Paper Citation Record · LEDGER

Tensor-based empirical interpolation method and its application in model reduction

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2410.21770.

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

pith.paper-citation-record.v1
2410.21770 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T19:38:36.206036Z

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One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T19:38:36.206036Z

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

Source: pith, observed 2026-05-23T19:43:23.912148Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 64a60185-eb6d-4cce-bf6c-c6641c684dcd · outbound

This paper cites Approximation of Large-Scale Dynamical Sy stems.

Tensor-based empirical interpolation method and its application in model reduction Approximation of Large-Scale Dynamical Sy stems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.602911Z

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Observation 557dc9f2-4818-4205-a62b-5210a860ca60 · outbound

This paper cites & Javaid, N.

Tensor-based empirical interpolation method and its application in model reduction & Javaid, N

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.692375Z

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Observation 923f8bf5-50f6-47d7-b603-e60c9fda7f56 · outbound

This paper cites & Tindall, M.

Tensor-based empirical interpolation method and its application in model reduction & Tindall, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.677205Z

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Observation 7829f7cd-1a77-4b39-8e1f-617be72062a3 · outbound

This paper cites Krylov subspace techniques for reduced-order mo deling of large-scale dynamical systems.

Tensor-based empirical interpolation method and its application in model reduction Krylov subspace techniques for reduced-order mo deling of large-scale dynamical systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.660273Z

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Observation b6bf88bb-f52a-4347-abab-d3a3fecb353d · outbound

This paper cites Model reduction methods based on Krylov subsp aces.

Tensor-based empirical interpolation method and its application in model reduction Model reduction methods based on Krylov subsp aces

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.634914Z

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Observation 630c0b1f-dd4e-474e-b26e-7762bfb3d274 · outbound

This paper cites & Roberts, R.

Tensor-based empirical interpolation method and its application in model reduction & Roberts, R

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.650275Z

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Observation 71a0469f-acf2-44fe-aaf1-b8cd69a82ed9 · outbound

This paper cites Principal component analysis in linear system s: Controllability, observability, and model reduction.

Tensor-based empirical interpolation method and its application in model reduction Principal component analysis in linear system s: Controllability, observability, and model reduction

Reference 7

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Observation 74a9cd7e-03ca-4346-ab7e-23899c62f6cc · outbound

This paper cites The structure of inhomogeneous turbulent ﬂow s.

Tensor-based empirical interpolation method and its application in model reduction The structure of inhomogeneous turbulent ﬂow s

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.670793Z

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Observation 0103923a-05bb-45c4-90e5-004bce29925a · outbound

This paper cites Analysis of a complex of statistical varia bles into principal components.

Tensor-based empirical interpolation method and its application in model reduction Analysis of a complex of statistical varia bles into principal components

Reference 9

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Observation 9956f1f0-0e76-412c-b616-ae931cff5ae6 · outbound

This paper cites Nonlinear model reduction for uncertaint y quantiﬁcation in large-scale inverse problems: application to nonlinear convection-diffusion-reaction equation.

Tensor-based empirical interpolation method and its application in model reduction Nonlinear model reduction for uncertaint y quantiﬁcation in large-scale inverse problems: application to nonlinear convection-diffusion-reaction equation

Reference 10

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Observation 0cc55f14-d90f-4769-96d0-31a231b06f30 · outbound

This paper cites & Amsallem, D.

Tensor-based empirical interpolation method and its application in model reduction & Amsallem, D

Reference 11

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Observation e3f28f60-67a4-4ad8-8c06-a78f412992b1 · outbound

This paper cites & Sirovich, L.

Tensor-based empirical interpolation method and its application in model reduction & Sirovich, L

Reference 12

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Observation a0267b75-db66-4eff-9d32-cfee489e40d5 · outbound

This paper cites & Backx, T.

Tensor-based empirical interpolation method and its application in model reduction & Backx, T

Reference 13

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Observation 132852b4-e886-4590-ba9d-2f89536f7db0 · outbound

This paper cites & Maday, Y.

Tensor-based empirical interpolation method and its application in model reduction & Maday, Y

Reference 14

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Observation 8fb1961f-8f4f-4f9d-9ccb-a46a35f7fc39 · outbound

This paper cites & Sorensen, D.

Tensor-based empirical interpolation method and its application in model reduction & Sorensen, D

Reference 15

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Source-reported events for the cited work

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Observation 67464d40-f960-42c8-bccd-062f1f8e4109 · outbound

This paper cites & Jadbabaie, A.

Tensor-based empirical interpolation method and its application in model reduction & Jadbabaie, A

Reference 16

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Observation cf41cda4-752a-46b5-9960-a1733ca58c78 · outbound

This paper cites & Gugercin, S.

Tensor-based empirical interpolation method and its application in model reduction & Gugercin, S

Reference 17

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Observation c38a4a27-b7e0-40c7-8ab4-c4d395064cde · outbound

This paper cites & Bungartz, H.

Tensor-based empirical interpolation method and its application in model reduction & Bungartz, H

Reference 18

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Observation cc1d7057-10af-4139-9b3f-106e4f3eb131 · outbound

This paper cites & Amsallem, D.

Tensor-based empirical interpolation method and its application in model reduction & Amsallem, D

Reference 19

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Observation aab5181e-27fb-4b50-82cf-059952e46374 · outbound

This paper cites Model reduction for transport-domin ated problems via online adaptive bases and adaptive sam- pling.

Tensor-based empirical interpolation method and its application in model reduction Model reduction for transport-domin ated problems via online adaptive bases and adaptive sam- pling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.618283Z

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Observation f91bf8a8-7f5c-4800-a93d-aa6e701d67c1 · outbound

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Tensor-based empirical interpolation method and its application in model reduction & Willcox, K

Reference 21

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Observation dd5f6a45-8450-4324-9a8c-b07a2537b806 · outbound

This paper cites & Stewart, W.

Tensor-based empirical interpolation method and its application in model reduction & Stewart, W

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.614918Z

Source-reported events for the cited work

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Observation b3432a07-6acc-4749-b20c-5e72fdcd987c · outbound

This paper cites Radhakrishna Rao Estimation of Heteroscedastic V ar iances in Linear Models.

Tensor-based empirical interpolation method and its application in model reduction Radhakrishna Rao Estimation of Heteroscedastic V ar iances in Linear Models

Reference 23

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Observation 493f72c7-d770-4054-8b30-cec744b7326b · outbound

This paper cites & Kiliçman, A.

Tensor-based empirical interpolation method and its application in model reduction & Kiliçman, A

Reference 24

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Observation dff7f996-db80-4638-8ffd-6dfbb6eaf963 · outbound

This paper cites & Patera, A.

Tensor-based empirical interpolation method and its application in model reduction & Patera, A

Reference 25

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Observation a583b254-547b-4ee3-bc8b-2ce3d7d6b74b · outbound

This paper cites & Gü ˘gercin, S.

Tensor-based empirical interpolation method and its application in model reduction & Gü ˘gercin, S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.549952Z

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Observation b30fa74e-054a-4bec-bc6f-51f0e3b08b64 · outbound

This paper cites & Willcox, K.

Tensor-based empirical interpolation method and its application in model reduction & Willcox, K

Reference 27

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Observation cb80e705-4a88-414d-a27a-153b18a40671 · outbound

This paper cites & Gugercin, S.

Tensor-based empirical interpolation method and its application in model reduction & Gugercin, S

Reference 28

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Observation ab1bc2dd-200c-4681-aaf8-c44c4522a7f6 · outbound

This paper cites Randomized discrete empirical interpolat ion method for nonlinear model reduction.

Tensor-based empirical interpolation method and its application in model reduction Randomized discrete empirical interpolat ion method for nonlinear model reduction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.546937Z

Source-reported events for the cited work

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Observation 95cec3de-578a-4fb9-9759-bbc685457895 · outbound

This paper cites Model order reduction using the discrete emp irical interpolation method.

Tensor-based empirical interpolation method and its application in model reduction Model order reduction using the discrete emp irical interpolation method

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.554064Z

Source-reported events for the cited work

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Observation f1d06d12-081a-4239-8e39-dcd1f0714cf1 · outbound

This paper cites & Weiland, S.

Tensor-based empirical interpolation method and its application in model reduction & Weiland, S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.593628Z

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Observation a653a23c-5df3-4d98-a785-b5a2701ec159 · outbound

This paper cites Signal processing based on multilinea r algebra.

Tensor-based empirical interpolation method and its application in model reduction Signal processing based on multilinea r algebra

Reference 32

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Observation 35927f48-485d-4d0a-ad17-a78681b08cf0 · outbound

This paper cites & Pitsianis, N.

Tensor-based empirical interpolation method and its application in model reduction & Pitsianis, N

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.562904Z

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Observation ea4d423c-533b-4e3b-a25b-cf445754d09d · outbound

This paper cites Introductory functional analysis with ap plications.

Tensor-based empirical interpolation method and its application in model reduction Introductory functional analysis with ap plications

Reference 34

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Observation 1418356d-ffc9-4747-a2db-b51caa48c2b7 · outbound

This paper cites & Y oungson, M.

Tensor-based empirical interpolation method and its application in model reduction & Y oungson, M

Reference 35

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Observation 00568aac-3191-46c7-b17e-905ea71f0647 · outbound

This paper cites & V andenberghe, L.

Tensor-based empirical interpolation method and its application in model reduction & V andenberghe, L

Reference 36

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Observation 1795de9c-5db3-4afd-ad18-f963b907530d · outbound

This paper cites & Scholz, L.

Tensor-based empirical interpolation method and its application in model reduction & Scholz, L

Reference 37

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Observation f08018dc-6422-45a4-9d1d-1fbb4a4de7ba · outbound

This paper cites & Simoncini, V.

Tensor-based empirical interpolation method and its application in model reduction & Simoncini, V

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.695413Z

Source-reported events for the cited work

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Observation 76d0563a-3e56-4de9-9149-9bc07ec39592 · outbound

This paper cites & Dawson, S.

Tensor-based empirical interpolation method and its application in model reduction & Dawson, S

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.689142Z

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Observation c8f4115c-18e7-43fd-a10e-06c2ab40a42f · outbound

This paper cites & Haasdonk, B.

Tensor-based empirical interpolation method and its application in model reduction & Haasdonk, B

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.574041Z

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Observation efef139d-d100-48c2-83e4-6b2637275fa5 · outbound

This paper cites Model reduction of nonlinear mechanical s ystems via optimal projection and tensor approximation.

Tensor-based empirical interpolation method and its application in model reduction Model reduction of nonlinear mechanical s ystems via optimal projection and tensor approximation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.577279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a92069e9-3b7e-4975-9360-24ae60f5fc8a · outbound

This paper cites & Bader, B.

Tensor-based empirical interpolation method and its application in model reduction & Bader, B

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.583546Z

Source-reported events for the cited work

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Observation e92548b6-da8c-4cc4-b481-06686cfaf952 · outbound

This paper cites Multilinear POD-DEIM model reduction for 2 D and 3D semilinear systems of differential equations.

Tensor-based empirical interpolation method and its application in model reduction Multilinear POD-DEIM model reduction for 2 D and 3D semilinear systems of differential equations

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.569802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e987d53-f9b3-4d5a-a0b9-35011045b887 · outbound

This paper cites & Huynh, K.

Tensor-based empirical interpolation method and its application in model reduction & Huynh, K

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.557044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91b3ce6c-6961-426e-ae7d-f4e99c82b2ca · outbound

This paper cites & Willcox, K.

Tensor-based empirical interpolation method and its application in model reduction & Willcox, K

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.559952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1791e474-7ea2-4eda-9700-acfc044d9d5b · outbound

This paper cites Data-scarce surrogate modeling of shock-induced pore collapse process.

Tensor-based empirical interpolation method and its application in model reduction Data-scarce surrogate modeling of shock-induced pore collapse process

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.920474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f661ee24-d82a-4561-b9cc-e4bd85bc1a88 · outbound

This paper cites & Y oon , H.

Tensor-based empirical interpolation method and its application in model reduction & Y oon , H

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.566705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b664c316-3f97-4605-9096-c9d41b60022c · outbound

This paper cites & Patera, A.

Tensor-based empirical interpolation method and its application in model reduction & Patera, A

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.586639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96f776a4-4f44-4b2d-9818-680cc01a11d8 · outbound

This paper cites S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models.

Tensor-based empirical interpolation method and its application in model reduction S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.909645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ae1f06b-fb65-4035-8100-0b2fce2e007f · outbound

This paper cites & Zhou, Z.

Tensor-based empirical interpolation method and its application in model reduction & Zhou, Z

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.599830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0701205-dcdc-49c4-aa07-0fe58249ccea · outbound

This paper cites & Shekhawat, H.

Tensor-based empirical interpolation method and its application in model reduction & Shekhawat, H

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T19:45:48.608881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab1406ad-c04c-4197-8de0-60d5a502bb0b · outbound

This paper cites Tensor-based empirical interpolation method and its application in model reduction.

Tensor-based empirical interpolation method and its application in model reduction Tensor-based empirical interpolation method and its application in model reduction

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-23T19:43:23.915088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation ab1406ad-c04c-4197-8de0-60d5a502bb0b · inbound