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Evidence record 7072 · automatically gathered

A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governance

In Agentic AI, Large Language Models (LLMs) are increasingly used in the orchestration layer to coordinate multiple agents and to interact with external services, retrieval components, and shared memory. In this setting, failures are not limited to incorrect final outputs. They also arise from long-horizon interaction, stochastic decisions, and external side effects (such as API calls, database writes, and message sends). Common failures include non-termination, role drift, propagation of unsupp

Record details

Published: 18 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Regulation · Shared topic: Agents & autonomy

Large Language Models as a Semantic Interface and Ethical Mediator in Neuro-Digital Ecosystems: Conceptual Foundations and a Regulatory Imperative

arXiv · 18 March 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

Governed Memory: A Production Architecture for Multi-Agent Workflows

arXiv · 18 March 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

MemArchitect: A Policy Driven Memory Governance Layer

arXiv · 18 March 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

Soft-Label Governance for Distributional Safety in Multi-Agent Systems

arXiv · 19 March 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

Runtime Governance for AI Agents: Policies on Paths

arXiv · 17 March 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

Agent Control Protocol: Admission Control for Agent Actions

arXiv · 19 March 2026

How to cite this record

ethics.ai (18 March 2026), “A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governance,” evidence record 7072, https://ethics.ai/record/7072 (originally published by arXiv).

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