agent/papers/items/2026-2605-29861-towards-verifiable-multimodal-deep-research-a-multi-agent-harness-for-interleave.md

Paper: Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation

---

type: paper title: "Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation" authors: Chenghao Zhang, Guanting Dong, Yufan Liu, Tong Zhao, Xiaoxi Li, Zhicheng Dou year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.29861 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-28 updated_at: 2026-06-03 status: queued relevance: high topics:

• agent-evaluation
• memory
• multi-agent
• planning
• rag
• reasoning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CL
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 22 collection_queries: autonomous-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: autonomous-agent-llm
• inferred topics: agent-evaluation, memory, multi-agent, planning, rag, reasoning, tool-use, workflow-agent
• arXiv categories: cs.CL, cs.AI
• collection score: 22

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/2605.29861