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Paper Citation Record · LEDGER

A tensor network approach for chaotic time series prediction

As of 17 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation 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 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:33:31.889891Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:33:32.543630Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact2
  • verified fuzzy44
  • unresolved17
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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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Observation 9182ec51-401b-4940-b422-aa8c79682af1 · outbound

This paper cites & McLean, A.

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

Reference 2

Resolution
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This paper cites an unresolved cited work.

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

Reference 3

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Observation 8cbf8378-b844-4975-b32f-3c3c4bd7816e · outbound

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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Observation 1af44201-e218-4fbf-aabd-c52e69921bed · outbound

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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Observation ece9373e-15e9-4391-93df-f2144346340c · outbound

This paper cites & Ott, E.

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

Reference 8

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Source-reported events for the cited work

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

Reference 10

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Observation e4b37087-f77f-4e64-8907-fcb62dcec8a9 · outbound

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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Observation b270c8ac-00d4-4c24-a99a-6b1f5c0f4f00 · outbound

This paper cites & Ortega, J.-P.

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

Reference 13

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Observation 8ef7e05f-5356-4352-b39c-84215a1cbb83 · outbound

This paper cites & Ortega, J.-P.

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

Reference 14

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Observation 3acaf51a-4a1d-416a-a54b-5d5b21bba361 · outbound

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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Observation d9b3fc8c-bd41-483b-b908-30777d59bf0b · outbound

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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Observation c8c105e0-78df-4b5b-8900-c4d83f13fe9f · outbound

This paper cites & Jaeger, H.

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

Reference 18

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

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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This paper cites & Ortega, J.-P.

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

Reference 21

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

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 Unresolved cited work

Reference 25

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This paper cites J., Bollt, E., Griffith, A.

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

Reference 26

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

Reference 27

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This paper cites J., Fischer, I.

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

Reference 28

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Source-reported events for the cited work

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This paper cites M., Barbosa, W.

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

Reference 29

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Source-reported events for the cited work

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This paper cites M., Barbosa, W.

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

Reference 30

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Source-reported events for the cited work

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

Reference 31

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Observation 264c9f41-2ad8-4df7-a39f-6cfb3402f86f · outbound

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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Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d0717194-d9ed-441a-98e8-b7cb42e724e7 · outbound

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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This paper cites & Favier, G.

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 2026-08-17T06:30:58.91139+00:00.

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Observation 03f5cdc9-48a6-41d7-8f40-69aeb9af2720 · outbound

This paper cites & Bouilloc, T.

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

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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
raw_fallback, observed 2026-08-07T14:45:30.863906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:24.203662Z digest=sha256:42a701f7d893408113b7566f99f68f567d581dfe1d89477daa6c02146e0206d7

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
raw_fallback, observed 2026-08-07T14:45:30.731123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:24.479259Z digest=sha256:e4ebb042d0a4d9bf9c9e73bd5a27a62fc2c075776b995b51b4e61af9a30e03e5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:24.574895Z digest=sha256:fe211d736c2575f4d128f6b4421597348d946b110a5d251216db44a601874b43

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=sha256:09cfa01ea1673e7011e65ecfa317986cbeb358b0e20c748c10a9da2659ba8ff0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:24.768413Z digest=sha256:5179e72b409bb558c40f49fa40998cce919c8c67ff0fe713d0fe1ee4e5245413

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:edabe900ef14664078da0451ca3147ca7c663a247e463e174a2f9ec825508c34

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:24.957956Z digest=sha256:60e9b35e97c51f3bd4ac779cc8143e044a33505bdb1e476ad5cd4bffe87685d4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.030434Z digest=sha256:44c363725e3745086ffc6782c74a52c3b467afe751486d4289dfaf9310ea6a9a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.144934Z digest=sha256:e51feab728904e39f344270affb45e5070ca71c331f366e8be3a98796cd15a39

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.239979Z digest=sha256:7aa2622013e8e8f9f77e657657d6694341889a682ac65b90e5efb90df0c71a23

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.311036Z digest=sha256:18a8b3c3ae590aaa8558e74597b7844781ef3d827bc0942223ac1565ffea4af8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.378622Z digest=sha256:b2ac128b5edd66a05823cc55d6af8249ef949a6a586818435b32d661e028a6e4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.453352Z digest=sha256:e2c189df1baf3a67261fa122347a4c2039a08046ad7d5e2eceb0ec94704095df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.540246Z digest=sha256:2b01f6261abb557822e886d24153c26c2648bc1a6cf8ab2fcc01644c9bfbfb10

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.626791Z digest=sha256:48fdc63f6624c4bae1748d6377016e4df5af9cb332275a55ead73005214f06a0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.682438Z digest=sha256:c6ce410ab15c53aa41752bfeaeeb1897c9505583a874cf2399ae518900243544

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.793914Z digest=sha256:ba615ca48789f589ad938c71d9c19f38aa2a820cc1eecac373ad398617a9472d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.884448Z digest=sha256:76f98cfc12ad673530ac96238e9f1dfbbf069a331532c154d66709f49857788f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:25.956003Z digest=sha256:5c4375e12ecdea13387e8db59ca09b950c6cbfde1a7e319dd73280689efda39a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:26.034377Z digest=sha256:59cb5858ccd93633ea35fdf570143e9a72557f9952de311cb65fbfc2269b814e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:26.118794Z digest=sha256:d73fa457105c0788cd456f7152c9aa5c50a27587c01fcbe7f12d38befec06eba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:26.198703Z digest=sha256:9faa9dd1c6ed7142a187612a83732bbff614cc40e53b7d960065ea0d2bcde24f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:26.292982Z digest=sha256:05c555215a0352f988fa4b15e8fa01b461ce34509f519371744e527801d9a603

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:45:26.364478Z digest=sha256:ea5e1bb75a525ed8de8842d28a2422c5b4c9916edecaaaf552106288809b1791

Pith citing papers

Observation 6bdf81fb-e1b6-4028-9d1a-0181e9e247b7 · inbound

Tree Tensor Network Reservoir Computing: Hierarchical Ensemble with Invariant Phase Boundaries cites this paper.

Tree Tensor Network Reservoir Computing: Hierarchical Ensemble with Invariant Phase Boundaries A tensor network approach for chaotic time series prediction

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:33:32.550112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T15:33:31.889891Z digest=sha256:14810c4241620ff416b8cd2c6fc36a8b792fae275a1b217483f114604faf73b5