Paper Citation Record · LEDGER

Numerical Optimization for Tensor Disentanglement

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2508.19409.

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

pith.paper-citation-record.v1
2508.19409 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:57:47.144453Z

measured 55 of 55 standing notices

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:29:14.042513Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

verified exact12
verified fuzzy10
unresolved29
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External citation measurements

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Outbound references

Observation 8c8e40fe-a33b-4eef-a6c4-e2e97463e7c5 · outbound

This paper cites , Verstraete , F.

Numerical Optimization for Tensor Disentanglement , Verstraete , F

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:57:47.705809Z

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Observation 1b56c87f-0ebb-49de-95bf-3c194a2c0034 · outbound

This paper cites : Tensor-train decomposition.

Numerical Optimization for Tensor Disentanglement : Tensor-train decomposition

Reference 2

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Observation c69f25e8-7db7-4f6f-86ff-e161f1d9dd86 · outbound

This paper cites : A practical introduction to tensor networks: Matrix product states and projected entangled pair states.

Numerical Optimization for Tensor Disentanglement : A practical introduction to tensor networks: Matrix product states and projected entangled pair states

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:46.986449Z

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Observation 0525df00-5ecc-48a2-8ff4-cad22f663e01 · outbound

This paper cites , P \'e rez-Garc \'i a , D.

Numerical Optimization for Tensor Disentanglement , P \'e rez-Garc \'i a , D

Reference 4

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Observation 72a01b81-3435-45c1-9830-b20eebb59f70 · outbound

This paper cites : Class of quantum many-body states that can be efficiently simulated.

Numerical Optimization for Tensor Disentanglement : Class of quantum many-body states that can be efficiently simulated

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:46.993181Z

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Observation 2c58dc9a-90e8-4efd-8c9c-69370a2bcc86 · outbound

This paper cites , Vidal , G.

Numerical Optimization for Tensor Disentanglement , Vidal , G

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:46.996417Z

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Observation 4dfd880c-0c3f-4076-9c16-3f89b012300f · outbound

This paper cites , Bader , B.W.

Numerical Optimization for Tensor Disentanglement , Bader , B.W

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:46.999811Z

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Observation 231b2b80-b1be-466d-80c7-24d8c54a24f4 · outbound

This paper cites , Vandereycken , B.

Numerical Optimization for Tensor Disentanglement , Vandereycken , B

Reference 8

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Observation d915e8e8-7495-43fd-bbbb-55f07943d5e9 · outbound

This paper cites : Tensor networks for complex quantum systems.

Numerical Optimization for Tensor Disentanglement : Tensor networks for complex quantum systems

Reference 9

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Observation 313ebc1f-3748-4da2-ad4b-5f6ebd676524 · outbound

This paper cites , Schneider , R.

Numerical Optimization for Tensor Disentanglement , Schneider , R

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:47.008971Z

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Observation 29c5e4b2-49de-4b49-b1e0-e4a54bd1dea1 · outbound

This paper cites , Rodgers , A.

Numerical Optimization for Tensor Disentanglement , Rodgers , A

Reference 11

Resolution: verified exact; doi, observed 2026-08-05T15:57:47.380382Z

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Observation e3d25f0c-5af7-4b69-821e-c39a17990a4f · outbound

This paper cites Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems.

Numerical Optimization for Tensor Disentanglement Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:47.015338Z

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Observation 2fb2a13e-7e69-4255-99cd-a032d6fef097 · outbound

This paper cites : Learning relevant features of data with multi-scale tensor networks.

Numerical Optimization for Tensor Disentanglement : Learning relevant features of data with multi-scale tensor networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:57:47.018575Z

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Observation 274712d8-8963-4c75-a6fe-7a13496b9140 · outbound

This paper cites , Schotth \"o fer , S.

Numerical Optimization for Tensor Disentanglement , Schotth \"o fer , S

Reference 14

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Observation 6ae57bbb-1b2e-46f2-ab44-3a228bde3912 · outbound

This paper cites : The density-matrix renormalization group in the age of matrix product states.

Numerical Optimization for Tensor Disentanglement : The density-matrix renormalization group in the age of matrix product states

Reference 15

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Observation 26529ca4-eea2-40d2-a4f3-4f9761eb0cf7 · outbound

This paper cites , Vidal , G.

Numerical Optimization for Tensor Disentanglement , Vidal , G

Reference 16

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Observation 95dcd306-96eb-428a-9ad5-38898debabad · outbound

This paper cites , Vidal , G.

Numerical Optimization for Tensor Disentanglement , Vidal , G

Reference 17

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Observation 376a0ab8-b472-46a1-bb50-c704b4ae592e · outbound

This paper cites , Bardarson , J.H.

Numerical Optimization for Tensor Disentanglement , Bardarson , J.H

Reference 18

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Observation b326632c-5172-4179-a55e-04048d1ea35f · outbound

This paper cites , Leviatan , E.

Numerical Optimization for Tensor Disentanglement , Leviatan , E

Reference 19

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Observation a32c60a8-2050-4edb-b9ad-c1d7e1b1702d · outbound

This paper cites , Pollmann , F.

Numerical Optimization for Tensor Disentanglement , Pollmann , F

Reference 20

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Observation 8e05aa28-750f-4052-8116-ec231429fa0f · outbound

This paper cites , Zaletel , M.P.

Numerical Optimization for Tensor Disentanglement , Zaletel , M.P

Reference 21

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Observation 0b8342a5-0a4e-4461-9768-a6b005f1a7b8 · outbound

This paper cites Diagonal Isometric Form for Tensor Network States in Two Dimensions.

Numerical Optimization for Tensor Disentanglement Diagonal Isometric Form for Tensor Network States in Two Dimensions

Reference 22

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Observation f105b3c0-6686-41bb-9679-70eeef963f01 · outbound

This paper cites : Fast Tensor Disentangling Algorithm.

Numerical Optimization for Tensor Disentanglement : Fast Tensor Disentangling Algorithm

Reference 23

Resolution: verified exact; doi, observed 2026-08-05T15:57:47.315498Z

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Observation 51c8c5c5-7f83-476b-8693-bb65c0486535 · outbound

This paper cites Quantum Large Language Models via Tensor Network Disentanglers.

Numerical Optimization for Tensor Disentanglement Quantum Large Language Models via Tensor Network Disentanglers

Reference 24

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Observation e8da28a7-8eb9-468d-816e-47fc0f3d7193 · outbound

This paper cites , Veis , L.

Numerical Optimization for Tensor Disentanglement , Veis , L

Reference 25

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Observation 9639d44b-9e64-4b5e-8174-f0bcdcb156b5 · outbound

This paper cites , Venturi , D.

Numerical Optimization for Tensor Disentanglement , Venturi , D

Reference 26

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Observation 65f2b737-0e8a-4a7f-8574-fe7c55dc615c · outbound

This paper cites , Venturi , D.

Numerical Optimization for Tensor Disentanglement , Venturi , D

Reference 27

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Observation 998ab6fc-a3dd-41af-aa16-56fe0b497f5b · outbound

This paper cites , Van Damme , M.

Numerical Optimization for Tensor Disentanglement , Van Damme , M

Reference 28

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Observation 202653f4-d250-455b-8e24-6d4d81f3abde · outbound

This paper cites , Ryzhov , A.

Numerical Optimization for Tensor Disentanglement , Ryzhov , A

Reference 29

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Observation 3452bc02-08dc-4494-8820-1ff9123fc5af · outbound

This paper cites , Chuang , I.L.

Numerical Optimization for Tensor Disentanglement , Chuang , I.L

Reference 30

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Observation 04ec2c6c-4fb6-4eda-b0f5-9eef9a0cdefa · outbound

This paper cites , Cirac , J.I.

Numerical Optimization for Tensor Disentanglement , Cirac , J.I

Reference 31

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Observation aa9f986a-70bc-48a0-a00f-0ab9183aca63 · outbound

This paper cites , Fazel , M.

Numerical Optimization for Tensor Disentanglement , Fazel , M

Reference 32

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Observation c9d1a508-47a0-4888-87c3-02c1da6207e8 · outbound

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Numerical Optimization for Tensor Disentanglement , Tang , J

Reference 33

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Observation 2553a4d8-86b0-486e-b21f-f54fae685d05 · outbound

This paper cites , Sendov , H.S.

Numerical Optimization for Tensor Disentanglement , Sendov , H.S

Reference 34

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Observation 0699e660-e17f-4484-a8f3-28b0b354dae2 · outbound

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Numerical Optimization for Tensor Disentanglement o wner , K. : \

Reference 35

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Observation 31b78648-7903-4ae4-9ecf-62d0b8b2a6d5 · outbound

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Numerical Optimization for Tensor Disentanglement , Sun , D

Reference 36

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Observation 9deccf6e-cfb0-4031-9556-4fdfef5f72cf · outbound

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Numerical Optimization for Tensor Disentanglement , Sendov , H.S

Reference 37

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Observation fb4b7ccb-c5e2-42f5-affe-24c035adc5b4 · outbound

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Numerical Optimization for Tensor Disentanglement , Mahony , R

Reference 38

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This paper cites : An Introduction to Optimization on Smooth Manifolds.

Numerical Optimization for Tensor Disentanglement : An Introduction to Optimization on Smooth Manifolds

Reference 39

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Observation 24c41ed5-dac6-4201-902d-e9bb453ce8dc · outbound

This paper cites : Development of a diagonal isometric tensor network algorithm.

Numerical Optimization for Tensor Disentanglement : Development of a diagonal isometric tensor network algorithm

Reference 40

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Observation f94df7b1-588b-4519-9fcd-6c02dd5cffbf · outbound

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Numerical Optimization for Tensor Disentanglement : Differentiating the Singular Value Decomposition

Reference 41

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This paper cites : Riemannian conjugate gradient methods: General framework and specific algorithms with convergence analyses.

Numerical Optimization for Tensor Disentanglement : Riemannian conjugate gradient methods: General framework and specific algorithms with convergence analyses

Reference 42

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Observation e0e719c3-0048-4754-854a-67ce368b5805 · outbound

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Numerical Optimization for Tensor Disentanglement , Reeves , C.M

Reference 43

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Observation 286f76b3-2020-470f-99a5-766e40bad1b1 · outbound

This paper cites , Ribi \`e re , G.

Numerical Optimization for Tensor Disentanglement , Ribi \`e re , G

Reference 44

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Observation db5548a6-b5ee-4ab0-a684-a6b025d5076f · outbound

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Numerical Optimization for Tensor Disentanglement : The conjugate gradient method in extremal problems

Reference 45

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Observation 24bac202-f312-4a65-94bc-9332f79db2fd · outbound

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Numerical Optimization for Tensor Disentanglement , Stiefel , E

Reference 46

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Observation 315f71cd-f33d-486b-8565-faa403bef705 · outbound

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Numerical Optimization for Tensor Disentanglement , Yuan , Y

Reference 47

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Numerical Optimization for Tensor Disentanglement , Storey , C

Reference 48

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Numerical Optimization for Tensor Disentanglement , Gould , N.I.M

Reference 49

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Numerical Optimization for Tensor Disentanglement : The conjugate gradient method and trust regions in large scale optimization

Reference 50

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Observation 2362fafb-157f-4d2e-999f-e53f7358131f · outbound

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Numerical Optimization for Tensor Disentanglement , Cattell , R.B

Reference 51

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Observation f935bd4d-4e2e-4d2e-9521-702383a30eb5 · outbound

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Numerical Optimization for Tensor Disentanglement , Karaman , S

Reference 52

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Observation 56fe9c48-9887-447c-bdcf-fb30ed663327 · outbound

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Numerical Optimization for Tensor Disentanglement , Koep , N

Reference 53

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Observation 85b2ff7b-f1ee-4454-b8aa-c83c0151b318 · outbound

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Numerical Optimization for Tensor Disentanglement write newline

Reference 54

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Pith citing papers

Observation d2b691be-64c7-4cd9-a447-d1f5cdcf42cb · inbound

Sampling two-dimensional isometric tensor network states cites this paper.

Sampling two-dimensional isometric tensor network states Numerical Optimization for Tensor Disentanglement

Reference 17

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