Paper Citation Record · LEDGER

iLOCO: Distribution-Free Inference for Feature Interactions

As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2502.06661.

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

pith.paper-citation-record.v1
2502.06661 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:50:48.410956Z

measured 72 of 72 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:37.612436Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:10:29.479119Z

Reference resolution

70 of 70 outbound references displayed

verified exact4
verified fuzzy48
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45d0f5fa-6b16-46ea-aff0-f059a19521b1 · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges.

iLOCO: Distribution-Free Inference for Feature Interactions A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Reference 1

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Observation 75fd9290-9886-460e-b2a0-0c4161becc43 · outbound

This paper cites Permutation importance: a corrected feature importance measure.

iLOCO: Distribution-Free Inference for Feature Interactions Permutation importance: a corrected feature importance measure

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.844613Z

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Observation 2c81c2b8-03d4-4c19-a0b5-9daf02068511 · outbound

This paper cites Exploring feature interactions in the wild: the new feature-interaction challenge.

iLOCO: Distribution-Free Inference for Feature Interactions Exploring feature interactions in the wild: the new feature-interaction challenge

Reference 3

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Observation 677703ca-a4f6-4a3b-a780-659be04dfaa8 · outbound

This paper cites Predictive inference with the jackknife+.

iLOCO: Distribution-Free Inference for Feature Interactions Predictive inference with the jackknife+

Reference 4

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Observation a69b2414-94ab-4bb1-aa4a-c52c6a8e40e9 · outbound

This paper cites Iterative random forests to discover predictive and stable high-order interactions.

iLOCO: Distribution-Free Inference for Feature Interactions Iterative random forests to discover predictive and stable high-order interactions

Reference 5

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Observation 4ed560b3-4e2b-442e-bc98-8af7a2188ea7 · outbound

This paper cites Car Evaluation.UCIMachineLearningRepository.DOI:https://doi.org/10.24432/C5JP48.

iLOCO: Distribution-Free Inference for Feature Interactions Car Evaluation.UCIMachineLearningRepository.DOI:https://doi.org/10.24432/C5JP48

Reference 6

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Source-reported events for the cited work

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Observation 5ec7b80f-5bb2-4941-9372-99154dd087fe · outbound

This paper cites Distributional conformal prediction.

iLOCO: Distribution-Free Inference for Feature Interactions Distributional conformal prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.814693Z

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Observation 3e11a9c2-6633-460f-8624-6ac171088d5c · outbound

This paper cites Detecting gene–gene interactions that underlie human diseases.

iLOCO: Distribution-Free Inference for Feature Interactions Detecting gene–gene interactions that underlie human diseases

Reference 8

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Observation 6b2e2a76-43d2-48be-a470-13862b86fc84 · outbound

This paper cites Epistasis: what it means, what it doesn’t mean, and statistical methods to detect it in humans.

iLOCO: Distribution-Free Inference for Feature Interactions Epistasis: what it means, what it doesn’t mean, and statistical methods to detect it in humans

Reference 9

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Observation 4d562214-d626-491d-9c51-1433d1ea2001 · outbound

This paper cites Significance tests of feature relevance for a black-box learner.

iLOCO: Distribution-Free Inference for Feature Interactions Significance tests of feature relevance for a black-box learner

Reference 10

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Observation 771111b7-3dbc-44e3-a16c-33b66b877caf · outbound

This paper cites Difford’s Guide for Discerning Drinkers.

iLOCO: Distribution-Free Inference for Feature Interactions Difford’s Guide for Discerning Drinkers

Reference 11

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Observation 74c89bd9-9f66-4f63-b9f4-c56adb441f6f · outbound

This paper cites Techniques for interpretable machine learning.

iLOCO: Distribution-Free Inference for Feature Interactions Techniques for interpretable machine learning

Reference 12

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Observation 019bc86f-279d-4a97-817b-7d9ab7b230fb · outbound

This paper cites Predictive learning via rule ensembles.

iLOCO: Distribution-Free Inference for Feature Interactions Predictive learning via rule ensembles

Reference 13

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Observation 65ec7177-a535-426d-b19f-214c24adec95 · outbound

This paper cites Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance.

iLOCO: Distribution-Free Inference for Feature Interactions Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance

Reference 14

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Observation 6b404997-d86c-444b-adbd-afeebe1863ba · outbound

This paper cites Feature Importance for Uncertainty Quantification In Agent-Based Modeling.

iLOCO: Distribution-Free Inference for Feature Interactions Feature Importance for Uncertainty Quantification In Agent-Based Modeling

Reference 15

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Observation 28154f58-9f5e-486b-8eb8-f91fc525803e · outbound

This paper cites Variable importance assessment in regression: linear regression versus random forest.

iLOCO: Distribution-Free Inference for Feature Interactions Variable importance assessment in regression: linear regression versus random forest

Reference 16

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Source-reported events for the cited work

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Observation bbb06bc9-ba60-4ac0-af5d-fd65dfc0038f · outbound

This paper cites The impact of non-additive genetic associations on age-related complex diseases.

iLOCO: Distribution-Free Inference for Feature Interactions The impact of non-additive genetic associations on age-related complex diseases

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.644801Z

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 f20e66fe-6481-4c4e-8f7e-d8e56c98296b · outbound

This paper cites A Class of Statistics with Asymptotically Normal Distribution.

iLOCO: Distribution-Free Inference for Feature Interactions A Class of Statistics with Asymptotically Normal Distribution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.626613Z

Source-reported events for the cited work

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Observation 06b92f1c-8251-40f4-b955-b8901b49b293 · outbound

This paper cites Discovering Additive Structure in Black Box Functions.

iLOCO: Distribution-Free Inference for Feature Interactions Discovering Additive Structure in Black Box Functions

Reference 19

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Source-reported events for the cited work

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Observation 78705867-c424-4b6e-87c0-b1276043b34c · outbound

This paper cites Generalized functional anova diagnostics for high-dimensional functions of dependent variables.

iLOCO: Distribution-Free Inference for Feature Interactions Generalized functional anova diagnostics for high-dimensional functions of dependent variables

Reference 20

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Source-reported events for the cited work

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Observation 19120634-1e22-4359-b0a6-1885e2f95cb3 · outbound

This paper cites Explaining explanations: Axiomatic feature interactions for deep networks.

iLOCO: Distribution-Free Inference for Feature Interactions Explaining explanations: Axiomatic feature interactions for deep networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.595468Z

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

Observation 89a2de64-46bb-40ca-ae2e-dfb88d225ff5 · outbound

This paper cites SPEX: Scaling Feature Interaction Explanations for LLMs.

iLOCO: Distribution-Free Inference for Feature Interactions SPEX: Scaling Feature Interaction Explanations for LLMs

Reference 22

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Source-reported events for the cited work

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Observation a35e35cf-0ce7-4c3b-9184-22cf4ff02930 · outbound

This paper cites Black-box tests for algorithmic stability.

iLOCO: Distribution-Free Inference for Feature Interactions Black-box tests for algorithmic stability

Reference 23

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Observation 75286f54-8845-41aa-be22-f2e53fedef56 · outbound

This paper cites Predictive inference is free with the jackknife+- after-bootstrap.

iLOCO: Distribution-Free Inference for Feature Interactions Predictive inference is free with the jackknife+- after-bootstrap

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.565049Z

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 5ad9a064-9176-49c7-bc73-925c4383d278 · outbound

This paper cites Distribution- free predictive inference for regression.

iLOCO: Distribution-Free Inference for Feature Interactions Distribution- free predictive inference for regression

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.549282Z

Source-reported events for the cited work

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Observation 82b430ef-1633-4486-870c-52971b90e4e3 · outbound

This paper cites High-dimensional interaction detection with false sign rate control.

iLOCO: Distribution-Free Inference for Feature Interactions High-dimensional interaction detection with false sign rate control

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.531904Z

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 4bb91799-f6a6-4ddc-91d5-6cb3237c7073 · outbound

This paper cites Statistical and functional studies identify epistasis of cardiovascular risk genomic variants from genome-wide association studies.

iLOCO: Distribution-Free Inference for Feature Interactions Statistical and functional studies identify epistasis of cardiovascular risk genomic variants from genome-wide association studies

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.516362Z

Source-reported events for the cited work

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Observation 7bd00763-b369-4c22-b8c7-0acdc00e36b0 · outbound

This paper cites Analysis of regression in game theory approach.

iLOCO: Distribution-Free Inference for Feature Interactions Analysis of regression in game theory approach

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.500834Z

Source-reported events for the cited work

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Observation 547dea95-8371-4767-808d-dda0e8a28316 · outbound

This paper cites Explicit feature interaction- aware uplift network for online marketing.

iLOCO: Distribution-Free Inference for Feature Interactions Explicit feature interaction- aware uplift network for online marketing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.485837Z

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 588216a7-4b16-43dc-86f3-b2ddae693df0 · outbound

This paper cites Feature Importance and Uncertainty Quantifi- cation of Machine Learning Model in Materials Science.

iLOCO: Distribution-Free Inference for Feature Interactions Feature Importance and Uncertainty Quantifi- cation of Machine Learning Model in Materials Science

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.471022Z

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Observation 4b3d3640-cd0b-4e93-a54e-aa549da4e651 · outbound

This paper cites Why epistasis is important for tackling complex human disease genetics.

iLOCO: Distribution-Free Inference for Feature Interactions Why epistasis is important for tackling complex human disease genetics

Reference 31

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Observation c15fdd1c-9b9e-4092-84c6-e9a8d7732ec6 · outbound

This paper cites Definitions, methods, and applications in interpretable machine learning.

iLOCO: Distribution-Free Inference for Feature Interactions Definitions, methods, and applications in interpretable machine learning

Reference 32

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Source-reported events for the cited work

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Observation 710e2d61-f25d-456a-8cc8-e748f6f89c63 · outbound

This paper cites Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems.

iLOCO: Distribution-Free Inference for Feature Interactions Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.425889Z

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 bb464011-596b-4f06-8508-e464ebc63825 · outbound

This paper cites PLINK: a tool set for whole-genome association and population-based linkage analyses.

iLOCO: Distribution-Free Inference for Feature Interactions PLINK: a tool set for whole-genome association and population-based linkage analyses

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.410945Z

Source-reported events for the cited work

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Observation bf7f95f0-753e-4f14-b337-dba254d95862 · outbound

This paper cites A Shapley–Owen Index for Interaction Quan- tification.

iLOCO: Distribution-Free Inference for Feature Interactions A Shapley–Owen Index for Interaction Quan- tification

Reference 35

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Observation 4cbd25a4-3992-4cad-bd0e-dc5f6fdda7d7 · outbound

This paper cites Bootstrapping and sample splitting for high-dimensional, assumption-lean inference.

iLOCO: Distribution-Free Inference for Feature Interactions Bootstrapping and sample splitting for high-dimensional, assumption-lean inference

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.396304Z

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Observation d3a8ab2e-efe1-4f73-82cc-9ae19d284f94 · outbound

This paper cites Conformalized quantile regression.

iLOCO: Distribution-Free Inference for Feature Interactions Conformalized quantile regression

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.378442Z

Source-reported events for the cited work

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Observation fd4cdc3d-d988-45fa-b966-2d65920b01c4 · outbound

This paper cites A comprehensive review of feature based methods for drug target interaction prediction.

iLOCO: Distribution-Free Inference for Feature Interactions A comprehensive review of feature based methods for drug target interaction prediction

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.363506Z

Source-reported events for the cited work

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Observation 47b016bd-62d3-4414-a33a-74765996458d · outbound

This paper cites Explaining deep neural networks and beyond: A review of methods and applications.

iLOCO: Distribution-Free Inference for Feature Interactions Explaining deep neural networks and beyond: A review of methods and applications

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.348190Z

Source-reported events for the cited work

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Observation 5b1de5b6-a901-4384-a6f1-3916fa690bf6 · outbound

This paper cites The hardness of conditional independence testing and the generalised covariance measure.

iLOCO: Distribution-Free Inference for Feature Interactions The hardness of conditional independence testing and the generalised covariance measure

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.332837Z

Source-reported events for the cited work

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Observation 20c4e878-bf99-48cb-b3d4-ec55b196b323 · outbound

This paper cites Gene interactions in human disease studies—evidence is mounting.

iLOCO: Distribution-Free Inference for Feature Interactions Gene interactions in human disease studies—evidence is mounting

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.318373Z

Source-reported events for the cited work

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Observation 6eba195d-9fcd-4b39-8456-4cfe56cec515 · outbound

This paper cites The use of polynomial splines and their tensor products in multivariate function estimation.

iLOCO: Distribution-Free Inference for Feature Interactions The use of polynomial splines and their tensor products in multivariate function estimation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.302182Z

Source-reported events for the cited work

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Observation 2a069aef-8f33-4f32-8630-cbbc6db1fbe2 · outbound

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iLOCO: Distribution-Free Inference for Feature Interactions The Shapley Taylor Interac- tion Index

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.276712Z

Source-reported events for the cited work

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Observation 3a8e2eb3-1ec2-4355-b84f-95e08f40481e · outbound

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iLOCO: Distribution-Free Inference for Feature Interactions Conformal prediction under covariate shift

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.252610Z

Source-reported events for the cited work

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Observation f10dfff3-a5f9-4c68-b197-814da96b3008 · outbound

This paper cites MP-Boost: Minipatch boosting via adaptive feature and observation sampling.

iLOCO: Distribution-Free Inference for Feature Interactions MP-Boost: Minipatch boosting via adaptive feature and observation sampling

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.230583Z

Source-reported events for the cited work

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Observation faaa67f8-8c5a-4978-ac7c-e36da9f21b2b · outbound

This paper cites Faith-Shap: The Faithful Shapley Interaction Index.

iLOCO: Distribution-Free Inference for Feature Interactions Faith-Shap: The Faithful Shapley Interaction Index

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.208512Z

Source-reported events for the cited work

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Observation b77d4860-f4bf-488e-91ee-cf09d69ae1d0 · outbound

This paper cites How does this interaction affect me? interpretable attribution for feature interactions.

iLOCO: Distribution-Free Inference for Feature Interactions How does this interaction affect me? interpretable attribution for feature interactions

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.191732Z

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 cb59b18f-d87c-46ba-9761-3f917d15cde1 · outbound

This paper cites Can I trust you more? Model-Agnostic Hierarchical Explanations.

iLOCO: Distribution-Free Inference for Feature Interactions Can I trust you more? Model-Agnostic Hierarchical Explanations

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:50:48.747664Z

Source-reported events for the cited work

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Observation 2c36393c-470e-4fe7-8216-7ec11cde70b8 · outbound

This paper cites Decorrelated variable importance.

iLOCO: Distribution-Free Inference for Feature Interactions Decorrelated variable importance

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.175421Z

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 635ddc50-5f7c-4d3e-bf38-7eecbb36cf4a · outbound

This paper cites Epistasis regulates genetic control of cardiac hypertrophy.

iLOCO: Distribution-Free Inference for Feature Interactions Epistasis regulates genetic control of cardiac hypertrophy

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.158862Z

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 45eb740f-cd37-4f8b-ac5e-f421242d5bef · outbound

This paper cites Testing conditional independence in supervised learning algorithms.

iLOCO: Distribution-Free Inference for Feature Interactions Testing conditional independence in supervised learning algorithms

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.139389Z

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.

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This paper cites Efficient nonparametric statistical inference on population feature importance using Shapley values.

iLOCO: Distribution-Free Inference for Feature Interactions Efficient nonparametric statistical inference on population feature importance using Shapley values

Reference 52

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This paper cites A general framework for inference on algorithm-agnostic variable importance.

iLOCO: Distribution-Free Inference for Feature Interactions A general framework for inference on algorithm-agnostic variable importance

Reference 53

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This paper cites Feature Selection for Huge Data via Minipatch Learning.

iLOCO: Distribution-Free Inference for Feature Interactions Feature Selection for Huge Data via Minipatch Learning

Reference 54

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iLOCO: Distribution-Free Inference for Feature Interactions Minipatch learning as implicit ridge-like regularization

Reference 55

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Observation 1b370945-e96e-4423-9fbc-95041d48ac5f · outbound

This paper cites Cis-epistasis at the LPA locus and risk of cardiovascular diseases.

iLOCO: Distribution-Free Inference for Feature Interactions Cis-epistasis at the LPA locus and risk of cardiovascular diseases

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.071159Z

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Observation 3207597d-b997-43ca-84c9-1c48de289450 · outbound

This paper cites Floodgate: inference for model-free variable importance.

iLOCO: Distribution-Free Inference for Feature Interactions Floodgate: inference for model-free variable importance

Reference 57

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Observation ba7c397e-2577-43a5-990b-4d6bd19c4b10 · outbound

This paper cites Explainable machine learning in image classification models: An uncertainty quantification perspective.

iLOCO: Distribution-Free Inference for Feature Interactions Explainable machine learning in image classification models: An uncertainty quantification perspective

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:49.055183Z

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Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:50:49.040038Z

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Observation a0d4340e-7989-4be9-82ff-ae6297965e22 · outbound

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Reference 61

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Reference 62

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Reference 63

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Reference 64

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Observation f5ce9512-b5ef-4f99-9624-8910bdec2a31 · outbound

This paper cites , B • Randomly subsample n observations Ib ⊂ [N ] and m features Fb ⊂ [M ].

iLOCO: Distribution-Free Inference for Feature Interactions , B • Randomly subsample n observations Ib ⊂ [N ] and m features Fb ⊂ [M ]

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:50:48.958961Z

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Reference 66

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Reference 67

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Reference 68

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Reference 69

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Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:50:48.872099Z

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Observation 8bcd3f5d-6d8b-4eca-b4ba-8873da935993 · outbound

This paper cites url: https://doi.org/10.1214/18-AOS1784.

iLOCO: Distribution-Free Inference for Feature Interactions url: https://doi.org/10.1214/18-AOS1784

Reference 3469

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Pith citing papers

Observation f9d8112d-b87f-4bbe-babe-df8dad99cba9 · 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 iLOCO: Distribution-Free Inference for Feature Interactions

Reference 69

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Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making cites this paper.

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making iLOCO: Distribution-Free Inference for Feature Interactions

Reference 213

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