Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:23:10.963399Z
Paper Citation Record · LEDGER
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
As of 22 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:1908.06746.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
2 of 2 outbound references displayed
- verified exact2
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b39ba17c-c5b3-453d-911d-f4f252c832b3 · outbound
This paper cites an unresolved cited work.
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms Unresolved cited work
Reference 1
- Resolution
- verified exact
- raw_fallback, observed 2026-08-14T13:23:11.204537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4149bc1f-1299-4733-a8a5-5255b26cf330 · outbound
This paper cites Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems.
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T13:23:11.018458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.