Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.04131.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:52:56.503008Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 10ea286b-0360-4cf1-806a-7b1d5c5c7a03 · inbound
Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09ca7558-7f42-44a8-baf5-c8a75e6298fc · inbound
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation febafb4b-bd4c-4e38-919b-51397dea2d70 · inbound
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Reference 162
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8ecf8666-6782-486e-858e-bb127d17e0cf · inbound
Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Reference 159
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.