Paper Citation Record · LEDGER

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance

As of 10 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2505.17279.

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

pith.paper-citation-record.v1
2505.17279 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:42.781111Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T23:23:02.433224Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

verified exact20
verified fuzzy11
unresolved34
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1456e335-e751-460f-b9f7-99c26691b291 · outbound

This paper cites Le Clainche, E.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Le Clainche, E

Reference 1

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Observation 7ca171a0-576c-4ab6-8f68-9d7af0635672 · outbound

This paper cites Afonso, M.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Afonso, M

Reference 2

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Observation 308c45dd-2e78-46fe-9554-ee1f3aa58522 · outbound

This paper cites Skinner, H.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Skinner, H

Reference 3

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 4

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 5

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Observation 15f37040-b676-46bf-8b68-7bb954d3552b · outbound

This paper cites Ampellio, F.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Ampellio, F

Reference 6

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This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 7

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This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 8

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 9

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Observation a5cde5a7-eb3c-4da4-ac57-f736c294419f · outbound

This paper cites Forrester, A.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Forrester, A

Reference 10

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Observation 59bd47bb-79e5-4875-ba6d-7463433bc344 · outbound

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 11

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Observation 199c941a-a86c-41ab-8604-2cf2da2da494 · outbound

This paper cites Le Gratiet, J.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Le Gratiet, J

Reference 12

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Observation b6784f84-3599-4aca-b197-df437f19d9ec · outbound

This paper cites Brevault, M.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Brevault, M

Reference 13

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 14

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 15

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 16

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Observation 9ff33b65-a9af-43b3-905e-71ec9bee24e4 · outbound

This paper cites Zhang, F.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Zhang, F

Reference 17

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 18

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Observation 5f177237-25c0-42a8-8571-d92b251b5b00 · outbound

This paper cites Charayron, T.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Charayron, T

Reference 19

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Observation 9ae45ce9-6d97-42c2-8d74-f954bc0a9167 · outbound

This paper cites Mourousias, B.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Mourousias, B

Reference 20

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Observation 1af2885a-5142-4e8b-b086-d111869c5fc2 · outbound

This paper cites Leusink, D.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Leusink, D

Reference 21

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Observation b8f44c78-fcf2-4552-97bf-9cae1627a01e · outbound

This paper cites Matar, Analysis of loss mechanisms inside Organic Rankine Cycle turbines and multi-fidelity optimization with LES and RANS coupling, Ph.D.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Matar, Analysis of loss mechanisms inside Organic Rankine Cycle turbines and multi-fidelity optimization with LES and RANS coupling, Ph.D

Reference 22

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Observation 4f03bef9-e1ae-4c60-90c6-c5661829ca3d · outbound

This paper cites Cost-effective multi-fidelity strategy for the optimization of high-Reynolds number turbine flows guided by LES.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Cost-effective multi-fidelity strategy for the optimization of high-Reynolds number turbine flows guided by LES

Reference 23

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Observation dea7e4a3-867c-4db8-a27a-f64f44e4d669 · outbound

This paper cites Cinnella, P.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Cinnella, P

Reference 24

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Observation 0cd94d45-e5a8-42d3-b3a0-13d508923270 · outbound

This paper cites Alauzet, A.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Alauzet, A

Reference 25

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 26

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This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 27

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 28

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Observation 0dd9261c-fe06-4ef8-bca3-8b089f11100c · outbound

This paper cites Alauzet, L.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Alauzet, L

Reference 29

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Observation b5016fd0-850a-4054-b3af-e25050df1b43 · outbound

This paper cites Multi-Fidelity Methods for Optimization: A Survey.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Multi-Fidelity Methods for Optimization: A Survey

Reference 30

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This paper cites Kennedy, Predicting the output from a complex computer code when fast approximations are available, Biometrika 87 (1) (2000) 1–13.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Kennedy, Predicting the output from a complex computer code when fast approximations are available, Biometrika 87 (1) (2000) 1–13

Reference 31

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This paper cites Perdikaris, M.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Perdikaris, M

Reference 32

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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This paper cites Deep Gaussian Processes for Multi-fidelity Modeling.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Deep Gaussian Processes for Multi-fidelity Modeling

Reference 35

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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This paper cites Bhola, S.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Bhola, S

Reference 37

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

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This paper cites Active subspace methods in theory and practice: applications to kriging surfaces.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Active subspace methods in theory and practice: applications to kriging surfaces

Reference 46

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This paper cites Cinquegrana, E.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Cinquegrana, E

Reference 47

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 48

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This paper cites Ullah, D.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Ullah, D

Reference 49

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 50

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Observation 729362c8-57b1-42f6-b8c9-ffde4c5ded28 · outbound

This paper cites Van Langenhove, D.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Van Langenhove, D

Reference 51

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This paper cites Belme, F.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Belme, F

Reference 52

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Observation 792ebd2a-cae1-4d29-9898-a844ec204827 · outbound

This paper cites Alauzet, L.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Alauzet, L

Reference 53

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Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 54

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Observation afbc1475-ea84-4faa-96c8-e4c55bedabd2 · outbound

This paper cites Wackers, M.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Wackers, M

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:53.161884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b26a754b-9fc9-406c-b432-67b3f31f74e3 · outbound

This paper cites Wackers, R.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Wackers, R

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:52.794181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c6891db-727d-4567-a4af-8adccc5c6635 · outbound

This paper cites Ishibuchi, H.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Ishibuchi, H

Reference 57

Resolution: verified exact; doi, observed 2026-08-07T14:54:44.449133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4cd1c70-3b61-4b5f-a758-178d7ed776cc · outbound

This paper cites Saves, R.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Saves, R

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:41.288515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95285ca5-58d4-47cd-a5cf-d415836e5ea1 · outbound

This paper cites Grapin, Y.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Grapin, Y

Reference 59

Resolution: verified exact; doi, observed 2026-08-07T14:54:44.263921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc6b196c-7297-47ef-9d7b-d053b51e546f · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:41.512519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2756ae4-d4a0-4414-a1ab-53063bebd791 · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 61

Resolution: verified exact; doi, observed 2026-08-07T14:54:44.087956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a6f9ddf-252e-4650-b96f-8119e476de9b · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:54:52.466806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 829f7dc7-d2a3-421e-aa6b-b3d823c216c0 · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:54:52.249409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1ff3655-e01f-4517-bbf6-2ddbd2337a3a · outbound

This paper cites Serafino, B.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Serafino, B

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:52.052740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c452f907-52e1-4528-b6fb-b9565f42e7d4 · outbound

This paper cites Alauzet, P.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Alauzet, P

Reference 65

Resolution: verified exact; doi, observed 2026-08-07T14:54:43.877389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a0dcd23-43f5-4dbb-bb3c-ed76303c0418 · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:54:51.877459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 021af549-07ef-4d22-820e-26a2a5257f63 · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 67

Resolution: verified exact; doi, observed 2026-08-07T14:54:43.650654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b5f746c-0867-4132-a670-27c58d2ad18c · outbound

This paper cites an unresolved cited work.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Unresolved cited work

Reference 68

Resolution: verified exact; doi, observed 2026-08-07T14:54:43.452352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fef9e7e-c0ba-4dcf-9c93-970f8418eb17 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Adam: A Method for Stochastic Optimization

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:42.435830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb2c9fa8-cee8-4d04-b6ed-863bc307cc7d · outbound

This paper cites Glorot, Y.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Glorot, Y

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:51.656786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03c5f80b-4f2d-401a-87c5-157b8d8bc6ff · outbound

This paper cites Zitzler, K.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Zitzler, K

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:51.481104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0a59129-270b-47bd-a7ce-bf2e1474337c · outbound

This paper cites Hergt, W.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Hergt, W

Reference 72

Resolution: verified exact; doi, observed 2026-08-07T14:54:43.234600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61cbcbdd-20e5-4218-994f-cd45ed350961 · outbound

This paper cites Hergt, M.

Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance Hergt, M

Reference 73

Resolution: verified exact; doi, observed 2026-08-07T14:54:43.032942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation d2acab6c-438f-4ef3-9641-79f88b387d06 · inbound

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization cites this paper.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-13T23:23:02.433224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.