Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T10:23:29.661956Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 100 of 159 outbound references and 0 inbound Pith citation observations for arXiv:2607.24622.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T10:23:29.661956Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 159 outbound references displayed
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Observation 0329bed7-f6c1-4c1a-a41f-1f2dc7e17c5a · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection , title =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Intelligent Data Analysis , volume =
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Observation 4b2d9caa-ea4f-4a9f-aea3-c8ebaec0b9fa · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection and Jordan, Michael I
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection , title =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection and Laird, Nan M
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection , title =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Statistics & Probability Letters , volume =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Haberman , title =
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Observation 410ceb3d-f7fa-4df2-ab5f-7270241f1f84 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Wainwright and Bin Yu , title =
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Observation 666fb39b-179f-411c-b128-1d8414506bab · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection 2019 , eprint=
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Observation b55d74b1-f7e9-4b75-b582-1bee31f3fb57 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection 2023 , eprint=
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Observation 517330bc-b838-40b6-acdc-0708924882fb · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection International Conference on Machine Learning , pages=
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Bayes-Optimal Classifiers under Group Fairness
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Observation 4de562a0-4c71-4bc2-a41e-617bcb04dd63 · outbound
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Proceedings of 2nd Workshop on Diversity in Artificial Intelligence (AIDBEI) , year =
Reference 21
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Unresolved cited work
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Observation 1bfa7d52-f093-4998-af75-fb2f7ec129fa · outbound
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Fairness definitions explained , doi =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection 2018 , eprint=
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Observation 3967d605-fa8e-4b3a-aca9-019800e92117 · outbound
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Observation 6b6820c7-6857-4135-8a41-0112f28d5eb8 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection The distance function and Lipschitz classes of mappings between metric spaces , volume =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Equality of Opportunity in Supervised Learning
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Algorithmic decision making and the cost of fairness
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Observation d0f49751-5ae0-4dca-9683-283ca36cc69f · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Journal of Machine Learning Research , year =
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Observation e8d1a550-f056-469b-8a9a-09e6b4e0c72d · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection The Risk of Racial Bias in Hate Speech Detection
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Consistency of weighted majority votes , volume =
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Observation d3ab4e0c-6dd6-4aa7-b5b4-9ce3afb5ae23 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Advances in Neural Information Processing Systems , volume=
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Observation 2cdd5741-68a1-4469-a185-42cc8a80a935 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Advances in Neural Information Processing Systems , volume=
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Observation b55b61c8-adee-4d6d-acdf-46b5ddbe0f88 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection World Wide Web Conference , pages=
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Observation 6d83c4cd-160d-487d-bf77-bb3a6e644c93 · outbound
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Conference on Empirical Methods in Natural Language Processing and the International Joint Conference on Natural Language Processing , pages=
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Observation 913ba667-bfad-4d51-a3c6-df3b866ee41d · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection International Conference on Machine Learning , pages =
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Observation 7187c559-038e-4610-b270-432a5692394a · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Advances in Neural Information Processing Systems , volume =
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection 2019 , eprint=
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Observation 11c302d7-bda6-4839-80c5-357b4134b45b · outbound
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Observation 1170d7ff-a4ec-4b22-86e0-ed6269cc27e9 · outbound
A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Maximum Likelihood Estimation of Observer Error-Rates Using the
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Civil Engineering and Environmental Systems , volume=
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A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
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