Signals 4 · free daily AI digest

Artificial Id: Drive and Persistent Alignment in Agentic AI

Paper recorded by Signals 4 on 2026-09-10 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11

Category: cs.AI · 人工智能 · first seen 2026-09-11

Abstract

Agentic AI is moving from bounded task execution toward systems that retain consequential state, continue operating and adapt across task boundaries. That shift creates a control problem that current harnesses largely solve by hand: objectives, retries, verification, stopping rules and other behavioral transitions are specified externally. We propose an artificial id, an adaptive internal drive fo

Read on arXiv →

#105 most recent of 300 cs.AI papers we have recorded · ↑ newer: Generative Marketing Mix Modeling: A Causal Inference Framework Linkin · ↓ older: MindTopo: Can Foundation Models Reason in Topological Space?
Cite this page: Artificial Id: Drive and Persistent Alignment in Agentic AI: the #105 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/artificial-id-drive-and-persistent-alignment-in-agentic-ai.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.AI papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions