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Paper Citation Record · LEDGER

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2603.17057.

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

pith.paper-citation-record.v1
2603.17057 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

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

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

64 of 64 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier9
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 852bf718-ba06-43a1-a695-85778e211da0 · outbound

This paper cites Jameson, Aerodynamic design via control theory, Journal of scientific computing (1988).

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Jameson, Aerodynamic design via control theory, Journal of scientific computing (1988)

Reference 1

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Observation 5d5f4365-b8b0-4abb-bc8f-d6ebfe1044ba · outbound

This paper cites Reuther, A.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Reuther, A

Reference 2

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Observation 964157a8-c4bd-494b-ac80-022213a7ea3e · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 3

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Observation d8d5abb8-4c8a-4ecf-b5d4-420c21bfeb18 · outbound

This paper cites Yondo, E.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Yondo, E

Reference 4

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Observation 3a5a4006-2208-45b4-aa8c-c3a10cf9cabc · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:16b7ccb4103ca48c32cefbc63249310f0ed92f8f9d18d983286ec8a20f102a39

Observation 37f20d6e-3f5b-47a0-9732-7cfb65b85ed4 · outbound

This paper cites Nagawkar, L.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Nagawkar, L

Reference 6

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:26dbc972d14a2403949c667accb021afac99675bd1693aef6089cf35a269abd0

Observation a6991c03-9ba7-4d37-bc3f-beb0dc85ecd8 · outbound

This paper cites Laurenceau, P.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Laurenceau, P

Reference 7

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:4c4ba5c9629f9db44681304d985b4b17805209bd3233f25c91c3167418cb1b7d

Observation 64681513-1497-4480-b79b-e17d2874c1b6 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:14f51a78a0178b63a0dc729d888cc2ab5ab55b07bad86ca05e8790c3c2c0d412

Observation 8c9f6439-70ad-41fd-abbc-73811d6d9fc4 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 9

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Observation 8d097772-12eb-456e-a26b-8a912646f718 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 10

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:edc88df71984f7559335d5c58e2ba3188f7b629dd7162dd489c467c386025b68

Observation 647de513-a4d1-4d8a-84fd-74610ab03a69 · outbound

This paper cites Wu, X.-Y.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Wu, X.-Y

Reference 11

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:9425b7b8db87606fc4459b1cb1f09cf5b1e43302f1e04dabcb6bff5099b28cfb

Observation d635cf2a-6f7c-4d0c-87fb-fc3c89872476 · outbound

This paper cites Esfahanian, M.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Esfahanian, M

Reference 12

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Observation fb6b934f-8f08-46ee-9991-eaceb34e7a7e · outbound

This paper cites Raissi, P.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Raissi, P

Reference 13

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Observation 25233cf8-356f-43ef-8050-f953481749ab · outbound

This paper cites Shukla, V.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Shukla, V

Reference 14

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Observation 8ec5a428-c70c-4126-8d0d-60a888f9f811 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:ba9c12a648aaf15e360f497f015a9616c474f1b65b7f8aab027e1cd6d45d060d

Observation 99e1ade6-2804-44d1-ac53-a3de2db69b4e · outbound

This paper cites Pereira, F.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Pereira, F

Reference 16

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:73be761f3af05b7739ac04712e8e7f978d694a7dde807323da5505c76a6404e5

Observation f9ca1f7f-1799-42d7-9569-6431e3afe20c · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 17

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:cb4f7be38f668ab2f718416bb421ed5da4dd62168c72a48c8e4b3a862f123acb

Observation 670ceb05-a493-4a20-907f-60171a224883 · outbound

This paper cites Rajnarayan, A.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Rajnarayan, A

Reference 18

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:2e6a13b75121fd2b7041a2ab32d52cb47cfc5869be03c29d930015b8b083b54f

Observation 2da7c571-0575-48f1-a44a-36e71077a260 · outbound

This paper cites Della Vecchia, E.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Della Vecchia, E

Reference 19

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Observation f84046c6-0e6f-41c0-b4ff-4f9e48f754a6 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 20

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Observation 969f49ca-4789-49c1-8501-3688e7e8f6be · outbound

This paper cites Kulfan, A Universal Parametric Geometry Rep- resentation Method - "CST", Aerospace Sciences Meetings, American Institute of Aeronautics and As- tronautics, 2007.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Kulfan, A Universal Parametric Geometry Rep- resentation Method - "CST", Aerospace Sciences Meetings, American Institute of Aeronautics and As- tronautics, 2007

Reference 21

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Observation af16fff2-d452-4009-bd07-bb6ca1eaa775 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 22

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Observation 64998df2-16f4-4a4e-8773-74b6578b914d · outbound

This paper cites Zhang, X.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Zhang, X

Reference 23

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Observation 94e885cc-b596-4318-9c3f-0dedc96a0fdc · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 24

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Observation 72face26-72c3-49e9-ada9-9270eee601ed · outbound

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Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 25

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Observation 047024f3-98b6-4e65-84f9-e8c865fdead8 · outbound

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Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 26

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Observation 73353e18-16dd-4029-a9dd-2f74b9efad03 · outbound

This paper cites Yonekura, K.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Yonekura, K

Reference 27

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Observation dd91e56e-f899-43ad-bdb1-4bf04de7dd87 · outbound

This paper cites Achour, W.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Achour, W

Reference 28

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Observation 360dc8ae-7f2f-4e46-a51c-cb2959437364 · outbound

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Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 29

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Observation d9d75f28-984f-4597-8b84-12b52e166bdf · outbound

This paper cites Sekar, Q.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Sekar, Q

Reference 30

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Observation 5e8f237d-dc9d-4ce3-90e0-a3e080241512 · outbound

This paper cites Giselle Fernández-Godino, Review of multi- fidelity models, Advances in Computational Science and Engineering 1 (2023) 351–400.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Giselle Fernández-Godino, Review of multi- fidelity models, Advances in Computational Science and Engineering 1 (2023) 351–400

Reference 31

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Observation ab59be0c-b9b6-4d1d-bf1d-32150fe770a8 · outbound

This paper cites Schouler, A.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Schouler, A

Reference 32

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Observation ddf969f8-9739-4f85-8e7f-b1bed991050f · outbound

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Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 33

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Observation 5b8f8155-01ed-4564-bd23-09fdc2f40920 · outbound

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Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 34

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Observation cadd3bac-802d-4b5c-8645-3fd0b9fdb120 · outbound

This paper cites Zheng, X.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Zheng, X

Reference 35

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arxiv_id, observed 2026-07-13T23:30:04.235228Z

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Observation 2e674b42-b11a-4a7e-baf2-931845c97b6c · outbound

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Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 36

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

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

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

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Observation f3189283-8817-4836-a576-93781cfa79ac · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 38

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Observation 3e4bb087-cd84-4734-a797-d4e5d3d6a108 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 39

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Observation 5649fdfc-6c55-472b-927e-ce50769151c9 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 40

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:eff3375187b977239b25af492f751e9d0b9fbbfb2dcf93c8a313797bab9dc449

Observation 46e369d2-414d-4ec3-9ae9-8bbf3f2c4ce4 · outbound

This paper cites Brevault, M.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Brevault, M

Reference 41

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:245e587e8e4e84cc22611ad1cc2b3b885b879a56218574db63bd4de3a46e6332

Observation 289f803d-7a27-4cbf-9103-f8974b3d4cc7 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 42

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Observation 1eaafcd1-0abc-4d7f-8cc2-e5e5ed5dfd1c · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 43

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arxiv_id, observed 2026-07-13T23:30:04.237867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:05b5fc04a5ab1c10691f5a384941741e99beea96484c498416efa344555b50cb

Observation 42f24af4-bc41-4fb1-b386-f5e52eb5f1e5 · outbound

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

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Deep Gaussian Processes for Multi-fidelity Modeling

Reference 44

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:7755d0fab498fe3f27c3d1d2929863dc648f0ae94b8c6f10ad943baee9bd6853

Observation f604aaff-7206-4954-93aa-42cb18d7babf · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 45

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Observation c033bb3b-d697-4e63-bf48-7bafe9951f9e · outbound

This paper cites Bhola, S.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Bhola, S

Reference 46

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Observation 7aa8968a-c040-4394-9d4f-cf81baadca63 · outbound

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

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Multi-Fidelity Methods for Optimization: A Survey

Reference 47

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:47154e63faa846b66abc0ffdd0f77bf2037bd4fc9b29cf74d461e8910e68e93b

Observation 7415aed2-a622-406a-a1a7-ad56449fdc89 · outbound

This paper cites MOHAMMAD ZADEH, M.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization MOHAMMAD ZADEH, M

Reference 49

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doi, observed 2026-07-13T23:30:04.268352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:1bada96bd3a36c039ae3d96560828fff27a468008191aec27c54052aa3a3b4e5

Observation 60944c59-2f06-42a3-823e-fa3d8103f862 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 50

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:bc95d0aa307972225a7e017e16c56cc3098093c9d90cacd9036d9830c83a293b

Observation 7ae1774a-9ecf-494a-b59e-1e28735ae6ee · outbound

This paper cites Zhang, F.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Zhang, F

Reference 51

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:6972614fda723d9e1e9fd10129b84c2fc945cef30d0524c26bf27248c76e124f

Observation e52fb087-9e72-4e74-b613-99a9f2182137 · outbound

This paper cites Charayron, T.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Charayron, T

Reference 52

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arxiv_id, observed 2026-07-13T23:30:04.251149Z

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:6f7c81df2bd6d4a52af3be034a261b451e4b9ec4f1b66f132fafba8aa772e102

Observation 55ff7d40-bec5-42b6-8d6f-f5b1f5c43bc0 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 53

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:630cd591906ab2b59199a46d324d4187373bdafc5fffd086854c8d4d461c2d34

Observation 3b2b537f-9773-47a6-a4a5-32ca0f6a8765 · outbound

This paper cites Mourousias, B.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Mourousias, B

Reference 54

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:6e7c5a75200cd598972a71dbfa54e8295924409899d021cf5742a4a1f4fa124d

Observation 3d6befa3-f7c1-4ab8-8d26-6d080a28e08e · outbound

This paper cites Robledo, Y.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Robledo, Y

Reference 55

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arxiv_id, observed 2026-07-13T23:30:04.254126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:6bd4a67fb7f3177d7b70133454d65027a92a051c8d123291797011cc1ab06b94

Observation 8687eda5-8f9e-4087-889f-1a3aed801219 · outbound

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

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Drela, Xfoil: An analysis and design system for low reynolds number airfoils, in: T

Reference 56

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:15af25ff3651b9efd48d29d2bbbd307bb9faac6506a0390788f631fc41c53197

Observation c9edcf51-2fa2-494d-8afb-853c1c67aadc · outbound

This paper cites Morgado, R.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Morgado, R

Reference 57

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:b11c94db01c04151dcd9366f31c5a7c0463903ece7e7fe06920bb4ae824ccc42

Observation 8b97c501-1732-439b-b507-dd3bcad6f380 · outbound

This paper cites Zhang, H.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Zhang, H

Reference 58

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:010b7ae37e10fbe8b920ec7cbe5e78e16bad212f2bbe4f978bcb262f61b889b4

Observation 49912a73-e247-4419-8138-7c5e14e14300 · outbound

This paper cites Carreño Ruiz, D.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Carreño Ruiz, D

Reference 59

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:0f80ff6a7fb1b2c1e66f62beb6d12b0340f189f52aa72d9da52a7ca2f25b32c6

Observation 8f9a8a77-4d46-4d7b-b935-236b6ce797e3 · outbound

This paper cites Jasak, Openfoam: Open source cfd in research and industry, International Journal of Naval Architec- ture and Ocean Engineering 1 (2009) 89–94.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Jasak, Openfoam: Open source cfd in research and industry, International Journal of Naval Architec- ture and Ocean Engineering 1 (2009) 89–94

Reference 60

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:6897bfcf36f5cb9a7e2207a5d7d2f86596f070133cfe56a67b39a204216740fc

Observation 7a049f17-4460-4adb-b09a-6a5045c2dd65 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 61

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:f26fdb82c30f57f2c0f5ffef793bd4a964041f7fefbc8e6b86c0bbf92ba9aad5

Observation 93f3f8a2-85af-4c5b-a08a-7376a482ad63 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 62

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:6fb90c8a971b55d0d9fa3648a587b63c7ac5eb28d766376592b08d7f2a30b0ed

Observation afd4a86d-9a27-47d9-88c0-bd089791ca67 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 63

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:46fd7536ce66c791d6d1532beb6d1edb20a0784c8cc06c7a743fbf3679a7dd6b

Observation 84a20d0c-4763-4e74-b028-0e4967583125 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 64

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source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:84b91f9244bdbde6b69dbb05b567280fcab81d26c44ce8fa8534bd98b01a10ac

Observation 71228e50-0a26-4e4f-b20d-57abf0563044 · outbound

This paper cites an unresolved cited work.

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization Unresolved cited work

Reference 65

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doi, observed 2026-07-13T23:30:04.239649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-13T23:23:02.433224Z digest=sha256:01061ea420b0910c964005b2751be5cceec455a49a32bf5e9f17e7dbe564dc2e

Pith citing papers

No inbound Pith citation observations are available.