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Paper Citation Record · LEDGER

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2505.02634.

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

pith.paper-citation-record.v1
2505.02634 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:54:44.122837Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 exact6
  • verified fuzzy24
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 809f51fc-bc7d-4638-98ce-a85bfbec12d3 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:45.087167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 39cda749-673f-4d69-ad68-77edfcc7dcc7 · outbound

This paper cites Bak , author N.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Bak , author N

Reference 2

Resolution
verified exact
doi, observed 2026-08-16T00:54:44.217056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9121b79d-ed3b-4544-8710-648c5cfb7cb6 · outbound

This paper cites Skinner \ and\ author H.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Skinner \ and\ author H

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:45.073158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.920179Z digest=sha256:55c8ae2740a5620c3c72da4c792a80ad3b66f5da4a6ad3163f4dbe4bcd4f457e

Observation 2b42e7cd-edbc-4cc7-bd95-4e01258d4b3c · outbound

This paper cites A review on Deep Reinforcement Learning for Fluid Mechanics.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints A review on Deep Reinforcement Learning for Fluid Mechanics

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:54:44.560027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.925088Z digest=sha256:40833d5792e52515bbedd87f0c5d4ea408204ac21a374e668041fe724e350565

Observation 83f68468-7c1c-45c9-9ef7-369584ead56e · outbound

This paper cites Secanell \ and\ author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Secanell \ and\ author A

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:45.058913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.930268Z digest=sha256:da7e5425bfe74b2ceed938e6eec4c5c97bfc7642dc97b7e6add788db5010924a

Observation 84fcbdd5-6b16-4a57-b4f3-40c2103aebfe · outbound

This paper cites Lyu , Z.; Xu \ and\ author J.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Lyu , Z.; Xu \ and\ author J

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:45.045636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.934742Z digest=sha256:da43ee28b4a39b0270e19ba37dbe602747bb69abc8ffc2f301aad72b993e892f

Observation f2c35c71-b9db-4026-8119-1b8e4008baa1 · outbound

This paper cites Pironneau ,\ title title On optimum design in fluid mechanics , \ @noop journal journal Journal of Fluid Mechanics \ volume 64 ,\ pages 97--110 ( year 1974 ) NoStop.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Pironneau ,\ title title On optimum design in fluid mechanics , \ @noop journal journal Journal of Fluid Mechanics \ volume 64 ,\ pages 97--110 ( year 1974 ) NoStop

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:45.031938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.939268Z digest=sha256:afff8371cdf6e807c45acc51b6bf42679aefcd431851e8e3adbe3df7732c4ba5

Observation 3829e655-d0af-4a90-9416-f6babfedae30 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:45.017220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.943788Z digest=sha256:b638184dee7958505b445b92390d49d8a38cdc89ae6afa9d2f59fff0fbeda483

Observation b9908879-d78e-4c72-bed8-97bb635c4fac · outbound

This paper cites Jameson , author L.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Jameson , author L

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:45.002697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.947849Z digest=sha256:826541618bfbc749cef9653afe05001a2a99fa002483c6747a3cc306251833ff

Observation 2e5e5534-f458-4872-9fc3-1668a0f30851 · outbound

This paper cites Jichao , author D.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Jichao , author D

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.988368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.951857Z digest=sha256:56eb346e6b2c1efededc4352e3c82c2139988eebddb2f2ebf8247246833895e8

Observation 7a46a5ac-0f35-49e9-961e-92f5354d80f1 · outbound

This paper cites Viquerat , author J.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Viquerat , author J

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.972979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.955528Z digest=sha256:8b6e36f3cca51755e2277f5016162f4cc3cd4cacf813db35c106e415d6badfee

Observation 3a05d6b0-b29d-4d92-88be-c798ec4a15ab · outbound

This paper cites Bizzarrini , author F.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Bizzarrini , author F

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.956739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.959465Z digest=sha256:d9d94d84d0bebaee54535f5f085c123f432ff5f58e9b593ceb260f40e4d9dda1

Observation d6703d89-5796-46ca-adb0-c85019dcc7b1 · outbound

This paper cites \ Wang , author B.-Q.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints \ Wang , author B.-Q

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.942518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.963166Z digest=sha256:3559ef73980cd04301c3e4836091b8843b17bd97ddb291a9285f3182c99d0dd5

Observation 6d3736fc-25b6-46ab-82d2-873762ad6ec1 · outbound

This paper cites Fourie \ and\ author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Fourie \ and\ author A

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.928458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.967031Z digest=sha256:b13ce65049c9709b5848c0d02c7f6f700699568fe6cd98601075ad8d33a20548

Observation 11a22b9b-e641-4235-837d-f95396364b7e · outbound

This paper cites Nejat , author P.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Nejat , author P

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.914902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.970907Z digest=sha256:4bcf7d87d005bd933efa37916e4aee7125128be80c73b866f2ac8ea7441b338a

Observation 53bbc092-47cb-4742-bbf7-7725676464a7 · outbound

This paper cites Wang , author J.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Wang , author J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.900676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.974953Z digest=sha256:5ef46bc5bdb2ab5a56ccfd87a5d54aa2066162cc43d5315f24c41921204e3845

Observation 3689419b-43f9-42b7-a8d7-3726825db3f3 · outbound

This paper cites Arulkumaran , author M.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Arulkumaran , author M

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:43.979020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cf47b783-eb49-4c8d-89ef-b2c8dd1ed820 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.877574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.983101Z digest=sha256:168d6b74cdbcb32d7663cb155c3dd3b903f29ce40b22feaccfb0aa99c7ecbd36

Observation 58fc05db-7a32-45d8-898d-a5cdbe2869ab · outbound

This paper cites Lou , author R.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Lou , author R

Reference 19

Resolution
verified exact
doi, observed 2026-08-16T00:54:44.202371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.987751Z digest=sha256:998f617860388f2737d6cb59a4e7f20f739ce3d3a077b1e44ebe2593989ee6ae

Observation 4acc4325-e9b6-4792-8af7-d8f90200c1a9 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.864484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 48bf6bf1-9f4d-417e-b77e-d2290a31344e · outbound

This paper cites Vinuesa , author S.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Vinuesa , author S

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.851315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.996877Z digest=sha256:4d81be9e6ceadb5621e0a7cca9635bb24294a987872de67b68b1e801f7b8acf1

Observation d019e733-0168-4428-95cb-877f5458d934 · outbound

This paper cites Vinuesa \ and\ author S.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Vinuesa \ and\ author S

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.837981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3854d252-0092-485d-ac90-807508971c68 · outbound

This paper cites Le Clainche , author E.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Le Clainche , author E

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.823846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 38bb9b8c-54f5-44e7-92c3-d7040a73fdf9 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.809767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1b6c0486-aa65-4cb7-8e4b-c7b028f4ae5d · outbound

This paper cites Lacasa , author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Lacasa , author A

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.795476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 082c8b6a-5f76-4710-b030-4c9c2bf64273 · outbound

This paper cites Liu , author M.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Liu , author M

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.017160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cd9e5e6a-5c8c-4c5b-acbd-4dd060db965b · outbound

This paper cites Liu , author R.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Liu , author R

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.021358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.021358Z digest=sha256:ddd28daa5a47f58cdfe5eb84de1e30fa182ca771c0f2ab547e0da07c17f51e86

Observation b79e6498-47ad-49cc-b3ee-e3350061f676 · outbound

This paper cites Yan , author J.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Yan , author J

Reference 28

Resolution
verified exact
doi, observed 2026-08-16T00:54:44.175948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d54b5c4e-f410-4ff9-918d-dc12a213f525 · outbound

This paper cites Noda , author K.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Noda , author K

Reference 29

Resolution
verified exact
doi, observed 2026-08-16T00:54:44.160624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 22279fef-8686-47bd-94e3-8db5bc59a1d5 · outbound

This paper cites Bhola , author S.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Bhola , author S

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.034357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.034357Z digest=sha256:f02f5e48f764f16719fcbaf04da7dd09716236a667a9ae368611f59f90dcff31

Observation c7a34855-f155-4524-93f7-514551ac07d5 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.782019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6c265bdb-161e-49dd-9542-5d179f8a1db2 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.767825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6822a28a-b1da-4970-906e-89d7f5d1dd34 · outbound

This paper cites NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.046440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.046440Z digest=sha256:0683d6a75b6e1618de14fd1461e81e9a96807a029f49b400617fd0aa41932b97

Observation d512131d-ca85-4df5-bfdf-e0167c437816 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.753657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.051151Z digest=sha256:e94da97a13d76a08a63a03af2bf0433f4f8fc7cb7078d11e263f3dece42a3248

Observation 10d72a45-398d-4aea-b2bd-4d66d0c1af98 · outbound

This paper cites Eiximeno , author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Eiximeno , author A

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.055144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.055144Z digest=sha256:dcb03f989230832cf8b94e5b77dd10932f1213c38f10a75eaf48741ac011bf9a

Observation 9adca417-fbc1-4bc4-8008-0b8ba4c26484 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.740053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.060472Z digest=sha256:0d388150e4911d49e7789c7762c17e26c2a92e48e16f8ce1f0e01df66d57c71e

Observation 44bd9fec-14fc-4003-a856-8b3f7115dbbf · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.064422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.064422Z digest=sha256:eadac109f3b5c636d5258717dabd83b73fed0c270b96816cc23c5593cdec72f2

Observation 38e126c9-d69b-4cdd-9b9a-6dcf2f464160 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.726387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.068712Z digest=sha256:30c837d4f944b607bf8d6089978399415c3d1f33a53c54798ccffd9023041e98

Observation 2b8056cc-acc4-4dd8-be5f-0e8e30c2b78c · outbound

This paper cites Huergo , author G.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Huergo , author G

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.712477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.072569Z digest=sha256:5cb0896f9aba41821dcde3b03a77099ddd7f4628807a5707634b6966312075a9

Observation b59ffd48-77a9-41a4-8ef2-1ecd32d2697a · outbound

This paper cites Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:54:44.255137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.076494Z digest=sha256:cd995f417ceab7ccc2a28340f856228b5fd6217c1687458f12da6360b62a4609

Observation 797445a7-59f0-40d2-be4d-c8b7f7971b07 · outbound

This paper cites Mnih , author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Mnih , author A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.698578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.081007Z digest=sha256:5480b298b391cb255b0156beea96ed456b21beee74511244d7446553a8461658

Observation f104c820-0499-4b7e-ba2a-f1c24b6fb38f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Proximal Policy Optimization Algorithms

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.085137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.085137Z digest=sha256:32f6cf248d3ed4b9a5855c2f7314221a8601a069e089dd381e7169bca00569c8

Observation 56415118-5abf-442c-b337-d5c5b6cac37e · outbound

This paper cites Haarnoja , author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Haarnoja , author A

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.684537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.089322Z digest=sha256:e89c2fae738314df47364816b127b38dfb420835b14e2372acfc1a94528d8c33

Observation 6d65e15e-33c1-40ad-a3d0-41ca7eed27b2 · outbound

This paper cites Fujimoto , author H.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Fujimoto , author H

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.671163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.093512Z digest=sha256:674ea04751064f5da4b7bfd32cbe2ad5ecdd0e69b04abe092feb8dfc3deee2b5

Observation 7961bade-f0dc-4126-bdcd-61ad96c25029 · outbound

This paper cites Raffin , author A.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Raffin , author A

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.656714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.097587Z digest=sha256:86ac5f34365739775ab67b934849c39cd23bb432fce5993135af8d5fc56724c6

Observation 7ba05062-d637-422a-9118-3ea4dfeb4acd · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.640495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.101764Z digest=sha256:bd5dae603b71adf0feeebff6bbd4b4bbde1fc5aca93d290d8215b6e2feb3986b

Observation 5dc01ffc-ac8b-45f2-9b8f-4ff6bf541b36 · outbound

This paper cites Kennedy \ and\ author R.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Kennedy \ and\ author R

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.626423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.106035Z digest=sha256:67b5a9e5120348cee303d04e2cdf1fb92cc530afac0f9eb67e126adb68aea270

Observation 7d1be1f8-296b-44e7-916c-9b4c2ce410fa · outbound

This paper cites Mukesh , author K.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Mukesh , author K

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.611740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.110354Z digest=sha256:df65287633eab887f616b7f69231f5ab86913fe212c6beaa6c5dfb9f59297fcf

Observation a0adc9dc-5099-4230-971e-a109a1a62161 · outbound

This paper cites Hoyos , author J.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Hoyos , author J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:54:44.597580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.114562Z digest=sha256:3b83f74c2c40551588f5931e8dd54af9adcc069b47e64b04b39632005b156f8f

Observation 0279f2aa-b248-4e9a-bd81-714d092489c0 · outbound

This paper cites an unresolved cited work.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:54:44.583779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.118711Z digest=sha256:b13b007c0ce95bc25ddeb31b51c6c5d835abe9df676298c35a247f1925d1a7a5

Observation 4565a459-f245-4b89-8e91-3c4b3337d773 · outbound

This paper cites Akiba , author S.

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints Akiba , author S

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T00:54:44.122837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:54:44.122837Z digest=sha256:7a5ca926a187bc9a5b8468ace45d4140fb5886e8a8e145ee0efb3b0c3a9ce797

Pith citing papers

No inbound Pith citation observations are available.