1.5 KiB
1.5 KiB
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:
related_jobs:
related_experiments:
related_projects:
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
queuedtoskimmedorsummarized?