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Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 100 of 143 outbound references and 0 inbound Pith citation observations for arXiv:2608.11140.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-12T05:27:17.637814Z
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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100 of 143 outbound references displayed
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c35d6d72-b235-413a-b13c-5e84c22e1062 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data Mitigating algorithmic bias through probability calibration: A case study on lead generation data , journal =
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4562537e-d8b3-4288-8ab6-574d6419134a · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data and Zhang, H
Reference 92
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7415c4c-4ce5-40a5-8b1e-106221b14625 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data and Hart, J
Reference 93
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 274769d9-5771-40cc-b38d-bab910fc1cb6 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data Unresolved cited work
Reference 94
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6235c08a-0f05-45c9-8571-2f83eb8d1ec0 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data Unresolved cited work
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7eb12ea8-0b75-4f8d-aff2-093450c95cdc · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data Unresolved cited work
Reference 96
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cc06ae9f-bffe-4b1d-bd3c-260524d63b61 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data and Schemper, M
Reference 97
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9920737d-bca6-46fe-9326-5a3e837bcc73 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data and Zhang, B
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dd02075c-8350-4db9-935f-5ad0cda75ee8 · outbound
Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data and Bowman, A
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 75aa7420-5d7e-4b90-81e2-b653ce579572 · outbound
Reference 100
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
No inbound Pith citation observations are available.