Paper Citation Record · LEDGER

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2506.03531.

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

pith.paper-citation-record.v1
2506.03531 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:11.471675Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T19:15:52.773579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T16:53:00.131840Z

Reference resolution

66 of 66 outbound references displayed

verified exact1
verified fuzzy52
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ad5dd20-7dbe-40ba-b45a-aea57da938d3 · outbound

This paper cites Optimization with constraint learning: A framework and survey.European Journal of Operational Research, 314(1):1–14, 2024.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Optimization with constraint learning: A framework and survey.European Journal of Operational Research, 314(1):1–14, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:23.557627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87042e38-55fd-4ebd-8f33-deee3550c6ba · outbound

This paper cites Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:04.246324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02fa8c2f-f8ad-4987-aa21-780f957bff83 · outbound

This paper cites an unresolved cited work.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:09:23.384181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2ae3ed46-40be-4b40-a166-c865446da5bd · outbound

This paper cites Advances in surrogate based modeling, feasibility analysis, and optimization: A review.Computers & Chemical Engineering, 108: 250–267, 2018.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Advances in surrogate based modeling, feasibility analysis, and optimization: A review.Computers & Chemical Engineering, 108: 250–267, 2018

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:23.212275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9145fde5-753a-4f14-9eb7-025f5b3377a8 · outbound

This paper cites Machine learning-based surrogate modeling for data- driven optimization: a comparison of subset selection for regression techniques.Optimization Letters, 14(4):989–1010, 2020.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Machine learning-based surrogate modeling for data- driven optimization: a comparison of subset selection for regression techniques.Optimization Letters, 14(4):989–1010, 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:22.957961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29958b1a-f2d8-4156-b47e-bd3033359484 · outbound

This paper cites A surrogate-based framework for feasibility-driven optimization of expensive simulations.AIChE Journal, 70(5):e18364, 2024.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees A surrogate-based framework for feasibility-driven optimization of expensive simulations.AIChE Journal, 70(5):e18364, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:22.786974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8749fa4-4802-4558-9d0d-ab9c983224ad · outbound

This paper cites Mixed-integer optimization with constraint learning.Operations Research, 73(2):1011–1028, 2025.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Mixed-integer optimization with constraint learning.Operations Research, 73(2):1011–1028, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:22.527972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b855a0b2-8368-4c7c-a65e-d7b9dea35f58 · outbound

This paper cites Deep neural networks and mixed integer linear optimization.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Deep neural networks and mixed integer linear optimization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:22.290662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19c27ba3-d6fc-4a92-bf81-3836c31eec92 · outbound

This paper cites Relu networks as surrogate models in mixed-integer linear programs.Computers & Chemical Engineering, 131:106580, 2019.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Relu networks as surrogate models in mixed-integer linear programs.Computers & Chemical Engineering, 131:106580, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.990521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6663556-74e5-48f1-8447-a9791e730835 · outbound

This paper cites Strong mixed-integer programming formulations for trained neural networks.Mathematical Programming, 183(1):3–39, 2020.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Strong mixed-integer programming formulations for trained neural networks.Mathematical Programming, 183(1):3–39, 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.702195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 15fdbf11-5e21-4a9e-b965-0618b8243ce8 · outbound

This paper cites Mixed-integer convex nonlinear optimization with gradient-boosted trees embedded.IN- FORMS Journal on Computing, 33(3):1103–1119, 2021.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Mixed-integer convex nonlinear optimization with gradient-boosted trees embedded.IN- FORMS Journal on Computing, 33(3):1103–1119, 2021

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.476346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d57c0655-d978-4685-a44c-f84735562fa1 · outbound

This paper cites Tree ensemble kernels for bayesian optimization with known constraints over mixed-feature spaces.Advances in Neural Information Processing Systems, 35:37401–37415, 2022.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Tree ensemble kernels for bayesian optimization with known constraints over mixed-feature spaces.Advances in Neural Information Processing Systems, 35:37401–37415, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:21.173468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e17343b5-59df-4021-831d-d5ec5a00a84e · outbound

This paper cites Regression and classification using optimal decision trees.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Regression and classification using optimal decision trees

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:20.921718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 320ce0dc-211d-456a-8913-7191cbf43d8b · outbound

This paper cites Embedding decision trees and random forests in constraint programming.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Embedding decision trees and random forests in constraint programming

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:20.663844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47632fe0-ec5d-4b45-8766-c5c4c29a2cde · outbound

This paper cites Optimizing objective functions determined from random forests.Available at SSRN 2986630, 2017.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Optimizing objective functions determined from random forests.Available at SSRN 2986630, 2017

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:20.398445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fbffa00-19b2-41c3-8cd0-6ed32489b63c · outbound

This paper cites Optimization of tree ensembles.Operations Research, 68(5):1605–1624, 2020.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Optimization of tree ensembles.Operations Research, 68(5):1605–1624, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:20.196987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16733866-bf3f-42dc-8c33-9e22dfcba66e · outbound

This paper cites Linear model decision trees as surrogates in optimization of engineering applications.Computers & Chemical Engineering, 178:108347, 2023.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Linear model decision trees as surrogates in optimization of engineering applications.Computers & Chemical Engineering, 178:108347, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:20.009263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 23968612-19a9-46ef-aee4-a204ba64432f · outbound

This paper cites The trust region filter strategy: Survey of a rigorous approach for optimization with surrogate models.Digital Chemical Engineering, page 100197, 2024.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees The trust region filter strategy: Survey of a rigorous approach for optimization with surrogate models.Digital Chemical Engineering, page 100197, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:19.763426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 946275d6-d948-4c25-9548-cd942efe9619 · outbound

This paper cites Optimizing over an ensemble of trained neural networks.INFORMS Journal on Computing, 35(3):652–674, 2023.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Optimizing over an ensemble of trained neural networks.INFORMS Journal on Computing, 35(3):652–674, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:19.517412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c040cee-6074-4726-8523-5e1d76267497 · outbound

This paper cites A unified view of piecewise linear neural network verification.Advances in neural information processing systems, 31, 2018.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees A unified view of piecewise linear neural network verification.Advances in neural information processing systems, 31, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:19.310708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72e99312-d191-4458-b393-89c1b1abecf6 · outbound

This paper cites Evaluating Robustness of Neural Networks with Mixed Integer Programming.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Evaluating Robustness of Neural Networks with Mixed Integer Programming

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:06.368110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa46894-0b7b-4a89-b88a-410840c90691 · outbound

This paper cites Maximum resilience of artificial neural networks.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Maximum resilience of artificial neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:19.092983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ca55678-d130-4d03-8bff-b25d2d5ce0a8 · outbound

This paper cites An approach to reachability analysis for feed-forward ReLU neural networks.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees An approach to reachability analysis for feed-forward ReLU neural networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:06.573196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a956914-f36a-4f64-a471-eabe0d43e7b3 · outbound

This paper cites Efficient verification of relu-based neural networks via dependency analysis.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Efficient verification of relu-based neural networks via dependency analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:18.881995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2767abf3-9192-4cef-a3f2-d5180c25c90d · outbound

This paper cites Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:06.756849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f0922e-6f35-4d51-8d1b-39065d0ad2f8 · outbound

This paper cites Towards scalable complete verification of relu neural networks via dependency-based branching.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Towards scalable complete verification of relu neural networks via dependency-based branching

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:18.752882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 426a9ce5-6913-4310-b8b8-c1746c808f79 · outbound

This paper cites an unresolved cited work.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:09:18.610630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd59b71a-3d82-4197-92b1-11f8832db3cd · outbound

This paper cites Ead: elastic-net attacks to deep neural networks via adversarial examples.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Ead: elastic-net attacks to deep neural networks via adversarial examples

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:18.486083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78e8a8b6-6e7c-4a22-a70f-ba31cd9ce0ef · outbound

This paper cites Minimally distorted adversarial examples with a fast adaptive boundary attack.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Minimally distorted adversarial examples with a fast adaptive boundary attack

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:07.099054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b29d7cc-127a-40a6-8aee-4d310da25b63 · outbound

This paper cites Partition-based formu- lations for mixed-integer optimization of trained relu neural networks.Advances in neural information processing systems, 34:3068–3080, 2021.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Partition-based formu- lations for mixed-integer optimization of trained relu neural networks.Advances in neural information processing systems, 34:3068–3080, 2021

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:18.363835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e73c744-c82f-4432-815b-7fa9828afb56 · outbound

This paper cites Nonlinear hybrid planning with deep net ltearned transition models and mixed-integer linear programming.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Nonlinear hybrid planning with deep net ltearned transition models and mixed-integer linear programming

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:18.238209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e12c8d02-dabc-4310-9df2-4bc1035fa95b · outbound

This paper cites CAQL: Continuous Action Q-Learning.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees CAQL: Continuous Action Q-Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:07.484329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 357d7c3d-eff9-426c-928e-2d0264bc1752 · outbound

This paper cites Reinforcement learning with combinatorial actions: An application to vehicle routing.Advances in Neural Information Processing Systems, 33:609–620, 2020.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Reinforcement learning with combinatorial actions: An application to vehicle routing.Advances in Neural Information Processing Systems, 33:609–620, 2020

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:18.126121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c918a59c-1c52-48c7-979d-89e8bad3a7af · outbound

This paper cites Data-driven power system operation: Exploring the balance between cost and risk.IEEE Transactions on Power Systems, 34(1):791–801, 2018.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Data-driven power system operation: Exploring the balance between cost and risk.IEEE Transactions on Power Systems, 34(1):791–801, 2018

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.959090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c67179bc-ebcf-4701-9e66-ad1ebf6d2851 · outbound

This paper cites From decision trees and neural networks to milp: power system optimization considering dynamic stability constraints.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees From decision trees and neural networks to milp: power system optimization considering dynamic stability constraints

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.821468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33f4946c-7cc9-4c06-8ae1-ed1ce47e5ba7 · outbound

This paper cites An analytics approach to designing combination chemotherapy regimens for cancer.Management Science, 62(5):1511–1531, 2016.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees An analytics approach to designing combination chemotherapy regimens for cancer.Management Science, 62(5):1511–1531, 2016

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.689847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 725a0a97-c95e-4850-8006-2f5f39b55203 · outbound

This paper cites Integrating tactical planning, operational planning and scheduling using data-driven feasibility analysis.Computers & Chemical Engineering, 161:107759, 2022.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Integrating tactical planning, operational planning and scheduling using data-driven feasibility analysis.Computers & Chemical Engineering, 161:107759, 2022

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.557878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62c4be10-9b8e-4d8d-839e-e2b271b9e38a · outbound

This paper cites Integration of plant scheduling feasibility with supply chain network under disruptions using machine learning surrogates.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Integration of plant scheduling feasibility with supply chain network under disruptions using machine learning surrogates

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.420646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9661a74c-2890-438d-9ba7-ce55b5f0d455 · outbound

This paper cites Mixed-integer linear programming formulation with embedded machine learning surrogates for the design of chemical process families.Industrial & Engineering Chemistry Research, 2025.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Mixed-integer linear programming formulation with embedded machine learning surrogates for the design of chemical process families.Industrial & Engineering Chemistry Research, 2025

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.281428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e62ebc5-e920-421f-bd54-6c85cb02a7b6 · outbound

This paper cites Formulating data-driven surrogate models for process optimization.Computers & Chemical Engineering, 179:108411, 2023.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Formulating data-driven surrogate models for process optimization.Computers & Chemical Engineering, 179:108411, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.169893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8bdbb81a-9990-4a74-ab65-f4f5605bf3ee · outbound

This paper cites Reduced model trust region methods for embedding complex simulations in optimization problems.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Reduced model trust region methods for embedding complex simulations in optimization problems

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:17.039188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 774b41db-a367-4eae-b47d-15e3dfa11e37 · outbound

This paper cites Advanced trust region optimization strategies for glass box/black box models.AIChE Journal, 64(11):3934–3943, 2018.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Advanced trust region optimization strategies for glass box/black box models.AIChE Journal, 64(11):3934–3943, 2018

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:16.113249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42302236-43a7-4310-95d6-d8701a2b9fdb · outbound

This paper cites Nested conformal prediction and quantile out-of-bag ensemble methods.Pattern Recognition, 127:108496, 2022.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Nested conformal prediction and quantile out-of-bag ensemble methods.Pattern Recognition, 127:108496, 2022

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:08.628706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5109241-e357-4d7b-b0ce-472b1876a358 · outbound

This paper cites Candès, Aaditya Ramdas, and Ryan J.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Candès, Aaditya Ramdas, and Ryan J

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:14.778662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e4d95052-215f-4799-b95e-fc8ef4438011 · outbound

This paper cites Boosted conformal prediction intervals.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Boosted conformal prediction intervals

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:14.668755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ef226d0-778e-4fd6-8874-7bfc7ec7d496 · outbound

This paper cites Conformal inverse optimization.Advances in Neural Information Processing Systems, 37:63534–63564, 2024.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Conformal inverse optimization.Advances in Neural Information Processing Systems, 37:63534–63564, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:14.534511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37be7222-7076-4d51-9839-437b2b8e1926 · outbound

This paper cites Conformal Predictive Programming for Chance Constrained Optimization.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Conformal Predictive Programming for Chance Constrained Optimization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:09.044093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24775e60-dd38-4dca-9b0e-d60598dd0c6c · outbound

This paper cites Mixed integer linear programming formulation techniques.Siam Review, 57(1):3–57, 2015.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Mixed integer linear programming formulation techniques.Siam Review, 57(1):3–57, 2015

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:14.334726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b0506af-0849-4ed3-9d00-06a41e6a2a49 · outbound

This paper cites Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with baron.Optimization Methods and Software, 33(3):540–562, 2018.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with baron.Optimization Methods and Software, 33(3):540–562, 2018

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:14.232397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3616881a-e760-4e65-893a-a9273160e9bf · outbound

This paper cites Conformal prediction: Clas- sification and general case.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Conformal prediction: Clas- sification and general case

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:14.054589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a18e7b65-ef4c-4bb0-b221-74d699d367b8 · outbound

This paper cites Conformal prediction under covariate shift.Advances in neural information processing systems, 32, 2019.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Conformal prediction under covariate shift.Advances in neural information processing systems, 32, 2019

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:09.433664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 784f734e-38c0-4d02-9cf0-6a2ebcc753ad · outbound

This paper cites Theoretical Foundations of Conformal Prediction.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Theoretical Foundations of Conformal Prediction

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:09.767571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb468e85-92f8-4eae-84c5-ba82b069ed9a · outbound

This paper cites Classification with valid and adaptive coverage.Advances in neural information processing systems, 33:3581–3591, 2020.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Classification with valid and adaptive coverage.Advances in neural information processing systems, 33:3581–3591, 2020

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:09:09.879411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0bdc482-47b8-478a-aa7e-a4796d233816 · outbound

This paper cites Conformal prediction using conditional histograms.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Conformal prediction using conditional histograms

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:13.907977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d14d6eb-771a-42e4-8dfb-bf9d8be53ac8 · outbound

This paper cites Mondrianconfidence machine.Technical Report, 2003.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Mondrianconfidence machine.Technical Report, 2003

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:13.786622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25cdccee-6ef6-40d2-844b-b9bd4a92bb74 · outbound

This paper cites Inductive confidence machines for regression.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Inductive confidence machines for regression

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:13.601918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ea88108-af31-46e0-ac64-6c0681976fb4 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2024.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Gurobi Optimizer Reference Manual, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:13.470775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a03865c4-3da9-4873-902b-a14cba74317e · outbound

This paper cites Springer, 2021.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Springer, 2021

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:13.311232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a959bc8-fcf6-4f2e-8283-96165f84cce0 · outbound

This paper cites Omlt: Optimization & machine learning toolkit.Journal of Machine Learning Research, 23(349):1–8, 2022.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Omlt: Optimization & machine learning toolkit.Journal of Machine Learning Research, 23(349):1–8, 2022

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:13.028212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9328fc2d-0d7f-42d4-a3b4-184f34c99574 · outbound

This paper cites Nonlinear operability of a membrane reactor for direct methane aromatization.IFAC-PapersOnLine, 48(8):728–733, 2015.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Nonlinear operability of a membrane reactor for direct methane aromatization.IFAC-PapersOnLine, 48(8):728–733, 2015

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:12.908244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9747acf5-0a2e-44f8-916a-9f21e5cbde08 · outbound

This paper cites Novel operability-based approach for process design and intensification: Application to a membrane reactor for direct methane aromatization.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Novel operability-based approach for process design and intensification: Application to a membrane reactor for direct methane aromatization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:12.735598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f777ed4-f99d-4a7b-ad7f-efd8fd151c40 · outbound

This paper cites The nutritious supply chain: optimizing humanitarian food assistance.INFORMS Journal on Optimization, 3(2):200–226, 2021.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees The nutritious supply chain: optimizing humanitarian food assistance.INFORMS Journal on Optimization, 3(2):200–226, 2021

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:12.570037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 69613b3c-2b20-4433-a9f6-f571771d4363 · outbound

This paper cites When Deep Learning Meets Polyhedral Theory: A Survey.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees When Deep Learning Meets Polyhedral Theory: A Survey

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:09:11.767778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ef664d9-c779-4fb3-83df-3d011b50377b · outbound

This paper cites Improved big-m reformulation for general- ized disjunctive programs.Computers & Chemical Engineering, 76:98–103, 2015.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Improved big-m reformulation for general- ized disjunctive programs.Computers & Chemical Engineering, 76:98–103, 2015

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:12.342752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 155107fa-e168-406c-8cb7-d3fbbfd565d1 · outbound

This paper cites Opyrability: A python package for process operability analysis.Journal of Open Source Software, 9(94):5966, 2024.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Opyrability: A python package for process operability analysis.Journal of Open Source Software, 9(94):5966, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:12.158799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd310179-9827-45c3-ad0b-31d900896284 · outbound

This paper cites Good" and.

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Good" and

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:09:12.026491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 91e7bad2-a7ed-4d48-bbd8-0efe35bf3a39 · inbound

Efficient Convexification of Kolmogorov-Arnold Networks with Polynomial Functional Forms Via a Continuous Graham Scan Approach cites this paper.

Efficient Convexification of Kolmogorov-Arnold Networks with Polynomial Functional Forms Via a Continuous Graham Scan Approach Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:53:00.133364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9fb9abc-3f9f-4fb1-a06f-9eec52656d97 · inbound

Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations cites this paper.

Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T19:15:52.773579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.