agent/papers/items/2026-2606-24649-agentic-collaborative-cognition-for-zero-shot-3d-understanding.md

Paper: Agentic Collaborative Cognition for Zero-Shot 3D Understanding

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type: paper title: Agentic Collaborative Cognition for Zero-Shot 3D Understanding authors: Wenxin Wang, Bo Zhang, Feng Chen, Zixuan Wang, Wen Li, Changsheng Li, Yinjie Lei year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.24649 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-23 updated_at: 2026-06-25 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• multi-agent
• planning
• rag methods:

benchmarks:

models:

datasets:

• cs.CV related_concepts:

related_jobs:

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related_projects:

collection_score: 17 collection_queries: multi-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, computer-use, multi-agent, planning, rag
• arXiv categories: cs.CV
• collection score: 17

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/2606.24649