Expand arXiv paper corpus

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+# Paper: Hierarchical Experimentalist Agents
+
+---
+type: paper
+title: Hierarchical Experimentalist Agents
+authors: Abhranil Chandra, Sankaran Vaidyanathan, Utsav Dhanuka, Varun Gandhi, Scott Niekum
+year: 2026
+venue: arXiv
+url: https://arxiv.org/abs/2606.29315
+code_url:
+source: arxiv
+collected_at: 2026-07-08
+published_at: 2026-06-28
+updated_at: 2026-06-28
+status: queued
+relevance: high
+topics:
+  - agent-evaluation
+  - planning
+  - rag
+  - reasoning
+  - tool-use
+  - world-model
+methods:
+  -
+benchmarks:
+  -
+models:
+  -
+datasets:
+  - cs.AI
+  - cs.LG
+related_concepts:
+  -
+related_jobs:
+  -
+related_experiments:
+  -
+related_projects:
+  -
+collection_score: 16
+collection_queries: llm-agent
+---
+
+## One-line Takeaway
+
+Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
+
+## Why Collected
+
+- matched queries: llm-agent
+- inferred topics: agent-evaluation, planning, rag, reasoning, tool-use, world-model
+- arXiv categories: cs.AI, cs.LG
+- 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/2606.29315