Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.910741Z digest=sha256:73a139a78b9aa7ff4506171f99ba8027be971f6f28596cf5ff8063b18b189112

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.915786Z digest=sha256:5209c0e0661c4a88fbc912d93ed2eb007588c687b5f20867270080b2e24e07e0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.920179Z digest=sha256:45e5ae7b19fb94af465e1d5705fb4ffa639eabf3be79c9bc23491e97ae64eec8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.925088Z digest=sha256:e0dc5694203542c5661c56357d336fd6b719b4833c468c4131e84c78f6b4036e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.930268Z digest=sha256:015381f54c332e86e42e4ba3e09a35e13d991dda92fbbd76430a945e35a8040b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.934742Z digest=sha256:59f18bfe6d0883e4f4b721503ba1cc938428b1a70bc5a0d050558fab61ca3e5b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.939268Z digest=sha256:056d46b258e2aa4175ce209879e873aaaa2f5e0d5de314e29608d10e9f2100c6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.943788Z digest=sha256:7ecfe1e32db4960431995653ab7b7c6d24b6048ab3a885852755acf7510c1c38

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.947849Z digest=sha256:0db110dcb4819b7c5273ad551dff7b265d2bfa0f5a6c7dd7484dc36d75b17f5f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.951857Z digest=sha256:12d789507ed2c47587b86bdc015826a4fe761e18015a4dc57ec806e38dc3af82

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.955528Z digest=sha256:ff8eb0b6565c6f8e57b7ca7411a750c3b0079f25838879bffeabe2a1f7036cc1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.959465Z digest=sha256:d938289e3df58b50cdb25185d6277d0a47ec75af586980bcbbd556100c72001b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.963166Z digest=sha256:eb47b936ffeae6c0273e4b29a5c44552aecf4308f09dbde2743fbdab9d3b7770

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.967031Z digest=sha256:7275f5caf7a9f4449555809213e52315115d2a4cc1b78a5cec2336ab3eb5cd1c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.970907Z digest=sha256:36dcb0a05075754ed4ca0311c4ec93a3150d839bb89db9afa8daaa3d0b5f0fde

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.974953Z digest=sha256:7d58f72cb3c3d6e6589e6f68250668d8ebfa68277a01189bde639da892525ae0

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.

source=arxiv_source observed=2026-08-16T00:54:43.979020Z digest=sha256:b8adcb930047f3213a1d7f5c288746ea27b4c53215812d1e074a168341c70f5a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.983101Z digest=sha256:c412e7d8384154c29c766e70191e7efb36e0581e3f37a47523d5dca9b4a4de2f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.987751Z digest=sha256:9d4d2dacbb857de6007940352cb7667104887138f083292e0203edf2ce246d45

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.992967Z digest=sha256:9f5ceea70346df4db6e2b5139a9d104f200c300a24f9d53cb4daf13913b436e4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:43.996877Z digest=sha256:0c1bfd129d9b4d4e71866a38c686506a668497cdf8b9c33ad7eba1465693934a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.000770Z digest=sha256:c007e4f56b8a5828890fdb856ce332f50e72074730ad2f1c9257f1124b397030

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.005241Z digest=sha256:662d10ba7f49d71250b36bfa49e6f736ba74c1e2f27f79eb7bfafd872f070dd5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.009160Z digest=sha256:e2220567195640744592955de2a0f4660c1609fedacb9f85a10646c654cce7de

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.013246Z digest=sha256:5981698c130508ead6c924d9e583a5127ccc0b75bab49f14c8fec28b01213404

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.

source=arxiv_source observed=2026-08-16T00:54:44.017160Z digest=sha256:858b1ed3ba3ec0d96ebbd98f7863e8f08d5ed3a1986b462f956a8d8897ade51c

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:d4b8f69b621d62443005ea1e34eea6693761a82ae2fe0771a4af03b96feb18e5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.025754Z digest=sha256:43c269ae526d9bc690cc126750bfa6be583f2bc8ca0dcc3c03d888a5ddd7c11b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.030167Z digest=sha256:1cf77e109fa10404ff23107c2c9e8c7c5769c7891cba29ce818e739a7b848e48

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=sha256:4936ef404d577b6fd5e82f8bf95f0f11c834edc870ea4745d0a49baa7acfb9ec

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.038280Z digest=sha256:e4a1a0c1a656b383c618d1f33bcd3a96dd020400b50f9e6604fbd8804fa96a80

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.042205Z digest=sha256:c00e364200c0e40305501678cb4d3f86d5714c7bdc2fa406855c9807cbdfd137

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:f7259a9f71c74ef620560057a41692d932537aed33832920b29374ce9b8dac4a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.051151Z digest=sha256:7e7895f271e3f6326b08415c2379403d958b2aea6ed5c95cc8d504ea11d47dcf

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:c5a265c74211b9831492cb673536c07a8139e616e327930094a74a6f3240712e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.060472Z digest=sha256:9f03904abe4809fd8333a6c5adc3986190753421830f6bbe1447e3eecc731901

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:ab222a363f758fc5074703df0981c1c7bc244c740671c57c3dd3afa958cbbdee

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.068712Z digest=sha256:c5e42e2fac519a99102931b5934658a908d11e04154bb7b82d70c64a12111dc2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.072569Z digest=sha256:d2cf33352b8e0465f774b14ffac9e8819e99087d4b55b6a516823c793c574283

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.076494Z digest=sha256:d9b5f3ea3a5e1b2fd2bf9676312c60d49b017319fb58afadb506eff022296a99

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.081007Z digest=sha256:fc70e32032a4c0e7c54fb7967c3fe64ec5699332f8df9a0342c688d96d9459e5

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=sha256:919779410eaf50574fce9c0d64bb2203e9886cd18155fe6dabb78899cb9f0808

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.089322Z digest=sha256:3c265bf77c3c7634da756d671b5cd041cfd0666740fd72b3a204761db5823a51

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.093512Z digest=sha256:bccbe7af6e5f6dcb34e3f0c5613ac9ccb69dfbf65989770cadb6cabcaed7325f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.097587Z digest=sha256:1c5b2e93cb8e81231a43028b375f8ff3b9428e32d782d4d5795713629e3b1051

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.101764Z digest=sha256:4a44ce140228c46c1a733a25871da7a2abc3e47e682ff65c68228d1d3ceba467

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.106035Z digest=sha256:2e9a874845613d1ec184de37b13ebfcd5d4f846ec715ef8374b4e944d1b7031a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.110354Z digest=sha256:31aa019a188c7a203b1516975b6f60fb6809723fd3b71524b16b73f054858eb5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.114562Z digest=sha256:8d30b21a981484e3769af90fdfab45a51ec6bb0c9e69c9561a7919f6c102f381

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:54:44.118711Z digest=sha256:18ef1f3286678850312be475389a5577b6ae5d7c06270019492f92541290bc59

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=sha256:501e52478b85b620542096977533f201165ebbbc2f7a28f39a71b980f51e8aa4

Pith citing papers

No inbound Pith citation observations are available.