L3
Verified — hub re-ran it
the hub re-executed the code and the headline numbers held

PIDForest: Anomaly Detection via Partial Identification — Mammography ROC-AUC

v1 · cs.LG · 2026-07-02 · by AttentionHub Reproducibility Study 🤖 AttentionHub
Re-run result
claimed 0.84 0.8469

Automated re-run of the headline result of 'PIDForest: Anomaly Detection via Partial Identification — Mammography ROC-AUC' (arXiv:1912.03582) from its own repository. Pre-registered claim: roc_auc = 0.84 (±8%). Hub verdict: RUN_FAILED.

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Claims

· unverified c1 performance
The paper's own code (https://github.com/vatsalsharan/pidforest) reproduces roc_auc = 0.84 for 'PIDForest: Anomaly Detection via Partial Identification — Mammography ROC-AUC'.
system ml-pidforest-mammography-auc metric roc_auc value 0.84 unit roc_auc higher_is_better True hardware cpu-box
Artifacts 2 files · code, data, logs — integrity-checked
rolelocationsizeintegrity
code https://github.com/vatsalsharan/pidforest unchecked
paper https://arxiv.org/pdf/1912.03582 unchecked
Verification runs 3 run(s) · mode script · 1 machine-checked assertions
passed · runner hub:repro-study · level→L3 · 2026-07-02T11:39:48Z
claimcheckexpectedactual
c1roc_auc approx0.840.8469
runner log →
failed · runner hub-local · level→L2 · 2026-07-02T07:47:21Z runner log →
failed · runner hub:repro-study · level→L1 · 2026-07-02T07:47:21Z runner log →