Paper Citation Record · LEDGER

UGCE: User-Guided Incremental Counterfactual Exploration

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.21330.

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

pith.paper-citation-record.v1
2505.21330 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:53.478274Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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

45 of 45 outbound references displayed

verified exact0
verified fuzzy41
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99585ae8-e3ed-483d-99b2-c53ab56f223d · outbound

This paper cites Siddiqi, Credit risk scorecards: developing and implementing intel- ligent credit scoring.

UGCE: User-Guided Incremental Counterfactual Exploration Siddiqi, Credit risk scorecards: developing and implementing intel- ligent credit scoring

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:02.557956Z

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Observation c57ab3af-1947-4dfa-ac42-842444cec746 · outbound

This paper cites Grade: Machine learning support for graduate admissions,.

UGCE: User-Guided Incremental Counterfactual Exploration Grade: Machine learning support for graduate admissions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:02.324418Z

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Observation b3c8b926-08a7-49fa-b373-b2216283d63c · outbound

This paper cites Psychology meets machine learning: Interdisciplinary perspectives on algorithmic job candidate screening,.

UGCE: User-Guided Incremental Counterfactual Exploration Psychology meets machine learning: Interdisciplinary perspectives on algorithmic job candidate screening,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:02.132002Z

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Observation 921648e0-4289-4498-a01b-d743f4007398 · outbound

This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.

UGCE: User-Guided Incremental Counterfactual Exploration The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:01.827516Z

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Observation 9f127de4-c70c-4250-b1f2-9cba3c664542 · outbound

This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, oppor- tunities and challenges toward responsible ai,.

UGCE: User-Guided Incremental Counterfactual Exploration Explainable artificial intelligence (xai): Concepts, taxonomies, oppor- tunities and challenges toward responsible ai,

Reference 5

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Source-reported events for the cited work

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Observation a995d9b9-e6b1-4f38-9eaa-98124e66d21a · outbound

This paper cites Molnar, Interpretable machine learning.

UGCE: User-Guided Incremental Counterfactual Exploration Molnar, Interpretable machine learning

Reference 6

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Source-reported events for the cited work

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Observation ca895f52-64f3-4c95-9b08-c71e078d1c41 · outbound

This paper cites Counterfactual explanations and algorithmic recourses for machine learning: A review,.

UGCE: User-Guided Incremental Counterfactual Exploration Counterfactual explanations and algorithmic recourses for machine learning: A review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:01.517148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 980e2a92-db56-47c9-8558-e879f1404dc4 · outbound

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

UGCE: User-Guided Incremental Counterfactual Exploration Benchmarking and survey of explanation methods for black box models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:01.297291Z

Source-reported events for the cited work

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Observation 9df052be-be15-40eb-ab06-5b836a2ceb03 · outbound

This paper cites Explainable ai (xai): Core ideas, techniques, and solutions,.

UGCE: User-Guided Incremental Counterfactual Exploration Explainable ai (xai): Core ideas, techniques, and solutions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:01.057048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20df8a43-01cf-4a33-bd7d-32dfdb6f34b4 · outbound

This paper cites Peeking inside the black-box: a survey on explainable artificial intelligence (xai),.

UGCE: User-Guided Incremental Counterfactual Exploration Peeking inside the black-box: a survey on explainable artificial intelligence (xai),

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:00.744524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b1c134a-ba12-45cd-9388-3251e3e2668e · outbound

This paper cites Counterfactual explanations and how to find them: litera- ture review and benchmarking,.

UGCE: User-Guided Incremental Counterfactual Exploration Counterfactual explanations and how to find them: litera- ture review and benchmarking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:00.518024Z

Source-reported events for the cited work

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Observation 10920fbc-a18e-4b8a-b7c4-7aedd97c8a2a · outbound

This paper cites On explaining unfairness: An overview,.

UGCE: User-Guided Incremental Counterfactual Exploration On explaining unfairness: An overview,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:00.333456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f845731-a758-4e59-a7d9-fa5feea19606 · outbound

This paper cites A survey on graph counterfactual explanations: definitions, methods, evaluation, and research challenges,.

UGCE: User-Guided Incremental Counterfactual Exploration A survey on graph counterfactual explanations: definitions, methods, evaluation, and research challenges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:36:00.100103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79abfaf7-2b0a-4a1b-aacd-e1f2a234be64 · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr,.

UGCE: User-Guided Incremental Counterfactual Exploration Counterfactual explanations without opening the black box: Automated decisions and the gdpr,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:59.918404Z

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Observation 813d9bc0-7fab-4cdf-8075-c04d2ec79239 · outbound

This paper cites Face: feasible and actionable counterfactual explanations,.

UGCE: User-Guided Incremental Counterfactual Exploration Face: feasible and actionable counterfactual explanations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:59.643837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c86e2f3a-f4dd-4da7-b405-e44db8d2b065 · outbound

This paper cites Explaining machine learning classifiers through diverse counterfactual explanations,.

UGCE: User-Guided Incremental Counterfactual Exploration Explaining machine learning classifiers through diverse counterfactual explanations,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:59.359121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a435f266-6d3d-4741-9e27-53e14d49aa9a · outbound

This paper cites Dece: Decision explorer with counter- factual explanations for machine learning models,.

UGCE: User-Guided Incremental Counterfactual Exploration Dece: Decision explorer with counter- factual explanations for machine learning models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:59.146649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b19f885-cd6b-4e7a-9a70-52dd7f0d2067 · outbound

This paper cites Vice: Visual counterfac- tual explanations for machine learning models,.

UGCE: User-Guided Incremental Counterfactual Exploration Vice: Visual counterfac- tual explanations for machine learning models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.957424Z

Source-reported events for the cited work

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Observation de150d0a-4553-4b61-8e15-2b58c1499a41 · outbound

This paper cites Gam coach: Towards interactive and user-centered algorithmic recourse,.

UGCE: User-Guided Incremental Counterfactual Exploration Gam coach: Towards interactive and user-centered algorithmic recourse,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.790197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35d88d3e-ee16-40af-a2e3-7b123e1db026 · outbound

This paper cites Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models.

UGCE: User-Guided Incremental Counterfactual Exploration Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models

Reference 20

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Source-reported events for the cited work

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Observation 0c8b052c-6ca5-4c0c-a0d0-5c2e6a649d75 · outbound

This paper cites The what-if tool: Interactive probing of machine learning models,.

UGCE: User-Guided Incremental Counterfactual Exploration The what-if tool: Interactive probing of machine learning models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.716986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22617b6b-1b43-4915-b7a8-86cafdf74346 · outbound

This paper cites Interacting with predictions: Visual inspection of black-box machine learning models,.

UGCE: User-Guided Incremental Counterfactual Exploration Interacting with predictions: Visual inspection of black-box machine learning models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.610170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88e7f65c-2e53-44ac-b509-a3f7a67cbffe · outbound

This paper cites Nonstationary function optimization using genetic algorithm with dominance and diploidy,.

UGCE: User-Guided Incremental Counterfactual Exploration Nonstationary function optimization using genetic algorithm with dominance and diploidy,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:58.453516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ab5ddcf-693e-4649-8e87-cd8fdc2e9bbb · outbound

This paper cites an unresolved cited work.

UGCE: User-Guided Incremental Counterfactual Exploration Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63995f34-7fac-44a2-8116-fd1822bb8d25 · outbound

This paper cites Genetic algorithms for changing environments,.

UGCE: User-Guided Incremental Counterfactual Exploration Genetic algorithms for changing environments,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:57.991865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f693633f-0db1-4b93-83e3-6a2ae6cb2689 · outbound

This paper cites A comparative study of steady state and generational genetic algorithms for use in nonstationary environments,.

UGCE: User-Guided Incremental Counterfactual Exploration A comparative study of steady state and generational genetic algorithms for use in nonstationary environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:57.740562Z

Source-reported events for the cited work

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Observation ccddc1eb-378b-4af4-bea7-a716f209646c · outbound

This paper cites Memory enhanced evolutionary algorithms for changing optimization problems,.

UGCE: User-Guided Incremental Counterfactual Exploration Memory enhanced evolutionary algorithms for changing optimization problems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:57.574735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1cd4d69-c7ad-4764-9ad5-1d5e6b55cb47 · outbound

This paper cites Genetic algorithms for open shop scheduling and re-scheduling,.

UGCE: User-Guided Incremental Counterfactual Exploration Genetic algorithms for open shop scheduling and re-scheduling,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:57.253897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 883364f1-17b9-4a59-8649-a5762576ea54 · outbound

This paper cites Adaptation to changing environ- ments by means of the memory based thermodynamical genetic algo- rithm,.

UGCE: User-Guided Incremental Counterfactual Exploration Adaptation to changing environ- ments by means of the memory based thermodynamical genetic algo- rithm,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.947855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34f290df-6978-46c5-b27f-85f70e58a9f1 · outbound

This paper cites Case-based initialization of genetic algorithms.

UGCE: User-Guided Incremental Counterfactual Exploration Case-based initialization of genetic algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.776377Z

Source-reported events for the cited work

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Observation dfa4d8bc-7642-47f6-bba9-0649f639a424 · outbound

This paper cites Memory-based immigrants for genetic algorithms in dynamic environments,.

UGCE: User-Guided Incremental Counterfactual Exploration Memory-based immigrants for genetic algorithms in dynamic environments,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.565085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d2e3a85-6c22-4d00-bb12-36b3f98d1bb4 · outbound

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

UGCE: User-Guided Incremental Counterfactual Exploration Factual and counterfactual explanations for black box decision making,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.387971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99a0d32a-14ff-44cb-9e18-6954250eaeb4 · outbound

This paper cites Certifai: A common framework to provide explanations and analyse the fairness and robustness of black- box models,.

UGCE: User-Guided Incremental Counterfactual Exploration Certifai: A common framework to provide explanations and analyse the fairness and robustness of black- box models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.217667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7dbb9dd-4878-46f1-a9e9-41d1c628de27 · outbound

This paper cites Dace: Distribution-aware counterfactual explanation by mixed-integer linear optimization.

UGCE: User-Guided Incremental Counterfactual Exploration Dace: Distribution-aware counterfactual explanation by mixed-integer linear optimization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:56.038409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3b9c807-f52f-48a3-b5e6-87791fe1afa7 · outbound

This paper cites Actionable recourse in linear classification,.

UGCE: User-Guided Incremental Counterfactual Exploration Actionable recourse in linear classification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.870748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65277b97-0b10-4071-b99c-f02ef5072a3c · outbound

This paper cites Precof: counterfactual expla- nations for fairness,.

UGCE: User-Guided Incremental Counterfactual Exploration Precof: counterfactual expla- nations for fairness,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.681294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2e9f4ec-26e6-4bc9-bc95-01d156ef3c7b · outbound

This paper cites Efficient search for diverse coherent explanations,.

UGCE: User-Guided Incremental Counterfactual Exploration Efficient search for diverse coherent explanations,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.478653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e041821-cbf4-484c-9417-79a6160e92b5 · outbound

This paper cites Gen- erating robust counterfactual explanations,.

UGCE: User-Guided Incremental Counterfactual Exploration Gen- erating robust counterfactual explanations,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:55.165998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bfd9be91-bf28-4820-945b-f14235e4733e · outbound

This paper cites Designing evolutionary algorithms for dy- namic optimization problems,.

UGCE: User-Guided Incremental Counterfactual Exploration Designing evolutionary algorithms for dy- namic optimization problems,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.987042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db80d7d7-639c-4e73-9128-1ef0220d51f5 · outbound

This paper cites Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelli- gence.

UGCE: User-Guided Incremental Counterfactual Exploration Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelli- gence

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.751228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cde602d6-c833-459a-ba88-8a5ea74af913 · outbound

This paper cites An algorithm for finding best matches in logarithmic expected time,.

UGCE: User-Guided Incremental Counterfactual Exploration An algorithm for finding best matches in logarithmic expected time,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.491061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7f27d1d-2986-4e48-84d6-6eb54a041b7e · outbound

This paper cites Reducing bias and inefficiency in the selection algorithm,.

UGCE: User-Guided Incremental Counterfactual Exploration Reducing bias and inefficiency in the selection algorithm,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.306485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4da46eb-c83b-4790-8f7a-5de274bc1ee8 · outbound

This paper cites Determining best practices for using genetic algorithms in molecular discovery,.

UGCE: User-Guided Incremental Counterfactual Exploration Determining best practices for using genetic algorithms in molecular discovery,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:54.127304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 408cecbd-2887-40f5-9935-e6c5db669048 · outbound

This paper cites A genetic algorithm for the automated generation of small organic molecules: drug design using an evolutionary algorithm,.

UGCE: User-Guided Incremental Counterfactual Exploration A genetic algorithm for the automated generation of small organic molecules: drug design using an evolutionary algorithm,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:53.905430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ab5ec64-59f5-494a-9840-70c6851a9781 · outbound

This paper cites Effect of the genetic algorithm parameters on the optimisation of heterogeneous catalysts,.

UGCE: User-Guided Incremental Counterfactual Exploration Effect of the genetic algorithm parameters on the optimisation of heterogeneous catalysts,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:35:53.690165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.