agent/papers/items/2026-2606-12195-internvideo3-agentify-foundation-models-with-multimodal-contextual-reasoning.md

Paper: InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning

---

type: paper title: "InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning" authors: Ziang Yan, Sheng Xia, Jiashuo Yu, Yue Wu, Tianxiang Jiang, Songze Li, Kanghui Tian, Yicheng Xu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.12195 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-10 updated_at: 2026-06-10 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.CV 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, planning, rag, reasoning, tool-use
• arXiv categories: cs.CV
• 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/2606.12195