Paper Citation Record · LEDGER

Interpretable machine learning: definitions, methods, and applications

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1901.04592.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1901.04592 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:40.323070Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T16:48:39.286763Z

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 03685c29-d18f-40b7-bbf9-d100cbdaedbf · inbound

Global Aggregations of Local Explanations for Black Box models cites this paper.

Global Aggregations of Local Explanations for Black Box models Interpretable machine learning: definitions, methods, and applications

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-25T01:45:10.983487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09b63613-035c-49cf-bb6d-26780c3ec50c · inbound

Are machine learning interpretations reliable? A stability study on global interpretations cites this paper.

Are machine learning interpretations reliable? A stability study on global interpretations Interpretable machine learning: definitions, methods, and applications

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:40.323070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153feec4-53f8-4eae-821d-8aa33cab4f5d · inbound

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane cites this paper.

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane Interpretable machine learning: definitions, methods, and applications

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:01:14.768750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90f1f17f-5c3b-4d09-9c26-c6e47a5f5117 · inbound

Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data cites this paper.

Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data Interpretable machine learning: definitions, methods, and applications

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.288375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.