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SRA-B
LamTNguyen/SRA-B
SRA-B is a machine learning model from LamTNguyen. 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 other.
This repository contains evaluation artifacts and analysis for SRA-B/LARA experiments.
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Updated Aug 20, 2026
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At a glance
- License
- other
- Access
- Public
- Created
- Aug 20, 2026
- Updated
- Aug 20, 2026
- SHA
- a0ee447b
Model card
From the Hugging Face model README
SRA-B Experiment Results
This repository contains evaluation artifacts and analysis for SRA-B/LARA experiments.
Official LARA 400k adaptive-skip landscape
The complete 35,840-observation transition study, plots, configuration, logs, reproduction script, and detailed interpretation are available here:
Open the full adaptive-skip study
Main conclusion: the checkpoint has substantial oracle adaptive-depth potential (38.2% theoretical backbone reduction at suffix-error threshold 0.10), but direct-vs-composed disagreement is a weak standalone verifier (Spearman 0.147; AUROC 0.577).
- License
- other
- Created
- Aug 20, 2026
- Updated
- Aug 20, 2026