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Paper Citation Record · LEDGER

Optimal Explanations of Linear Models

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1907.04669.

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

pith.paper-citation-record.v1
1907.04669 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T01:22:45.361129Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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  • verified fuzzy24
  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0869233b-efa1-4e32-9ec4-d094704ef0cc · outbound

This paper cites Does machine learning automate moral hazard and error? American Economic Review, 107(5):476–480.

Optimal Explanations of Linear Models Does machine learning automate moral hazard and error? American Economic Review, 107(5):476–480

Reference 1

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Observation 42db49ce-a0b4-4830-a6c5-277c602edfbf · outbound

This paper cites Human decisions and machine predictions.

Optimal Explanations of Linear Models Human decisions and machine predictions

Reference 2

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Observation a089d229-ea88-43b9-959c-e0f3362e6701 · outbound

This paper cites An impact assessment of machine learning risk forecasts on parole board decisions and recidivism.

Optimal Explanations of Linear Models An impact assessment of machine learning risk forecasts on parole board decisions and recidivism

Reference 3

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Observation b1b67ac5-03f4-4797-b13d-96ee765f7134 · outbound

This paper cites Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them.

Optimal Explanations of Linear Models Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them

Reference 4

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Observation b2dddfef-4b5c-496a-8932-6103114e7898 · outbound

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Optimal Explanations of Linear Models Unresolved cited work

Reference 5

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Observation c309fb57-e078-4a91-bc7b-fa0324844354 · outbound

This paper cites The Mythos of Model Interpretability.

Optimal Explanations of Linear Models The Mythos of Model Interpretability

Reference 6

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Observation 28f9d4b9-8d32-42ca-aa34-4334efbb855f · outbound

This paper cites Selected techniques for data mining in medicine.

Optimal Explanations of Linear Models Selected techniques for data mining in medicine

Reference 7

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Observation 94ce8fd3-dc67-458e-9a83-b013be804384 · outbound

This paper cites right to explanation.

Optimal Explanations of Linear Models right to explanation

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 768f100e-c26c-41bc-b8dd-d079d058e1ec · outbound

This paper cites Statistical learning with sparsity: the lasso and generalizations.

Optimal Explanations of Linear Models Statistical learning with sparsity: the lasso and generalizations

Reference 9

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Observation 94a44ef5-066e-4624-a43c-78f92abe7b11 · outbound

This paper cites Classification and regression trees.

Optimal Explanations of Linear Models Classification and regression trees

Reference 10

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Observation 8dcce366-26fd-4383-bf88-a1bfb04e632c · outbound

This paper cites The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification.

Optimal Explanations of Linear Models The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification

Reference 11

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Observation 01e7a817-718a-43b5-beea-8391c65e319e · outbound

This paper cites McCormick, and David Madigan.

Optimal Explanations of Linear Models McCormick, and David Madigan

Reference 12

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Observation ee9429f3-1931-4fca-af27-d72a161a6df2 · outbound

This paper cites Scalable Bayesian Rule Lists.

Optimal Explanations of Linear Models Scalable Bayesian Rule Lists

Reference 13

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Observation 47178dba-3729-4b15-bd1d-a72b2ddf141e · outbound

This paper cites Why Should I Trust You?.

Optimal Explanations of Linear Models Why Should I Trust You?

Reference 14

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Observation 96d9594c-b159-45bd-acb4-dd9993ad025b · outbound

This paper cites The elements of statistical learning.

Optimal Explanations of Linear Models The elements of statistical learning

Reference 15

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Observation b86f911e-375c-4a55-ab2c-bbffb847a2fb · outbound

This paper cites Algorithmic Transparency via Quantitative Input Influence.

Optimal Explanations of Linear Models Algorithmic Transparency via Quantitative Input Influence

Reference 16

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Observation aa440762-532f-44d8-b0fa-92d4aedad776 · outbound

This paper cites Interpreting Blackbox Models via Model Extraction.

Optimal Explanations of Linear Models Interpreting Blackbox Models via Model Extraction

Reference 17

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Observation 9f32c3c2-2b05-43b6-91f6-4e3767524eb4 · outbound

This paper cites Interpretable & Explorable Approximations of Black Box Models.

Optimal Explanations of Linear Models Interpretable & Explorable Approximations of Black Box Models

Reference 18

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Observation 42487df7-3604-4a47-9f64-d199a5828884 · outbound

This paper cites Model compression.

Optimal Explanations of Linear Models Model compression

Reference 19

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Observation f504ffbf-1718-49d3-a61e-babe8b7549a6 · outbound

This paper cites Tibshirani.

Optimal Explanations of Linear Models Tibshirani

Reference 20

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Observation 1c70c84d-f311-4f8d-afc8-f3afbe0b3059 · outbound

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Optimal Explanations of Linear Models Tibshirani

Reference 21

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This paper cites Least Angle Regression.

Optimal Explanations of Linear Models Least Angle Regression

Reference 22

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Source-reported events for the cited work

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This paper cites Best subset selection via a modern optimization lens.

Optimal Explanations of Linear Models Best subset selection via a modern optimization lens

Reference 23

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Observation de642599-7d27-4ac1-b123-12d8bdb2db7c · outbound

This paper cites Simple rules for complex decisions.

Optimal Explanations of Linear Models Simple rules for complex decisions

Reference 24

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Observation dd914c1c-2bea-4440-b22c-57bbab6d22e6 · outbound

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Optimal Explanations of Linear Models Supersparse linear integer models for optimized medical scoring systems

Reference 25

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Observation 9ade69c8-bcad-41a7-beb1-b2e7e8cbdd57 · outbound

This paper cites Statistical modeling: The two cultures.

Optimal Explanations of Linear Models Statistical modeling: The two cultures

Reference 26

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Source-reported events for the cited work

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Observation bbba6fab-c13e-4706-90bf-abd3c15313e4 · outbound

This paper cites Explaining Explanations: An Overview of Interpretability of Machine Learning.

Optimal Explanations of Linear Models Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 27

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Observation 4d658ea0-28ef-481b-b127-67fffa52b5fb · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Optimal Explanations of Linear Models Towards A Rigorous Science of Interpretable Machine Learning

Reference 28

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Observation 1761e1a9-9605-4a56-8be2-c2b0ad1544ef · outbound

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Optimal Explanations of Linear Models Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 5a86dc8c-b6cd-462d-bc2a-5a25c5b9d512 · outbound

This paper cites Event labeling combining ensemble detectors and background knowledge.Progress in Artificial Intelligence, 2(2-3):113–127.

Optimal Explanations of Linear Models Event labeling combining ensemble detectors and background knowledge.Progress in Artificial Intelligence, 2(2-3):113–127

Reference 30

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.