ac2053a1a9c9d8b2e68b50bff344d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.409227Z digest=sha256:2000225410511140e0337d74b8a6273eb7fbcf7ddbefc1aefbc7f46afbd96ce7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.412612Z digest=sha256:c3dff49344a31414f438b145a07a3b1586e632df9c1c635630a496bbbbd7bd38

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.415514Z digest=sha256:6766e034dcf8c2a81a9f15fdd125e134f2e705a7d27d864e176aad11d3883cf6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.418705Z digest=sha256:5d4157e083bfa3b003528d80712da7308b8cf1ef0f9c78d550366b4a1f95cc43

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=sha256:3b9c74b2f95268d4bbbaab55383254f81d42dc23a4e4f853f2f4f83adf65932a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.425474Z digest=sha256:12c69715a6c7c0ad6f46fa39002e6e5a121e842461dc737f214d14c7315215ab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.428929Z digest=sha256:566a2f6e8f7aa117e8548dd1a49b3d41480148dfc9beba8ca9957dd2b6bb4837

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.432358Z digest=sha256:3a47f7e927f932789c6c0a58c88bf010c89db463834fcf631bf8922cf4ba2a48

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.436156Z digest=sha256:afc83ff281810cad1272a3eb44e3c2093c03698fc8e198dc9a15649bcde8022c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.440058Z digest=sha256:2c4db57426a5f80cf011284d3654459eaffcd1503d8b95e9d8609a0e5c970c80

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.443049Z digest=sha256:06738d204da9b07e721ca16e2f51aa05bbe4374a1ebf52e21ec6cac2e0804258

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.446634Z digest=sha256:6a0e89e16aaa3079e899537e832a79331ea3d48b654d8935e78b50d0be5c39a4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.450154Z digest=sha256:29078d8fcccd4285574e0af3a56f3eba7e853e1edf4334cb0ad4cb334070fd71

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.454132Z digest=sha256:7d973b20a439641a8cc82b81b1e9664e6fc7d2bf1a5ff4c66714930ff7fe9024

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.456893Z digest=sha256:01ab25f9628313ddc2a896710cc884f2e251f77e9554b54d0fd32924276d62a5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:54:08.460813Z digest=sha256:0ff729787b1f6d4861e08c95e97fcc63b90ec63a1a340d0e265baec11cbdd4f9

Pith citing papers

No inbound Pith citation observations are available.