Pith. sign in

Paper Citation Record · LEDGER

Generative Multi-Form Bayesian Optimization

As of 11 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2501.13337.

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

pith.paper-citation-record.v1
2501.13337 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:19:55.736875Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

60 of 60 outbound references displayed

  • verified exact3
  • verified fuzzy44
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5f2bfc1-7d70-436a-b1b4-721bf92a32a3 · outbound

This paper cites Efficient aerodynamic shape optimization with deep- learning-based geometric filtering,.

Generative Multi-Form Bayesian Optimization Efficient aerodynamic shape optimization with deep- learning-based geometric filtering,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.826508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.401469Z digest=sha256:89c095b6dc7984a21e043c11dc5ad8e2d229b655741b5bd1ea32a3930f0188d8

Observation ba3a5ac8-d720-4374-a1d3-ecc805211de6 · outbound

This paper cites Hull-form stochastic optimization via computational-cost reduction methods,.

Generative Multi-Form Bayesian Optimization Hull-form stochastic optimization via computational-cost reduction methods,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.809897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.407010Z digest=sha256:a0771e2b3961fd4f2ea1edcd69ba52b0aae6a2a558a355727a16aaaa24dc4826

Observation 9ad815e8-4009-42e6-8804-d00f973ae559 · outbound

This paper cites Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining.

Generative Multi-Form Bayesian Optimization Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:19:55.919728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.411894Z digest=sha256:d4c242b617d8e229953b571536b6488372b4aaf9cc4c63f9e0f191c48024b8f5

Observation aa227b60-0c79-485b-9b7d-65a5369e7c6a · outbound

This paper cites Airfoil Design Parameterization and Optimization using B\'ezier Generative Adversarial Networks.

Generative Multi-Form Bayesian Optimization Airfoil Design Parameterization and Optimization using B\'ezier Generative Adversarial Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.418353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.418353Z digest=sha256:4424f1beb5998ba7bf39ee5fd0a686e040ec12209f54bc1b914aec25b16bb6dd

Observation 441d5e9f-3133-41c9-8bdb-f193124757ab · outbound

This paper cites A b-spline-based generative adversarial network model for fast interactive airfoil aerodynamic optimization,.

Generative Multi-Form Bayesian Optimization A b-spline-based generative adversarial network model for fast interactive airfoil aerodynamic optimization,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.792892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.424008Z digest=sha256:e88bceb83edb91bb497656b42e4fda6aef8e0f5fb248c1aac577ce80f355389f

Observation ba4f6d6b-edcf-4684-b6fa-1759598e4c7f · outbound

This paper cites Grammar variational autoencoder,.

Generative Multi-Form Bayesian Optimization Grammar variational autoencoder,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.776867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.429554Z digest=sha256:668afcdfb91292ccd5adbf2d6c917a08f3c694a079b9fb5444bd8adb3955095b

Observation ae71035f-51db-4080-846c-5d79473805d5 · outbound

This paper cites Constrained Bayesian Optimization for Automatic Chemical Design.

Generative Multi-Form Bayesian Optimization Constrained Bayesian Optimization for Automatic Chemical Design

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:19:55.877763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.436049Z digest=sha256:6b6a21e13ab5add01da5437a1551a11ad9dc18d2f01a4d7f0b3873b235863a55

Observation a1befbe8-537a-47f3-b62c-4d0defa2f3a2 · outbound

This paper cites Aerodynamic design optimization and shape exploration using generative adversarial networks,.

Generative Multi-Form Bayesian Optimization Aerodynamic design optimization and shape exploration using generative adversarial networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.759946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.441667Z digest=sha256:f3a5c0cf81a915e4da12db71fc7b42fafaf9a374bfca448695ce9993ad34430f

Observation b307b4db-17fd-4d01-be2e-2ff51f21a5d7 · outbound

This paper cites Structured variationally auto-encoded optimiza- tion,.

Generative Multi-Form Bayesian Optimization Structured variationally auto-encoded optimiza- tion,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.740895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.447073Z digest=sha256:1345e5136e97c9c3f8a44518c3f09cda9b49428f1781b081f588fe8de3d6b63b

Observation 2c5dc202-0b6b-42f9-88b5-b09ac8a75195 · outbound

This paper cites Synthesizing the preferred inputs for neurons in neural networks via deep generator networks,.

Generative Multi-Form Bayesian Optimization Synthesizing the preferred inputs for neurons in neural networks via deep generator networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.724375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.452338Z digest=sha256:f5110e92dd7bdaa9f8c4b0e811f6a926a4efffe4d84d18adfec45c14b541c41f

Observation 5df1b7cb-6d27-44ee-9239-f48676a40551 · outbound

This paper cites Neural Architecture Optimization.

Generative Multi-Form Bayesian Optimization Neural Architecture Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.457719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.457719Z digest=sha256:38bdb1aafaf7926fa381f5cd10ddb751d918b8b16e76384b8274b76833bf7dd8

Observation 701916f8-6de4-4cb4-97f1-c49a59d29dee · outbound

This paper cites Microstructural materials design via deep adversarial learning methodology,.

Generative Multi-Form Bayesian Optimization Microstructural materials design via deep adversarial learning methodology,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.706747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.463383Z digest=sha256:cf7291f131549126df0ba08b9b67b48e7ccfe695a848c120d7de72f382f0de37

Observation 1a38e439-59d6-4299-b8dc-d6afe92b5c26 · outbound

This paper cites Automatic chemical design using a data-driven continuous representation of molecules,.

Generative Multi-Form Bayesian Optimization Automatic chemical design using a data-driven continuous representation of molecules,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.689538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.468253Z digest=sha256:eb529a2aaf1bb7d0355bd8796dc6d3733113cca3657d0aade56dabe37ed6e151

Observation 44673ee4-4a8f-4fe1-932a-e5eeac537d73 · outbound

This paper cites Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions,.

Generative Multi-Form Bayesian Optimization Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.672705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.473359Z digest=sha256:0d00dd679bff8a7e9d2bd36051b1fc8af5d7f2ef22a39fc7b1af82996f8342bc

Observation 02442821-5fe0-4d45-b8da-9404f21503fa · outbound

This paper cites Insights on transfer optimization: Because experience is the best teacher,.

Generative Multi-Form Bayesian Optimization Insights on transfer optimization: Because experience is the best teacher,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.478326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.478326Z digest=sha256:6181233cd3ecd79a084415c22f9cf5b30c04f581b401f02c7b3d36f424c5d35c

Observation 00ab1978-dcaa-4a42-a903-05d7d6fc716c · outbound

This paper cites Curbing negative influences online for seamless transfer evolu- tionary optimization,.

Generative Multi-Form Bayesian Optimization Curbing negative influences online for seamless transfer evolu- tionary optimization,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.483305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.483305Z digest=sha256:ed45601fdbc24b8ec352b325006b6989975f67207dea6551becc0b8194e1ccf8

Observation e8d37f56-8b68-4c89-81ef-db77f42b1858 · outbound

This paper cites Toward adaptive knowledge transfer in multifactorial evolutionary computation,.

Generative Multi-Form Bayesian Optimization Toward adaptive knowledge transfer in multifactorial evolutionary computation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.631202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.488102Z digest=sha256:ea2a4ca1a0feed66433e08b769cccf8e63533690728e2773243510104d89f94f

Observation 6c00ba0a-0436-4ca1-9f5a-6473d363eb83 · outbound

This paper cites Evolutionary multitasking for multiobjective optimization with subspace alignment and adaptive differential evolution,.

Generative Multi-Form Bayesian Optimization Evolutionary multitasking for multiobjective optimization with subspace alignment and adaptive differential evolution,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.614764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.492820Z digest=sha256:d349ff9383676ca1812ebd4a148513a5af16b4bf6f159b7fe0c81b94f8cc2e2e

Observation fee60050-dcb7-4d1a-8454-2eda145caf6a · outbound

This paper cites A meta-knowledge transfer-based differential evolution for multitask optimization,.

Generative Multi-Form Bayesian Optimization A meta-knowledge transfer-based differential evolution for multitask optimization,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.598299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.498190Z digest=sha256:c8d4223b176274b5b1640e967f5a7eb7f852a302e886450805c9cf8c82eb96f3

Observation e9a60a4e-9f9c-44b8-b6d3-7c6e6b107b1c · outbound

This paper cites Evolutionary multitasking across single and multi- objective formulations for improved problem solving,.

Generative Multi-Form Bayesian Optimization Evolutionary multitasking across single and multi- objective formulations for improved problem solving,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.581427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.506047Z digest=sha256:0dcf234ba8247cfd4121bf013c0e784a722cdf49cd5fa7a60eb54ebfd9d53af2

Observation bf28e8a7-49bb-4450-9824-33cf0645b283 · outbound

This paper cites A study on multiform multi-objective evolutionary optimization,.

Generative Multi-Form Bayesian Optimization A study on multiform multi-objective evolutionary optimization,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.563061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.511049Z digest=sha256:04f5a4ae747126534f62cf4a7ff7be219c62bae022b10fd37fcce6ab88a9e0b5

Observation 37d04fd9-746e-44c2-a4e0-744f066526e2 · outbound

This paper cites Multimodal optimization enhanced cooperative coevolution for large-scale optimization,.

Generative Multi-Form Bayesian Optimization Multimodal optimization enhanced cooperative coevolution for large-scale optimization,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.545024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.516100Z digest=sha256:1a47f2fe298716959bb44dbdbe14cd985be7a93b8f68b6660306442d71d8e535

Observation 4c58d322-af18-4fb7-9e3d-a3e0b5fdf2ac · outbound

This paper cites Efficient generalized surrogate-assisted evolutionary algorithm for high- dimensional expensive problems,.

Generative Multi-Form Bayesian Optimization Efficient generalized surrogate-assisted evolutionary algorithm for high- dimensional expensive problems,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.526653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.521134Z digest=sha256:871aaa1b37efd3455217d90d0e81cb11bcbad9bfff3378f47f926fb9cae877ea

Observation 371273cd-ad6f-47fa-b2dc-439185506b69 · outbound

This paper cites A social learning particle swarm optimization algorithm for scalable opti- mization,.

Generative Multi-Form Bayesian Optimization A social learning particle swarm optimization algorithm for scalable opti- mization,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.505371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.526638Z digest=sha256:6e114989ee882aad0a7e32b6ba2c3e29caa8e46bab8e92b740be154b3a8645ec

Observation 18790d2a-896d-4803-882a-3c1dcaa1539c · outbound

This paper cites Committee-based active learning for surrogate-assisted particle swarm optimization of expensive problems,.

Generative Multi-Form Bayesian Optimization Committee-based active learning for surrogate-assisted particle swarm optimization of expensive problems,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.486909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.532849Z digest=sha256:db413e9bde275ba636a752f3254781710a5395c288935b8599ff34c182885db2

Observation fd0e35a8-f134-4527-bb3c-6dd93c78fc31 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Generative Multi-Form Bayesian Optimization A Tutorial on Bayesian Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.539146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.539146Z digest=sha256:de7f9286ffb97fc93f6b70eea2d35f90fd81ffd3a43cfdb2bded4a62792ce065

Observation faeb78e0-12e6-4144-bb4e-79fbfc53c24d · outbound

This paper cites Funneled bayesian optimization for design, tuning and control of autonomous systems,.

Generative Multi-Form Bayesian Optimization Funneled bayesian optimization for design, tuning and control of autonomous systems,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.469306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.545811Z digest=sha256:05af4ce0ac678e06637bdc95bc17ae2d32fb278f55f6383243b66a6e533e5d44

Observation 0bc4bc8f-921e-4bc9-be98-6ca54572afdb · outbound

This paper cites Good practices for Bayesian Optimization of high dimensional structured spaces.

Generative Multi-Form Bayesian Optimization Good practices for Bayesian Optimization of high dimensional structured spaces

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:19:55.814097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.551483Z digest=sha256:a1839ef72cad4ba83ce5d6a93875f64fe1c914a418b9ec8afd4841b2ab5a2185

Observation 7bcab035-f3c1-4429-b88f-23bb0d443356 · outbound

This paper cites Calibrated and recalibrated expected improvements for bayesian optimization,.

Generative Multi-Form Bayesian Optimization Calibrated and recalibrated expected improvements for bayesian optimization,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.558942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.558942Z digest=sha256:b0f459ae6a10dccac8fe9405ff26933c13fa17e715b6bae10c02d7706e503407

Observation 7c833ba0-60f9-4c0b-bc4f-2832d6ebab3c · outbound

This paper cites Generalizing transfer bayesian optimization to source-target heterogeneity,.

Generative Multi-Form Bayesian Optimization Generalizing transfer bayesian optimization to source-target heterogeneity,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.439214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.564948Z digest=sha256:d69b6b4676a0f51b6df9154f465264432c6bec098368c00f9982608b34062e39

Observation 6af80dd8-7ae7-41c6-a4b1-93e11fdf09af · outbound

This paper cites Auto-Encoding Variational Bayes.

Generative Multi-Form Bayesian Optimization Auto-Encoding Variational Bayes

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.570927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.570927Z digest=sha256:595ee40e71da7235ab5f72a7d757d92f848c489b1303b0187ad2aa1cbe9a7299

Observation 233311ff-f4c3-4fc9-8740-8f41512aafc6 · outbound

This paper cites Generative adversarial nets,.

Generative Multi-Form Bayesian Optimization Generative adversarial nets,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.422434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.576717Z digest=sha256:45c4efa5e4bd1fd120e2382dd1f9524cf6bd51e34561a79e08dba10e0c3f4110

Observation 7bacb990-cdfe-4aae-9f57-0de680c19817 · outbound

This paper cites Generative adversarial networks: An overview,.

Generative Multi-Form Bayesian Optimization Generative adversarial networks: An overview,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.404634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.581705Z digest=sha256:5104cc62ed997ab682418cce197aa11225c451facb2d52f0f7552d621e148856

Observation f6211261-5d45-41e6-94b6-6a07a5b5fae4 · outbound

This paper cites Knowledge transfer through machine learning in aircraft design,.

Generative Multi-Form Bayesian Optimization Knowledge transfer through machine learning in aircraft design,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.384234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.586795Z digest=sha256:126f5ea434210f7b0b3b6df67b7a478d6116256ce26e4b0825991b0cdbc2aba6

Observation 24b01890-b932-4d72-b70e-86d8b3052fe0 · outbound

This paper cites Efficient transfer learning method for automatic hyperparameter tuning,.

Generative Multi-Form Bayesian Optimization Efficient transfer learning method for automatic hyperparameter tuning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.366442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.592251Z digest=sha256:527db93de43907ebe57ebcbd6b1ab51817890526955fb92d22c43138b6c19401

Observation cd648973-1677-4a06-8035-40ee9fe9a72d · outbound

This paper cites Evolutionary transfer optimization-a new frontier in evolutionary computation research,.

Generative Multi-Form Bayesian Optimization Evolutionary transfer optimization-a new frontier in evolutionary computation research,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.350142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.598204Z digest=sha256:8234890bff4b73c6b5ab56e8319e4f62e6154453d6c460402642cadbe2ff52ce

Observation 74df7288-97ea-4467-a5e9-0be921db107c · outbound

This paper cites A review on evolutionary multi-task optimization: Trends and challenges,.

Generative Multi-Form Bayesian Optimization A review on evolutionary multi-task optimization: Trends and challenges,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.332891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.604564Z digest=sha256:ab4bd7586eab4a54afe141465e8c5ada960ae7d45892c6c538e590793f56a799

Observation 761ae13a-c27b-4394-9c20-d93acd924742 · outbound

This paper cites A flexible transfer learning framework for bayesian optimization with convergence guarantee,.

Generative Multi-Form Bayesian Optimization A flexible transfer learning framework for bayesian optimization with convergence guarantee,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.314512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.609746Z digest=sha256:46f953688ab5b562273a594db909e0522ebf2a33757678cfb5ef918681b19ad8

Observation affc0cbb-c89b-4838-bd16-327db805d8d4 · outbound

This paper cites Multi-objective multi-tasking optimization based on incremental learning,.

Generative Multi-Form Bayesian Optimization Multi-objective multi-tasking optimization based on incremental learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.292964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.614956Z digest=sha256:c39330c749e28d78b16cbe4c6f198912ec82d05fc5931b937ac512f3e1f458d6

Observation e0cbd6c5-87e1-481c-8484-919d6eeacfb0 · outbound

This paper cites Multi-task bayesian optimization,.

Generative Multi-Form Bayesian Optimization Multi-task bayesian optimization,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.620210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.620210Z digest=sha256:4c6cb9054fe6f9260ed13ec893dfd74752ee9f283257dfae82fe7759de165cb7

Observation 91c34ed3-dd3e-4985-8ab3-30ed016d0ea4 · outbound

This paper cites Reducing local optima in single-objective problems by multi-objectivization,.

Generative Multi-Form Bayesian Optimization Reducing local optima in single-objective problems by multi-objectivization,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.264846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.626375Z digest=sha256:e0283c3bd7d22da8539d950579b580c1e4438bfa3115e0d42d853501942ab5e4

Observation a6d486b6-0da9-41dc-8528-484495ce1c94 · outbound

This paper cites Multiobjectivization by decomposition of scalar cost func- tions,.

Generative Multi-Form Bayesian Optimization Multiobjectivization by decomposition of scalar cost func- tions,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.246791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.631941Z digest=sha256:20f6fc06f8ae2c1931c02801f8521d067f36fea34c0e2e954a685c9cf3818f53

Observation cb1ba860-e3db-4c95-82eb-570534a95c62 · outbound

This paper cites Parallel multi-fidelity expected improvement method for efficient global optimization,.

Generative Multi-Form Bayesian Optimization Parallel multi-fidelity expected improvement method for efficient global optimization,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.638437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.638437Z digest=sha256:6a8a406780fda101becc79763f56e1fd161dbc2447cd433bf5ff5eb4252e9240

Observation e6b08ff7-a226-4440-8710-a3b391b4253d · outbound

This paper cites Analysis of dataset selection for multi-fidelity surrogates for a turbine problem,.

Generative Multi-Form Bayesian Optimization Analysis of dataset selection for multi-fidelity surrogates for a turbine problem,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.644108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.644108Z digest=sha256:86034336d178c65eb9508ecad0c9d2a691cbac51cd81edbacd29c64825a774e6

Observation dd7ab55b-6cad-4604-82fb-9c66ef44ff88 · outbound

This paper cites Multi-fidelity bayesian optimization via deep neural net- works,.

Generative Multi-Form Bayesian Optimization Multi-fidelity bayesian optimization via deep neural net- works,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.201895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.649892Z digest=sha256:4e005a41304064ab880d5d0d58d1e9d30a68d6ca70a5ef6b4cee2ad5405a2ac2

Observation 1059f8f7-45c4-482b-a1e0-1ff6e54a88a0 · outbound

This paper cites Theoretical and numerical constraint-handling techniques used with evolutionary algo- rithms: a survey of the state of the art,.

Generative Multi-Form Bayesian Optimization Theoretical and numerical constraint-handling techniques used with evolutionary algo- rithms: a survey of the state of the art,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.185034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.662039Z digest=sha256:9ce27a980885c5171697f38719025d655bf9b24c0591ea9b1cf700e71e30a098

Observation c653ae65-b0c2-4e47-a388-df7b11ea23f5 · outbound

This paper cites Nash game based efficient global optimization for large-scale design problems,.

Generative Multi-Form Bayesian Optimization Nash game based efficient global optimization for large-scale design problems,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.166426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.668977Z digest=sha256:7195d3cc4ea85d80cc5d40934d559116785ff87fba5e0447553b49821580ca54

Observation 57e0d318-cd9b-4c5d-9bb9-46a18a9c6775 · outbound

This paper cites Taking the human out of the loop: A review of bayesian optimization,.

Generative Multi-Form Bayesian Optimization Taking the human out of the loop: A review of bayesian optimization,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.674204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.674204Z digest=sha256:6b7bd546932bf516219bacc7b1d1ace6f3c77f498f1bcffc982ad72242c7dbf6

Observation 349c8959-0943-4990-ba21-54f600ba2634 · outbound

This paper cites Gaussian processes for machine learning (gpml) toolbox,.

Generative Multi-Form Bayesian Optimization Gaussian processes for machine learning (gpml) toolbox,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.138603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.679252Z digest=sha256:b1fd75813f47d01cc57a89aea4e7e08a3b5d63310b6b1a0919cfc5b2f821c0f1

Observation 01a5b65e-43ef-44b3-88a1-a4d47029c83c · outbound

This paper cites Parallel gaussian process optimization with upper confidence bound and pure exploration,.

Generative Multi-Form Bayesian Optimization Parallel gaussian process optimization with upper confidence bound and pure exploration,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.120731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.684502Z digest=sha256:a0af9bc991551bd35c99463d9fea678f485b0cec8f61fb8018dfd826d256e96c

Observation 6be5547a-6300-4ccf-9695-0fd7d7d7e6bc · outbound

This paper cites Efficient global optimization of expensive black-box functions,.

Generative Multi-Form Bayesian Optimization Efficient global optimization of expensive black-box functions,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.689514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.689514Z digest=sha256:58f7766bbed97feb94d406d62c53405e712d71171353e7592687af2ae24117d2

Observation 5572ab28-f93f-4d64-8422-561f5e8ff82c · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets,.

Generative Multi-Form Bayesian Optimization Infogan: Interpretable representation learning by information maximizing generative adversarial nets,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.089526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.694960Z digest=sha256:93e188e0c46c378f48c4929abeed6761d1dfb48b886d47580f287b691f1d9953

Observation 5c3000ed-8826-4dba-92dd-efe15940a1c0 · outbound

This paper cites Metric-based mathematical derivation of efficient airfoil design variables,.

Generative Multi-Form Bayesian Optimization Metric-based mathematical derivation of efficient airfoil design variables,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.072581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.699623Z digest=sha256:e30995c9894a0db632ab97d953c0f331ce4f405ef35e61e22d5660be14d3122b

Observation 1ec2bb6f-d36b-46b1-b656-3a8b8d9ea5dd · outbound

This paper cites Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (cma-es),.

Generative Multi-Form Bayesian Optimization Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (cma-es),

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.053081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.704927Z digest=sha256:a384baf04dc4e7c7a133c37468ae06d1b2d203d1bf9203e7d1556b0f6fd9b048

Observation bf8e5713-def4-45be-96e5-6e42baa99eb5 · outbound

This paper cites A fast kriging-assisted evolutionary algorithm based on incremental learn- ing,.

Generative Multi-Form Bayesian Optimization A fast kriging-assisted evolutionary algorithm based on incremental learn- ing,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.035514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.709793Z digest=sha256:c0e50effea43e4f3f87ce458cb1fbee40f6ddb2a136336b9f495887b2168d178

Observation 5762f41f-f679-4c54-8726-7dc14cbe6a30 · outbound

This paper cites Large sample properties of simulations using latin hypercube sampling,.

Generative Multi-Form Bayesian Optimization Large sample properties of simulations using latin hypercube sampling,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:56.013363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.714720Z digest=sha256:7307cb5c82218156311472b0a6b6c6bd117493553464121b5bfb453ae0738443

Observation 98186c05-8161-41a0-b958-54b0faff6f61 · outbound

This paper cites Hierarchical surrogate-assisted evolutionary multi-scenario airfoil shape optimization,.

Generative Multi-Form Bayesian Optimization Hierarchical surrogate-assisted evolutionary multi-scenario airfoil shape optimization,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.719601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.719601Z digest=sha256:356936f0a69c0807c72a4bc3cf1b7f928e6f287131a32ca8a7b7c90bd1117408

Observation 08ed1001-9733-4e68-b375-29913eca8867 · outbound

This paper cites Summary of low-speed airfoil data, vol. 5,.

Generative Multi-Form Bayesian Optimization Summary of low-speed airfoil data, vol. 5,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:55.975323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.724472Z digest=sha256:e39b9571a2a0557457782f2eb6eb56ac14cc520d31d46228a6d7a94578d70232

Observation 77f77cb9-022c-474d-944f-765dd3c34d8a · outbound

This paper cites Xfoil: An analysis and design system for low reynolds number airfoils,.

Generative Multi-Form Bayesian Optimization Xfoil: An analysis and design system for low reynolds number airfoils,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:55.956302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.730092Z digest=sha256:b8e561e3d9ff72c2122d8b5cc4e1ac588d600dd48c723d63ab630a27391d113c

Observation 775f3f72-83c7-4876-810e-a4de0f24afce · outbound

This paper cites Generative design of decorative architectural parts,.

Generative Multi-Form Bayesian Optimization Generative design of decorative architectural parts,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:19:55.938350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:19:55.736875Z digest=sha256:ee4a3e1302bc4f0fd0be532a1fc402309cb18368511e0663d34f0d4a72c0338e

Pith citing papers

No inbound Pith citation observations are available.