arxiv
PublishedNovember 3, 2026 at 5:00 AM
Verification and Self-Improvement in Agentic AI: Foundations and Limits
Publisher summary· verbatim
arXiv:2610.10611v2 Announce Type: replace Abstract: A self-improving agent can find accepted solutions more often without expanding the tasks its verification interface can accept. We extend task-relative verification with explicit support and transcript interfaces to distinguish search gains from c
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFrom Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings10harxivFidelity Collapses with Table Size, Not Turn Count: Delivery Architecture in a Deployed Tool-Using Agent10harxivFrom Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory10harxivSteering Readerly Dynamics: Trajectory-Guided Story Generation with Large Language Models10hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗