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Paper Citation Record · LEDGER

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation

As of 13 August 2026, this Paper Citation Record lists 100 of 152 outbound references and 0 inbound Pith citation observations for arXiv:2607.19741.

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

pith.paper-citation-record.v1
2607.19741 v2

Coverage vector

measured 100 of 152 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:57:01.301812Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 152 outbound references displayed

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External citation measurements

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Outbound references

Observation 2830265d-8f21-4fc2-a1c4-fcfc80e4ef58 · outbound

This paper cites , title =.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation , title =

Reference 1

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source=arxiv_source observed=2026-08-01T11:56:53.235406Z digest=sha256:c3da66f05cf97e16a105b1b5e8d309a72e72e298a1da0a05676d4c21cbc69fd7

Observation 47888f19-977b-455c-b3ab-72bd6c3938a9 · outbound

This paper cites arXiv preprint arXiv:2506.07729 , year=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation arXiv preprint arXiv:2506.07729 , year=

Reference 2

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source=arxiv_source observed=2026-08-01T11:56:53.321623Z digest=sha256:3d313b0c432a4a509ae9af799a5d84a4a8145ffcfd86019d990871bec10361fb

Observation bcd4baca-2652-4636-8e7b-38a49cdf8afa · outbound

This paper cites SIAM Review , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Review , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T11:56:53.443419Z digest=sha256:969eff9258f140d8a597654bc2c60975e8d311c85221352bb9c66e10dc57aae4

Observation 6ab1300a-eeef-401b-9ac5-285a55cff01f · outbound

This paper cites How many integrals should be evaluated at least in two-dimensional hyperinterpolation?.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation How many integrals should be evaluated at least in two-dimensional hyperinterpolation?

Reference 4

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Observation 947bbcd2-218c-4ff4-b874-dbe40db8fabc · outbound

This paper cites SIAM Journal on Mathematics of Data Science , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Mathematics of Data Science , volume=

Reference 5

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Observation 177ddb9c-e6c1-4595-bd69-ef66ef0d5591 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 6

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Observation 8f8ee3e1-ae3c-4c7b-984b-8b9456299673 · outbound

This paper cites , title =.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation , title =

Reference 7

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Observation 3027bc4e-2af6-448f-8b40-17f0bfad13b5 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T11:56:53.999185Z digest=sha256:12f91a29b9446bae89403739aaf72cecb82c56359191dd18f9fbc73046f526c2

Observation ed358f09-b54c-4fa0-820a-2efcbfca9bae · outbound

This paper cites Journal of Approximation Theory , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Journal of Approximation Theory , volume=

Reference 9

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Observation 6c4c5e3d-67f4-43c3-a5d3-6be220592422 · outbound

This paper cites Linear Algebra and its Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Linear Algebra and its Applications , volume=

Reference 10

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Observation 9b1932d3-b05d-4f20-bad7-11c6769f96f6 · outbound

This paper cites Accuracy and stability of.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Accuracy and stability of

Reference 11

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source=arxiv_source observed=2026-08-01T11:56:54.295825Z digest=sha256:9236936e454ab78ee543031a6ea4b15aee1643181ef02e52cb1cb1ab9801acdf

Observation 54e6ee4e-49da-463e-a240-610075b2ccf9 · outbound

This paper cites Multivariate.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Multivariate

Reference 12

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Observation 05460374-9925-4e35-b231-24a57dce7454 · outbound

This paper cites SIAM Journal on Mathematics of Data Science , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Mathematics of Data Science , volume=

Reference 13

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Observation 4ea27c92-85f7-4c25-88c5-43889ebe8230 · outbound

This paper cites SIAM Review , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Review , volume=

Reference 14

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Observation 2bb938af-0ad6-4830-9189-629b681096ea · outbound

This paper cites Proceedings of the American Mathematical Society , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Proceedings of the American Mathematical Society , volume=

Reference 15

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Observation b6e9eb0c-8c8f-4f8f-9c15-321b977bb6f5 · outbound

This paper cites Near-best multivariate approximation by.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Near-best multivariate approximation by

Reference 16

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source=arxiv_source observed=2026-08-01T11:56:54.711406Z digest=sha256:6f5936c193b9873fb7b6c662dbb0004a3f23634a87225a82777c98a19e376279

Observation ed9c8847-ff15-479c-83e3-6bd6b5e84d5f · outbound

This paper cites Foundations of Computational Mathematics , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Foundations of Computational Mathematics , volume=

Reference 17

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Observation 0020d4a1-a234-492a-9bc5-917df4f8a2bf · outbound

This paper cites Advances in Computational Mathematics , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Advances in Computational Mathematics , volume=

Reference 18

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Observation 4e7e7fd7-9fe4-4a8b-97ce-fe9b78a7f2ef · outbound

This paper cites Functional.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Functional

Reference 19

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Observation ea01ecec-a988-45f2-af28-57235aa9945f · outbound

This paper cites Low-rank approximation of continuous functions in.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Low-rank approximation of continuous functions in

Reference 20

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Observation 8ff52375-44ae-45d3-b08b-2f35256ed6c3 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 21

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Observation 17313713-ce88-4eff-9270-be0e4d59324a · outbound

This paper cites Functional tensor-train.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Functional tensor-train

Reference 22

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Observation 2aeba00d-4793-4aaf-8b57-4ff6f932120f · outbound

This paper cites GEM-International Journal on Geomathematics , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation GEM-International Journal on Geomathematics , volume=

Reference 23

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Observation a1787c7b-f8de-48b3-9ff5-714dfb6563bd · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 24

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Observation 6d6f8b28-71f4-480d-bbb6-4d17e72a4d0a · outbound

This paper cites SIAM Journal on numerical analysis , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on numerical analysis , volume=

Reference 25

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Observation d7b92c4b-6360-41f8-910a-2b5b006c5d40 · outbound

This paper cites biometrika , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation biometrika , volume=

Reference 26

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Observation 012f5e41-9a05-49be-9d17-cdccd938f4db · outbound

This paper cites Perturbations of.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Perturbations of

Reference 27

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source=arxiv_source observed=2026-08-01T11:56:55.841108Z digest=sha256:bab31f9416208b0c927a3385ce5bb50f76c7c538dd22b79584cff42c96a2e01e

Observation 0e5bbe41-11b4-489d-935d-20d99f1b61e0 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

Reference 28

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Observation 67cacdee-a0ee-4bca-a2d4-fe2360d99567 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

Reference 29

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Observation d0f308db-b5a0-439c-88c3-a936c1d0e6cc · outbound

This paper cites Randomized algorithms for the approximations of.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Randomized algorithms for the approximations of

Reference 30

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Observation 15263d15-5efb-47e5-9ca0-3814119cf521 · outbound

This paper cites SIAM Review , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Review , volume=

Reference 31

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Observation 39a4d08f-b382-45e4-a483-926024b65823 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

Reference 32

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Observation e33c208f-1cb6-46b3-a816-65a568d4ca23 · outbound

This paper cites SIAM Journal on Scientific computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific computing , volume=

Reference 33

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source=arxiv_source observed=2026-08-01T11:56:56.691605Z digest=sha256:a195d23171c5569967ede81b8625319af2db6fb06f229939744a866aeae204da

Observation 6d8abe6b-c524-4a01-8333-cc175ebb8b5e · outbound

This paper cites The fast.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation The fast

Reference 34

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Observation 72a91bdc-d4e5-4e8c-a6b3-808cdd649156 · outbound

This paper cites Journal of the ACM (JACM) , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Journal of the ACM (JACM) , volume=

Reference 35

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Observation ba47a0a1-b0c1-4912-b83b-e16a7b064e92 · outbound

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Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation 2022 , publisher=

Reference 36

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Observation 5ba96d4c-568d-4956-9fa3-6d2017bba49f · outbound

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Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Unresolved cited work

Reference 37

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Observation 99c19f87-0550-4e87-a8d4-bc25f7030cd3 · outbound

This paper cites Structured random sketching for.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Structured random sketching for

Reference 38

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source=arxiv_source observed=2026-08-01T11:56:57.092181Z digest=sha256:092f12b4ac2772bf1fb7c532bbe2f87518aa5a428eeceb73006a318248c9305c

Observation 1f556e50-e835-478e-99a3-753d30b9f7e7 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

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source=arxiv_source observed=2026-08-01T11:56:57.187775Z digest=sha256:64d829d30fc44caffa0702251275733a3dd79fef8cf0e709f8e55bb105b65e93

Observation 08e42f15-76d3-4e0f-bfce-ba13945b5107 · outbound

This paper cites Sketching for.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Sketching for

Reference 40

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source=arxiv_source observed=2026-08-01T11:56:57.255211Z digest=sha256:d566107c30770a1501034a31905cd7fe662e68bca8a01b4f5b6dc95b3db88d10

Observation 59dc3cde-854a-49f6-851e-23493975617d · outbound

This paper cites Foundations and Trends.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Foundations and Trends

Reference 41

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source=arxiv_source observed=2026-08-01T11:56:57.339805Z digest=sha256:593ac7c2b764ce08e945b4dcec910fbbf5946aea2b212612c934f598b1bdb19d

Observation dfdb024e-2030-483d-ac6e-5d1123c8d613 · outbound

This paper cites 2022 , publisher=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation 2022 , publisher=

Reference 42

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source=arxiv_source observed=2026-08-01T11:56:57.392973Z digest=sha256:31473b182e2d1579a2a6d299d17653c74f6ebff1dc7437c1c6bfafc99b23cee4

Observation da014f8f-30f6-4992-812e-caf7ba43eccc · outbound

This paper cites ACM Transactions on Computation Theory (TOCT) , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation ACM Transactions on Computation Theory (TOCT) , volume=

Reference 43

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source=arxiv_source observed=2026-08-01T11:56:57.474322Z digest=sha256:9a79ff65aeb8ac446540b78898bdc675658706ae2a53afca17680f17a0ac2756

Observation 7cb89e70-90e0-4a17-8a5e-68e1c0fd934a · outbound

This paper cites Improved matrix algorithms via the subsampled randomized.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Improved matrix algorithms via the subsampled randomized

Reference 44

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source=arxiv_source observed=2026-08-01T11:56:57.583375Z digest=sha256:9ac39e4f8e8989fb93358999867fb27ac025c1e666448e5c89e4184ee6cd66c9

Observation 3e276ea6-9f96-4bf5-9f51-791928dca3d0 · outbound

This paper cites Applied and Computational Harmonic Analysis , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Applied and Computational Harmonic Analysis , volume=

Reference 45

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source=arxiv_source observed=2026-08-01T11:56:57.663109Z digest=sha256:ce5b8e5690d6be67d283768bfbff602244854a85bde40cb4e4a7373105c4f7ff

Observation dd74d85e-5dc3-4dfa-8296-b5333623e8c7 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

Reference 46

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source=arxiv_source observed=2026-08-01T11:56:57.744721Z digest=sha256:36bd6e6854377eaece9097286dab8eead1391b0abfd9b80000b380cbb565ce4f

Observation 777d26ef-0868-4b50-9802-d7463420a809 · outbound

This paper cites Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

Reference 47

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source=arxiv_source observed=2026-08-01T11:56:57.823398Z digest=sha256:4d6c43359b49f1cb7804cfd460965c9320fa871e96c886fa5d51d9f42ee87d20

Observation 12a9d965-eafa-4813-a2b1-cc9abe3750f2 · outbound

This paper cites Randomized block.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Randomized block

Reference 48

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source=arxiv_source observed=2026-08-01T11:56:57.904736Z digest=sha256:50da41377acde1ed6135a20b055927add924b3043e387fcc9390d67889a02f7f

Observation 2b9749a5-4103-4e3c-8a21-7afcb932bc15 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

Reference 49

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source=arxiv_source observed=2026-08-01T11:56:57.984914Z digest=sha256:40569f4a684008e2b8b5d9ace4b2a3ded8640ff69883340020365a144b8c7871

Observation fb4da4be-ae82-4453-8798-e8f09b4eb39a · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 50

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source=arxiv_source observed=2026-08-01T11:56:58.068952Z digest=sha256:315a9f4c6037ade0aaf3a0322fa045b2a8399c90530b8eb5f51feb678293e3a8

Observation 27cf1d4b-2f68-4d30-8dc0-3d5c53b79b15 · outbound

This paper cites Proceedings of the forty-first annual ACM symposium on Theory of computing , pages=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Proceedings of the forty-first annual ACM symposium on Theory of computing , pages=

Reference 51

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source=arxiv_source observed=2026-08-01T11:56:58.124020Z digest=sha256:51037b03534267f8aafc9af058ecb71f3edb1acaa058ce45d1a6ebb5e007255b

Observation e7d1bbb0-0796-48ed-85db-3c4090aa3765 · outbound

This paper cites Linear Algebra and its Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Linear Algebra and its Applications , volume=

Reference 52

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source=arxiv_source observed=2026-08-01T11:56:58.207136Z digest=sha256:bfe45e76a051d2b666fbe246513a2e19d9cc138c7bdc243469b2760271a43ea8

Observation c39d7eff-67ff-45f1-b834-d80393fad47b · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 53

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source=arxiv_source observed=2026-08-01T11:56:58.262547Z digest=sha256:7cf3303dd5926a8287f11fbb7c63669cafb62e534f16d8cb73c209f418e1cad3

Observation 71ec6190-9558-4542-a299-736711b839bf · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T11:56:58.297379Z digest=sha256:ad3f4c03b30005d6bfd5e6d623e9c77161daace26ddc9007515595d171aef9b8

Observation 31628a18-433a-4ee5-b124-34118ba9c3c0 · outbound

This paper cites Psychometrika , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Psychometrika , volume=

Reference 55

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source=arxiv_source observed=2026-08-01T11:56:58.378331Z digest=sha256:8e4204d04a3baa60baf1cce3b2b499ef4ac844dd446d29ef533b01b076a1cba8

Observation 0cc0cdb4-51aa-49f5-b5eb-aa5f0f39ea22 · outbound

This paper cites The quarterly journal of mathematics , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation The quarterly journal of mathematics , volume=

Reference 56

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source=arxiv_source observed=2026-08-01T11:56:58.550888Z digest=sha256:59f79eac5a688e879be03adc4586363039f8c663e6dc395d33e2f4e311c9c205

Observation 1da18b7e-ddec-49e0-a01b-b83a8c5d9091 · outbound

This paper cites and Hussaini, M.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation and Hussaini, M

Reference 57

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source=arxiv_source observed=2026-08-01T11:56:58.639213Z digest=sha256:bccef7c1a3b03b5c6ac957b2b864308d2eaab12f848499976002de96e2ae1b82

Observation 9c37428c-c3f9-4e57-883e-13a4240a8004 · outbound

This paper cites Applied and Computational Harmonic Analysis , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Applied and Computational Harmonic Analysis , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T11:56:58.731911Z digest=sha256:c0824407089c163a3909f1f4195c2746e410344c9790bc5de94a1f15249b553b

Observation 3c6474b7-5f31-4387-9150-fed1df3be2be · outbound

This paper cites an unresolved cited work.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Unresolved cited work

Reference 59

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source=arxiv_source observed=2026-08-01T11:56:58.894070Z digest=sha256:669f3e9092ed759c357f73d322ffb8f1639dc7026dfcfaf4389f13c55372c61f

Observation d5a05d6f-3f67-4c87-8339-4ebf42e43256 · outbound

This paper cites Cross interpolation for solving high-dimensional dynamical systems on low-rank.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Cross interpolation for solving high-dimensional dynamical systems on low-rank

Reference 60

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source=arxiv_source observed=2026-08-01T11:56:59.000654Z digest=sha256:3213867e54c9fc28158678c2e6c5ec86bd0f1a392307915e0401455d96fdffa2

Observation c1b889ef-7ea9-4d15-a837-b3e32dbf036e · outbound

This paper cites SIAM Review , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Review , volume=

Reference 61

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source=arxiv_source observed=2026-08-01T11:56:59.137345Z digest=sha256:f43ca30db587558de199493c8ae8213882fea2509f3b5e5d2ebf104415b7cd88

Observation 88088ef4-4901-40ac-acac-ba88d739cb7c · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 62

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source=arxiv_source observed=2026-08-01T11:56:59.295887Z digest=sha256:7948109ad25eab1482b9cad2227b5a99e1c350e52af8a7d895ec003e71af198b

Observation 4b31b57f-e333-4228-952f-161ce96a7253 · outbound

This paper cites an unresolved cited work.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Unresolved cited work

Reference 63

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source=arxiv_source observed=2026-08-01T11:56:59.375298Z digest=sha256:17e555ce16f1d539098a767e1514b8cc1d6a5139870bcf011ab44bd860cf195c

Observation f65f56b2-27a8-47bb-95d2-56752c0b0c29 · outbound

This paper cites 2009 , publisher=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation 2009 , publisher=

Reference 64

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source=arxiv_source observed=2026-08-01T11:56:59.539434Z digest=sha256:33719badccdd540b3095570cb5c85d1a828746b70b223a516f191b6879277c42

Observation 752eecf0-c0a0-42ca-a2fd-fdb5e49614c9 · outbound

This paper cites an unresolved cited work.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-01T11:56:59.704763Z digest=sha256:040c1501479ef54644b50caa0c16e18ccf7112684dd62e0a4486b32aeb732ae9

Observation 6a7b6a9d-b8ee-436c-999f-d0d7db9fb228 · outbound

This paper cites and Van Loan, C.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation and Van Loan, C

Reference 66

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source=arxiv_source observed=2026-08-01T11:56:59.815309Z digest=sha256:e8365548069a39fd138d593873ab27b5593caf03696c8cf0d0fc93a379c5f7f4

Observation 96813047-e243-40dd-8815-63e6cbdeeb58 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Scientific Computing , volume=

Reference 67

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source=arxiv_source observed=2026-08-01T11:56:59.887255Z digest=sha256:2d77d3735c50136dcb6c7b339e90bfc47757b7d3a476d07bd37e66baa6d47407

Observation 70de8c54-db04-409b-a9b2-95b5d9db88ab · outbound

This paper cites SIAM Review , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Review , volume=

Reference 68

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source=arxiv_source observed=2026-08-01T11:57:00.007681Z digest=sha256:0d9886caa1ad6b7843a6ec1f14642889f2b237ec5ed70a925d311430f5c40eb2

Observation d3e8a538-e074-4732-90da-260c2c27ee06 · outbound

This paper cites Efficient algorithms for.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Efficient algorithms for

Reference 69

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source=arxiv_source observed=2026-08-01T11:57:00.128789Z digest=sha256:8899d069d3eca9049b48a385a799af2801706e9aec304dffa5701f2021772d19

Observation 8dc964fe-cfc9-4d99-8979-503549e8666b · outbound

This paper cites Numerische Mathematik , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Numerische Mathematik , volume=

Reference 70

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source=arxiv_source observed=2026-08-01T11:57:00.232936Z digest=sha256:7fac2450eb70931f65f5f73d644c2d14476bba076be0bb500e8f6da833fd44a8

Observation 3a3aa7e3-fc97-40c6-9152-a895af971a2d · outbound

This paper cites On the low-rank approximation by the pivoted.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation On the low-rank approximation by the pivoted

Reference 71

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source=arxiv_source observed=2026-08-01T11:57:00.433907Z digest=sha256:c307576b6274ebc555336b97c00d3b101f667370cab9c2eff8ba697cc94a7376

Observation 35264e72-2bcc-43f0-b9ab-196db881f826 · outbound

This paper cites Efficient algorithms for computing a strong rank-revealing.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Efficient algorithms for computing a strong rank-revealing

Reference 72

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source=arxiv_source observed=2026-08-01T11:57:00.485968Z digest=sha256:df1681b269856624cba9223954c6e411dbb4701c805f5614087d3acb896417b5

Observation bdf33fde-501c-4806-b9c4-9b28c4e0175c · outbound

This paper cites Relative-error.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Relative-error

Reference 73

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source=arxiv_source observed=2026-08-01T11:57:00.565742Z digest=sha256:98706421c2c3d846ee2ce7e17fc78443ccf0bfe86bcfac4bb18d4bb6939f3ae6

Observation 0d6fef8f-96b0-4b06-b1dc-b034a970fe7d · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Matrix Analysis and Applications , volume=

Reference 74

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source=arxiv_source observed=2026-08-01T11:57:00.646218Z digest=sha256:fa1558dc5a3f708f16be2461f24281b2e6266b8d7e38daf22189a7ca5e429303

Observation e4b10e45-8e53-4044-bc3c-96811fb04c11 · outbound

This paper cites Low-rank approximation in the.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Low-rank approximation in the

Reference 75

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source=arxiv_source observed=2026-08-01T11:57:00.728182Z digest=sha256:c3cec3e0b913230e54fec94cb1213d5faedcaacdab5b4c9586982be432f3b08c

Observation a4802059-84cf-411c-8121-c7b7fc58421d · outbound

This paper cites Linear Algebra and its Applications , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Linear Algebra and its Applications , volume=

Reference 76

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source=arxiv_source observed=2026-08-01T11:57:00.810373Z digest=sha256:7daa0e433a60a4dd03fa3fed33ae15eff1b7c8091cf9c5e09b14486da4a9404e

Observation 765899c1-1240-4fee-a870-f6f4a3c467c8 · outbound

This paper cites Notices of the American Mathematical Society , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Notices of the American Mathematical Society , volume=

Reference 77

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source=arxiv_source observed=2026-08-01T11:57:00.868384Z digest=sha256:d55e7f5124a74b367a341ffb49d31f0099256d25e4326825bbb8597e887c189f

Observation c60830b2-025e-477d-ab69-5b434b87b9fd · outbound

This paper cites SIAM Journal on Computing , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Computing , volume=

Reference 78

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source=arxiv_source observed=2026-08-01T11:57:00.892700Z digest=sha256:eddd32c907482e982b8e5fb2a3a508d203d76b2f17517a7fd11d45430ed666ec

Observation 39d6d097-2b8f-48aa-bc9b-a1887060c535 · outbound

This paper cites A hybrid.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation A hybrid

Reference 79

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source=arxiv_source observed=2026-08-01T11:57:00.946450Z digest=sha256:732728a26705a804dff9cb7bd21f5b31c8f2c7390800224c948d9c6650e80291

Observation f55db661-ec95-4c4f-986e-f893b8ee0e68 · outbound

This paper cites an unresolved cited work.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Unresolved cited work

Reference 80

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source=arxiv_source observed=2026-08-01T11:57:00.997801Z digest=sha256:f547e8dd0f082bf9df01a78c1e2bef397df1d00cfa70314dc8199eb390e4f2c9

Observation 55630f7e-6f53-442a-b1c3-22e818ae2730 · outbound

This paper cites Making the.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Making the

Reference 81

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source=arxiv_source observed=2026-08-01T11:57:01.036591Z digest=sha256:4b3c75f08874507bd361453461434fc7a6492e8f3528068205209b5fe2cca60e

Observation 70dbbd3b-5752-4ffd-aaae-f6611722ea5c · outbound

This paper cites Journal of Scientific Computing , VOLUME =.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Journal of Scientific Computing , VOLUME =

Reference 82

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source=arxiv_source observed=2026-08-01T11:57:01.053666Z digest=sha256:72b7e43021c83460a6346fdc5147c3e3af90e4ab835a9706299ad1bf29119f66

Observation 6459016a-de62-473d-8691-cfa027fdf22f · outbound

This paper cites and Rauhut, H.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation and Rauhut, H

Reference 83

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source=arxiv_source observed=2026-08-01T11:57:01.086888Z digest=sha256:8a9f6ec8c8dd8d88b6519c87ad4c69b049c18a5bf4ea4f8d09a5a4a463fa409c

Observation 020e10bf-f93d-4e83-b1c9-21a82063d8a2 · outbound

This paper cites Journal of Approximation Theory , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Journal of Approximation Theory , volume=

Reference 84

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source=arxiv_source observed=2026-08-01T11:57:01.130684Z digest=sha256:ca0cb29dc000f326656e80d83e331bd95654b91c75b20587adfbd8b2a90f8dfe

Observation 240eda84-b4c6-4f91-8656-d843e23ea5a2 · outbound

This paper cites BIT Numerical Mathematics , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation BIT Numerical Mathematics , volume=

Reference 85

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Observation 30d905d1-80de-4cec-ba4b-9d352e8953db · outbound

This paper cites GEM-International Journal on Geomathematics , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation GEM-International Journal on Geomathematics , volume=

Reference 86

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source=arxiv_source observed=2026-08-01T11:57:01.213656Z digest=sha256:3c3a9b617b702289d627c81a02ff8648ef14d11c539806be20d2c4ec8c6af431

Observation 3a1d6d9d-4077-44ab-8ca3-7d5c08a18a1d · outbound

This paper cites Journal of Approximation Theory , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Journal of Approximation Theory , volume=

Reference 87

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source=arxiv_source observed=2026-08-01T11:57:01.248595Z digest=sha256:153e3eee9878c715562da2c014709bb8acf9a04f0dbc7f25212d15c53e3c7ebc

Observation 54303796-4f44-4265-b250-cddc3185d270 · outbound

This paper cites Polynomial approximation on spheres-generalizing de La.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Polynomial approximation on spheres-generalizing de La

Reference 88

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source=arxiv_source observed=2026-08-01T11:57:01.252828Z digest=sha256:6c8c8c5c281d4a2e75d7d7a803e25ba2aa0bafcd601fca88708db6756be05192

Observation c32a52d0-6342-443b-887e-bc1020aa6409 · outbound

This paper cites SIAM Journal on Numerical Analysis , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Numerical Analysis , volume=

Reference 89

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source=arxiv_source observed=2026-08-01T11:57:01.256902Z digest=sha256:03b28554fb3768e3dc49d9bf812c37789c541fc1df1c7949e591f0ef7c48dcbe

Observation 0ae22f67-b530-49e8-9428-89c4612867f4 · outbound

This paper cites High-dimensional integration: the quasi-.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation High-dimensional integration: the quasi-

Reference 90

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source=arxiv_source observed=2026-08-01T11:57:01.261480Z digest=sha256:e3394e0fa6ae7607ad9a2d5c21a798e7747d62b77f9cb58c7107bd20a3b0ec71

Observation de96d02a-9c8b-4e78-87e1-b705bc4ebbba · outbound

This paper cites and Johnstone, Iain M.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation and Johnstone, Iain M

Reference 91

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source=arxiv_source observed=2026-08-01T11:57:01.265507Z digest=sha256:abf8280b8736f05a36c94c0c5b4a848138194f3f07977ba80e5522d699fd1f26

Observation d663dc7c-b048-486f-af8e-dae4f96fe9c3 · outbound

This paper cites Constructive approximation , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Constructive approximation , volume=

Reference 92

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source=arxiv_source observed=2026-08-01T11:57:01.269843Z digest=sha256:a753a314af2ad05aff9aeb0eaeb68491e65ae9a364e3559183779f993927dc28

Observation a4f474e3-8203-48e4-b7a0-e01b47ee344b · outbound

This paper cites Theoretical.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Theoretical

Reference 93

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source=arxiv_source observed=2026-08-01T11:57:01.273823Z digest=sha256:c5a8a2b9df55b4b9c6cd7b2ee5fcad3e7ceddc871d9d96efa89f9dbe970abad0

Observation e3614789-7ad0-4fd0-a42c-b0378f527953 · outbound

This paper cites Transactions of the American Mathematical Society , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Transactions of the American Mathematical Society , volume=

Reference 94

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source=arxiv_source observed=2026-08-01T11:57:01.277897Z digest=sha256:a3e6c807a9983d5d5798cc6da76814b1557fdc381a8251f10933909230bea26b

Observation 58fae824-eba6-43f1-939b-62f28feb550e · outbound

This paper cites , author=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation , author=

Reference 95

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source=arxiv_source observed=2026-08-01T11:57:01.281959Z digest=sha256:0acdfdfc8ba7daf75a187b94e23594429bb4a49fc6e4357de0e2bc2ce4e46973

Observation 28ab63ec-05bb-4fec-a531-c9d6728cc51d · outbound

This paper cites Concentration.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Concentration

Reference 96

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source=arxiv_source observed=2026-08-01T11:57:01.285997Z digest=sha256:233f703be40f740b86895c3bd6e58a3d065636bba0e14c7dc57cbb968aa90c5b

Observation cb25f0cf-c329-453f-8a12-2c498c5ee25e · outbound

This paper cites SIAM Journal on Numerical Analysis , volume=.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation SIAM Journal on Numerical Analysis , volume=

Reference 97

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source=arxiv_source observed=2026-08-01T11:57:01.289886Z digest=sha256:45fd4a4dfdd32e57ba3db9f55ac4e08fba97da1ff7f7756aa1a20cd6bf7cee0e

Observation e41db22f-9d9e-4fc2-93a7-0aac9e102260 · outbound

This paper cites and Sommariva, A.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation and Sommariva, A

Reference 98

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source=arxiv_source observed=2026-08-01T11:57:01.294154Z digest=sha256:8a64c4d83fe36be906ecd1a1cef3e50f809e06d9fce3c88bcba27199214437eb

Observation 23dc2659-c81a-4980-859b-ce8b8e9f8d6a · outbound

This paper cites Numerical hyperinterpolation over spherical triangles , volume =.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation Numerical hyperinterpolation over spherical triangles , volume =

Reference 99

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source=arxiv_source observed=2026-08-01T11:57:01.298000Z digest=sha256:0d2bdeeedee9c12fc0cd1a6397caac5a56a40489cbb38c63c1d01bcc27957e0e

Observation 14846c5b-2d73-4192-8884-a1af67d6137c · outbound

This paper cites and Sloan, I.

Intrinsic Low-Tucker-Rank Theory and Unified Tensor CUR Decomposition for High-Dimensional Hyperinterpolation and Sloan, I

Reference 100

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source=arxiv_source observed=2026-08-01T11:57:01.301812Z digest=sha256:c56b833d3a875ef23fce6868296abfde62d36828160c2bda10c2806d26e4ddea

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