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2026-07-27 16:28:23 +08:00

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Paper: ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System


type: paper title: "ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System" authors: Yutong He, Daibo Li, Guohong Li, Jiahe Geng, Zhengyang Huang, Can Ren, Zekun Zhang, Yifan Liu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.14178 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-15 updated_at: 2026-07-15 status: queued relevance: high topics:

  • agent-evaluation
  • multi-agent
  • rag
  • reasoning methods:

benchmarks:

models:

datasets:

  • cs.AI related_concepts:

collection_score: 18 collection_queries: ai-agent, autonomous-agent-llm

One-line Takeaway

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

Why Collected

  • matched queries: ai-agent, autonomous-agent-llm
  • inferred topics: agent-evaluation, multi-agent, rag, reasoning
  • arXiv categories: cs.AI
  • collection score: 18

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?