LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements | Paper Citation Record

Observation 6bb94be8-b00c-4a14-8170-a3868e8cc64a · outbound

This paper cites Mortensen, H.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Mortensen, H

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.486304Z

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Observation 29fe2bee-f9e1-42cf-a019-5d5644201e6d · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.473304Z

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Observation d9f54026-202a-4003-af02-dfdc580a6283 · outbound

This paper cites Abad ´ ıa-Heredia, M.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Abad ´ ıa-Heredia, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.459092Z

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Observation 1a5818d5-4f36-4e89-a8d9-1907b223adfc · outbound

This paper cites A predictive physics-aware hybrid reduced order model for reacting flows.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements A predictive physics-aware hybrid reduced order model for reacting flows

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:12:25.654136Z

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Observation 17f326f3-7ecb-4ed6-a50c-5d9ac8a98609 · outbound

This paper cites Deep Learning combined with singular value decomposition to reconstruct databases in fluid dynamics.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Deep Learning combined with singular value decomposition to reconstruct databases in fluid dynamics

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:12:25.634526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3d87281-2524-4f99-923b-4d0ad062b6a4 · outbound

This paper cites Parente, J.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Parente, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.444901Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 796817c0-45fe-4fc7-8308-73ed1a1fd94c · outbound

This paper cites Scherl, B.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Scherl, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.431128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86671bd0-8a7f-4bed-9acf-22b25eb96455 · outbound

This paper cites Le Clainche, J.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Le Clainche, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.417540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 65dc042e-6464-4669-bd9e-860ef37d5498 · outbound

This paper cites Le Clainche, R.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Le Clainche, R

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.403188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74854c2f-cf7c-4901-b869-41c23fc45178 · outbound

This paper cites Corrochano, G.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Corrochano, G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.389985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ce5d232-3946-4451-b883-3bb4c15cf59a · outbound

This paper cites Forecasting through deep learning and modal decomposition in two-phase concentric jets.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Forecasting through deep learning and modal decomposition in two-phase concentric jets

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:12:25.616283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b745da89-6ad2-4263-a711-c062a91a3d11 · outbound

This paper cites Huang, T.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Huang, T

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.375585Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7ea72a2-b349-491d-b4f6-ed3a32741eed · outbound

This paper cites Mu˜ noz, H.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Mu˜ noz, H

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.362386Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1b5cef7-e435-4fdd-8f47-f3f11b350038 · outbound

This paper cites Eivazi, S.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Eivazi, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.349151Z

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Observation ef4d60a7-e106-44c6-b044-43d7d414fcba · outbound

This paper cites Soto-Valle, S.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Soto-Valle, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.335215Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd76562b-a016-41b8-8880-e64fa7ff0dba · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.321966Z

Source-reported events for the cited work

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Observation 5f2a6171-3b0f-47d6-bd7c-dc9fbd5db7a3 · outbound

This paper cites Woodward, Y.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Woodward, Y

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.309618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24332378-7db3-4c04-9a46-3f26eb5b85cd · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.297322Z

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Observation 4896d476-e382-4127-8748-b481fb4774fc · outbound

This paper cites Siano, E.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Siano, E

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.285640Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 996ecd2c-a539-4123-b44a-fec6be0b57e3 · outbound

This paper cites ModelFLOWs-app: data-driven post-processing and reduced order modelling tools.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements ModelFLOWs-app: data-driven post-processing and reduced order modelling tools

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:12:25.597599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 099b7e3c-40a5-4693-b296-c1ae9d167497 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.273415Z

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Observation 5cfadbbb-ba60-4313-8aed-3ae57d1f3ed2 · outbound

This paper cites Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:12:25.577939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 742594b5-4343-48d9-b5ff-4dd4a87c6643 · outbound

This paper cites de Silva, K.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements de Silva, K

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.259813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f3ad1cb-5094-4a7a-b728-cd827903b73c · outbound

This paper cites Arciniega-Ceballos, M.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Arciniega-Ceballos, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.246594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdb7bcac-496f-4f13-9b6e-e6d2365b417d · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.233423Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c5032b4b-61e4-427b-af66-e5977c329392 · outbound

This paper cites Umargono, J.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Umargono, J

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.220339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d19fc4b0-85fc-4fd4-981d-7beabce3f1da · outbound

This paper cites Sirovich, Turbulence and the dynamic of coherent structures, parts i–iii, Q.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Sirovich, Turbulence and the dynamic of coherent structures, parts i–iii, Q

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.206170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 281327ea-d4f8-4321-ad44-acb36b3e5049 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.192576Z

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Observation 8c80ddec-bda3-40db-956e-8123f1c9365d · outbound

This paper cites Le Clainche, D.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Le Clainche, D

Reference 29

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Source-reported events for the cited work

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Observation da6fee25-a231-4690-90d8-ba06923c0bd7 · outbound

This paper cites Parente, J.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Parente, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.179583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06f4c816-0010-4949-a099-885b0ea4f81c · outbound

This paper cites Rap´ un, F.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Rap´ un, F

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.165837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 189b78c9-8baa-48f9-bfef-7fc0858b1766 · outbound

This paper cites Manohar, B.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Manohar, B

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.153080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef1ba9a3-f4cd-46c2-a6bb-3b85ffc9fd8c · outbound

This paper cites Businger, G.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Businger, G

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.140045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c909b4a4-1059-41a3-b40b-3d42ac4d5029 · outbound

This paper cites Sommariva, M.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Sommariva, M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.126531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d7c943c7-f64e-4618-a3c6-473171eaddc6 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.112461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0fbc0de5-5707-4d09-8b39-beed6e797a0d · outbound

This paper cites Seshadri, A.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Seshadri, A

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.098662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 295bdcfd-f0f2-4acc-bc52-af07f5f22c27 · outbound

This paper cites Kuraria, N.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Kuraria, N

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.085377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0373237d-9c46-461c-8abe-e2354019ccb4 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.071884Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62dee0b9-c52e-488b-894c-caafa1ab0b7f · outbound

This paper cites Jackson, A finite-element study of the onset of vortex shedding in flow past variously shaped bodies, Journal of fluid Mechanics 182 (1987) 23–45.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Jackson, A finite-element study of the onset of vortex shedding in flow past variously shaped bodies, Journal of fluid Mechanics 182 (1987) 23–45

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.058381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7cea966-a39a-400a-9c9b-a94b0126e93a · outbound

This paper cites Barkley, R.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Barkley, R

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.044522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab6223ca-ba69-43d6-a794-d96c6d96076e · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:26.031070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e9626f5-e131-4189-aecc-e10000c8562b · outbound

This paper cites Towne, S.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Towne, S

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.017965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f17ee4c-0115-49a5-a9cd-e56671be00d5 · outbound

This paper cites Rodriguez, Development of a test section featuring a flat plate condi- tioned for the study of fully developed turbulent boundary layers using PIV, Ph.D.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Rodriguez, Development of a test section featuring a flat plate condi- tioned for the study of fully developed turbulent boundary layers using PIV, Ph.D

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:26.004698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce457e42-c34b-4b4f-8883-dd05a0574633 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.991085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efaeaf9f-5bfe-418a-95bf-9d0f29f568c1 · outbound

This paper cites Vreman, An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications, Physics of fluids 16 (2004) 3670–3681.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Vreman, An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications, Physics of fluids 16 (2004) 3670–3681

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.978120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73b72ffc-c33b-4298-afae-90f96a67812c · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.965079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8410b088-17f1-446c-a674-819a1c07886a · outbound

This paper cites Mani, Analysis and optimization of numerical sponge layers as a nonreflective boundary treatment, Journal of Computational Physics 231 (2012) 704–716.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Mani, Analysis and optimization of numerical sponge layers as a nonreflective boundary treatment, Journal of Computational Physics 231 (2012) 704–716

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.951105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72131e39-777b-4e49-82c7-8745d71e403a · outbound

This paper cites Zaman, Asymptotic spreading rate of initially compressible jets—experiment and analysis, Physics of Fluids 10 (1998) 2652–2660.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Zaman, Asymptotic spreading rate of initially compressible jets—experiment and analysis, Physics of Fluids 10 (1998) 2652–2660

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.936938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9114a95-7e59-4f84-9b64-7a897b436158 · outbound

This paper cites Zaman, Spreading characteristics of compressible jets from nozzles of various geometries, Journal of Fluid mechanics 383 (1999) 197–228.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Zaman, Spreading characteristics of compressible jets from nozzles of various geometries, Journal of Fluid mechanics 383 (1999) 197–228

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.923586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40c1f9c7-e481-4e4d-8d24-5e4d08c2289a · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.911232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26dd7783-e8ae-4914-b77d-48eb2ebe339f · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.898342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abb6b49f-65da-4330-a6d3-77af104fd6d7 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.885586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7613c6fb-4aa7-435c-9611-5db7bc49818e · outbound

This paper cites Soft- ware available at https://modelflows.github.io/modelflowsapp/ (2023).

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Soft- ware available at https://modelflows.github.io/modelflowsapp/ (2023)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.872848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d891f6e5-9cca-4382-8ec3-0cebde4e45bb · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.859094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 907aa0e6-59ce-4568-8c2f-afc024232616 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.846056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd1d8e81-26a1-44e2-84d0-36d2a894b3ee · outbound

This paper cites Low-cost singular value decomposition with optimal sensor placement.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Low-cost singular value decomposition with optimal sensor placement

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T12:12:25.460150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0efc8be-edd4-42a7-8656-3edbfcaeee17 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.832954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 560860a0-2657-426c-a4d1-3b6ffd0ebb73 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.819731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation afbb78b0-6d5e-473e-9dc7-60500af5d3b1 · outbound

This paper cites Iuliano, D.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Iuliano, D

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.806700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ffdc02a-13d3-4878-81d3-69e28b9e01c5 · outbound

This paper cites Freitag, B.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Freitag, B

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.792373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad1c028d-ef24-47ec-b1b9-6af28ad8f3e0 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.778370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a0f1f51-84b9-4715-9438-f806e4448afa · outbound

This paper cites Guemes, S.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Guemes, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.764316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51da6212-907c-4d80-b5f4-45b5752455bb · outbound

This paper cites Discetti, M.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Discetti, M

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.750548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d669710b-2fdd-4360-b74b-79040f9cacec · outbound

This paper cites Guastoni, A.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Guastoni, A

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.737009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d79ebf72-0308-44f5-829a-8fe0e1efbc71 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.723149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4abc7a97-9bef-4705-a1ca-6b52dd102a08 · outbound

This paper cites De Lathawer, B.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements De Lathawer, B

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.709812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93cfd0f8-0c6a-4149-b98e-25436b401bf3 · outbound

This paper cites De Lathawer, B.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements De Lathawer, B

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:12:25.696531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50f409c3-6852-4811-aac0-16d29725440c · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.683101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 580c4779-475f-453e-90b8-1636482a50b2 · outbound

This paper cites an unresolved cited work.

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:12:25.668485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers