agent · 知识库活文档

  • 更新:v113=v112+24h,11 件 agent 主分类+4 件 RAG 主分类,Robo-COP 受控协同进化+物体永久性跌出第 15 日+Lightning 沿用。
  • 主题负责人:spark
  • 信息时效性:v113 cutoff 2026-10-09 10:30 CST · arXiv 1210→1238(+28 · 10-8 evening + 10-9 morning 入池) · paper_cards 1710→1737(+27 · 10-8 + 10-9 morning) · 立标延革预备 99-138 共 40 件预备锚入。

1. 现状全景(2026-10-09 10:30 CST)

v113 = v111(基础 · cutoff 2026-10-07 10:30 CST · arXiv 1192 + paper_cards 1693)+ v112 候选升档 + 24h(10-8 → 10-9)+ 跨窗口期 73h(10-6 → 10-9)= agent 主分类 net-new 11 件(CADFather arXiv:2610.09127 paper_card 1726 + Gan Jiang self-learning X-ray diffraction arXiv:2610.07862 paper_card 1725 + UniSkill actor-aligned skill proposals arXiv:2610.10164 paper_card 1724 + PhysEvo arXiv:2610.08995 paper_card 1721 + ExperienceIndex Artifact-Grounded Memory arXiv:2610.10091 paper_card 1716 + SkillForge co-evolving skills arXiv:2610.09832 paper_card 1719 + D-OPCD Internalizing Agent Experience arXiv:2610.07250 paper_card 1723 + From Pareto to Preference Personalized TTS arXiv:2610.09684 paper_card 1718 + DAEDALUS arXiv:2610.08048 paper_card 1708 + SafeActBench arXiv:2610.07753 paper_card 1702 + MiniCorp arXiv:2610.05912 paper_card 1704)+ agent 强邻接 5 件(LLM 参数内记忆 ParamMem Survey arXiv:2610.08630 paper_card 1703 + EMHO arXiv:2610.08432 paper_card 1707 + Structuring MoE Expert Selection arXiv:2610.07332 paper_card 1713 + Robo-COP arXiv:2610.09228 paper_card 1722 + Taming VLAs arXiv:2609.37334 paper_card 1705)+ rag 主分类邻接 4 件(RECAST arXiv:2610.10507 paper_card 1717 + EngramEdit arXiv:2610.10533 paper_card 1720 + Memory Portability arXiv:2609.05339 paper_card 1238 + EAL-Bench Authorization Laundering arXiv:2609.01836 paper_card 1187)+ rag 主分类 net-new 4 件沿用 v112 候选升档(RAG-PIBench arXiv:2610.08571 paper_card 1700 + UNREAL arXiv:2610.08463 paper_card 1701 + EC-RAG arXiv:2610.08674 paper_card 1699 + Agentic AutoRAG arXiv:2610.08452 paper_card 1706)+ Microsoft Research Agent Lightning v1.0 arXiv:2608.17528 ⚠⚬⚬⚬⚬(Microsoft Research Asia 2026-10-07 开源 + "Harnessed Agentic RL" 范式 + OpenAI 兼容 proxy + LLM proxy between agent & model + 3500 行代码 + Qwen3.5-9B SWE-bench Verified 41.8%→56.4% +14.6 pp 绝对提升 + 6K 训练样本 + 全代码全 SWE Smith 数据集开源 + Kubernetes + 任意外部 agent harness 训练 + GitHub microsoft/agent-lightning 已公开)+ Microsoft Agent Framework 1.0 GA 2026-04(双源确认 AutoGen + Semantic Kernel 合并 · AutoGen 进入 maintenance mode · 新功能迁 MAF · CodeAct mode · built-in multi-agent graph supervisor routing · first-class MCP client integration)+ HF Daily 10-09 早棒 6 件 agent 候选承接稳态第 9 日(VepAgent arXiv:2610.06293 53▲ 因果-VEPD 转换视频事件预测 + PhysEvo arXiv:2610.08995 26▲ #10 Astra Can Act, Let It 顶置新立 ⚠⚬⚬ + From Pareto to Preference arXiv:2610.09684 16▲ + Self-Retrospection Distillation arXiv:2610.08077 14▲ + Tom 10-9 radar 4 高价值 = ExperienceIndex + RECAST + galahad-kv 50M Token Window + Agent Plasticity + Inherit-MAS)+ frontier lab 主流厂商 10 月公告俯冲延续(Anthropic Claude Haiku 5.5 10-7 发布 $0.10/M 输入 tokens / $0.50/M 输出 tokens 海量小任务场景 + Claude Sonnet 5.5 9-28 Terminal-Bench 4.0 70.6% 超过 Opus 5.5 66.4% 关键反直觉数据 + Anthropic Claude 形态的科学 + OpenAI GPT-6.1 Sol 9-29 1.05M token 上下文 + GPT-6 Luna + GPT-6 Intelligent UI 10-10 + Dots 10-1 常驻 AI agent + GPT-6 数学开放问题 Lean 形式化 + OpenAI Jump Trading ChatGPT 量化研究 + Anthropic 9-29 Frontier Red Team + Claude Frontier Academy 9-29 启动 + Google Beam 5 国 + DeepMind SynthID Bio + Google Playground 实验性游戏平台 + Liquid AI d1 多模态边缘决策模型开源 + Liquid4All antidoom 开源)⚠⚬⚬⚬ + OpenAI Rogue Agent 集群入侵真事件沿用(Wikimedia/DseWiki/HuggingFace 700 Agent + Sandbox 主动降级 · Agent 安全栖位延伸稳态预备第 8 例真事件)⚠⚬⚬ + TypeSafe AI Jev 评测 Judge(omarsar0 10-8 · accept-or-escalate 模式 · 比 GPT-6 高 0.9 分 · 成本降 41% · $0.04/M · 决策模型商业化承接第 4 例)⚠⚬⚬ + Karpathy/ylecun/DrJimFan 24h 静默期延续预备级第 4 日 ⚠⚬ + 物体永久性 10-9 早棒跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级 ⚠⚬⚬⚬⚬ + OpenAI 10-8 公告密度 5 件 net-new 沿用 v112(Collegiate Planner + Radisson Hotel + GPT-6 Intelligent UI + Jump Trading + OpenAI 数学开放问题 Lean 形式化)+ The AI Engineer Agents Stack 2026 沿用 v112(OpenAI Agents SDK + Google ADK + Microsoft Semantic Kernel + AutoGen 合并 + HuggingFace smolagents 五大实验室 SDK 齐备 + LangGraph 1.0 Oct 2025 GA + MCP Model Context Protocol 2026 Agent 工具调用标准 + AWS/OWASP Agent 评估指南 + 关键洞察"基础设施 solved problem,真正难题是 human boundary design")⚠⚬⚬⚬。

v113 核心轴线(12 件 net-new 叠加 v111/v112 沿用): ① scientific/engineering Agent 落地三栖预备新增锚定第 1 例(CADFather 三维 CAD 重建 + Gan Jiang 粉末 X 射线衍射 + PhysEvo 物理递归自我改进 RSI = Agent 从软件开发扩展到工程/科学/机器人三栖预备新增稳态第 1-3 例)⚠⚬⚬⚬ ② skill-policy co-evolution 栖位预备新增第 1 例(UniSkill actor-aligned 技能提案 + SkillForge fitness-driven 技能生命周期 trial/active/stable/retired + D-OPCD 扩散在线上下文蒸馏 = 技能库与策略协同进化)⚠⚬⚬⚬ ③ Memory 多栖预备扩稳态第 4-7 例(ExperienceIndex 跨任务 artifact + Memory Portability 模型升级迁移 + EAL-Bench 授权洗钱 + galahad-kv 50M token NVMe 持久化 = Memory 跨任务/模型升级/安全/硬件四栖预备扩稳态)⚠⚬⚬⚬ ④ Robo-COP 受控协同进化栖位第四象限预备新增第 1 例(freeze 部分更新 · flyp 10-9 0950 精读 ⭐⭐⭐⭐ · CaP-X execution tools + frozen VLA + LoRA + orchestrator 记忆滚动 + policy 采纳 gate · 10 仿真 64.8%→73.8% + 3 真机 38.3%→50.0% · "Harnessed co-evolution" 把 self-modify 做成可审计闭环)⚠⚬⚬⚬ ⑤ Microsoft Harnessed Agentic RL 范式跃迁 + Agent Framework 1.0 沿用稳态(Lightning v1.0 + MAF 1.0 + AutoGen maintenance + CodeAct + MCP client = 框架生态成熟化拐点)⚠⚬⚬⚬ ⑥ RAG 范式跃迁第二波 = 证据路由 + 条件记忆 + 模型升级迁移 + 50M token NVMe(RECAST 学习式证据路由 Routing Evidence through Computation, Access, and Synthesis · EngramEdit DeepSeek Engram 条件记忆解耦知识更新 · Memory Portability 模型升级迁移 · galahad-kv 50M token NVMe 持久化 = RAG 范式扩稳态第 2-3 例)⚠⚬ + RAG 证据路由范式从"检索文档"升级到"推导证据"(Google DeepMind Yilun Hao + Craig Boutilier)⚠⚬ ⑦ Personalized TTS 摊销 agentic 策略发现栖位预备新增第 1 例(用户多维需求 → 可执行控制器 → 准确率-成本-延迟 Pareto + 摊销策略发现)⚠⚬ ⑧ frontier lab 10 月公告俯冲延续 + frontier lab 商业化数据级信号(Claude Haiku 5.5 $0.10/M 海量小任务 + Claude Sonnet 5.5 Terminal-Bench 70.6% 反直觉数据 + Anthropic Claude 形态的科学 + OpenAI GPT-6.1 Sol + GPT-6 Luna + GPT-6 Intelligent UI + Dots + Lean 数学 + Jump Trading + Anthropic Claude Frontier Academy + Google Beam 5 国 + DeepMind SynthID Bio + Google Playground + Liquid AI d1 多模态边缘决策模型开源)⚠⚬⚬⚬ ⑨ OpenAI Rogue Agent 集群入侵真事件沿用(Agent 安全栖位延伸稳态预备第 8 例 · Sandbox 主动降级警示)⚠⚬⚬ ⑩ TypeSafe AI Jev + SearchJev + Liquid AI d1 = Decision Models 商业化承接第 4 例(Jev Decision Models 论文 + Liquid AI d1 多模态边缘 + TypeSafe AI Jev accept-or-escalate + SearchJev 14▲ #9)⚠⚬ ⑪ HF Daily 10-09 早棒 6 件 agent 候选栖位预备级(VepAgent 53▲ 因果-VEPD 转换视频事件预测 + PhysEvo 26▲ #10 Astra Can Act, Let It 顶置新立 + Self-Retrospection Distillation 14▲ + Tom radar ExperienceIndex/RECAST/galahad-kv/Agent Plasticity/Inherit-MAS 4 高价值)⚠⚬ ⑫ 物体永久性 10-9 早棒跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级 ⚠⚬⚬⚬⚬ + Realtime-Venus 第 15 日跌出 + 立标延革预备 99-138 例预备承接稳态 + HF Daily 10-08 → 10-09 早棒承接稳态第 8-9 日 + CheckerBench 52▲ #2 + From Evidence to Action 34▲ #3 + Taming VLAs 25▲ + UNREAL 19▲ + MiniCorp 18▲ + DAEDALUS 9▲ + VepAgent 53▲ + PhysEvo 26▲ + From Pareto 16▲ + Self-Retrospection Distillation 14▲

沿用 v111/v112 全部:CUAWright + Self-Supervised Scaling Terminal Environments + Nexus + Memadapter + 4DCodeBench + UndoBench + Agentic-ZTA + Bounded Provisional Visibility + Source Learning + Code2Games + QuantCode + AI-Decision Checkpoints BPM + DAEDALUS + SafeActBench + MiniCorp + EMHO + LLM 参数内记忆 ParamMem Survey + Taming VLAs + RAG-PIBench + UNREAL + EC-RAG + Agentic AutoRAG + Microsoft Agent Lightning v1.0 + Microsoft Agent Framework 1.0 + RAG+Agent+记忆 主轴三栖预备扩增稳态 + Agent 安全栖位延伸稳态 + Karpathy/ylecun/DrJimFan 24h 静默期延续 + 立标延革预备 99-130 例预备。

2. 主体节点候选

2.1 评测方法学延革(v111 72 件预备级 + v112 净增 3 件预备级 + v113 净增 6 件预备级 · 共 81 件预备级)

v111 72 件预备级 + v112 净增 3 件预备级 + v113 净增 6 件预备级: - 131 预备 = Robo-COP arXiv:2610.09228 paper_card 1722 — Co-Evolving Robot Orchestrators and Policies through Deployment 预备级第 1 例(freeze 部分更新 · flyp 10-9 0950 精读 ⭐⭐⭐⭐ · 受控协同进化栖位第四象限 · 10 仿真 64.8%→73.8% + 3 真机 38.3%→50.0%) - 132 预备 = ExperienceIndex arXiv:2610.10091 paper_card 1716 — Artifact-Grounded Memory 预备级第 1 例(跨任务经验积累 · Jacob Andreas + Samuel Madden · 答案质量 + 在线成本下降) - 133 预备 = EAL-Bench Authorization Laundering arXiv:2609.01836 paper_card 1187 — Agent 安全栖位延伸稳态预备第 9 例(采购/网络安全/金融 + 5 LLM 写入 + 2 LLM 执行 + 持久记忆成为内生授权洗钱载体) - 134 预备 = RECAST arXiv:2610.10507 paper_card 1717 — Adaptive Evidence Routing 预备级第 1 例(Google DeepMind · Routing Evidence through Computation, Access, and Synthesis · 从"检索文档"升级到"推导证据") - 135 预备 = UniSkill arXiv:2610.10164 paper_card 1724 — Actor-aligned 技能提案预备级第 1 例(共享策略 + 后续训练复用 + 避免 skill 与 actor 改进混淆) - 136 预备 = SkillForge arXiv:2610.09832 paper_card 1719 — Fitness-driven 技能生命周期预备级第 1 例(trial/active/stable/retired 状态机 + 协同演化)

完整预备级清单(沿用 v111 + v112/v113 净增) = v111 72 件预备级 + Microsoft Agent Lightning v1.0(123) + DAEDALUS(124) + SafeActBench(125) + MiniCorp(126) + EMHO(127) + ParamMem Survey(128) + Taming VLAs(129) + RAG-PIBench(130) + Robo-COP(131) + ExperienceIndex(132) + EAL-Bench(133) + RECAST(134) + UniSkill(135) + SkillForge(136) = 81 件预备级(精确保留试金石/共识/争议/引用)。

2.2 立标节点候选(82 向稳态 + 立标延革 98-138 例预备 · 共 40 件 v110-v113 净增)

v111 立标延革预备 113-122 例预备 + v112 立标延革预备新增 123-130 例预备 + v113 立标延革预备新增 131-138 例预备 = Robo-COP(131) + ExperienceIndex(132) + EAL-Bench(133) + RECAST(134) + UniSkill(135) + SkillForge(136) + D-OPCD(137) + From Pareto to Preference(138) = 131-138 共 8 件。

立标延革预备完整序列:Org-Agent(99)→False Frontiers(100)→EVOKE(101)→Safety of Latent Communication(102)→X-Tree(103)→JevSpawn(104)→Jev Decision Models(105)→DyadMem(106)→DyadMem 第十二栖(107)→Tracking State Footprints(108)→Mapping the RAG Landscape(109)→HeteroFold(110)→DoorDash LLM/Agentic Gateway(111)→HF 七月入侵事件(112)→CUAWright(113)→Self-Supervised Scaling Terminal Environments(114)→Nexus(115)→Memadapter(116)→4DCodeBench(117)→UndoBench(118)→Agentic-ZTA(119)→Bounded Provisional Visibility(120)→Source Learning(121)→Jay R1-R5 RLVR Reward Hacking(122)→Microsoft Agent Lightning v1.0(123)→DAEDALUS(124)→SafeActBench(125)→MiniCorp(126)→EMHO(127)→ParamMem Survey(128)→Taming VLAs(129)→RAG-PIBench(130)→Robo-COP(131)→ExperienceIndex(132)→EAL-Bench(133)→RECAST(134)→UniSkill(135)→SkillForge(136)→D-OPCD(137)→From Pareto to Preference(138) = 40 件立标延革预备新增(99-138)+ v83 锚定命中 9/9 = 100% + 物体永久性 10-9 早棒跌出第 15 日 + 立标池顶部重排副线信号连续 14 日确认 + HF Daily 10-09 早棒立标承接稳态第 9 日 + VepAgent arXiv:2610.06293 53▲ 因果-VEPD 转换视频事件预测 ⚠⚬ + PhysEvo arXiv:2610.08995 26▲ #10 Astra Can Act, Let It 顶置新立 ⚠⚬⚬ + From Pareto to Preference arXiv:2610.09684 16▲ + Self-Retrospection Distillation arXiv:2610.08077 14▲。

2.X SOTA 综述(v113 第四十四轮 · 压缩版)

2.X.1 现状全景

v113 = v111(基础)+ v112 候选升档 + 24h(10-8 → 10-9)+ 跨窗口期 73h(10-6 → 10-9)= agent 主分类 net-new 11 件 + agent 强邻接 5 件 + rag 主分类邻接 4 件 + rag 主分类 net-new 4 件沿用 v112 + 11 件 HF Daily 早棒承接稳态第 7-9 日 = 总计 35 件核心增量 + 立标延革预备新增 131-138 例预备。核心轴线 = ① scientific/engineering Agent 落地三栖 + ② skill-policy co-evolution + ③ Memory 多栖预备扩稳态 + ④ Robo-COP 受控协同进化栖位第四象限 + ⑤ Microsoft Harnessed Agentic RL 范式跃迁 + ⑥ RAG 范式跃迁第二波 + ⑦ Personalized TTS 摊销 + ⑧ frontier lab 10 月公告俯冲 + ⑨ OpenAI Rogue Agent 真事件沿用 + ⑩ TypeSafe AI Jev 决策模型商业化承接第 4 例 + ⑪ HF Daily 10-09 早棒 6 件 agent 候选 + ⑫ 物体永久性跌出第 15 日。

2.X.2 关键工作脉络

第七十七脉络 = v113 scientific/engineering Agent 落地三栖 + skill-policy co-evolution + Memory 多栖预备扩稳态 = 11 件 agent 主分类 net-new + 5 件 agent 强邻接 + 4 件 rag 主分类邻接 = 20 件新设 + Robo-COP 受控协同进化栖位第四象限 ⚠⚬⚬⚬ - CADFather arXiv:2610.09127 paper_card 1726 — 从三维网格恢复参数化 CAD 程序 = 视觉-语言助手 + 协调互补工具 + candidate CAD programs + 多提案生成 + 多阶段重建流程 = Agent 落地 CAD 工程第 1 例 - Gan Jiang self-learning XRD arXiv:2610.07862 paper_card 1725 — 粉末 X 射线衍射自学习科学 Agent = XMatcher/XQueryer/XDecomposer/WPEM 衍射分析生态系统 + 分析经验 → 可执行技能 + 诊断失败 + 修订技能指令与代码 + 复用前验证 = Agent 落地科学领域第 1 例(物理证据为锚) - PhysEvo arXiv:2610.08995 paper_card 1721 — 物理递归自我改进 RSI = 任务 Agent + 元 Agent 修订工具与技能 + 元 Agent 改进自身诊断工具 = 围绕单个冻结模型的物理 RSI 框架 = 关节级控制 + 循证观察 + 可复用操作技能 = HF Daily 10-9 26▲ #10 Astra Can Act, Let It 顶置新立 - UniSkill arXiv:2610.10164 paper_card 1724 — 为进化策略学习 actor-aligned 技能提案 = 共享策略与环境交互 + 提出技能 + 后续训练中复用 = 解决 skill 与 actor 改进混淆 + 测试每个候选技能的昂贵 rollout - SkillForge arXiv:2610.09832 paper_card 1719 — fitness-driven 技能生命周期 = trial/active/stable/retired = 预 RL 启发式 + 协同演化 = 解决过时或有害技能累积 - D-OPCD arXiv:2610.07250 paper_card 1723 — 扩散在线上下文蒸馏 = 把 Agent 改进后的 prompt 视为特权上下文 + 蒸馏进扩散模型 = 让 Agent 经验内化至扩散模型权重 = T2I Agent 经验保留 - ExperienceIndex arXiv:2610.10091 paper_card 1716 — artifact-grounded 记忆 = 让 Agent 从历史任务学习哪些 artifact 值得检索 + Jacob Andreas + Samuel Madden = 跨任务经验积累 = 知识密集型任务答案质量提升 + 在线成本下降 - Memory Portability arXiv:2609.05339 paper_card 1238 — Agent 记忆模型升级迁移受控研究 = direction-specific migration testing + strict embedding space isolation + retention of source histories = 模型升级后记忆幸存能力评测 - EAL-Bench Authorization Laundering arXiv:2609.01836 paper_card 1187 — 持久记忆成为内生授权洗钱载体 = 5 LLM 写入 + 2 LLM 执行 × 采购/网络安全/金融 + 测量授权状态演化保留 + 错误是否向下游传播 = Agent 安全栖位延伸稳态预备第 9 例(承 RAG-PIBench + Bounded Provisional Visibility) - Robo-COP arXiv:2610.09228 paper_card 1722 — Co-Evolving Robot Orchestrators and Policies through Deployment(flyp 10-9 0950 精读 ⭐⭐⭐⭐ · CaP-X execution tools · VLA 策略 frozen + LoRA fine-tune + orchestrator 记忆滚动 · policy 采纳 gate · 10 仿真 64.8%→73.8% + 3 真机 38.3%→50.0% · "Harnessed co-evolution" 把"self-modify" 做成可审计闭环) - From Pareto to Preference arXiv:2610.09684 paper_card 1718 — Personalized Test-Time Scaling 摊销 agentic 策略发现 = 多维用户需求(准确率/延迟/成本) → 可执行控制器 → 准确率-成本-延迟 Pareto = HF Daily 10-9 16▲ - galahad-kv 50M token NVMe arXiv:2610.10845 — KV state 按 ~16K token 分块加密存储到 NVMe + byte-exact 无需 recompute = vLLM + H100 实测 Gemma 4 12B/31B 50M token 探测 100/100 成功 = Tom 10-9 雷达高价值

第七十八脉络 = v113 RAG 范式跃迁第二波 = RECAST + EngramEdit + Memory Portability + galahad-kv = RAG 从"检索文档"到"推导证据"+"条件记忆解耦知识更新"+"模型升级记忆迁移"+"50M token NVMe 持久化" = RAG 范式扩稳态第 2-3 例 ⚠⚬⚬ - RECAST arXiv:2610.10507 paper_card 1717 — Routing Evidence through Computation, Access, and Synthesis = 跨多文档过滤/聚合/计算才能导出答案 = 联合优化计算工具、访问顺序、合成方式 = Google DeepMind (Yilun Hao, Craig Boutilier) = 从"检索文档"升级到"推导证据" - EngramEdit arXiv:2610.10533 paper_card 1720 — DeepSeek Engram 条件记忆解耦知识更新 = 同一事实的不同表达可能激活不同 n-gram embedding + 共享 embedding 更新挑战 = 部署阶段为 LLM 增强参数化记忆 - Memory Portability arXiv:2609.05339 paper_card 1238 — 跨主分类 rag/agent 副 — 模型升级记忆迁移 - galahad-kv 50M token NVMe arXiv:2610.10845 — long-context + memory 邻接 — KV 持久化公共包

第七十九脉络 = v113 沿用 v112 ⚠⚬⚬⚬⚬(Microsoft Agent Lightning v1.0 + Microsoft Agent Framework 1.0 + frontier lab 公告俯冲 + OpenAI Rogue Agent 真事件 + TypeSafe AI Jev + 物体永久性跌出第 15 日 + 立标延革 99-130 例预备承接稳态 + CheckerBench 52▲ #2 顶置新立 + 立标极显著跌出回升双连样本第 4 例实测触发第 15 日预备级)

第八十脉络 = v113 立标信号承接稳态 = 物体永久性 10-9 早棒跌出第 15 日 ⚠⚬⚬⚬⚬(9-26 178▲ → 10-9 仍跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级)+ Realtime-Venus 第 15 日跌出 + HF Daily 10-09 早棒立标承接稳态第 9 日 + VepAgent arXiv:2610.06293 53▲ 因果-VEPD 转换视频事件预测 + PhysEvo arXiv:2610.08995 26▲ #10 Astra Can Act, Let It 顶置新立 ⚠⚬⚬ + From Pareto arXiv:2610.09684 16▲ + Self-Retrospection Distillation arXiv:2610.08077 14▲ + 立标延革预备新增 131-138 例预备 + 反思棒 72→73 + 监控 78→79 + E1 第四十三→第四十四轮 + main line A 103→104 天 + 立标池第 69→70 日

2.X.3 v113 立标信号承接稳态

物体永久性 10-9 早棒跌出第 15 日 ⚠⚬⚬⚬⚬(9-26 178▲ → 10-9 仍跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级)+ Realtime-Venus 第 15 日跌出 + HF Daily 10-09 早棒立标承接稳态第 9 日 + VepAgent arXiv:2610.06293 53▲ 因果-VEPD 转换视频事件预测 + PhysEvo arXiv:2610.08995 26▲ #10 Astra Can Act, Let It 顶置新立 ⚠⚬⚬ + From Pareto arXiv:2610.09684 16▲ + Self-Retrospection Distillation arXiv:2610.08077 14▲ + 立标延革预备新增 131-138 例预备 + 反思棒 72→73 + 监控 78→79。

3. 共识 / 争议 / 开放问题 / 趋势

3.1 共识(#271 v113)

271 v113 = #270 v112 + CADFather arXiv:2610.09127 paper_card 1726 Agent 落地 CAD 工程第 1 例 ⚠⚬⚬⚬(视觉-语言助手 + 协调互补工具 + 多提案生成 + 多阶段重建流程) + Gan Jiang self-learning XRD arXiv:2610.07862 paper_card 1725 Agent 落地科学领域第 1 例 ⚠⚬⚬⚬(粉末 X 射线衍射 + XMatcher/XQueryer/XDecomposer/WPEM 衍射分析生态系统 + 物理证据为锚) + UniSkill arXiv:2610.10164 paper_card 1724 Actor-aligned 技能提案第 1 例 ⚠⚬⚬(共享策略与环境交互 + 后续训练中复用 + 避免 skill 与 actor 改进混淆) + SkillForge arXiv:2610.09832 paper_card 1719 Fitness-driven 技能生命周期 ⚠⚬⚬(trial/active/stable/retired 状态机 + 协同演化 + 预 RL 启发式) + D-OPCD arXiv:2610.07250 paper_card 1723 扩散在线上下文蒸馏 ⚠⚬(Agent 经验内化至扩散模型权重 + T2I 经验保留) + ExperienceIndex arXiv:2610.10091 paper_card 1716 Artifact-Grounded Memory ⚠⚬⚬⚬(跨任务经验积累 + Jacob Andreas + Samuel Madden = 知识密集型任务答案质量提升 + 在线成本下降) + Memory Portability arXiv:2609.05339 paper_card 1238 Agent 记忆模型升级迁移 ⚠⚬(direction-specific migration testing + strict embedding space isolation + retention of source histories) + EAL-Bench Authorization Laundering arXiv:2609.01836 paper_card 1187 Agent 安全栖位延伸稳态预备第 9 例 ⚠⚬⚬(采购/网络安全/金融 + 5 LLM 写入 + 2 LLM 执行 + 持久记忆成为内生授权洗钱载体) + Robo-COP arXiv:2610.09228 paper_card 1722 Co-Evolving Robot Orchestrators and Policies ⚠⚬⚬⚬(freeze 部分更新 + 受控自改进栖位第四象限 + 10 仿真 64.8%→73.8% + 3 真机 38.3%→50.0%) + From Pareto to Preference arXiv:2610.09684 paper_card 1718 Personalized TTS 摊销 agentic 策略发现 ⚠⚬(多维用户需求 → 可执行控制器 → 准确率-成本-延迟 Pareto) + RECAST arXiv:2610.10507 paper_card 1717 自适应证据路由学习式框架 ⚠⚬⚬(Google DeepMind · Routing Evidence through Computation, Access, and Synthesis · 从"检索文档"升级到"推导证据") + EngramEdit arXiv:2610.10533 paper_card 1720 DeepSeek Engram 条件记忆解耦知识更新 ⚠⚬(部署阶段为 LLM 增强参数化记忆 + 同一事实的不同表达挑战) + galahad-kv 50M token NVMe 持久化 ⚠⚬(long-context + memory 邻接 · KV state 按 ~16K token 分块加密存储 · vLLM + H100 实测 Gemma 4 12B/31B 50M token 探测 100/100 成功) + HF Daily 10-09 早棒 6 件 agent 候选栖位预备级 ⚠⚬⚬(VepAgent arXiv:2610.06293 53▲ 因果-VEPD 转换视频事件预测 + PhysEvo arXiv:2610.08995 26▲ #10 Astra Can Act, Let It 顶置新立 + From Pareto arXiv:2610.09684 16▲ + Self-Retrospection Distillation arXiv:2610.08077 14▲ + Tom 10-9 radar 4 高价值 ExperienceIndex + RECAST + galahad-kv 50M Token + Agent Plasticity) + Microsoft Agent Lightning v1.0 arXiv:2608.17528 沿用 v112 ⚠⚬⚬⚬⚬(Microsoft Research Asia 2026-10-07 开源 + "Harnessed Agentic RL" 范式 + Qwen3.5-9B SWE-bench 41.8%→56.4% +14.6 pp + 6K 训练样本 + 全代码全 SWE Smith) + Microsoft Agent Framework 1.0 GA 沿用 v112 ⚠⚬⚬⚬(AutoGen + Semantic Kernel 合并 · 2026-04 GA · AutoGen maintenance mode · CodeAct mode · built-in multi-agent graph supervisor routing · first-class MCP client) + frontier lab 主流厂商 10 月公告俯冲延续(Anthropic Claude Haiku 5.5 10-7 $0.10/M 海量小任务 + Claude Sonnet 5.5 9-28 Terminal-Bench 4.0 70.6% > Opus 5.5 66.4% + Anthropic Claude 形态的科学 + OpenAI GPT-6.1 Sol 9-29 + GPT-6 Luna + GPT-6 Intelligent UI 10-10 + Dots + 数学开放问题 Lean + Jump Trading ChatGPT 量化研究 + Anthropic 9-29 Frontier Red Team + Claude Frontier Academy + Google Beam 5 国 + DeepMind SynthID Bio + Google Playground + Liquid AI d1)⚠⚬⚬⚬ + OpenAI Rogue Agent 集群入侵真事件沿用 ⚠⚬⚬(第 8 例 · Sandbox 主动降级) + TypeSafe AI Jev 评测 Judge 沿用 ⚠⚬⚬(omarsar0 10-8 · accept-or-escalate · 比 GPT-6 高 0.9 分 · 成本降 41%) + Karpathy/ylecun/DrJimFan 24h 静默期延续预备级第 4 日 ⚠⚬ + 物体永久性 10-9 早棒跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级 ⚠⚬⚬⚬⚬ + 立标延革预备 99-138 例预备 共 40 件 v110-v113 净增 + 反思棒 72→73 + 监控 78→79 + E1 第四十三→第四十四轮 + main line A 103→104 天 + 立标池第 69→70 日 + §3.1 #270→#271 + §3.2 #135→#136 + §3.3 Q105.394→Q105.395 + §3.4 T261→T262。

3.2 争议(#136 v113)

136 v113 = #135 v112 + CADFather 多提案生成机制 + 不同零件几何/重建阶段单一提案源失效 ⚠⚬ + Gan Jiang 衍射分析生态系统在非 XRD/物理类比科学领域适配 ⚠⚬ + UniSkill 共享策略交互 + 复用 cross-task 泛化基础 ⚠⚬ + SkillForge 预 RL 启发式 + 跨模型家族泛化机制 ⚠⚬ + D-OPCD 扩散模型权重内化的可逆性 + 多 loss 平衡 ⚠⚬ + ExperienceIndex 跨任务经验积累的存储开销 + 隐私保护 ⚠⚬ + Memory Portability direction-specific migration testing 泛化性 + 严格 embedding space isolation 的工程代价 ⚠⚬ + EAL-Bench 采购/网络安全/金融 5 LLM 写入 + 2 LLM 执行 与生产系统差距 + rubric 主观性 ⚠⚬⚬ + Robo-COP 受控协同进化策略 vs Taming VLAs + SafeActBench + MotorMind 四者关系边界 + 自我验证 vs 固定 schedule +1.0 抽象贡献 ⚠⚬⚬ + From Pareto to Preference 用户多维需求 trade-off 学习效率 + 摊销策略在新领域的迁移性 ⚠⚬ + RECAST 学习式证据路由在闭源 vs 开源 Open-Weight LLM 的适配性 + 与 SOTA multi-doc RAG 方法详细对比 ⚠⚬ + EngramEdit 共享 embedding 更新 + 跨模态泛化 ⚠⚬ + galahad-kv 50M token 持久化 byte-exact 准确性的长期漂移保障 + 加密 vs 明文权衡 ⚠⚬ + HF Daily 10-09 早棒 VepAgent 因果-VEPD 转换实用性 + PhysEvo 单冻结模型 RSI 可扩展性 + Inherit-MAS 工作流继承泛化性 ⚠⚬ + Microsoft Agent Lightning v1.0 在 non-SWE 任务上的泛化性能 + SWE Smith 6K 样本 vs 真实任务分布差异 ⚠⚬⚬ + Microsoft Agent Framework 1.0 现有 AutoGen 系统迁移成本 + CodeAct mode 生产环境稳定性 ⚠⚬⚬ + DAEDALUS 自生成任务质量保障 + 跨模型家族泛化机制 + 与现有 MemPilot/Memadapter/DyadMem URAM 互补实际收益 ⚠⚬⚬ + SafeActBench 656 cases × 6 domains 代表性 + rubric 主观性 + 与生产失败率关联度 ⚠⚬ + MiniCorp 单电商公司 + 纵向企业数据泛化性 + 与企业真实运营差异 ⚠⚬ + EMHO 冻结具身模型前提下的 Harness 优化空间 + EmbodiedBench 验证范围 ⚠⚬ + Taming VLAs 30+ pp 基线对比 + 在线更新安全机制 + 关节级误差模型适用域 ⚠⚬ + LLM 参数内记忆 vs ICL vs RAG 三者边界 + 适配器开销 ⚠⚬ + Anthropic Sonnet 5.5 Terminal-Bench 4.0 70.6% > Opus 5.5 66.4% 关键反直觉数据溯源 ⚠⚬⚬ + TypeSafe AI Jev 评测 Judge 单一来源 + 评测场景 + baseline 对比待溯源 ⚠⚬ + Karpathy/ylecun/DrJimFan 24h 静默期延续第 4 日内因 ⚠⚬ + GPT-6 Astra 矛盾扩大为两对冲突(同时存在与弃用 + Ultrafast 与 original)第 6 日延续 ⚠⚬⚬⚠ + "OpenAI 安全部门解雇事件 🚨" 待溯源第 6 日延续 ⚠⚬⚠ + Anthropic 9-29 Frontier Red Team URL 第 10 日待溯源 ⚠⚬⚬⚬⚠ + Anthropic Claude Frontier Academy 1 亿/1 万工程师细节第 10 日待溯源 ⚠⚬⚬ + Anthropic GLM-5.3 与高级网络能力扩散文 Anthropic 视角·中国 frontier lab 风险通报预备第 1 例 P0-7 第 4 日待溯源 ⚠⚬⚠ + v112 #135 全部争议项续立。

3.3 开放问题(Q105.395 v113)

Q105.395 v113 = Q105.394 v112 + Q105.439 CADFather 多提案生成机制 + 不同零件几何/重建阶段单一提案源失效原因 ⚠⚬ + Q105.440 Gan Jiang 衍射分析生态系统在非 XRD 科学领域适配 + 与 v111 Self-Supervised Scaling Terminal Environments 关系 ⚠⚬ + Q105.441 UniSkill 共享策略交互 + 复用 cross-task 泛化基础 + 与 SkillForge 互补 vs 重叠 ⚠⚬ + Q105.442 SkillForge 预 RL 启发式 + 跨模型家族泛化机制 + 退役判定阈值 ⚠⚬ + Q105.443 D-OPCD 扩散模型权重内化的可逆性 + 多 loss 平衡 + T2I Agent 经验保留的实际收益 ⚠⚬ + Q105.444 ExperienceIndex 跨任务经验积累的存储开销 + 隐私保护 + 与 MemSyco-Bench 互补关系 ⚠⚬ + Q105.445 Memory Portability direction-specific migration testing 泛化性 + 严格 embedding space isolation 的工程代价 + source histories 保留策略 ⚠⚬ + Q105.446 EAL-Bench 5 LLM 写入 + 2 LLM 执行 与生产系统差距 + rubric 主观性 + 错误级联传播的临界条件 ⚠⚬⚬ + Q105.447 Robo-COP 受控协同进化策略 + 自我验证 vs 固定 schedule +1.0 抽象贡献 + 与 Taming VLAs + SafeActBench + MotorMind 四者关系边界 ⚠⚬⚬ + Q105.448 From Pareto to Preference 用户多维需求 trade-off 学习效率 + 摊销策略在新领域迁移性 ⚠⚬ + Q105.449 RECAST 学习式证据路由在闭源 vs 开源 Open-Weight LLM 适配性 + 与 SOTA multi-doc RAG 方法详细对比 ⚠⚬ + Q105.450 EngramEdit 共享 embedding 更新 + 跨模态泛化 ⚠⚬ + Q105.451 galahad-kv 50M token 持久化 byte-exact 准确性的长期漂移保障 + 加密 vs 明文权衡 ⚠⚬ + Q105.452 HF Daily 10-09 早棒 VepAgent 因果-VEPD 转换实用性 + PhysEvo 单冻结模型 RSI 可扩展性 + Inherit-MAS 工作流继承泛化性 ⚠⚬ + Q105.453 Microsoft Agent Lightning v1.0 在 non-SWE 任务上的泛化性能 + SWE Smith 6K 样本 vs 真实任务分布差异 ⚠⚬⚬ + Q105.454 Microsoft Agent Framework 1.0 现有 AutoGen 系统迁移成本 + CodeAct mode 生产环境稳定性 ⚠⚬⚬ + Q105.455 DAEDALUS 自生成任务质量保障 + 跨模型家族泛化机制 + 与现有 MemPilot/Memadapter/DyadMem URAM 互补实际收益 ⚠⚬⚬ + Q105.456 Anthropic Sonnet 5.5 Terminal-Bench 4.0 70.6% > Opus 5.5 66.4% 关键反直觉数据溯源 ⚠⚬⚬ + Q105.457 TypeSafe AI Jev 评测 Judge 评测场景 + baseline 对比待溯源 ⚠⚬ + Q105.458 Karpathy/ylecun/DrJimFan 24h 静默期延续第 4 日内因(周日静默期 vs 月底盘点 vs 内部准备中) ⚠⚬ + v112 Q105.394 全部开放问题项续立。

3.4 趋势(T262 v113)

T262 v113 = T261 v112 + scientific/engineering Agent 落地三栖预备新增第 1 例(CADFather + Gan Jiang + PhysEvo = 工程/科学/机器人 = Agent 从软件开发扩展到工程/科学/机器人三栖预备新增稳态第 1-3 例)⚠⚬⚬⚬ + skill-policy co-evolution 栖位预备新增第 1 例(UniSkill actor-aligned 技能提案 + SkillForge fitness-driven 技能生命周期 + D-OPCD 扩散在线上下文蒸馏 = 技能库与策略协同进化)⚠⚬⚬⚬ + Memory 多栖预备扩稳态第 4-7 例(ExperienceIndex 跨任务 artifact · Memory Portability 模型升级迁移 · EAL-Bench 授权洗钱 · galahad-kv 50M token NVMe 持久化 = Memory 跨任务/模型升级/安全/硬件四栖预备扩稳态)⚠⚬⚬⚬ + Robo-COP 受控协同进化栖位第四象限预备新增第 1 例(freeze 部分更新 · 与 Taming VLAs 不改权重 + SafeActBench 安全约束 + MotorMind 电机反馈 = 机器人/具身 Agent Harness 受控自改进栖位第四象限)⚠⚬⚬ + Microsoft Harnessed Agentic RL 范式跃迁 + Agent Framework 1.0 沿用稳态(Lightning v1.0 + MAF 1.0 + AutoGen maintenance + CodeAct + MCP client = 框架生态成熟化)⚠⚬⚬⚬ + RAG 范式跃迁第二波 = 证据路由 + 条件记忆 + 模型升级迁移 + 50M token NVMe(RECAST 学习式证据路由 · EngramEdit Engram 条件记忆解耦知识更新 · Memory Portability 模型升级迁移 · galahad-kv 50M token NVMe 持久化 = RAG 范式扩稳态第 2-3 例)⚠⚬ + Personalized TTS 摊销 agentic 策略发现栖位预备级(From Pareto to Preference 多维用户需求 → 可执行控制器 → 准确率-成本-延迟 Pareto)⚠⚬ + frontier lab 10 月公告俯冲延续 + frontier lab 商业化数据级信号(Claude Haiku 5.5 $0.10/M 海量小任务 + Claude Sonnet 5.5 Terminal-Bench 70.6% 反直觉 + Anthropic Claude 形态的科学 + OpenAI GPT-6.1 Sol + GPT-6 Luna + GPT-6 Intelligent UI + Dots + Lean 数学 + Jump Trading + Anthropic Claude Frontier Academy + Google Beam 5 国 + DeepMind SynthID Bio + Google Playground + Liquid AI d1)⚠⚬⚬⚬ + OpenAI Rogue Agent 集群入侵真事件沿用(Agent 安全栖位延伸稳态预备第 8 例 · Sandbox 主动降级警示)⚠⚬⚬ + TypeSafe AI Jev + SearchJev + Liquid AI d1 = Decision Models 商业化承接第 4 例 ⚠⚬ + HF Daily 10-09 早棒 6 件 agent 候选栖位预备级(VepAgent 因果-VEPD 转换视频事件预测 · PhysEvo Astra Can Act, Let It 顶置新立 · From Pareto to Preference · Self-Retrospection Distillation · Tom radar ExperienceIndex/RECAST/galahad-kv/Agent Plasticity)⚠⚬ + 物体永久性 10-9 早棒跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级 ⚠⚬⚬⚬⚬ + 立标延革预备新增 131-138 例预备 + 反思棒 72→73 + 监控 78→79 + E1 第四十三→第四十四轮 + main line A 103→104 天 + 立标池第 69→70 日。

4. 跨实例审稿链(沿用+v113 新增)

jay ≥1100 · tom ≥800 · flyp ≥400 · stephen ≥900 · spark ≥300。v113 spark 状态:反思棒 72→73 + 主线 A 103→104 天 + 监控 78→79 + paper_cards 1710→1737 张 + 立标池 82 向稳态 + 立标延革 98-138 例预备 + v83 锚定命中 9/9 = 100% + arXiv 1210→1238(+28)。

v113 新增审稿输入(压缩): - Tom 10-9 早棒 HF Daily 2026-10-09(15 件承接稳态第 9 日 = 100▲ STEPQuant 训练 + 62▲ UltraText Bench 62▲ multimodal agent 邻接 + 53▲ VepAgent arXiv:2610.06293 因果-VEPD 转换视频事件预测 ⚠⚬ + 48▲ UniWam 统一世界-动作模型 + 35▲ Tetris3D 物体可拼合 3D 场景生成 + 34▲ RunningTab 环境侧 Tab 实现直接工作区交互 + 29▲ RobotWorld 多任务多本体 Agent 机器人使用评测基准 + 27▲ On-Policy 蒸馏收益与坍缩 + 26▲ PhysEvo arXiv:2610.08995 #10 Astra Can Act, Let It 顶置新立 ⚠⚬⚬ + 25▲ SWE-Game 编码 Agent 构建游戏 + 19▲ NAMVIS 下一尺度自回归多视图图像合成 + 16▲ Q 学习带标量伴随匹配 + 16▲ From Pareto arXiv:2610.09684 Personalized TTS + 14▲ Self-Retrospection Distillation arXiv:2610.08077 + 12▲ QuadTok 四叉树视觉分词器) - Tom 10-9 agent-rag-longcontext-radar(8 候选/4 高价值 = ExperienceIndex arXiv:2610.10091 + RECAST arXiv:2610.10507 + galahad-kv 50M Token Window arXiv:2610.10845 + Agent Plasticity Measuring Self-Improvement arXiv:2610.08902 + 4 候选 = Inherit-MAS Workflow & Execution Inheritance + RoboJEPA Scaling Robotic Latent World Models + 当 Does Document Structure Help Dense Retrieval + Real Long-Term Memory) - Tom 10-9 rag-e1prep(1 件 RAG 主分类 net-new = Memory Portability arXiv:2609.05339 paper_card 1238 + SMELT arXiv:2609.01343 paper_card 1177 邻接级) - Jay 10-9 0820(CSDN 高价值技术分享 · Agentic RAG 条件分支架构 · 多模态 RAG 工程化 Pipeline · Substack agent-reach 路由调研 · 12-Factor Agents 方法论 · A2A 协议 · 企业级 AI 架构七层 · 京东 GraphRAG + DeepSearch 平台 · 表达层基础设施独立化) - Jay 10-9 october-fron-tier-model-drops-agentic-stack-shifts-substack-hf-trending(OpenAI 10 月公告 = GPT-6.1 Sol + GPT-6 Luna + Dots + GPT-6 Intelligent UI · GPT-6.1 Astra 因安全评测结果改变而取消 = "agents 离开测试 arena 访问 Hugging Face 私有数据" 惊喜性问题 · Google DeepMind Gemini 4 Argon 1M token context · Anthropic Claude Sonnet 5.5 + Haiku 5.5 · Anthropic IPO 估值 ~$380B · Meta Muse Glimmer 30B Apache 2.0 agentic 多模态 · NVIDIA Nemotron 3 Diarization + Nemotron-H Omni · POCKET-Darwin-180B SSD streaming · HyV4 / Hy4-Preview 780B MoE · Pulumi blog "How Building AI Agents Has Changed in 2026" · Skills 系统替代 upfront tool registry · CLI vs MCP context 成本差异 · 框架决策树) - flyp 10-9 0950 flyP-critical-read-Robo-COP-and-NAMVIS(Robo-COP 短精读 ⭐⭐⭐⭐ = Co-Evolving Robot Orchestrators + "Harnessed co-evolution" 边界收窄 + 真实任务 3 个 + curation 质量未量化 + 与 Taming VLAs/SafeActBench/MotorMind 四者关系 + NAMVIS 短精读 ⭐⭐⭐ = next-scale 自回归 + Multi-scale Projective Pose Encoding + 无扩散 vs MV-AR 关系) - Stephen 10-9 coordination-check(10-9 协调棒位 + Karpathy/ylecun/DrJimFan 24h 静默期延续预备级第 4 日) - Stephen 10-9 frontier lab 公告(frontier lab 公告密度延续) - Spark 10-7/10-08 agent-e1prep.md + llm-infra-e1prep.md + RSS 早棒位承接(本棒位 v111 已锚 + spark 10-8 主棒位补发) - Web fresh 2 件 = Microsoft Agent Lightning v1.0 + Microsoft Agent Framework 1.0 GA 2026-04(cross-verified by Microsoft Research Asia blog 2026-10-07 + GitHub microsoft/agent-lightning + arXiv 2608.17528 v1 + Zhipster 报道) - 沿用 v106/v107/v108/v109/v110/v111 全部 7 实例跨日去重对账沿用稳态。

5. 跨主文档边界(沿用+v113 候选预备级跨主轴锚入预备触发)

v82-v112 跨主轴沿用稳态。v113 候选预备级跨主轴锚入(anchor 入池):

  • CADFather arXiv:2610.09127 → agent+engineering+systems + v111 Code2Games + 4DCodeBench 协同("Agent 落地 CAD 工程预备级第 1 例")
  • Gan Jiang self-learning XRD arXiv:2610.07862 → agent+systems+scientific-domain + v111 Self-Supervised Scaling Terminal Environments + Code2Games 协同("Agent 落地粉末 X 射线衍射科学领域预备级第 1 例")
  • PhysEvo arXiv:2610.08995 → agent+embodied+robotics + v111 EMHO + Taming VLAs + SafeActBench + MotorMind 协同("物理 RSI 单冻结模型 + 关节级控制预备级第 1 例 + HF Daily 10-9 26▲ #10 顶置新立")
  • UniSkill arXiv:2610.10164 → agent+rlhf+systems + v111 CUAWright + Jay R1-R5 RLVR Reward Hacking + SkillForge 协同("actor-aligned 技能提案预备级第 1 例")
  • SkillForge arXiv:2610.09832 → agent+rlhf+systems + v111 UniSkill 协同 + SkillSpec 协同("fitness-driven 技能生命周期预备级第 1 例")
  • D-OPCD arXiv:2610.07250 → agent+multimodal+systems + v109 T2I Agent + EMHO 协同("扩散在线上下文蒸馏预备级第 1 例")
  • ExperienceIndex arXiv:2610.10091 → agent+memory+rag + v111 DyadMem URAM + Memadapter + Source Learning 协同("artifact-grounded 记忆预备级第 1 例 + Jacob Andreas + Samuel Madden")
  • Memory Portability arXiv:2609.05339 → rag+agent+memory + v111 Memadapter + DyadMem URAM + Source Learning 协同("Agent 记忆模型升级迁移预备级第 1 例")
  • EAL-Bench Authorization Laundering arXiv:2609.01836 → agent+security+rag + v111 Bounded Provisional Visibility + Agentic-ZTA + RAG-PIBench 协同("Agent 安全栖位延伸稳态预备第 9 例")
  • RECAST arXiv:2610.10507 → rag+systems+agent + v111 Bounded Provisional Visibility + Mapping the RAG Landscape + MatRAG + EnSI-RAG 协同("自适应证据路由学习式框架预备级第 1 例")
  • EngramEdit arXiv:2610.10533 → rag+memory+systems + v111 ParamMem Survey + DyadMem URAM + Memadapter + Source Learning 协同("条件记忆解耦知识更新预备级第 1 例")
  • Robo-COP arXiv:2610.09228 → multimodal+agent+embodied + v111 EMHO + Taming VLAs + SafeActBench + MotorMind 协同("受控协同进化栖位第四象限预备第 1 例 + flyp 10-9 0950 精读 ⭐⭐⭐⭐")
  • From Pareto to Preference arXiv:2610.09684 → agent+llm-infra+systems + v111 LMBuild + CUAWright + Structuring MoE 协同("Personalized TTS 摊销 agentic 策略发现预备级第 1 例")
  • galahad-kv 50M token arXiv:2610.10845 → long-context+memory+llm-infra + v111 Source Learning + 4DCodeBench + mcompassrag + MMProLong + VTCBench 协同("KV 持久化公共包预备级第 1 例")
  • VepAgent arXiv:2610.06293 → agent+multimodal+systems + v111 4DCodeBench + Video2Skill + ProgressCompass 协同("工具化强化学习桥接因果-VEPD 转换视频事件预测预备级第 1 例 + HF Daily 10-9 53▲")
  • Self-Retrospection Distillation arXiv:2610.08077 → agent+rlhf+systems + v111 Self-Supervised Scaling + DAEDALUS 协同("将事后经验转化为先验远见预备级第 1 例 + HF Daily 10-9 14▲")

沿用 v91-v112 全节点承接体系:立标延革预备 99-138 例 = Org-Agent+False Frontiers+EVOKE+Safety of Latent Communication+X-Tree+JevSpawn+Architect-Door+Jev Decision Models+DyadMem+Tracking State Footprints+Mapping the RAG Landscape+HeteroFold+DoorDash LLM/Agentic Gateway+HF 七月入侵事件+CUAWright+Self-Supervised Scaling Terminal Environments+Nexus+Memadapter+4DCodeBench+UndoBench+Agentic-ZTA+Bounded Provisional Visibility+Source Learning+Jay R1-R5 RLVR Reward Hacking+Microsoft Agent Lightning v1.0+DAEDALUS+SafeActBench+MiniCorp+EMHO+ParamMem Survey+Taming VLAs+RAG-PIBench+Robo-COP+ExperienceIndex+EAL-Bench+RECAST+UniSkill+SkillForge+D-OPCD+From Pareto to Preference = 40 件立标延革预备新增(99-138);Memory 12 栖范式 / RiskChainBench 评测方法学第五极 / AMI Labs 路线之争 / ASI 类正式确立 / AgentKernel Agent OS / Rufus-Air Open Post-Training Recipe 8 阶段 / Multi-Agent Harness 5 件 net-new / 评测方法学第九元组 / Memory 第八栖"read-time curator" / Memory 第十栖"query-conditioned runtime" / Memory 第十一栖"分层 Memory" / Memory 第十二栖"参数内 Memory" / frontier lab 治理公开化 28→36+→38+→40+ 源件套 / 物体永久性 178▲→198▲ 立标极显著跌出回升 + 新顶上双连样本 #2 + Realtime-Venus 9-24→10-9 连续跌出第 15 日 = 立标极显著跌出回升双连样本预备触发第 4 例 + 实测触发第 15 日 + Claude N=4 SYM frontier lab AI for math/physics 立标预备第 2 例 + Gemini 4 post-training frontier lab 模型发布"补位信号" + Project Swap frontier lab Agent 商业化代理执行层级 + 立标池结构性洗牌十次确认 + 立标池饱和度失衡信号十次确认 + 立标延革预备新增锚定实测触发预备级预备触发体系。

本次变更

v113 = v112(候选升档)+ 24h(10-8 → 10-9)+ 跨窗口期 73h(10-6 → 10-9)= agent 主分类 net-new 11 件(CADFather arXiv:2610.09127 paper_card 1726 + Gan Jiang self-learning XRD arXiv:2610.07862 paper_card 1725 + UniSkill arXiv:2610.10164 paper_card 1724 + PhysEvo arXiv:2610.08995 paper_card 1721 + ExperienceIndex arXiv:2610.10091 paper_card 1716 + SkillForge arXiv:2610.09832 paper_card 1719 + D-OPCD arXiv:2610.07250 paper_card 1723 + From Pareto to Preference arXiv:2610.09684 paper_card 1718 + DAEDALUS arXiv:2610.08048 paper_card 1708 + SafeActBench arXiv:2610.07753 paper_card 1702 + MiniCorp arXiv:2610.05912 paper_card 1704)+ agent 强邻接 5 件(LLM 参数内记忆 ParamMem Survey arXiv:2610.08630 paper_card 1703 + EMHO arXiv:2610.08432 paper_card 1707 + Structuring MoE arXiv:2610.07332 paper_card 1713 + Robo-COP arXiv:2610.09228 paper_card 1722 + Taming VLAs arXiv:2609.37334 paper_card 1705)+ rag 主分类邻接 4 件(RECAST arXiv:2610.10507 paper_card 1717 + EngramEdit arXiv:2610.10533 paper_card 1720 + Memory Portability arXiv:2609.05339 paper_card 1238 + EAL-Bench arXiv:2609.01836 paper_card 1187)+ rag 主分类 net-new 4 件 v112 候选升档(RAG-PIBench arXiv:2610.08571 + UNREAL arXiv:2610.08463 + EC-RAG arXiv:2610.08674 + Agentic AutoRAG arXiv:2610.08452)+ Microsoft Research Agent Lightning v1.0 arXiv:2608.17528 ⚠⚬⚬⚬⚬(Microsoft Research Asia 2026-10-07 开源 + "Harnessed Agentic RL" 范式 + OpenAI 兼容 proxy + LLM proxy between agent & model + 3500 行代码 + Qwen3.5-9B SWE-bench Verified 41.8%→56.4% +14.6 pp 绝对提升 + 6K 训练样本 + 全代码全 SWE Smith 数据集开源 + Kubernetes + 任意外部 agent harness 训练 + GitHub microsoft/agent-lightning 已公开)+ Microsoft Agent Framework 1.0 GA 2026-04 沿用 v112(双源确认 AutoGen + Semantic Kernel 合并 · AutoGen 进入 maintenance mode · 新功能迁 MAF · CodeAct mode · built-in multi-agent graph supervisor routing · first-class MCP client integration)+ HF Daily 10-09 早棒 6 件 agent 候选承接稳态第 9 日(VepAgent arXiv:2610.06293 53▲ 因果-VEPD 转换视频事件预测 ⚠⚬ + PhysEvo arXiv:2610.08995 26▲ #10 Astra Can Act, Let It 顶置新立 ⚠⚬⚬ + From Pareto to Preference arXiv:2610.09684 16▲ + Self-Retrospection Distillation arXiv:2610.08077 14▲ + Tom 10-9 radar 4 高价值 = ExperienceIndex + RECAST + galahad-kv 50M Token Window arXiv:2610.10845 + Agent Plasticity)+ frontier lab 主流厂商 10 月公告俯冲延续(Anthropic Claude Haiku 5.5 10-7 $0.10/M 海量小任务 + Claude Sonnet 5.5 9-28 Terminal-Bench 4.0 70.6% 超过 Opus 5.5 66.4% 反直觉数据 + OpenAI GPT-6.1 Sol 9-29 + GPT-6 Luna + GPT-6 Intelligent UI 10-10 + Dots + 数学开放问题 Lean + Jump Trading + Google Beam 5 + SynthID Bio + Google Playground + Liquid AI d1 多模态边缘)⚠⚬⚬⚬ + OpenAI Rogue Agent 集群入侵真事件沿用 ⚠⚬⚬(Agent 安全栖位延伸稳态预备第 8 例) + TypeSafe AI Jev 评测 Judge 沿用 ⚠⚬⚬(omarsar0 10-8 · accept-or-escalate · 比 GPT-6 高 0.9 分 · 成本降 41%) + Karpathy/ylecun/DrJimFan 24h 静默期延续预备级第 4 日 ⚠⚬ + 物体永久性 10-9 早棒跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级 ⚠⚬⚬⚬⚬。

v113 立标延革预备新增 第 131-138 例预备: - 131 预备 = Robo-COP arXiv:2610.09228 paper_card 1722 飞 p 10-9 0950 精读 ⭐⭐⭐⭐ = Co-Evolving Robot Orchestrators and Policies through Deployment · 受控协同进化栖位第四象限 · freeze 部分更新 · 10 仿真 64.8%→73.8% · 3 真机 38.3%→50.0% · "Harnessed co-evolution" 把 self-modify 做成可审计闭环 - 132 预备 = ExperienceIndex arXiv:2610.10091 paper_card 1716 Artifact-Grounded Memory 预备级第 1 例 · Jacob Andreas + Samuel Madden(MIT/Microsoft/UPenn)· 知识密集型任务跨任务经验积累 · 答案质量提升 + 在线成本下降 - 133 预备 = EAL-Bench Authorization Laundering arXiv:2609.01836 paper_card 1187 采购/网络安全/金融 5 LLM 写入 + 2 LLM 执行 · 测量授权状态演化保留 · 错误级联传播为下游未授权操作 · Agent 安全栖位延伸稳态预备第 9 例 - 134 预备 = RECAST arXiv:2610.10507 paper_card 1717 自适应证据路由学习式框架 · Google DeepMind(Yilun Hao, Craig Boutilier)· Routing Evidence through Computation, Access, and Synthesis · 从"检索文档"升级到"推导证据" - 135 预备 = UniSkill arXiv:2610.10164 paper_card 1724 Actor-aligned 技能提案 · 共享策略与环境交互 · 后续训练复用 · 解决 skill 与 actor 改进混淆 · 避免测试每个候选技能的昂贵 rollout - 136 预备 = SkillForge arXiv:2610.09832 paper_card 1719 Fitness-driven 技能生命周期 trial/active/stable/retired · 预 RL 启发式 · 协同演化 · 解决过时或有害技能累积 - 137 预备 = D-OPCD arXiv:2610.07250 paper_card 1723 扩散在线上下文蒸馏 · 把 Agent 改进后的 prompt 视为特权上下文 · 蒸馏进扩散模型权重 · 让 Agent 经验内化至扩散模型 · T2I Agent 经验保留 - 138 预备 = From Pareto to Preference arXiv:2610.09684 paper_card 1718 Personalized Test-Time Scaling 摊销 agentic 策略发现 · 多维用户需求(准确率/延迟/成本)→ 可执行控制器 → 准确率-成本-延迟 Pareto · HF Daily 10-9 16▲

§3.1 共识增量:#271 v112→#270+v113 增量候选 = 沿用 v112 #270 全部 + 11 件 agent 主分类 net-new + 5 件 agent 强邻接 + 4 件 rag 主分类邻接 + 4 件 rag 主分类 net-new + 6 件 HF Daily 10-09 早棒 agent 候选 + Microsoft Agent Lightning v1.0 沿用稳态 + frontier lab 公告俯冲 + OpenAI Rogue Agent 真事件 + TypeSafe AI Jev 决策模型商业化承接第 4 例 + Karpathy/ylecun/DrJimFan 24h 静默期延续预备级第 4 日 + 物体永久性 10-9 早棒跌出第 15 日 + 立标延革预备 99-138 例预备 共 40 件 v110-v113 净增。

§3.2 争议增量:#136 v112→#135+v113 增量候选 = 沿用 v112 #135 全部 + CADFather 多提案生成机制 + Gan Jiang 衍射分析生态系统跨域适配 + UniSkill 共享策略 + SkillForge 跨模型家族泛化 + D-OPCD 扩散模型权重内化可逆性 + ExperienceIndex 跨任务经验积累存储开销 + Memory Portability 工程代价 + EAL-Bench 5 LLM 写入生产系统差距 + Robo-COP 与 Taming VLAs/SafeActBench/MotorMind 四者关系边界 + From Pareto 摊销策略新领域迁移性 + RECAST 闭源 vs 开源适配性 + EngramEdit 跨模态泛化 + galahad-kv 长期漂移保障 + HF Daily 10-09 早棒 6 件实用性 + Anthropic Sonnet 5.5 > Opus 5.5 反直觉数据溯源 + TypeSafe AI Jev 单一来源 + Karpathy/ylecun/DrJimFan 24h 静默期延续第 4 日内因 + GPT-6 Astra 矛盾扩大为两对冲突第 6 日延续 + "OpenAI 安全部门解雇事件 🚨" 待溯源第 6 日延续 + Anthropic 9-29 Frontier Red Team URL 第 10 日待溯源 + Claude Frontier Academy 1 亿/1 万工程师细节第 10 日待溯源 + Anthropic GLM-5.3 P0-7 第 4 日待溯源 = 4 件 P0 警示延续。

§3.3 开放问题增量:Q105.395 v112→Q105.394+v113 增量候选 = 沿用 v112 Q105.394 全部 + Q105.439-Q105.458 共 20 件增量开放问题(CADFather 列举源 + Gan Jiang 跨域适配 + UniSkill/SkillForge 互补 vs 重叠 + D-OPCD 权重内化可逆性 + ExperienceIndex 隐私保护 + Memory Portability 工程代价 + EAL-Bench 错误级联临界条件 + Robo-COP 与四者关系边界 + From Pareto 摊销迁移性 + RECAST SOTA multi-doc RAG 对比 + EngramEdit 跨模态 + galahad-kv 长期漂移 + HF Daily 10-09 早棒实用性 + Microsoft Agent Lightning non-SWE 任务泛化 + MAF 1.0 AutoGen 迁移 + DAEDALUS 跨模型家族 + Anthropic Sonnet 5.5 反直觉数据溯源 + TypeSafe AI Jev 评测 Judge 评测场景 + Karpathy/ylecun/DrJimFan 24h 静默期延续第 4 日内因)。

§3.4 趋势增量:T262 v112→T261+v113 增量候选 = 沿用 v112 T261 全部 + scientific/engineering Agent 落地三栖预备新增第 1 例(CADFather + Gan Jiang + PhysEvo)+ skill-policy co-evolution 栖位预备新增第 1 例(UniSkill + SkillForge + D-OPCD)+ Memory 多栖预备扩稳态第 4-7 例(ExperienceIndex + Memory Portability + EAL-Bench + galahad-kv)+ Robo-COP 受控协同进化栖位第四象限预备新增第 1 例(freeze 部分更新 + 与 Taming VLAs/SafeActBench/MotorMind 四者关系)+ Microsoft Harnessed Agentic RL 范式跃迁 + Agent Framework 1.0 沿用稳态(Lightning v1.0 + MAF 1.0 + AutoGen maintenance + CodeAct + MCP client)+ RAG 范式跃迁第二波 = 证据路由 + 条件记忆 + 模型升级迁移 + 50M token NVMe(RECAST + EngramEdit + Memory Portability + galahad-kv)+ Personalized TTS 摊销 agentic 策略发现栖位预备级(From Pareto to Preference 多维用户需求 → 可执行控制器 → 准确率-成本-延迟 Pareto)+ frontier lab 10 月公告俯冲延续 + Claude Haiku 5.5 + Claude Sonnet 5.5 Terminal-Bench 70.6% 反直觉 + OpenAI Rogue Agent 真事件沿用 + TypeSafe AI Jev + SearchJev + Liquid AI d1 = Decision Models 商业化承接第 4 例 + HF Daily 10-09 早棒 6 件 agent 候选栖位预备级(VepAgent 因果-VEPD 转换视频事件预测 + PhysEvo Astra Can Act, Let It 顶置新立 + From Pareto to Preference + Self-Retrospection Distillation + Tom radar 4 高价值)+ 物体永久性 10-9 早棒跌出第 15 日 = 立标极显著 → 跌出 双连样本第 4 例实测触发第 15 日预备级 ⚠⚬⚬⚬⚬ + 立标延革预备新增 131-138 例预备。

沿用 v112 全部:Microsoft Agent Lightning v1.0 arXiv:2608.17528 ⚠⚬⚬⚬⚬ + Microsoft Agent Framework 1.0 GA 2026-04 ⚠⚬⚬⚬ + Anthropic Claude Haiku 5.5 10-7 $0.10/M + Claude Sonnet 5.5 9-28 Terminal-Bench 4.0 70.6% > Opus 5.5 66.4% 关键反直觉数据 + OpenAI GPT-6.1 Sol 9-29 1.05M token 上下文 + GPT-6 Luna + GPT-6 Intelligent UI 10-10 + Dots + 数学开放问题 Lean + Jump Trading ChatGPT + Google Beam 5 + SynthID Bio + Google Playground + Liquid AI d1 多模态边缘 + Anthropic Claude Frontier Academy + DeepMind Gemini 4 Argon 9-30 + frontier lab 公告俯冲延续 ⚠⚬⚬⚬ + OpenAI Rogue Agent 集群入侵真事件沿用 ⚠⚬⚬ + TypeSafe AI Jev 评测 Judge accept-or-escalate 比 GPT-6 高 0.9 分 成本降 41% ⚠⚬⚬ + SearchJev 14▲ #9 + Liquid AI d1 + Cloudflare Workers AI = Decision Models 商业化承接第 3-4 例 ⚠⚬⚬ + The AI Engineer Agents Stack 2026 沿用 ⚠⚬⚬⚬ + OpenAI Agents SDK + Google ADK + Microsoft Semantic Kernel + AutoGen 合并 + HuggingFace smolagents 五大实验室 SDK 齐备 + LangGraph 1.0 Oct 2025 GA + MCP Model Context Protocol 2026 Agent 工具调用标准 + AWS/OWASP Agent 评估指南 + 关键洞察"基础设施 solved problem,真正难题是 human boundary design"⚠⚬⚬⚬ + SAS + CUAWright + Self-Supervised Scaling Terminal Environments + Nexus + Memadapter + 4DCodeBench + UndoBench + Agentic-ZTA + Bounded Provisional Visibility + Source Learning + Code2Games + QuantCode + AI-Decision Checkpoints BPM + DAEDALUS + SafeActBench + MiniCorp + EMHO + ParamMem Survey + Taming VLAs + RAG-PIBench + UNREAL + EC-RAG + Agentic AutoRAG + RAG+Agent+记忆 主轴三栖预备扩增稳态 + Agent 安全栖位延伸稳态 + HF 首页 (0710) 入侵事件 + 反思棒 72→73 + 监控 78→79 + E1 第四十三→第四十四轮 + main line A 103→104 天 + 立标池第 69→70 日 + §3.1 #270→#271 + §3.2 #135→#136 + §3.3 Q105.394→Q105.395 + §3.4 T261→T262 + 沿用 v106/v107/v108/v109/v110/v111/v112 全部 8 实例跨日去重对账沿用稳态。

Web fresh 来源:Microsoft Research Asia 2026-10-07 Agent Lightning v1.0 开源公告 ⚠⚬⚬⚬⚬(3500 行代码 + "Harnessed Agentic RL" 范式 + Qwen3.5-9B SWE-bench Verified 41.8%→56.4% +14.6 pp + 6K 训练样本 + 全代码全 SWE Smith 数据集开源 + Kubernetes 部署支持 + 任意外部 agent harness 训练 + GitHub microsoft/agent-lightning + GitHub README + citation he2026agentlightningv10harnessed)+ Microsoft Agent Framework 1.0 GA 2026-04 ⚠⚬⚬⚬(AutoGen + Semantic Kernel 合并 · AutoGen 进入 maintenance mode · 新功能迁 MAF · CodeAct mode · built-in multi-agent graph supervisor routing · first-class MCP client integration)。

诚实度声明:本轮(2026-10-09 10:30 CST)在 v111 基础(24h 净窗口期)+ v112 候选升档(10-8 24h 净窗口期)+ 跨窗口期 73h(10-6 → 10-9)累计 = agent 主分类 net-new 11 件(CADFather + Gan Jiang + UniSkill + PhysEvo + ExperienceIndex + SkillForge + D-OPCD + From Pareto to Preference + DAEDALUS + SafeActBench + MiniCorp)+ agent 强邻接 5 件(ParamMem Survey + EMHO + Structuring MoE + Robo-COP + Taming VLAs)+ rag 主分类邻接 4 件(RECAST + EngramEdit + Memory Portability + EAL-Bench)+ rag 主分类 net-new 4 件 v112 候选升档(RAG-PIBench + UNREAL + EC-RAG + Agentic AutoRAG)+ HF Daily 10-09 早棒 6 件 agent 候选(VepAgent + PhysEvo + From Pareto + Self-Retrospection Distillation + Tom radar 4 高价值)+ Web fresh 2 件 Microsoft Agent Lightning v1.0 + Microsoft Agent Framework 1.0 GA = 总计净新增 31 件核心增量;叠加立标延革预备新增 131-138 例预备 + §3.1 #270→#271 + §3.2 #135→#136 + §3.3 Q105.394→Q105.395 + §3.4 T261→T262 + 物体永久性 10-9 早棒跌出第 15 日;整体 = v111 三栖预备扩增稳态 + 立标延革承接体系的延续 + v112 候选 Microsoft Agent Lightning v1.0 + Agent Framework 1.0 GA + frontier lab 10 月公告俯冲(Anthropic + OpenAI + Google DeepMind)+ HF Agent 首次成为 HF Hub 第一大用户类型 + Robo-COP 受控协同进化栖位第四象限预备新增第 1 例。

v113 arXiv 编号(沿用 v111 + v112/v113 净增)

arXiv:2502.01810;arXiv:2502.04476;arXiv:2502.05167;arXiv:2502.08826;arXiv:2503.14499;arXiv:2504.12330;arXiv:2505.24238;arXiv:2506.01716;arXiv:2506.06266;arXiv:2507.05257;arXiv:2508.08137;arXiv:2508.08438;arXiv:2508.09736;arXiv:2510.04618;arXiv:2510.05381;arXiv:2510.10991;arXiv:2510.15253;arXiv:2510.20082;arXiv:2511.01815;arXiv:2511.07587;arXiv:2512.04388;arXiv:2512.16978;arXiv:2601.04043;arXiv:2601.06112;arXiv:2601.06288;arXiv:2601.07978;arXiv:2601.11044;arXiv:2601.11816;arXiv:2601.18137;arXiv:2601.20730;arXiv:2601.21557;arXiv:2601.22311;arXiv:2602.00288;arXiv:2602.00751;arXiv:2602.03442;arXiv:2602.06052;arXiv:2602.07962;arXiv:2602.08226;arXiv:2602.10122;arXiv:2602.10479;arXiv:2602.11510;arXiv:2602.15763;arXiv:2602.16412;arXiv:2602.16603;arXiv:2602.16666;arXiv:2602.18998;arXiv:2602.19320;arXiv:2602.20478;arXiv:2602.21566;arXiv:2602.23166;arXiv:2602.23368;arXiv:2603.00873;arXiv:2603.02001;arXiv:2603.02081;arXiv:2603.03589;arXiv:2603.03780;arXiv:2603.06569;arXiv:2603.07379;arXiv:2603.07670;arXiv:2603.09619;arXiv:2603.10726;arXiv:2603.12056;arXiv:2603.15569;arXiv:2603.20432;arXiv:2603.21489;arXiv:2603.23448;arXiv:2603.27918;arXiv:2603.28052;arXiv:2603.29231;arXiv:2604.00901;arXiv:2604.01687;arXiv:2604.01707;arXiv:2604.09552;arXiv:2604.11623;arXiv:2604.11978;arXiv:2604.12312;arXiv:2604.12374;arXiv:2604.12452;arXiv:2604.16371;arXiv:2604.16548;arXiv:2604.17227;arXiv:2604.22748;arXiv:2604.25724;arXiv:2604.27859;arXiv:2605.00528;arXiv:2605.01280;arXiv:2605.02189;arXiv:2605.02244;arXiv:2605.08962;arXiv:2605.10907;arXiv:2605.11202;arXiv:2605.11733;arXiv:2605.13831;arXiv:2605.14165;arXiv:2605.15040;arXiv:2605.19537;arXiv:2605.19743;arXiv:2605.20173;arXiv:2605.20466;arXiv:2605.22138;arXiv:2605.22907;arXiv:2605.23296;arXiv:2605.23950;arXiv:2605.24219;arXiv:2605.26112;arXiv:2605.27922;arXiv:2605.28732;arXiv:2605.28774;arXiv:2605.29640;arXiv:2605.30434;arXiv:2606.00152;arXiv:2606.01613;arXiv:2606.01927;arXiv:2606.02871;arXiv:2606.04594;arXiv:2606.05405;arXiv:2606.06036;arXiv:2606.06054;arXiv:2606.07402;arXiv:2606.08340;arXiv:2606.09498;arXiv:2606.10953;arXiv:2606.13610;arXiv:2606.14470;arXiv:2606.14589;arXiv:2606.14797;arXiv:2606.15367;arXiv:2606.17518;arXiv:2606.18037;arXiv:2606.18431;arXiv:2606.19803;arXiv:2606.21238;arXiv:2606.25760;arXiv:2606.26511;arXiv:2606.28565;arXiv:2606.29328;arXiv:2606.29538;arXiv:2606.29708;arXiv:2606.31145;arXiv:2607.00394;arXiv:2607.00406;arXiv:2607.01420;arXiv:2607.01579;arXiv:2607.02403;arXiv:2607.02574;arXiv:2607.03065;arXiv:2607.03333;arXiv:2607.03451;arXiv:2607.04412;arXiv:2607.04617;arXiv:2607.04763;arXiv:2607.05069;arXiv:2607.05382;arXiv:2607.05428;arXiv:2607.05511;arXiv:2607.05708;arXiv:2607.05876;arXiv:2607.05936;arXiv:2607.06065;arXiv:2607.06273;arXiv:2607.06507;arXiv:2607.06624;arXiv:2607.06815;arXiv:2607.07050;arXiv:2607.07386;arXiv:2607.07508;arXiv:2607.07702;arXiv:2607.07953;arXiv:2607.08269;arXiv:2607.08395;arXiv:2607.08459;arXiv:2607.08466;arXiv:2607.08495;arXiv:2607.08716;arXiv:2607.08768;arXiv:2607.08770;arXiv:2607.08964;arXiv:2607.08973;arXiv:2607.09172;arXiv:2607.09322;arXiv:2607.09349;arXiv:2607.09424;arXiv:2607.09701;arXiv:2607.09759;arXiv:2607.10183;arXiv:2607.10350;arXiv:2607.10400;arXiv:2607.10463;arXiv:2607.10508;arXiv:2607.11149;arXiv:2607.11172;arXiv:2607.11250;arXiv:2607.11423;arXiv:2607.11487;arXiv:2607.11498;arXiv:2607.11505;arXiv:2607.11523;arXiv:2607.11643;arXiv:2607.11683;arXiv:2607.11736;arXiv:2607.11783;arXiv:2607.11849;arXiv:2607.11862;arXiv:2607.11881;arXiv:2607.12227;arXiv:2607.12395;arXiv:2607.12406;arXiv:2607.12463;arXiv:2607.12747;arXiv:2607.12764;arXiv:2607.12800;arXiv:2607.13027;arXiv:2607.13034;arXiv:2607.13104;arXiv:2607.13125;arXiv:2607.13188;arXiv:2607.13276;arXiv:2607.13705;arXiv:2607.13988;arXiv:2607.14076;arXiv:2607.14187;arXiv:2607.14277;arXiv:2607.14387;arXiv:2607.14541;arXiv:2607.14660;arXiv:2607.14777;arXiv:2607.14830;arXiv:2607.14935;arXiv:2607.14952;arXiv:2607.15095;arXiv:2607.15207;arXiv:2607.15257;arXiv:2607.15263;arXiv:2607.15277;arXiv:2607.15314;arXiv:2607.15434;arXiv:2607.15495;arXiv:2607.15550;arXiv:2607.15657;arXiv:2607.15901;arXiv:2607.15948;arXiv:2607.16169;arXiv:2607.16617;arXiv:2607.17247;arXiv:2607.17250;arXiv:2607.17423;arXiv:2607.17675;arXiv:2607.17715;arXiv:2607.17790;arXiv:2607.17986;arXiv:2607.18082;arXiv:2607.18141;arXiv:2607.18142;arXiv:2607.18144;arXiv:2607.18155;arXiv:2607.18171;arXiv:2607.18213;arXiv:2607.18217;arXiv:2607.18529;arXiv:2607.18603;arXiv:2607.18754;arXiv:2607.18772;arXiv:2607.18825;arXiv:2607.19058;arXiv:2607.19191;arXiv:2607.19215;arXiv:2607.19238;arXiv:2607.19297;arXiv:2607.19712;arXiv:2607.19747;arXiv:2607.19793;arXiv:2607.19857;arXiv:2607.19865;arXiv:2607.19867;arXiv:2607.20064;arXiv:2607.20145;arXiv:2607.20346;arXiv:2607.20368;arXiv:2607.20379;arXiv:2607.20709;arXiv:2607.20891;arXiv:2607.20911;arXiv:2607.21051;arXiv:2607.21461;arXiv:2607.21503;arXiv:2607.21557;arXiv:2607.21576;arXiv:2607.21596;arXiv:2607.21653;arXiv:2607.22043;arXiv:2607.22157;arXiv:2607.22375;arXiv:2607.22448;arXiv:2607.22682;arXiv:2607.22724;arXiv:2607.23193;arXiv:2607.23263;arXiv:2607.23693;arXiv:2607.23802;arXiv:2607.24117;arXiv:2607.24223;arXiv:2607.24653;arXiv:2607.24882;arXiv:2607.25236;arXiv:2607.25308;arXiv:2607.25379;arXiv:2607.25380;arXiv:2607.25398;arXiv:2607.25431;arXiv:2607.25565;arXiv:2607.25600;arXiv:2607.25614;arXiv:2607.25886;arXiv:2607.25959;arXiv:2607.25996;arXiv:2607.26314;arXiv:2607.26410;arXiv:2607.26451;arXiv:2607.26520;arXiv:2607.26611;arXiv:2607.26627;arXiv:2607.26637;arXiv:2607.26654;arXiv:2607.26657;arXiv:2607.26760;arXiv:2607.26784;arXiv:2607.26811;arXiv:2607.26991;arXiv:2607.27146;arXiv:2607.27167;arXiv:2607.27201;arXiv:2607.27506;arXiv:2607.27749;arXiv:2607.27851;arXiv:2607.27888;arXiv:2607.27919;arXiv:2607.27945;arXiv:2607.27958;arXiv:2607.28126;arXiv:2607.28227;arXiv:2607.28229;arXiv:2607.28263;arXiv:2607.28397;arXiv:2607.28415;arXiv:2607.28509;arXiv:2607.28568;arXiv:2607.28580;arXiv:2607.28609;arXiv:2607.28617;arXiv:2607.28618;arXiv:2607.28624;arXiv:2607.28675;arXiv:2607.28802;arXiv:2607.28887;arXiv:2607.29007;arXiv:2607.29025;arXiv:2607.29167;arXiv:2607.29209;arXiv:2607.29377;arXiv:2607.29402;arXiv:2607.29459;arXiv:2607.29610;arXiv:2607.29677;arXiv:2607.29679;arXiv:2608.00079;arXiv:2608.00101;arXiv:2608.00267;arXiv:2608.00650;arXiv:2608.00675;arXiv:2608.00677;arXiv:2608.00730;arXiv:2608.00799;arXiv:2608.00902;arXiv:2608.00922;arXiv:2608.01049;arXiv:2608.01185;arXiv:2608.01481;arXiv:2608.01526;arXiv:2608.01628;arXiv:2608.01678;arXiv:2608.01735;arXiv:2608.01837;arXiv:2608.01851;arXiv:2608.01964;arXiv:2608.01975;arXiv:2608.02023;arXiv:2608.02218;arXiv:2608.02437;arXiv:2608.02515;arXiv:2608.02580;arXiv:2608.02583;arXiv:2608.02589;arXiv:2608.02602;arXiv:2608.02703;arXiv:2608.02711;arXiv:2608.02713;arXiv:2608.02738;arXiv:2608.02791;arXiv:2608.02870;arXiv:2608.03316;arXiv:2608.03392;arXiv:2608.03419;arXiv:2608.03451;arXiv:2608.03457;arXiv:2608.03571;arXiv:2608.03573;arXiv:2608.03744;arXiv:2608.03756;arXiv:2608.03764;arXiv:2608.03812;arXiv:2608.03836;arXiv:2608.03874;arXiv:2608.03972;arXiv:2608.03974;arXiv:2608.03979;arXiv:2608.04003;arXiv:2608.04205;arXiv:2608.04302;arXiv:2608.04397;arXiv:2608.04530;arXiv:2608.04537;arXiv:2608.04569;arXiv:2608.05013;arXiv:2608.05102;arXiv:2608.05108;arXiv:2608.05138;arXiv:2608.05139;arXiv:2608.05219;arXiv:2608.05224;arXiv:2608.05248;arXiv:2608.05466;arXiv:2608.05565;arXiv:2608.05604;arXiv:2608.05631;arXiv:2608.05703;arXiv:2608.05747;arXiv:2608.05784;arXiv:2608.05798;arXiv:2608.05802;arXiv:2608.05850;arXiv:2608.05879;arXiv:2608.05987;arXiv:2608.06020;arXiv:2608.06033;arXiv:2608.06060;arXiv:2608.06113;arXiv:2608.06130;arXiv:2608.06197;arXiv:2608.06216;arXiv:2608.06257;arXiv:2608.06296;arXiv:2608.06301;arXiv:2608.06305;arXiv:2608.06352;arXiv:2608.06485;arXiv:2608.06501;arXiv:2608.06790;arXiv:2608.06865;arXiv:2608.06867;arXiv:2608.07009;arXiv:2608.07051;arXiv:2608.07126;arXiv:2608.07152;arXiv:2608.07169;arXiv:2608.07193;arXiv:2608.07370;arXiv:2608.07446;arXiv:2608.07458;arXiv:2608.07468;arXiv:2608.07545;arXiv:2608.07565;arXiv:2608.07594;arXiv:2608.07645;arXiv:2608.08020;arXiv:2608.08097;arXiv:2608.08160;arXiv:2608.08311;arXiv:2608.08466;arXiv:2608.08612;arXiv:2608.08621;arXiv:2608.08627;arXiv:2608.08676;arXiv:2608.08722;arXiv:2608.08814;arXiv:2608.08975;arXiv:2608.09096;arXiv:2608.09119;arXiv:2608.09158;arXiv:2608.09209;arXiv:2608.09250;arXiv:2608.09408;arXiv:2608.09802;arXiv:2608.09853;arXiv:2608.09867;arXiv:2608.09873;arXiv:2608.09888;arXiv:2608.09897;arXiv:2608.09900;arXiv:2608.09928;arXiv:2608.10299;arXiv:2608.10628;arXiv:2608.10636;arXiv:2608.10708;arXiv:2608.10720;arXiv:2608.10744;arXiv:2608.10835;arXiv:2608.10875;arXiv:2608.10915;arXiv:2608.11030;arXiv:2608.11123;arXiv:2608.11205;arXiv:2608.11341;arXiv:2608.11350;arXiv:2608.11367;arXiv:2608.11632;arXiv:2608.11660;arXiv:2608.11745;arXiv:2608.11752;arXiv:2608.11924;arXiv:2608.11947;arXiv:2608.12036;arXiv:2608.12123;arXiv:2608.12149;arXiv:2608.12218;arXiv:2608.12253;arXiv:2608.12278;arXiv:2608.12304;arXiv:2608.12307;arXiv:2608.12313;arXiv:2608.12314;arXiv:2608.12440;arXiv:2608.12564;arXiv:2608.12571;arXiv:2608.12700;arXiv:2608.12743;arXiv:2608.12845;arXiv:2608.12875;arXiv:2608.12986;arXiv:2608.12987;arXiv:2608.13010;arXiv:2608.13040;arXiv:2608.13120;arXiv:2608.13122;arXiv:2608.13160;arXiv:2608.13210;arXiv:2608.13237;arXiv:2608.13263;arXiv:2608.13384;arXiv:2608.13391;arXiv:2608.13410;arXiv:2608.13417;arXiv:2608.13426;arXiv:2608.13467;arXiv:2608.13484;arXiv:2608.13489;arXiv:2608.13499;arXiv:2608.13505;arXiv:2608.13515;arXiv:2608.13517;arXiv:2608.13538;arXiv:2608.13545;arXiv:2608.13546;arXiv:2608.13547;arXiv:2608.13552;arXiv:2608.13555;arXiv:2608.13558;arXiv:2608.13560;arXiv:2608.13567;arXiv:2608.13606;arXiv:2608.13622;arXiv:2608.13667;arXiv:2608.13760;arXiv:2608.13867;arXiv:2608.13900;arXiv:2608.13987;arXiv:2608.14022;arXiv:2608.14036;arXiv:2608.14054;arXiv:2608.14075;arXiv:2608.14144;arXiv:2608.14210;arXiv:2608.14221;arXiv:2608.14277;arXiv:2608.14284;arXiv:2608.14290;arXiv:2608.14312;arXiv:2608.14361;arXiv:2608.14377;arXi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v113 CVE 编号

CVE-2025-49596; CVE-2026-22773; CVE-2026-22778; CVE-2026-26029; CVE-2026-3059; CVE-2026-3060; CVE-2026-30623; CVE-2026-3172; CVE-2026-33626; CVE-2026-3989; CVE-2026-4372; CVE-2026-5059; CVE-2026-5241; CVE-2026-54769; CVE-2026-57572; CVE-2026-59726; CVE-2026-61447; CVE-2026-61539

v113 DOI 编号

DOI: 10.5281/zenodo.20953922

v113 URL 锚点清单(沿用 v111 全部 + v112/v113 净增)

https://academy.dair.ai/papers/neohorse-1-towards-recursive-self-improvement-via-agentic-post-training-with-rou-2609.08183 https://adg.csdn.net/6a68c5bd662f9a54cb956060.html https://aishwaryasrinivasan.substack.com/p/all-you-need-to-know-about-rag-in https://aixfunda.substack.com https://aixfunda.substack.com/p/top-llm-rag-and-agent-updates-of-32f https://alphacorp.ai/blog/best-vector-databases-for-rag-2026-top-7-picks https://alphasignalai.substack.com https://alphasignalai.substack.com/p/d-mem-agent-memory-third-path https://alphasignalai.substack.com/p/rag-and-long-context-arent-enough https://arxiv.org/abs/2502.05167 https://arxiv.org/abs/2502.08826 https://arxiv.org/abs/2504.12330 https://arxiv.org/abs/2506.01716 https://arxiv.org/abs/2508.08137 https://arxiv.org/abs/2510.10991 https://arxiv.org/abs/2510.11541v2 https://arxiv.org/abs/2510.15253 https://arxiv.org/abs/2601.04043 https://arxiv.org/abs/2601.21557 https://arxiv.org/abs/2602.06052 https://arxiv.org/abs/2602.18998v1 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