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Paper Citation Record · LEDGER

Optimal probabilistic feature shifts for reclassification in tree ensembles

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.03722.

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pith.paper-citation-record.v1
2412.03722 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:17:35.720546Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

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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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External citation measurements

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Outbound references

Observation c379ed02-e987-40dc-9f12-5b6482bf4c8d · outbound

This paper cites Optimal classification trees.

Optimal probabilistic feature shifts for reclassification in tree ensembles Optimal classification trees

Reference 1

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This paper cites Optimal arrangements of hyperplanes for SVM-based multiclass classification.

Optimal probabilistic feature shifts for reclassification in tree ensembles Optimal arrangements of hyperplanes for SVM-based multiclass classification

Reference 2

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This paper cites A Mathematical Programming Approach to Optimal Classification Forests.

Optimal probabilistic feature shifts for reclassification in tree ensembles A Mathematical Programming Approach to Optimal Classification Forests

Reference 3

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This paper cites On minimal extended representations of generalized power cones.

Optimal probabilistic feature shifts for reclassification in tree ensembles On minimal extended representations of generalized power cones

Reference 4

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This paper cites Revisiting several problems and algorithms in continuous location with ℓτ norms.

Optimal probabilistic feature shifts for reclassification in tree ensembles Revisiting several problems and algorithms in continuous location with ℓτ norms

Reference 5

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This paper cites Generating collec- tive counterfactual explanations in score-based classification via mathematical optimization.

Optimal probabilistic feature shifts for reclassification in tree ensembles Generating collec- tive counterfactual explanations in score-based classification via mathematical optimization

Reference 6

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This paper cites Extracting tree-structured representations of trained networks.

Optimal probabilistic feature shifts for reclassification in tree ensembles Extracting tree-structured representations of trained networks

Reference 7

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This paper cites Multi-objective counter- factual explanations, in: International Conference on Parallel Problem Solving from Nature, Springer.

Optimal probabilistic feature shifts for reclassification in tree ensembles Multi-objective counter- factual explanations, in: International Conference on Parallel Problem Solving from Nature, Springer

Reference 8

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This paper cites Obesity level estimation software based on decision trees.

Optimal probabilistic feature shifts for reclassification in tree ensembles Obesity level estimation software based on decision trees

Reference 9

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This paper cites Robust counter- factual explanations for tree-based ensembles, in: International conference on machine learning, PMLR.

Optimal probabilistic feature shifts for reclassification in tree ensembles Robust counter- factual explanations for tree-based ensembles, in: International conference on machine learning, PMLR

Reference 10

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This paper cites New algorithmic framework for conditional value at risk: Application to stochastic fixed-charge transportation.

Optimal probabilistic feature shifts for reclassification in tree ensembles New algorithmic framework for conditional value at risk: Application to stochastic fixed-charge transportation

Reference 11

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Optimal probabilistic feature shifts for reclassification in tree ensembles Conditional value-at-risk beyond finance: a survey

Reference 12

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Optimal probabilistic feature shifts for reclassification in tree ensembles Capturing users’ reality: A novel approach to generate coherent counterfactual explanations

Reference 13

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Optimal probabilistic feature shifts for reclassification in tree ensembles Sick and de- pressed? the causal impact of a diabetes diagnosis on depression

Reference 14

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This paper cites Shutting down to save lives: A regression discontinuity analysis of non-essential business closure.

Optimal probabilistic feature shifts for reclassification in tree ensembles Shutting down to save lives: A regression discontinuity analysis of non-essential business closure

Reference 15

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Optimal probabilistic feature shifts for reclassification in tree ensembles Counterfactual explanations and how to find them: liter- ature review and benchmarking

Reference 16

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Optimal probabilistic feature shifts for reclassification in tree ensembles Distribution- aware counterfactual explanation by mixed-integer linear optimization

Reference 17

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Optimal probabilistic feature shifts for reclassification in tree ensembles Unresolved cited work

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Optimal probabilistic feature shifts for reclassification in tree ensembles Extracting decision trees from trained neural networks

Reference 19

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Optimal probabilistic feature shifts for reclassification in tree ensembles A risk-averse two-stage stochastic programming model for a joint multi-item capacitated line balancing and lot-sizing problem

Reference 20

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Optimal probabilistic feature shifts for reclassification in tree ensembles Risk-averse two- stage stochastic programming for assembly line reconfiguration with dynamic lot sizes

Reference 21

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Optimal probabilistic feature shifts for reclassification in tree ensembles Artificial intelligence and black-box medical decisions: accuracy versus explainability

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Optimal probabilistic feature shifts for reclassification in tree ensembles Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Reference 23

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Optimal probabilistic feature shifts for reclassification in tree ensembles Optimal counterfactual explanations in tree ensembles, in: International conference on machine learning, PMLR

Reference 24

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Optimal probabilistic feature shifts for reclassification in tree ensembles Revisiting k-sum optimization

Reference 25

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Optimal probabilistic feature shifts for reclassification in tree ensembles In- terpretable machine learning: Fundamental principles and 10 grand challenges

Reference 26

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Optimal probabilistic feature shifts for reclassification in tree ensembles Interpretable counterfactual explanations guided by prototypes, in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer

Reference 27

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Optimal probabilistic feature shifts for reclassification in tree ensembles Counterfactual explanations and algorithmic recourses for machine learning: A review

Reference 28

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Optimal probabilistic feature shifts for reclassification in tree ensembles A survey of l1 regression

Reference 29

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Optimal probabilistic feature shifts for reclassification in tree ensembles Robust regression and lasso

Reference 30

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