agent/papers/items/2025-2510-03847-small-language-models-for-agentic-systems-a-survey-of-architectures-capabilities.md

Paper: Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs

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type: paper title: "Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs" authors: Raghav Sharma, Manan Mehta year: 2025 venue: arXiv url: https://arxiv.org/abs/2510.03847 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-10-04 updated_at: 2025-10-04 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• computer-use
• planning
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 19 collection_queries: function-calling

One-line Takeaway

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

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, coding-agent, computer-use, planning, rag, reasoning, tool-use
• arXiv categories: cs.AI, cs.LG
• collection score: 19

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/2510.03847