Paper Citation Record · LEDGER

Embedding and Approximation Theorems for Echo State Networks

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.05202.

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

pith.paper-citation-record.v1
1908.05202 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:35:46.087477Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

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

18 of 18 outbound references displayed

verified exact2
verified fuzzy11
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f709891-f3e2-4572-8363-4b029eb1da5b · outbound

This paper cites Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM.

Embedding and Approximation Theorems for Echo State Networks Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:46.029397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89313ac9-2014-4336-afef-0174ebf79f39 · outbound

This paper cites (2019), ‘Data-driven reconstruction of nonlinear dynamics from sparse observation’, Journal of Computational Physics 395, 671 –.

Embedding and Approximation Theorems for Echo State Networks (2019), ‘Data-driven reconstruction of nonlinear dynamics from sparse observation’, Journal of Computational Physics 395, 671 –

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.171899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db382cd5-03c7-4cfa-8321-427a36eeb2d6 · outbound

This paper cites R., Girvan, M.

Embedding and Approximation Theorems for Echo State Networks R., Girvan, M

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.238078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fdd5507-4fcf-4c88-b066-cffcfec40292 · outbound

This paper cites G., Arghir, A., Günther, T.

Embedding and Approximation Theorems for Echo State Networks G., Arghir, A., Günther, T

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.228948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2882546-78ac-445d-b4c1-6ac628f8aa16 · outbound

This paper cites Ghrist, R.

Embedding and Approximation Theorems for Echo State Networks Ghrist, R

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.276559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83241698-7b82-40a8-afb5-55a9ea9df3a4 · outbound

This paper cites an unresolved cited work.

Embedding and Approximation Theorems for Echo State Networks Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:35:46.219746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe42d0a7-a10b-4d54-bbfe-e5dc8866e3be · outbound

This paper cites Approximation Bounds for Random Neural Networks and Reservoir Systems.

Embedding and Approximation Theorems for Echo State Networks Approximation Bounds for Random Neural Networks and Reservoir Systems

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:35:46.153402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf46d47c-8a12-4d19-8d4e-2740486ffe1b · outbound

This paper cites & Adams, H.

Embedding and Approximation Theorems for Echo State Networks & Adams, H

Reference 123

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.190353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f54d4132-f4e3-4b7b-ad8f-726801275720 · outbound

This paper cites & Meiss, J.

Embedding and Approximation Theorems for Echo State Networks & Meiss, J

Reference 305

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.285887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fdf142fb-4c7c-481b-baa1-94d4a318871b · outbound

This paper cites B., Nakane, R., Kanazawa, N., Takeda, S., Numata, H., Nakano, D.

Embedding and Approximation Theorems for Echo State Networks B., Nakane, R., Kanazawa, N., Takeda, S., Numata, H., Nakano, D

Reference 366

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.200031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2cb22984-4554-4bbb-85d8-efe7bc37bb32 · outbound

This paper cites Sprott, J.

Embedding and Approximation Theorems for Echo State Networks Sprott, J

Reference 423

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.209740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 600b7839-e8ea-4944-9625-d6614fbc4598 · outbound

This paper cites Tralie, C., Saul, N.

Embedding and Approximation Theorems for Echo State Networks Tralie, C., Saul, N

Reference 432

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.181058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f4898a9-cce0-408a-bfae-48359501e6cf · outbound

This paper cites echo state.

Embedding and Approximation Theorems for Echo State Networks echo state

Reference 501

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.257511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3dbba725-b69d-458d-97c8-d46ecbb5c4e3 · outbound

This paper cites TikZ-network manual.

Embedding and Approximation Theorems for Echo State Networks TikZ-network manual

Reference 508

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:35:46.139762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 724fe289-076e-48db-b3d7-8fbc35b35e24 · outbound

This paper cites & Siew, C.-K.

Embedding and Approximation Theorems for Echo State Networks & Siew, C.-K

Reference 560

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:35:46.267062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 897ab886-4a14-4e62-b1a0-bc7681039f5e · outbound

This paper cites Bayesian optimization of hyper-parameters in reservoir computing.

Embedding and Approximation Theorems for Echo State Networks Bayesian optimization of hyper-parameters in reservoir computing

Reference 689

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:46.087477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6f3236-69c1-4a38-9847-49c989bf147f · outbound

This paper cites Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics.

Embedding and Approximation Theorems for Echo State Networks Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics

Reference 925

Resolution: unresolved; no resolver link, observed 2026-08-14T13:35:46.080942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a061d1e-1e6a-47a3-b630-df4419ff54b9 · outbound

This paper cites an unresolved cited work.

Embedding and Approximation Theorems for Echo State Networks Unresolved cited work

Reference 7317

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:35:46.248222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.