Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.00724.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:27:31.660233Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T19:33:25.993202Z
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 7d7e7552-7b71-4c48-9841-f03e6a8dd0e3 · inbound
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction cites this paper.
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:27:31.660233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cee789c-6b94-4700-92f8-a00e65d07ef2 · inbound
RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences cites this paper.
RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Chart Sequences RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce
Reference 92
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T19:33:26.116711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.