Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:55:40.434618Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2608.00271.
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 2026-08-04T00:55:40.434618Z
One-hop event checks from named stored sources.
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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
76 of 76 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A reproducible and extensible framework for benchmarking competing risks survival models Austin and Douglas S
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A reproducible and extensible framework for benchmarking competing risks survival models and Witteman, Jacqueline C
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A reproducible and extensible framework for benchmarking competing risks survival models Advances in neural information processing systems , volume=
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A reproducible and extensible framework for benchmarking competing risks survival models Lifetime data analysis , volume=
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A reproducible and extensible framework for benchmarking competing risks survival models Biometrika , volume=
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A reproducible and extensible framework for benchmarking competing risks survival models and Andersen, Per K
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A reproducible and extensible framework for benchmarking competing risks survival models Competing Risks: Impact on Risk Estimation and Algorithmic Fairness
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A reproducible and extensible framework for benchmarking competing risks survival models Position: Stop Chasing the C-index when Evaluating Survival Analysis Models
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A reproducible and extensible framework for benchmarking competing risks survival models Comparative Review of Modern Competing Risk Methods in High-dimensional Settings
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