agent/papers/items/2026-2604-21190-spatio-adaptive-test-time-orchestration-of-vision-language-agents-for-spatial-re.md

Paper: SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning

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type: paper title: "SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning" authors: Chan Yeong Hwang, Miso Choi, Sunghyun On, Jinkyu Kim, Jungbeom Lee year: 2026 venue: arXiv url: https://arxiv.org/abs/2604.21190 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-23 updated_at: 2026-06-27 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• rag
• reasoning methods:

benchmarks:

models:

datasets:

• cs.CV related_concepts:

related_jobs:

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related_projects:

collection_score: 14 collection_queries: language-agent

One-line Takeaway

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

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, multi-agent, rag, reasoning
• arXiv categories: cs.CV
• 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/2604.21190