# The Computational Mechanisms of Detached Mindfulness

arXiv: https://arxiv.org/abs/2409.15289 · HTML: https://mlsanity.com/paper/2409.15289/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 54 references that are in the map.
- First posted on arXiv 3 Sep 2024.

## Builds on (most cited first, 1 of 1)

- [Metacognitive threshold: a computational account](https://mlsanity.com/paper/2310.13005/) (2023)

## Built on by (most cited first, 1 of 1)

- [Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs](https://mlsanity.com/paper/2601.12341/) (2026)

## Abstract (arXiv)

This paper investigates the computational mechanisms underlying a type of metacognitive monitoring known as detached mindfulness, a particularly effective therapeutic technique within cognitive psychology. While research strongly supports the capacity of detached mindfulness to reduce depression and anxiety, its cognitive and computational underpinnings remain largely unexplained. We employ a computational model of metacognitive skill to articulate the mechanisms through which a detached perception of affect reduces emotional reactivity.