Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Introductory Study on Time Series Modeling and Forecasting
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1302.6613.
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, observed 2026-08-16T10:26:48.160854Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T19:28:52.316487Z
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 e4cbaa88-7240-4845-b4d7-20174f315dc4 · inbound
Statistical Disaggregation -- a Monte Carlo Approach for Imputation under Constraints cites this paper.
Statistical Disaggregation -- a Monte Carlo Approach for Imputation under Constraints An Introductory Study on Time Series Modeling and Forecasting
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:26:48.160854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70f7f94d-881c-4f90-96cf-1219647b6c1b · inbound
The noiseless limit and improved-prior limit of the maximum entropy method and their implications for the analytic continuation problem cites this paper.
The noiseless limit and improved-prior limit of the maximum entropy method and their implications for the analytic continuation problem An Introductory Study on Time Series Modeling and Forecasting
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:15:07.961658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8699afd-5cbd-48c5-8566-b695520e6c81 · inbound
A Survey on Data-Driven Models for Soil Moisture Regression and Classification cites this paper.
A Survey on Data-Driven Models for Soil Moisture Regression and Classification An Introductory Study on Time Series Modeling and Forecasting
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T19:28:52.318573Z
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.