agent/papers/items/2026-2605-26926-from-norms-to-indicators-n2i-rag-an-agentic-retrieval-augmented-generation-frame.md

Paper: From Norms to Indicators (N2I-RAG): An Agentic Retrieval-Augmented Generation Framework for Legal Indicator Computation

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type: paper title: "From Norms to Indicators (N2I-RAG): An Agentic Retrieval-Augmented Generation Framework for Legal Indicator Computation" authors: Youssef Al Mouatamid, Marie Bonnin, Jihad Zahir year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.26926 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-26 updated_at: 2026-05-26 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• planning
• rag methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: rag-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: rag-agent
• inferred topics: agent-evaluation, agent-safety, planning, rag
• arXiv categories: cs.AI
• collection score: 15

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 queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.26926