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Paper Citation Record · LEDGER

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows

As of 14 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 1 inbound Pith citation observation for arXiv:2607.24569.

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

pith.paper-citation-record.v1
2607.24569 v1

Coverage vector

measured 100 of 102 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:36:46.652794Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:15:59.172708Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:15:59.213375Z

Reference resolution

100 of 102 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57040d73-0187-4c50-aa11-4b08c633b7af · outbound

This paper cites International Journal of Heat and Fluid Flow , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows International Journal of Heat and Fluid Flow , volume=

Reference 1

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source=arxiv_source observed=2026-07-31T11:36:40.970409Z digest=sha256:203a37d0c109ec71261bc94fac02db8caf09a09a77fa690a788a6a0311abd328

Observation a9f5ece8-cdba-4998-b472-0beea9b56a85 · outbound

This paper cites Communications Engineering , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Communications Engineering , volume=

Reference 2

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source=arxiv_source observed=2026-07-31T11:36:41.031519Z digest=sha256:a1d8dbb7a25b00187970c4cc980c4b1ab0073f5f24086eaade0b3b24c71a0a32

Observation a5d4e946-a9f5-4c94-83d9-ed6fe4c3dcc3 · outbound

This paper cites A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake

Reference 3

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Observation cae92708-66bc-40e0-9add-0f465aff1c53 · outbound

This paper cites AIAA Journal , pages=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows AIAA Journal , pages=

Reference 4

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source=arxiv_source observed=2026-07-31T11:36:41.190607Z digest=sha256:2daaef34e770abcee901bac760c5620a4e7ceecdc95b49544db9c6b9579dbec7

Observation eb62dda9-e5af-456b-939e-51b419f6e020 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Fluid Mechanics , volume=

Reference 5

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source=arxiv_source observed=2026-07-31T11:36:41.228714Z digest=sha256:73d5c7535b01b2deaf26dcdc9f5acee6ad18d4899af17fcdabf39506ede62b5d

Observation 1fdff622-57f2-4c4b-b45f-91334ccd54ac · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 6

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Observation 9671dfd5-a456-477a-8fd6-6768935deca7 · outbound

This paper cites arXiv preprint arXiv:2502.14819 , year=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows arXiv preprint arXiv:2502.14819 , year=

Reference 7

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source=arxiv_source observed=2026-07-31T11:36:41.307043Z digest=sha256:51a399aa2bd1eb162648cbf88c1dbc16a1d02306bb3b183cca555be0c43fd18d

Observation 4ff069b3-5cb9-44d5-b448-df84b0c246bd · outbound

This paper cites 2023 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2023 , issn =

Reference 8

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Observation 9450aa4b-e7b8-4dc1-9fdd-6fead152020c · outbound

This paper cites OpenFOAM® Journal , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows OpenFOAM® Journal , volume =

Reference 9

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Observation e8582e4e-6f76-40b9-84d4-fd800adefa07 · outbound

This paper cites Open Research Europe , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Open Research Europe , volume =

Reference 10

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Observation 702cf7b9-9b43-47f1-bcbc-1a77bddc83dc · outbound

This paper cites and Ross, James C.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Ross, James C

Reference 11

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Observation 75833f32-aad9-42c3-ad56-3942d24c90ff · outbound

This paper cites Advances in neural information processing systems , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Advances in neural information processing systems , volume=

Reference 12

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source=arxiv_source observed=2026-07-31T11:36:41.495526Z digest=sha256:85c0244efb04cf42fb13b0607f3f2bf12bacbf190a93e0fc03c5cc7efe2f3216

Observation 6fd66b95-a6dc-4d13-af81-7a06f6d70653 · outbound

This paper cites and Cornejo Maceda, G.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Cornejo Maceda, G

Reference 13

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Observation adb0c5b4-7900-48da-b3fe-614f33ef0970 · outbound

This paper cites Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control , volume=

Reference 14

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Observation ff7b9e98-75ef-47c8-979a-113afcc70f80 · outbound

This paper cites Physical Review Fluids , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physical Review Fluids , volume =

Reference 15

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Observation 20e7892a-5399-4486-9e9a-38ffbc1e40f6 · outbound

This paper cites Self-tuning model predictive control for wake flows , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Self-tuning model predictive control for wake flows , volume =

Reference 16

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Observation 6f14599e-d6be-44be-bcde-8f871296a494 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Fluid Mechanics , volume=

Reference 17

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Observation 67dad475-f5dd-4845-acaa-086fe27a0063 · outbound

This paper cites Theoretical and computational fluid dynamics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Theoretical and computational fluid dynamics , volume=

Reference 18

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Observation 6bae1d60-b258-49ad-aaaa-52c491996e2b · outbound

This paper cites 2022 , eprint=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2022 , eprint=

Reference 19

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Observation 534992b8-521b-4c20-83d8-122e036d45f7 · outbound

This paper cites Applied Mechanics Reviews , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Applied Mechanics Reviews , volume=

Reference 20

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Observation 321788f3-cfb3-45d9-b603-5cdd1aa8324b · outbound

This paper cites Physics of Fluids , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume=

Reference 21

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Observation 0b3f7fa2-6c51-4952-ae80-69f21f1fdbb9 · outbound

This paper cites Long Short-Term Memory , year=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Long Short-Term Memory , year=

Reference 22

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Observation 00e4c7a7-ae9e-4d00-9365-212964f78622 · outbound

This paper cites Advances in neural information processing systems , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Advances in neural information processing systems , volume=

Reference 23

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Observation 039af614-9e2c-4f55-a4bf-7f848e86ff3b · outbound

This paper cites Fluids , VOLUME =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Fluids , VOLUME =

Reference 24

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Observation 0060db95-6f0e-444b-8163-bacc62d06d30 · outbound

This paper cites 2021 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2021 , issn =

Reference 25

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Observation 1acdb651-8c5a-45bf-b609-7509048b299c · outbound

This paper cites Triantafyllou and George Em Karniadakis , title =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Triantafyllou and George Em Karniadakis , title =

Reference 26

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Observation e521de87-bc00-4d8b-8d93-8f59b7bc4c49 · outbound

This paper cites Nature Communications , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Nature Communications , volume =

Reference 27

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Observation b9d5730c-f6d2-4e2c-9c7b-7c2a780c550f · outbound

This paper cites Physics of Fluids , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume=

Reference 28

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Observation a5e41c37-a668-4bb3-99ad-0620d1200418 · outbound

This paper cites Closed-loop supersonic flow control with a high-speed experimental deep reinforcement learning framework , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Closed-loop supersonic flow control with a high-speed experimental deep reinforcement learning framework , volume=

Reference 29

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Observation b471b25c-80e2-4962-ba54-0dff72eac771 · outbound

This paper cites European Physical Journal E , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows European Physical Journal E , volume =

Reference 30

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Observation 9c909761-6543-481f-9538-59ce35f72a8a · outbound

This paper cites and Rabault, J.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Rabault, J

Reference 31

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Observation e4a168a6-4344-4825-bb45-0399b9467d3c · outbound

This paper cites Advances in neural information processing systems , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Advances in neural information processing systems , volume=

Reference 32

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Observation e5cab40d-c365-4a42-9201-cedd2eca9723 · outbound

This paper cites 2017 , publisher =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2017 , publisher =

Reference 33

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Observation acace4eb-8235-48a0-b39e-45737c161a3b · outbound

This paper cites and Sheplak, Mark.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Sheplak, Mark

Reference 34

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doi, observed 2026-07-31T11:41:36.695647Z

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source=arxiv_source observed=2026-07-31T11:36:42.612532Z digest=sha256:83f64536762e1faa91a1d3fc864a2aa79a48c156106a0d53f92e6a9306d75383

Observation bf2f4585-eed4-4031-9269-a14ccc66e90b · outbound

This paper cites SYNTHETIC JETS.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows SYNTHETIC JETS

Reference 35

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Observation 6838bdd1-0b42-48a5-9598-452ef91bd68e · outbound

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The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2000 , issn =

Reference 36

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Observation e2609065-d2f4-4aa9-a429-b10b9885fde0 · outbound

This paper cites and Noack, Bernd R.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Noack, Bernd R

Reference 37

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Observation c3fbac8e-46e0-465a-a1a8-6c1944d170a7 · outbound

This paper cites Experiments in fluids , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Experiments in fluids , volume=

Reference 38

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source=arxiv_source observed=2026-07-31T11:36:42.798723Z digest=sha256:46fd6e4ec06ac7c7f7e19f767a12a87c1fb7213a4532792c8186b6aab173b244

Observation 23260c31-8aca-433b-addb-828591e73d7e · outbound

This paper cites Journal of Wind Engineering and Industrial Aerodynamics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Wind Engineering and Industrial Aerodynamics , volume=

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source=arxiv_source observed=2026-07-31T11:36:42.842038Z digest=sha256:644429bea25189aea9770a672ad2de147eacbe2eda18edbe6b01ddc2d545ba27

Observation 37880b19-94c2-47aa-a07f-c8d4552747b6 · outbound

This paper cites Fluids , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Fluids , volume=

Reference 40

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source=arxiv_source observed=2026-07-31T11:36:42.873785Z digest=sha256:23e1af6ccecc664a4fae7f97d0dbcb839d97bcffcda897199e765d9d1a968ffa

Observation a1bd3ae2-c8ff-414a-a510-8b62fa57d229 · outbound

This paper cites Physics of Fluids , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume=

Reference 41

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source=arxiv_source observed=2026-07-31T11:36:42.932010Z digest=sha256:86975b78b252c5558d7dad82308d6e62048c6cd6218cad503c6caffc61772708

Observation 62ac0936-b290-44a9-b631-595d5820a7c3 · outbound

This paper cites Physics of Fluids , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume=

Reference 42

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no resolver link, observed 2026-07-31T11:36:42.979384Z

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source=arxiv_source observed=2026-07-31T11:36:42.979384Z digest=sha256:dfd7bc3f54ebe10909ea731e57d7a37b484c49ea81c8189d692c0faa12cbfe6e

Observation 00592d14-a454-4c54-933d-34de9a0662ba · outbound

This paper cites Journal of Fluid Mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Fluid Mechanics , volume=

Reference 43

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no resolver link, observed 2026-07-31T11:36:43.027460Z

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source=arxiv_source observed=2026-07-31T11:36:43.027460Z digest=sha256:817317c589f26af4ca05c0ff53896238ac321842dd536750d434190243151184

Observation a3be1757-3d65-4637-9587-03cdd8b00750 · outbound

This paper cites Nature Communications , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Nature Communications , volume=

Reference 44

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source=arxiv_source observed=2026-07-31T11:36:43.100544Z digest=sha256:8d24728d8a5ccdcefa26fed5fb1da5ee3d00fa2c4938279311075e12676e1f7c

Observation f3767210-7d2f-4884-ad3a-d45bc6471dfd · outbound

This paper cites Theoretical and Computational Fluid Dynamics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Theoretical and Computational Fluid Dynamics , volume=

Reference 45

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no resolver link, observed 2026-07-31T11:36:43.169244Z

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source=arxiv_source observed=2026-07-31T11:36:43.169244Z digest=sha256:9ffde5226c553caba48251799d5642fccb6e4dc424c31d03ba5c441cd2cef483

Observation acb12874-7f1b-44d6-96c6-d30847008080 · outbound

This paper cites Journal of fluid mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of fluid mechanics , volume=

Reference 46

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no resolver link, observed 2026-07-31T11:36:43.247213Z

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source=arxiv_source observed=2026-07-31T11:36:43.247213Z digest=sha256:b51396da78119dfa9a4ac2180d48bbf3e000e601c0254a52205ee833665ca0d7

Observation 63ee932f-fe59-47f7-a8bc-396565852bb0 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Proceedings of the national academy of sciences , volume=

Reference 47

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no resolver link, observed 2026-07-31T11:36:43.387114Z

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source=arxiv_source observed=2026-07-31T11:36:43.387114Z digest=sha256:f2c97de446ac3079069f73238ceb0f58eb3f804a734c602f507591730c441313

Observation 7167d497-c48b-4a5f-8f2e-fc2f50476c85 · outbound

This paper cites Proceedings of the Royal Society A , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Proceedings of the Royal Society A , volume=

Reference 48

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no resolver link, observed 2026-07-31T11:36:43.443328Z

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source=arxiv_source observed=2026-07-31T11:36:43.443328Z digest=sha256:359b82d82f54ef74c6bc5ca83481da96789d8420a5101689720e8335852ccff5

Observation c583d3bd-3d2d-4b9d-a2fd-01c3b3d8a355 · outbound

This paper cites Nature Communications , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Nature Communications , volume=

Reference 49

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no resolver link, observed 2026-07-31T11:36:43.511463Z

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source=arxiv_source observed=2026-07-31T11:36:43.511463Z digest=sha256:9b2e1a73466edf31bad212738de723320ca5ebf9ea3d627a4126545075833ca3

Observation 7d6fb897-07fe-4543-84bd-0b6221d65435 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Advances in Neural Information Processing Systems , volume=

Reference 50

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no resolver link, observed 2026-07-31T11:36:43.589248Z

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source=arxiv_source observed=2026-07-31T11:36:43.589248Z digest=sha256:674068560ef12fd8fb3d0b6061799b015d5af4115e10e827970f43b9e27b69de

Observation 28e2c211-fd57-4154-b589-4ba9a961dbb6 · outbound

This paper cites 2026 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2026 , issn =

Reference 51

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no resolver link, observed 2026-07-31T11:36:43.672892Z

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source=arxiv_source observed=2026-07-31T11:36:43.672892Z digest=sha256:5496f6c4ea8e2a1eef7d7701112e72351741b3f38855945b7d918a6c84272d1a

Observation e58fb5fe-68df-4f45-b0fc-a3db26ed4e46 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Fluid Mechanics , volume=

Reference 52

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no resolver link, observed 2026-07-31T11:36:43.717086Z

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source=arxiv_source observed=2026-07-31T11:36:43.717086Z digest=sha256:7bbb18f4d2f131baa104d381f86f637e262582d74619fa8e873116ed6e9f0085

Observation 26b5e623-a73a-4142-a357-77062944b9a3 · outbound

This paper cites an unresolved cited work.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-07-31T11:36:43.772331Z digest=sha256:ab614823b19834be501e75e7a3e8495878108338be50e99034087438b2d93747

Observation 0d0e08be-288c-47c3-a16e-8ad46dc22f56 · outbound

This paper cites International Journal of Heat and Fluid Flow , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows International Journal of Heat and Fluid Flow , volume=

Reference 54

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no resolver link, observed 2026-07-31T11:36:43.807156Z

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source=arxiv_source observed=2026-07-31T11:36:43.807156Z digest=sha256:275a7f73e2ed7aaa3a532bcebe3f3c16b731a0b55b4c0fe5fcaf6ff7e3d675db

Observation 944fed73-99ca-467b-8a1b-1b37a4abcbc7 · outbound

This paper cites Nature Communications , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Nature Communications , volume=

Reference 55

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source=arxiv_source observed=2026-07-31T11:36:43.855347Z digest=sha256:9c0f4239ced34f0725d272ae8d31238165d110b3f637f901e126de85aa7345d8

Observation 91c0ab29-a21f-4de1-9de3-644d84537567 · outbound

This paper cites doi:10.1088/1873-7005/ade8a2 , year =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows doi:10.1088/1873-7005/ade8a2 , year =

Reference 56

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source=arxiv_source observed=2026-07-31T11:36:43.899498Z digest=sha256:6785030d46fc7b9e3eaeaf163d75dbb04948237a25f7812327ea63c647fc0a33

Observation 6168037d-412d-4e18-b714-a330f3af028c · outbound

This paper cites AIAA Journal , year=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows AIAA Journal , year=

Reference 57

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no resolver link, observed 2026-07-31T11:36:44.028659Z

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source=arxiv_source observed=2026-07-31T11:36:44.028659Z digest=sha256:79a46730a203f3cdd0d7e69074829280260b4d846bd9dfbc33d2195e34d4d7e0

Observation 22f36dc0-a6f4-497c-9147-3fa41344b409 · outbound

This paper cites AIAA Journal , pages=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows AIAA Journal , pages=

Reference 58

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source=arxiv_source observed=2026-07-31T11:36:44.074890Z digest=sha256:598cf1feb8e35471d7994f35846e7596154d511dfc4ecbe688ae4707c54ad1cb

Observation dee0d54c-422f-4f1b-a49d-b0753e4a2f34 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Fluid Mechanics , volume=

Reference 59

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no resolver link, observed 2026-07-31T11:36:44.119957Z

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source=arxiv_source observed=2026-07-31T11:36:44.119957Z digest=sha256:625a65f797bc815cf52de50c2880a8d0d2c24636be30dc6e6293bdf7fab1c062

Observation 0b6d56f3-b835-49b2-b5c2-1d9e99e0a598 · outbound

This paper cites arXiv preprint arXiv:2506.12777 , year=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows arXiv preprint arXiv:2506.12777 , year=

Reference 60

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source=arxiv_source observed=2026-07-31T11:36:44.171256Z digest=sha256:e8b99185ac73eb49b1f8a5aae817081e46aa2efbbb30f8d0bf0144de9cd492f9

Observation ae122979-91d0-49cc-a8fb-173414db8254 · outbound

This paper cites 2001 , publisher=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2001 , publisher=

Reference 61

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source=arxiv_source observed=2026-07-31T11:36:44.220931Z digest=sha256:9ddd788042ce3880abbd055d1a8c6c9003960b9b4382a16fbdc8ecabcbf1bf8d

Observation 1388734b-a373-4d4b-96d9-a23b0603a515 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Advances in Neural Information Processing Systems , volume=

Reference 62

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source=arxiv_source observed=2026-07-31T11:36:44.275738Z digest=sha256:19334e9a4fa33553161ef02d4d1ba46549d04417764eb436673513a2d8b04e24

Observation 4a24deae-0d90-4028-baf8-3cd456a695e1 · outbound

This paper cites International conference on machine learning , pages=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows International conference on machine learning , pages=

Reference 63

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source=arxiv_source observed=2026-07-31T11:36:44.339897Z digest=sha256:d8fc9fe1aa28b957faaf5f5dc6fe7c34c2004a0b37f00cc564a9ac6b71896179

Observation 94f67470-2a5a-47ca-8900-de653b4fc6d3 · outbound

This paper cites International Journal of Control, Automation and Systems , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows International Journal of Control, Automation and Systems , volume=

Reference 64

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source=arxiv_source observed=2026-07-31T11:36:44.381239Z digest=sha256:13c7fcbe9bc129c80a3c259a437196f1eeb6db0cb6f6f8cef89671827a771f68

Observation 60bc5834-abea-4c2a-bb9a-09edc0815632 · outbound

This paper cites Camacho and Carlos Bordons , title =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Camacho and Carlos Bordons , title =

Reference 65

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source=arxiv_source observed=2026-07-31T11:36:44.433494Z digest=sha256:4e37556f054f22cc41d6429501b00fdb481db2d0fc6274d886c5e7afe9856183

Observation d0a0d8bb-d189-47c1-a0f6-fca58699119f · outbound

This paper cites IEEE Access , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows IEEE Access , volume =

Reference 66

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source=arxiv_source observed=2026-07-31T11:36:44.466513Z digest=sha256:66736def1951a90747b7aae6655ee5d6020b549aef4c848ed3b94e2887b570d8

Observation 6f230c54-53f2-4987-854a-abb10ce1e2f2 · outbound

This paper cites and Morzyński, Marek and Pastur, Luc R.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Morzyński, Marek and Pastur, Luc R

Reference 67

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doi, observed 2026-07-31T11:41:36.336481Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T11:36:44.545448Z digest=sha256:5329f3bcd780cb504bb1d087a2ee6233b8612c0b997f522b5793c89a9c268fa1

Observation 1e38a817-0545-4b32-85be-32e425ccba55 · outbound

This paper cites 2025 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2025 , issn =

Reference 68

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source=arxiv_source observed=2026-07-31T11:36:44.576012Z digest=sha256:6317bebdaba8d5faa9d380e0ff169b2e9aad2ff99e984df9dbcd60b8d9a5b891

Observation c67417d9-2864-4d0d-b5a8-363c66faa0e7 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 69

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source=arxiv_source observed=2026-07-31T11:36:44.625498Z digest=sha256:5406250bc7d361e75d0ce94d788c21f8bdc89e47b07beeee66d51841161ec742

Observation b45a2457-2aef-4e3b-8d88-9ef44e32e9fc · outbound

This paper cites an unresolved cited work.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-07-31T11:36:44.693520Z digest=sha256:2b1601d3c2411f6b5db45c05908c2b08aadbde796f49f58977937d656c618599

Observation b4f10bda-fd92-490f-9f68-a85caaacbd98 · outbound

This paper cites and Bottou, L.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Bottou, L

Reference 71

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source=arxiv_source observed=2026-07-31T11:36:44.728216Z digest=sha256:5295a11f9bb21ca794eca51db43e14013923ad263719b3fd5ee44a888da699f6

Observation e5f01a3a-4e71-4114-87b2-d4e7b226df69 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Adam: A Method for Stochastic Optimization

Reference 72

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no resolver link, observed 2026-07-31T11:36:44.766992Z

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source=arxiv_source observed=2026-07-31T11:36:44.766992Z digest=sha256:1a15b799142d59e276e79e0566ce7071334ebd121b5110e4e443ee7c851637ad

Observation e74c5f3a-1d9b-4fff-b250-ce09be4afb96 · outbound

This paper cites Turbulence and the dynamics of coherent structures.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Turbulence and the dynamics of coherent structures

Reference 73

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source=arxiv_source observed=2026-07-31T11:36:44.807852Z digest=sha256:037451dffa10ddaef62272eff2e70ec6708e8a28cfe990c91ce0f8d3f2b47dd9

Observation 40d5ecff-4ab9-40a3-9106-53613f6da999 · outbound

This paper cites Journal of Computational Design and Engineering , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Computational Design and Engineering , volume =

Reference 74

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source=arxiv_source observed=2026-07-31T11:36:44.881611Z digest=sha256:b381242bdad49ea1ef816600143e8cceb1d4c12b4ac4d8c31781622fbbf35368

Observation a38bf79e-4ac1-41b5-915e-c401fee3a2a9 · outbound

This paper cites Physics of Fluids , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume =

Reference 75

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source=arxiv_source observed=2026-07-31T11:36:44.938698Z digest=sha256:c8a9c4408ea3d7167ac4b1cf85c9944d2d010db8f491f57bab595bd32a6918a0

Observation 0fe7aa5e-6415-46a0-b716-faa6a4185861 · outbound

This paper cites 2022 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2022 , issn =

Reference 76

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source=arxiv_source observed=2026-07-31T11:36:45.014014Z digest=sha256:ed02d0852781b2fcce65479a2e79016417a14f211203ccfc85d2db60773f4342

Observation 23c0a23d-927f-42b5-8ba3-cdc19529daa7 · outbound

This paper cites 2016 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2016 , issn =

Reference 77

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doi, observed 2026-07-31T11:41:36.114745Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-31T11:36:45.056242Z digest=sha256:7261aeb3cf637d6b4cfae6ff1a4c05f945f35dd1be85f767d3cb3790c20256b7

Observation f26f562c-6dc9-41d1-9700-f3494fb51edf · outbound

This paper cites Physics of Fluids , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume =

Reference 78

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source=arxiv_source observed=2026-07-31T11:36:45.109205Z digest=sha256:a502d3667382953d7bcd617933afd5f01f53a0e5430b889de34e6311b683acd6

Observation 4ffddce5-8a8d-4013-9322-f5cc58ba0bcd · outbound

This paper cites Nonlinear mode decomposition with convolutional neural networks for fluid dynamics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Nonlinear mode decomposition with convolutional neural networks for fluid dynamics , volume=

Reference 79

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Observation 35177a3e-2de4-4f77-aa7d-40aea0c3a3db · outbound

This paper cites Physics of Fluids , volume =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Physics of Fluids , volume =

Reference 80

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no resolver link, observed 2026-07-31T11:36:45.242805Z

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Observation 718f755f-ab38-4a93-822e-4ae6be7d80e9 · outbound

This paper cites an unresolved cited work.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Unresolved cited work

Reference 81

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no resolver link, observed 2026-07-31T11:36:45.306243Z

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Observation fc341898-6adc-46e0-869f-12b30afc8f75 · outbound

This paper cites Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , year =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences , year =

Reference 82

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no resolver link, observed 2026-07-31T11:36:45.370241Z

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source=arxiv_source observed=2026-07-31T11:36:45.370241Z digest=sha256:cca0919c2472d9b06ea45463d04047bb8b72c8a65cf4ddb1a2e5832b1bc473c0

Observation 9a113475-dd0b-47e2-88cd-0a69868dbc7a · outbound

This paper cites Nathan and Brunton, Steven L.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Nathan and Brunton, Steven L

Reference 83

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no resolver link, observed 2026-07-31T11:36:45.441771Z

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source=arxiv_source observed=2026-07-31T11:36:45.441771Z digest=sha256:60afc55585f18c5dfeea86cb719ee28a6f498c007372da82b7952d92af814a7a

Observation 92252cb1-5f25-4379-a6bc-9a0c5dadf784 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , year =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Computer Methods in Applied Mechanics and Engineering , year =

Reference 84

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no resolver link, observed 2026-07-31T11:36:45.504394Z

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source=arxiv_source observed=2026-07-31T11:36:45.504394Z digest=sha256:d1dd6f2bde9a5f2e20591912c6ef85db035543b507e4ade5fcb0fb4517c7d78b

Observation 0d58ff28-b7b9-4ad5-875b-76f3a70b38f4 · outbound

This paper cites and Afanasiev, Konstantin and Morzy.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Afanasiev, Konstantin and Morzy

Reference 85

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no resolver link, observed 2026-07-31T11:36:45.566994Z

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Observation eaaebdb8-2b60-4a43-b365-3111fd6a3512 · outbound

This paper cites and Girvan, Michelle and Ott, Edward , title =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Girvan, Michelle and Ott, Edward , title =

Reference 86

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no resolver link, observed 2026-07-31T11:36:45.672272Z

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Observation a70145fa-e181-48e8-91a7-6c42e0d59b1a · outbound

This paper cites and Sapsis, Themistoklis P.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Sapsis, Themistoklis P

Reference 87

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source=arxiv_source observed=2026-07-31T11:36:45.723248Z digest=sha256:2eec0d6ade8fe4e649ae1ec950421433c0275e5b460d8bffb4a7bf0d6ad383c0

Observation 53915297-1099-4b82-a487-a5dbe791f13c · outbound

This paper cites 1993 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 1993 , issn =

Reference 88

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no resolver link, observed 2026-07-31T11:36:45.765686Z

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source=arxiv_source observed=2026-07-31T11:36:45.765686Z digest=sha256:0fd6a775fb5b0b9e40d729505eea3224f78b2ed874a6d0fe1ec5455c0871286e

Observation 9595287c-f2d8-4c53-ab41-5d8398ecef41 · outbound

This paper cites Journal of fluid mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of fluid mechanics , volume=

Reference 89

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source=arxiv_source observed=2026-07-31T11:36:45.831145Z digest=sha256:a70f4b791eabf000e1e48e9c1e63351d70a4478d4beaafa74c5a7838065234b2

Observation da7b3aed-e013-49cd-a1f1-59c3c6f184fc · outbound

This paper cites Analysis of fluid flows via spectral properties of the Koopman operator.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Analysis of fluid flows via spectral properties of the Koopman operator

Reference 90

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source=arxiv_source observed=2026-07-31T11:36:45.972667Z digest=sha256:809432dbf9086a9cd648ed5598833b3310ade511f506bb6a6093bcd70ad2c637

Observation 149a4295-f3a2-44cb-8fcd-568c17b7eb89 · outbound

This paper cites and Dawson, Scott T.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Dawson, Scott T

Reference 91

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source=arxiv_source observed=2026-07-31T11:36:46.100604Z digest=sha256:235bf83dc9b4d3b8ea87576549663d104ce87c3b6c8e1cc52a657732e41473c0

Observation 0a11ca2a-47bb-4436-97d2-eee689c213ce · outbound

This paper cites and Budi.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows and Budi

Reference 92

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source=arxiv_source observed=2026-07-31T11:36:46.154463Z digest=sha256:a6fda80cf850da493967cb5f982f62e497c74f2b015e08585a07a99411d26bb1

Observation 7839f50f-1072-41b5-987e-8814c0cfd107 · outbound

This paper cites 2018 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2018 , issn =

Reference 93

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source=arxiv_source observed=2026-07-31T11:36:46.215068Z digest=sha256:e492da0d54fa265c0c5e838dd33a1a586e7b8e03fe2192229edca21409722f4b

Observation 511d207c-81bb-42e9-95de-26fcf5e4b91c · outbound

This paper cites 2021 , publisher=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2021 , publisher=

Reference 94

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source=arxiv_source observed=2026-07-31T11:36:46.282391Z digest=sha256:2334c5ff3324f1746e64e5cf9b48b6c8ae9e110c369522dd5d5fe067be1a8722

Observation 34b3863a-f9ac-4744-83d0-e719612379ba · outbound

This paper cites 2022 , issn =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2022 , issn =

Reference 95

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source=arxiv_source observed=2026-07-31T11:36:46.332368Z digest=sha256:897b34c1fb12bbe188d1e229fd5746bd204c5e5e870c46c8c9997683ba2f5131

Observation 060fb73a-aade-4518-9959-d424b55390f6 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Journal of Fluid Mechanics , volume=

Reference 96

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source=arxiv_source observed=2026-07-31T11:36:46.382405Z digest=sha256:84e6d788de690d973a2c87ee274c2e2a16b51c28bb3a63a2cd998b5708063265

Observation d68059a7-cbeb-4106-9741-aece698abf77 · outbound

This paper cites 2016 , publisher=.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2016 , publisher=

Reference 97

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source=arxiv_source observed=2026-07-31T11:36:46.425440Z digest=sha256:0b6aa90697516a4815353efc865f07d08ebd897c85ccc527f08806fe91536ff3

Observation 20b85026-27d2-457b-b751-ae2668080dc5 · outbound

This paper cites Acta Mathematica , number =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows Acta Mathematica , number =

Reference 98

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source=arxiv_source observed=2026-07-31T11:36:46.484602Z digest=sha256:c4ffebbd6d903a98b828dc31adc68e2837f1a1ac1b51c41316d2f769fe28be72

Observation 24440c09-4106-4fd6-b38f-548f851eaa40 · outbound

This paper cites The need for a pressure-term representation in empirical.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows The need for a pressure-term representation in empirical

Reference 99

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source=arxiv_source observed=2026-07-31T11:36:46.600361Z digest=sha256:5e43527c2a2595ae6632e98a6c6150127ae9ca951ffa8580dc5ec21afec49b9d

Observation 46f436a9-7485-4d30-930f-70bf8311647e · outbound

This paper cites 2025 , month =.

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows 2025 , month =

Reference 100

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verified exact
doi, observed 2026-07-31T11:41:35.785444Z

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source=arxiv_source observed=2026-07-31T11:36:46.652794Z digest=sha256:9e840b93f45b11e9ce2cb8f3b63e52a6faa6caece0bb41b4e7aac981fddc51a6

Pith citing papers

Observation 0624aab1-08bd-4aaf-a7ef-043e9a0677b2 · inbound

Autoregressive rollout error in latent-space reduced-order models of bluff-body wakes is accumulated phase drift cites this paper.

Autoregressive rollout error in latent-space reduced-order models of bluff-body wakes is accumulated phase drift The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows

Reference 38

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local_arxiv, observed 2026-08-10T13:15:59.219030Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T13:15:59.172708Z digest=sha256:197dd12537b25b75ad1858c9a645651990a7d54778d29a78f44368c3f69899d9