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Paper Citation Record · LEDGER

Conditional Local Importance by Quantile Expectations

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.08821.

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

pith.paper-citation-record.v1
2411.08821 v4

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:24:40.773061Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

29 of 29 outbound references displayed

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  • verified fuzzy20
  • unresolved9
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bc4deb9-2e04-4fc8-89d6-099cddb5bd94 · outbound

This paper cites Alpaydin and C.

Conditional Local Importance by Quantile Expectations Alpaydin and C

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a55c358b-8f23-4cb7-b2ca-eb0603a143b0 · outbound

This paper cites Controlling the false discovery rate via knockoffs.

Conditional Local Importance by Quantile Expectations Controlling the false discovery rate via knockoffs

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e27fb022-1192-4c9a-87d0-81b1432a81e8 · outbound

This paper cites Assess- ing agreement between permutation and dropout variable importance methods for regression and random forest models.

Conditional Local Importance by Quantile Expectations Assess- ing agreement between permutation and dropout variable importance methods for regression and random forest models

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9dec3b98-20e9-4620-9d6a-017ba2558ee5 · outbound

This paper cites Random forests.

Conditional Local Importance by Quantile Expectations Random forests

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 0fdab36f-060f-4799-ab9e-fbf8736d76c3 · outbound

This paper cites Panning for gold:‘model- x’knockoffs for high dimensional controlled vari- able selection.

Conditional Local Importance by Quantile Expectations Panning for gold:‘model- x’knockoffs for high dimensional controlled vari- able selection

Reference 5

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b52f5824-c091-4b76-8518-adc848585b0d · outbound

This paper cites Random forests for classification in ecology.

Conditional Local Importance by Quantile Expectations Random forests for classification in ecology

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e6e62521-b6a2-41f7-953e-58233df196f5 · outbound

This paper cites Multi-objective coun- terfactual explanations.

Conditional Local Importance by Quantile Expectations Multi-objective coun- terfactual explanations

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3911157a-7a9c-4011-877f-3eb389ba9e31 · outbound

This paper cites All models are wrong, but many are use- ful: Learning a variable’s importance by studying an entire class of prediction models simultane- ously.

Conditional Local Importance by Quantile Expectations All models are wrong, but many are use- ful: Learning a variable’s importance by studying an entire class of prediction models simultane- ously

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4af08fe7-5292-4af0-b4ec-2a169f2d95f2 · outbound

This paper cites Peeking inside the black box: Visualizing statistical learning with plots of indi- vidual conditional expectation.

Conditional Local Importance by Quantile Expectations Peeking inside the black box: Visualizing statistical learning with plots of indi- vidual conditional expectation

Reference 9

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11a06db0-8c38-45cd-858a-d8a6ed5f5aac · outbound

This paper cites Greenwell.

Conditional Local Importance by Quantile Expectations Greenwell

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation abbfd9df-1896-482a-b88a-67473e170585 · outbound

This paper cites A Simple and Effective Model-Based Variable Importance Measure.

Conditional Local Importance by Quantile Expectations A Simple and Effective Model-Based Variable Importance Measure

Reference 11

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Unavailable: canonical work link unavailable.

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Observation d5a35267-eeb7-4803-bb7f-a0e9aa8a3ca8 · outbound

This paper cites Un- restricted permutation forces extrapolation: vari- able importance requires at least one more model, or there is no free variable importance.

Conditional Local Importance by Quantile Expectations Un- restricted permutation forces extrapolation: vari- able importance requires at least one more model, or there is no free variable importance

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 55d3e888-f7e1-4ea9-8350-945e282bab1d · outbound

This paper cites R package version 0.5.3.

Conditional Local Importance by Quantile Expectations R package version 0.5.3

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bbb34857-f78a-422f-98df-f6b269768e44 · outbound

This paper cites treeshap: Compute SHAP Values for Your Tree-Based Mod- els Using the ’TreeSHAP’ Algorithm, 2024.

Conditional Local Importance by Quantile Expectations treeshap: Compute SHAP Values for Your Tree-Based Mod- els Using the ’TreeSHAP’ Algorithm, 2024

Reference 14

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2b795ce8-c4fc-47ed-9e87-10786fd164ea · outbound

This paper cites Distribution- free predictive inference for regression.

Conditional Local Importance by Quantile Expectations Distribution- free predictive inference for regression

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 600c85e9-4479-4709-80cd-a628b85e8349 · outbound

This paper cites Classification and regression by randomforest.

Conditional Local Importance by Quantile Expectations Classification and regression by randomforest

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 74e21b29-8a9a-4758-bbce-67ed74c929a6 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Conditional Local Importance by Quantile Expectations A Unified Approach to Interpreting Model Predictions

Reference 17

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Unavailable: canonical work link unavailable.

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Observation a36dc1c2-2fed-4f13-8e37-3c15b1d28661 · outbound

This paper cites Consistent Individualized Feature Attribution for Tree Ensembles.

Conditional Local Importance by Quantile Expectations Consistent Individualized Feature Attribution for Tree Ensembles

Reference 18

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Observation 2a720bc5-572d-4121-bb37-122a2ee6cdd3 · outbound

This paper cites Interpretable machine learn- ing.

Conditional Local Importance by Quantile Expectations Interpretable machine learn- ing

Reference 19

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1175cc37-69ba-40da-b14a-7de5a4af0ba2 · outbound

This paper cites Visualizing structure and transitions in high- dimensional biological data.

Conditional Local Importance by Quantile Expectations Visualizing structure and transitions in high- dimensional biological data

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a4d343a0-e636-4650-bf0c-b57c03180cb6 · outbound

This paper cites Pedregosa, G.

Conditional Local Importance by Quantile Expectations Pedregosa, G

Reference 21

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Observation f4a601b5-475d-49b8-b7ad-5a75057850ef · outbound

This paper cites R: A Language and Environment for Statistical Computing.

Conditional Local Importance by Quantile Expectations R: A Language and Environment for Statistical Computing

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4482992d-8dd9-4c55-b4a0-7f07095cf3b1 · outbound

This paper cites Coarse-grained 6x6 pixel mnist dataset,.

Conditional Local Importance by Quantile Expectations Coarse-grained 6x6 pixel mnist dataset,

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e5a428f1-9791-4fff-b2b2-c93e3c71e407 · outbound

This paper cites ”why should i trust you?” explaining the predictions of any classifier.

Conditional Local Importance by Quantile Expectations ”why should i trust you?” explaining the predictions of any classifier

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f5ced919-0be1-42cd-a58e-3195f17f48fa · outbound

This paper cites Anchors: High-precision model- agnostic explanations, 2018.

Conditional Local Importance by Quantile Expectations Anchors: High-precision model- agnostic explanations, 2018

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 50d56f56-2121-4dfc-9cc8-8d6077e2f9f6 · outbound

This paper cites A value for n-person games, 1953.

Conditional Local Importance by Quantile Expectations A value for n-person games, 1953

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 695c8aa0-9e8c-40a8-bdbb-f9419e60049a · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr.

Conditional Local Importance by Quantile Expectations Counterfactual explanations without opening the black box: Automated decisions and the gdpr

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f1a71caf-0592-41b3-996b-61e662c67da5 · outbound

This paper cites Concrete Compressive Strength.

Conditional Local Importance by Quantile Expectations Concrete Compressive Strength

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ef778d3-529a-4bb8-9282-e85079df465b · outbound

This paper cites an unresolved cited work.

Conditional Local Importance by Quantile Expectations Unresolved cited work

Reference 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.