agent/papers/items/2026-2606-13148-terrabench-can-agents-reason-over-heterogeneous-earth-system-data.md

Paper: TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?

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type: paper title: "TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?" authors: Dat Tien Nguyen, Thao Nguyen, Fadillah Adamsyah Maani, Huy M. Le, Muhammad Umer Sheikh, Numan Saeed, Muhammad Haris Khan, Salman Khan year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.13148 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-11 updated_at: 2026-07-01 status: queued relevance: high topics:

• agent-evaluation
• planning
• rag
• reasoning
• tool-use
• workflow-agent
• world-model methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: tool-use

One-line Takeaway

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

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, planning, rag, reasoning, tool-use, workflow-agent, world-model
• arXiv categories: cs.AI
• collection score: 16

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/2606.13148