agent/papers/items/2026-2601-06606-cedar-context-engineering-for-agentic-data-science.md

Paper: CEDAR: Context Engineering for Agentic Data Science

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type: paper title: "CEDAR: Context Engineering for Agentic Data Science" authors: Rishiraj Saha Roy, Chris Hinze, Luzian Hahn, Fabian Kuech year: 2026 venue: arXiv url: https://arxiv.org/abs/2601.06606 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-01-10 updated_at: 2026-04-22 status: queued relevance: high topics:

• planning
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.LG
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: function-calling

One-line Takeaway

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

Why Collected

• matched queries: function-calling
• inferred topics: planning, workflow-agent
• arXiv categories: cs.LG, cs.AI
• 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/2601.06606