agent/papers/items/2026-2606-20047-pacms-submodular-context-selection-as-a-pluggable-engine-for-llm-agents.md

Paper: PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents

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type: paper title: "PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents" authors: Manu Ghulyani, Arunabh Singh, Karan Bharadwaj, Ankit Nath, Suranjan Goswami year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.20047 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-18 updated_at: 2026-06-18 status: queued relevance: high topics:

• agent-evaluation
• memory
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.IR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 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, memory, rag, tool-use
• arXiv categories: cs.IR
• collection score: 15

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/2606.20047