20260706:新增一些文章

index.md

@@ -1,7 +1,7 @@
 # LLM Wiki
 
 > 知识索引页面 — 自动生成
-> 最后更新：2026-06-25 | 总页面数：1249
+> 最后更新：2026-07-04 | 总页面数：1419
 
 ## Concepts
 
@@ -26,7 +26,10 @@
 - [[adaptive-computation-time]] — Adaptive Computation Time (ACT)
 - [[adaptive-harness-simplification]] — Adaptive Harness Simplification（自适应 Harness 简化）
 - [[additive-combinatorics]] — Additive Combinatorics（加法组合学）
+- [[additive-semantics]] — 加性语义 (Additive Semantics)
 - [[adkv]] — AdaKV
+- [[adversarial-robustness]] — 对抗鲁棒性 (Adversarial Robustness)
+- [[agent-boundary-design]] — Agent 边界设计（Boundary Design）
 - [[agent-capability-stability-gap]] — Agent Capability-Stability Gap（能力-稳定性差距）
 - [[agent-communication-stack]] — Agent通信协议栈
 - [[agent-completion-evaluation]] — Agent Completion Evaluation（Agent 完成度评测）
@@ -35,12 +38,14 @@
 - [[agent-eval-grader]] — Agent Eval Grader
 - [[agent-eval-trace]] — Agent Eval Trace
 - [[agent-evaluation-paradigm-shift]] — Agent 评测范式转变（Paradigm Shift in Agent Evaluation）
+- [[agent-evaluator]] — Agent 评估器（Agent Evaluator）
 - [[agent-frameworks-to-platforms]] — Agent Frameworks to Platforms（从 Agent 框架到 Agent 平台）
 - [[agent-governance]] — Agent Governance（Agent 治理与安全）
 - [[agent-harness]] — Agent Harness (Claw)
 - [[agent-harness-engineering]] — Agent Harness Engineering（Agent 执行骨架工程）
 - [[agent-harness-mini]] — Mini Agent Harness
 - [[agent-harness-safety]] — Agent Harness Safety
+- [[agent-interface-design]] — Agent 接口设计 (Agent Interface Design)
 - [[agent-mediated-deception]] — 代理中介欺骗 (Agent-Mediated Deception)
 - [[agent-memory-five-category-model]] — Agent Memory Five-Category Model (sz 设计)
 - [[agent-memory-lifecycle]] — Agent 记忆生命周期
@@ -54,6 +59,7 @@
 - [[agent-observability]] — Agent Observability（Agent 可观测性）
 - [[agent-process-evaluation]] — Agent Process Evaluation（过程评测）
 - [[agent-robustness-evaluation]] — Agent Robustness Evaluation（Agent 鲁棒性评测）
+- [[agent-runtime-trace]] — Agent 运行时追踪（Runtime Trace）
 - [[agent-safety-evaluation]] — Agent Safety Evaluation（Agent 安全评测）
 - [[agent-sandbox]] — Agent Sandbox（Agent 沙箱）
 - [[agent-skill]] — Agent Skill — 可复用过程性构件
@@ -63,7 +69,9 @@
 - [[agent-token-budget-optimization]] — Agent Token Budget Optimization
 - [[agent-verification]] — Agent Verification（Agent 验证与评估）
 - [[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-quality-judge]] — Agent 质量判断器（Agentic Quality Judge）
 - [[agentic-rag]] — Agentic RAG
 - [[agentic-streaming-inference]] — Agentic Streaming Inference
 - [[agentic-systems]] — Agentic Systems（智能体系统）
@@ -79,25 +87,31 @@
 - [[algorithmic-equity]] — 算法公平性 (Algorithmic Equity)
 - [[amortized-variational-inference]] — Amortized Variational Inference（摊销变分推断）
 - [[analytical-report-synthesizer]] — Analytical Report Synthesizer
+- [[and-or-dag-memoization]] — AND-OR DAG 分层记忆化
 - [[and-or-interactions]] — AND-OR 交互 (AND-OR Interactions)
 - [[anthropic-agent-evals]] — Anthropic Agent Evals
 - [[anthropomorphization-critique]] — 人类化机器批判（Anthropomorphization Critique）
+- [[anticipatory-lemma-planning]] — 预期引理规划（Anticipatory Lemma Planning）
 - [[api-key-authentication]] — API Key 认证 (API Key Authentication)
 - [[appearance-bias-vla]] — Appearance Bias in VLA
+- [[artifact-heavy-agentic-systems]] — 产物密集型 Agent 系统 (Artifact-Heavy Agentic Systems)
 - [[arxiv]] — arXiv
 - [[asymmetric-grounding-adherence-loss]] — Asymmetric Grounding Adherence Loss (L_AGA)
 - [[asynchronous-rl-llm]] — 异步强化学习与大语言模型后训练
 - [[atlas-memory-system]] — Atlas Memory System
+- [[attention-drifting]] — 注意力偏移 (Attention Drifting)
 - [[attention-entropy-collapse]] — 注意力熵崩溃 (Attention Entropy Collapse)
 - [[attention-mechanism]] — Attention Mechanism
 - [[attention-sinks]] — 注意力汇 (Attention Sinks)
 - [[attractor-dynamics]] — 吸引子动力学 (Attractor Dynamics)
 - [[audio-visual-generation]] — Audio-Visual Generation
 - [[audio-visual-representation-alignment]] — Audio-Visual Representation Alignment
+- [[autoformalization]] — 自动形式化（Autoformalization）
 - [[autoharness]] — AutoHarness
 - [[automated-theorem-proving]] — 自动定理证明 (Automated Theorem Proving, ATP)
 - [[automatic-prompt-optimization]] — APO 自动提示工程 (Automatic Prompt Optimization)
 - [[autonomous-optimization-ao]] — Autonomous Optimization (AO)
+- [[autoregressive-drafting]] — Autoregressive Drafting
 - [[autoregressive-unrolling]] — 自回归展开 (Autoregressive Unrolling)
 - [[autoregressive-video-generation]] — Autoregressive Video Generation
 - [[auxiliary-predictive-objectives]] — 辅助预测目标 (Auxiliary Predictive Objectives)
@@ -114,14 +128,18 @@
 - [[bayesian-filtering]] — 贝叶斯滤波
 - [[bayesian-nonparametric-tpp]] — 贝叶斯非参数 TPP (Bayesian Nonparametric TPP)
 - [[bayesian-wind-tunnels]] — Bayesian Wind Tunnels
+- [[beam-shared-kv-caching]] — Beam-Shared KV Caching
+- [[behavior-monitoring-rl]] — 行为监控 RL（Behavior Monitoring in RL）
 - [[belief-accumulation]] — Belief Accumulation (信念累积)
 - [[belief-state]] — 信念状态 (Belief State)
 - [[belief-transport]] — Belief Transport (信念传输)
 - [[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）
+- [[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)
+- [[blueprint-driven-atp]] — 蓝图驱动 ATP（Blueprint-Driven ATP）
 - [[bm25-financial-retrieval]] — BM25 金融检索
 - [[boundary-compliance]] — Boundary Compliance
 - [[bounded-reuse]] — 有界复用 (Bounded Reuse)
@@ -152,6 +170,8 @@
 - [[chain-of-thought]] — 思维链 (Chain-of-Thought, CoT)
 - [[chaitin-algorithmic-information-theory]] — 算法信息论 (Algorithmic Information Theory, AIT)
 - [[chaitin-constant]] — 蔡廷常数 Ω (Chaitin's Constant)
+- [[channel-fracture]] — Channel Fracture（通道断裂）
+- [[circuit-breaker-pattern]] — Circuit Breaker Pattern（熔断器模式）
 - [[cl-bench-life]] — CL-Bench Life
 - [[classifier-free-guidance-language]] — Classifier-Free Guidance for Language
 - [[claw-swe-bench-lite]] — Claw-SWE-Bench Lite
@@ -159,6 +179,8 @@
 - [[clawless]] — ClawLess
 - [[clean-conditioning-mask]] — 清洁条件掩码 (Clean-Conditioning Mask)
 - [[clinical-ai]] — 临床人工智能 (Clinical AI)
+- [[clip]] — CLIP
+- [[clique-decision-problem]] — Clique Decision Problem（团判定问题）
 - [[coarse-grained-counting]] — 粗粒度计数 (Coarse-grained Counting)
 - [[coarse-grained-recurrence]] — 粗粒度循环 (Coarse-Grained Recurrence)
 - [[coarse-to-fine-granularity]] — Coarse-to-Fine Granularity
@@ -179,6 +201,8 @@
 - [[conditional-memory]] — Conditional Memory
 - [[conditional-model-dispatcher]] — Conditional Model Dispatcher
 - [[confidence-correctness-alignment]] — 置信度-正确性对齐 (Confidence-Correctness Alignment)
+- [[confidence-head]] — Confidence Head
+- [[confidence-scheduled-verification]] — Confidence-Scheduled Verification
 - [[consistency-logic]] — 一致性 (Consistency, 逻辑学)
 - [[constant-kv-cache]] — Constant KV Cache
 - [[content-based-reasoning]] — Content-Based Reasoning
@@ -192,9 +216,11 @@
 - [[context-drift]] — Context Drift（上下文漂移）
 - [[context-engineering]] — Context Engineering（上下文工程）
 - [[context-enriched-embeddings]] — 上下文增强嵌入 — Context Enriched Embeddings
+- [[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-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）
 - [[continual-learning]] — 持续学习 (Continual Learning)
@@ -204,11 +230,15 @@
 - [[continuous-thought-machine]] — Continuous Thought Machine (CTM)
 - [[continuous-time-rl]] — 连续时间强化学习 (Continuous-Time RL)
 - [[continuum-hypothesis]] — 连续统假设 (Continuum Hypothesis, CH)
+- [[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）
 - [[controlled-autonomy]] — Controlled Autonomy (受控的自主性)
 - [[controlled-text-generation]] — Controlled Text Generation
 - [[convex-hull-relaxation]] — Convex-Hull Relaxation (KV Cache)
 - [[coordinator-executor-architecture]] — Coordinator-Executor Architecture
+- [[cosine-similarity-geometry]] — 余弦相似度几何 (Cosine Similarity Geometry)
+- [[cosine-taper-schedule]] — Cosine Taper Schedule（余弦衰减调度）
 - [[cost-aware-benchmarking]] — 代价感知基准评测 (Cost-Aware Benchmarking)
 - [[cost-quality-speed-trilemma]] — Cost-Quality-Speed Trilemma（成本-质量-速度三元悖论）
 - [[countable-uncountable-infinity]] — 可数与不可数无穷
@@ -219,8 +249,10 @@
 - [[critical-failures]] — Critical Failures / 关键失败
 - [[critpt]] — CritPt (Critical Point Benchmark)
 - [[cross-head-budget-allocation]] — Cross-Head Budget Allocation
+- [[cross-mode-collision]] — Cross-Mode Collision
 - [[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
 - [[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)
@@ -240,6 +272,7 @@
 - [[decentralized-agent-architecture]] — 去中心化Agent架构
 - [[deep-and-wide-reasoning]] — Deep-and-Wide Reasoning（深度且宽广的推理）
 - [[deep-gaussian-process]] — 深度高斯过程 (Deep Gaussian Process)
+- [[deep-poly]] — DeepPoly
 - [[deep-rl-scaling]] — 扩展深度强化学习 (Scaling Deep RL)
 - [[deep-thinking-sft]] — Deep-Thinking SFT (深思考SFT数据)
 - [[deep-variational-implicit-process]] — 深度变分隐式过程 (DVIP)
@@ -252,10 +285,12 @@
 - [[delegate-52]] — DELEGATE-52
 - [[delegated-work]] — Delegated Work / 委托工作
 - [[delta-rule]] — Delta Rule
+- [[depth-aware-capacity-allocation]] — Depth-Aware Capacity Allocation（深度感知容量分配）
 - [[depth-dilemma]] — 深度困境 (Depth Dilemma)
 - [[depth-recurrence]] — 深度循环 (Depth Recurrence)
 - [[depth-scaling-signal-degradation]] — LLM 深度扩展与信号退化
 - [[deterministic-agent-failures]] — Deterministic Agent Failures（确定性 Agent 失败分类）
+- [[DFlash]] — DFlash
 - [[dgae]] — Difficulty-Balanced Group Advantage Estimation (DGAE)
 - [[dgpo]] — Difficulty-Aware Group Policy Optimization (DGPO)
 - [[diagonal-ramsey-number]] — Diagonal Ramsey Number（对角拉姆齐数）
@@ -281,10 +316,13 @@
 - [[dqw]] — Difficulty-Aware Question-Level Weighting (DQW)
 - [[drift-detection]] — 漂移检测 (Drift Detection)
 - [[drifting]] — Temporal Drift (时序漂移)
+- [[dspy]] — DSPy（声明式自改进 Python）
 - [[dual-collapse]] — Dual Collapse in Latent CoT
+- [[dual-encoder-vlm]] — 双编码器 VLM (Dual-Encoder VLM)
 - [[dual-layer-rl]] — Dual-Layer RL (双层强化学习)
 - [[dual-space-rl]] — Dual Space RL (DSRL)
 - [[duo-attention]] — DuoAttention
+- [[dynamic-beam-serving]] — Dynamic Beam Serving (DBS)
 - [[dynamic-in-database-modeling]] — Dynamic In-Database Modeling
 - [[dynamic-mode-decomposition]] — Dynamic Mode Decomposition (DMD)
 - [[dynamic-model-fusion]] — Dynamic Model Fusion
@@ -294,6 +332,7 @@
 - [[dynamic-token-limit]] — 动态 Token 限制 (Dynamic Token Limit)
 - [[dynamic-weight-updates]] — Dynamic Weight Updates
 - [[e-values]] — E-values（证据值）
+- [[Eagle3]] — Eagle3
 - [[edge-of-stability]] — Edge of Stability (EoS)
 - [[ellipsis-prompt]] — 省略号提示 (Ellipsis Prompt)
 - [[eluder-dimension]] — Eluder 维度 (Eluder Dimension)
@@ -313,10 +352,13 @@
 - [[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)
+- [[equilibrium-safe-exploration]] — Equilibrium of Safe Exploration（安全探索均衡）
 - [[etclovg-taxonomy]] — ETCLOVG 七层分类法
+- [[evaluator-metrics]] — 评估器质量指标（Evaluator Metrics）
 - [[evolution-probe]] — 进化探针 (Evolution Probe)
 - [[evolutionary-algorithms]] — Evolutionary Algorithms (进化算法)
 - [[evolving-knowledge-injection]] — 进化知识注入 (Evolving Knowledge Injection)
+- [[exactline]] — ExactLine
 - [[execution-environment]] — Execution Environment（执行环境与沙箱）
 - [[execution-fidelity]] — Execution Fidelity
 - [[execution-harness]] — Execution Harness
@@ -329,6 +371,7 @@
 - [[fact-augmented-key-expansion]] — Fact-Augmented Key Expansion
 - [[fading-memory]] — 衰减记忆 (Fading Memory)
 - [[faithfulness-in-ai]] — Faithfulness in AI
+- [[feasible-zone]] — Feasible Zone（可行域）
 - [[feature-absorption]] — 特征吸收 (Feature Absorption)
 - [[feature-family]] — 特征家族 (Feature Family)
 - [[feature-splitting]] — 特征分裂 (Feature Splitting)
@@ -355,6 +398,7 @@
 - [[formal-concept-analysis]] — 形式概念分析 (Formal Concept Analysis)
 - [[formal-security-model]] — 形式化安全模型
 - [[formal-systems]] — 形式系统 (Formal System)
+- [[formal-theorem-proving]] — 形式化定理证明（Formal Theorem Proving）
 - [[formal-verification]] — Formal Verification (形式化验证)
 - [[forward-authentication]] — 外部认证委托 (Forward Authentication)
 - [[forward-repair-ladder]] — Forward-Repair Ladder
@@ -382,7 +426,7 @@
 - [[generation-verification-asymmetry]] — 生成-验证不对称性 (Generation-Verification Asymmetry)
 - [[generative-general-unification]] — Generative-General-Unification (GenAI 三支柱)
 - [[generative-perplexity]] — generative-perplexity
-- [[generative-recommendation]] — 生成式推荐 (Generative Recommendation)
+- [[generative-recommendation]] — Generative Recommendation
 - [[generative-reconstruction-latent]] — Generative Reconstruction (Latent)
 - [[genetic-programming]] — Genetic Programming (遗传编程)
 - [[geometric-compression-latent]] — Geometric Compression (Latent CoT)
@@ -395,12 +439,14 @@
 - [[global-context-hash-tree]] — Global Context Hash Tree (全局上下文哈希树)
 - [[godel-incompleteness-theorems]] — 哥德尔不完备定理 (Gödel's Incompleteness Theorems)
 - [[godel-numbering]] — 哥德尔编码 (Gödel Numbering)
+- [[goodharts-law]] — Goodhart's Law
 - [[goodsteins-theorem]] — 古德斯坦定理 (Goodstein's Theorem)
 - [[governance-security]] — Governance & Security（治理与安全）
 - [[gpt-image2]] — GPT-Image-2
 - [[gradient-alignment]] — Gradient Alignment (PreRL)
 - [[gram-generative-recursive-reasoning]] — GRAM（Generative Recursive reAsoning Models）
 - [[granger-causality-tpp]] — Granger 因果发现 (Granger Causality in TPP)
+- [[graphrag]] — GraphRAG（知识图谱增强检索）
 - [[gravitino-unified-metadata]] — Gravitino 统一元数据管理
 - [[greedy-context-screening]] — Greedy Context Screening（贪心上下文筛选）
 - [[green-tao-theorem]] — Green-Tao Theorem
@@ -415,6 +461,8 @@
 - [[hard-token]] — Hard Token
 - [[hardening-execution-environments]] — Hardening Execution Environments（硬化执行环境）
 - [[hardware-aware-algorithm]] — Hardware-Aware Algorithm (Mamba)
+- [[hardware-aware-prefix-scheduler]] — Hardware-Aware Prefix Scheduler
+- [[harness-as-a-service]] — Harness-as-a-Service（脚手架即服务）
 - [[harness-as-action-verifier]] — Harness-as-Action-Verifier
 - [[harness-as-policy]] — Harness-as-Policy (Code as Policy)
 - [[harness-coupling-problem]] — Harness Coupling Problem（Harness 耦合问题）
@@ -441,6 +489,7 @@
 - [[hrpo]] — HRPO: Hybrid Reasoning Policy Optimization
 - [[human-agent-trust]] — 人机信任 (Human-Agent Trust)
 - [[human-centered-ai]] — Human-Centered AI (以人类为中心的 AI)
+- [[human-implicit-reward-signals]] — 人类隐式奖励信号（Human Implicit Reward Signals）
 - [[human-in-the-loop]] — Human-in-the-Loop — 人机协同
 - [[hybrid-attention-architecture]] — Hybrid Attention Architecture
 - [[hybrid-reasoning]] — 混合推理 (Hybrid Reasoning)
@@ -448,6 +497,7 @@
 - [[hybrid-recall-pipeline]] — Hybrid Recall Pipeline (BM25 + Dense)
 - [[hyperagents]] — Hyperagents (超智能体)
 - [[hypergraph-ramsey-number]] — Hypergraph Ramsey Number（超图拉姆齐数）
+- [[hypernetworks]] — HyperNetworks: 生成网络权重的元网络
 - [[hyperplane-arrangements]] — 超平面排列 (Hyperplane Arrangements)
 - [[hypothesis-tree-refinement]] — Hypothesis Tree Refinement (HTR)
 - [[identity-reference-resolution]] — 身份指代消解 (Identity Reference Resolution)
@@ -470,11 +520,14 @@
 - [[input-superposition]] — Input Superposition
 - [[insight-backpropagation]] — Insight Backpropagation
 - [[intensity-free-modeling]] — Intensity-free 建模
+- [[intent-underspecification]] — 意图欠定性（Intent Underspecification）
 - [[interaction-based-explanation]] — 交互基解释 (Interaction-Based Explanation)
 - [[interaction-generalizability]] — 交互泛化性 (Interaction Generalizability)
 - [[interaction-order]] — 交互阶数 (Interaction Order)
 - [[interaction-types-sft]] — SFT 中的三类交互 (Removed, Preserved, Newly Emerged)
+- [[interactive-judge]] — 交互式判断器（Interactive Judge）
 - [[interleaved-gui-tool-trajectory-scaling]] — Interleaved GUI-Tool Trajectory Scaling Pipeline
+- [[interleaved-informal-formal-planning]] — 非正式-形式化交错规划（Interleaved Informal-Formal Planning）
 - [[internal-ticks]] — Internal Ticks
 - [[internal-world-model]] — Internal World Model
 - [[intersectional-persona-evaluation]] — Intersectional Persona Evaluation
@@ -483,6 +536,7 @@
 - [[intrabench]] — IntraBench — Benchmark for Content-Grounded Literature QA
 - [[intragent]] — IntrAgent — Structural-Aware Literature Reading Agent
 - [[intraview]] — IntraView — Content-Grounded Literature Information Retrieval
+- [[intrinsic-dimension]] — Intrinsic Dimension: 参数空间的内在维度
 - [[intrinsic-rewards-sharpening]] — 内在奖励锐化机制 (Intrinsic Rewards Sharpening)
 - [[inward-only-gradient-flow]] — Inward-Only Gradient Flow (内向梯度流)
 - [[isolation-necessity-theorem]] — Isolation Necessity Theorem (隔离必要性定理)
@@ -496,6 +550,7 @@
 - [[jagged-frontier]] — Jagged Frontier / 锯齿前沿
 - [[jepa]] — JEPA (Joint Embedding Predictive Architecture)
 - [[jepa-for-robotics]] — JEPA for Robotics
+- [[just-in-time-retrieval]] — Just-in-Time Retrieval（即时检索）
 - [[k-pass-training]] — K-Pass Training (K 遍训练)
 - [[kalman-filter]] — Kalman 滤波
 - [[keydiff]] — KeyDiff
@@ -518,6 +573,7 @@
 - [[kv-cache]] — KV Cache
 - [[kv-cache-bottleneck]] — KV 缓存内存瓶颈
 - [[kv-cache-eviction]] — KV Cache Eviction
+- [[kv-injection]] — KV Injection
 - [[kvcache-transfer]] — KVCache 传输与优化
 - [[language-gradient]] — Language Gradient (语言梯度)
 - [[language-loss]] — Language Loss (语言损失)
@@ -528,8 +584,12 @@
 - [[latent-thought-models]] — 隐式思考模型 (Latent Thought Models)
 - [[latent-variable-generative-model]] — Latent-Variable Generative Model（潜在变量生成模型）
 - [[latent-world-model]] — Latent World Model (Robotics)
+- [[layer-wise-training]] — Layer-wise Training (LWT): 逐层训练策略
 - [[layered-memory-architecture]] — 三层记忆架构
+- [[lazyar]] — LazyAR (Lazy Autoregressive Decoder)
 - [[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）
 - [[length-extrapolation]] — 长度外推 (Length Extrapolation)
 - [[leopold-kronecker]] — 利奥波德·克罗内克尔 (Leopold Kronecker)
 - [[leworldmodel]] — LeWorldModel
@@ -542,8 +602,10 @@
 - [[linear-quadratic-regulator]] — 线性二次调节器 (Linear Quadratic Regulator)
 - [[linear-representation-hypothesis]] — Linear Representation Hypothesis
 - [[linearized-neural-network]] — 线性化神经网络 (Linearized Neural Network)
+- [[lipschitz-continuity]] — Lipschitz Continuity: 利普希茨连续性
 - [[llama-factory]] — LLaMA-Factory
 - [[llm-applications]] — LLM 应用
+- [[llm-as-a-judge]] — LLM-as-a-Judge
 - [[llm-based-temporal-point-process]] — LLM 时间点过程 (LLM-based TPP)
 - [[llm-consistent-reasoning]] — LLM Consistent Reasoning
 - [[llm-evaluation-benchmarks]] — LLM 评测基准体系
@@ -558,18 +620,29 @@
 - [[long-term-interactive-memory]] — Long-Term Interactive Memory
 - [[longmem-eval]] — LongMemEval Benchmark
 - [[look-ahead-buffer-controller]] — Look-Ahead Buffer Controller
+- [[loop-contract]] — Loop Contract（循环协议）
+- [[loop-designer]] — Loop Designer（循环设计师）
+- [[loop-engineering]] — Loop Engineering（循环工程）
+- [[loop-maturity-levels]] — Loop Maturity Levels（循环成熟度）
 - [[lora]] — LoRA (Low-Rank Adaptation)
+- [[loss-landscape]] — Loss Landscape: 神经网络的损失景观
 - [[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-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)
 - [[macro-level-token-economics]] — Macro-Level Token Economics
 - [[mamba-2]] — Mamba-2
 - [[mamba-ssm]] — Mamba (State Space Model)
 - [[manifold-constrained-hyper-connections]] — Manifold-Constrained Hyper-Connections (mHC)
+- [[manifold-hypothesis]] — Manifold Hypothesis (流形假设)
 - [[manifold-of-minimizers]] — Manifold of Minimizers (极小值流形)
+- [[mapping-loss]] — Mapping Loss: 联合任务与几何约束的损失函数
+- [[mapping-theorem]] — Mapping Theorem: 参数空间的低维映射存在性定理
 - [[marginal-utility]] — Marginal Utility (KV Cache)
 - [[marked-temporal-point-process]] — 标记时间点过程 (Marked TPP)
+- [[markov-draft-head]] — Markov Draft Head
 - [[martingale-clt]] — 鞅中心极限定理 (Martingale CLT)
 - [[math-question-reformulation]] — 数学问题多维度改写
 - [[mathchatsync-reasoning]] — MathChatSync Reasoning
@@ -578,9 +651,11 @@
 - [[mathforge]] — MathForge 框架
 - [[maze-navigation]] — 迷宫导航 (Maze Navigation)
 - [[mc-dropout]] — MC Dropout (Monte Carlo Dropout)
+- [[mcp]] — MCP (Model Context Protocol)
 - [[mcp-protocol]] — MCP 协议 — Model Context Protocol
 - [[mcp-tools-dataset]] — MCP-tools 数据集
 - [[me2-principle]] — ME² Principle
+- [[mechanism-policy-separation]] — Mechanism-Policy Separation（机制与策略分离）
 - [[mechanistic-interpretability]] — 机制可解释性 (Mechanistic Interpretability)
 - [[megatron-lm]] — Megatron-LM
 - [[mem2skill]] — Mem2Skill — 记忆到技能转化
@@ -589,8 +664,11 @@
 - [[memory-compute-decoupling]] — Memory-Compute Decoupling
 - [[memory-consolidation]] — Memory Consolidation（写后提炼）
 - [[memory-dedup-pipeline]] — 记忆去重管线
+- [[memory-dream]] — Memory Dream（记忆梦境）
 - [[memory-governance]] — 记忆治理 — Memory Governance
 - [[memory-indexing-retrieval-reading]] — Memory Indexing-Retrieval-Reading Framework
+- [[memory-recall-fast-slow]] — 记忆快慢召回（Memory Recall: Fast & Slow）
+- [[memory-tripartite-partition]] — 记忆三分区（Memory Tripartite Partition）
 - [[meso-level-token-economics]] — Meso-Level Token Economics
 - [[messy-context-reasoning]] — 混乱上下文推理 (Messy Context Reasoning)
 - [[meta-jctrader]] — Meta-JCTrader
@@ -598,19 +676,24 @@
 - [[meta-tools]] — Meta Tools — 管理工具的工具
 - [[metacognitive-self-modification]] — Metacognitive Self-Modification (元认知自我修改)
 - [[metamathematics]] — 元数学 (Metamathematics)
+- [[mgmr-rq-kmeans]] — MGMR RQ-Kmeans
 - [[micro-level-token-economics]] — Micro-Level Token Economics
 - [[million-token-context]] — Million-Token Context
 - [[mineru]] — minerU — PDF-to-Markdown for Scientific Literature
 - [[minimax-optimality]] — Minimax 最优性 (Minimax Optimality)
+- [[minimum-viable-context]] — Minimum Viable Context（最小可行上下文）
+- [[misalignment-budget]] — 不对齐预算 (Misalignment Budget)
 - [[mixture-of-attention-schemes]] — Mixture of Attention Schemes (MoAS)
 - [[mixture-of-depths-attention]] — Mixture-of-Depths Attention (MoDA)
 - [[mixture-of-experts]] — Mixture of Experts (MoE)
 - [[ml-technical-debt]] — ML 技术债务
+- [[mlp-width-tapering]] — MLP Width Tapering（MLP 宽度渐缩）
 - [[mme-voke]] — MMEVOKE
 - [[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-relationship]] — Model-Harness Relationship (模型与Harness关系)
+- [[model-proposes-harness-executes]] — Model Proposes, Harness Executes
 - [[model-steering]] — Model Steering
 - [[moe-lora]] — MoELoRA
 - [[moe-lora-toolchain-conflict]] — MOE + LoRA 工具链冲突
@@ -618,6 +701,7 @@
 - [[monocular-video-to-4d]] — 单目视频到 4D (Monocular Video to 4D)
 - [[mqr]] — Multi-Aspect Question Reformulation (MQR)
 - [[mrq-algorithm]] — MR.Q 算法 (MR.Q Algorithm)
+- [[MTP]] — MTP (Multi-Token Prediction)
 - [[multi-agent-orchestration]] — Multi-Agent Orchestration（多 Agent 编排）
 - [[multi-agent-safety]] — Multi-Agent Safety
 - [[multi-agent-spiral]] — 多智能体螺旋（Multi-Agent Spiral）
@@ -625,6 +709,7 @@
 - [[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-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）
 - [[multi-step-planning]] — 多步规划 (Multi-Step Planning)
@@ -653,6 +738,7 @@
 - [[neuroscience]] — Neuroscience (神经科学)
 - [[next-state-grounding]] — Next-State Grounding
 - [[ngram-embedding]] — N-gram Embedding (in LLMs)
+- [[nokv]] — NoKV
 - [[non-anticipative-functionals]] — 非预期泛函 (Non-Anticipative Functionals)
 - [[non-stationary-time-series]] — Non-stationary Time Series（非平稳时间序列）
 - [[non-thinking-mode]] — 非思考模式 (Non-Thinking Mode)
@@ -673,6 +759,7 @@
 - [[onereason-bench]] — OneReason-Bench
 - [[onerec]] — OneRec 生成式推荐模型族
 - [[open-telemetry]] — OpenTelemetry (OTel)
+- [[open-vocabulary-recognition]] — 开放词表识别 (Open-Vocabulary Recognition)
 - [[openclaw]] — OpenClaw
 - [[opinion-polarization]] — 观点极化（Opinion Polarization）
 - [[optimal-gui-tool-path-selection]] — Optimal GUI-Tool Path Selection
@@ -685,9 +772,12 @@
 - [[pac-bayesian-bounds]] — PAC-Bayesian 泛化界 (PAC-Bayesian Bounds)
 - [[pageindex]] — PageIndex
 - [[paley-graph]] — Paley Graph
+- [[parallel-drafting]] — Parallel Drafting
 - [[parallel-scan]] — Parallel Scan (Parallel Associative Scan)
+- [[parameter-efficient-training]] — Parameter-Efficient Training: 参数高效训练
 - [[parametrization-map]] — 参数化映射 (Parametrization Map)
 - [[pareto-frontier-evaluation]] — Pareto 前沿评测 (Pareto Frontier Evaluation)
+- [[pareto-frontier-llm-serving]] — Pareto Frontier (LLM Serving)
 - [[paris-harrington-theorem]] — Paris-Harrington Theorem（巴黎-哈灵顿定理）
 - [[partially-observable-markov-game]] — 部分可观测马尔可夫博弈 (Partially Observable Markov Game, POMG)
 - [[pass-at-k-vs-pass-k]] — Pass@k vs Pass^k（能力上限 vs 可靠性下限）
@@ -699,6 +789,7 @@
 - [[per-index-time-decay]] — Per-Index Time Decay
 - [[perception-cognition-recommendation]] — 感知-认知推荐层次 (R0-R3)
 - [[perception-gap]] — 感知鸿沟 (Perception Gap)
+- [[perfect-sequences]] — Perfect Sequences（完美序列）
 - [[persona-invariant-reasoning]] — Persona-Invariant Reasoning
 - [[personalization-trap]] — 个性化陷阱 (Personalization Trap)
 - [[pldm]] — PLDM (Pretrained Latent Dynamics Model)
@@ -710,6 +801,7 @@
 - [[pomdp]] — 部分可观测马尔可夫决策过程 (POMDP)
 - [[position-encoding]] — Position Encoding (位置编码)
 - [[position-id-discrepancy]] — Position ID Discrepancy (位置 ID 偏差)
+- [[position-wise-conditional-acceptance]] — Position-wise Conditional Acceptance
 - [[positive-sample-reinforcement]] — Positive Sample Reinforcement (PSR)
 - [[post-action-configuration]] — 后动作配置 (Post-Action Configuration)
 - [[post-hoc-reasoning-rl]] — 后置推理 RL (Post-Hoc Reasoning RL)
@@ -722,12 +814,15 @@
 - [[pre-train-space-reinforcement-learning]] — Pre-train Space Reinforcement Learning (PreRL)
 - [[precision-weighted-fusion]] — 精度加权融合 (Precision-Weighted Fusion)
 - [[prediction-driven-inference]] — 预测驱动推断（Prediction-Driven Inference）
+- [[prediction-invariant-intervals]] — 预测不变区间 (Prediction-Invariant Intervals)
 - [[predictive-representation-learning]] — 预测表征学习 (Predictive Representation Learning)
 - [[preference-log-odds]] — Preference Log-Odds
 - [[preference-utility-analysis]] — Preference–Utility Analysis
 - [[prefill-as-a-service]] — Prefill-as-a-Service (PrfaaS)
 - [[prefill-decode-disaggregation]] — Prefill-Decode 分离架构 (PD Disaggregation)
 - [[prefix-matching]] — Prefix Matching（前缀匹配）
+- [[prefix-matching-invariant]] — Prefix Matching Invariant（前缀匹配不变性）
+- [[prefix-survival-probability]] — Prefix Survival Probability
 - [[preserved-interactions-backbone]] — 保留交互作为推理支柱 (Preserved Interactions as Inference Backbone)
 - [[pretraining-statistical-bias]] — 预训练统计偏好（Pretraining Statistical Bias）
 - [[primitive-completeness]] — Primitive Completeness (原语完备性)
@@ -740,7 +835,9 @@
 - [[procedural-task-execution]] — 程序性任务执行 (Procedural Task Execution)
 - [[product-stability]] — Product-Stability (乘积稳定性)
 - [[program-synthesis]] — Program Synthesis (程序合成)
+- [[progressive-disclosure]] — 渐进式披露 (Progressive Disclosure)
 - [[prompt-caching]] — Prompt Caching
+- [[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-reverse-engineering]] — 图片反推 Prompt (Prompt Reverse Engineering)
@@ -748,6 +845,7 @@
 - [[prope]] — PRoPE (Projective Rotary Position Encoding)
 - [[prospective-memory-index]] — Prospective Memory Index (前瞻记忆索引)
 - [[pseudo-huber-loss]] — Pseudo-Huber 损失
+- [[pushdown-in-agent-interface]] — Agent 接口下推 (Pushdown in Agent Interface)
 - [[pydantic]] — Pydantic
 - [[pydantic-ai]] — Pydantic AI
 - [[pydantic-core]] — pydantic-core
@@ -769,9 +867,13 @@
 - [[ramsey-theory-applications]] — Ramsey Theory Applications（拉姆齐理论应用）
 - [[random-access-binding]] — Random-Access Binding (随机访问绑定)
 - [[random-graph-theory]] — Random Graph Theory（随机图理论）
+- [[random-sphere-graph]] — Random Sphere Graph（随机球面图）
+- [[randomized-smoothing]] — 随机平滑 (Randomized Smoothing)
 - [[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-quality-optimization]] — Reasoning Quality Optimization
+- [[reco-result-cache]] — Recommendation Result Cache (Reco Result Cache)
 - [[recommendation-cot]] — 推荐思维链 (Recommendation CoT)
 - [[recommendation-reasoning]] — 推荐推理 (Recommendation Reasoning)
 - [[rectified-flows]] — Rectified Flows
@@ -806,17 +908,30 @@
 - [[reward-hacking-llm]] — LLM 奖励黑客 (Reward Hacking in LLMs)
 - [[reward-model]] — 奖励模型 (Reward Model, RM)
 - [[reward-recency-sampling]] — 奖励-最近度混合采样
+- [[rice-theorem]] — Rice's Theorem
 - [[richard-dedekind]] — 里夏德·狄德金 (Richard Dedekind)
+- [[risky-bellman-equation]] — Risky Bellman Equation（风险贝尔曼方程）
 - [[risograph-print-style]] — Riso 印刷风格 (Risograph Print Style)
 - [[rlhf]] — RLHF (Reinforcement Learning from Human Feedback)
 - [[rlhf-alignment-amplification]] — RLHF 对齐放大（RLHF Alignment Amplification）
 - [[rlvr-unified-framework]] — RLVR 统一理论框架
+- [[rnn-draft-head]] — RNN Draft Head
+- [[robustness-certification]] — 鲁棒性认证 (Robustness Certification)
 - [[role-setting-entrenchment]] — 角色设定固化（Role-Setting Entrenchment）
 - [[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)
 - [[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)
+- [[rubric-aggregation]] — Rubric Aggregation
+- [[rubric-based-evaluation]] — 量规评估（Rubric-Based Evaluation）
+- [[rubric-based-reward-modeling]] — Rubric-Based Reward Modeling
+- [[rubric-construction]] — Rubric Construction
+- [[rubric-driven-evaluation]] — Rubric-Driven Evaluation
+- [[rubric-personalization]] — Rubric Personalization
+- [[rubric-safety]] — Rubric Safety
+- [[rubrics-for-llms]] — Rubrics for LLMs
 - [[rule-system-application]] — 规则系统应用 (Rule System Application)
 - [[runtime-governance]] — 运行时治理 — Skill Governance
 - [[runtime-harness-adaptation]] — Runtime Harness Adaptation（运行时骨架适配）
@@ -825,7 +940,10 @@
 - [[russian-constructivism]] — 俄国构成主义 (Russian Constructivism)
 - [[rwkv]] — RWKV (Receptance Weighted Key Value)
 - [[s-token]] — S-Token (Superposed Token)
+- [[safe-equilibrium-exploration]] — SEE: Safe Equilibrium Exploration
+- [[safe-exploration]] — Safe Exploration（安全探索）
 - [[safety-adherence-rate]] — Safety Adherence Rate
+- [[safety-filter]] — Safety Filter（安全过滤器）
 - [[scaling-permutation-symmetry]] — 缩放与置换对称性 (Scaling & Permutation Symmetries)
 - [[scientific-literature-qa]] — Scientific Literature QA — Question Answering over Research Papers
 - [[sde-sampler-language]] — SDE Sampler for Language Diffusion
@@ -848,10 +966,16 @@
 - [[self-resampling]] — Self-Resampling
 - [[self-verification-rewards]] — 自我验证奖励 (Self-Verification Rewards)
 - [[semantic-equivalence]] — Semantic Equivalence / 语义等价
+- [[semantic-extent]] — 语义 Extent (Semantic Extent)
+- [[semantic-id]] — Semantic ID
+- [[semantic-plane]] — 语义平面 (Semantic Plane)
+- [[semantic-robustness-certification]] — 语义鲁棒性认证 (Semantic Robustness Certification)
 - [[semi-algebraic-set]] — 半代数集 (Semi-algebraic Set)
+- [[semi-autoregressive-generation]] — Semi-Autoregressive Generation
 - [[semiseparable-matrices]] — 半可分矩阵 (Semiseparable Matrices)
 - [[sequence-packing]] — Sequence Packing (序列打包)
 - [[sequential-dependency]] — 顺序依赖 (Sequential Dependency)
+- [[sequential-temperature-scaling]] — Sequential Temperature Scaling
 - [[set-theory-history]] — 集合论史
 - [[sft-denoising-stage]] — SFT 去噪阶段 (SFT Denoising Stage)
 - [[sft-early-stopping]] — SFT 早停策略 (SFT Early Stopping)
@@ -873,6 +997,7 @@
 - [[skill-data-flywheel]] — Skill Data Flywheel (Skill 数据飞轮)
 - [[skill-ecosystem]] — Skill Ecosystem (Skill 生态系统)
 - [[skill-evolution]] — Skill 演化 — 修订→验证→治理
+- [[skill-issue-framework]] — Skill Issue Framework（Skill Issue 框架）
 - [[skill-lifecycle]] — Skill 生命周期
 - [[skill-probe]] — 技能探针 (Skill Probe)
 - [[skill-representation]] — Skill 表示 — 文本/代码/混合
@@ -889,8 +1014,10 @@
 - [[soft-supersession]] — Soft-Supersession
 - [[soft-token]] — Soft Token
 - [[softmax-off-by-one]] — SoftMax-off-by-One
+- [[solvability-theorem]] — Solvability Theorem: 加性调制映射网络的可解性
 - [[sovereign-ai]] — 主权AI (Sovereign AI)
 - [[space-supervision]] — Space Supervision
+- [[span-kto]] — Span-KTO
 - [[sparse-attention-patterns]] — 稀疏注意力模式 (Sparse Attention Patterns)
 - [[sparse-autoencoder]] — 稀疏自编码器 (Sparse Autoencoder)
 - [[sparsity-allocation]] — Sparsity Allocation (U-shaped Law)
@@ -899,6 +1026,7 @@
 - [[specialized-rl]] — 专项强化学习 (Specialized RL)
 - [[specialized-sft]] — 专项监督微调 (Specialized SFT)
 - [[spectral-mdp-decomposition]] — 谱 MDP 分解 (Spectral MDP Decomposition)
+- [[speculative-decoding]] — Speculative Decoding
 - [[spiking-neural-networks]] — Spiking Neural Networks (SNN)
 - [[spiral-of-silence]] — 沉默的螺旋（Spiral of Silence）
 - [[split-steering]] — SPLIT Steering
@@ -960,9 +1088,11 @@
 - [[temporal-rollout]] — 时间滚动展开 (Temporal Rollout)
 - [[tensor-contraction-duality]] — 张量收缩对偶 (Tensor Contraction Duality)
 - [[terminal-bench]] — Terminal-Bench
+- [[test-driven-rewards]] — 测试驱动奖励（Test-Driven Rewards）
 - [[test-time-control]] — 测试时控制 (Test-Time Control)
 - [[test-time-scaling]] — Test-Time Scaling
 - [[test-time-training-rl]] — 测试时训练 RL (Test-Time Training with RL)
+- [[text-proxy-for-semantics]] — 文本语义代理 (Text Proxy for Semantics)
 - [[text-space-optimizer]] — Text-Space Optimizer (文本空间优化器)
 - [[text-vs-weight-optimization]] — Text vs Weight Optimization (文本 vs 权重优化)
 - [[textual-learning-rate]] — Textual Learning Rate (文本学习率)
@@ -993,6 +1123,7 @@
 - [[tool-efficient-path-reward]] — Tool-Efficient Path Reward
 - [[tool-interface]] — Tool Interface & Protocol Layer（工具接口与协议层）
 - [[tool-registry]] — 工具注册表 — Tool Registry
+- [[tool-workspace-binding]] — 工具-工作区绑定（Tool-Workspace Binding）
 - [[tpp-applications]] — TPP 应用场景
 - [[tpp-training-methods]] — TPP 训练方法
 - [[trace-native-evaluation]] — Trace-Native Evaluation（踪迹原生评估）
@@ -1008,8 +1139,10 @@
 - [[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)
 - [[typeadapter]] — TypeAdapter
+- [[ua-sid]] — UA-SID (Unified Advertisement Semantic ID)
 - [[ultradata]] — UltraData
 - [[uncancelled-interaction-effects]] — 未抵消交互效应 (Uncancelled Interaction Effects)
+- [[uncertain-model]] — Uncertain Model（不确定模型）
 - [[uncertainty-disparity-ratio]] — 不确定性差异比 (Uncertainty Disparity Ratio, UDR)
 - [[uncertainty-equity-gap]] — 不确定性公平性差距 (Uncertainty Equity Gap, UEG)
 - [[uncertainty-quantification]] — 不确定性量化 (Uncertainty Quantification)
@@ -1017,6 +1150,7 @@
 - [[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-vsl-rspo]] — Unified VSL-RSPO Learning
 - [[universal-approximation-theorem]] — 通用逼近定理 (Universal Approximation Theorem)
 - [[unlimited-ocr]] — Unlimited OCR 模型
 - [[unscented-kalman-filter]] — 无迹 Kalman 滤波
@@ -1026,33 +1160,45 @@
 - [[user-memory-bias]] — User Memory Bias
 - [[userspace-kernel]] — 用户空间内核
 - [[validity-decay]] — Validity Decay
+- [[value-aware-supervised-learning]] — Value-Aware Supervised Learning (VSL)
 - [[van-der-waerden-theorem]] — van der Waerden Theorem
 - [[variational-autoencoder]] — 变分自编码器 (Variational Autoencoder, VAE)
 - [[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-evaluation]] — Verification & Evaluation（验证与评估）
+- [[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)
 - [[visibility-constraint]] — Visibility Constraint (可见性约束)
+- [[vision-language-models]] — Vision-Language Models (VLM)
 - [[visual-primitives]] — 视觉原语 (Visual Primitives)
 - [[vla-jepa]] — VLA-JEPA (模型)
 - [[vla-vision-language-action]] — VLA (Vision-Language-Action)
+- [[voronoi-decision-regions]] — Voronoi 决策区域 (Voronoi Decision Regions)
 - [[watanabe-triple]] — Watanabe 三元组 (Watanabe's Triple)
+- [[watchdog-pattern]] — Watchdog Pattern（看门狗模式）
 - [[wavemask-wavemix]] — WaveMask / WaveMix
 - [[weak-revealing-condition]] — 弱揭示条件 (Weak Revealing Condition)
+- [[weight-manifold-hypothesis]] — Weight-Manifold Hypothesis: 参数空间流形假设
+- [[weight-modulation]] — Weight Modulation: 权重调制
 - [[weighted-spaces]] — 加权空间 (Weighted Spaces)
 - [[width-based-scaling]] — Width-Based Scaling（宽度扩展）
 - [[wiener-process]] — 维纳过程 (Wiener Process)
 - [[wikilinks]] — Wikilinks
 - [[window-attention]] — 窗口注意力 (Window Attention)
 - [[wkv-time-mixing]] — WKV Time Mixing
+- [[workspace-first-architecture]] — Workspace-first 架构
 - [[world-model-lecun]] — LeCun 世界模型理论
 - [[world-models-rl]] — World Models in RL
 - [[worst-case-threat-model]] — 最坏情况威胁模型
 - [[x-prediction-parameterization]] — x-Prediction Parameterization
 - [[zero-cost-proxies]] — Zero-Cost Proxies (ZCP)
 - [[zero-data-cold-start]] — 零数据冷启动 (Zero-Data Cold Start)
+- [[zero-shot-classification]] — 零样本分类 (Zero-Shot Classification)
 
 ## Papers
 
@@ -1072,6 +1218,7 @@
 - [[dead-directions-geometric-singular-learning]] — Dead Directions: 几何奇异学习理论
 - [[deepseek-v4-million-token-context]] — DeepSeek-V4: 迈向高效百万 Token 上下文智能
 - [[dou-cl-bench]] — CL-bench: 上下文学习基准——首篇定义context learning范式的论文
+- [[DSpark]] — DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Gener
 - [[elf-embedded-language-flows]] — ELF: Embedded Language Flows
 - [[engram-conditional-memory-2026]] — Engram: Conditional Memory via Scalable Lookup (Cheng et al., PKU/DeepSeek-AI, 2
 - [[fei-mcp-zero-2025]] — MCP-Zero：主动工具发现
@@ -1082,6 +1229,7 @@
 - [[geometric-sae-concepts]] — A Geometric View for Understanding Concept Learning and Neuron Interpretation in
 - [[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
 - [[gram-generative-recursive-reasoning-paper]] — Generative Recursive Reasoning (GRAM)
 - [[gu-mamba]] — Mamba: Linear-Time Sequence Modeling with Selective State Spaces
 - [[hazare-dcgwm-2026]] — DCGWM: 双通道接地世界建模 — 结构防止目标干扰坍缩
@@ -1092,6 +1240,7 @@
 - [[laban-llms-corrupt-documents-delegate]] — LLMs Corrupt Your Documents When You Delegate
 - [[large-language-gibbs]] — Structured Inference with Large Language Gibbs
 - [[latent-cot-supervision]] — What Makes Effective Supervision in Latent Chain-of-Thought
+- [[leap-agentic-atp]] — LEAP: Agentic Formal Theorem Proving with General LLMs
 - [[li-amd-human-perception]] — "Are You Sure?": Human Perception Vulnerability in LLM Agents
 - [[liu-auditing-agent-harness-safety]] — Auditing Agent Harness Safety
 - [[liu-koopa-2023]] — Koopa: Koopman 预测器驱动的非平稳时间序列学习
@@ -1119,17 +1268,24 @@
 - [[procedural-skills-to-strategy-genes]] — From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Ev
 - [[qin-prfaas-cross-datacenter]] — Prefill-as-a-Service: KVCache Goes Cross-Datacenter
 - [[ramsey-numbers-survey]] — 拉姆齐数的数学综述
+- [[ramsey-sphere-lowerbound]] — An exponential improvement for Ramsey lower bounds
 - [[relu-neuromanifolds-semi-algebraicity]] — ReLU 神经流形的纤维与半代数性
 - [[repmt-sac]] — Learning to Adapt: Representation-Based RL for Multi-Task Skill Transfer
+- [[rubrics-survey-2026]] — The Rules of the Game: A Survey of Rubrics for Large Language Models
+- [[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
 - [[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
 - [[tao-klowden-ai-mathematical-methods]] — Mathematical methods and human thought in the age of AI
+- [[tapered-language-models]] — Tapered Language Models
 - [[tarpo]] — TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimizati
 - [[thinking-with-visual-primitives]] — Thinking with Visual Primitives — 以视觉原语思考
 - [[ticks-to-flows]] — From Ticks to Flows: Dynamics of Neural RL in Continuous Environments
 - [[toolcua-optimal-gui-tool-orchestration]] — ToolCUA: Optimal GUI-Tool Path Orchestration for Computer Use Agents
 - [[unlimited-ocr-works-2026]] — Unlimited OCR Works (Yin et al., Baidu, 2026)
+- [[verification-horizon-no-silver-bullet]] — The Verification Horizon: No Silver Bullet for Coding Agent Rewards
 - [[vla-jepa-2026]] — VLA-JEPA (Sun et al., 2026)
 - [[vu-fisher-width-2026]] — Fisher Width: 统计流形上的几何复杂度度量
 - [[wan-streamer]] — Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
@@ -1151,6 +1307,7 @@
 
 ## Articles
 
+- [[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
 - [[atlas-agent-memory-architecture-2026]] — Atlas Agent 记忆系统架构（2026）
 - [[caddy-reverse-proxy-auth]] — Caddy 反向代理认证方案
 - [[cantor-stole-infinity]] — 窃取无穷的数学家 — 康托尔与狄德金的隐秘合作
@@ -1169,11 +1326,15 @@
 - [[nobrega-ai-production-tradeoffs-2026]] — AI 工程师的 6 种生产权衡
 - [[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
 - [[pydantic-three-piece-suite]] — Pydantic 三件套：从校验库到 AI 基础设施
 - [[qifu-llm-finance-practice]] — 金融行业大模型落地实践：从知识工程到后训练部署
 - [[ramsey-context-construction]] — 上下文构造与拉姆齐数
+- [[real-world-safe-exploration-see-2026]] — 真机强化学习的安全探索均衡 — 机器之心报道
+- [[semantic-robustness-cert-vlm-report-2026]] — 面向视觉语言模型的语义鲁棒性认证：用文本提示刻画可证的语义变化区间
 - [[temporal-patch-shuffle-tps]] — 时序预测增强方法综述：从频域到 TPS
 - [[ultradata-l3-open-source-2026]] — UltraData：面壁智能L3数据开源与数据分级治理体系
+- [[zleap-workspace-harness-2026]] — Zleap-Agent：Workspace-first 的 Agent Harness 设计
 
 ## Special Pages
 
@@ -1203,6 +1364,7 @@
 - [[dead-directions-20260610]] — Review: Dead Directions — Geometric Singular Learning
 - [[delegate52-review-20260514]] — DELEGATE-52 Review
 - [[distributed-agent-cache-sync-review]] — Review: 分布式Agent缓存同步
+- [[DSpark-review-20260628]] — Review: DSpark — Confidence-Scheduled Speculative Decoding with Semi-Autoregress
 - [[dynamic-react-review-20260619]] — Dynamic ReAct Review
 - [[elf-embedded-language-flows-review-20260513]] — Review: ELF — Embedded Language Flows
 - [[engram-conditional-memory-20260625]] — Engram Review — 条件记忆作为 Transformer 的新稀疏轴
@@ -1212,12 +1374,14 @@
 - [[gan-tnt-review-20260618]] — Review: Thinking-Based Non-Thinking (TNT)
 - [[geometric-sae-review-20260617]] — Geometric SAE 论文集成 Review
 - [[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
 - [[jordan-collectivist-ai-review-20260621]] — Review: A Collectivist, Economic Perspective on AI
 - [[koopa-review-20260511]] — Review: Koopa — Koopman 预测器驱动的非平稳时序学习
 - [[kore-review-20260521]] — KORE Review
 - [[large-language-gibbs-2026-06-25]] — Large Language Gibbs Review
 - [[latent-cot-supervision-2026-06-25]] — Latent CoT Supervision Review
+- [[leap-review-20260703]] — LEAP Review
 - [[lecun-llm-20260608]] — Review: LeCun 论 LLM 的边界与未来架构
 - [[leworldmodel-20260608]] — Review: LeWorldModel (arXiv:2603.19312)
 - [[life-harness-review-20260611]] — Life-Harness — Runtime Harness Adaptation 论文 Review
@@ -1249,12 +1413,17 @@
 - [[pydantic-three-piece-review-20260610]] — Pydantic 三件套 Review — 从校验库到 AI 基础设施
 - [[ramsey-context-construction-review-20260511]] — Review: 上下文构造与拉姆齐数
 - [[ramsey-numbers-survey-review-20260511]] — Review: 拉姆齐数的数学综述
+- [[ramsey-sphere-lowerbound-review-20260629]] — Ramsey 下界指数改进 — Review
 - [[relu-neuromanifolds-20260610]] — Review: ReLU Neuromanifolds — Fibers and Semi-algebraicity
 - [[repmt-sac-review-20260617]] — RepMT-SAC 论文集成 Review
+- [[rubrics-survey-review-2026-06-27]] — Rubrics Survey Review
 - [[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
 - [[skills-to-genes-review-20260614]] — Skills to Strategy Genes — Review 报告
 - [[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
 - [[tarpo-review-20260617]] — TARPO 论文集成 Review
 - [[tba-review-20260512]] — TBA Review — 2026-05-12
 - [[thinking-with-visual-primitives-review-20260430]] — Review — Thinking with Visual Primitives
@@ -1263,6 +1432,7 @@
 - [[toolcua-review-20260531]] — ToolCUA Review: GUI-Tool路径编排的概念网络分析
 - [[ultradata-l3-review]] — Review: UltraData — 大模型数据分级治理的开源实践
 - [[unlimited-ocr-works-20260624]] — Review: Unlimited OCR Works
+- [[verification-horizon-review-20260702]] — Review: The Verification Horizon
 - [[vla-jepa-20260624]] — Review: VLA-JEPA
 - [[wan-streamer-2026-06-25]] — Wan-Streamer v0.1 Review
 - [[weighted-uat-review-20260617]] — Weighted UAT 论文集成 Review