agent/papers/items/2026-2605-29676-notation-matters-a-benchmark-study-of-token-optimized-formats-in-agentic-ai-syst.md

Paper: Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systems

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type: paper title: "Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systems" authors: Lorenz Kutschka, Bernhard Geiger year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.29676 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-28 updated_at: 2026-06-17 status: queued relevance: high topics:

• agent-evaluation
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: agent-evaluation

One-line Takeaway

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

Why Collected

• matched queries: agent-evaluation
• inferred topics: agent-evaluation, tool-use
• arXiv categories: cs.AI, cs.CL
• 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/2605.29676