Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comments on "Momentum fractional LMS for power signal parameter estimation"
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.07640.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:33.185056Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T12:55:35.337585Z
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 b10f345b-ee75-4947-b274-4724739ee9cf · inbound
Spatio-Temporal RBF Neural Networks cites this paper.
Spatio-Temporal RBF Neural Networks Comments on "Momentum fractional LMS for power signal parameter estimation"
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:20:33.185056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5815b119-6872-4b73-9bfd-f0c36c27f730 · inbound
Quantum Calculus-based Volterra LMS for Nonlinear Channel Estimation cites this paper.
Quantum Calculus-based Volterra LMS for Nonlinear Channel Estimation Comments on "Momentum fractional LMS for power signal parameter estimation"
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:50:14.290080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b85220c4-addf-4f9b-aa3b-0fbad8192491 · inbound
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks cites this paper.
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Comments on "Momentum fractional LMS for power signal parameter estimation"
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T12:55:35.342401Z
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.