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Paper Citation Record · LEDGER

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1811.10154.

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

pith.paper-citation-record.v1
1811.10154 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:52:56.508484Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

44
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 007bcd9a-38cb-444e-bc77-673eeb4abe80 · inbound

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection cites this paper.

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T23:52:56.508484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:52:56.508484Z digest=sha256:41bc627b9d59d0a61941ca1d535e11e7f0bc45ca8de4e90a9fe2fd6ff5520f21

Observation 77bcbc21-81a9-4cae-94d7-905506c35fda · inbound

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations cites this paper.

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T21:26:52.734657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:26:52.734657Z digest=sha256:9cb2cd5438796acb57a46114c001cf3b3c471bb0f61e9d8b40404f978130777d

Observation b8de9b13-d561-481f-9c11-3a1b50f80d47 · inbound

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining cites this paper.

AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T22:18:08.926791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:18:08.926791Z digest=sha256:c4d5f142e921db534849758473dc8f1d356d9c821cad17c36a9e87472f909711

Observation 2d71ac66-a59f-4c07-a1a9-ae4fe7c1d177 · inbound

Interpretable machine learning of halo gas density profiles: a sensitivity analysis of cosmological hydrodynamical simulations cites this paper.

Interpretable machine learning of halo gas density profiles: a sensitivity analysis of cosmological hydrodynamical simulations Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-03T17:35:17.791028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:35:17.791028Z digest=sha256:4f2c1210b74e2a46808a2a8c2d2cc6712f2054e283722c02ff0e9f768b266d1a

Observation 5c0cb1a0-c856-4ede-bce8-af1ce930e815 · inbound

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification cites this paper.

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:11:03.208142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:45:36.546223Z digest=sha256:93fcd7ce564b6475af7ddfdc271dff407d686ef9965d36c919cdedf9996a9bb3

Observation e146dd14-54cd-49f3-ac28-90f8c0580e37 · inbound

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems cites this paper.

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:56:16.581827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T19:56:13.911743Z digest=sha256:f71ed16588fecc50f10c6a631b7582123369c82ad25745551cd385a2098f2e6e

Observation 8f327af4-4234-40d9-bf06-c5530906f95f · inbound

Agentic-imodels: Evolving agentic interpretability tools via autoresearch cites this paper.

Agentic-imodels: Evolving agentic interpretability tools via autoresearch Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:36:36.309204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T16:37:43.371592Z digest=sha256:72d41ca1d55225887f36d39b01ef9aa97bc7dde11954a07bde08750694dd1eaf

Observation 18365b0b-4c15-498a-8fb3-d1d22900885e · inbound

Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules cites this paper.

Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:26:41.274992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T06:26:30.575176Z digest=sha256:9aff0f41c3d5a0ec8486ba7bca4cc9aadc86f2b7a7b03905d73e47ee6be0a6ca

Observation 50c92403-3b56-4f91-a84d-cd76d2b2f986 · inbound

Beyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models cites this paper.

Beyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T03:57:38.727962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T14:19:46.345980Z digest=sha256:63e52ab1f3cfcb1947fa6f8fcd71b84f80269da89742bc1cf6490c8280a3f14e

Observation d16bcabe-80da-4228-91d0-e02ed35b9b94 · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-04T04:31:49.020297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:31:49.020297Z digest=sha256:f1dcd11c8f77fbb02d7a1a8055dcefdcef3dbc16978129b1f5f748d25282eb3e