调研视觉tree相关文献
用aris的skill调研下'/inspire/ssd/project/video-generation/public/zzy/entity_tree/vis_concept_tree.py'里面对应的视觉tree相关文献
我先读取文件，以了解视觉概念树的实现，然后使用研究技能查找相关文献。
现在我也来检查一下目录中的 JSON 数据文件，以便理解实际的视觉概念树结构。
我现在理解了这个项目——它是一个用于视频生成的分层视觉概念分类系统，包含实体类别（人类、动物、物体、场景、动作、视觉风格），并带有用于可视化的交互式树形可视化工具。让我使用 ARIS 研究技能来查找相关文献。
Base directory for this skill: /inspire/ssd/project/video-generation/public/openveo3/tools/cc-setup/claude-config/skills/research-lit # Research Literature Review Research topic: Find related work on: (1) Visual concept taxonomy/hierarchy for video generation and text-to-video models; (2) Structured visual concept trees with entity categories (human, animal, object, scene, action, visual_style) used for organizing training data in generative video models; (3) Hierarchical concept organization
我现在将遵循研究文献的工作流程。让我首先检查本地来源，然后搜索外部数据库。
No local papers found, and no ARIS fetch scripts in the skill directory. Let me search for the scripts in broader locations and then proceed with web searches.
No local fetch scripts available. I'll proceed with WebSearch to find relevant papers. Let me search across multiple relevant topics in parallel.
The web searches returned empty results. Let me try more targeted searches with different query formulations.