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Paper Citation Record · LEDGER

Coherent Local Explanations for Mathematical Optimization

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2502.04840.

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

pith.paper-citation-record.v1
2502.04840 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:20:04.645099Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:55:29.514430Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:27.611368Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact13
  • verified fuzzy9
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External citation measurements

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Outbound references

Observation 8b028d13-28ab-448a-801e-8a57df2fee66 · outbound

This paper cites Peeking Inside the Black-Box: A Survey on Explain- able Artificial Intelligence (XAI).

Coherent Local Explanations for Mathematical Optimization Peeking Inside the Black-Box: A Survey on Explain- able Artificial Intelligence (XAI)

Reference 1

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Observation 8fad06fe-8f03-456b-803c-aaf116f33e24 · outbound

This paper cites A Framework for Data-Driven Explainability in Mathematical Optimization.

Coherent Local Explanations for Mathematical Optimization A Framework for Data-Driven Explainability in Mathematical Optimization

Reference 2

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Observation 09195668-33f0-4bd3-a5f5-0827f67115e9 · outbound

This paper cites Machine learning for combinatorial optimization: a methodological tour d’horizon.

Coherent Local Explanations for Mathematical Optimization Machine learning for combinatorial optimization: a methodological tour d’horizon

Reference 3

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Observation a30722a5-8472-4222-b4a0-3c5db5b38523 · outbound

This paper cites Introduction to linear optimization, volume 6.

Coherent Local Explanations for Mathematical Optimization Introduction to linear optimization, volume 6

Reference 4

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Observation f2c132e7-f22f-405e-b721-3e98b0583b04 · outbound

This paper cites Benchmarking and survey of explanation methods for black box models.

Coherent Local Explanations for Mathematical Optimization Benchmarking and survey of explanation methods for black box models

Reference 5

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Observation 4bd8a1f4-41a5-4968-915a-f8f9d02d477b · outbound

This paper cites Sensitivity analysis: A review of recent advances.

Coherent Local Explanations for Mathematical Optimization Sensitivity analysis: A review of recent advances

Reference 6

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Observation 06bb4226-dcac-4193-be2d-c5f8980d48b4 · outbound

This paper cites Convex optimization.

Coherent Local Explanations for Mathematical Optimization Convex optimization

Reference 7

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Observation 526a0281-ba28-4180-b456-379a9b092d0e · outbound

This paper cites Subgradient methods.

Coherent Local Explanations for Mathematical Optimization Subgradient methods

Reference 8

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Observation 1acf3a90-2d09-4e3b-9951-186c863e24b5 · outbound

This paper cites Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey.

Coherent Local Explanations for Mathematical Optimization Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 9

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Observation 8faec45e-649b-475f-b476-4f94a75a836f · outbound

This paper cites Why model why? Assessing the strengths and limitations of LIME.

Coherent Local Explanations for Mathematical Optimization Why model why? Assessing the strengths and limitations of LIME

Reference 10

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Observation 845da17b-ed5c-451e-a128-75b441280473 · outbound

This paper cites Explainable AI (XAI): Core Ideas, Techniques, and Solutions.

Coherent Local Explanations for Mathematical Optimization Explainable AI (XAI): Core Ideas, Techniques, and Solutions

Reference 11

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Observation b3e89a47-a68e-4fe7-a949-76ecf7d606e1 · outbound

This paper cites Explainable Data-Driven Optimization: From Context to Decision and Back Again.

Coherent Local Explanations for Mathematical Optimization Explainable Data-Driven Optimization: From Context to Decision and Back Again

Reference 12

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Observation cb805b86-7449-4735-83bb-d1a0f1ff9655 · outbound

This paper cites Or-tools routing library.

Coherent Local Explanations for Mathematical Optimization Or-tools routing library

Reference 13

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Observation 9badc9de-09ca-4871-9190-63784557fd83 · outbound

This paper cites Shortest path algorithms.

Coherent Local Explanations for Mathematical Optimization Shortest path algorithms

Reference 14

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Observation 5721a033-0e80-4f8c-b535-218623219910 · outbound

This paper cites A framework for inherently interpretable optimization models.

Coherent Local Explanations for Mathematical Optimization A framework for inherently interpretable optimization models

Reference 15

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Observation 3c82ca4c-6bd9-4352-950d-2122dcd0d3d2 · outbound

This paper cites Counterfactual explanations and how to find them: literature review and benchmarking.

Coherent Local Explanations for Mathematical Optimization Counterfactual explanations and how to find them: literature review and benchmarking

Reference 16

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Observation 91db2cfc-36a5-4a17-9df4-c49afba79263 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2024.

Coherent Local Explanations for Mathematical Optimization Gurobi Optimizer Reference Manual, 2024

Reference 17

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Observation e9339336-8616-4148-9217-43901655cbad · outbound

This paper cites A review on global sensitivity analysis methods.

Coherent Local Explanations for Mathematical Optimization A review on global sensitivity analysis methods

Reference 18

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Observation fa192c11-c2c7-4e69-ae2e-e880c63e112a · outbound

This paper cites A note on the lifted Miller–Tucker–Zemlin subtour elimination constraints for the capacitated vehicle routing problem.

Coherent Local Explanations for Mathematical Optimization A note on the lifted Miller–Tucker–Zemlin subtour elimination constraints for the capacitated vehicle routing problem

Reference 19

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Observation 3a9dfc3d-38ec-4e3e-a2f7-e1ec5a561166 · outbound

This paper cites Christopher Beck.

Coherent Local Explanations for Mathematical Optimization Christopher Beck

Reference 20

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Observation 36377bfb-b816-4f09-89bf-4c847a31c82d · outbound

This paper cites Christopher Beck.

Coherent Local Explanations for Mathematical Optimization Christopher Beck

Reference 21

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Observation a6d73250-b9c6-4abd-8fdd-10986e6adb2c · outbound

This paper cites Counterfactual Explanations for Linear Optimization.

Coherent Local Explanations for Mathematical Optimization Counterfactual Explanations for Linear Optimization

Reference 22

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Observation 6a2a69fb-e80e-467a-9763-4465414d94a6 · outbound

This paper cites Explainable AI: A Review of Machine Learning Interpretability Methods.

Coherent Local Explanations for Mathematical Optimization Explainable AI: A Review of Machine Learning Interpretability Methods

Reference 23

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Observation 0f06bc45-227c-4701-b111-dbdefd52576f · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

Coherent Local Explanations for Mathematical Optimization A Unified Approach to Interpreting Model Predictions

Reference 24

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Observation 5041840a-cbb0-4b97-9760-0f662e88cdda · outbound

This paper cites Xiang Wang, Y.

Coherent Local Explanations for Mathematical Optimization Xiang Wang, Y

Reference 25

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Coherent Local Explanations for Mathematical Optimization Unresolved cited work

Reference 26

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Coherent Local Explanations for Mathematical Optimization Operational research: methods and applications

Reference 27

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This paper cites Where are the hard knapsack problems? Computers & Operations Research, 32(9):2271–2284, September 2005.

Coherent Local Explanations for Mathematical Optimization Where are the hard knapsack problems? Computers & Operations Research, 32(9):2271–2284, September 2005

Reference 28

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Observation 8eae021b-9959-4b03-ac4a-efd180395e26 · outbound

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Coherent Local Explanations for Mathematical Optimization Unresolved cited work

Reference 29

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Observation 0ed03c23-04d8-4aba-ad92-db85f32cd092 · outbound

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Coherent Local Explanations for Mathematical Optimization Why Should I Trust You?

Reference 30

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Observation 0c689753-c112-409e-a10e-881fbcfc7746 · outbound

This paper cites Improving LIME Robustness with Smarter Locality Sampling.

Coherent Local Explanations for Mathematical Optimization Improving LIME Robustness with Smarter Locality Sampling

Reference 31

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Coherent Local Explanations for Mathematical Optimization Machine learning augmented branch and bound for mixed integer linear programming

Reference 32

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Observation d689d47a-4c4b-4630-8ba6-8000b54c2f50 · outbound

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Coherent Local Explanations for Mathematical Optimization ALIME: Autoencoder Based Approach for Local Interpretability

Reference 33

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Observation 69423f90-2dc1-4bea-bb25-d6625cc76962 · outbound

This paper cites Lectures on parametric optimization: An introduction.

Coherent Local Explanations for Mathematical Optimization Lectures on parametric optimization: An introduction

Reference 34

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Observation 842ac5ea-f71a-4623-83e8-9f57778bda91 · outbound

This paper cites Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models.

Coherent Local Explanations for Mathematical Optimization Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models

Reference 35

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Observation 27bbca30-9f6c-4582-a87e-1539650063c1 · outbound

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Coherent Local Explanations for Mathematical Optimization Unresolved cited work

Reference 36

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Observation 7389e919-bfdd-4296-9bdf-647bd191edf2 · outbound

This paper cites Integer programming.

Coherent Local Explanations for Mathematical Optimization Integer programming

Reference 37

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Source-reported events for the cited work

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This paper cites Deterministic Local Interpretable Model- Agnostic Explanations for Stable Explainability.

Coherent Local Explanations for Mathematical Optimization Deterministic Local Interpretable Model- Agnostic Explanations for Stable Explainability

Reference 38

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This paper cites "Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations.

Coherent Local Explanations for Mathematical Optimization "Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations

Reference 39

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This paper cites S-LIME: Stabilized-LIME for Model Explanation.

Coherent Local Explanations for Mathematical Optimization S-LIME: Stabilized-LIME for Model Explanation

Reference 40

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This paper cites URL https://www.sciencedirect.com/science/ article/pii/S0377221715005469.

Coherent Local Explanations for Mathematical Optimization URL https://www.sciencedirect.com/science/ article/pii/S0377221715005469

Reference 2217

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Pith citing papers

Observation 87be81dd-575d-4389-ad25-04009aba1073 · inbound

Explainable Optimization: A Call for Interdisciplinary Action cites this paper.

Explainable Optimization: A Call for Interdisciplinary Action Coherent Local Explanations for Mathematical Optimization

Reference 10

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