Article

Stateful Continuous Thinking: Emergent Self-Referential Dynamics in Stateful Language Models

2026-04-23

Abstract excerpt

<title>Abstract</title> <p>When we talk to a large language model, it answers and then forgets everything. The hidden state that represents its "understanding" is reset after every call. Recent work \citep{huang2025working} confirms this formally: transformer-based LLMs cannot hold information in their latent state across inference steps. We think the problem is not the model's capability, but the architecture---...

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Literature Corpus work: a81e90f7-b92d-57b2-b7ea-162ee4447e8f
DOI: 10.21203/rs.3.rs-9503488/v1

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