Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IMBENS: Ensemble Class-imbalanced Learning in Python
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.12776.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:49:14.588095Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:35:01.128285Z
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 af016ef0-7fea-42b0-a7d0-784ec037b32e · inbound
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence IMBENS: Ensemble Class-imbalanced Learning in Python
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:49:14.588095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af354d9f-b764-4113-8004-a1f1a450ac51 · inbound
A Comprehensive Survey on Imbalanced Data Learning cites this paper.
A Comprehensive Survey on Imbalanced Data Learning IMBENS: Ensemble Class-imbalanced Learning in Python
Reference 281
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:07:19.591780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bb25a04-7ab7-422c-ae4b-1bf9ec13c588 · inbound
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting IMBENS: Ensemble Class-imbalanced Learning in Python
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:35:01.134475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.