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cs.AI2026
Stable Miscalibration in Large Language Models: A Practical View of High-Confidence Errors
Akira Okutomi
High-confidence errors in large language models are often treated as evidence of fragile internal inference. We study a different possibility: stable miscalibration, where a confid…
cs.AI2025
False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs
Akira Okutomi
High-confidence errors in large language models are often treated as fragile failures. We study an alternative: some errors may be false fixed points, locally stable, internally co…