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CAS II: Symmetric Partitions as Kolmogorov Models

Paper recorded by Signals 4 on 2026-09-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.AI · 人工智能 · first seen 2026-10-01

Abstract

In algorithmic statistics a string x is explained by a finite set containing it, and Kolmogorov's structure function records the smallest such model at each level of complexity. Vereshchagin's strong models, those computable from the data by a total algorithm, are essentially the cells of simple partitions. We read a partition of binary strings as a hypothesis, with the cell containing x as its mo

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#10 most recent of 480 cs.AI papers we have recorded · ↑ newer: How Much of a Harness Does a Strong Agent Need for Autonomous ML Engin · ↓ older: Linguistic Loopholes in LLM Unlearning: From a 174-Language Benchmark
Cite this page: CAS II: Symmetric Partitions as Kolmogorov Models: the #10 most recent of 480 cs.AI papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cas-ii-symmetric-partitions-as-kolmogorov-models.html
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