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Paper Citation Record · LEDGER

Counterfactual optimization for fault prevention in complex wind energy systems

As of 14 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2507.08849.

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

pith.paper-citation-record.v1
2507.08849 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:18:51.760624Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:04:16.957305Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation efb3d798-6c39-45d2-bd77-3fb4dc6ecae4 · outbound

This paper cites On the computation of counterfactual explanations -- A survey.

Counterfactual optimization for fault prevention in complex wind energy systems On the computation of counterfactual explanations -- A survey

Reference 1

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Source-reported events for the cited work

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Observation 7b40b444-a0d2-4f11-abb8-b2928bc44120 · outbound

This paper cites Mathematical optimization modelling for group counterfactual explanations.

Counterfactual optimization for fault prevention in complex wind energy systems Mathematical optimization modelling for group counterfactual explanations

Reference 2

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Observation 159935e7-c60b-4f32-a412-8b239c86cc24 · outbound

This paper cites Multi-objective counterfactual explana- tions, in: Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M., Trautmann, H.

Counterfactual optimization for fault prevention in complex wind energy systems Multi-objective counterfactual explana- tions, in: Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M., Trautmann, H

Reference 3

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Observation f41f57f0-4370-4185-bbb5-41bdf89f2ad7 · outbound

This paper cites Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization.

Counterfactual optimization for fault prevention in complex wind energy systems Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization

Reference 4

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Observation d44df92b-8fcc-4c25-8ba0-72505f014ffe · outbound

This paper cites On the optimized design of next-generation wind farms.

Counterfactual optimization for fault prevention in complex wind energy systems On the optimized design of next-generation wind farms

Reference 5

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Source-reported events for the cited work

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Observation a8e1bcf2-482a-43f7-9391-b495c8d031c4 · outbound

This paper cites Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks.

Counterfactual optimization for fault prevention in complex wind energy systems Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks

Reference 6

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verified fuzzy
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Source-reported events for the cited work

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Observation 4977ad60-cab7-4367-9717-e4ddbc5a56e3 · outbound

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

Counterfactual optimization for fault prevention in complex wind energy systems Deep neural networks and mixed integer linear optimization

Reference 7

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Source-reported events for the cited work

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Observation ac93248b-0391-4462-9dee-b7fad73fe80a · outbound

This paper cites Vattenfall opti- mizes offshore wind farm design.

Counterfactual optimization for fault prevention in complex wind energy systems Vattenfall opti- mizes offshore wind farm design

Reference 8

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Source-reported events for the cited work

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Observation 926c8185-1735-475f-9a6d-34c0ad994f7f · outbound

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

Counterfactual optimization for fault prevention in complex wind energy systems Counterfactual explanations and how to find them: literature review and benchmarking

Reference 9

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Observation ac855da0-2a89-4f11-a466-9e47ca3413a2 · outbound

This paper cites Factual and counterfactual explanations for black box decision making.

Counterfactual optimization for fault prevention in complex wind energy systems Factual and counterfactual explanations for black box decision making

Reference 10

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Source-reported events for the cited work

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Observation fc6ce7c0-546b-4be7-bff8-8f712f11849b · outbound

This paper cites Gurobi machine learning manual.

Counterfactual optimization for fault prevention in complex wind energy systems Gurobi machine learning manual

Reference 11

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Source-reported events for the cited work

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Observation 6be95289-8799-4d9a-b3f2-895794bdb4de · outbound

This paper cites Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems.

Counterfactual optimization for fault prevention in complex wind energy systems Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Reference 12

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Source-reported events for the cited work

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This paper cites Dace: Distribution-aware coun- terfactual explanation by mixed-integer linear optimization, in: Bessiere, C.

Counterfactual optimization for fault prevention in complex wind energy systems Dace: Distribution-aware coun- terfactual explanation by mixed-integer linear optimization, in: Bessiere, C

Reference 13

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Observation 6e7ded97-a420-4445-bff5-71e52dc7740b · outbound

This paper cites Distribution-aware counterfac- tual explanation by mixed-integer linear optimization.

Counterfactual optimization for fault prevention in complex wind energy systems Distribution-aware counterfac- tual explanation by mixed-integer linear optimization

Reference 14

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verified fuzzy
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Source-reported events for the cited work

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Observation 5be87e50-800b-4958-8258-f1c6b270f15c · outbound

This paper cites Model-agnostic counterfactual explana- tions for consequential decisions, in: Chiappa, S., Calandra, R.

Counterfactual optimization for fault prevention in complex wind energy systems Model-agnostic counterfactual explana- tions for consequential decisions, in: Chiappa, S., Calandra, R

Reference 15

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Source-reported events for the cited work

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Observation 7062576e-70da-429e-b64f-6a77d9d84278 · outbound

This paper cites Applications of machine learning to machine fault diagnosis: A review and roadmap.

Counterfactual optimization for fault prevention in complex wind energy systems Applications of machine learning to machine fault diagnosis: A review and roadmap

Reference 16

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Observation 90cd22c1-3ddb-43eb-b057-04d7ebebb81b · outbound

This paper cites Find- ing regions of counterfactual explanations via robust optimization.

Counterfactual optimization for fault prevention in complex wind energy systems Find- ing regions of counterfactual explanations via robust optimization

Reference 17

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This paper cites Mining pareto-optimal counterfac- tual antecedents with a branch-and-bound model-agnostic algorithm.

Counterfactual optimization for fault prevention in complex wind energy systems Mining pareto-optimal counterfac- tual antecedents with a branch-and-bound model-agnostic algorithm

Reference 18

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Observation 8a304785-f58e-40e5-a0aa-2f913fbbd31c · outbound

This paper cites Synthesizing action sequences for modifying model decisions.

Counterfactual optimization for fault prevention in complex wind energy systems Synthesizing action sequences for modifying model decisions

Reference 19

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Source-reported events for the cited work

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This paper cites scikit-learn: Machine learning in python.

Counterfactual optimization for fault prevention in complex wind energy systems scikit-learn: Machine learning in python

Reference 20

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Source-reported events for the cited work

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Observation e44c33f7-f4a3-47d8-bd21-1184bd4a46f4 · outbound

This paper cites A systematic analysis of performance measures for clas- sification tasks.

Counterfactual optimization for fault prevention in complex wind energy systems A systematic analysis of performance measures for clas- sification tasks

Reference 21

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Counterfactual optimization for fault prevention in complex wind energy systems Unresolved cited work

Reference 22

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Observation 740d2105-186c-402f-b050-f1bcc39e71cb · outbound

This paper cites Measurement 242, 116216.

Counterfactual optimization for fault prevention in complex wind energy systems Measurement 242, 116216

Reference 2025

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Pith citing papers

Observation b813b5f0-e0cc-49ef-a968-bc7b8d14cf8a · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Counterfactual optimization for fault prevention in complex wind energy systems

Reference 108

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arxiv_id, observed 2026-05-25T05:05:20.932846Z

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