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## 2026-07-04 — ingest | Agents Want Filesystems：NoKV 文件系统形态 Agent 接口（新智元报道）
- 添加文章 [[agents-want-filesystems-nokv-2026]]: "Agents Want Filesystems：为什么文件系统形态的接口让 Agent 更高效" — NoKV benchmark：文件系统接口 -45% token, -39% 成本
- 新增 7 个概念页: [[agent-workspace-filesystem]], [[nokv]], [[progressive-disclosure]], [[attention-drifting]], [[artifact-heavy-agentic-systems]], [[pushdown-in-agent-interface]], [[agent-interface-design]]
- 更新已有概念: [[token-efficiency]]（新增 Agent 接口角度）, [[workspace-first-architecture]]（新增与文件系统接口的关系讨论）
- 来源: https://mp.weixin.qq.com/s/VdjhAzjmdAkL-aHRGiEUHw (新智元) + https://nokv.io/blog/agents-want-filesystems
## 2026-07-04 — ingest | Semantic Robustness Certification for VLM (arXiv:2606.18839, ICML 2026) + 数据派THU 报道
- 添加论文 [[semantic-robustness-certification-vlm-2026]]: "Semantic Robustness Certification for Vision-Language Models" — VLM 语义鲁棒性认证，文本 prompt 代理 + Voronoi 决策边界闭式认证
- 添加文章 [[semantic-robustness-cert-vlm-report-2026]]: "面向视觉语言模型的语义鲁棒性认证" — 数据派THU 中文报道
- 新增 21 个概念页: [[vision-language-models]], [[robustness-certification]], [[clip]], [[dual-encoder-vlm]], [[cosine-similarity-geometry]], [[randomized-smoothing]], [[exactline]], [[semantic-robustness-certification]], [[semantic-extent]], [[text-proxy-for-semantics]], [[semantic-plane]], [[prediction-invariant-intervals]], [[voronoi-decision-regions]], [[misalignment-budget]], [[additive-semantics]], [[open-vocabulary-recognition]], [[deep-poly]], [[crown-verifier]], [[adversarial-robustness]], [[contrastive-learning]], [[zero-shot-classification]]
- 来源: arXiv:2606.18839 + https://mp.weixin.qq.com/s/HupoMpofsk5Ltx2RoCdAGQ (数据派THU)
## 2026-07-03 — ingest | Zleap-Agent：Workspace-first 的 Agent Harness 设计（Datawhale 公众号）
- 添加文章 [[zleap-workspace-harness-2026]]: "Zleap-Agent：Workspace-first 的 Agent Harness 设计" — Zleap-Agent 的 Workspace-first 架构、五维度 Harness 设计（Context/Tools/Memory/Runtime/Boundary）
- 新增 10 个概念页: [[workspace-first-architecture]], [[tool-workspace-binding]], [[memory-tripartite-partition]], [[memory-dream]], [[memory-recall-fast-slow]], [[agent-runtime-trace]], [[agent-boundary-design]], [[multi-model-routing]], [[context-prefetch-vs-agentic]], [[channel-fracture]]
- 来源: https://mp.weixin.qq.com/s/iiTmgbtrYHMMjQ7dn7CDrg (作者：陈思州, Datawhale)
## 2026-07-03 — ingest | LEAP: Agentic Formal Theorem Proving (arXiv:2606.03303, 2026)
- 添加论文 [[leap-agentic-atp]]: "LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks" — 仅用通用 LLM 达到 SOTA ATP，Putnam 2025 12/12，Lean-IMO-Bench 70%
- 新增 3 个伞概念 + 7 个专属概念 + 1 个 Review: [[formal-theorem-proving]], [[lean-proof-assistant]], [[autoformalization]], [[and-or-dag-memoization]], [[blueprint-driven-atp]], [[interleaved-informal-formal-planning]], [[verification-guided-proof-search]], [[lean-imo-bench]], [[anticipatory-lemma-planning]]
- 来源: https://arxiv.org/abs/2606.03303 (Google Cloud AI / DeepMind)
## 2026-07-02 — ingest | The Verification Horizon: No Silver Bullet for Coding Agent Rewards (arXiv:2606.26300, 2026)
- 添加论文 [[verification-horizon-no-silver-bullet]]: Qwen Team 系统性分析 coding agent 验证与奖励设计，提出 verification horizon / trilemma / co-evolution 框架
- 新增 16 个概念页: [[verification-horizon]] [[verification-trilemma]] [[verifier-generator-coevolution]] [[intent-underspecification]] [[test-driven-rewards]] [[agentic-quality-judge]] [[behavior-monitoring-rl]] [[interactive-judge]] [[rubric-based-evaluation]] [[human-implicit-reward-signals]] [[span-kto]] [[agent-evaluator]] [[evaluator-metrics]] [[goodharts-law]] [[rice-theorem]]
- 复用已有概念: [[reward-hacking]]
- 来源: https://arxiv.org/abs/2606.26300
## 2026-06-29 — ingest | Tapered Language Models (arXiv:2606.23670, cs.LG)
- 添加论文 [[tapered-language-models]]: "Tapered Language Models" — 深度感知容量分配，固定预算下 MLP 宽度余弦渐缩，Bayat-Behrouz-Courville (Mila/Cornell)
- 新增 3 个概念页: [[depth-aware-capacity-allocation]], [[mlp-width-tapering]], [[cosine-taper-schedule]]
- 来源: https://arxiv.org/abs/2606.23670
## 2026-06-29 — ingest | 真机RL安全探索均衡 — 机器之心报道 (数据派THU)
- 添加文章 [[real-world-safe-exploration-see-2026]]: "真机强化学习的安全探索均衡" — 机器之心对 SEE 论文的中文科普报道
- 新增 3 个概念页: [[real-world-rl]] (真机强化学习), [[risky-bellman-equation]] (风险贝尔曼方程), [[clique-decision-problem]] (团判定问题)
- 交叉引用: [[safe-equilibrium-exploration]] (论文主页追加报道链接)
- 来源: https://mp.weixin.qq.com/s/nE9gq1bStIg1qhWpIRvQHQ
## 2026-06-29 — ingest | Safe Equilibrium Exploration (arXiv:2602.00636, IEEE TPAMI 2026)
- 添加论文 [[safe-equilibrium-exploration]]: "On the Equilibrium between Feasible Zone and Uncertain Model in Safe Exploration" — 首次揭示安全探索的均衡本质，Yang-Zheng-Li (清华)
- 新增 7 个概念页: [[safe-exploration]], [[feasible-zone]], [[equilibrium-safe-exploration]], [[safe-equilibrium-exploration]] (SEE 算法), [[safety-filter]], [[control-barrier-function]], [[uncertain-model]]
- 来源: https://arxiv.org/abs/2602.00636
## 2026-06-29 — ingest | An exponential improvement for Ramsey lower bounds (arXiv:2507.12926, math.CO)
- 添加论文 [[ramsey-sphere-lowerbound]]: "An exponential improvement for Ramsey lower bounds" — 78年来首次指数突破 Erdős 1947 Ramsey 下界，Ma-Shen-Xie
- 新增 2 个概念页: [[random-sphere-graph]] (随机球面图 G_{k,p}(n)), [[perfect-sequences]] (完美序列)
- 更新 2 个已有概念页: [[ramsey-numbers]] (追加2026下界突破), [[probabilistic-method]] (追加几何推广)
- 来源: https://arxiv.org/abs/2507.12926
## 2026-06-29 — ingest | AI 开发范式演进：从 Prompt Engineering 到 Loop Engineering (Datawhale, 邱汉宸)
- 添加文章 [[prompt-to-loop-engineering-2026]]: "AI 开发范式演进：从 Prompt Engineering 到 Loop Engineering" — Datawhale 系统性综述四次浪潮
- 新增 18 个概念页: [[loop-engineering]], [[prompt-engineering]], [[loop-contract]], [[loop-maturity-levels]], [[blind-prompting]], [[circuit-breaker-pattern]], [[watchdog-pattern]], [[mechanism-policy-separation]], [[context-failure-modes]], [[minimum-viable-context]], [[prefix-matching-invariant]], [[skill-issue-framework]], [[harness-as-a-service]], [[loop-designer]], [[model-proposes-harness-executes]], [[just-in-time-retrieval]], [[dspy]], [[graphrag]], [[mcp]]
- 更新 3 个已有概念页: [[prompt-to-harness-evolution]] (三阶段→四阶段), [[context-engineering]] (追加故障模式+优化策略), [[harness-engineering]] (追加八条原则+四阶段定位)
- 来源: https://mp.weixin.qq.com/s/hcgKahtQRE2QqI6xplv2Rg
## 2026-06-27 — ingest | The Rules of the Game: A Survey of Rubrics for LLMs (GitHub Pages, 2026)
- 添加论文 [[rubrics-survey-2026]]: "The Rules of the Game: A Survey of Rubrics for Large Language Models" — 首篇 LLM rubrics 全面综述，人大
- 新增 9 个概念页: [[rubrics-for-llms]], [[rubric-construction]], [[rubric-aggregation]], [[rubric-based-reward-modeling]], [[rubric-driven-evaluation]], [[rubric-personalization]], [[rubric-safety]], [[llm-as-a-judge]]
- 来源: https://8421bcd.github.io/_pages/Rubrics_Survey.pdf
## 2026-06-25 — ingest | Wan-Streamer v0.1 (arXiv:2606.25041, 2026)
- 添加论文 [[wan-streamer]]: "Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models" — 阿里巴巴 Wan Team 的端到端流式全双工音视频交互基础模型
@@ -44,6 +108,23 @@
- 新增 7 个概念页: [[dual-collapse]], [[trajectory-supervision]], [[space-supervision]], [[unified-latent-probe]], [[information-performance-binding]], [[generative-reconstruction-latent]], [[geometric-compression-latent]]
- 来源: https://arxiv.org/abs/2606.20075
## [2026-06-28] — ingest | GR4AD: Generative Recommendation for Large-Scale Advertising (arXiv:2602.22732, Kuaishou 2026)
- 添加论文 [[GR4AD]]: "Generative Recommendation for Large-Scale Advertising" — Kuaishou 广告生成式推荐系统，4 亿用户全量部署
- 新增 12 个概念页: [[generative-recommendation]], [[semantic-id]], [[ua-sid]], [[mgmr-rq-kmeans]], [[lazyar]], [[value-aware-supervised-learning]], [[rspo]], [[unified-vsl-rspo]], [[dynamic-beam-serving]], [[beam-shared-kv-caching]], [[reco-result-cache]]
- 来源: https://arxiv.org/abs/2602.22732
## [2026-06-28] — ingest | DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation (DeepSeek, 2026)
- 添加论文 [[DSpark]]: "Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation" — 半自回归草稿 + 硬件感知置信度调度
- 新增 16 个概念页: [[speculative-decoding]], [[semi-autoregressive-generation]], [[confidence-scheduled-verification]], [[hardware-aware-prefix-scheduler]], [[confidence-head]], [[sequential-temperature-scaling]], [[markov-draft-head]], [[rnn-draft-head]], [[prefix-survival-probability]], [[cross-mode-collision]], [[position-wise-conditional-acceptance]], [[kv-injection]], [[parallel-drafting]], [[autoregressive-drafting]], [[DFlash]], [[Eagle3]], [[MTP]], [[pareto-frontier-llm-serving]]
- 来源: https://github.com/deepseek-ai/DeepSpec/blob/main/DSpark_paper.pdf
## [2026-06-25] — ingest | Mapping Networks (arXiv:2602.19134, cs.CV 2026)
- 添加论文 [[sen-mapping-networks]]: "Mapping Networks" — 隐向量驱动参数生成，200-500× 可训练参数缩减
- 新增 13 个概念页: [[weight-manifold-hypothesis]], [[mapping-theorem]], [[solvability-theorem]], [[mapping-loss]], [[weight-modulation]], [[layer-wise-training]], [[hypernetworks]], [[manifold-hypothesis]], [[low-rank-decomposition]], [[lottery-ticket-hypothesis]], [[parameter-efficient-training]], [[loss-landscape]], [[intrinsic-dimension]], [[lipschitz-continuity]]
- 添加 Review: [[sen-mapping-networks-2026-06-25]]
- 来源: https://arxiv.org/abs/2602.19134
## [2026-06-25] create | Agent Memory Five-Category Model (sz 记忆架构设计)
- 新增概念 [[agent-memory-five-category-model]]: sz 五类记忆模型——知识/概念/Cron/用户绑定/前瞻记忆的完整分类与 Atlas 映射
- 新增概念 [[prospective-memory-index]]: 前瞻记忆索引——第 5 类记忆（计划/想法/洞察）的锚点设计：语义关联衰减、LLM 重要性分类器、闭合状态管理
@@ -209,68 +290,9 @@
## [2026-06-18] ingest | Mamba: Linear-Time Sequence Modeling with Selective State Spaces (arXiv:2312.00752)
- 添加论文 [[gu-mamba]]: "Mamba" — 选择性状态空间模型，线性时间序列建模
- 新增 7 个概念页: [[selective-state-space]], [[hardware-aware-algorithm]], [[structured-state-space-models]], [[content-based-reasoning]], [[selective-copy]], [[induction-heads]], [[hippo]]
- 更新 2 个已有概念页: [[mamba-ssm]] (大幅扩充), [[state-space-models]] (追加论文引用)
- 新增 review: [[mamba-review-20260618]]
- 来源: https://arxiv.org/abs/2312.00752 | 代码: https://github.com/state-spaces/mamba
- 新增 7 个概念页: [[selective-state-space]], [[hardware-aware-algorithm]], [[structured-state-space-models]], [[content-based-reasoning]], [[selective-copy]], [[induction-heads]], [[hippo]
## [2026-06-18] ingest | Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction (arXiv:2602.08585, ICML 2026)
- 添加论文 [[tang-lukv]]: "LU-KV" — 基于全局组合优化的 head 级 KV Cache 预算分配框架
- 新增 18 个概念页: [[kv-cache]], [[kv-cache-eviction]], [[lukv]], [[oracle-importance]], [[optimality-gap]], [[long-horizon-utility]], [[marginal-utility]], [[global-combinatorial-optimization]], [[convex-hull-relaxation]], [[offline-profiling]], [[head-level-budget-allocation]], [[intra-head-eviction]], [[cross-head-budget-allocation]], [[heuristic-metric]], [[snapkv]], [[pyramidkv]], [[adkv]], [[keydiff]]
- 新增 review: [[lukv-review-20260618]]
- 来源: https://arxiv.org/abs/2602.08585
## [2026-06-18] ingest | The Topological Trouble With Transformers (arXiv:2604.17121, Preprint)
- 添加论文 [[mozer-topological-trouble-transformers-2026]]: "The Topological Trouble With Transformers" — 分析前馈 Transformer 状态追踪的拓扑性局限并提出循环架构分类法
- 新增 16 个概念页: [[state-tracking]], [[feedforward-depth-limitation]], [[belief-state]], [[depth-dilemma]], [[recurrent-transformer-architectures]], [[recurrence-taxonomy]], [[depth-recurrence]], [[step-recurrence]], [[coarse-grained-recurrence]], [[latent-thought-models]], [[attractor-dynamics]], [[enhanced-state-space-models]], [[representational-alignment]], [[sequential-dependency]], [[autoregressive-unrolling]], [[state-space-models]]
- 来源: https://arxiv.org/abs/2604.17121
## [2026-06-17] ingest | Uncertainty Estimation and Generalization Bounds for Modern Deep Learning (PhD Thesis, arXiv:2606.13818, cs.LG 2026)
- 添加论文 [[ortega-phd-thesis]]: "Uncertainty Estimation and Generalization Bounds" — PhD论文，DVIP + VaLLA + FMGP + PAC-Chernoff泛化界
- 新增 10 个概念页: [[deep-variational-implicit-process|DVIP]], [[variational-linearized-laplace-approximation|VaLLA]], [[fixed-mean-gaussian-process|FMGP]], [[pac-bayesian-bounds|PAC-Bayesian界]], [[implicit-processes|隐式过程]], [[function-space-modeling|函数空间建模]], [[generalization-bounds|泛化界]], [[double-descent|双下降]], [[deep-gaussian-process|深度GP]], [[gaussian-process|GP]]
- UAM 博士论文，统一 Bayesian 方法 + PAC-Bayesian 理论 + 大偏差分析
- 来源: https://arxiv.org/abs/2606.13818
## [2026-06-17] ingest | Learning to Adapt: Representation-Based RL for Multi-Task Skill Transfer (arXiv:2606.12890, cs.RO 2026)
- 添加论文 [[repmt-sac]]: "RepMT-SAC" — 谱 MDP 分解 + 上游-下游两阶段学习的多任务 SAC，四旋翼跟踪 +30%
- 新增 8 个概念页: [[rep-mt-sac|RepMT-SAC]], [[spectral-mdp-decomposition|谱MDP分解]], [[task-invariant-representation|任务不变表征]], [[task-conditioned-policy|任务条件策略]], [[quadrotor-trajectory-following|四旋翼轨迹跟踪]], [[upstream-downstream-learning|上游-下游学习]], [[soft-actor-critic|SAC]], [[task-distribution|任务分布]]
- Harvard SEAS + MIT，IsaacSim 验证，零样本 ID + 少样本 OOD
- 来源: https://arxiv.org/abs/2606.12890
## [2026-06-17] ingest | Weighted Universal Approximation of Differentiable Maps on Infinite-Dimensional Manifolds (arXiv:2606.09820, math.FA 2026)
- 添加论文 [[weighted-uat-manifolds]]: "Weighted UAT" — 无限维流形上 FNN 的加权通用逼近，含导数
- 新增 8 个概念页: [[functional-input-neural-networks|FNN]], [[universal-approximation-theorem|UAT]], [[nachbin-theorem|Nachbin定理]], [[weighted-spaces|加权空间]], [[infinite-dimensional-manifolds|无限维流形]], [[bastiani-calculus|Bastiani微积分]], [[non-anticipative-functionals|非预期泛函]], [[signature|签名(Signature)]]
- 77页 math.FA 核心论文，首次将 UAT 从紧集扩展到加权非紧空间并包含导数逼近
- 来源: https://arxiv.org/abs/2606.09820
## [2026-06-17] ingest | Bellman–Taylor Score Decoding for MDPs with State-Dependent Feasible Action Sets (arXiv:2606.10979, cs.AI 2026)
- 添加论文 [[bellman-taylor-score-decoding]]: "Bellman–Taylor Score Decoding" — Taylor 展开 Q 函数将约束 MDP 映射为潜在得分 MDP，标准 DRL 直接可用
- 新增 8 个概念页: [[bellman-taylor-score-decoding|BTSD框架]], [[latent-score-mdp|潜在得分MDP]], [[state-dependent-feasible-action-sets|状态依赖可行动作集]], [[action-decoder|动作解码器]], [[post-action-configuration|后动作配置]], [[taylor-expansion-q-function|Q函数Taylor展开]], [[queueing-network-control|排队网络控制]], [[btsd-ppo|BTSD-PPO]], [[continuation-value-function|延续价值函数]]
- HKUST IEDA，排队网络控制验证，不需求导解码器，性能保证可分解为近似误差+学习误差
- 来源: https://arxiv.org/abs/2606.10979
## [2026-06-17] ingest | A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders (arXiv:2606.07007, cs.LG 2026)
- 添加论文 [[geometric-sae-concepts]]: "A Geometric View" — SAE 概念学习与神经元解释的统一几何框架，集合论 + 形式概念分析
- 新增 12 个概念页: [[sparse-autoencoder|SAE]], [[polysemanticity|多义性/单义性]], [[mechanistic-interpretability|机制可解释性]], [[formal-concept-analysis|FCA]], [[concept-learning|概念学习(几何)]], [[feature-splitting|特征分裂]], [[feature-absorption|特征吸收]], [[feature-family|特征家族]], [[absolute-gating|绝对/相对门控]], [[hyperplane-arrangements|超平面排列]], [[concept-lattice|概念格]], [[superposition|叠加]]
- UW Paul G. Allen School，区分 concept detection / separation / approximation 三层学习，建立概念格组织多对多关系
- 来源: https://arxiv.org/abs/2606.07007
## [2026-06-17] ingest | From Ticks to Flows: Dynamics of Neural RL in Continuous Environments (ICLR 2026, arXiv:2606.04275, cs.LG)
- 添加论文 [[ticks-to-flows]]: "From Ticks to Flows" — 连续时间 RL 的双时间尺度理论分析，SDE + NTK + 鞅 CLT
- 新增 12 个概念页: [[continuous-time-rl|连续时间RL]], [[stochastic-differential-equation|SDE]], [[wiener-process|维纳过程]], [[ito-calculus|Itô微积分]], [[two-time-scale-process|双时间尺度过程]], [[exploratory-dynamics|探索动力学]], [[linearized-neural-network|线性化NN]], [[infinite-width-limit|无限宽度极限]], [[neural-tangent-kernel|NTK]], [[martingale-clt|鞅CLT]], [[linear-quadratic-regulator|LQR]], [[control-affine-mdp|控制仿射MDP]]
- ICLR 2026 接收，Brown University，首次给出连续 RL 中 NN 参数梯度更新的状态分布演化方程
- 来源: https://arxiv.org/abs/2606.04275
## [2026-06-17] ingest | TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization (arXiv:2606.05859, cs.CL 2026)
- 添加论文 [[tarpo]]: "TARPO" — 纯 RL 驱动的逐 token 潜在-显式混合推理框架，自适应 hard/soft 切换
- 新增 12 个概念页: [[latent-reasoning|潜在推理]], [[coconut|COCONUT]], [[soft-token]], [[hard-token]], [[hybrid-reasoning|混合推理]], [[hrpo|HRPO]], [[token-wise-routing|逐token路由]], [[action-routing-policy|动作路由策略]], [[action-head-router|动作头路由器]], [[reparameterization-exploration|重参数化探索]], [[gumbel-softmax|Gumbel-Softmax]], [[continuous-representation|连续表征]]
- 来自南开大学 TMCC，Qwen2.5 (1.5B-7B) 和 Llama-3.1-8B 验证
- 来源: https://arxiv.org/abs/2606.05859
## [2026-06-16] ingest | Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches (TMLR, 2026 OpenReview: SXgGKkShhT)
- 添加论文 [[advances-temporal-point-processes-2026]]: "Advances in Temporal Point Processes" — TPP 综述，首篇同时覆盖 Bayesian/Neural/LLM 三大范式
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, [[lifecycle-orchestration]], [[observability]], [[verification-evaluation]], [[governance-security]], [[cost-quality-speed-trilemma]], [[capability-control-tradeoff]], [[harness-coupling-problem]], [[binding-constraint-thesis]], [[prompt-to-harness-evolution]], [[trace-native-evaluation]], [[standard-agent-handoffs]], [[adaptive-harness-simplification]], [[hardening-execution-environments]], [[reliable-state-long-running-agents]], [[context-state-estimation]], [[agent-frameworks-to-platforms]]
- 来源: 用户上传 PDF（用户 o9cq80wQvcn_qxHaHlEso2Bn3qoU@im.wechat）