Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.06831.
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 2026-08-07T04:23:50.429163Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T08:24:26.411389Z
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 86d4452d-26c7-4b7d-815a-1635c5ce6798 · inbound
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection cites this paper.
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:23:50.429163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a86208e8-df65-45e8-a5e6-8f2e50f419c7 · inbound
Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection cites this paper.
Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:15:54.290334Z
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 b6985732-4f3b-47a7-942f-29b69a7bb9f1 · inbound
Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models cites this paper.
Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
Reference 148
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:24:26.412836Z
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.