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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.

source=arxiv_source observed=2026-08-16T00:54:43.915786Z digest=sha256:ebbc9d6c70e0bd736a2662dd6c942e474a7cfa12f964a1545e689e5991149e75

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=sha256:0ec458baa252a6bac55ee986b9937b409a7738a2df8034fbd75d77a9758de3aa

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=sha256:54cdb02ac8f657d2671a71e3556eeb105f3bb04933679ce3f89293d41593cdb3

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=sha256:9ebc7571394f56c9dc07627be57a5377b6c712b96966198ed6da9f7e9ace88fb

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=sha256:33d95bb900a6c40ccb79ad64e979ce7f078f80762e9e64fd1c447268469558ef

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=sha256:61d2c9e5ed2e0b7e678867e98b8911bd15be3e40ed908b82e43be6e94161427e

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:eadd5f8da656ac2067e2541e4208abb5a660c586d739f1993e9e345471501a6d

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=sha256:7cb3b4d4c44dcfa65cb6088bbfac5daacbc4046297f790c1d5e94e618950743f

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.

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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=sha256:586c2b3873455a7ddc340bc35faf1b9a5bd5770c4c27b92719225d012799a08d

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:bb226ed12caa2ca25d23303a27d255398dec0e15bc288a9663534d8dc1dbae5f

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:aa52155c794461a4f40cec675c85c5d2c839da558139ad71422bad947bc9bceb

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=sha256:8a5890928a591506a44f15bc7ebd5f526063da2de29fbdf811b7f72be3a0e439

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=sha256:23ecff240abc79bf90a92b97c01488fe5d7fccd72607f8a02b141eafca2c010e

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=sha256:286bcedb85ea847dcf07cefd5bd8f52e77287fbc48738484574ca6a27219819d

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.

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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.

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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
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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=sha256:3c9dc92782c52a1ebaa877735026fa146a965304642d3b89fd86309932aea75e

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
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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

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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

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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=sha256:9b7bc2ab117c1fa1d110d347e077b4562f2dfe08086f19fcd94a8fdfa1efb618

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=sha256:27624247dd60178fcb336fc61a1528d0da2b1fd6156fa84e66b8128311d36265

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.

source=arxiv_source observed=2026-08-16T00:54:44.038280Z digest=sha256:1daea2f165cf38eccd95be6402f8b8a7ced590d4bd16612b385a42582a26d6dd

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.

source=arxiv_source observed=2026-08-16T00:54:44.042205Z digest=sha256:ee6463c07b8b18e840c6fc571e1438ae72dfc2ca77b8d22141d963e2ac78fc58

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:e1eeea3834dd289dc4bac6415874357fa542c520ebe83b9ca5cc166920a6293c

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:d7aa006140beb841f8ec7d55e4bb7ea3b0543cbb71639f62e3a0c4f01600ad52

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:be56d392170c54250661f4fcc106474eaf67de6d17f16446114fb2af4f3c6c2d

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=sha256:96c04cb54428095c641865039a1073386f9632791770eb3d40b21d7e2ae34059

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=sha256:58359608d5fd6c53893de734e168bf7909df8f1b107c5566dc4f97410919164e

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=sha256:635c709df5fc6d4d272b14d4794a9ce13f2510a78b0f61433a237009def88bbb

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:fe50fc73c224e5e94eea599ee7b6c464007c87d064c12bd0d3c2e38063057351

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:b4cd9ce300bf336ee384df145630b5d223ac7077fbba66c03d0329231e640400

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:b01f0c98b5593d158a8c1414bd445cac0bef799a925da75eb09c6faf0536a67b

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:dbfbcc2572246d9212d304c477385e026be52b1228b9b3ccda1b617166049a00

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:a51b2996ef0ee148aa0d1acc10a5710e14685674ddd7e00bc2378801ea4e9969

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=sha256:0277c8bb23fca99d0ea3710b5777216d95a8dc1e15e41f8ff969a15b389452dc

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=sha256:54bc11f1b147e9238b1a897e4012791c5ee78c21a02f94b32103275ee42ad295

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=sha256:6b065371b9867351900731c77499835a0df17652514dd1f35da2787f64d482ad

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:df5f99e58e53438a267e7129cd8faeecdafd4fd73e3c707b3013d51fabef512d

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=sha256:6c4ff5032474136942a678297c1039efffeeea65a84e17bcea233cf5995840b9

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=sha256:581c15c80ead2da457003681132658aacebea2a3b83ef0a162b56e3271a52df8

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:a6f8f6be175ac09f64790b550e0dd26408b6a261f37597996a08fe47a280f658

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=sha256:4f2fa325add64432c4406e737e261c3412891a1e51c13168c0bd2434249dc1f8

Pith citing papers

No inbound Pith citation observations are available.