agent/papers/items/2026-2606-09774-auto-configuring-scientific-simulators-with-lightweight-coding-agent-adapters.md

Paper: Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters

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type: paper title: Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters authors: Matthew Ho, Brian Liu, Jixuan Chen, Audrey Wang, Lianhui Qin year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.09774 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-08 updated_at: 2026-06-25 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• coding-agent
• memory
• rag
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: agent-memory

One-line Takeaway

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

Why Collected

• matched queries: agent-memory
• inferred topics: agent-evaluation, agent-safety, coding-agent, memory, rag, tool-use, world-model
• arXiv categories: cs.AI, cs.CL
• 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 queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.09774