Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inverse Classification for Comparison-based Interpretability in Machine Learning
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1712.08443.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:05:50.430222Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T00:57:42.258967Z
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 f3e0ad6d-c7f9-4d46-87fa-33b8116a4a96 · inbound
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability cites this paper.
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Inverse Classification for Comparison-based Interpretability in Machine Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:05:50.430222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8caeed83-fa6f-415f-8857-5a720917664a · inbound
From Search To Sampling: Generative Models For Robust Algorithmic Recourse cites this paper.
From Search To Sampling: Generative Models For Robust Algorithmic Recourse Inverse Classification for Comparison-based Interpretability in Machine Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:24:45.561344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab88c477-7902-443b-a4eb-3d24d9902966 · inbound
Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers cites this paper.
Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers Inverse Classification for Comparison-based Interpretability in Machine Learning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T00:57:42.274269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.