Papersby GlyphHarness^2: Recursive Agent Harnessing for an Open World research paper by Google, 2026
Google · Agents and evaluation · Oct 9, 2026 · 2 citations · 123 upvotes · unverified
What it shows
This paper introduces a recursive framework that allows agents to automatically improve their own execution harnesses for better performance on novel open-world tasks.
By Ruiyao Xu, Yanfei Chen, Zhongying CuiZhu and 6 more · arXiv 2610.14224 · PDF · Code
UnverifiedSummarised by a model from the abstract; not yet checked by hand.
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About this paper
- Citations
- 2, 0 influential · Semantic Scholar
- Upvotes
- 123 · Hugging Face
- Lab
- Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases
Changes
A first count of 0 influential citations.
A first count of 2 citations.
Hugging Face upvotes rose from 119 to 123.
This paper introduces a recursive framework that allows agents to automatically improve their own execution harnesses for better performance on novel open-world tasks.
Found by the weekly Hugging Face scan; not yet checked by hand.