Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:17:57.817047Z
Paper Citation Record · LEDGER
Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics
As of 18 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:17:56.835972Z
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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamics cites this paper.
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 2026-08-17T06:30:58.91139+00:00.