Paper Citation Record · LEDGER

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2507.06050.

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

pith.paper-citation-record.v1
2507.06050 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:17:57.817047Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

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 2026-08-06T19:17:56.835972Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:17:58.054684Z

Reference resolution

13 of 13 outbound references displayed

verified exact1
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9794c505-801e-4b0f-91cd-3e56d3fc6060 · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.208573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df39f319-6852-4e1d-9ac7-b192ca96da1a · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.192793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4606214c-4a8b-484c-9de8-b77dfd750e3f · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.178614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5414de0-3669-4548-8efe-a2fd6fa26f64 · outbound

This paper cites Cycle weights are Wi+1,i = r and W1,N = r.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Cycle weights are Wi+1,i = r and W1,N = r

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:58.163936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8d96997-9146-47a5-94fe-5eb33e33aee0 · outbound

This paper cites Nonzero weights are Wi+1,i = r, W1,N = r, and Wi,i = ll.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Nonzero weights are Wi+1,i = r, W1,N = r, and Wi,i = ll

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:58.149168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9cd409cb-84f4-4ce7-8baf-f166f2f94ad7 · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.134159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72ff1d61-1fbd-4c53-8716-ed007a33101b · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.120276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f605bb06-cc5b-4dc2-a72d-b551836939be · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.106291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab82b287-c382-4732-bf7c-d750f8d5aeb9 · outbound

This paper cites an unresolved cited work.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:17:58.092029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c80dd2d1-eba5-47ac-b29a-70e8a00324de · outbound

This paper cites That is, Wi+1,i = r and Wi,i+1 = r, plus the wrap-around connections W1,N = r and WN,1 = r.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics That is, Wi+1,i = r and Wi,i+1 = r, plus the wrap-around connections W1,N = r and WN,1 = r

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:58.076922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db60b1eb-2b5f-489b-9dfd-82e8011c441c · outbound

This paper cites The resulting high-dimensional represen- tations, called states, are then used to train only the output layer, usually through linear regression27.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics The resulting high-dimensional represen- tations, called states, are then used to train only the output layer, usually through linear regression27

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:17:58.223028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b3ce78c-6731-4fa5-a882-0279c9020e30 · outbound

This paper cites Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:17:58.061478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e32fd2f-ffcb-4936-8131-db9d5e81721a · outbound

This paper cites optimization.

Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics optimization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:57.817047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2b3ce78c-6731-4fa5-a882-0279c9020e30 · inbound