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Paper Citation Record · LEDGER

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format

As of 14 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2606.21750.

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

pith.paper-citation-record.v1
2606.21750 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T13:22:21.287216Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:34:40.363672Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T08:44:27.930187Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved84
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13fa593f-2200-418d-ab13-9f80fbae26ef · outbound

This paper cites Psychometrika , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Psychometrika , volume =

Reference 1

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:f07c1a2be48cc913f807d03c102b599922aca9f32831140d2ce1702dcbb24b10

Observation 36c340a8-a2b7-4ff6-a58a-da2417ad7d4b · outbound

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

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Journal on Matrix Analysis and Applications , volume =

Reference 2

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:f6774ab3ac129c3d9f34af7268e35a558029b62aab79d700d04b32a7c6bb0be6

Observation 3211a772-0ba3-47fc-85ba-cf640cf0ea56 · outbound

This paper cites Quantum Information & Computation , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Quantum Information & Computation , volume =

Reference 3

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:75d9b889ad4caa9ba006db680ff17998288ecc0687547cf155b8d41d87e73749

Observation 5edeb176-ed09-4837-9b6d-e7af36b34d67 · outbound

This paper cites SIAM Review , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Review , volume =

Reference 4

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:5da155c9398b459d524a23672b69558aff30fff93706099649b8435b0b31edd2

Observation 7f02a8a6-1019-4726-adbd-15572b27f5bf · outbound

This paper cites Journal of Fourier Analysis and Applications , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Journal of Fourier Analysis and Applications , volume =

Reference 5

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:2ebc0081cfb8efe99af090ba9f31279361f9ebd724c8a8c2e9aa54f000fafb2c

Observation 00def3eb-dfd6-4572-b667-9e02330302cb · outbound

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

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Journal on Matrix Analysis and Applications , volume =

Reference 6

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Observation 5bdbf085-b18d-4331-a276-1554fbad0cfb · outbound

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

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Journal on Scientific Computing , volume =

Reference 7

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:5da1c443c1b38d4f6faa88439fc2bff875f200078e9e9a686539b976a7f325fd

Observation 4bfb9082-8585-4541-9d60-d6c0d878ec7b · outbound

This paper cites and Eisenstat, Stanley C.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Eisenstat, Stanley C

Reference 8

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:1c3d11a1843d155d961462a70f01e8f27a4c0bc4ae6ef7b78688d31c50a109ec

Observation 7e370076-6729-4b24-8241-5a8d8dd9ac84 · outbound

This paper cites A flexible inner-outer preconditioned.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format A flexible inner-outer preconditioned

Reference 9

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Observation 264d8851-37ed-49f4-9971-cda4157260cb · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:c81c04ad85fbefcc0c9f10813b76c40fa0523518e16088aebe3dd4485a2c87a8

Observation 0e133fcf-fe32-49bb-86dd-af44dc73d56b · outbound

This paper cites and Walker, Homer F.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Walker, Homer F

Reference 11

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:1795cef51773203c7406f1c79c1a66eb2275df0755060bf2bf5f6a0bd63b5beb

Observation d9833208-644b-428e-aa37-446a26ccc655 · outbound

This paper cites 2000 , edition =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format 2000 , edition =

Reference 12

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:a85ba5f5fd297244135e57cdbc0e3c84ee1631e5055e45b19f92324b1403363a

Observation 6c979bcd-4726-470d-8adf-59c762794c0b · outbound

This paper cites 2000 , publisher =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format 2000 , publisher =

Reference 13

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:9a3e1fd4145704cf7177beed97aabea11d85c07a5ca04a552b82e3a4b020e63c

Observation 299c2f29-bdf4-4dfa-9513-f6954528be3b · outbound

This paper cites and Keyes, David E.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Keyes, David E

Reference 14

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:3a692b60146894f8f81f67780e4b1a25f190e53085ef2eb1b92b8907a7d053d4

Observation 57e2ca34-b197-4ba8-a21c-f92090571dd1 · outbound

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

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Journal on Scientific Computing , volume =

Reference 15

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:824094de46df63a0bd7c468f6ad73e7b0d8190c8f81b322837b14ab253bd72cc

Observation 16ab1476-3191-4a40-aee0-bab929e19169 · outbound

This paper cites and Oseledets, Ivan V.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Oseledets, Ivan V

Reference 16

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:78c9a5a8ec64c9c3d696d3d0f68fda5cec22fb4b166bc4ac907d4b33b00d5e8a

Observation 838493ae-5465-427f-93cd-6cef5f25a26d · outbound

This paper cites and Khoromskij, Boris N.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Khoromskij, Boris N

Reference 17

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Observation 82f46db5-9748-4eeb-b2d9-071d77212902 · outbound

This paper cites Numerical Linear Algebra with Applications , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Numerical Linear Algebra with Applications , volume =

Reference 18

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:a54e6d477c5af0179541c0d4f57be511f135181ff4a00ee69b406d0cf4ef9fbe

Observation 5d70f486-631e-423e-9292-3b9fe934134c · outbound

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

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Journal on Scientific Computing , volume =

Reference 19

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:62cb2517fe52f6a7970b48880d573adc034fbd12a54181f34ce3ede17feee713

Observation 75517019-da2e-4336-8000-1c4db4e38629 · outbound

This paper cites Multilevel preconditioning and low-rank tensor iteration for space--time simultaneous discretizations of parabolic.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Multilevel preconditioning and low-rank tensor iteration for space--time simultaneous discretizations of parabolic

Reference 20

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Observation 9b85d937-eab1-43c2-b0da-5a8973409fe5 · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:bfbadecc97c2ac3a330e6ffc3a3ce72adc2dff715ac04f783a7179acbabb122e

Observation 5bc10aa4-921b-40d4-b26c-11cdc16839fb · outbound

This paper cites Computing and Visualization in Science , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Computing and Visualization in Science , volume =

Reference 22

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:257ab7b9a5d20ef0cd47e59538023825524f092068b9460b8a8f5d7003e68a38

Observation e116bbfd-b055-4a61-8b77-8d6b4222cf7e · outbound

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

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format SIAM Journal on Scientific Computing , volume =

Reference 23

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:35b5c9a14fb7a72ecab4d9d4b37bb4446ee21c08d9aed14393d34885c31855c4

Observation 75107868-f31e-4c5d-9ab6-c809b1541316 · outbound

This paper cites Bollettino dell'Unione Matematica Italiana , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Bollettino dell'Unione Matematica Italiana , volume =

Reference 25

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Observation 3c5501e3-d651-4191-8aa4-f1283fa8e231 · outbound

This paper cites A parallel low-rank solver for the six-dimensional.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format A parallel low-rank solver for the six-dimensional

Reference 26

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Observation df61cc77-3ddb-4157-8e98-26f03c53272d · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:c09e181de11f27e62116ba0db0b1f1b27c0c583ff20aaa11247fc9b118b56fb6

Observation 6fab9da9-caaa-4042-a581-fbd5f81f3613 · outbound

This paper cites A robust.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format A robust

Reference 28

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Observation 1d20f285-49d0-4384-9e24-d69ecda66a0e · outbound

This paper cites PAMM , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format PAMM , volume =

Reference 29

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Observation ec95927a-61c3-4825-940e-2b28632d4b43 · outbound

This paper cites Journal of Scientific Computing , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Journal of Scientific Computing , volume =

Reference 30

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Observation 62c63cf1-5bff-4437-865e-5b6b66c7567e · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format , journal =

Reference 31

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:769ead01d1fcf090868a0a77666fadb19975b313bf84f56fac2c3089c0d54d4d

Observation f17338e7-cdf4-4197-9801-05392c245442 · outbound

This paper cites Krylov-based adaptive-rank implicit time integrators for stiff problems with application to nonlinear.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Krylov-based adaptive-rank implicit time integrators for stiff problems with application to nonlinear

Reference 32

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:d5930ab1b2fa42fa7eba8a2d7f862649e8c80c445a3d2bebf1304eb12a6789b3

Observation 17154b37-6f12-4efb-b2eb-9670f329de86 · outbound

This paper cites Journal of Computational Physics , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Journal of Computational Physics , volume =

Reference 33

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:af93f9d779de19c5ed274ad512473c0d9b76752baccfba069c71139f080fc6b7

Observation 822b1664-3bbb-4c83-88e0-6e697bdac7d8 · outbound

This paper cites lrAA: Low-Rank Anderson Acceleration.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format lrAA: Low-Rank Anderson Acceleration

Reference 34

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arxiv_id, observed 2026-07-04T07:29:39.358969Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:b0630262317a0492b7eec43ce61ffa24742068b972f7b6a0ae5be5d74702972c

Observation d9e0f942-ca94-42e9-9837-4e70066cb6fb · outbound

This paper cites Journal of Scientific Computing , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Journal of Scientific Computing , volume =

Reference 35

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:4a631e38fb7ff43bf99cecc6fb59aa4979444210d4f2a7dd8ecc72ec221f39d7

Observation 0d3f0e5f-f138-43c6-bcaf-fd6bed351d41 · outbound

This paper cites Electronic Transactions on Numerical Analysis , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Electronic Transactions on Numerical Analysis , volume =

Reference 36

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:64f107146ec42de318ad08b40907efac130f6039e1a4d3c087a3953ff58af59a

Observation 32603857-0889-4427-bd24-7100a4276a7f · outbound

This paper cites and Guo, Wei and Qiu, Jing-Mei and Xiong, Tao , journal =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Guo, Wei and Qiu, Jing-Mei and Xiong, Tao , journal =

Reference 37

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:7703f66e0d5d1f058b73fb7a97fde5dfeb1867fbbf142d6c53ca5a4534125ec9

Observation c1fbe6fd-2709-4d3c-b419-643e7b540596 · outbound

This paper cites Sands and Jing-Mei Qiu and Daniel Hayes and Nanyi Zheng , journal=.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Sands and Jing-Mei Qiu and Daniel Hayes and Nanyi Zheng , journal=

Reference 38

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Observation ed302e1f-5786-4bbd-b736-6862c4b60d8a · outbound

This paper cites and Hayes, Daniel and Christlieb, Andrew J.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Hayes, Daniel and Christlieb, Andrew J

Reference 39

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arxiv_id, observed 2026-07-04T07:29:39.362005Z

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Observation d9e7d982-a3de-4cd3-957e-b488c469a47e · outbound

This paper cites Journal of Computational Physics , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Journal of Computational Physics , volume =

Reference 40

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Observation 52922518-b72b-46c4-bacf-515e74379493 · outbound

This paper cites Computer Physics Communications , year =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Computer Physics Communications , year =

Reference 41

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Observation f1b99ea9-a985-43fb-bd1c-4de6c6b88f60 · outbound

This paper cites 2026 , eprint =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format 2026 , eprint =

Reference 42

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Observation 7ec684bc-9a72-40a3-bbc9-b9715f313647 · outbound

This paper cites Dynamical.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Dynamical

Reference 43

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Observation 02bc0436-95a3-415c-9984-4f0fab673e84 · outbound

This paper cites Algorithm 941:.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Algorithm 941:

Reference 44

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Observation 90fec6c0-f231-42b5-a69f-80271b0dca75 · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 45

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Observation 2e4bce46-e8cb-481a-b542-2c855ae1ee9d · outbound

This paper cites Acta Metallurgica , volume =.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Acta Metallurgica , volume =

Reference 46

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Observation be45b9df-c79a-4c2c-a184-1767a9800071 · outbound

This paper cites and MacDonald, William M.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and MacDonald, William M

Reference 47

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Observation 8073d7db-05a6-495c-8553-2f9614e7dc9f · outbound

This paper cites and Chac.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format and Chac

Reference 48

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Observation 990aeb04-7ca6-425e-bf99-bff9b2c4f3ed · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 49

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Observation 2744a4f5-fc72-4470-ac09-baee909249d9 · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:b2cdeb42fd6bbf942d7e8b796b0381a6eec13a53ec9f8edc4f2cb1dc2c8dd51c

Observation bfb4a94d-af7f-4a6c-90bc-f6c5fe05f705 · outbound

This paper cites Allmann-Rahn, R.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Allmann-Rahn, R

Reference 51

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:68e090c0ca699a2ed2312c8b8e49626d198a14d8abaf31578e11bccea3cccea5

Observation 94898950-8458-404a-a962-225292316382 · outbound

This paper cites Andreev and C.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Andreev and C

Reference 52

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:ba0cdc7721192857cd11f120849c15bdd36be1cd6b0110aa28c4817b8882c3b9

Observation 4a0efa60-eba2-4158-aac9-e2164ed39f8e · outbound

This paper cites Appelo and Y.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Appelo and Y

Reference 53

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Observation 460ae189-56fb-49fd-a100-9d4654a551c6 · outbound

This paper cites Ballani and L.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Ballani and L

Reference 54

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Observation bc87cd05-19a4-4763-b380-cac2f1bd4ec7 · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:231b0b986bec735fd667f2024bdb1413af7c90f870867baf346bd4d4d813c1ce

Observation 7ed95830-0691-40d1-8456-3d45f6552f6e · outbound

This paper cites A robust GMRES algorithm in Tensor Train format.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format A robust GMRES algorithm in Tensor Train format

Reference 56

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arxiv_id, observed 2026-07-04T07:29:39.355948Z

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Observation 7507d520-3ff1-4dd3-870d-053415ba9004 · outbound

This paper cites De Lathauwer, B.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format De Lathauwer, B

Reference 57

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Observation ad80bcff-a43d-4e39-941c-ec329bd17d0a · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 58

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Observation 9522725e-d36e-4faa-af88-66f53be902fb · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 59

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Observation 1ee02e4a-aaae-4a98-b7fd-a9b4f8def7e5 · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 60

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Observation f4c803cf-5b0a-415b-8cf9-52794bdbb5e9 · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 61

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Observation 52f98bf2-31c8-4b40-adb2-04a97cb949ed · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 62

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Observation ac2b4cdd-9989-4b25-9b05-233b8bb93abf · outbound

This paper cites Einkemmer, K.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Einkemmer, K

Reference 63

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Observation c491cb03-4c21-4f52-be23-49541237bd54 · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 64

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Observation 63126c7e-05b9-47c9-a305-9d5596086d51 · outbound

This paper cites El Kahza, J.-M.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format El Kahza, J.-M

Reference 65

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:533fcd51c183e10cf59aa83f73ee3ac079e1e16751a61f3c880f055654413fdd

Observation ee5ca8b7-57eb-4405-b5f8-7fa9cd1318ac · outbound

This paper cites El Kahza, W.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format El Kahza, W

Reference 66

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:988337d53be6e208b3e172837cc6105a0117675311b1a903817330fc02081472

Observation 5ac9d0d8-4804-4059-8577-8907557fdd49 · outbound

This paper cites Grasedyck , Hierarchical singular value decomposition of tensors , SIAM Journal on Matrix Analysis and Applications, 31 (2010), pp.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Grasedyck , Hierarchical singular value decomposition of tensors , SIAM Journal on Matrix Analysis and Applications, 31 (2010), pp

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:56f87a9063229581dceccdcb091a71fbaddfb55f39459511af263f3b1f1c54ea

Observation af7b6a2a-40df-4008-aa72-bb7ba520c1db · outbound

This paper cites A parameter-dependent smoother for the multigrid method.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format A parameter-dependent smoother for the multigrid method

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arxiv_id, observed 2026-07-04T07:29:39.353411Z

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:595df11d34a0b06a6e346539aee0deb3b985213ee809608cea8d9eb06d9bf1f9

Observation 1c72f608-162f-424d-8366-84140fa98857 · outbound

This paper cites Grasedyck and T.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Grasedyck and T

Reference 69

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:69e663b45fc253c1e6f373ffbc6c5fe3299ca3950131b0b43783cbb206dc7236

Observation 96148292-4469-4fba-a173-f70210e692e1 · outbound

This paper cites 188--207.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format 188--207

Reference 70

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Observation 957f3c73-ca72-46e8-b8f4-30f0cef9b47e · outbound

This paper cites Hackbusch , Solution of linear systems in high spatial dimensions , Computing and Visualization in Science, 17 (2015), pp.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Hackbusch , Solution of linear systems in high spatial dimensions , Computing and Visualization in Science, 17 (2015), pp

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:46eb82619212cef2ee477628603291ab4b6f66b7b6bc413deadf45029c3d8b36

Observation a2b0c117-cd0a-4829-886b-fe0d4646344c · outbound

This paper cites Hackbusch and S.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Hackbusch and S

Reference 72

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Observation 3f589434-728d-4f5d-8ff7-050635684aa6 · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 73

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:5db5ce1d1b4dd2bbaaee9a1caae6007f89ace894c3df9ea0a702fef675822ffa

Observation 74a353cb-8851-40ad-ae92-f0282db2ddb8 · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 74

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:ae0ab56bee7f396cdb1733456b758da2035120401ef7f21feac49c7c7c17660a

Observation 69c3bab5-d59f-42af-9dee-ee6eef59c51b · outbound

This paper cites Kormann , A semi- Lagrangian Vlasov solver in tensor train format , SIAM Journal on Scientific Computing, 37 (2015), pp.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Kormann , A semi- Lagrangian Vlasov solver in tensor train format , SIAM Journal on Scientific Computing, 37 (2015), pp

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:6a01c25abb7b49ac06835bdf39a74b1c6fe13483697ea787320007fe9e0a0f01

Observation 6d3965c9-a42b-4088-9299-3e6f5bc5139d · outbound

This paper cites Kressner and C.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Kressner and C

Reference 76

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:33e61fdf865ef8551a5b10a8b12d66e007b7be3a683f3aa71def7c27167642db

Observation fde1875d-30bc-473d-83c0-0555db5c85a8 · outbound

This paper cites Nakao, G.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Nakao, G

Reference 77

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:bc3dd7d94293a918db164e3c51c6602fda6871f01977e1a68d6f011266f8415e

Observation 2b596c62-1ef4-4981-b57f-18ae2b86f6af · outbound

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Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 78

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:9a3f798a958aba41d10903cf849d913d9bba508a17b835bcb90b6d2a87bd610a

Observation 5c6092f4-2fd2-4132-84f1-b55d37f46985 · outbound

This paper cites Perez-Garcia, F.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Perez-Garcia, F

Reference 79

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source=arxiv_source observed=2026-06-26T13:22:21.287216Z digest=sha256:68477df6ea4a6e0e64d21dc61fa4ad5828227545487ec44c2d872280affb6820

Observation cdc5a831-a502-426e-a7d9-c77802a83064 · outbound

This paper cites Rodgers and D.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Rodgers and D

Reference 80

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This paper cites Saad , A flexible inner-outer preconditioned GMRES algorithm , SIAM Journal on Scientific Computing, 14 (1993), pp.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Saad , A flexible inner-outer preconditioned GMRES algorithm , SIAM Journal on Scientific Computing, 14 (1993), pp

Reference 81

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Observation d2d2cf0c-cb82-46a8-af10-584f12d77649 · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 82

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Observation 8b6aeffc-b68d-4a46-87c5-80e3b320f00b · outbound

This paper cites Simoncini , Numerical solution of a class of third order tensor linear equations , Bollettino dell'Unione Matematica Italiana, 13 (2020), pp.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Simoncini , Numerical solution of a class of third order tensor linear equations , Bollettino dell'Unione Matematica Italiana, 13 (2020), pp

Reference 83

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Observation 8688ec39-cf25-482b-a3c1-c6e8c94f5b74 · outbound

This paper cites Trottenberg, C.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Trottenberg, C

Reference 84

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Observation ccb8ab67-ca66-4f2c-96b3-3148dbb4546c · outbound

This paper cites an unresolved cited work.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Unresolved cited work

Reference 85

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Observation aa62207b-4b7c-4c6a-8cd0-0de49e54c836 · outbound

This paper cites Wang and J.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Wang and J

Reference 86

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Observation 69a999fe-3e02-4935-b7a2-72dd3b2694d6 · outbound

This paper cites Ye and N.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Ye and N

Reference 87

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Observation 88d875cb-4ad0-4904-bda3-f6a6ed1b3693 · outbound

This paper cites Ye and N.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Ye and N

Reference 88

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Observation 96a21c44-a3c5-4a68-8d8f-936aebe711f2 · outbound

This paper cites Zheng, W.

Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format Zheng, W

Reference 89

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Pith citing papers

Observation 3c0c1782-be5d-4823-a886-a35b2156b1e9 · inbound

A Mass, Momentum, and Energy Conserving Semi-Lagrangian Adaptive-Rank (SLAR) Method for the Vlasov-Poisson System cites this paper.

A Mass, Momentum, and Energy Conserving Semi-Lagrangian Adaptive-Rank (SLAR) Method for the Vlasov-Poisson System Multilevel Adaptive-Rank Methods for Linear and Nonlinear Systems in the Hierarchical Tucker Format

Reference 84

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local_arxiv, observed 2026-06-30T08:44:27.931890Z

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