20260601

index.md

@@ -1,350 +1,553 @@
 # LLM Wiki
 
 > 知识索引页面 — 自动生成
-> 最后更新：2026-05-15 | 总页面数：335
+> 最后更新：2026-05-31 | 总页面数：528
 
 ## Concepts
 
-- [[adaptive-computation-time]] — 根据输入难度动态调整计算量的技术族（ACT, PonderNet 等）
-- [[additive-combinatorics]]
-- [[agent-communication-stack]]
-- [[agent-mediated-deception]]
-- [[agent-network-memory-scope]]
-- [[agent-network-taxonomy]]
-- [[agent-network-topology]]
-- [[agent-network-update-behavior]]
-- [[agentic-systems]]
-- [[ai-agent-security]]
-- [[ai-alignment]]
-- [[ai-mathematics]]
-- [[ai-safety]]
-- [[analytical-report-synthesizer]] — LLM 驱动的预测结果→分析报告自动生成器
-- [[api-key-authentication]]
-- [[attention-entropy-collapse]]
-- [[attention-sinks]]
-- [[automated-theorem-proving]]
-- [[backtranslation-round-trip-relay]] — 回译接力：通过可逆编辑链评估 LLM 文档编辑保真度
-- [[base-table-embedding]] — DIME 第一阶段：双路径编码捕获表内语义
-- [[behrouz-memory-caching-rnn]]
-- [[bidirectional-trajectory-evaluation]]
-- [[bpf-syscall-interception]]
-- [[cache-health-observability]]
-- [[cache-hit-ratio]]
-- [[cache-invalidation]]
-- [[cache-safe-forking]]
-- [[caddy-reverse-proxy-auth]]
-- [[caddy-web-server]]
-- [[cel-shading-style]]
-- [[centralized-agent-architecture]]
-- [[certainty-based-loss]] — 通过 argmin(loss) + argmax(certainty) 双 tick 选择实现原生自适应计算
-- [[certainty-based-rewards]]
-- [[chain-of-thought]]
-- [[chaitin-algorithmic-information-theory]]
-- [[chaitin-constant]]
-- [[cl-bench-life]]
-- [[classifier-free-guidance-language]] — CFG 在语言扩散模型中的应用
-- [[clawless]]
-- [[clawless-ai-agent-security]]
-- [[coarse-grained-counting]]
-- [[cognitive-architecture]]
-- [[completeness-logic]]
-- [[composable-base-model-architecture]] — 基础模型池 + 共享组件的可组合建模框架
-- [[compressed-sparse-attention]]
-- [[computability-theory]]
-- [[computerized-adaptive-testing]]
-- [[conditional-model-dispatcher]] — ZCP + 历史 EMA 驱动的模型选择与条件增强调度器
-- [[confidence-correctness-alignment]]
-- [[consistency-logic]]
-- [[context-blue-clique]]
-- [[context-compression]]
-- [[context-learning]]
-- [[context-misuse]]
-- [[continuous-diffusion-language-models]] — 连续嵌入空间中的扩散语言模型
-- [[continuous-thought-machine]] — CTM：以神经时序动态和同步为核心计算原理的新架构
-- [[continuum-hypothesis]]
-- [[cramer-rao-lower-bound]]
-- [[crawl4ai]]
-- [[crawl4ai-open-source-web-crawler]]
-- [[critical-failures]] — 关键失败：稀疏但严重的错误解释了约80%的文档退化
-- [[curvine-distributed-cache]]
-- [[darlow-ctm-2025]] — CTM: 以神经同步为表示的持续思考机器 (NeurIPS 2025)
-- [[darwin-godel-machine]]
-- [[data-slice]] — 任务特定的关系数据库子集，DIME 的核心数据对象
-- [[decentralized-agent-architecture]]
-- [[deepseek-v4-flash]]
-- [[deepseek-v4-million-token-context]]
-- [[deepseek-vit]]
-- [[delegate-52]] — Microsoft 基准：310工作环境 × 52专业领域，评估LLM委托工作就绪性
-- [[delegated-work]] — 委托工作：新兴LLM交互范式，用户监督模型代其完成任务
-- [[depth-scaling-signal-degradation]]
-- [[diagonal-ramsey-number]]
-- [[diagonalization-method]]
-- [[dime-dynamic-in-database-modeling-engine]] — DIME：NeurIDA 的核心动态建模引擎
-- [[discrete-diffusion-language-models]] — 离散 token 空间中的扩散语言模型
-- [[distractor-context]] — 干扰上下文：话题相关但无需编辑的文档，模拟不完美检索精度
-- [[document-degradation]] — 文档退化：LLM在长委托工作流中静默破坏文档内容的现象
-- [[domain-knowledge-reasoning]]
-- [[domain-specific-evaluation]] — 领域特定评估：每个领域自定义解析器和语义等价评分的评估方法
-- [[dou-cl-bench]]
-- [[duo-attention]]
-- [[dynamic-in-database-modeling]] — 从共享组件在查询时装配定制模型的新范式
-- [[dynamic-mode-decomposition]]
-- [[dynamic-model-fusion]] — 上下文感知的选择性关系融合模块
-- [[dynamic-relation-modeling]] — 跨表关系结构感知的消息传递
-- [[elf-embedded-language-flows]] — ELF: 连续嵌入空间中的 Flow Matching 语言扩散模型 (2026)
-- [[embedded-language-flows]] — ELF: 连续嵌入流匹配语言模型
-- [[eml-operator]]
-- [[empirical-discovery-simulation]]
-- [[ensemble-based-rewards]]
-- [[evolutionary-algorithms]]
-- [[exponential-decay-reward]]
-- [[few-shot-learning]]
-- [[fine-grained-counting]]
-- [[flash-attention]]
-- [[flash-attention-3]]
-- [[flow-matching]] — 连续时间流匹配生成框架
-- [[formal-security-model]]
-- [[formal-systems]]
-- [[formal-verification]]
-- [[forward-authentication]]
-- [[fourier-filter-dynamics]]
-- [[fp4-quantization-training]]
-- [[furstenberg-correspondence]]
-- [[generation-verification-asymmetry]]
-- [[generative-perplexity]] — 基于第三方模型评估生成质量的指标
-- [[genetic-programming]]
-- [[geometric-ramsey-theory]]
-- [[glitch-art-style]]
-- [[godel-incompleteness-theorems]]
-- [[godel-incompleteness-tutorial]]
-- [[godel-numbering]]
-- [[goodsteins-theorem]]
-- [[gpt-image2]]
-- [[gpt-image2-prompt-collection]]
-- [[gravitino-unified-metadata]]
-- [[greedy-context-screening]]
-- [[green-tao-theorem]]
-- [[group-relative-policy-optimization]]
-- [[grouped-query-attention]]
-- [[halftone-print-style]]
-- [[halting-problem]]
-- [[he-urlvr-sharpening-2026]]
-- [[heavily-compressed-attention]]
-- [[hilberts-program]]
-- [[human-agent-trust]]
-- [[human-centered-ai]]
-- [[hunyuan-team-cl-bench-life]]
-- [[hybrid-attention-architecture]]
-- [[hyperagents]]
-- [[hypergraph-ramsey-number]]
-- [[identity-reference-resolution]]
-- [[image-generation-prompt-design]]
-- [[in-database-analytics]] — 在 DBMS 内部直接执行 ML/分析任务的方法论
-- [[internal-ticks]] — 与数据维度解耦的内部时序，CTM 的「思考步骤」展开维度
-- [[internal-world-model]] — agent 内部构建的环境表征，在 CTM 迷宫任务中涌现
-- [[intrinsic-rewards-sharpening]]
-- [[jagged-frontier]] — 锯齿前沿：AI模型能力在不同领域间不均衡、不可预测的分布
-- [[klein-blue]]
-- [[knowledge-bank]]
-- [[kolmogorov-complexity]]
-- [[koopman-autoencoder]]
-- [[koopman-predictor]]
-- [[koopman-theory]]
-- [[kv-cache-bottleneck]]
-- [[kvcache-transfer]]
-- [[laban-llms-corrupt-documents-delegate]] — "LLMs Corrupt Your Documents When You Delegate" — DELEGATE-52
-- [[length-extrapolation]] — 长度外推：让 LLM 处理超出预训练窗口的序列长度
-- [[li-amd-human-perception]]
-- [[linear-attention-methods]]
-- [[liu-koopa-2023]]
-- [[llm-applications]]
-- [[llm-attention-survey-2026]]
-- [[llm-evaluation-benchmarks]]
-- [[log]] — 变更日志
-- [[long-context-understanding]]
-- [[long-horizon-evaluation]] — 长视界评估：通过延长交互揭示短评估中不可见的退化模式
-- [[lost-in-the-middle]]
-- [[lovasz-local-lemma]]
-- [[lucas-penrose-argument]]
-- [[mamba-ssm]]
-- [[manifold-constrained-hyper-connections]]
-- [[mathematical-pluralism]]
-- [[maze-navigation]]
-- [[memory-caching-rnn]]
-- [[messy-context-reasoning]]
-- [[meta-jctrader]]
-- [[meta-learning]]
-- [[metacognitive-self-modification]]
-- [[metamathematics]]
-- [[million-token-context]]
-- [[mixture-of-attention-schemes]]
-- [[mixture-of-depths-attention]]
-- [[mixture-of-experts]]
-- [[model-collapse-step]]
-- [[multi-head-attention]]
-- [[multi-head-latent-attention]]
-- [[multi-query-attention]]
-- [[multi-token-prediction]]
-- [[multimodal-large-language-model]]
-- [[muon-optimizer]]
-- [[native-sparse-attention]]
-- [[neural-synchronization]] — 将神经元激活历史的时序相关性直接用作潜在表示
-- [[neurida]] — Neural In-Database Analytics：自主端到端库内分析系统
-- [[neuron-level-models]] — 每个神经元拥有私有参数的 MLP，替代统一激活函数
-- [[neuron-pairing]] — 对 O(D²) 同步矩阵的子采样策略，用于效率与表达力平衡
-- [[neuroscience]]
-- [[nikolopoulos-spurious-predictability]]
-- [[non-stationary-time-series]]
-- [[ntk-aware-interpolation]]
-- [[odrzywolek-eml-single-operator]]
-- [[on-policy-distillation]]
-- [[oppo-multimodal-data-lake]]
-- [[paley-graph]]
-- [[paris-harrington-theorem]]
-- [[path-tracing]]
-- [[peano-arithmetic]]
-- [[perception-gap]]
-- [[pre-activation-history]] — 每个神经元维护的滚动前激活缓冲区，NLM 的输入
-- [[prefill-as-a-service]]
-- [[prefill-decode-disaggregation]]
-- [[prefix-matching]]
-- [[primitive-recursive-functions]]
-- [[probabilistic-method]]
-- [[procedural-task-execution]]
-- [[program-synthesis]]
-- [[prompt-caching]]
-- [[prompt-caching-architecture]]
-- [[prompt-layering]]
-- [[prompt-reverse-engineering]]
-- [[qin-prfaas-cross-datacenter]]
-- [[query-intent-analyzer]] — LLM 驱动的 NLQ 解析器，输出结构化任务/数据画像
-- [[rag-systems]]
-- [[ramsey-context-cache]]
-- [[ramsey-context-construction]]
-- [[ramsey-context-graph]]
-- [[ramsey-context-template]]
-- [[ramsey-numbers]]
-- [[ramsey-numbers-survey]]
-- [[ramsey-theory]]
-- [[ramsey-theory-applications]]
-- [[random-graph-theory]]
-- [[README]] — Wiki 说明
-- [[real-life-context-learning]]
-- [[rectified-flows]] — Flow Matching 中的直线插值路径
-- [[recursive-self-improvement]]
-- [[reference-gap]]
-- [[reinforcement-learning-trading]]
-- [[relational-graph]] — 以 FK-PK 为边的元组图，关系建模的数据结构基础
-- [[reverse-proxy-authentication]]
-- [[reward-hacking-llm]]
-- [[reward-model]]
-- [[risograph-print-style]]
-- [[rlvr-unified-framework]]
-- [[rolling-kv-cache]] — 滚动 KV 缓存：StreamingLLM 的两段式固定大小缓存机制
-- [[rotary-position-embedding]]
-- [[round-trip-reconstruction-score]] — RS@k：衡量k次交互后文档重建质量的评估指标
-- [[rule-system-application]]
-- [[russells-paradox]]
-- [[russian-constructivism]]
-- [[SCHEMA]] — Wiki 结构规范
-- [[sde-sampler-language]] — 语言扩散中的随机微分方程采样器
-- [[secure-containers]]
-- [[seer-attention]]
-- [[self-conditioning]] — 用自身中间预测作为条件的扩散技术
-- [[self-improving-ai]]
-- [[self-reference]]
-- [[self-verification-rewards]]
-- [[semantic-equivalence]] — 语义等价：通过领域特定解析器衡量文档间语义等价程度的方法
-- [[shared-weight-discretization]] — ELF 的共享权重去噪-解码机制
-- [[singularity]]
-- [[sink-token]] — 可学习汇 Token：预训练时添加专用 Token 作为唯一注意力汇
-- [[softmax-off-by-one]] — SoftMax₁：允许丢弃多余注意力的 SoftMax 变体
-- [[song-agent-network-taxonomy]]
-- [[sparse-attention-patterns]]
-- [[specialist-training-pipeline]]
-- [[specialized-rl]]
-- [[specialized-sft]]
-- [[spiking-neural-networks]] — 使用离散脉冲和事件驱动计算的生物启发神经网络
-- [[spurious-predictability]]
-- [[streaming-llm]] — StreamingLLM: 基于注意力汇的无限长流式语言模型推理框架 (ICLR 2024)
-- [[stub-pattern]]
-- [[subquadratic-transformer-alternatives]]
-- [[symbolic-regression]]
-- [[synapse-model]] — CTM 的 U-Net 风格循环突触结构，神经元间信息共享引擎
-- [[system-2-thinking]]
-- [[system-message-abuse]]
-- [[szemerédi-regularity-lemma]]
-- [[tabular-foundation-models]] — 大规模表格数据预训练的基础模型（TabPFN, TabICL 等）
-- [[tao-klowden-ai-mathematical-methods]]
-- [[temporal-decay-neural]] — 每对神经元可学习的指数衰减参数，控制同步的时间尺度
-- [[test-time-scaling]]
-- [[test-time-training-rl]]
-- [[thinking-with-visual-primitives]]
-- [[time-variant-dynamics]]
-- [[token-efficiency]]
-- [[tool-registry]]
-- [[transfer-learning]]
-- [[unified-rft]]
-- [[unsupervised-rlvr]]
-- [[userspace-kernel]]
-- [[van-der-waerden-theorem]]
-- [[visual-primitives]]
-- [[window-attention]] — 窗口注意力：仅缓存最近 Token 的朴素方案，因驱逐注意力汇而崩溃
-- [[worst-case-threat-model]]
-- [[x-prediction-parameterization]] — Flow Matching 中直接预测干净数据的参数化
-- [[xing-trails-2024]] — Trails: 数据库原生的深度神经网络模型选择 (VLDB 2024)
-- [[zeng-dynamic-model-slicing-2024]] — 数据库内的动态模型切片技术 (VLDB 2024)
-- [[zeng-neurida-2025]] — NeurIDA: 动态库内建模实现有效的关系数据库分析
-- [[zero-cost-proxies]] — 无需完整训练即可估计模型性能的 NAS 技术
-- [[zhang-hyperagents]]
-- [[zhao-neurdb-2025]] — NeurDB: AI 驱动的自主数据库 (CIDR 2025)
-- [[zhu-moda-mixture-of-depths]]
+- [[action-applicability]] — Action Applicability (动作合法性判定)
+- [[active-cache-warmup]] — Active Cache Warm-up (主动缓存预热)
+- [[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）
+- [[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）
+- [[agent-computer-interface]] — Agent-Computer Interface (ACI)
+- [[agent-eval-case-design]] — Agent Eval Case Design
+- [[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-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-engineering]] — Agent Harness Engineering（Agent 执行骨架工程）
+- [[agent-harness-mini]] — Mini Agent Harness
+- [[agent-mediated-deception]] — 代理中介欺骗 (Agent-Mediated Deception)
+- [[agent-multidimensional-capability]] — Agent Multidimensional Capability（Agent 多维能力）
+- [[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
+- [[agent-network-update-behavior]] — Agent网络更新行为
+- [[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-safety-evaluation]] — Agent Safety Evaluation（Agent 安全评测）
+- [[agent-sandbox]] — Agent Sandbox（Agent 沙箱）
+- [[agent-symbolic-learning]] — Agent Symbolic Learning (Agent 符号学习)
+- [[agent-verification]] — Agent Verification（Agent 验证与评估）
+- [[agentic-systems]] — Agentic Systems（智能体系统）
+- [[ai-agent-security]] — AI代理安全
+- [[ai-alignment]] — AI Alignment (AI对齐)
+- [[ai-mathematics]] — AI and Mathematics (AI 与数学)
+- [[ai-safety]] — AI Safety (AI安全)
+- [[amortized-variational-inference]] — Amortized Variational Inference（摊销变分推断）
+- [[analytical-report-synthesizer]] — Analytical Report Synthesizer
+- [[anthropic-agent-evals]] — Anthropic Agent Evals
+- [[api-key-authentication]] — API Key 认证 (API Key Authentication)
+- [[asynchronous-rl-llm]] — 异步强化学习与大语言模型后训练
+- [[attention-entropy-collapse]] — 注意力熵崩溃 (Attention Entropy Collapse)
+- [[attention-sinks]] — 注意力汇 (Attention Sinks)
+- [[autoharness]] — AutoHarness
+- [[automated-theorem-proving]] — 自动定理证明 (Automated Theorem Proving, ATP)
+- [[backtranslation-round-trip-relay]] — Backtranslation Round-Trip Relay
+- [[base-table-embedding]] — Base Table Embedding
+- [[bayesian-attention-geometry]] — Bayesian Attention Geometry (贝叶斯注意力几何)
+- [[bayesian-attention-trilogy]] — Bayesian Attention Trilogy
+- [[bayesian-wind-tunnels]] — Bayesian Wind Tunnels
+- [[belief-accumulation]] — Belief Accumulation (信念累积)
+- [[belief-transport]] — Belief Transport (信念传输)
+- [[bidirectional-trajectory-evaluation]] — 双向轨迹评估 (Bidirectional Trajectory Evaluation)
+- [[binding-constraint-thesis]] — Binding-Constraint Thesis（约束瓶颈论）
+- [[bpf-syscall-interception]] — BPF系统调用拦截
+- [[bypass-network-handle-distribution]] — Bypass Network Handle Distribution (旁路网络句柄分发)
+- [[cache-cold-start]] — Cache Cold-Start (缓存冷启动)
+- [[cache-health-observability]] — Cache Health Observability（缓存健康度可观测性）
+- [[cache-hit-ratio]] — Cache Hit Ratio (CHR)
+- [[cache-invalidation]] — Cache Invalidation（缓存失效）
+- [[cache-safe-forking]] — Cache-Safe Forking（缓存安全分叉）
+- [[caddy-web-server]] — Caddy Web Server
+- [[capability-control-tradeoff]] — Capability-Control Tradeoff（能力-控制权衡）
+- [[capability-degradation]] — 能力退化 (Capability Degradation)
+- [[cel-shading-style]] — 赛璐璐风格 (Cel-Shading)
+- [[centralized-agent-architecture]] — 集中式Agent架构
+- [[certainty-based-loss]] — Certainty-Based Loss
+- [[certainty-based-rewards]] — 确定性奖励 (Certainty-Based Rewards)
+- [[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)
+- [[cl-bench-life]] — CL-Bench Life
+- [[classifier-free-guidance-language]] — Classifier-Free Guidance for Language
+- [[clawless]] — ClawLess
+- [[coarse-grained-counting]] — 粗粒度计数 (Coarse-grained Counting)
+- [[coarse-to-fine-granularity]] — Coarse-to-Fine Granularity
+- [[code-as-harness]] — Code as Harness
+- [[cognitive-architecture]] — Cognitive Architecture (认知架构)
+- [[compiled-ai-paradigm]] — Compiled AI Paradigm (编译型 AI 范式)
+- [[completeness-logic]] — 完备性 (Completeness, 逻辑学)
+- [[composable-base-model-architecture]] — Composable Base Model Architecture
+- [[compressed-sparse-attention]] — Compressed Sparse Attention (CSA)
+- [[computability-theory]] — 可计算性理论 (Computability Theory)
+- [[computer-use-agents]] — Computer Use Agents (CUAs)
+- [[computerized-adaptive-testing]] — Computerized Adaptive Testing (CAT)
+- [[conditional-model-dispatcher]] — Conditional Model Dispatcher
+- [[confidence-correctness-alignment]] — 置信度-正确性对齐 (Confidence-Correctness Alignment)
+- [[consistency-logic]] — 一致性 (Consistency, 逻辑学)
+- [[context-blue-clique]] — Context Blue Clique（上下文蓝色团）
+- [[context-compression]] — Context Compression（上下文压缩）
+- [[context-drift]] — Context Drift（上下文漂移）
+- [[context-engineering]] — Context Engineering（上下文工程）
+- [[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-pruning]] — Context Pruning (上下文剪枝)
+- [[context-state-estimation]] — Context as State Estimation（上下文作为状态估计）
+- [[continuous-diffusion-language-models]] — Continuous Diffusion Language Models
+- [[continuous-thought-machine]] — Continuous Thought Machine (CTM)
+- [[continuum-hypothesis]] — 连续统假设 (Continuum Hypothesis, CH)
+- [[controlled-autonomy]] — Controlled Autonomy (受控的自主性)
+- [[cost-quality-speed-trilemma]] — Cost-Quality-Speed Trilemma（成本-质量-速度三元悖论）
+- [[covariance-matrix]] — 协方差矩阵 (Covariance Matrix)
+- [[covariance-matrix-knowledge]] — 协方差矩阵知识存储 (Covariance Matrix Knowledge Storage)
+- [[cramer-rao-lower-bound]] — Cramér-Rao Lower Bound (CRLB)
+- [[crawl4ai]] — Crawl4AI
+- [[critical-failures]] — Critical Failures / 关键失败
+- [[curvine-distributed-cache]] — Curvine 云原生分布式缓存
+- [[darwin-godel-machine]] — Darwin Gödel Machine (达尔文·哥德尔机)
+- [[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-quality-over-scale]] — Data Quality over Scale (数据质量重于规模)
+- [[data-replay]] — 数据回放 (Data Replay)
+- [[data-slice]] — Data Slice
+- [[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-thinking-sft]] — Deep-Thinking SFT (深思考SFT数据)
+- [[deepseek-v4-flash]] — DeepSeek-V4-Flash
+- [[deepseek-vit]] — DeepSeek-ViT
+- [[delegate-52]] — DELEGATE-52
+- [[delegated-work]] — Delegated Work / 委托工作
+- [[depth-scaling-signal-degradation]] — LLM 深度扩展与信号退化
+- [[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）
+- [[diagonalization-method]] — 对角线方法 (Diagonalization Method)
+- [[dime-dynamic-in-database-modeling-engine]] — DIME (Dynamic In-Database Modeling Engine)
+- [[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)
+- [[distributed-optimistic-locking]] — Distributed Optimistic Locking (分布式乐观锁)
+- [[distributed-prompt-caching]] — Distributed Prompt Caching (分布式提示词缓存)
+- [[distribution-shift]] — Distribution Shift（分布偏移）
+- [[document-degradation]] — Document Degradation / 文档退化
+- [[domain-knowledge-reasoning]] — 领域知识推理 (Domain Knowledge Reasoning)
+- [[domain-specific-evaluation]] — Domain-Specific Evaluation / 领域特定评估
+- [[dominant-shuffle]] — Dominant Shuffle
+- [[dqw]] — Difficulty-Aware Question-Level Weighting (DQW)
+- [[dual-layer-rl]] — Dual-Layer RL (双层强化学习)
+- [[dual-space-rl]] — Dual Space RL (DSRL)
+- [[duo-attention]] — DuoAttention
+- [[dynamic-in-database-modeling]] — Dynamic In-Database Modeling
+- [[dynamic-mode-decomposition]] — Dynamic Mode Decomposition (DMD)
+- [[dynamic-model-fusion]] — Dynamic Model Fusion
+- [[dynamic-relation-modeling]] — Dynamic Relation Modeling
+- [[embedded-language-flows]] — Embedded Language Flows (ELF)
+- [[eml-operator]] — EML 算子 (Exp-Minus-Log)
+- [[empirical-discovery-simulation]] — 经验发现与模拟 (Empirical Discovery & Simulation)
+- [[endogenous-reasoning]] — Endogenous Reasoning（内生推理）
+- [[ensemble-based-rewards]] — 集成奖励 (Ensemble-Based Rewards)
+- [[etclovg-taxonomy]] — ETCLOVG 七层分类法
+- [[evolutionary-algorithms]] — Evolutionary Algorithms (进化算法)
+- [[evolving-knowledge-injection]] — 进化知识注入 (Evolving Knowledge Injection)
+- [[execution-environment]] — Execution Environment（执行环境与沙箱）
+- [[exponential-decay-reward]] — 指数衰减奖励 (Exponential Decay Reward)
+- [[few-shot-learning]] — Few-Shot Learning (少样本学习)
+- [[fine-grained-counting]] — 细粒度计数 (Fine-grained Counting)
+- [[flash-attention]] — FlashAttention
+- [[flash-attention-3]] — FlashAttention-3
+- [[flow-matching]] — Flow Matching
+- [[forecasting-augmentation-taxonomy]] — Forecasting Augmentation Taxonomy
+- [[formal-security-model]] — 形式化安全模型
+- [[formal-systems]] — 形式系统 (Formal System)
+- [[formal-verification]] — Formal Verification (形式化验证)
+- [[forward-authentication]] — 外部认证委托 (Forward Authentication)
+- [[fourier-filter-dynamics]] — Fourier Filter for Dynamics（Fourier Filter 动力学分解）
+- [[fp4-quantization-training]] — FP4 Quantization-Aware Training
+- [[freqmask-freqmix]] — FreqMask / FreqMix
+- [[furstenberg-correspondence]] — Furstenberg Correspondence Principle
+- [[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
+- [[genetic-programming]] — Genetic Programming (遗传编程)
+- [[geometric-ramsey-theory]] — Geometric Ramsey Theory（几何拉姆齐理论）
+- [[gflownet-fine-tuning]] — GFlowNet 微调
+- [[glitch-art-style]] — 故障艺术 (Glitch Art)
+- [[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)
+- [[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）
+- [[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
+- [[group-relative-policy-optimization]] — 群体相对策略优化 (GRPO)
+- [[grouped-query-attention]] — Grouped-Query Attention (GQA)
+- [[grpo]] — Group Relative Policy Optimization (GRPO)
+- [[gui-tool-hybrid-action-space]] — GUI-Tool Hybrid Action Space
+- [[halftone-print-style]] — 半调印刷风格 (Halftone Print Style)
+- [[halting-problem]] — 停机问题 (Halting Problem)
+- [[hardening-execution-environments]] — Hardening Execution Environments（硬化执行环境）
+- [[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）
+- [[harness-engineering]] — Harness Engineering
+- [[hars]] — HARS（调和适应保留评分）
+- [[heavily-compressed-attention]] — Heavily Compressed Attention (HCA)
+- [[held-out-validation-gate]] — Held-Out Validation Gate (留出验证门)
+- [[heuristic-learning]] — Heuristic Learning (启发式学习)
+- [[hilberts-program]] — 希尔伯特计划 (Hilbert's Program)
+- [[human-agent-trust]] — 人机信任 (Human-Agent Trust)
+- [[human-centered-ai]] — Human-Centered AI (以人类为中心的 AI)
+- [[hybrid-attention-architecture]] — Hybrid Attention Architecture
+- [[hyperagents]] — Hyperagents (超智能体)
+- [[hypergraph-ramsey-number]] — Hypergraph Ramsey Number（超图拉姆齐数）
+- [[identity-reference-resolution]] — 身份指代消解 (Identity Reference Resolution)
+- [[image-generation-prompt-design]] — 图像生成 Prompt 设计
+- [[in-database-analytics]] — In-Database Analytics
+- [[inference-primitives]] — Inference Primitives (推理原语)
+- [[inference-time-scaling]] — Inference-Time Scaling（推理时扩展）
+- [[input-superposition]] — Input Superposition
+- [[interleaved-gui-tool-trajectory-scaling]] — Interleaved GUI-Tool Trajectory Scaling Pipeline
+- [[internal-ticks]] — Internal Ticks
+- [[internal-world-model]] — Internal World Model
+- [[intrinsic-rewards-sharpening]] — 内在奖励锐化机制 (Intrinsic Rewards Sharpening)
+- [[iterative-code-refinement]] — Iterative Code Refinement (迭代代码精炼)
+- [[jagged-frontier]] — Jagged Frontier / 锯齿前沿
+- [[klein-blue]] — 克莱因蓝 (Klein Blue / IKB)
+- [[knowledge-adaptation]] — 知识适应 (Knowledge Adaptation)
+- [[knowledge-agnostic-augmentation]] — 知识无关增强 (Knowledge-Agnostic Augmentation)
+- [[knowledge-aware-augmentation]] — 知识感知增强 (Knowledge-Aware Augmentation)
+- [[knowledge-bank]] — Knowledge Bank — AI 辅助开发时代的知识管理系统
+- [[knowledge-internalization]] — 知识内化 (Knowledge Internalization)
+- [[knowledge-retention]] — 知识保留 (Knowledge Retention)
+- [[knowledge-tree]] — 知识树 (Knowledge Tree)
+- [[kolmogorov-complexity]] — 柯尔莫哥洛夫复杂度 (Kolmogorov Complexity)
+- [[koopman-autoencoder]] — Koopman Autoencoder (KAE)
+- [[koopman-predictor]] — Koopman Predictor（Koopman 预测器）
+- [[koopman-theory]] — Koopman Theory（Koopman 理论）
+- [[kore-augmentation]] — KORE-AUGMENTATION（知识导向增强）
+- [[kore-constraint]] — KORE-CONSTRAINT（知识导向约束）
+- [[kv-cache-bottleneck]] — KV 缓存内存瓶颈
+- [[kvcache-transfer]] — KVCache 传输与优化
+- [[language-gradient]] — Language Gradient (语言梯度)
+- [[language-loss]] — Language Loss (语言损失)
+- [[latent-variable-generative-model]] — Latent-Variable Generative Model（潜在变量生成模型）
+- [[length-extrapolation]] — 长度外推 (Length Extrapolation)
+- [[lifecycle-orchestration]] — Lifecycle & Orchestration（生命周期与编排）
+- [[linear-attention-methods]] — 线性注意力方法 (Linear Attention Methods)
+- [[llm-applications]] — LLM 应用
+- [[llm-evaluation-benchmarks]] — LLM 评测基准体系
+- [[long-context-understanding]] — 长上下文理解 (Long-Context Understanding)
+- [[long-horizon-evaluation]] — Long-Horizon Evaluation / 长视界评估
+- [[lost-in-the-middle]] — Lost in the Middle
+- [[lovasz-local-lemma]] — Lovász Local Lemma
+- [[lucas-penrose-argument]] — 卢卡斯-彭罗斯论证 (Lucas-Penrose Argument)
+- [[mamba-ssm]] — Mamba (State Space Model)
+- [[manifold-constrained-hyper-connections]] — Manifold-Constrained Hyper-Connections (mHC)
+- [[math-question-reformulation]] — 数学问题多维度改写
+- [[mathematical-pluralism]] — 数学多元主义 (Mathematical Pluralism)
+- [[mathforge]] — MathForge 框架
+- [[maze-navigation]] — 迷宫导航 (Maze Navigation)
+- [[memory-caching-rnn]] — Memory Caching (MC)
+- [[messy-context-reasoning]] — 混乱上下文推理 (Messy Context Reasoning)
+- [[meta-jctrader]] — Meta-JCTrader
+- [[meta-learning]] — Meta-Learning (元学习)
+- [[metacognitive-self-modification]] — Metacognitive Self-Modification (元认知自我修改)
+- [[metamathematics]] — 元数学 (Metamathematics)
+- [[million-token-context]] — Million-Token Context
+- [[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)
+- [[mme-voke]] — MMEVOKE
+- [[model-collapse-step]] — 模型崩溃步 (Model Collapse Step, MCS)
+- [[model-harness-relationship]] — Model-Harness Relationship (模型与Harness关系)
+- [[moe-lora]] — MoELoRA
+- [[mqr]] — Multi-Aspect Question Reformulation (MQR)
+- [[multi-agent-orchestration]] — Multi-Agent Orchestration（多 Agent 编排）
+- [[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-query-attention]] — Multi-Query Attention (MQA)
+- [[multi-solution-recovery]] — Multi-Solution Recovery（多解恢复）
+- [[multi-token-prediction]] — Multi-Token Prediction (MTP)
+- [[multi-trajectory-inference]] — Multi-Trajectory Inference（多轨迹推理）
+- [[multimodal-large-language-model]] — 多模态大语言模型 (MLLM)
+- [[multimodal-rag]] — 多模态 RAG (Multimodal RAG)
+- [[muon-optimizer]] — Muon Optimizer
+- [[native-sparse-attention]] — Native Sparse Attention (NSA)
+- [[negative-sample-reinforcement]] — Negative Sample Reinforcement (NSR)
+- [[neural-synchronization]] — Neural Synchronization as Representation
+- [[neurida]] — NeurIDA
+- [[neuron-level-models]] — Neuron-Level Models (NLMs)
+- [[neuron-pairing]] — Neuron Pairing
+- [[neuroscience]] — Neuroscience (神经科学)
+- [[next-state-grounding]] — Next-State Grounding
+- [[non-stationary-time-series]] — Non-stationary Time Series（非平稳时间序列）
+- [[ntk-aware-interpolation]] — NTK-aware 位置编码插值
+- [[null-space]] — 零空间 (Null Space)
+- [[null-space-projection-knowledge]] — 零空间投影知识保留 (Null Space Projection for Knowledge Retention)
+- [[observability]] — Observability & Operations（可观测性与运维）
+- [[off-policy-llm-post-training]] — Off-Policy LLM 后训练
+- [[on-policy-distillation]] — On-Policy Distillation (OPD)
+- [[on-policy-learning-collapse]] — On-policy Learning Collapse
+- [[optimal-gui-tool-path-selection]] — Optimal GUI-Tool Path Selection
+- [[osworld-mcp]] — OSWorld-MCP Benchmark
+- [[paley-graph]] — Paley Graph
+- [[paris-harrington-theorem]] — Paris-Harrington Theorem（巴黎-哈灵顿定理）
+- [[pass-at-k-vs-pass-k]] — Pass@k vs Pass^k（能力上限 vs 可靠性下限）
+- [[path-tracing]] — 路径追踪 (Path Tracing)
+- [[peano-arithmetic]] — 皮亚诺算术 (Peano Arithmetic, PA)
+- [[perception-gap]] — 感知鸿沟 (Perception Gap)
+- [[policy-reincarnation]] — Policy Reincarnation
+- [[positive-sample-reinforcement]] — Positive Sample Reinforcement (PSR)
+- [[post-train-space-rl]] — Post-train Space Reinforcement Learning
+- [[practitioner-research-gap]] — Practitioner-Research Gap（从业者-研究鸿沟）
+- [[pre-activation-history]] — Pre-Activation History
+- [[pre-train-space-reinforcement-learning]] — Pre-train Space Reinforcement Learning (PreRL)
+- [[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）
+- [[primitive-completeness]] — Primitive Completeness (原语完备性)
+- [[primitive-recursive-functions]] — 原始递归函数 (Primitive Recursive Functions)
+- [[probabilistic-method]] — Probabilistic Method（概率方法）
+- [[procedural-task-execution]] — 程序性任务执行 (Procedural Task Execution)
+- [[program-synthesis]] — Program Synthesis (程序合成)
+- [[prompt-caching]] — Prompt Caching
+- [[prompt-layering]] — Prompt Layering（提示分层）
+- [[prompt-reverse-engineering]] — 图片反推 Prompt (Prompt Reverse Engineering)
+- [[prompt-to-harness-evolution]] — Prompt-to-Harness Evolution（三阶段工程演进）
+- [[query-intent-analyzer]] — Query Intent Analyzer
+- [[question-quality-vs-quantity]] — Question Quality vs. Quantity（问题质量 vs 数量）
+- [[rag-systems]] — RAG 系统
+- [[ramsey-context-cache]] — Ramsey Context Cache（拉姆齐上下文缓存）
+- [[ramsey-context-graph]] — Ramsey Context Graph（拉姆齐上下文图）
+- [[ramsey-context-template]] — Ramsey Context Template（拉姆齐上下文模板）
+- [[ramsey-numbers]] — Ramsey Numbers（拉姆齐数）
+- [[ramsey-theory]] — Ramsey Theory（拉姆齐理论）
+- [[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）
+- [[real-life-context-learning]] — 真实生活上下文学习 (Real-Life Context Learning)
+- [[rectified-flows]] — Rectified Flows
+- [[recursive-reasoning-models]] — Recursive Reasoning Models（递归推理模型）
+- [[recursive-self-improvement]] — Recursive Self-Improvement (递归自我改进)
+- [[reference-gap]] — 引用鸿沟 (Reference Gap)
+- [[reinforcement-learning-trading]] — Reinforcement Learning Trading（强化学习交易）
+- [[rejected-edit-buffer]] — Rejected-Edit Buffer (拒绝编辑缓冲)
+- [[relational-graph]] — Relational Graph
+- [[reliable-state-long-running-agents]] — Reliable State in Long-Running Agents（长期运行中的可靠状态）
+- [[replay-buffer-rl-llm]] — Replay Buffer 在 LLM RL 中的应用
+- [[representation-alignment]] — Representation Alignment
+- [[reverse-proxy-authentication]] — 反向代理认证 (Reverse Proxy Authentication)
+- [[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
+- [[risograph-print-style]] — Riso 印刷风格 (Risograph Print Style)
+- [[rlvr-unified-framework]] — RLVR 统一理论框架
+- [[rolling-kv-cache]] — 滚动 KV 缓存 (Rolling KV Cache)
+- [[rotary-position-embedding]] — 旋转位置编码 (RoPE)
+- [[round-trip-reconstruction-score]] — Round-Trip Reconstruction Score (RS@k)
+- [[rule-system-application]] — 规则系统应用 (Rule System Application)
+- [[russells-paradox]] — 罗素悖论 (Russell's Paradox)
+- [[russian-constructivism]] — 俄国构成主义 (Russian Constructivism)
+- [[s-token]] — S-Token (Superposed Token)
+- [[sde-sampler-language]] — SDE Sampler for Language Diffusion
+- [[searcher-trainer-decoupling]] — Searcher-Trainer 解耦架构
+- [[secure-containers]] — 安全容器
+- [[seer-attention]] — SeerAttention
+- [[self-conditioning]] — Self-Conditioning
+- [[self-evolving-agents]] — Self-Evolving Agents (自进化 Agent)
+- [[self-evolving-benchmark]] — 自进化基准 (Self-Evolving Benchmark)
+- [[self-improving-ai]] — Self-Improving AI (自我改进人工智能)
+- [[self-reference]] — 自指 (Self-Reference)
+- [[self-verification-rewards]] — 自我验证奖励 (Self-Verification Rewards)
+- [[semantic-equivalence]] — Semantic Equivalence / 语义等价
+- [[shadow-calling]] — Shadow Calling (影子调用)
+- [[shared-parameter-influence]] — Shared Parameter Influence
+- [[shared-weight-discretization]] — Shared-Weight Discretization
+- [[singularity]] — Singularity (奇点)
+- [[sink-token]] — 汇 Token (Sink Token)
+- [[skill-as-external-state]] — Skill as External State (Skill 作为外部状态)
+- [[skill-data-flywheel]] — Skill Data Flywheel (Skill 数据飞轮)
+- [[skill-ecosystem]] — Skill Ecosystem (Skill 生态系统)
+- [[skillopt]] — SkillOpt
+- [[slow-meta-update]] — Slow/Meta Update (慢/元更新)
+- [[softmax-off-by-one]] — SoftMax-off-by-One
+- [[sparse-attention-patterns]] — 稀疏注意力模式 (Sparse Attention Patterns)
+- [[specialist-training-pipeline]] — Specialist Training Pipeline
+- [[specialized-rl]] — 专项强化学习 (Specialized RL)
+- [[specialized-sft]] — 专项监督微调 (Specialized SFT)
+- [[spiking-neural-networks]] — Spiking Neural Networks (SNN)
+- [[spurious-predictability]] — Spurious Predictability
+- [[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）
+- [[staug]] — STAug (EMD-based Augmentation)
+- [[stochastic-latent-trajectory]] — Stochastic Latent Trajectory（随机潜在轨迹）
+- [[strategy-engineering-unification]] — Strategy-Engineering Unification (策略与工程统一)
+- [[structured-knowledge]] — 结构化知识 (Structured Knowledge)
+- [[stub-pattern]] — Stub Pattern（轻量化桩模式）
+- [[subquadratic-transformer-alternatives]] — 次二次 Transformer 替代方案
+- [[sufficient-context-paradox]] — 充分上下文悖论 (Sufficient Context Paradox)
+- [[swe-bench]] — SWE-bench
+- [[symbolic-backpropagation]] — Symbolic Back-Propagation (符号反向传播)
+- [[symbolic-network]] — Symbolic Network (符号网络)
+- [[symbolic-regression]] — Symbolic Regression
+- [[synapse-model]] — Synapse Model
+- [[synthetic-data-qa-generation]] — Synthetic Data QA Generation (合成数据Q&A生成)
+- [[system-2-thinking]] — System 2 思维
+- [[system-message-abuse]] — System Message Abuse（系统消息滥用）
+- [[szemerédi-regularity-lemma]] — Szemerédi Regularity Lemma
+- [[tabular-foundation-models]] — Tabular Foundation Models
+- [[tba]] — Trajectory Balance with Asynchrony (TBA)
+- [[temporal-decay-neural]] — Temporal Decay (Neural)
+- [[temporal-patch-shuffle]] — Temporal Patch Shuffle (TPS)
+- [[terminal-bench]] — Terminal-Bench
+- [[test-time-scaling]] — Test-Time Scaling
+- [[test-time-training-rl]] — 测试时训练 RL (Test-Time Training with RL)
+- [[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)
+- [[thompson-sampling-code-search]] — Thompson Sampling Code Search
+- [[three-engineering-phases]] — Three Engineering Phases（三阶段工程演进）
+- [[throughput-hypothesis]] — Throughput Hypothesis (吞吐量假说)
+- [[time-series-forecasting-augmentation]] — Time Series Forecasting Augmentation
+- [[time-variant-dynamics]] — Time-variant Dynamics（时变动力学）
+- [[token-efficiency]] — Token 效率 (Token Efficiency)
+- [[token-superposition-training]] — Token Superposition Training (TST)
+- [[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）
+- [[tool-registry]] — ToolRegistry
+- [[trace-native-evaluation]] — Trace-Native Evaluation（踪迹原生评估）
+- [[trading-lifecycle-driven-eviction]] — Trading-Lifecycle Driven Eviction (交易生命周期驱动淘汰)
+- [[trajectory-balance-objective]] — Trajectory Balance (TB) 目标
+- [[transfer-learning]] — Transfer Learning (迁移学习)
+- [[two-phase-pretraining]] — Two-Phase Pre-Training
+- [[ultradata]] — UltraData
+- [[unconditional-generation-latent]] — Unconditional Generation via Latent Reasoning
+- [[unified-rft]] — 统一拒绝采样微调 (Unified RFT)
+- [[unsupervised-rlvr]] — 无监督可验证奖励强化学习 (URLVR)
+- [[update-magnitude-imbalance]] — GRPO 更新幅度不平衡
+- [[userspace-kernel]] — 用户空间内核
+- [[van-der-waerden-theorem]] — van der Waerden Theorem
+- [[verification-evaluation]] — Verification & Evaluation（验证与评估）
+- [[visual-primitives]] — 视觉原语 (Visual Primitives)
+- [[wavemask-wavemix]] — WaveMask / WaveMix
+- [[width-based-scaling]] — Width-Based Scaling（宽度扩展）
+- [[window-attention]] — 窗口注意力 (Window Attention)
+- [[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)
 
 ## Papers
 
-- [[behrouz-memory-caching-rnn]]
-- [[clawless-ai-agent-security]]
-- [[darlow-ctm-2025]] — CTM: 以神经同步为表示的持续思考机器 (NeurIPS 2025)
-- [[deepseek-v4-million-token-context]]
-- [[dou-cl-bench]]
-- [[elf-embedded-language-flows]] — ELF: 连续嵌入空间中的 Flow Matching 语言扩散模型 (2026)
-- [[godel-incompleteness-tutorial]]
-- [[he-urlvr-sharpening-2026]]
-- [[hunyuan-team-cl-bench-life]]
-- [[laban-llms-corrupt-documents-delegate]] — "LLMs Corrupt Your Documents When You Delegate" — DELEGATE-52
-- [[li-amd-human-perception]]
-- [[liu-koopa-2023]]
-- [[llm-attention-survey-2026]]
-- [[nikolopoulos-spurious-predictability]]
-- [[odrzywolek-eml-single-operator]]
-- [[qin-prfaas-cross-datacenter]]
-- [[ramsey-numbers-survey]]
-- [[song-agent-network-taxonomy]]
-- [[streaming-llm]] — StreamingLLM: 基于注意力汇的无限长流式语言模型推理框架 (ICLR 2024)
-- [[tao-klowden-ai-mathematical-methods]]
-- [[thinking-with-visual-primitives]]
-- [[xing-trails-2024]] — Trails: 数据库原生的深度神经网络模型选择 (VLDB 2024)
-- [[zeng-dynamic-model-slicing-2024]] — 数据库内的动态模型切片技术 (VLDB 2024)
-- [[zeng-neurida-2025]] — NeurIDA: 动态库内建模实现有效的关系数据库分析
-- [[zhang-hyperagents]]
-- [[zhao-neurdb-2025]] — NeurDB: AI 驱动的自主数据库 (CIDR 2025)
-- [[zhu-moda-mixture-of-depths]]
+- [[agarwal-bayesian-attention-geometry]] — The Bayesian Geometry of Transformer Attention
+- [[agent-harness-engineering-survey]] — Agent Harness Engineering: A Survey
+- [[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
+- [[clawless-ai-agent-security]] — ClawLess: AI 代理安全模型
+- [[dai-mathforge-2026]] — MathForge: Harder Is Better — 难度感知GRPO与多维度问题改写
+- [[darlow-ctm-2025]] — Continuous Thought Machines (CTM)
+- [[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
+- [[elf-embedded-language-flows]] — ELF: Embedded Language Flows
+- [[godel-incompleteness-tutorial]] — 哥德尔不完备定理教程
+- [[gram-generative-recursive-reasoning-paper]] — Generative Recursive Reasoning (GRAM)
+- [[he-urlvr-sharpening-2026]] — How Far Can Unsupervised RLVR Scale LLM Training?
+- [[hunyuan-team-cl-bench-life]] — CL-Bench Life: 真实生活上下文学习基准
+- [[kore-knowledge-injection]] — KORE: Knowledge-Oriented Controls for Knowledge Injection
+- [[laban-llms-corrupt-documents-delegate]] — LLMs Corrupt Your Documents When You Delegate
+- [[li-amd-human-perception]] — "Are You Sure?": Human Perception Vulnerability in LLM Agents
+- [[liu-koopa-2023]] — Koopa: Koopman 预测器驱动的非平稳时间序列学习
+- [[llm-attention-survey-2026]] — 大语言模型注意力机制全面分析
+- [[lou-autoharness-2026]] — AutoHarness: LLM Agent 的自动代码 Harness 合成
+- [[nikolopoulos-spurious-predictability]] — Spurious Predictability in Financial Machine Learning
+- [[odrzywolek-eml-single-operator]] — All elementary functions from a single binary operator
+- [[peng-tst-2026]] — Token Superposition Training: 高效 LLM 预训练的 Token 叠加方法
+- [[pre-train-space-reinforcement-learning]] — Pre-train Space Reinforcement Learning (PreRL/DSRL)
+- [[qin-prfaas-cross-datacenter]] — Prefill-as-a-Service: KVCache Goes Cross-Datacenter
+- [[ramsey-numbers-survey]] — 拉姆齐数的数学综述
+- [[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
+- [[tao-klowden-ai-mathematical-methods]] — Mathematical methods and human thought in the age of AI
+- [[thinking-with-visual-primitives]] — Thinking with Visual Primitives — 以视觉原语思考
+- [[toolcua-optimal-gui-tool-orchestration]] — ToolCUA: Optimal GUI-Tool Path Orchestration for Computer Use Agents
+- [[when-large-multimodal-models-confront-evolving-knowledge]] — When Large Multimodal Models Confront Evolving Knowledge
+- [[xing-trails-2024]] — Trails: Database Native Model Selection (VLDB 2024)
+- [[yang-skillopt-2026]] — SkillOpt: Agent Skill 的文本空间优化器
+- [[zeng-dynamic-model-slicing-2024]] — Powering In-Database Dynamic Model Slicing for Structured Data Analytics (VLDB 2
+- [[zeng-neurida-2025]] — NeurIDA: Dynamic Modeling for Effective In-Database Analytics
+- [[zhang-hyperagents]] — Hyperagents: Self-Referential Agents with Metacognitive Self-Modification
+- [[zhao-neurdb-2025]] — NeurDB: On the Design and Implementation of an AI-powered Autonomous Database (C
+- [[zhou-agent-symbolic-learning-2024]] — Agent Symbolic Learning: 用符号学习实现自进化 Agent
+- [[zhu-moda-mixture-of-depths]] — Mixture-of-Depths Attention (MoDA)
 
 ## Articles
 
+- [[caddy-reverse-proxy-auth]] — Caddy 反向代理认证方案
+- [[claw-eval]] — Claw-Eval：面向自主Agent的端到端评测框架
+- [[crawl4ai-open-source-web-crawler]] — Crawl4AI：赋能AI用户的开源智能网页爬虫与数据提取工具
+- [[distributed-agent-cache-sync-2026]] — 分布式Agent缓存同步：从单机到多机的Prompt Caching架构升级
+- [[gpt-image2-prompt-collection]] — GPT-Image-2 绘图 Prompt 方法论与风格合集
+- [[lyu-model-harness-evolution-2026]] — Model与Harness的关系演进：从AutoHarness到Heuristic Learning
+- [[lyu-skillopt-deep-dive-2026]] — SkillOpt深度解读：自进化Agent技能的'反向传播'与工程化Continued Evolve
+- [[mini-agent-harness]] — 从零搭建 Mini Agent Harness
+- [[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
+- [[ramsey-context-construction]] — 上下文构造与拉姆齐数
+- [[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
 
-- [[caddy-reverse-proxy-auth]]
-- [[crawl4ai-open-source-web-crawler]]
-- [[gpt-image2-prompt-collection]]
-- [[oppo-multimodal-data-lake]]
-- [[prompt-caching-architecture]]
-- [[ramsey-context-construction]]
 ## Special Pages
 
-- [[SCHEMA]] — Wiki 结构规范
-- [[log]] — 变更日志
-- [[README]] — Wiki 说明
+- [[index]] — 
+- [[log]] — 
+- [[README]] — 
+- [[SCHEMA]] — 
 
 ## Reviews
 
-- [[ctm-review-20260515]] — CTM 论文集成 Review (2026-05-15)
+- [[toolcua-review-20260531]] — ToolCUA Review: GUI-Tool路径编排的概念网络分析
+
+
+- [[agent-harness-engineering-review-20260523]] — Review: Agent Harness Engineering Survey
+- [[agent-network-taxonomy-review-20260501]] — Agent网络三层分类法 — Review 报告
+- [[cl-bench-life-review-20260501]] — CL-Bench Life 论文集成 Review
+- [[cl-bench-review-20260501]] — CL-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
+- [[delegate52-review-20260514]] — DELEGATE-52 Review
+- [[distributed-agent-cache-sync-review]] — Review: 分布式Agent缓存同步
+- [[elf-embedded-language-flows-review-20260513]] — Review: ELF — Embedded Language Flows
+- [[godel-tutorial-review-20260428]] — 哥德尔不完备定理教程 — Review 报告
+- [[hyperagents-review-20260420]] — 📚 Wiki 添加 Review 报告 - Hyperagents 论文
+- [[koopa-review-20260511]] — Review: Koopa — Koopman 预测器驱动的非平稳时序学习
+- [[kore-review-20260521]] — KORE Review
+- [[llm-attention-survey-review-20260429]] — Review: 大语言模型注意力机制全面分析
+- [[lou-autoharness-review]] — Review: AutoHarness — 自动合成代码 Harness 改进 LLM Agent
+- [[lyu-model-harness-review]] — Review: Model与Harness的关系演进
+- [[lyu-skillopt-deep-dive-review]] — Review: SkillOpt深度解读 — 自进化Agent的'反向传播'
+- [[mathforge-review-20260512]] — MathForge Review — 2026-05-12
+- [[neurida-review-20260515]] — NeurIDA 论文集成 Review
+- [[peng-tst-2026-review]] — Review: Token Superposition Training
+- [[pretrain-space-rl-review-20260518]] — Review: Pre-train Space Reinforcement Learning
+- [[prompt-caching-architecture-review-20260511]] — Review: Prompt Caching 架构工程手册
+- [[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
+- [[streaming-llm-review-20260514]] — Review: StreamingLLM — 基于注意力汇的无限长流式语言模型
+- [[tba-review-20260512]] — TBA Review — 2026-05-12
+- [[thinking-with-visual-primitives-review-20260430]] — Review — Thinking with Visual Primitives
+- [[ultradata-l3-review]] — Review: UltraData — 大模型数据分级治理的开源实践
+- [[yang-skillopt-review]] — Review: SkillOpt — Agent Skill 的文本空间优化器
+- [[zhou-agent-symbolic-learning-review]] — Review: Agent Symbolic Learning — 符号学习驱动的自进化Agent