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

Paper recorded by Signals 4 on 2026-10-19 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-19 on arXiv · recorded by Signals 4 on 2026-10-20

Category: cs.AI · 人工智能 · first seen 2026-10-20

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

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#257 most recent of 960 cs.AI papers we have recorded · ↑ newer: Mise-en-Video: Fine-Grained 3D Control for Multi-Shot Video Generation · ↓ older: LG-Bench: A Graph-Structured Evaluation Benchmark for Life Sciences
Cite this page: SOMA: Continuous Monitoring and Intervention for System Two Reasoning with System One Models: the #257 most recent of 960 cs.AI papers we have recorded (as of 2026-10-19). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/soma-continuous-monitoring-and-intervention-for-system-two-reasoning-with-system.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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