# Research feedback requested: Epistemic Shield — adversarial epistemic calibration for LLM outputs

> Source: <https://discuss.huggingface.co/t/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration-for-llm-outputs/179159#post_1>
> Published: 2026-08-23 18:07:09+00:00

I built an experimental framework that treats an LLM’s first answer as a provisional hypothesis rather than as publishable output.

The pipeline:

The conceptual motivation is what I call an **“impostor-like epistemic mechanism”**: deliberately introducing structured skepticism when the cost of unsupported assertions is high.

I am looking for technical criticism, suggestions for benchmarks, and collaborators interested in testing whether this architecture actually improves calibration or hallucination resistance.

Code and documentation: [sam-siram/epistemic-shield: Framework de Calibración Epistémica, Autocrítica Adversarial y Penalización Asimétrica para LLMs.](https://github.com/sam-siram/epistemic-shield/)