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Paper Citation Record · LEDGER

SeeMPS: A Python-based Matrix Product State and Tensor Train Library

As of 9 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2601.16734.

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

pith.paper-citation-record.v1
2601.16734 v2

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:32:05.907305Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T09:32:57.164803Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier21
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 624e9ade-cddc-4c95-bd89-18e3ac18c6e3 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 1

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Observation c1d96d91-a9e4-47ea-82ae-e17ef4a6e5e5 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 2

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doi, observed 2026-08-03T08:33:33.262249Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 857bd282-7013-42a8-9dfa-a09fd16da2f0 · outbound

This paper cites Schollwöck, The density-matrix renormalization group in the age of matrix product states, Annals of Physics 326 (1) (2011) 96–192.doi:10.1016/j.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Schollwöck, The density-matrix renormalization group in the age of matrix product states, Annals of Physics 326 (1) (2011) 96–192.doi:10.1016/j

Reference 3

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Observation 1af9ee4c-c48c-4ff9-bebd-ff77ae20e660 · outbound

This paper cites Verstraete, D.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Verstraete, D

Reference 4

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source=pdf_text observed=2026-08-03T08:31:58.177887Z digest=sha256:784b6ff058907f46ecf0d614cbc71841080f41108b49d470ed5058108a42d524

Observation 29d40248-2482-4d4b-8f56-dbf44b89e799 · outbound

This paper cites Porras, F.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Porras, F

Reference 5

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Observation 59ba14e5-cbe4-4363-9341-6dd3210c93fc · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 8

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Observation 535abbe4-ef20-4b48-9fd7-4dd8aaabdac2 · outbound

This paper cites Image compression and entanglement.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Image compression and entanglement

Reference 10

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Observation 305f8889-27ad-4ba1-822b-58eb797aebed · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 13

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Observation 9a9ce447-019c-46a4-b7ae-4b0e671fa583 · outbound

This paper cites Gourianov, M.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Gourianov, M

Reference 14

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Observation 6c30b2cf-f2e8-4a33-96bd-df84be75807e · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 15

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Observation 747e19b7-a945-4ccb-a649-b1695a68d6b0 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 16

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Observation 67e6fbec-d7ac-4923-a718-7cb826d31dc7 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 17

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Observation 4cec8474-134f-4dd4-be3f-c719f45ad96f · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 18

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Observation bda8f2b8-f23f-401d-8f4b-4fdbe8e0db23 · outbound

This paper cites García-Molina, L.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library García-Molina, L

Reference 19

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Observation 01fd5a5c-08c6-4822-8908-5cbe36a6c4e2 · outbound

This paper cites Zalka, Simulating quantum systems on a quantum computer, Proc.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Zalka, Simulating quantum systems on a quantum computer, Proc

Reference 20

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Observation 92ce5113-c01f-491d-ad22-55b7c2fdb4d5 · outbound

This paper cites Creating superpositions that correspond to efficiently integrable probability distributions.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Creating superpositions that correspond to efficiently integrable probability distributions

Reference 21

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Observation 43f8c049-e047-4b6c-96c3-7170ddcee213 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 22

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Observation c415615e-8a12-4e67-b7b3-a97b8738a5eb · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c4c5bbb1-d8f6-426d-a607-d2331f794f22 · outbound

This paper cites Multiscale interpolative construction of quantized tensor trains.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Multiscale interpolative construction of quantized tensor trains

Reference 25

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Observation 716207e6-d98e-4d37-804a-140a3c09a04e · outbound

This paper cites Chebyshev approximation and composition of functions in matrix product states for quantum-inspired numerical analysis.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Chebyshev approximation and composition of functions in matrix product states for quantum-inspired numerical analysis

Reference 26

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Observation 9da33d45-185a-4b2c-9c18-e03c20caf9eb · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-03T08:32:00.156896Z digest=sha256:0a4dd1e04d4e25bfea4d47498739ab36a381d5a34bcc526cfe58dd3efe8e0593

Observation decd467a-22b3-495d-906c-576e19d58205 · outbound

This paper cites García-Molina, J.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library García-Molina, J

Reference 28

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Observation 9a00f378-3324-41a1-b936-ea652b214a75 · outbound

This paper cites Oseledets, E.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Oseledets, E

Reference 29

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Observation 8b044465-9728-491f-86b8-e0c6e4c83b95 · outbound

This paper cites Savostyanov, I.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Savostyanov, I

Reference 30

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Observation e9d0eae8-d5d5-4744-9294-9cffef21b296 · outbound

This paper cites Mikhalev, I.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Mikhalev, I

Reference 31

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Observation 24f7c676-68ef-4542-baf5-5f73ff393c07 · outbound

This paper cites Dolgov, D.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Dolgov, D

Reference 32

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Observation 46ec17f9-9b63-4a50-8a3d-2720f12c6771 · outbound

This paper cites Núñez Fernández, M.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Núñez Fernández, M

Reference 33

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Observation 0511aa4c-6d59-4a02-8ab0-bc4bad34a3d4 · outbound

This paper cites Núñez Fernández, M.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Núñez Fernández, M

Reference 34

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Observation 8ce1de19-ad46-4791-ab35-49888acc6961 · outbound

This paper cites Sozykin, A.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Sozykin, A

Reference 35

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Observation d76e7fe2-04ff-49b9-a223-c2ada42551f4 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-03T08:32:00.789774Z digest=sha256:de23556b4b991e4ae40f619de8f942c9a1ce2c089e3e87a15efc0259fed4eedd

Observation b14067cf-f9b2-43a9-80a4-9902ae21c283 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-03T08:32:00.870919Z digest=sha256:0e219ddd61218c86c643547100de49df62afcb34d9848fcd3ffd1510e3d9e8ef

Observation cd30a884-ca2a-4ae4-b88b-1d72a1fa0fc5 · outbound

This paper cites Schollwöck, The density-matrix renormalization group, Rev.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Schollwöck, The density-matrix renormalization group, Rev

Reference 38

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Observation 1526f7b7-e1d7-4d5f-b23d-18e49802e1a6 · outbound

This paper cites Dukelsky, M.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Dukelsky, M

Reference 40

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Observation 990cb142-f382-433f-939b-e683fc0ee7c3 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 41

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Observation bf888770-e308-4f73-9c92-ca4a12276412 · outbound

This paper cites Anomaly Detection with Tensor Networks.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Anomaly Detection with Tensor Networks

Reference 42

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Observation 2c5db24d-bb53-472b-8680-5ebd402632bb · outbound

This paper cites Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning

Reference 43

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Observation 243411f0-d14b-428c-9939-ade018d6ccf4 · outbound

This paper cites Pollock, L.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Pollock, L

Reference 44

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Observation b2a3f018-7c30-43ec-99ae-b3fc8f1ff4cb · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 45

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Observation 77b52f25-dffc-410c-8ce9-7b48265d2a66 · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 46

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Observation ac42c365-1b7b-40fa-9f0b-c40cf14d1bcb · outbound

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Reference 47

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Observation fc82ea38-cf22-4c47-9990-753d1894cfe9 · outbound

This paper cites An approximate Fourier transform useful in quantum factoring.

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Reference 48

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Observation 4334436e-a96d-449d-a8a2-1dd045f11e4d · outbound

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Reference 49

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Observation 08ef0b99-8b50-453d-97bc-d8c9667ba707 · outbound

This paper cites Jobst, K.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Jobst, K

Reference 50

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Observation 38fcb3b9-ed6b-45f8-9232-f9bf78dce84b · outbound

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Reference 51

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source=pdf_text observed=2026-08-03T08:32:01.956455Z digest=sha256:00d947b6028576491cdc00b03384a1830257c6d1ce3366dcd8bf77e79dbb94ad

Observation 89e10f09-ebd9-4efe-b8e8-22600a74aca7 · outbound

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Reference 52

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source=pdf_text observed=2026-08-03T08:32:02.040607Z digest=sha256:bc54629d96968f2fa1c7f02c74659ea7d582747d9e3a6fe25e3ef124effe834e

Observation 7592bb7f-5859-48a6-abe5-b239b40eb894 · outbound

This paper cites Driscoll, N.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Driscoll, N

Reference 53

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Observation 09f6c2ec-cdbd-41d8-b6c1-ff48d9a45333 · outbound

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Reference 54

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source=pdf_text observed=2026-08-03T08:32:02.282377Z digest=sha256:84d89d36b8e9e60b4e5226d9c67a1110c9a52311776ba24e96ede6c2ef4a67ae

Observation 4533bcd4-dea0-4a62-a7e3-287eb3cdaa9e · outbound

This paper cites Nyquist, Certain Topics in Telegraph Transmis- sion Theory, Transactions of the American Insti- tute of Electrical Engineers 47 (2) (1928) 617–644.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Nyquist, Certain Topics in Telegraph Transmis- sion Theory, Transactions of the American Insti- tute of Electrical Engineers 47 (2) (1928) 617–644

Reference 55

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source=pdf_text observed=2026-08-03T08:32:02.350764Z digest=sha256:b49fd0ef977f75d4a9ee8b75a66ee81ac646586b25bf4e30026926ed18e42d41

Observation e59356b9-64d4-4048-bb5f-4d29224e6c6e · outbound

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Reference 56

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source=pdf_text observed=2026-08-03T08:32:02.397109Z digest=sha256:d3cc1cfe33820b60780703566f815a29d9249f83a32e5adced7cd25795f31adf

Observation 013bf5ae-edbf-4969-9701-7864bd46c11a · outbound

This paper cites Goreinov, E.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Goreinov, E

Reference 57

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source=pdf_text observed=2026-08-03T08:32:02.469986Z digest=sha256:f2f0802c37b2310b5fc17143f0b873c822b815d179f373e65766631229e80418

Observation 91322fea-5008-430e-9dd3-792446892556 · outbound

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Reference 58

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source=pdf_text observed=2026-08-03T08:32:02.582267Z digest=sha256:635714f16de32486c860df2fd50bced78c57fa5effd9023957f7e5a4ce82f4a1

Observation 69e98c51-a733-4feb-87e8-ddafb45d7b9b · outbound

This paper cites Bigoni, A.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Bigoni, A

Reference 59

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Observation b30143c2-670b-42d0-8f05-6f031d5ae61e · outbound

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Reference 60

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Observation 187939f2-0b39-482f-b6ff-f85df233d05f · outbound

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Reference 61

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source=pdf_text observed=2026-08-03T08:32:02.901981Z digest=sha256:d546d55d9d99d05aea894404a01e0f94b84beec66234db24f1c51a22386f6bdf

Observation d4a75396-b348-49f7-ae49-8d1def571437 · outbound

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SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-03T08:32:03.045348Z digest=sha256:38a375749365d6521afdcd88fb86d03d55b7ac62d1450b257c29f4b6f07ccb3c

Observation 84c7aa73-ee42-4967-915e-80e85fcd8cdc · outbound

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Reference 63

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source=pdf_text observed=2026-08-03T08:32:03.160363Z digest=sha256:fa9078c1469052ba3ad5e6c071124779c2c862eb4233a5fa850d689f8165d6fd

Observation 1ee20a7e-e89f-453f-800f-a28691956a46 · outbound

This paper cites Constructive TT-representation of the tensors given as index interaction functions with applications.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Constructive TT-representation of the tensors given as index interaction functions with applications

Reference 64

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source=pdf_text observed=2026-08-03T08:32:03.276609Z digest=sha256:a3dcea51a56f380f2598146659920fb9112cd4d07406f1a418ecfa3b975b1b01

Observation 6a51d86a-967f-4dd1-a6d6-ec72b3dc50de · outbound

This paper cites Holoborodko, Smooth noise-robust differentiators (2008).

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Holoborodko, Smooth noise-robust differentiators (2008)

Reference 65

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Observation 00f62273-ed4e-47ab-afea-fa9a16ece998 · outbound

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Reference 66

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source=pdf_text observed=2026-08-03T08:32:03.649678Z digest=sha256:2354d8b5d801b681e35413dd2e51afde90c52193ba769db1c091fd0acd71cc60

Observation 1b487b6e-35b2-4ce7-a49a-539ce1358391 · outbound

This paper cites Haegeman, C.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Haegeman, C

Reference 67

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source=pdf_text observed=2026-08-03T08:32:03.806606Z digest=sha256:1fdabe36f78c016510f16c187996f9c08ba4da12aa9710362d5cec50c29e7653

Observation 634849cd-dcaa-4702-a00c-1f20deca130c · outbound

This paper cites Vidal, Efficient Classical Simulation of Slightly Entangled Quantum Computations, Phys.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Vidal, Efficient Classical Simulation of Slightly Entangled Quantum Computations, Phys

Reference 68

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source=pdf_text observed=2026-08-03T08:32:03.973302Z digest=sha256:663552e37ba376c45ceda13308c94a278bd7bea7ac1aad1e4a30ddd27a2cab4f

Observation b791092b-7a6c-4d07-bd28-4a0980562c75 · outbound

This paper cites Díez-Valle, D.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Díez-Valle, D

Reference 69

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source=pdf_text observed=2026-08-03T08:32:04.041396Z digest=sha256:b9af0d5c85533d1ef7e313243e9af9b6d5c42e5846d0956c53157bcc828b66c8

Observation 8d716aa5-7b69-4d38-af6b-3db0772e395e · outbound

This paper cites Díez-Valle, F.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Díez-Valle, F

Reference 70

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source=pdf_text observed=2026-08-03T08:32:04.148920Z digest=sha256:81f23801cf0a0fe060ba22a380514a730696215d85806d1f4e02e4aca3ea086f

Observation c972fcea-deb7-4150-adf7-d65855f70990 · outbound

This paper cites Bharti, A.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Bharti, A

Reference 71

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source=pdf_text observed=2026-08-03T08:32:04.277405Z digest=sha256:6457ed02f40fbf936bbe26ca80a00eb401b0058ba976b33bbe5787f5c401c629

Observation 59d67e7a-f6b3-4441-aa0a-6ff90fb166d8 · outbound

This paper cites Tilly, H.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Tilly, H

Reference 72

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Observation 1bf59d6b-f209-4180-86f0-21355591fcc4 · outbound

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Reference 75

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source=pdf_text observed=2026-08-03T08:32:04.507974Z digest=sha256:4f1b269c473ab21a3e543f33d53564bdaf1fb5fb68a08b953eb3a0b72fd2094c

Observation a6ff62bf-4cd7-4ee6-a8d8-252253a1b872 · outbound

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SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-03T08:32:04.716047Z digest=sha256:829856b3d6773f2fc3dec171eadc7b911d176d108b48296755c97590a8110ceb

Observation dc1bb163-3543-4f04-a3b3-a9b1ffdaa922 · outbound

This paper cites Feiguin, J.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Feiguin, J

Reference 78

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source=pdf_text observed=2026-08-03T08:32:05.052164Z digest=sha256:fa2b3bbc95f82041fb49388acdad6318faf41e7b72392ea8e5a5b3cf6c627720

Observation 8ef2d037-a2c5-4939-a262-4241a06491e2 · outbound

This paper cites Fishman, S.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Fishman, S

Reference 79

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source=pdf_text observed=2026-08-03T08:32:05.251643Z digest=sha256:2c50013f5b3e85688d39feb37819fc0fe911f22e0b4a0b85c370b3a85e481681

Observation 9e93a0ec-6a9a-42d5-8ad8-3b1d1eb21f98 · outbound

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SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 80

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source=pdf_text observed=2026-08-03T08:32:05.469513Z digest=sha256:4a1a47f58a29766724e27e18f8136c42a7041c5363070ebc3b6a572d8efe9cff

Observation fb7084c6-ca6f-433e-9226-d9ed6daf0dcd · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-03T08:32:05.504009Z digest=sha256:154a6228360059b57ab0073873d5308d73951ab8dee716d4e2ef19a335dda155

Observation 5920a1ed-566d-4cfa-ae76-6f492905c8d2 · outbound

This paper cites TensorNetwork: A Library for Physics and Machine Learning.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library TensorNetwork: A Library for Physics and Machine Learning

Reference 82

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source=pdf_text observed=2026-08-03T08:32:05.555683Z digest=sha256:5f04469f4287f2a8778bb85d4b499957dd9d085a38245a8bf8823a087d0bfef9

Observation f38dbff7-b404-41bd-826e-4481e3901103 · outbound

This paper cites Gray, quimb: a python library for quantum in- formation and many-body calculations, Journal of Open Source Software 3 (29) (2018) 819.doi: 10.21105/joss.00819.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Gray, quimb: a python library for quantum in- formation and many-body calculations, Journal of Open Source Software 3 (29) (2018) 819.doi: 10.21105/joss.00819

Reference 83

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source=pdf_text observed=2026-08-03T08:32:05.611708Z digest=sha256:18b5d73eff36f38b647f0bb0e446d3c7d9efeee1192f2764403c03dd921a6d97

Observation e9fae92c-81ff-4ed7-8dcb-e2df15533eba · outbound

This paper cites Hauschild, F.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Hauschild, F

Reference 84

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source=pdf_text observed=2026-08-03T08:32:05.657419Z digest=sha256:596b3ae51896d990f9fb521cb942a5dcc2c58bf69efa7d814f83b41fb8270aa6

Observation 20edd4ee-f7e0-46e1-8d93-b636b8d60035 · outbound

This paper cites Van Damme, L.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Van Damme, L

Reference 85

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source=pdf_text observed=2026-08-03T08:32:05.698630Z digest=sha256:3b1c9de8a493729f31732812e6dfcdbdb6234b253f6f8fe7e10ac7a790b8f5f3

Observation 58045dec-ca3b-40e8-801f-ab3335a2db6f · outbound

This paper cites Oseledets, Tt-toolbox,https://github.com/o seledets/TT-Toolbox, gitHub repository (2026).

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Oseledets, Tt-toolbox,https://github.com/o seledets/TT-Toolbox, gitHub repository (2026)

Reference 86

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source=pdf_text observed=2026-08-03T08:32:05.753913Z digest=sha256:760e13966ac165e060e118acc6b7550d4a0f0681d4d6b329ddefd0824a286222

Observation 5370f3cc-5c40-4f1a-9629-c92e0c8440e8 · outbound

This paper cites Chertkov, G.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Chertkov, G

Reference 87

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source=pdf_text observed=2026-08-03T08:32:05.791349Z digest=sha256:f7afd87c614e555c84e3a3638e61a4e0f68a44c847f2cf9aae9e09cb5e586406

Observation 9d636a46-bf76-432d-9b4f-6b6575acab1d · outbound

This paper cites an unresolved cited work.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-03T08:32:05.850267Z digest=sha256:f8334a9478563a4ad73915d2aa5133e7f356a826af77bc385e843bb32dcad4e0

Observation 120dbe7e-07ef-4f62-94d4-1e930bf73942 · outbound

This paper cites Sehlstedt, J.

SeeMPS: A Python-based Matrix Product State and Tensor Train Library Sehlstedt, J

Reference 89

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source=pdf_text observed=2026-08-03T08:32:05.907305Z digest=sha256:387d7cd097b77a636df1f577b37da542740d86dcb6a667bcfca6cc52e7dfd575

Pith citing papers

Observation fb7d3fdc-c856-4e5b-aed6-f916df1017e7 · inbound

Performance Benchmarking: Software for the Density Matrix Renormalization Group cites this paper.

Performance Benchmarking: Software for the Density Matrix Renormalization Group SeeMPS: A Python-based Matrix Product State and Tensor Train Library

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-07-31T09:36:37.824744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-31T09:32:57.164803Z digest=sha256:034dc438d787d8931eecc38946bb4ea95573a1e1e0450207553e8edb26eab0cc