Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2001.09040.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T06:07:25.414726Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T06:07:25.867673Z
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 e4045c06-3f88-45c8-8363-8faa3fd54ef2 · inbound
MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems cites this paper.
MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T06:07:25.872619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.