Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.04004.
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 2026-08-10T20:39:10.360829Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:32:10.909248Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c1279eb2-aa05-4811-9759-fb806669948e · inbound
Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim cites this paper.
Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:39:10.360829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3905e1c6-c023-439a-abfb-1f26e81184fe · inbound
Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines cites this paper.
Data-Driven Modeling Approaches for Optimal Control and Control Co-Design of Floating Offshore Wind Turbines Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:37:52.583009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3557457-e065-4249-81c7-04846b5f9a90 · inbound
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems cites this paper.
An Agentic AI Workflow to Simplify Parameter Estimation of Complex Differential Equation Systems Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:32:10.921856Z
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.