Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.08943.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:45:04.652150Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T13:42:39.857772Z
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 f97b965a-e9cd-44ac-9a8f-cbb769ee942c · inbound
New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing cites this paper.
New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:42:30.362597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90c7b676-58c2-48bb-86ca-aff5f102ec04 · 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 Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T13:42:39.861295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e41dedff-98d0-4eb5-933e-f6b0cb5d2131 · inbound
Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives cites this paper.
Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:45:04.652150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.