agent/papers/items/2026-2607-01047-conversable-complexity-agentic-llm-collectives-as-interpretable-substrates.md

Paper: Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates

---

type: paper title: "Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates" authors: Elias Najarro, Ane Espeseth, Eleni Nisioti, Sebastian Risi, Stefano Nichele year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.01047 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-01 updated_at: 2026-07-01 status: queued relevance: high topics:

• memory
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: llm-agent

One-line Takeaway

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

Why Collected

• matched queries: llm-agent
• inferred topics: memory, tool-use
• arXiv categories: cs.CL
• collection score: 13

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/2607.01047