20260720

index.md

@@ -1,7 +1,7 @@
 # LLM Wiki
 
 > 知识索引页面 — 自动生成
-> 最后更新：2026-07-04 | 总页面数：1419
+> 最后更新：2026-07-13 | 总页面数：1492
 
 ## Concepts
 
@@ -14,6 +14,7 @@
 - [[action-consequence-prediction]] — 预测行动后果 (Action Consequence Prediction)
 - [[action-decoder]] — 动作解码器 (Action Decoder)
 - [[action-head-router]] — 动作头路由器 (Action Head Router)
+- [[action-interface]] — 行动接口 (Action Interface, I_act)
 - [[action-realization-layer]] — Action Realization Layer（动作实现层）
 - [[action-routing-policy]] — 动作路由策略 (Action-Routing Policy)
 - [[activation-manifold]] — Activation Manifold
@@ -25,6 +26,7 @@
 - [[adaptive-adversary]] — 自适应对手 (Adaptive Adversary)
 - [[adaptive-computation-time]] — Adaptive Computation Time (ACT)
 - [[adaptive-harness-simplification]] — Adaptive Harness Simplification（自适应 Harness 简化）
+- [[adaptive-threshold-estimation]] — Adaptive Threshold Estimation (自适应阈值估计)
 - [[additive-combinatorics]] — Additive Combinatorics（加法组合学）
 - [[additive-semantics]] — 加性语义 (Additive Semantics)
 - [[adkv]] — AdaKV
@@ -52,6 +54,7 @@
 - [[agent-memory-system]] — Agent 记忆系统
 - [[agent-memory-taxonomy]] — Agent Memory Taxonomy (三索引分型)
 - [[agent-multidimensional-capability]] — Agent Multidimensional Capability（Agent 多维能力）
+- [[agent-native-training]] — Agent 原生训练 (Agent-Native Training)
 - [[agent-network-memory-scope]] — Agent网络记忆范围
 - [[agent-network-taxonomy]] — Agent网络三层分类法
 - [[agent-network-topology]] — Agent网络拓扑
@@ -71,6 +74,7 @@
 - [[agent-web]] — Agent Web — 开放协作智能体网络
 - [[agent-workspace-filesystem]] — Agent 工作空间文件系统 (Agent Workspace Filesystem)
 - [[agentic-cache-manager]] — Agentic Cache Manager
+- [[agentic-evaluation]] — Agent 评估 (Agentic Evaluation)
 - [[agentic-quality-judge]] — Agent 质量判断器（Agentic Quality Judge）
 - [[agentic-rag]] — Agentic RAG
 - [[agentic-streaming-inference]] — Agentic Streaming Inference
@@ -136,6 +140,7 @@
 - [[bellman-taylor-score-decoding]] — Bellman-Taylor 得分解码 (BTSD)
 - [[bidirectional-trajectory-evaluation]] — 双向轨迹评估 (Bidirectional Trajectory Evaluation)
 - [[binding-constraint-thesis]] — Binding-Constraint Thesis（约束瓶颈论）
+- [[blessing-of-dimensionality]] — Blessing of Dimensionality (维度之福)
 - [[blind-prompting]] — Blind Prompting（盲提示）
 - [[block-causal-attention]] — Block-Causal Attention
 - [[block-sparse-attention]] — Block-Sparse Attention Mask (分块稀疏注意力掩码)
@@ -197,6 +202,7 @@
 - [[computerized-adaptive-testing]] — Computerized Adaptive Testing (CAT)
 - [[concept-lattice]] — 概念格 (Concept Lattice)
 - [[concept-learning]] — 概念学习：几何视角 (Concept Learning: Geometric View)
+- [[concept-point-cloud-manifold]] — Concept Point-Cloud Manifold (概念点云流形)
 - [[conditional-intensity-function]] — 条件强度函数 (Conditional Intensity Function)
 - [[conditional-memory]] — Conditional Memory
 - [[conditional-model-dispatcher]] — Conditional Model Dispatcher
@@ -219,10 +225,12 @@
 - [[context-failure-modes]] — Context Failure Modes（上下文故障模式）
 - [[context-learning]] — 上下文学习 (Context Learning)
 - [[context-management]] — Context Management（上下文管理）
+- [[context-manager]] — 上下文管理器 (Context Manager, C)
 - [[context-misuse]] — 上下文误用 (Context Misuse)
 - [[context-prefetch-vs-agentic]] — 上下文预取 vs 按需加载（Context Prefetch vs Agentic）
 - [[context-pruning]] — Context Pruning (上下文剪枝)
 - [[context-state-estimation]] — Context as State Estimation（上下文作为状态估计）
+- [[contextual-transformation-field]] — Contextual Transformation Field (上下文变换场)
 - [[continual-learning]] — 持续学习 (Continual Learning)
 - [[continuation-value-function]] — 延续价值函数 (Continuation Value Function)
 - [[continuous-diffusion-language-models]] — Continuous Diffusion Language Models
@@ -233,6 +241,7 @@
 - [[contrastive-learning]] — 对比学习 (Contrastive Learning)
 - [[control-affine-mdp]] — 控制仿射 MDP (Control-Affine MDP)
 - [[control-barrier-function]] — Control Barrier Function（控制屏障函数）
+- [[control-loop]] — 控制循环 (Control Loop, L)
 - [[controlled-autonomy]] — Controlled Autonomy (受控的自主性)
 - [[controlled-text-generation]] — Controlled Text Generation
 - [[convex-hull-relaxation]] — Convex-Hull Relaxation (KV Cache)
@@ -249,14 +258,18 @@
 - [[critical-failures]] — Critical Failures / 关键失败
 - [[critpt]] — CritPt (Critical Point Benchmark)
 - [[cross-head-budget-allocation]] — Cross-Head Budget Allocation
+- [[cross-layer-interaction]] — 脚手架跨层交互 (Cross-Layer Interactions)
 - [[cross-mode-collision]] — Cross-Mode Collision
+- [[cross-model-concept-geometry]] — Cross-Model Concept Geometry (跨模型概念几何)
 - [[cross-model-harness-transfer]] — Cross-Model Harness Transfer（跨模型 Harness 迁移）
 - [[cross-section-synthesis]] — Cross-Section Synthesis — Information Integration Across Document Parts
 - [[crown-verifier]] — CROWN Verifier
+- [[curvature-based-adaptive-sampling]] — Curvature-Based Adaptive Sampling (CuBAS, 曲率自适应采样)
 - [[curvine-distributed-cache]] — Curvine 云原生分布式缓存
 - [[dag-reasoning-evaluation]] — DAG-based Reasoning Evaluation
 - [[darwin-godel-machine]] — Darwin Gödel Machine (达尔文·哥德尔机)
 - [[data-augmentation]] — 数据增强 (Data Augmentation)
+- [[data-driven-task-specification]] — 数据驱动任务规约 (Data-Driven Task Specification)
 - [[data-hierarchical-governance]] — Data Hierarchical Governance (L0-L4 数据分级治理)
 - [[data-label-consistency]] — Data-Label Consistency (数据-标签一致性)
 - [[data-markets]] — 数据市场（Data Markets）
@@ -296,9 +309,11 @@
 - [[diagonal-ramsey-number]] — Diagonal Ramsey Number（对角拉姆齐数）
 - [[diagonalization-method]] — 对角线方法 (Diagonalization Method)
 - [[differentiable-token-budgeting]] — Differentiable Token Budgeting
+- [[diffusion-as-feature-extractor]] — 扩散特征提取 (Diffusion as Feature Extractor)
 - [[diffusion-based-tpp]] — 扩散时间点过程 (Diffusion-based TPP)
 - [[diffusion-transformer]] — Diffusion Transformer (DiT)
 - [[dime-dynamic-in-database-modeling-engine]] — DIME (Dynamic In-Database Modeling Engine)
+- [[directional-uncertainty-decomposition]] — Directional Uncertainty Decomposition (方向不确定性分解)
 - [[discrete-diffusion-language-models]] — discrete-diffusion-language-models
 - [[distractor-context]] — Distractor Context / 干扰上下文
 - [[distributed-cache-routing]] — Distributed Cache Routing (分布式缓存路由)
@@ -334,6 +349,7 @@
 - [[e-values]] — E-values（证据值）
 - [[Eagle3]] — Eagle3
 - [[edge-of-stability]] — Edge of Stability (EoS)
+- [[ehresmann-connection-filtering]] — Ehresmann Connection Filtering (Ehresmann 联络过滤)
 - [[ellipsis-prompt]] — 省略号提示 (Ellipsis Prompt)
 - [[eluder-dimension]] — Eluder 维度 (Eluder Dimension)
 - [[embedded-language-flows]] — Embedded Language Flows (ELF)
@@ -349,6 +365,7 @@
 - [[engram]] — Engram (Conditional Memory Module)
 - [[enhanced-state-space-models]] — 增强状态空间模型 (Enhanced State-Space Models)
 - [[ensemble-based-rewards]] — 集成奖励 (Ensemble-Based Rewards)
+- [[entropy-deficit]] — Entropy Deficit (熵赤字)
 - [[environment-contract-layer]] — Environment Contract Layer（环境契约层）
 - [[epistemic-uncertainty]] — 认知不确定性 (Epistemic Uncertainty)
 - [[epoch-based-optimistic-mle]] — Epoch-based 乐观 MLE (Epoch-based Optimistic MLE)
@@ -375,6 +392,7 @@
 - [[feature-absorption]] — 特征吸收 (Feature Absorption)
 - [[feature-family]] — 特征家族 (Feature Family)
 - [[feature-splitting]] — 特征分裂 (Feature Splitting)
+- [[feed-forward-diffusion]] — 前馈扩散 (Feed-Forward Diffusion)
 - [[feedforward-depth-limitation]] — 前馈深度局限 (Feedforward Depth Limitation)
 - [[few-shot-learning]] — Few-Shot Learning (少样本学习)
 - [[fiber-of-parametrization]] — 参数化纤维 (Fiber of Parametrization)
@@ -403,6 +421,7 @@
 - [[forward-authentication]] — 外部认证委托 (Forward Authentication)
 - [[forward-repair-ladder]] — Forward-Repair Ladder
 - [[foundation-model-frontier-bias]] — 基础模型前沿偏倚（Foundation Model Frontier Bias）
+- [[four-paradigms-agent-engineering]] — Agent 工程四范式 (Four Paradigms of Agent Engineering)
 - [[fourier-filter-dynamics]] — Fourier Filter for Dynamics（Fourier Filter 动力学分解）
 - [[fp4-quantization-training]] — FP4 Quantization-Aware Training
 - [[freetimegs]] — FreeTimeGS
@@ -430,6 +449,7 @@
 - [[generative-reconstruction-latent]] — Generative Reconstruction (Latent)
 - [[genetic-programming]] — Genetic Programming (遗传编程)
 - [[geometric-compression-latent]] — Geometric Compression (Latent CoT)
+- [[geometric-information-decomposition]] — Geometric Information Decomposition (GID, 几何信息分解)
 - [[geometric-ramsey-theory]] — Geometric Ramsey Theory（几何拉姆齐理论）
 - [[georg-cantor]] — 格奥尔格·康托尔 (Georg Cantor)
 - [[gflownet-fine-tuning]] — GFlowNet 微调
@@ -469,6 +489,8 @@
 - [[harness-engineering]] — Harness Engineering
 - [[harness-evolution]] — Harness Evolution（轨迹驱动的 Harness 进化）
 - [[harness-model-interaction]] — Harness × Model 交互效应
+- [[harness-six-components]] — 脚手架六组件模型 (Harness Six Components)
+- [[harness-task-mapping]] — 脚手架-任务映射 (Harness-Task Mapping)
 - [[harnessaudit]] — HarnessAudit
 - [[hars]] — HARS（调和适应保留评分）
 - [[hawkes-process]] — Hawkes 过程 (Hawkes Process)
@@ -514,6 +536,7 @@
 - [[infinity-hierarchy]] — 无穷层级体系 (Infinity Hierarchy)
 - [[information-cocoons]] — 信息茧房（Information Cocoons）
 - [[information-flow-control]] — Information Flow Control
+- [[information-gap]] — Information Gap (信息缺口)
 - [[information-geometry]] — 信息几何 (Information Geometry)
 - [[information-leakage-vla]] — Information Leakage in VLA
 - [[information-performance-binding]] — Information-Performance Binding
@@ -590,6 +613,8 @@
 - [[leakage-free-state-prediction]] — Leakage-Free State Prediction
 - [[lean-imo-bench]] — Lean-IMO-Bench
 - [[lean-proof-assistant]] — Lean 证明助手（Lean Proof Assistant）
+- [[learnable-harness]] — 可学习脚手架 (Learnable Harness)
+- [[learnable-tokens-sparse]] — 可学习Token稀疏预测 (Learnable Tokens for Sparse Prediction)
 - [[length-extrapolation]] — 长度外推 (Length Extrapolation)
 - [[leopold-kronecker]] — 利奥波德·克罗内克尔 (Leopold Kronecker)
 - [[leworldmodel]] — LeWorldModel
@@ -629,6 +654,7 @@
 - [[lost-in-the-middle]] — Lost in the Middle
 - [[lottery-ticket-hypothesis]] — Lottery Ticket Hypothesis: 稀疏子网络的彩票假说
 - [[lovasz-local-lemma]] — Lovász Local Lemma
+- [[low-curvature-high-curvature-decomposition]] — Low/High Curvature Decomposition (低/高曲率分解)
 - [[low-rank-decomposition]] — Low-Rank Decomposition: 神经网络低秩压缩
 - [[lucas-penrose-argument]] — 卢卡斯-彭罗斯论证 (Lucas-Penrose Argument)
 - [[lukv]] — LU-KV (Long-horizon Utility KV)
@@ -649,6 +675,8 @@
 - [[mathematical-pluralism]] — 数学多元主义 (Mathematical Pluralism)
 - [[mathematical-priority-disputes]] — 数学优先权争议
 - [[mathforge]] — MathForge 框架
+- [[maximum-entropy-projection]] — Maximum Entropy Projection (最大熵投影)
+- [[maximum-pseudo-likelihood]] — Maximum Pseudo-Likelihood (MPL, 最大伪似然)
 - [[maze-navigation]] — 迷宫导航 (Maze Navigation)
 - [[mc-dropout]] — MC Dropout (Monte Carlo Dropout)
 - [[mcp]] — MCP (Model Context Protocol)
@@ -692,6 +720,8 @@
 - [[model-collapse-step]] — 模型崩溃步 (Model Collapse Step, MCS)
 - [[model-driven-vs-app-driven-memory]] — 模型驱动 vs 应用驱动记忆
 - [[model-free-rl]] — Model-Free 强化学习 (Model-Free RL)
+- [[model-harness-coevolution]] — 模型-脚手架协同演化 (Model-Harness Co-Evolution)
+- [[model-harness-lens]] — 模型-脚手架透镜 (Model-Harness Lens)
 - [[model-harness-relationship]] — Model-Harness Relationship (模型与Harness关系)
 - [[model-proposes-harness-executes]] — Model Proposes, Harness Executes
 - [[model-steering]] — Model Steering
@@ -709,6 +739,7 @@
 - [[multi-head-attention]] — Multi-Head Attention (MHA)
 - [[multi-head-latent-attention]] — Multi-head Latent Attention (MLA)
 - [[multi-hot-cross-entropy]] — Multi-hot Cross-Entropy (MCE)
+- [[multi-model-harness]] — 多模型脚手架 (Multi-Model Harness)
 - [[multi-model-routing]] — 多模型路由（Multi-Model Routing）
 - [[multi-query-attention]] — Multi-Query Attention (MQA)
 - [[multi-solution-recovery]] — Multi-Solution Recovery（多解恢复）
@@ -750,6 +781,8 @@
 - [[objective-interference-collapse]] — Objective Interference Collapse (目标干扰坍缩)
 - [[observability]] — Observability & Operations（可观测性与运维）
 - [[observable-operator-model]] — 可观测算子模型 (Observable Operator Model, OOM)
+- [[observation-interface]] — 观测接口 (Observation Interface, I_obs)
+- [[observed-fisher-information]] — Observed Fisher Information (观测 Fisher 信息)
 - [[off-policy-llm-post-training]] — Off-Policy LLM 后训练
 - [[offline-profiling]] — Offline Profiling (LU-KV)
 - [[omnidocbench]] — OmniDocBench
@@ -766,7 +799,9 @@
 - [[optimality-gap]] — Optimality Gap
 - [[oracle-importance]] — Oracle Importance
 - [[order-bias-removal]] — Order Bias Removal
+- [[orlicz-statistical-manifold]] — Orlicz Statistical Manifold (Orlicz 统计流形)
 - [[osworld-mcp]] — OSWorld-MCP Benchmark
+- [[outcome-first-prompting]] — 结果优先提示 (Outcome-First Prompting)
 - [[output-aware-metric]] — Output-Aware Metric (OAM)
 - [[overthinking]] — 过度思考 (Overthinking)
 - [[pac-bayesian-bounds]] — PAC-Bayesian 泛化界 (PAC-Bayesian Bounds)
@@ -808,6 +843,7 @@
 - [[post-train-space-rl]] — Post-train Space Reinforcement Learning
 - [[posterior-linearization-filter]] — 后验线性化滤波
 - [[posterior-lipschitz-adversary]] — 后验李普希茨对手 (Posterior-Lipschitz Adversary)
+- [[potts-markov-random-field]] — Potts Markov Random Field (Potts MRF)
 - [[practitioner-research-gap]] — Practitioner-Research Gap（从业者-研究鸿沟）
 - [[pre-activation-history]] — Pre-Activation History
 - [[pre-hoc-reasoning-rl]] — 前置推理 RL (Pre-Hoc Reasoning RL)
@@ -840,7 +876,10 @@
 - [[prompt-engineering]] — Prompt Engineering（提示词工程）
 - [[prompt-engineering-vs-fine-tuning]] — 提示词工程 vs 微调
 - [[prompt-layering]] — Prompt Layering（提示分层）
+- [[prompt-migration-workflow]] — Prompt 迁移工作流 (Prompt Migration Workflow)
 - [[prompt-reverse-engineering]] — 图片反推 Prompt (Prompt Reverse Engineering)
+- [[prompt-simplification]] — Prompt 做减法 (Prompt Simplification)
+- [[prompt-structure-framework]] — Prompt 结构框架 (Prompt Structure Framework)
 - [[prompt-to-harness-evolution]] — Prompt-to-Harness Evolution（三阶段工程演进）
 - [[prope]] — PRoPE (Projective Rotary Position Encoding)
 - [[prospective-memory-index]] — Prospective Memory Index (前瞻记忆索引)
@@ -852,6 +891,7 @@
 - [[pyramidkv]] — PyramidKV
 - [[qlora]] — QLoRA (量化低秩适配)
 - [[quadrotor-trajectory-following]] — 四旋翼轨迹跟踪 (Quadrotor Trajectory Following)
+- [[quarantining-theorem]] — Quarantining Theorem (隔离定理)
 - [[query-intent-analyzer]] — Query Intent Analyzer
 - [[question-quality-vs-quantity]] — Question Quality vs. Quantity（问题质量 vs 数量）
 - [[queueing-network-control]] — 排队网络控制 (Queueing Network Control)
@@ -872,6 +912,7 @@
 - [[real-life-context-learning]] — 真实生活上下文学习 (Real-Life Context Learning)
 - [[real-log-canonical-threshold]] — 实对数典范阈值 (Real Log Canonical Threshold, RLCT)
 - [[real-world-rl]] — Real-World RL（真机强化学习）
+- [[reasoning-effort-tuning]] — 推理强度调优 (Reasoning Effort Tuning)
 - [[reasoning-quality-optimization]] — Reasoning Quality Optimization
 - [[reco-result-cache]] — Recommendation Result Cache (Reco Result Cache)
 - [[recommendation-cot]] — 推荐思维链 (Recommendation CoT)
@@ -921,6 +962,7 @@
 - [[rolling-kv-cache]] — 滚动 KV 缓存 (Rolling KV Cache)
 - [[rollout-drift]] — Rollout Drift (推演漂移)
 - [[rotary-position-embedding]] — 旋转位置编码 (RoPE)
+- [[rothko-raymap]] — Rothko Raymap
 - [[rough-path-theory]] — 粗糙路径理论 (Rough Path Theory)
 - [[round-trip-reconstruction-score]] — Round-Trip Reconstruction Score (RS@k)
 - [[rspo]] — RSPO (Ranking-Guided Softmax Preference Optimization)
@@ -981,12 +1023,14 @@
 - [[sft-early-stopping]] — SFT 早停策略 (SFT Early Stopping)
 - [[sglang]] — SGLang
 - [[shadow-calling]] — Shadow Calling (影子调用)
+- [[shape-operator]] — Shape Operator (形状算子)
 - [[shapley-values]] — Shapley 值 (Shapley Values)
 - [[shared-parameter-influence]] — Shared Parameter Influence
 - [[shared-weight-discretization]] — Shared-Weight Discretization
 - [[sharpness]] — Sharpness (锐度)
 - [[signature]] — 签名 (Signature of Paths)
 - [[sigreg]] — SIGReg (Sketch Isotropic Gaussian Regularization)
+- [[sim-to-real-transfer-vision]] — Sim-to-Real 视觉迁移 (Sim-to-Real Transfer in Vision)
 - [[singular-learning-theory]] — 奇异学习理论 (Singular Learning Theory)
 - [[singularity]] — Singularity (奇点)
 - [[sink-token]] — 汇 Token (Sink Token)
@@ -1005,6 +1049,8 @@
 - [[skill-selection]] — Skill 选择 — 上下文/组合/效用/反馈
 - [[skillopt]] — SkillOpt
 - [[slow-meta-update]] — Slow/Meta Update (慢/元更新)
+- [[smg-fiber-bundle]] — SMG Fiber Bundle (SMG 纤维丛)
+- [[smg-sequential-adaptation-flow]] — SMG Sequential Adaptation Flow (SMG 序列适应流)
 - [[snapkv]] — SnapKV
 - [[social-capital-framework]] — Social Capital Framework (AI Bias)
 - [[social-video]] — Social Video
@@ -1027,6 +1073,7 @@
 - [[specialized-sft]] — 专项监督微调 (Specialized SFT)
 - [[spectral-mdp-decomposition]] — 谱 MDP 分解 (Spectral MDP Decomposition)
 - [[speculative-decoding]] — Speculative Decoding
+- [[spherical-harmonic-features]] — Spherical Harmonic Features (球谐特征)
 - [[spiking-neural-networks]] — Spiking Neural Networks (SNN)
 - [[spiral-of-silence]] — 沉默的螺旋（Spiral of Silence）
 - [[split-steering]] — SPLIT Steering
@@ -1034,11 +1081,14 @@
 - [[ssd-algorithm]] — SSD 算法 (Structured State Space Duality Algorithm)
 - [[stage-matched-data-config]] — Stage-Matched Data Configuration (分阶段数据配置)
 - [[standard-agent-handoffs]] — Standard Agent Handoffs（标准化 Agent 交接）
+- [[state-artifact-store]] — 状态与产物存储 (State and Artifact Store, S)
 - [[state-dependent-feasible-action-sets]] — 状态依赖可行动作集 (State-Dependent Feasible Action Sets)
 - [[state-space-models]] — 状态空间模型 (State-Space Models)
 - [[state-tracking]] — 状态追踪 (State Tracking)
 - [[statistical-contract-theory]] — 统计合同理论（Statistical Contract Theory）
 - [[statistical-manifold]] — Statistical Manifold (统计流形)
+- [[statistically-meaningful-geometry]] — Statistically Meaningful Geometry (SMG, 统计意义几何)
+- [[statistically-verifiable-directions]] — Statistically Verifiable Directions (SVDχ, 统计可验证方向)
 - [[staug]] — STAug (EMD-based Augmentation)
 - [[steering-dynamics]] — Steering Dynamics
 - [[steering-vector]] — Steering Vector
@@ -1047,10 +1097,12 @@
 - [[step-recurrence]] — 步级循环 (Step Recurrence)
 - [[stochastic-differential-equation]] — 随机微分方程 (Stochastic Differential Equation)
 - [[stochastic-latent-trajectory]] — Stochastic Latent Trajectory（随机潜在轨迹）
+- [[stopping-conditions-prompt]] — 停止条件 (Stopping Conditions in Prompts)
 - [[strategy-engineering-unification]] — Strategy-Engineering Unification (策略与工程统一)
 - [[strategy-gene]] — 策略基因 (Strategy Gene)
 - [[streaming-generation]] — Streaming Generation
 - [[streaming-inference]] — Streaming Inference
+- [[structural-internal-directions]] — Structural Internal Directions (SID, 结构内部方向)
 - [[structured-knowledge]] — 结构化知识 (Structured Knowledge)
 - [[structured-masked-attention]] — 结构化掩码注意力 (Structured Masked Attention)
 - [[structured-output]] — 结构化输出 (Structured Output)
@@ -1103,6 +1155,7 @@
 - [[thinking-supervision-transfer]] — Thinking Supervision Transfer
 - [[thompson-sampling-code-search]] — Thompson Sampling Code Search
 - [[three-engineering-phases]] — Three Engineering Phases（三阶段工程演进）
+- [[three-imperatives-vision]] — 通用视觉预训练三条件 (Three Imperatives for Generalist Vision Pre-training)
 - [[three-stage-curriculum-training]] — 三阶段课程训练 (Three-Stage Curriculum Training)
 - [[throughput-hypothesis]] — Throughput Hypothesis (吞吐量假说)
 - [[time-aware-query-expansion]] — Time-Aware Query Expansion
@@ -1119,6 +1172,7 @@
 - [[token-shift]] — Token Shift
 - [[token-superposition-training]] — Token Superposition Training (TST)
 - [[token-wise-routing]] — 逐Token路由 (Token-Wise Routing)
+- [[tool-authorization-boundaries]] — 工具授权边界 (Tool Authorization Boundaries)
 - [[tool-bootstrapped-rft]] — Tool-Bootstrapped GUI RFT
 - [[tool-efficient-path-reward]] — Tool-Efficient Path Reward
 - [[tool-interface]] — Tool Interface & Protocol Layer（工具接口与协议层）
@@ -1135,6 +1189,7 @@
 - [[trajectory-synthesis]] — 轨迹合成 — Trajectory Synthesis
 - [[transfer-learning]] — Transfer Learning (迁移学习)
 - [[trm-preference-dataset]] — TRM-Preference Dataset
+- [[two-fold-inference-paradigm]] — Two-Fold Inference Paradigm (双折推断范式)
 - [[two-phase-pretraining]] — Two-Phase Pre-Training
 - [[two-time-scale-process]] — 双时间尺度过程 (Two Time-Scale Process)
 - [[type-safety-in-agents]] — Agent 类型安全 (Type Safety in Agents)
@@ -1150,6 +1205,7 @@
 - [[unconditional-generation-latent]] — Unconditional Generation via Latent Reasoning
 - [[unified-latent-probe]] — Unified Latent Probe (ULP)
 - [[unified-rft]] — 统一拒绝采样微调 (Unified RFT)
+- [[unified-task-representation]] — 统一任务表示 (Unified Task Representation)
 - [[unified-vsl-rspo]] — Unified VSL-RSPO Learning
 - [[universal-approximation-theorem]] — 通用逼近定理 (Universal Approximation Theorem)
 - [[unlimited-ocr]] — Unlimited OCR 模型
@@ -1166,13 +1222,16 @@
 - [[variational-linearized-laplace-approximation]] — 变分线性化 Laplace 近似 (VaLLA)
 - [[vector-valued-gating]] — Vector-Valued Gating
 - [[verbatim-pre-recall]] — Verbatim Pre-Recall
+- [[verification-before-delivery]] — 交付前验证 (Verification Before Delivery)
 - [[verification-evaluation]] — Verification & Evaluation（验证与评估）
+- [[verification-governance]] — 验证与治理 (Verification and Governance, V)
 - [[verification-guided-proof-search]] — 验证引导证明搜索（Verification-Guided Proof Search）
 - [[verification-horizon]] — 验证边界（Verification Horizon）
 - [[verification-trilemma]] — 验证三难（Verification Trilemma）
 - [[verifier-generator-coevolution]] — 验证器-生成器协同进化（Verifier-Generator Co-evolution）
 - [[vertical-llm-knowledge-engineering]] — 垂域 LLM 知识工程 (Vertical LLM Knowledge Engineering)
 - [[vicreg]] — VICReg (Variance-Invariance-Covariance Regularization)
+- [[video-generation-pretraining]] — 视频生成预训练 (Video Generation Pre-training)
 - [[visibility-constraint]] — Visibility Constraint (可见性约束)
 - [[vision-language-models]] — Vision-Language Models (VLM)
 - [[visual-primitives]] — 视觉原语 (Visual Primitives)
@@ -1190,6 +1249,7 @@
 - [[wiener-process]] — 维纳过程 (Wiener Process)
 - [[wikilinks]] — Wikilinks
 - [[window-attention]] — 窗口注意力 (Window Attention)
+- [[within-concept-between-concept-axes]] — Within-Concept / Between-Concept Axes (概念内/间轴)
 - [[wkv-time-mixing]] — WKV Time Mixing
 - [[workspace-first-architecture]] — Workspace-first 架构
 - [[world-model-lecun]] — LeCun 世界模型理论
@@ -1205,6 +1265,7 @@
 - [[advances-temporal-point-processes-2026]] — Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches
 - [[agarwal-bayesian-attention-geometry]] — The Bayesian Geometry of Transformer Attention
 - [[agent-harness-engineering-survey]] — Agent Harness Engineering: A Survey
+- [[agent-harness-survey-2026]] — Agent Harness Survey — From QA to Task Completion (2026)
 - [[arbor-htr-2026]] — Arbor: Hypothesis-Tree Refinement (Jin et al., RUC/MSR, 2026)
 - [[bartoldson-tba-2025]] — TBA: 异步轨迹平衡 — 解耦探索与学习以实现快速可扩展的 LLM 后训练
 - [[behrouz-memory-caching-rnn]] — Memory Caching: RNNs with Growing Memory
@@ -1212,6 +1273,7 @@
 - [[chen-token-economics-llm-agents]] — Token Economics for LLM Agents
 - [[claw-swe-bench]] — Claw-SWE-Bench: OpenClaw 风格 Agent Harness 的代码任务基准评测
 - [[clawless-ai-agent-security]] — ClawLess: AI 代理安全模型
+- [[cubas-curvature-adaptive-sampling-2026]] — CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Cl
 - [[dai-mathforge-2026]] — MathForge: Harder Is Better — 难度感知GRPO与多维度问题改写
 - [[dao-transformers-are-ssms-2024]] — Transformers are SSMs: Generalized Models and Efficient Algorithms Through Struc
 - [[darlow-ctm-2025]] — Continuous Thought Machines (CTM)
@@ -1226,7 +1288,9 @@
 - [[gan-bifurcation-eos]] — A Bifurcation Theory Framework for Gradient Descent on the Edge of Stability
 - [[gan-thinking-based-non-thinking-2026]] — Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybr
 - [[gaurav-dynamic-react-2025]] — Dynamic ReAct：大规模 MCP 工具选择
+- [[genception-video-vision-2026]] — GenCeption — Video Generation as General-Purpose Vision Pre-training (ECCV 2026)
 - [[geometric-sae-concepts]] — A Geometric View for Understanding Concept Learning and Neuron Interpretation in
+- [[gid-sphere-2026]] — Geometric Information Decomposition for Weighted Empirical Measures on the Spher
 - [[godel-incompleteness-tutorial]] — 哥德尔不完备定理教程
 - [[goru-one-pass-to-reason-2025]] — One-Pass to Reason: 多轮推理的高效单遍微调
 - [[GR4AD]] — GR4AD: Generative Recommendation for Large-Scale Advertising
@@ -1275,6 +1339,8 @@
 - [[safe-equilibrium-exploration]] — Safe Equilibrium Exploration: On the Equilibrium between Feasible Zone and Uncer
 - [[semantic-robustness-certification-vlm-2026]] — Semantic Robustness Certification for Vision-Language Models
 - [[sen-mapping-networks]] — Mapping Networks: Latent-Vector-Driven Parameter Generation with Manifold Guaran
+- [[shared-concept-geometry-2026]] — Language Models Represent and Transform Concepts with Shared Geometry
+- [[smg-framework-2026]] — Statistically Meaningful Geometry (SMG) Beyond the Euclidean Paradigm
 - [[song-agent-network-taxonomy]] — Complex networks of AI agentic systems: 拓扑-记忆-更新三层分类法
 - [[streaming-llm]] — StreamingLLM: 基于注意力汇的高效流式语言模型
 - [[tang-lukv]] — LU-KV: Predicting Future Utility for KV Cache Eviction
@@ -1324,6 +1390,7 @@
 - [[michael-jordan-mlst-collectivist-ai-2026]] — Michael I. Jordan：AI 的集体主义经济学与虚假的 AGI 二元论
 - [[mini-agent-harness]] — 从零搭建 Mini Agent Harness
 - [[nobrega-ai-production-tradeoffs-2026]] — AI 工程师的 6 种生产权衡
+- [[openai-gpt5p6-prompt-guide-2026]] — OpenAI GPT-5.6 官方 Prompt 指南 (Datawhale 解读)
 - [[oppo-multimodal-data-lake]] — OPPO 多模态数据湖架构实践
 - [[prompt-caching-architecture]] — Prompt Caching 架构工程手册
 - [[prompt-to-loop-engineering-2026]] — AI 开发范式演进：从 Prompt Engineering 到 Loop Engineering
@@ -1348,6 +1415,7 @@
 - [[ace-router-review-20260619]] — ACE-Router Review
 - [[advances-temporal-point-processes-review-20260616]] — Review: Advances in Temporal Point Processes
 - [[agent-harness-engineering-review-20260523]] — Review: Agent Harness Engineering Survey
+- [[agent-harness-survey-review-20260713]] — Agent Harness Survey Review
 - [[agent-network-taxonomy-review-20260501]] — agent-network-taxonomy-review-20260501
 - [[agent-skills-survey-review-20260619]] — Agent Skills Survey Review
 - [[arbor-htr-20260624]] — Review: Arbor — Autonomous Research via Hypothesis-Tree Refinement
@@ -1359,6 +1427,7 @@
 - [[claw-swe-bench-review-20260615]] — Claw-SWE-Bench 论文集成 Review
 - [[clawless-review-20260422]] — ClawLess: AI 代理安全模型 - Review 报告
 - [[ctm-review-20260515]] — Continuous Thought Machines 论文集成 Review
+- [[CuBAS-review-20260710]] — CuBAS Review — 信息几何曲率自适应采样
 - [[dao-transformers-are-ssms-review-20260618]] — Review: Transformers are SSMs (Mamba-2)
 - [[dcgwm-2026-06-23]] — Review: DCGWM — 结构防止目标干扰坍缩的双通道接地世界建模
 - [[dead-directions-20260610]] — Review: Dead Directions — Geometric Singular Learning
@@ -1372,7 +1441,9 @@
 - [[flex4dhuman-review-20260613]] — Review: Flex4DHuman — 无几何先验的多视角视频扩散
 - [[gan-bifurcation-eos-20260623]] — Review: Gan Bifurcation EoS
 - [[gan-tnt-review-20260618]] — Review: Thinking-Based Non-Thinking (TNT)
+- [[genception-review-20260713]] — GenCeption Review
 - [[geometric-sae-review-20260617]] — Geometric SAE 论文集成 Review
+- [[GID-review-20260710]] — GID Review — 球面加权测度的几何信息分解
 - [[godel-tutorial-review-20260428]] — 哥德尔不完备定理教程 — Review 报告
 - [[GR4AD-review-20260628]] — Review: GR4AD — Generative Recommendation for Large-Scale Advertising
 - [[hyperagents-review-20260420]] — 📚 Wiki 添加 Review 报告 - Hyperagents 论文
@@ -1420,7 +1491,9 @@
 - [[rwkv7-review-20260618]] — Review: RWKV-7 Goose — Expressive Dynamic State Evolution
 - [[safe-equilibrium-exploration-review-20260629]] — Safe Equilibrium Exploration — Review
 - [[sen-mapping-networks-2026-06-25]] — Review: Mapping Networks
+- [[SharedConceptGeometry-review-20260710]] — Shared Concept Geometry Review — LLM 概念表示与变换的共享几何
 - [[skills-to-genes-review-20260614]] — Skills to Strategy Genes — Review 报告
+- [[SMG-review-20260710]] — SMG Review — 统计意义几何：超越欧几里得范式
 - [[stem-causal-sparse-attention-review-20260605]] — Stem: Rethinking Causal Information Flow in Sparse Attention — Review
 - [[streaming-llm-review-20260514]] — Review: StreamingLLM — 基于注意力汇的无限长流式语言模型
 - [[tapered-language-models-review-20260629]] — Tapered Language Models — Review