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Paper Citation Record · LEDGER

Interpretable machine learning: definitions, methods, and applications

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:39:47.653697Z

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T01:44:47.391824Z digest=sha256:51020891d5f9030384b194099795e585b701f649676479cc3ee52f08a1c6079c

Observation 454bf541-2fe8-4aa2-90f9-de50016c98a3 · inbound

SIRUS: Stable and Interpretable RUle Set for Classification cites this paper.

SIRUS: Stable and Interpretable RUle Set for Classification Interpretable machine learning: definitions, methods, and applications

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T12:39:47.653697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:39:47.653697Z digest=sha256:1cc414f2369c481d631771d2cbe25432fe3983fbab6f42bbb726492303bc02de

Observation 316af8f1-491f-41e4-a72b-df87d8de8c18 · inbound

Shapley Decomposition of R-Squared in Machine Learning Models cites this paper.

Shapley Decomposition of R-Squared in Machine Learning Models Interpretable machine learning: definitions, methods, and applications

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T11:09:33.511390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:09:33.511390Z digest=sha256:0ea5211e8cb3f5fa89b091077769c6b4d01d633bbaa9ec37ee0c139678cceac1

Observation a9049abd-6258-4d96-ae45-01bbc3daa6e4 · inbound

Mapping the Mind of an Instruction-based Image Editing using SMILE cites this paper.

Mapping the Mind of an Instruction-based Image Editing using SMILE Interpretable machine learning: definitions, methods, and applications

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:23.350419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:23.350419Z digest=sha256:4559fe3cad60ad83a34090ab88a52ccbc08af5e4772e2fc479c6dae90f515a8d

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.

source=pdf_text observed=2026-08-07T15:15:40.323070Z digest=sha256:a0845bdd24b4adf587e98541967b6e82f8c9b890ae1143f88e3d36efdeb2fc55

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T15:56:37.996198Z digest=sha256:7e99a1321ba0069eca7417490743f96cc4e04b7880c54cd24ced076308668f91

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-03T16:47:56.417505Z digest=sha256:dd801f518cf39712ed5e55fbf854cd21f64179fe0741b6267f92656718ff276f