Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.12543.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:08:41.595401Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T13:42:39.817808Z
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 f959845a-92cb-4aa9-a026-2ad0604dc120 · inbound
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality? cites this paper.
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality? Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:08:41.595401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e8a51f0-3837-4f23-a27c-f50eed11122b · inbound
Impact of Adversarial Attacks on Deep Learning Model Explainability cites this paper.
Impact of Adversarial Attacks on Deep Learning Model Explainability Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
Reference 7741
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:20:12.084638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eda325b-6f0b-4ebc-bcbb-c509c3a2d995 · inbound
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models cites this paper.
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T13:42:39.823183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.