Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.09870.
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 2026-08-07T23:07:19.587506Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T08:46:07.775037Z
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 0524b6f9-f37e-477e-9029-993fef0c1f8f · inbound
A Comprehensive Survey on Imbalanced Data Learning cites this paper.
A Comprehensive Survey on Imbalanced Data Learning IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
Reference 280
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:07:19.587506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a742b2b-82b7-4778-b854-5e09c61e793b · inbound
When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach cites this paper.
When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:46:07.778078Z
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 34998482-615f-4261-a1e4-b3ea1fcd8ce6 · inbound
OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.
OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:29:53.786918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.