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SOMA: Continuous Monitoring and Intervention for System Two Reasoning with System One Models

Ruizhi Qian, Lei Shi, Tianyu Hu, Bo Yan, Song Wang, Yu Tian · 2026 · arXiv

DOI: 10.48550/arXiv.2610.26793 · open-access PDF

German

Bei Menschen trennt die Metakognition die Überwachung von der Kontrolle: schnelle, intuitive Signale beobachten, während langsam, bewusste Argumente entfalten und helfen, zu entscheiden, ob man weitermachen, den Kurs ändern oder aufhören soll. System One (S1) Entscheidungsmodelle, wie Jev, sind ein natürlicher Kandidat für diese Rolle: Sie geben eine kalibrierte Wahrscheinlichkeit für eine natürlichsprachige Frage über einen Text in einem schnellen Anruf zurück, aber sie werden nur als Tore vor der Argumentation verwendet.

Machine translation (Meta M2M100); the English original follows.

Abstract

Reasoning models often run into problems without noticing them, even when symptoms are visible in their own text. In humans, metacognition separates monitoring from control: fast, intuitive signals keep watch while slow, deliberate reasoning unfolds and help decide whether to continue, change course, or stop. System One (S1) decision models, such as Jev, are a natural candidate for this role: they return a calibrated probability for a natural-language question about a text in one fast call, yet they are used only as gates before reasoning. We introduce SOMA (System One Metacognitive Awareness)

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