rizzdeep/scoutroute-phase1-calibration

ScoutRoute Phase 1 Calibration Data Per-question outputs and confidence signals from five small open-weight LLMs, collected during the exploratory first phase of the ScoutRoute project. The study asks whether a model's stated (verbalised) confidence or its answer-token confidence is a better signal of whether it will answer a question correctly. Related paper: ScoutRoute: Efficient Mixture-of-Experts Routing Using Internal Language Model Signals (arXiv:2610.23443).… See the full description on the dataset page: https://huggingface.co/datasets/rizzdeep/scoutroute-phase1-calibration.

<iframe src="https://silytics.si/embed/item/ca25b9c0-5bcf-46d2-9273-6db1e8a87bf3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.