Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.00444.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T03:25:07.440442Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:39:57.050054Z
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 5b33de5c-0edc-4612-80f3-a24bd5f83dcc · inbound
On the Role of Time Series Clustering in Traffic Matrix Prediction cites this paper.
On the Role of Time Series Clustering in Traffic Matrix Prediction Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:41:26.224673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8db5a33d-a343-4af2-b5e5-4a60fac76287 · inbound
End-to-end probabilistic hierarchical forecasting of large hierarchies via probabilistic top-down cites this paper.
End-to-end probabilistic hierarchical forecasting of large hierarchies via probabilistic top-down Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:39:57.052196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.