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Paper: BioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic Surveillance


type: paper title: "BioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic Surveillance" authors: Harmon Bhasin, Kevin Flyangolts, Dianzhuo Wang, Evan Seeyave, Arjun Banerjee, Amanda Darling, Joshua Stallings, David Stern, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.19262 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-21 updated_at: 2026-07-21 status: queued relevance: high topics:

  • agent-evaluation
  • workflow-agent methods:

benchmarks:

models:

datasets:

  • cs.AI related_concepts:

collection_score: 14 collection_queries: ai-agent

One-line Takeaway

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

Why Collected

  • matched queries: ai-agent
  • inferred topics: agent-evaluation, workflow-agent
  • arXiv categories: cs.AI
  • collection score: 14

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?