2026.08.05 | 智能体长期运营后净资产不足人类三成；实时视频编辑达高清流畅

【赞助商】OpenClaw快报每天五分钟，听听 OpenClaw 快报，带你了解最新动态和业内讨论传送门 https://www.xiaoyuzhoufm.com/podcast/6a1732a2dffa135d0ab5ef43【目录】本期的 15 篇论文如下：[00:27] 🛒 MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations（MerchantBench：电商运营中LLM智能体长期一致性的基准评测）[01:19] 🎬 JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion（JoyAI-Video-Edit：利用自回归扩散的实时开放式视频编辑）[02:19] 🧊 Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing（Hunyuan3D-Buffalo 1.0：一种可扩展的三维生成、理解与编辑统一多模态模型）[03:15] 🌌 AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling（AURORA-LM：自编码统一表示用于连续潜变量扩散语言建模）[04:18] 🎥 Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent（视频深度研究：迈向下一代多模态深度研究智能体）[05:15] 🔄 Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation（知识-几何解耦：面向流式推荐的可刷新预训练迁移）[06:20] 🤖 PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning（PCSD：智能体强化学习中自蒸馏的持久一致性）[07:08] 🌍 Quo Vadis, World Modeling?（世界建模，何去何从？）[07:59] 🔁 PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents（PAST-Bench：对个人智能体中递归自我改进的基础进行基准测试）[08:56] 🌉 Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging（Any-OPD：通过表示空间桥接实现异构流匹配模型的在策略蒸馏）[09:57] 🗜 OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models（OmniPack：用于高效全模态大语言模型的统一令牌压缩）[11:02] 📈 LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models（LLaDA MoE v2：扩展混合专家扩散语言模型）[12:00] 🎯 CAPEval: A Decoupled Caption Evaluation across Understanding and Generation（CAPEval：面向理解与生成的解耦式图像描述评估）[12:55] 🧩 UniWorld-Design: From Pixel Generation to Layer-Native Design（UniWorld-Design：从像素生成到图层原生设计）[13:56] 🧠 SkillJack: Persistent Skill Backdoors in Self-Evolving Agents（SkillJack：自进化智能体中的持久性技能后门）【关注我们】您还可以在以下平台找到我们，获得播客内容以外更多信息小红书: AI速递在小宇宙查看该单集文稿