1.4 KiB
1.4 KiB
Paper: Governed AI-Assisted Engineering: Graduated Human Oversight for Agentic Code Generation in Regulated Domains
type: paper title: "Governed AI-Assisted Engineering: Graduated Human Oversight for Agentic Code Generation in Regulated Domains" authors: Richard Kang year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.22484 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-21 updated_at: 2026-07-04 status: queued relevance: high topics:
- agent-evaluation
- agent-safety
- coding-agent
- rag
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.HC related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 14 collection_queries: agentic-ai
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: agentic-ai
- inferred topics: agent-evaluation, agent-safety, coding-agent, rag, workflow-agent
- arXiv categories: cs.HC
- collection score: 14
Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from
queuedtoskimmedorsummarized?