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Paper Citation Record · LEDGER

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

As of 6 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

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

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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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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=sha256:73decbccacc236964cf4de072eaca140bdffea4bac0dccfa9ce3d6f357b90ba7

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=sha256:5cce683555172e50464bd2e241ac9deb36d922b179256ae795955a1cfa209822

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=sha256:09fd6eca3ffcffa7de3a36aabe02a67d35696d10e2ae328da37659cde69ee6c9

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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source=arxiv_source observed=2026-08-01T11:56:53.564057Z digest=sha256:8898f34f3622e478c545f3569bbd27cb8bbb8b58d2b725304451b9b6036a943a

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=sha256:199a5e592255ca41b247fbbe587faa8303b951acc467f3cd76e05c6679bafff7

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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source=arxiv_source observed=2026-08-01T11:56:54.202507Z digest=sha256:c2dfc7a55c00cd39d54dafc2d5424c57f90d7dfd5f78c3ae9370da0ee5451925

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:a9ca91631ffe42c0a1e2de5108f05baceca7eee08e4b90b65cd9b309d2d10512

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:d1f4254cab48241b35131ad6dfb0d96489049211ce1dde9d2a34b3ce33b00ed6

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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source=arxiv_source observed=2026-08-01T11:56:55.591110Z digest=sha256:ed80b2b75ae37d6b5dad121641d2ec7d3f8e3d4db95ab7a4e72d4056f66fc3e2

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=sha256:964c77973b02797ff49653b4da0cf387cd5fddb875c2b04b8fa8fb3534a0b320

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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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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source=arxiv_source observed=2026-08-01T11:56:56.769963Z digest=sha256:b427dd1ce74969d10c95f6b2cfd44f3578e6aa8e9cf25ba151f370ef913a6992

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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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:e2f6920381df19bdb9e9c196bd05d598e7ccf1fdeec31dc9fb4daf2fdcf23971

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=sha256:5613eb4ac3212d06de54d811b4b1aea588154a7db01699ff39a7c93cec0e96ec

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=sha256:7dbd672dcb68242344eae34c1a64109231467a264d7e85b4dcb5fc572d6639ed

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=sha256:8fcc17591adb4a6e0622a454eed0fefed1855bacbeebea0b45fadbf9ed28b3a6

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=sha256:18e5eeddc6c06bfdb34a606bf91a70179aff9a2cce6e5183e2b31dc0fc88d9a1

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=sha256:037e8e2311812f39f7ba063eec43246b19b43fdf8c3e81d469bbb2f0a5d2734a

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=sha256:5fcc88a7a9d623299aea7a6d932dc569fe5ffe9808de7071a4f0f87dd9ab50c0

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=sha256:2335bf29c520ed79f91555668f5a434f34ceee0662131b8ce1ebd46eb55b733e

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=sha256:9fcdbe3e1c8163689495008106303eb4084c22cf782c70cfd56626f4f0ff5544

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:e4a67f56cd5f3bfd529ea2907fcad6b97ea45b4c2fab3ef77379e3b0ca8705d8

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=sha256:1ea8acb24cf7891616081aeaffa7412acd3d432779e76ab437b3ea0ddbbed019

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=sha256:57f91652f45b6aa3cfa8b7a363704e8d61694299673e83b2faa17bc20670b05a

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=sha256:8359b92e2073cc1d0f85186aa688e96a2435c1aecabb2f552cf77bd5a3eb31d0

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:cda305ec8720ea00705ec98c2278458544586da91cfca9f16ae01beb92601939

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:cf00fd8ec32ddbc1268495113a037b4001fa2789e5421da4caacd674c7194b5c

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=sha256:060cbe60155eeb1eed566c25410b861741fcc96dfd56486c652215e0c7401496

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=sha256:708c35d36e1d660c52e0da2e94b0d12f5440231f9e8d22cf379c60a92df4a3a1

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=sha256:2b77c7be6cd64b6527bf9d9bf06dac054cb2fd9fb83ec2479395b04cd35d58c8

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:a4f26f3fe8a713032b2bf30859111ccafe99ce29dbe702ec4487eeb068d8d1e9

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=sha256:95526a404d60152b2562226ca590f3df11be43fead90097b789af3f57d2ec2da

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=sha256:92f2a48db0052307f65a9eaefb402d720c5077bb5a392e9beffb91d186ee00bb

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=sha256:5d126e79dd85ca06d0053675e5bb8a520faed1961edd2b7d81dc20c08912b2f1

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=sha256:12a27a94f0566ba448c978708d05cca283dd7cedac4e94e29369f6f31b86c598

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=sha256:7ffe9279cfae7d360e206124942decfeb99f9f867457cfbb4541c4d515793a73

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=sha256:5987909ca1b0d17d2dc32de95a15b00ded1bb79827a92dd2087ae33a25780ba7

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=sha256:1520295fc102dfd178e2baf2cc02173c05e4e16f090c61ad28dda1f03fab5949

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:f109550fc1ec7ade62aba93e65c8c40d8052411fa531c72dc77cde6a61be1c26

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:fe84bebf707c2d6809bb81eb47cac7f4516370147fcbcc7df51bdd97d32aa38f

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=sha256:7a62dccd4ad28ca8506d742ce8653b0ccfc3e84eb2353d30344fd8f817d18b24

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:b4e23ed73e96c952691ed28af8b21a8fbb4a5d8fadb805e1e0a6dcb518e98cd3

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=sha256:9cc7526fc8cd2d541622b594fb3bb8e6cfa0e51f10511e6af08f9683ca2779d8

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:f34da7d8236b481ac6500bc04aee436553a1035b9b34969a720d0acf73420ae0

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:a57613e24db93464c8720efbfc811187f0c30e1141865c310822a5bdf3fd1f14

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:df62f0e8b7e16a26f4b2254964b4bcd6b0fae88825843408f15e300e5ede2870

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=sha256:02bbe607321b6257569aea41521c491eb11a937c89ad105fd29796573f849ae1

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:d45945951602cd517a36c898e35d84990e005e38f98cd2e842a15adba9ac492f

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=sha256:2c5fcb3654e56974976edac6fb1fb43b436ca7f69ba4607429887ebf3e43a8e7

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=sha256:443418dbcade25432bf0aae743b5266dbd416625370114833ec48b1b06eb04bc

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=sha256:2720c84c3112083da504f8d439aa637159052ee44ccf572f2754a2b6cf2ace4c

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=sha256:4d5cbc2d3e1f44430d90e64bd1b2dd449f181a6c4e4f1789df322c75529d5763

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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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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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=sha256:40e81f194b575c34f9e381ca5e02db041e942c5d17c9acbbe09199a68e170acc

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=sha256:6303e31f5222471bf1722b96804f9c522269d58b03de87ddc764c8c105384ea9

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:a46e535c940259d2b5de48aa83a42322b756565d822a947f4b50bb86b21e0f4b

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=sha256:6055ec38653220c4b522a7ef0397923fb415384b1de91014c6d9940506189f1d

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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source=arxiv_source observed=2026-08-01T11:57:01.179667Z digest=sha256:9bae3f187ae04bb2837144ad3edaf47aa1c4ef02b7e0e20f2b71eb404d8ef759

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:b37c8a7e047dfc5ce1560a8cce873f43f2106f0b38f7995c12b79adc8f8fd18d

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:fe9a8a75ef636e324c72c449beb3e3ec384ea2eff346e7e782c85f5dd9137470

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=sha256:5f1f53fd81e957639a6969649daaf3a9eaa31dfdc4a09422fd74d8a52a3178ab

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:cc2f5c4864fac1c4148c98baa54683403173621a34ec94adf1a176063c9b24e6

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:f180078df5eb7a601316275c46a61376bbc8da1976b81c40e0ec73658ef5863a

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=sha256:728e385e0f6705b4fe6edc0ae71f8fdafe971e469deb0366e4acb178cd75e298

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:d1b11882064a0dbc50cf30131f1099f32a3d133274a72c6c3e77a65bf7fe5420

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=sha256:84a69d88140060d9d339b296f51798223b9a5acc75d060bdb91665a73ecffd0b

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=sha256:95733bf22209d9548add3848e249f84582843a9a5825dbe30f88ec99f7d15863

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=sha256:164a28c838b476c423659eca4f64a7db7a51a70a0d374eaceb7d1c8dc31cebea

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=sha256:3ced5975ce3116f747d79c4bca88297618c82804215e4552a3482a89e70a69a6

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=sha256:887abfc0065413b510082093a6a078fa4dcdd0101a8cce1fcf0f5029475c9239

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=sha256:9b56fcf0b546ef33bb16677187d578e915fb6e0eaa56a16d0ac6d6b209f35d6b

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=sha256:9f87aca00b017426b5d6c71aac2be2696902ddc362b6d6fe7f35341ab4fc092b

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=sha256:70be4349761146ffbf838c444fdf065876a365220490b93eff4a2a094ecd1a60

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