Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.07451.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:55:54.695081Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T08:46:07.672103Z
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 c164346f-7753-4302-8089-a80c0da6ab88 · inbound
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark cites this paper.
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:55:54.695081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6357413f-b228-4377-9de0-b5d866e1fe47 · 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 Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:46:07.676015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8638cb88-1128-4501-9033-97af44ed0fbd · 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 Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:29:57.109558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.