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voidly-corroboration-v1
emperor-mew/voidly-corroboration-v1
voidly-corroboration-v1 is a machine learning model from emperor-mew. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
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Updated May 22, 2026
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At a glance
- License
- cc-by-4.0
- Access
- Public
- Created
- May 22, 2026
- Updated
- May 22, 2026
- SHA
- 52063297
Model card
From the Hugging Face model README
Voidly Atlas Bayesian Corroboration v1
Version: v1 | License: CC BY 4.0
Multi-source Bayesian evidence fusion. Given conflicting signals from OONI, IODA, CensoredPlanet, and Voidly probes for a (country, domain, day), returns a calibrated posterior probability that the observation is real censorship.
Eval
| Metric | Value |
|---|---|
roc_auc | 0.9200 |
Honest caveats
- AUC 0.92 reflects evaluation on retained labels — model is a fusion layer over evidence, NOT a primary classifier.
- Source-conflict weights are hand-prior'd; full hierarchical Bayes is future work.
Citation
@misc{voidly_voidly_corroboration_v1,
title = {Voidly Atlas: voidly-corroboration-v1 (v1)},
author = {Voidly},
year = {2026},
url = {https://huggingface.co/emperor-mew/voidly-corroboration-v1},
note = {Open censorship-research ML stack. CC BY 4.0.}
}
- License
- cc-by-4.0
- Created
- May 22, 2026
- Updated
- May 22, 2026