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Paper Citation Record · LEDGER

A tensor network approach for chaotic time series prediction

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2505.17740.

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

pith.paper-citation-record.v1
2505.17740 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:26.364478Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d5fb66e-acfc-4395-ac59-74783c33ab0d · outbound

This paper cites & Palmer, T.

A tensor network approach for chaotic time series prediction & Palmer, T

Reference 1

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This paper cites & McLean, A.

A tensor network approach for chaotic time series prediction & McLean, A

Reference 2

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A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 3

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This paper cites Reservoir kernels and Volterra series.

A tensor network approach for chaotic time series prediction Reservoir kernels and Volterra series

Reference 4

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This paper cites Infinite-dimensional next-generation reservoir computing.

A tensor network approach for chaotic time series prediction Infinite-dimensional next-generation reservoir computing

Reference 5

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Observation c23dd3cf-ebc3-4281-8c2b-8b948c1a078f · outbound

This paper cites R., Byeon, W., Wan, Z.

A tensor network approach for chaotic time series prediction R., Byeon, W., Wan, Z

Reference 6

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This paper cites Model scale versus domain knowledge in statistical forecasting of chaotic systems.

A tensor network approach for chaotic time series prediction Model scale versus domain knowledge in statistical forecasting of chaotic systems

Reference 7

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This paper cites & Ott, E.

A tensor network approach for chaotic time series prediction & Ott, E

Reference 8

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This paper cites & Gauthier, D.

A tensor network approach for chaotic time series prediction & Gauthier, D

Reference 9

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Reference 10

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This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 11

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This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 12

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This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 13

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This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 14

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This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 15

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Observation aa842488-6c0c-4a58-800f-f95382ef53af · outbound

This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 16

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This paper cites Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach, vol.

A tensor network approach for chaotic time series prediction Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach, vol

Reference 17

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A tensor network approach for chaotic time series prediction & Jaeger, H

Reference 18

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Reference 19

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This paper cites A., Penny, S.

A tensor network approach for chaotic time series prediction A., Penny, S

Reference 20

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A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 21

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Reference 22

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This paper cites Physical reservoir computing—an introductory perspective.

A tensor network approach for chaotic time series prediction Physical reservoir computing—an introductory perspective

Reference 23

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A tensor network approach for chaotic time series prediction & Fischer, I

Reference 24

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A tensor network approach for chaotic time series prediction J., Bollt, E., Griffith, A

Reference 26

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Reference 27

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A tensor network approach for chaotic time series prediction J., Fischer, I

Reference 28

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A tensor network approach for chaotic time series prediction M., Barbosa, W

Reference 29

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A tensor network approach for chaotic time series prediction M., Barbosa, W

Reference 30

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A tensor network approach for chaotic time series prediction & Chua, L

Reference 31

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This paper cites & Ortega, J.-P.

A tensor network approach for chaotic time series prediction & Ortega, J.-P

Reference 32

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Source-reported events for the cited work

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A tensor network approach for chaotic time series prediction & Wong, N

Reference 33

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This paper cites Enforcing symmetry in tensor network mimo volterra identification.

A tensor network approach for chaotic time series prediction Enforcing symmetry in tensor network mimo volterra identification

Reference 34

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Source-reported events for the cited work

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This paper cites A khatri-rao product tensor network for efficient symmetric mimo volterra identification.

A tensor network approach for chaotic time series prediction A khatri-rao product tensor network for efficient symmetric mimo volterra identification

Reference 35

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Source-reported events for the cited work

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A tensor network approach for chaotic time series prediction & Favier, G

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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This paper cites & Bouilloc, T.

A tensor network approach for chaotic time series prediction & Bouilloc, T

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b14fa33d-6b3b-4e83-925a-f380047c1050 · outbound

This paper cites & Kibangou, A.

A tensor network approach for chaotic time series prediction & Kibangou, A

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dbe516c8-795b-4a05-9bc9-1661e2413db2 · outbound

This paper cites Tensor networks for complex quantum systems.

A tensor network approach for chaotic time series prediction Tensor networks for complex quantum systems

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 50d11b83-a2f3-476d-94dc-10dcae052e64 · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:30.527941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d2b685f1-28ff-4d6f-82d4-3c8ff985a9d7 · outbound

This paper cites & Schwab, D.

A tensor network approach for chaotic time series prediction & Schwab, D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:30.402439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9e7845ee-909b-4afe-88b3-d912b3146b75 · outbound

This paper cites & Zhang, P.

A tensor network approach for chaotic time series prediction & Zhang, P

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c98da014-1a11-4328-b6bc-c1dce0cb6e87 · outbound

This paper cites CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks.

A tensor network approach for chaotic time series prediction CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:24.657505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:24.657505Z digest=sha256:8ab4c55c95eb1e66b8f8265a5c28df74021839b1f40ccac209d85b185aa3dac1

Observation 4251615e-d8b0-426a-818a-32d0cfdce7a6 · outbound

This paper cites Low-rank tensor decompositions for nonlinear system identification: A tutorial with examples.

A tensor network approach for chaotic time series prediction Low-rank tensor decompositions for nonlinear system identification: A tutorial with examples

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:29.911262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2f50e34e-a4cc-4886-afe6-442a511f09db · outbound

This paper cites Chaos as an interpretable benchmark for forecasting and data-driven modelling.

A tensor network approach for chaotic time series prediction Chaos as an interpretable benchmark for forecasting and data-driven modelling

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:24.861046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:24.861046Z digest=sha256:8b192d4436851f7964c88f69bab84aee4b2f547dcdd3e72a003333b5f93ba867

Observation eacad623-06d6-49df-8e2a-a73e8e6288b4 · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:29.729026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0d4e2772-937b-4fe6-9e7f-2d8dfdd0371a · outbound

This paper cites A singularly valuable decomposition: the svd of a matrix.

A tensor network approach for chaotic time series prediction A singularly valuable decomposition: the svd of a matrix

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:29.558230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e698473f-6fd6-4932-abb5-e4d98b02ebeb · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:29.418691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ccb63091-a0a8-4e5d-a16d-4b73a82ae5df · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:29.247558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23324721-5f8b-4a05-8ffa-354989205506 · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:29.062475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7117db12-8d80-49af-a13c-9d9029df50df · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:28.953341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4f96147c-71e8-428a-8eb1-f63f4ade934a · outbound

This paper cites & Vidal, G.

A tensor network approach for chaotic time series prediction & Vidal, G

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:28.761697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e4013ae4-22b0-4fe5-83f9-179328cda69d · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:28.623333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 67eb0f38-d1cd-46ff-a766-3fe0ae1ac001 · outbound

This paper cites & Wong, N.

A tensor network approach for chaotic time series prediction & Wong, N

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:28.471702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1303edc9-5d4f-4eef-8850-585a0cf8f605 · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:28.349901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e37db673-c13c-46e4-9db7-d34d070fc2cb · outbound

This paper cites & Favier, G.

A tensor network approach for chaotic time series prediction & Favier, G

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:28.185689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:25.793914Z digest=sha256:b607475dfa5e34f1d8330003980fc30c1178d53e43e33c370c369ecdcadd2a88

Observation c1f73a93-8668-4ea4-bbe7-51de83f6164a · outbound

This paper cites & Batselier, K.

A tensor network approach for chaotic time series prediction & Batselier, K

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:28.025051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:25.884448Z digest=sha256:87ceb11dae3546df0d2616575b7c7ccdae60ecd4bd989b2b57554a95c299225f

Observation 33150818-1558-43f5-8006-4651b22ba903 · outbound

This paper cites echo state.

A tensor network approach for chaotic time series prediction echo state

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:27.842540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:25.956003Z digest=sha256:9cce73b22825a4572b233546ea3120846bd5f56464006547eab4f8abcbc98b7e

Observation 31c53fa0-3335-4cfb-ace7-44c9c65d51d5 · outbound

This paper cites A., Zhang, L., Nicolaou, Z.

A tensor network approach for chaotic time series prediction A., Zhang, L., Nicolaou, Z

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:27.674964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:26.034377Z digest=sha256:15eb7b8541b05126f5e66e1ae8be9346c24217e253bab4d679aa8ec8315bbef7

Observation aacb0016-5ff1-485e-8018-3e3006c0f7e4 · outbound

This paper cites & Chitre, M.

A tensor network approach for chaotic time series prediction & Chitre, M

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:27.501246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:26.118794Z digest=sha256:d87291e864577d97aa9af08390ad134d9242aa387644d5264ce3596af6911090

Observation 31fd6a05-7a70-4fb1-a58a-daf9aaa81f2c · outbound

This paper cites an unresolved cited work.

A tensor network approach for chaotic time series prediction Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:45:27.326019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:26.198703Z digest=sha256:d58c20b0c7f8c3d2c00f33a141f6db463fa21cc1ced283ac9ea4298888849daf

Observation 40a4c243-8acb-46a5-a452-1851cadb2b4e · outbound

This paper cites & Wong, N.

A tensor network approach for chaotic time series prediction & Wong, N

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:27.125538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:26.292982Z digest=sha256:bace277b1249d0948c38d8996c3462d128e2c28999ec51a56fb879ae8fef3341

Observation a1ff5c85-d996-4b69-9dff-78aa86a89c03 · outbound

This paper cites L., Proctor, J.

A tensor network approach for chaotic time series prediction L., Proctor, J

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:45:26.974167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:45:26.364478Z digest=sha256:7b175fe6d6a21d5dba6f7dcbb1fc15671eee623f2e4703a04102e43071c5a4ae

Pith citing papers

No inbound Pith citation observations are available.