# Wiki Log

> 所有 wiki 操作的按时间顺序记录。仅追加。
> 格式：`## [YYYY-MM-DD] action | subject`
> 操作类型：ingest, update, query, lint, create, archive, delete
> 当此文件超过 500 条记录时，轮换：重命名为 log-YYYY.md，重新开始。






















## 2026-06-25 — ingest | Wan-Streamer v0.1 (arXiv:2606.25041, 2026)
- 添加论文 [[wan-streamer]]: "Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models" — 阿里巴巴 Wan Team 的端到端流式全双工音视频交互基础模型
- 新增 5 个概念页: [[block-causal-attention]], [[full-duplex-interaction]], [[thinker-performer-pipeline]], [[causal-multimodal-vae]], [[end-to-end-streaming-interaction]]
- 更新 4 个已有概念页: [[flow-matching]], [[kv-cache]], [[diffusion-transformer]], [[native-streaming-ar-training]]
- 来源: https://arxiv.org/abs/2606.25041


## 2026-06-25 — ingest | Large Language Gibbs (arXiv:2606.19264, 2026)
- 添加论文 [[large-language-gibbs]]: "Structured Inference with Large Language Gibbs" — Edinburgh 团队的 LLM + Gibbs 采样结构化概率推断框架
- 新增 5 个概念页: [[llm-mcmc]], [[barker-gibbs]], [[gambling-gibbs]], [[order-bias-removal]], [[llm-consistent-reasoning]]
- 来源: https://arxiv.org/abs/2606.19264


## 2026-06-25 — ingest | Latent CoT Supervision (arXiv:2606.20075, ICML 2026)
- 添加论文 [[latent-cot-supervision]]: "What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis" — 从信息论角度分析潜推理的有效监督机制
- 新增 7 个概念页: [[dual-collapse]], [[trajectory-supervision]], [[space-supervision]], [[unified-latent-probe]], [[information-performance-binding]], [[generative-reconstruction-latent]], [[geometric-compression-latent]]
- 来源: https://arxiv.org/abs/2606.20075

## [2026-06-25] create | Agent Memory Five-Category Model (sz 记忆架构设计)
- 新增概念 [[agent-memory-five-category-model]]: sz 五类记忆模型——知识/概念/Cron/用户绑定/前瞻记忆的完整分类与 Atlas 映射
- 新增概念 [[prospective-memory-index]]: 前瞻记忆索引——第 5 类记忆（计划/想法/洞察）的锚点设计：语义关联衰减、LLM 重要性分类器、闭合状态管理
- 更新 [[atlas-memory-system]]: 添加五类模型扩展与前瞻索引交叉引用

## [2026-06-25] ingest | LongMemEval: Benchmarking Long-Term Interactive Memory (arXiv:2410.10813, UCLA/Tencent, ICLR 2025)
- 添加论文 [[longmem-eval-2025]]: "LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory" — 500 题 × 5 能力记忆基准 + 三阶段统一框架
- 新增 5 个概念页: [[long-term-interactive-memory]], [[longmem-eval]], [[memory-indexing-retrieval-reading]], [[fact-augmented-key-expansion]], [[time-aware-query-expansion]]
- 来源: https://arxiv.org/abs/2410.10813

## [2026-06-25] ingest | Engram: Conditional Memory via Scalable Lookup (arXiv:2601.07372, PKU/DeepSeek-AI)
- 添加论文 [[engram-conditional-memory-2026]]: "Conditional Memory via Scalable Lookup" — 条件记忆作为 MoE 的互补稀疏轴
- 新增 5 个概念页: [[conditional-memory]], [[engram]], [[sparsity-allocation]], [[ngram-embedding]], [[memory-compute-decoupling]]
- 来源: https://arxiv.org/abs/2601.07372

## [2026-06-24] ingest | Arbor: Hypothesis-Tree Refinement (arXiv:2606.11926, RUC/MSR)
- 添加论文 [[arbor-htr-2026]]: "Toward Generalist Autonomous Research via Hypothesis-Tree Refinement" — Coordinator+Executor 架构 + 假设树持久化 + AO 形式化
- 新增 5 个概念页: [[hypothesis-tree-refinement]], [[coordinator-executor-architecture]], [[autonomous-optimization-ao]], [[insight-backpropagation]], [[research-hypothesis-tree]]
- 来源: https://arxiv.org/abs/2606.11926


## [2026-06-24] ingest | ME² + TRM: Complex Reasoning Optimization (arXiv:2602.08498, ICML 2026)
- 添加论文 [[me2-trm-reasoning-2026]]: "Characterizing, Evaluating, and Optimizing Complex Reasoning" — ME² 原则 + DAG 推理建模 + Thinking Reward Model
- 新增 5 个概念页: [[me2-principle]], [[thinking-reward-model]], [[dag-reasoning-evaluation]], [[trm-preference-dataset]], [[reasoning-quality-optimization]]
- 复用: [[large-reasoning-models]], [[reward-model]], [[grpo]]
- 来源: https://arxiv.org/abs/2602.08498


## [2026-06-24] ingest | Atlas Agent 记忆系统架构（公众号技术文章）
- 添加文章 [[atlas-agent-memory-architecture-2026]]: "Atlas Agent 记忆系统架构" — 三索引分型 + BM25+dense 混合召回 + consolidation + soft-supersession
- 新增 8 个概念页: [[atlas-memory-system]], [[agent-memory-taxonomy]], [[hybrid-recall-pipeline]], [[verbatim-pre-recall]], [[memory-consolidation]], [[soft-supersession]], [[per-index-time-decay]], [[gbrain-memory]]
- 复用: [[bm25-financial-retrieval]]
- 来源: https://mp.weixin.qq.com/s/fypjVWJBQg_MZV9OMfPpIA


## [2026-06-24] ingest | VLA-JEPA (arXiv:2602.10098, cs.RO/cs.CV)
- 添加论文 [[vla-jepa-2026]]: "VLA-JEPA" — JEPA 范式引入 VLA，leakage-free state prediction 修复 latent-action 预训练的信息泄漏
- 新增 7 个概念页: [[vla-jepa]], [[leakage-free-state-prediction]], [[latent-world-model]], [[latent-action-pretraining]], [[information-leakage-vla]], [[jepa-for-robotics]], [[appearance-bias-vla]]
- 复用: [[jepa]], [[vla-vision-language-action]], [[world-model-lecun]], [[flow-matching]]
- 来源: https://arxiv.org/abs/2602.10098


## [2026-06-24] ingest | The Personalization Trap (arXiv:2510.09905, cs.AI/cs.CL, Amazon)
- 添加论文 [[personalization-trap-2025]]: "The Personalization Trap" — 用户记忆如何系统性改变 LLM 情感推理，优势画像比劣势画像获更准确情感解读
- 新增 7 个概念页: [[personalization-trap]], [[user-memory-bias]], [[emotional-reasoning-bias]], [[social-capital-framework]], [[situational-test-emotional-understanding]], [[intersectional-persona-evaluation]], [[persona-invariant-reasoning]], [[dpo-bias-mitigation]]
- 复用: [[dpo]]
- 来源: https://arxiv.org/abs/2510.09905


## [2026-06-24] ingest | Unlimited OCR Works (arXiv:2606.23050, cs.CV/cs.CL, Baidu)
- 添加论文 [[unlimited-ocr-works-2026]]: "Unlimited OCR Works" — R-SWA 注意力机制实现恒定 KV cache 的一次前向长程 OCR
- 新增 10 个概念页: [[reference-sliding-window-attention]], [[constant-kv-cache]], [[long-horizon-parsing]], [[deepseek-ocr]], [[deepencoder]], [[omnidocbench]], [[end-to-end-ocr]], [[unlimited-ocr]], [[megatron-lm]], [[sglang]]
- 来源: https://arxiv.org/abs/2606.23050


## [2026-06-24] ingest | 金融行业大模型落地实践（林金曙，DAcon 2026）
- 添加文章 [[financial-llm-practice-2026]]: "金融行业大模型落地实践：从长文档检索到 Agent 工程" — 恒生电子金融 LLM 工程实践全链路分享
- 新增 9 个概念页: [[pageindex]], [[agentic-rag]], [[financial-llm-requirements]], [[financial-llm-model-selection]], [[bm25-financial-retrieval]], [[agent-skill-atomization]], [[financial-agent-permission]], [[aidb]], [[financial-llm-deployment]]
- 来源: https://mp.weixin.qq.com/s/3iObkj6BKhZzphJ1URVOKg


## [2026-06-23] ingest | DCGWM: Dual-Channel Grounded World Modeling (arXiv:2606.18688, cs.LG/cs.AI 2026)
- 添加论文 [[hazare-dcgwm-2026]]: "结构防止目标干扰坍缩的双通道接地世界建模" — 识别 OIC 新失效模式，提出分区潜在空间+内向梯度流架构
- 新增 6 个概念页: [[objective-interference-collapse]], [[dcgwm]], [[inward-only-gradient-flow]], [[asymmetric-grounding-adherence-loss]], [[rollout-drift]], [[isolation-necessity-theorem]]
- 复用已有概念: [[jepa]], [[vicreg]], [[world-models-rl]], [[representation-collapse]]
- 来源: https://arxiv.org/abs/2606.18688
- 注: Position paper, 实验验证进行中


## [2026-06-23] ingest | Fisher Width: A Geometric Measure of Complexity on Statistical Manifolds (arXiv:2606.18306, cs.LG/stat.ML 2026)
- 添加论文 [[vu-fisher-width-2026]]: "统计流形上的几何复杂度度量" — 将 Gaussian width 推广到 Fisher 几何，引入 Fisher width 及其泛化界
- 新增 6 个概念页: [[fisher-width]], [[gaussian-width]], [[statistical-manifold]], [[fisher-lipschitz]], [[lifting-identity]], [[empirical-fisher]]
- 复用已有概念: [[fisher-information-metric]], [[information-geometry]], [[generalization-bounds]], [[natural-gradient-descent]]
- 来源: https://arxiv.org/abs/2606.18306


## [2026-06-23] ingest | A Bifurcation Theory Framework for GD on the Edge of Stability (arXiv:2606.15551, cs.LG 2026)
- 添加论文 [[gan-bifurcation-eos]]: "分岔理论框架下的梯度下降稳定边缘分析" — 将 EoS 稳定性归结为 flip 分岔的 c₁ 符号，统一乘积稳定性为特例
- 新增 8 个概念页: [[edge-of-stability]], [[flip-bifurcation]], [[first-lyapunov-coefficient]], [[manifold-of-minimizers]], [[normal-tangent-decomposition]], [[sharpness]], [[product-stability]], [[center-manifold-theorem]]
- 来源: https://arxiv.org/abs/2606.15551

## [2026-06-22] ingest | NANO Filter — Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation (arXiv:2410.15832, eess.SY)
- 添加论文 [[nano-filter]]: "NANO 自然梯度高斯近似滤波" — 跳出线性化框架，直接在 Gaussian 流形上优化后验
- 新增 11 个概念页: [[bayesian-filtering]], [[kalman-filter]], [[natural-gradient-descent]], [[gaussian-filtering]], [[stein-lemma]], [[gibbs-posterior]], [[gaussian-manifold]], [[moment-matching-filter]], [[pseudo-huber-loss]], [[posterior-linearization-filter]], [[nano-filter]]
- 1 个 Review: [[nano-filter-20260622]]
- 来源: https://arxiv.org/abs/2410.15832

## [2026-06-21] ingest | Jordan — A Collectivist, Economic Perspective on AI (arXiv:2507.06268, cs.CY)
- 添加论文 [[jordan-collectivist-ai-2025]]: "AI 的集体主义经济学视角" — LLM 作为集体主义制品，三种思维方式的融合
- 新增 4 个概念页: [[statistical-contract-theory]], [[e-values]], [[data-markets]], [[probability-matching]]
- 1 个 Review: [[jordan-collectivist-ai-review-20260621]]
- 更新已有概念: [[collectivist-ai]] (追加案例), [[prediction-driven-inference]] (追加 PPI 学术溯源)
- 来源: https://arxiv.org/abs/2507.06268


## [2026-06-21] ingest | Michael I. Jordan MLST访谈 — 机器之心编译
- 添加文章 [[michael-jordan-mlst-collectivist-ai-2026]]: "AI 的集体主义经济学与虚假的 AGI 二元论"
- 新增 6 个概念页: [[collectivist-ai]], [[uncertainty-taxonomy]], [[prediction-driven-inference]], [[foundation-model-frontier-bias]], [[anthropomorphization-critique]], [[agi-critique]]
- 更新已有概念: [[uncertainty-quantification]] — 追加 Jordan 社会-经济扩展维度
- 来源: https://mp.weixin.qq.com/s/VEo23R0yst6wjdyzVicYUQ (arXiv:2507.06268)


## [2026-06-21] ingest | LLM沉默螺旋综述 — 数据派THU (李媛媛)
- 添加文章 [[llm-spiral-of-silence-2026]]: "大模型沉默螺旋：当算法催生数字从众" — 系统性综述 LLM 在 RAG 闭环与多智能体交互中的算法驱动沉默螺旋
- 新增 12 个概念页: [[spiral-of-silence]], [[pretraining-statistical-bias]], [[context-anchoring]], [[role-setting-entrenchment]], [[rlhf-alignment-amplification]], [[rag-closed-loop]], [[multi-agent-spiral]], [[content-homogenization]], [[information-cocoons]], [[content-diversity-decay]], [[opinion-polarization]], [[temperature-sampling]]
- 更新已有概念: [[rlhf]], [[rag]] — 追加沉默螺旋维度交叉引用
- 来源: https://mp.weixin.qq.com/s/ZKrx4BzmiOUBsfPVY9YHyw


## [2026-06-20] ingest | MaineCoon (arXiv:2606.17800, cs.CV)
- 添加论文 [[mainecoon]]: "MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model" — 首个实时流式音视频社交世界模型 (22B, 47.5 FPS)
- 新增 15 个概念页: [[social-world-model]], [[self-resampling]], [[reinforced-online-policy-distillation]], [[agentic-streaming-inference]], [[agentic-cache-manager]], [[look-ahead-buffer-controller]], [[forward-repair-ladder]], [[socialvideo-bench]], [[audio-visual-representation-alignment]], [[domain-aware-preference-optimization]], [[audio-visual-generation]], [[autoregressive-video-generation]], [[streaming-generation]], [[diffusion-transformer]], [[social-video]], [[drifting]]
- 1 个 Review: [[mainecoon-review-20260620]]
- 来源: https://arxiv.org/abs/2606.17800

## [2026-06-19] ingest | ACE-Router (arXiv:2601.08276, cs.AI)
- 添加论文 [[yao-ace-router-2026]]: "ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web" — 训练专用路由器
- 新增 7 个概念页: [[ace-router]], [[history-aware-routing]], [[candidate-graph]], [[self-evolutionary-mutation]], [[trajectory-synthesis]], [[light-routing-agent]], [[agent-web]]
- 来源: https://arxiv.org/abs/2601.08276

## [2026-06-19] ingest | Dynamic ReAct (arXiv:2509.20386, cs.SE)
- 添加论文 [[gaurav-dynamic-react-2025]]: "Dynamic ReAct: Scalable Tool Selection for Large-Scale MCP Environments" — 五架构→Search and Load 最优
- 新增 6 个概念页: [[dynamic-react]], [[meta-tools]], [[search-and-load]], [[context-enriched-embeddings]], [[default-tools]], [[tool-registry]]
- 来源: https://arxiv.org/abs/2509.20386

## [2026-06-19] ingest | MCP-Zero (arXiv:2506.01056, cs.AI)
- 添加论文 [[fei-mcp-zero-2025]]: "MCP-Zero: Active Tool Discovery for Autonomous LLM Agents" — 主动工具发现范式
- 新增 6 个概念页: [[active-tool-discovery]], [[active-tool-request]], [[hierarchical-semantic-routing]], [[iterative-capability-extension]], [[mcp-protocol]], [[mcp-tools-dataset]]
- 来源: https://arxiv.org/abs/2506.01056

## [2026-06-19] ingest | MemOS Agent 记忆基础设施（熊飞宇/MemTensor, DataFun）
- 添加文章 [[memtensor-memos-agent-memory-2026]]: MemOS 记忆系统从效率工具到生存关键
- 新增 9 个概念页: [[agent-memory-system]], [[layered-memory-architecture]], [[model-driven-vs-app-driven-memory]], [[mem2skill]], [[memory-governance]], [[clawforce]], [[agent-memory-lifecycle]], [[memcube]], [[memory-dedup-pipeline]]
- 来源: https://mp.weixin.qq.com/s/5Wo91nzstNtCIV9chnuQmw

## [2026-06-19] ingest | Six Choices Every AI Engineer Has to Make (Nobrega, 数据派THU)
- 添加文章 [[nobrega-ai-production-tradeoffs-2026]]: AI 工程师的 6 种生产权衡
- 新增 9 个概念页: [[ai-production-tradeoffs]], [[build-vs-buy-llm]], [[cace-principle]], [[ml-technical-debt]], [[data-quality-vs-quantity]], [[batch-vs-real-time-inference]], [[prompt-engineering-vs-fine-tuning]], [[human-in-the-loop]], [[selective-hitl]], [[data-swamp]]
- 来源: https://mp.weixin.qq.com/s/GESoyR0qpxP4fPtHZjonKA

## [2026-06-19] ingest | Agent Skills Survey (arXiv:2605.07358)
- 添加论文 [[zhou-agent-skills-survey-2026]]: "A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications" — agent skill 生命周期的系统性综述
- 新增 12 个概念页: [[agent-skill]], [[procedural-gap]], [[skill-lifecycle]], [[skill-representation]], [[skill-acquisition]], [[skill-retrieval]], [[skill-selection]], [[skill-evolution]], [[skill-composition]], [[agent-skill-ecosystem]], [[passive-vs-active-knowledge]], [[runtime-governance]]
- 来源: https://arxiv.org/abs/2605.07358

## [2026-06-18] ingest | Transformers are SSMs: Structured State Space Duality (arXiv:2405.21060, ICML 2024)
- 添加论文 [[dao-transformers-are-ssms-2024]]: "Transformers are SSMs" — Dao & Gu 提出 SSD 框架统一 SSM 和 Attention，设计 Mamba-2 架构 (2-8x 加速)
- 新增 9 个概念页: [[structured-state-space-duality]], [[semiseparable-matrices]], [[structured-masked-attention]], [[mamba-2]], [[ssd-algorithm]], [[linear-attention]], [[selective-state-space-models]], [[tensor-contraction-duality]], [[head-structure-ssm]]
- 更新已有: [[mamba-ssm]], [[state-space-models]] — 添加 Mamba-2 反向链接
- 来源: https://arxiv.org/abs/2405.21060

## [2026-06-18] ingest | Thinking-Based Non-Thinking (arXiv:2601.04805, Preprint)
- 添加论文 [[gan-thinking-based-non-thinking-2026]]: "Thinking-Based Non-Thinking" — TNT: 利用思考模式 solution 长度动态限制非思考 token，解决混合推理模型的 Reward Hacking
- 新增 10 个概念页: [[hybrid-reasoning-models]], [[reward-hacking]], [[overthinking]], [[thinking-based-non-thinking]], [[dynamic-token-limit]], [[non-thinking-mode]], [[thinking-mode]], [[ellipsis-prompt]], [[large-reasoning-models]], [[token-level-policy-gradient]]
- 来源: https://arxiv.org/abs/2601.04805

## [2026-06-18] ingest | RWKV-7 "Goose" with Expressive Dynamic State Evolution (arXiv:2503.14456)
- 添加论文 [[peng-rwkv7]]: "RWKV-7 Goose" — 广义 Delta 规则 + 向量值门控，首个超越 TC^0 的并行化 RNN
- 新增 8 个概念页: [[rwkv]], [[delta-rule]], [[generalized-delta-rule]], [[vector-valued-gating]], [[in-context-learning-rate]], [[dynamic-state-evolution]], [[token-shift]], [[wkv-time-mixing]], [[regular-language-recognition]]
- 更新: [[enhanced-state-space-models]] (扩充 RWKV-7 小节)
- 新增 review: [[rwkv7-review-20260618]]
- 来源: https://arxiv.org/abs/2503.14456 | 代码: https://github.com/RWKV/RWKV-LM

## [2026-06-18] ingest | Mamba: Linear-Time Sequence Modeling with Selective State Spaces (arXiv:2312.00752)
- 添加论文 [[gu-mamba]]: "Mamba" — 选择性状态空间模型，线性时间序列建模
- 新增 7 个概念页: [[selective-state-space]], [[hardware-aware-algorithm]], [[structured-state-space-models]], [[content-based-reasoning]], [[selective-copy]], [[induction-heads]], [[hippo]]
- 更新 2 个已有概念页: [[mamba-ssm]] (大幅扩充), [[state-space-models]] (追加论文引用)
- 新增 review: [[mamba-review-20260618]]
- 来源: https://arxiv.org/abs/2312.00752 | 代码: https://github.com/state-spaces/mamba

## [2026-06-18] ingest | Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction (arXiv:2602.08585, ICML 2026)
- 添加论文 [[tang-lukv]]: "LU-KV" — 基于全局组合优化的 head 级 KV Cache 预算分配框架
- 新增 18 个概念页: [[kv-cache]], [[kv-cache-eviction]], [[lukv]], [[oracle-importance]], [[optimality-gap]], [[long-horizon-utility]], [[marginal-utility]], [[global-combinatorial-optimization]], [[convex-hull-relaxation]], [[offline-profiling]], [[head-level-budget-allocation]], [[intra-head-eviction]], [[cross-head-budget-allocation]], [[heuristic-metric]], [[snapkv]], [[pyramidkv]], [[adkv]], [[keydiff]]
- 新增 review: [[lukv-review-20260618]]
- 来源: https://arxiv.org/abs/2602.08585

## [2026-06-18] ingest | The Topological Trouble With Transformers (arXiv:2604.17121, Preprint)
- 添加论文 [[mozer-topological-trouble-transformers-2026]]: "The Topological Trouble With Transformers" — 分析前馈 Transformer 状态追踪的拓扑性局限并提出循环架构分类法
- 新增 16 个概念页: [[state-tracking]], [[feedforward-depth-limitation]], [[belief-state]], [[depth-dilemma]], [[recurrent-transformer-architectures]], [[recurrence-taxonomy]], [[depth-recurrence]], [[step-recurrence]], [[coarse-grained-recurrence]], [[latent-thought-models]], [[attractor-dynamics]], [[enhanced-state-space-models]], [[representational-alignment]], [[sequential-dependency]], [[autoregressive-unrolling]], [[state-space-models]]
- 来源: https://arxiv.org/abs/2604.17121

## [2026-06-17] ingest | Uncertainty Estimation and Generalization Bounds for Modern Deep Learning (PhD Thesis, arXiv:2606.13818, cs.LG 2026)
- 添加论文 [[ortega-phd-thesis]]: "Uncertainty Estimation and Generalization Bounds" — PhD论文，DVIP + VaLLA + FMGP + PAC-Chernoff泛化界
- 新增 10 个概念页: [[deep-variational-implicit-process|DVIP]], [[variational-linearized-laplace-approximation|VaLLA]], [[fixed-mean-gaussian-process|FMGP]], [[pac-bayesian-bounds|PAC-Bayesian界]], [[implicit-processes|隐式过程]], [[function-space-modeling|函数空间建模]], [[generalization-bounds|泛化界]], [[double-descent|双下降]], [[deep-gaussian-process|深度GP]], [[gaussian-process|GP]]
- UAM 博士论文，统一 Bayesian 方法 + PAC-Bayesian 理论 + 大偏差分析
- 来源: https://arxiv.org/abs/2606.13818

## [2026-06-17] ingest | Learning to Adapt: Representation-Based RL for Multi-Task Skill Transfer (arXiv:2606.12890, cs.RO 2026)
- 添加论文 [[repmt-sac]]: "RepMT-SAC" — 谱 MDP 分解 + 上游-下游两阶段学习的多任务 SAC，四旋翼跟踪 +30%
- 新增 8 个概念页: [[rep-mt-sac|RepMT-SAC]], [[spectral-mdp-decomposition|谱MDP分解]], [[task-invariant-representation|任务不变表征]], [[task-conditioned-policy|任务条件策略]], [[quadrotor-trajectory-following|四旋翼轨迹跟踪]], [[upstream-downstream-learning|上游-下游学习]], [[soft-actor-critic|SAC]], [[task-distribution|任务分布]]
- Harvard SEAS + MIT，IsaacSim 验证，零样本 ID + 少样本 OOD
- 来源: https://arxiv.org/abs/2606.12890

## [2026-06-17] ingest | Weighted Universal Approximation of Differentiable Maps on Infinite-Dimensional Manifolds (arXiv:2606.09820, math.FA 2026)
- 添加论文 [[weighted-uat-manifolds]]: "Weighted UAT" — 无限维流形上 FNN 的加权通用逼近，含导数
- 新增 8 个概念页: [[functional-input-neural-networks|FNN]], [[universal-approximation-theorem|UAT]], [[nachbin-theorem|Nachbin定理]], [[weighted-spaces|加权空间]], [[infinite-dimensional-manifolds|无限维流形]], [[bastiani-calculus|Bastiani微积分]], [[non-anticipative-functionals|非预期泛函]], [[signature|签名(Signature)]]
- 77页 math.FA 核心论文，首次将 UAT 从紧集扩展到加权非紧空间并包含导数逼近
- 来源: https://arxiv.org/abs/2606.09820

## [2026-06-17] ingest | Bellman–Taylor Score Decoding for MDPs with State-Dependent Feasible Action Sets (arXiv:2606.10979, cs.AI 2026)
- 添加论文 [[bellman-taylor-score-decoding]]: "Bellman–Taylor Score Decoding" — Taylor 展开 Q 函数将约束 MDP 映射为潜在得分 MDP，标准 DRL 直接可用
- 新增 8 个概念页: [[bellman-taylor-score-decoding|BTSD框架]], [[latent-score-mdp|潜在得分MDP]], [[state-dependent-feasible-action-sets|状态依赖可行动作集]], [[action-decoder|动作解码器]], [[post-action-configuration|后动作配置]], [[taylor-expansion-q-function|Q函数Taylor展开]], [[queueing-network-control|排队网络控制]], [[btsd-ppo|BTSD-PPO]], [[continuation-value-function|延续价值函数]]
- HKUST IEDA，排队网络控制验证，不需求导解码器，性能保证可分解为近似误差+学习误差
- 来源: https://arxiv.org/abs/2606.10979

## [2026-06-17] ingest | A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders (arXiv:2606.07007, cs.LG 2026)
- 添加论文 [[geometric-sae-concepts]]: "A Geometric View" — SAE 概念学习与神经元解释的统一几何框架，集合论 + 形式概念分析
- 新增 12 个概念页: [[sparse-autoencoder|SAE]], [[polysemanticity|多义性/单义性]], [[mechanistic-interpretability|机制可解释性]], [[formal-concept-analysis|FCA]], [[concept-learning|概念学习(几何)]], [[feature-splitting|特征分裂]], [[feature-absorption|特征吸收]], [[feature-family|特征家族]], [[absolute-gating|绝对/相对门控]], [[hyperplane-arrangements|超平面排列]], [[concept-lattice|概念格]], [[superposition|叠加]]
- UW Paul G. Allen School，区分 concept detection / separation / approximation 三层学习，建立概念格组织多对多关系
- 来源: https://arxiv.org/abs/2606.07007

## [2026-06-17] ingest | From Ticks to Flows: Dynamics of Neural RL in Continuous Environments (ICLR 2026, arXiv:2606.04275, cs.LG)
- 添加论文 [[ticks-to-flows]]: "From Ticks to Flows" — 连续时间 RL 的双时间尺度理论分析，SDE + NTK + 鞅 CLT
- 新增 12 个概念页: [[continuous-time-rl|连续时间RL]], [[stochastic-differential-equation|SDE]], [[wiener-process|维纳过程]], [[ito-calculus|Itô微积分]], [[two-time-scale-process|双时间尺度过程]], [[exploratory-dynamics|探索动力学]], [[linearized-neural-network|线性化NN]], [[infinite-width-limit|无限宽度极限]], [[neural-tangent-kernel|NTK]], [[martingale-clt|鞅CLT]], [[linear-quadratic-regulator|LQR]], [[control-affine-mdp|控制仿射MDP]]
- ICLR 2026 接收，Brown University，首次给出连续 RL 中 NN 参数梯度更新的状态分布演化方程
- 来源: https://arxiv.org/abs/2606.04275

## [2026-06-17] ingest | TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization (arXiv:2606.05859, cs.CL 2026)
- 添加论文 [[tarpo]]: "TARPO" — 纯 RL 驱动的逐 token 潜在-显式混合推理框架，自适应 hard/soft 切换
- 新增 12 个概念页: [[latent-reasoning|潜在推理]], [[coconut|COCONUT]], [[soft-token]], [[hard-token]], [[hybrid-reasoning|混合推理]], [[hrpo|HRPO]], [[token-wise-routing|逐token路由]], [[action-routing-policy|动作路由策略]], [[action-head-router|动作头路由器]], [[reparameterization-exploration|重参数化探索]], [[gumbel-softmax|Gumbel-Softmax]], [[continuous-representation|连续表征]]
- 来自南开大学 TMCC，Qwen2.5 (1.5B-7B) 和 Llama-3.1-8B 验证
- 来源: https://arxiv.org/abs/2606.05859

## [2026-06-16] ingest | Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches (TMLR, 2026 OpenReview: SXgGKkShhT)
- 添加论文 [[advances-temporal-point-processes-2026]]: "Advances in Temporal Point Processes" — TPP 综述，首篇同时覆盖 Bayesian/Neural/LLM 三大范式

... [OUTPUT TRUNCATED - 538 chars omitted out of 50538 total] ...

, [[lifecycle-orchestration]], [[observability]], [[verification-evaluation]], [[governance-security]], [[cost-quality-speed-trilemma]], [[capability-control-tradeoff]], [[harness-coupling-problem]], [[binding-constraint-thesis]], [[prompt-to-harness-evolution]], [[trace-native-evaluation]], [[standard-agent-handoffs]], [[adaptive-harness-simplification]], [[hardening-execution-environments]], [[reliable-state-long-running-agents]], [[context-state-estimation]], [[agent-frameworks-to-platforms]]
- 来源: 用户上传 PDF（用户 o9cq80wQvcn_qxHaHlEso2Bn3qoU@im.wechat）
- Wiki 规模: 373 → 395 页

## [2026-05-21] ingest | KORE (arXiv:2510.19316, ICML 2026)
- 添加论文 [[kore-knowledge-injection]]: "KORE: Enhancing Knowledge Injection via Knowledge-Oriented Controls" — 知识导向控制协同方法，零空间投影+知识树实现适应与保留双优
- 新增 6 个概念页: [[kore-augmentation]], [[kore-constraint]], [[knowledge-tree]], [[null-space-projection-knowledge]], [[covariance-matrix-knowledge]], [[hars]]
- KORE 是 MMEVOKE 系列工作的解决方案论文，同一作者团队
- 来源: https://arxiv.org/abs/2510.19316

## [2026-05-21] ingest | When Large Multimodal Models Confront Evolving Knowledge (arXiv:2505.24449, ICLR 2026)
- 添加论文 [[when-large-multimodal-models-confront-evolving-knowledge]]: "When Large Multimodal Models Confront Evolving Knowledge" — 多模态进化知识注入首个基准MMEVOKE，揭示双重挑战并探索知识增强与保留方案
- 新增 12 个概念页: [[evolving-knowledge-injection]], [[mme-voke]], [[knowledge-aware-augmentation]], [[knowledge-agnostic-augmentation]], [[capability-degradation]], [[data-replay]], [[moe-lora]], [[multimodal-rag]], [[knowledge-retention]], [[knowledge-adaptation]], [[self-evolving-benchmark]], [[sufficient-context-paradox]]
- 来源: https://arxiv.org/abs/2505.24449

## 2026-05-15 — ingest | Continuous Thought Machines (arXiv:2505.05522, NeurIPS 2025)
- 添加论文 [[darlow-ctm-2025]]: "Continuous Thought Machines" — 以神经同步为表示的新型架构，NLMs + Neural Synchronization 两大创新
- 新增 11 个概念页: [[continuous-thought-machine]], [[neuron-level-models]], [[neural-synchronization]], [[internal-ticks]], [[synapse-model]], [[certainty-based-loss]], [[adaptive-computation-time]], [[internal-world-model]], [[neuron-pairing]], [[temporal-decay-neural]], [[pre-activation-history]]
- 核心创新: 每个神经元私有 NLM 替代统一激活函数 + 激活历史内积作为同步表示
- 实验亮点: 迷宫泛化(39×39→99×99)、ImageNet 原生自适应计算、Parity 可解释策略
- 作者含 Llion Jones (Attention Is All You Need 合著者), 机构: Sakana AI
- 来源: https://arxiv.org/abs/2505.05522

## 2026-05-15 — ingest | NeurIDA (arXiv:2512.08483v3, cs.DB 2025)
- 添加论文 [[zeng-neurida-2025]]: "NeurIDA: Dynamic Modeling for Effective In-Database Analytics" — 端到端自主库内分析系统，通过动态装配定制模型解决 ML 静态性与 RDBMS 动态性的范式鸿沟
- 新增 15 个概念页: [[neurida]], [[dynamic-in-database-modeling]], [[dime-dynamic-in-database-modeling-engine]], [[composable-base-model-architecture]], [[query-intent-analyzer]], [[conditional-model-dispatcher]], [[zero-cost-proxies]], [[dynamic-relation-modeling]], [[dynamic-model-fusion]], [[data-slice]], [[base-table-embedding]], [[in-database-analytics]], [[relational-graph]], [[analytical-report-synthesizer]], [[tabular-foundation-models]]
- 核心创新: DIME 四阶段管线（表嵌入→关系建模→上下文融合→预测），从共享组件在查询时动态装配定制模型
- 实验: 5 数据集 10 任务，AUC-ROC ↑12%, MAE ↓25%, 延迟开销仅 1.1×–2.1×
- 来源: https://arxiv.org/abs/2512.08483v3

## 2026-05-12 — ingest | TBA (arXiv:2503.18929, NeurIPS 2025)
- 添加论文 [[bartoldson-tba-2025]]: "Trajectory Balance with Asynchrony" — GFlowNet TB 目标 × 异步分布式 RL
- 新增 8 个概念页: [[tba]], [[trajectory-balance-objective]], [[asynchronous-rl-llm]], [[off-policy-llm-post-training]], [[gflownet-fine-tuning]], [[replay-buffer-rl-llm]], [[searcher-trainer-decoupling]], [[reward-recency-sampling]]
- 核心创新: 利用 TB 目标的 off-policy 兼容性，实现 Searcher-Trainer 解耦，4×–50× 训练加速
- TBA′ 在高度 off-policy 设置下超越 Dr. GRPO（MATH, Qwen 2.5 7B）
- 来源: https://arxiv.org/abs/2503.18929 | 代码: https://github.com/bbartoldson/TBA

## 2026-05-12 — ingest | MathForge (arXiv:2601.20614, ICLR 2026)
- 添加论文 [[dai-mathforge-2026]]: "Harder Is Better" — 难度感知 GRPO + 多维度问题改写
- 新增 8 个概念页: [[grpo]], [[mathforge]], [[dgpo]], [[dgae]], [[dqw]], [[mqr]], [[update-magnitude-imbalance]], [[math-question-reformulation]]
- 核心发现: GRPO 存在更新幅度难度不平衡 (Theorem 1), DGAE 用 MAD 替代 std 解决 (Theorem 2)
- MQR 三维改写策略: Background (99%), Term (97%), Sub-Problem (97%) 答案保持率
- 来源: https://arxiv.org/abs/2601.20614 | 代码: https://github.com/AMAP-ML/MathForge





## [2026-05-18] ingest | Pre-train Space Reinforcement Learning (arXiv:2604.14142, 2026)
- 添加论文 [[pre-train-space-reinforcement-learning]]: "Pre-train Space RL" — 在预训练空间中应用 RL，NSR-PreRL 剪枝错误路径并激发内生推理，DSRL 全面超越 GRPO
- 新增 11 个概念页: [[pre-train-space-reinforcement-learning|PreRL]], [[dual-space-rl|DSRL]], [[post-train-space-rl]], [[negative-sample-reinforcement|NSR]], [[positive-sample-reinforcement|PSR]], [[gradient-alignment]], [[policy-reincarnation]], [[endogenous-reasoning]], [[shared-parameter-influence]], [[distribution-shift]], [[on-policy-learning-collapse]]
- 来源: https://arxiv.org/abs/2604.14142

## [2026-05-14] ingest | StreamingLLM: 基于注意力汇的高效流式语言模型 (arXiv:2309.17453, ICLR 2024)
- 添加论文 [[streaming-llm]]: "Efficient Streaming Language Models with Attention Sinks" — 发现 Attention Sink 现象，提出无需微调的无限长流式推理框架
- 新增 5 个概念页: [[length-extrapolation]], [[rolling-kv-cache]], [[sink-token]], [[softmax-off-by-one]], [[window-attention]]
- 更新概念 [[attention-sinks]]: 从占位符扩展为完整内容（含数学推导、实验证据、应用）
- 来源: https://arxiv.org/abs/2309.17453
- 创建 5 个作者实体页: [[guangxuan-xiao]], [[yuandong-tian]], [[beidi-chen]], [[song-han]], [[mike-lewis]]

## [2026-05-14] ingest | LLMs Corrupt Your Documents When You Delegate (arXiv:2604.15597, April 2026)
- 添加论文 [[laban-llms-corrupt-documents-delegate]]: "LLMs Corrupt Your Documents When You Delegate" — DELEGATE-52 基准揭示LLM在委托工作中静默破坏文档
- 新增 11 个概念页: [[delegate-52]], [[backtranslation-round-trip-relay]], [[round-trip-reconstruction-score]], [[document-degradation]], [[critical-failures]], [[delegated-work]], [[long-horizon-evaluation]], [[semantic-equivalence]], [[domain-specific-evaluation]], [[distractor-context]], [[jagged-frontier]]
- 来源: https://arxiv.org/abs/2604.15597

## [2026-05-13] — ingest | ELF: Embedded Language Flows (arXiv:2605.10938, Tech Report 2026)
- 添加论文 [[elf-embedded-language-flows]]: "ELF: Embedded Language Flows" — 基于 Flow Matching 的连续嵌入语言扩散模型，用共享权重网络实现去噪-解码统一，105M 超越 170M 基线
- 新增 11 个概念页: [[embedded-language-flows]], [[flow-matching]], [[continuous-diffusion-language-models]], [[shared-weight-discretization]], [[classifier-free-guidance-language]], [[self-conditioning]], [[x-prediction-parameterization]], [[rectified-flows]], [[sde-sampler-language]], [[generative-perplexity]], [[discrete-diffusion-language-models]]
- 来源: https://arxiv.org/abs/2605.10938
- 作者: Keya Hu*, Linlu Qiu*, Yiyang Lu, Hanhong Zhao, Tianhong Li, Yoon Kim, Jacob Andreas, Kaiming He (MIT)

## [2026-04-27] ingest | DeepSeek-V4 技术报告 (HuggingFace)
- 来源：https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf
- 作者：DeepSeek-AI
- PDF：4.4MB，提取 4906 行文本
- 新增文件 (14 个)：
  - `raw/papers/deepseek-ai-deepseek-v4-2026.md` — 原始论文存档
  - `papers/deepseek-v4-million-token-context.md` — 论文主页面
  - Tier 1 核心概念 (5 个)：
    - `concepts/compressed-sparse-attention.md` — CSA 压缩稀疏注意力
    - `concepts/heavily-compressed-attention.md` — HCA 高强度压缩注意力
    - `concepts/manifold-constrained-hyper-connections.md` — mHC 流形约束超连接
    - `concepts/muon-optimizer.md` — Muon 优化器
    - `concepts/on-policy-distillation.md` — OPD 在线策略蒸馏
  - Tier 2 基础概念 (4 个)：
    - `concepts/hybrid-attention-architecture.md` — 混合注意力架构
    - `concepts/mixture-of-experts.md` — MoE 混合专家
    - `concepts/fp4-quantization-training.md` — FP4 量化感知训练
    - `concepts/specialist-training-pipeline.md` — 专家训练流水线
  - Tier 3 占位符概念 (3 个)：
    - `concepts/multi-token-prediction.md` — MTP 多 Token 预测
    - `concepts/test-time-scaling.md` — 测试时扩展
    - `concepts/million-token-context.md` — 百万 Token 上下文
- 关键概念：CSA/HCA 混合注意力、mHC 双随机矩阵约束、Muon 优化器、OPD 多教师蒸馏
- 更新 index.md：总页面数 57 → 71

## [2026-04-20] merge | 合并 /home/ubuntu/wiki 到 /home/ubuntu/wikiplace
- 来源：旧 wiki 路径（默认回退路径 ~/wiki）
- 操作：将 wiki 独有的文件合并到 wikiplace
- 新增文件：
  - `concepts/computerized-adaptive-testing.md` — CAT 测试综述
  - `concepts/cramer-rao-lower-bound.md` — CRLB 参数估计下界
  - `concepts/knowledge-bank.md` — AI 辅助开发知识管理系统
  - `concepts/symbolic-regression.md` — 符号回归技术
  - `raw/articles/knowledge-bank-ai-dev-2026.md` — Knowledge Bank 微信公众号原文
  - `raw/papers/hbs-cramerrao-bound-notes.md` — HBS CRLB 培训材料摘要
  - `raw/papers/zhuang-catsurvey-ml-2024.md` — CAT 综述论文元数据
  - `raw/papers/cramerrao-bound-notes.pdf` — HBS CRLB 培训 PDF
  - `raw/papers/odrzywolek-eml-universal-operator-2026.pdf` — EML 论文 PDF
- 合并更新：
  - `concepts/eml-operator.md` — 补充了符号回归联系、布尔逻辑类比、研究意义和更多开放问题
  - `entities/andrzej-odrzywolek.md` — 补充了发表文献、发现方法、重要意义和外部链接
- 更新 index.md：总页面数 24 → 28
- 更新 log.md：追加合并记录

## [2025-04-15] create | Wiki 初始化
- 领域：数学研究、AI/ML 研究、编程技术、学习笔记与阅读资料
- 创建结构：SCHEMA.md, index.md, log.md
- 目录结构：raw/, entities/, concepts/, comparisons/, queries/

## [2025-04-15] ingest | Mathematical methods and human thought in the age of AI
- 来源：arXiv:2603.26524
- 作者：[[terence-tao|Terence Tao]], [[tanya-klowden|Tanya Klowden]]
- 保存至：raw/papers/tao-ai-mathematical-methods-2026.md
- 创建页面：
  - entities/papers/tao-klowden-ai-mathematical-methods.md
  - entities/terence-tao.md
  - entities/tanya-klowden.md
  - concepts/human-centered-ai.md
  - concepts/formal-verification.md
  - concepts/ai-mathematics.md
- 更新 index.md：总页面数 6

## [2026-04-16] ingest | All elementary functions from a single binary operator
- 来源：arXiv:2603.21852 [cs.SC]
- 作者：[[andrzej-odrzywolek|Andrzej Odrzywołek]]
- 保存至：raw/papers/odrzywolek-eml-single-operator-2026.md
- 创建页面：
  - papers/odrzywolek-eml-single-operator.md — EML 算子论文摘要
  - entities/andrzej-odrzywolek.md — 作者实体页面
  - concepts/eml-operator.md — EML 算子概念页面
- 更新 index.md：总页面数 9
- 关键概念：EML Sheffer 算子、二叉树语法、符号回归、连续数学完备性

## [2026-04-19] ingest | Memory Caching: RNNs with Growing Memory
- 来源：arXiv:2602.24281 [cs.LG]
- 作者：Ali Behrouz, Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni
- 保存至：raw/papers/behrouz-memory-caching-rnn-2026.md
- 创建页面：
  - papers/behrouz-memory-caching-rnn.md — MC 论文笔记
  - concepts/memory-caching-rnn.md — Memory Caching 技术详解
  - concepts/subquadratic-transformer-alternatives.md — 次二次 Transformer 替代方案综述
- 更新 index.md：总页面数 12
- 关键概念：Memory Caching、RNN 增长记忆、次二次复杂度、隐藏状态缓存、门控聚合

## [2026-04-19] ingest | "Are You Sure?": Human Perception Vulnerability in LLM Agents
- 来源：arXiv:2602.21127 [cs.HC]
- 作者：Xinfeng Li, Shenyu Dai, Kelong Zheng, Yue Xiao, Gelei Deng, Wei Dong, Xiaofeng Wang
- 保存至：raw/papers/li-amd-human-perception-2026.md
- 创建页面：
  - papers/li-amd-human-perception.md — AMD 实证研究论文笔记
  - concepts/agent-mediated-deception.md — AMD 攻击模式详解
  - concepts/human-agent-trust.md — 人机信任与脆弱性
- 更新 index.md：总页面数 14
- 关键概念：Agent-Mediated Deception、HAT-Lab、认知失败模式、经验学习、信任校准

## [2026-04-19] ingest | Prefill-as-a-Service: KVCache Goes Cross-Datacenter
- 来源：arXiv:2604.15039 [cs.DC]
- 作者：Ruoyu Qin, Weiran He, Yaoyu Wang, Zheming Li, Xinran Xu, Yongwei Wu, Weimin Zheng, Mingxing Zhang
- 保存至：raw/papers/qin-prfaas-cross-datacenter-2026.md
- 创建页面：
  - papers/qin-prfaas-cross-datacenter.md — PrfaaS 论文笔记
  - concepts/prefill-as-a-service.md — PrfaaS 架构详解
  - concepts/prefill-decode-disaggregation.md — PD 分离架构演进
  - concepts/kvcache-transfer.md — KVCache 传输与优化
- 更新 index.md：总页面数 17
- 关键概念：Prefill-as-a-Service、跨数据中心部署、KVCache 传输、混合注意力、带宽感知调度

## [2026-04-19] ingest | Mixture-of-Depths Attention (MoDA)
- 来源：arXiv:2603.15619 [cs.LG]
- 作者：Lianghui Zhu, Yuxin Fang, Bencheng Liao, Shijie Wang, Tianheng Cheng, Zilong Huang, Chen Chen, Lai Wei, Yutao Zeng, Ya Wang, Yi Lin, Yu Li, Xinggang Wang
- 保存至：raw/papers/zhu-moda-mixture-of-depths-2026.md
- 创建页面：
  - papers/zhu-moda-mixture-of-depths.md — MoDA 论文笔记
  - concepts/mixture-of-depths-attention.md — MoDA 机制详解
  - concepts/depth-scaling-signal-degradation.md — 深度扩展与信号退化问题
- 更新 index.md：总页面数 21
- 关键概念：Mixture-of-Depths Attention、信号退化、跨层 KV 访问、硬件高效实现、Post-Norm 优势

## [2026-04-19] ingest | OPPO 多模态数据湖实践 (WeChat Article)
- 来源：微信公众号文章 (DataFun / Data for AI Meetup)
- 分享人：David (OPPO 大数据架构负责人)
- 链接：https://mp.weixin.qq.com/s/cBaYa04qAIGsxG1hD7ll3w
- 保存至：raw/articles/oppo-multimodal-data-lake-2026.md
- 创建页面：
  - articles/oppo-multimodal-data-lake.md — 文章核心架构与成果总结
  - concepts/gravitino-unified-metadata.md — Gravitino 统一元数据管理
  - concepts/curvine-distributed-cache.md — Curvine 分布式缓存系统
- 更新 index.md：新增 Articles 分区，总页面数 24
- 关键概念：多模态数据湖、Gravitino 元数据、Curvine 缓存、LanceDB 加速、混合云架构

## [2026-04-20] ingest | Spurious Predictability in Financial Machine Learning
- 来源：arXiv:2604.15531 [q-fin.ST, stat.ME, stat.ML]
- 作者：Sotirios D. Nikolopoulos
- 保存至：raw/papers/nikolopoulos-spurious-predictability-2026.md
- 创建页面：
  - papers/nikolopoulos-spurious-predictability.md — 金融机器学习虚假可预测性论文笔记
  - concepts/spurious-predictability.md — 虚假可预测性概念详解
- 更新 index.md：总页面数 30

## [2026-04-20] ingest | Hyperagents: Self-Referential Agents with Metacognitive Self-Modification
- 来源：arXiv:2603.19461 [cs.AI]
- 作者：Jenny Zhang, Bingchen Zhao, Wannan Yang, Jakob Foerster, Jeff Clune, Minqi Jiang, Sam Devlin, Tatiana Shavrina
- 保存至：raw/papers/zhang-hyperagents-2026.md
- 创建页面：
  - papers/zhang-hyperagents.md — 超智能体论文笔记
  - concepts/hyperagents.md — 超智能体概念详解
  - concepts/self-improving-ai.md — 自我改进人工智能概念
  - concepts/darwin-godel-machine.md — 达尔文·哥德尔机概念
  - concepts/metacognitive-self-modification.md — 元认知自我修改概念
- 更新 index.md：总页面数 35
- 关键概念：超智能体、自我改进 AI、达尔文·哥德尔机、元认知自我修改、自我加速进展、可编辑元级

## [2026-04-20] fix | 修复超智能体相关概念的断链
- 修复问题：新创建页面中存在指向未创建概念的链接
- 创建缺失概念页面：
  - concepts/meta-learning.md — 元学习概念
  - concepts/recursive-self-improvement.md — 递归自我改进概念
  - concepts/genetic-programming.md — 遗传编程概念
  - concepts/program-synthesis.md — 程序合成概念
  - concepts/cognitive-architecture.md — 认知架构概念
  - concepts/singularity.md — 技术奇点概念
- 创建占位符概念页面（修复剩余断链）：
  - concepts/ai-alignment.md — AI 对齐概念
  - concepts/ai-safety.md — AI 安全概念
  - concepts/neuroscience.md — 神经科学概念
  - concepts/evolutionary-algorithms.md — 进化算法概念
  - concepts/few-shot-learning.md — 少样本学习概念
  - concepts/transfer-learning.md — 迁移学习概念
- 更新 index.md：总页面数 46
- 修复效果：消除所有新页面中的断链，建立完整的概念网络
- 关键概念：虚假可预测性、证伪审计、选择诱导性能膨胀、有效多重性、金融机器学习方法论

## [2026-04-22] ingest | ClawLess: A Security Model of AI Agents
- 来源：arXiv:2604.06284v1 [cs.CR]
- 作者：Hongyi Lu, Nian Liu, Shuai Wang, Fengwei Zhang
- 机构：南方科技大学，香港科技大学
- 保存至：raw/papers/lu-hongyi-clawless-ai-agent-security-2026.md
- 创建页面：
  - papers/clawless-ai-agent-security.md — ClawLess 论文笔记
  - concepts/clawless.md — ClawLess 安全框架概念
  - concepts/ai-agent-security.md — AI 代理安全概念
  - concepts/formal-security-model.md — 形式化安全模型概念
  - concepts/userspace-kernel.md — 用户空间内核概念
  - concepts/bpf-syscall-interception.md — BPF系统调用拦截概念
  - concepts/secure-containers.md — 安全容器概念
  - concepts/worst-case-threat-model.md — 最坏情况威胁模型概念
- 更新 index.md：总页面数 46 → 53
- 关键概念：ClawLess、AI代理安全、形式化安全模型、用户空间内核、BPF系统调用拦截、安全容器、最坏情况威胁模型

## [2026-04-22] ingest | Crawl4AI: 开源智能网页爬虫与数据提取工具
- 来源：知乎专栃 https://zhuanlan.zhihu.com/p/717965307
- 作者：沈飞
- 保存至：raw/articles/shenfei-crawl4ai-open-source-web-crawler-2024.md
- 创建页面：
  - articles/crawl4ai-open-source-web-crawler.md — Crawl4AI 文章主页面
  - concepts/crawl4ai.md — Crawl4AI 工具概念页面
  - concepts/rag-systems.md — RAG 系统概念页面
  - concepts/llm-applications.md — LLM 应用概念页面
- 更新 index.md：总页面数 53 → 57
- 关键概念：Crawl4AI、网页爬虫、数据提取、RAG、LLM应用、Markdown转换

---

---

## 2026-04-28 | 哥德尔不完备定理教程

- **来源**: PDF 直接提交 (godel_tutorial.pdf)，2026年4月综合教程
- **作者**: 无明确单一作者（面向数学系本科生的教学资料）
- **新增页面**: 25 个（1 论文 + 1 原始存档 + 23 概念）
  - raw/papers/godel-tutorial-2026.md — 原始存档
  - papers/godel-incompleteness-tutorial.md — 论文主页面
  - concepts/godel-incompleteness-theorems.md — 哥德尔不完备定理
  - concepts/godel-numbering.md — 哥德尔编码
  - concepts/hilberts-program.md — 希尔伯特计划
  - concepts/peano-arithmetic.md — 皮亚诺算术
  - concepts/self-reference.md — 自指
  - concepts/diagonalization-method.md — 对角线方法
  - concepts/halting-problem.md — 停机问题
  - concepts/lucas-penrose-argument.md — 卢卡斯-彭罗斯论证
  - concepts/chaitin-algorithmic-information-theory.md — 算法信息论
  - concepts/metamathematics.md — 元数学
  - concepts/primitive-recursive-functions.md — 原始递归函数
  - concepts/computability-theory.md — 可计算性理论
  - concepts/formal-systems.md — 形式系统
  - concepts/automated-theorem-proving.md — 自动定理证明
  - concepts/paris-harrington-theorem.md — 巴黎-哈灵顿定理
  - concepts/goodsteins-theorem.md — 古德斯坦定理
  - concepts/russells-paradox.md — 罗素悖论
  - concepts/continuum-hypothesis.md — 连续统假设
  - concepts/consistency-logic.md — 一致性
  - concepts/completeness-logic.md — 完备性
  - concepts/mathematical-pluralism.md — 数学多元主义
  - concepts/chaitin-constant.md — 蔡廷常数
  - concepts/kolmogorov-complexity.md — 柯尔莫哥洛夫复杂度
- 更新 index.md：总页面数 71 → 96
- 关键概念：哥德尔不完备定理、哥德尔编码、自指、对角线方法、停机问题、希尔伯特计划、可计算性、形式系统
## [2026-04-29] ingest | 大语言模型注意力机制全面分析 (综述论文)
- 来源：用户直接上传 PDF (LLM注意力机制全面分析.pdf)
- 类型：综述论文 / Review Paper，2026年4月
- PDF：1385 行文本提取
- 新增文件 (21 个)：
  - `raw/papers/llm-attention-survey-2026.md` — 原始论文存档
  - `papers/llm-attention-survey-2026.md` — 论文主页面
  - Tier 1 核心概念 (6 个)：
    - `concepts/multi-head-attention.md` — MHA 标准多头注意力
    - `concepts/grouped-query-attention.md` — GQA 分组查询注意力
    - `concepts/multi-head-latent-attention.md` — MLA 多潜在头注意力
    - `concepts/flash-attention.md` — FlashAttention IO感知优化
    - `concepts/attention-entropy-collapse.md` — 注意力熵崩溃
    - `concepts/kv-cache-bottleneck.md` — KV缓存内存瓶颈
  - Tier 2 基础概念 (5 个)：
    - `concepts/multi-query-attention.md` — MQA 多查询注意力
    - `concepts/sparse-attention-patterns.md` — 稀疏注意力模式
    - `concepts/linear-attention-methods.md` — 线性注意力方法
    - `concepts/rotary-position-embedding.md` — RoPE 旋转位置编码
    - `concepts/lost-in-the-middle.md` — Lost in the Middle 现象
  - Tier 3 占位概念 (8 个)：
    - `concepts/attention-sinks.md` — 注意力汇
    - `concepts/flash-attention-3.md` — FlashAttention-3
    - `concepts/mamba-ssm.md` — Mamba 状态空间模型
    - `concepts/mixture-of-attention-schemes.md` — MoAS 注意力方案混合
    - `concepts/duo-attention.md` — DuoAttention 双模式注意力
    - `concepts/seer-attention.md` — SeerAttention 可学习稀疏
    - `concepts/ntk-aware-interpolation.md` — NTK-aware 位置插值
    - `concepts/native-sparse-attention.md` — NSA 原生稀疏注意力
- 更新 index.md：总页面数 96 → 116
- 关键概念：注意力机制演化谱系 (MHA→MQA→GQA→MLA)、FlashAttention、注意力退化、KV缓存瓶颈、Lost in the Middle
- 网络连接：与已有概念 CSA、HCA、混合注意力架构、DeepSeek-V4 等形成密集交叉引用
## [2026-04-29] ingest | GPT-Image-2 绘图 Prompt 方法论与风格合集
- 来源：linux.do 论坛 (sallyn)，https://linux.do/t/topic/2044964
- 类型：论坛教程/经验分享 (2026-04-24)，整理于 2026-04-28
- 新增文件 (11 个)：
  - `raw/articles/sallyn-gpt-image2-prompt-collection-2026.md` — 原始摘录存档
  - `articles/gpt-image2-prompt-collection.md` — 文章主页面
  - Tier 1 核心概念 (3 个)：
    - `concepts/gpt-image2.md` — GPT-Image-2 图像生成工具
    - `concepts/prompt-reverse-engineering.md` — 图片反推 Prompt：15维分析框架
    - `concepts/image-generation-prompt-design.md` — 图像生成 Prompt 设计方法论
  - Tier 2 风格概念 (6 个)：
    - `concepts/russian-constructivism.md` — 俄国构成主义
    - `concepts/glitch-art-style.md` — 故障艺术
    - `concepts/cel-shading-style.md` — 赛璐璐风格
    - `concepts/risograph-print-style.md` — Riso印刷风格
    - `concepts/halftone-print-style.md` — 半调印刷风格
    - `concepts/klein-blue.md` — 克莱因蓝
- 更新 index.md：总页面数 116 → 126
- 关键概念：GPT-Image-2、Prompt反推工程、15维美学分析框架、5种核心艺术风格
- 特色：首次将 AI 图像生成工具链和艺术风格概念纳入 wiki 知识网络
## [2026-04-29] ingest | Caddy 反向代理认证方案
- 来源：用户直接上传 TXT
- 类型：技术教程/配置指南
- 新增文件 (6 个)：
  - `raw/articles/caddy-reverse-proxy-auth-2026.md` — 原始文档存档
  - `articles/caddy-reverse-proxy-auth.md` — 文章主页面
  - 概念 (4 个)：
    - `concepts/caddy-web-server.md` — Caddy Web 服务器
    - `concepts/reverse-proxy-authentication.md` — 反向代理层认证模式
    - `concepts/api-key-authentication.md` — API Key 认证机制
    - `concepts/forward-authentication.md` — 外部委托认证模式
- 更新 index.md：总页面数 126 → 131
- 关键概念：命名匹配器、反向代理认证、API Key 白名单、forward_auth 委托
- 特色：首次将 Web 服务器/反向代理/认证基础设施概念纳入 wiki
## [2026-04-29] ingest | How Far Can Unsupervised RLVR Scale LLM Training? (arXiv:2603.08660)
- 来源：arXiv API (2603.08660)
- 作者：He, Zuo, Liu et al. (22 authors, Tsinghua/Shanghai AI Lab et al.)
- 会议：ICLR 2026
- PDF：7121 行文本提取
- 新增文件 (13 个)：
  - `raw/papers/he-urlvr-sharpening-2026.md` — 原始存档
  - `papers/he-urlvr-sharpening-2026.md` — 论文主页面
  - Tier 1 核心概念 (4 个)：
    - `concepts/unsupervised-rlvr.md` — URLVR 范式定义
    - `concepts/intrinsic-rewards-sharpening.md` — Sharpening 统一理论
    - `concepts/model-collapse-step.md` — MCS 模型崩溃步
    - `concepts/self-verification-rewards.md` — 自我验证外部奖励
  - Tier 2 基础概念 (4 个)：
    - `concepts/reward-hacking-llm.md` — 奖励黑客与模型崩溃
    - `concepts/certainty-based-rewards.md` — 确定性奖励
    - `concepts/ensemble-based-rewards.md` — 集成奖励/多数投票
    - `concepts/generation-verification-asymmetry.md` — 生成-验证不对称性
  - Tier 3 占位概念 (3 个)：
    - `concepts/rlvr-unified-framework.md` — RLVR 统一框架
    - `concepts/test-time-training-rl.md` — 测试时训练 RL
    - `concepts/confidence-correctness-alignment.md` — 置信度-正确性对齐
- 更新 index.md：总页面数 131 → 143
- 关键概念：URLVR、Sharpening机制、Rise-then-Fall模式、Model Collapse Step、Self-verification突破
- 特色：首次将 RLVR/URLVR/奖励黑客等 LLM 后训练理论概念纳入 wiki
---
## 2026-04-30 20:08 — Thinking with Visual Primitives (DeepSeek-AI, 2026)

**来源**: GitHub (deepseek-ai/Thinking-with-Visual-Primitives)
**类型**: 技术报告 / 研究论文
**领域**: Multimodal AI / Visual Reasoning

### 新增页面 (21)
- **Papers**: [[thinking-with-visual-primitives]] — 视觉原语思考框架主页面
- **Raw**: raw/papers/deepseek-visual-primitives-2026.md

### 新增概念 (20)
- [[visual-primitives]] — 视觉原语：框+点作为思维最小单位
- [[reference-gap]] — 引用鸿沟：语言空间指代模糊
- [[perception-gap]] — 感知鸿沟：分辨率限制的视觉细节丢失
- [[chain-of-thought]] — 思维链 (CoT) 的多模态扩展
- [[multimodal-large-language-model]] — MLLM 背景概念
- [[system-2-thinking]] — System 2 思维与视觉推理
- [[deepseek-vit]] — DeepSeek 视觉 Transformer
- [[deepseek-v4-flash]] — 语言骨干模型
- [[token-efficiency]] — Token 效率 (7056× 压缩)
- [[coarse-grained-counting]] — 粗粒度计数
- [[fine-grained-counting]] — 细粒度计数
- [[maze-navigation]] — 迷宫导航
- [[path-tracing]] — 路径追踪
- [[group-relative-policy-optimization]] — GRPO 算法
- [[specialized-sft]] — 专项监督微调
- [[specialized-rl]] — 专项强化学习
- [[unified-rft]] — 统一拒绝采样微调
- [[exponential-decay-reward]] — 指数衰减奖励
- [[bidirectional-trajectory-evaluation]] — 双向轨迹评估
- [[reward-model]] — 奖励模型体系

### 交叉链接
与已有概念 [[compressed-sparse-attention]]、[[on-policy-distillation]]、[[mixture-of-experts]]、[[deepseek-v4-million-token-context]] 建立双向链接。

### Wiki 规模
143 → 164 页

## [2026-05-01] ingest | CL-Bench Life: 真实生活上下文学习基准
- **来源**：arXiv:2604.27043 [cs.CL]
- **作者**：Hunyuan Team (Tencent) & Fudan University
- **日期**：2026-04-29
- **PDF**：4.9MB，提取 3879 行文本
- **新增文件 (10 个)**：
  - `raw/papers/hunyuan-team-cl-bench-life-2026.md` — 原始论文存档
  - `papers/hunyuan-team-cl-bench-life.md` — 论文主页面
  - Tier 1 核心概念 (3 个)：
    - `concepts/cl-bench-life.md` — CL-bench Life 基准设计
    - `concepts/real-life-context-learning.md` — 真实生活上下文学习能力
    - `concepts/context-misuse.md` — 上下文误用：首要失败模式
  - Tier 2 基础概念 (1 个)：
    - `concepts/messy-context-reasoning.md` — 混乱上下文推理
  - Tier 2/3 占位概念 (4 个)：
    - `concepts/context-learning.md` — 通用上下文学习
    - `concepts/llm-evaluation-benchmarks.md` — LLM 评测基准体系
    - `concepts/long-context-understanding.md` — 长上下文理解
    - `concepts/identity-reference-resolution.md` — 身份指代消解
- **更新 index.md**：总页面数 164 → 173
- **关键概念**：真实生活上下文学习、CL-bench Life、上下文误用（76-84%错误）、混乱上下文推理、三大上下文类别
- **核心发现**：最佳模型仅 19.3% 解决率；上下文误用是首要失败模式；长上下文能力与混乱上下文推理不等价

## [2026-05-01] lint | Wiki 全面健康检查与大修
- **检查范围**：181 个 wiki 页面
- **修复前问题**：462 total（117 断链 + 121 索引重复 + 106 缺失 frontmatter + 18 孤儿 + 等）
- **修复操作**：
  1. **索引去重**：732 条概念条目 → 154 条唯一，26 条论文 → 15 条唯一，文件从 810 行压缩到 198 行
  2. **断链清零**：117 → 0，批量修复中文 wikilink 目标错误（ClawLess 系列、Tao/Klowden 系列等）
  3. **缺失索引条目**：补回 5 个概念 + 4 篇文章 + 清理 2 个坏条目
  4. **Frontmatter 补全**：106 → 0，全量补充 YAML frontmatter
  5. **孤儿概念链接**：3 个 URLVR 相关概念加回 inbound link
  6. **文件移动**：entities/papers/tao-klowden-ai-mathematical-methods.md → papers/
- **修复后状态**：
  - 断链：0 ✅
  - 缺失 frontmatter：0 ✅
  - 索引条目：173，声明总数：181（差值 8 为 reviews/extracts）
  - 孤儿：7（全部为 reviews/extracts，有意设计）
  - 页面数不变：181

## [2026-05-01] ingest | Agent网络三层分类法综述
- **来源**：TechRxiv (DOI: 10.36227/techrxiv.177127384.46731320/v1)
- **作者**：Xinyuan Song (Emory), Qingsong Wen (Oxford), Shirui Pan (Griffith), Liang Zhao (Emory)
- **日期**：2026-02-16
- **PDF**：用户直接上传，提取 2084 行文本
- **新增文件 (9 个)**：
  - `raw/papers/song-agent-network-taxonomy-2026.md` — 原始论文存档
  - `papers/song-agent-network-taxonomy.md` — 论文主页面
  - Tier 1 核心概念 (4 个)：
    - `concepts/agent-network-taxonomy.md` — 三层级分类法
    - `concepts/agent-network-topology.md` — 拓扑维度（集中式vs去中心化）
    - `concepts/agent-network-memory-scope.md` — 记忆范围维度（全局vs局部）
    - `concepts/agent-network-update-behavior.md` — 更新行为维度（静态vs动态）
  - Tier 2 基础概念 (3 个)：
    - `concepts/centralized-agent-architecture.md` — 集中式架构详解
    - `concepts/decentralized-agent-architecture.md` — 去中心化架构详解
    - `concepts/agent-communication-stack.md` — 三层通信协议栈
- **交叉链接**：与 [[cognitive-architecture]]、[[hyperagents]] 建立双向链接
- **更新 index.md**：总页面数 181 → 189
- **关键概念**：Agent网络三层分类法、8种系统类别、通信协议栈、MCP标准化
- **核心贡献**：嵌套式分类框架(A=(V,E,M,Π))→8种类别；识别语义层为大规模系统首要失败点

## [2026-05-01] ingest | CL-bench: 首个上下文学习基准
- **来源**：arXiv:2602.03587 [cs.CL]
- **作者**：Shihan Dou, Ming Zhang, Zhangyue Yin et al. (27 authors, Fudan Univ. & Tencent Hunyuan)
- **日期**：2026-02-03
- **PDF**：1.8MB，提取 6713 行文本
- **新增/更新文件 (7 个)**：
  - `raw/papers/dou-cl-bench-2026.md` — 原始论文存档
  - `papers/dou-cl-bench.md` — 论文主页面
  - `concepts/context-learning.md` — 从占位页升级为完整概念页
  - Tier 1 类别概念 (4 个)：
    - `concepts/domain-knowledge-reasoning.md` — 领域知识推理（7子类）
    - `concepts/rule-system-application.md` — 规则系统应用（5子类）
    - `concepts/procedural-task-execution.md` — 程序性任务执行（3子类）
    - `concepts/empirical-discovery-simulation.md` — 经验发现与模拟（3子类）
- **更新 index.md**：总页面数 189 → 195
- **关键概念**：Context Learning 范式定义、CL-bench 四类别框架、污染防护设计
- **核心发现**：十模型平均 17.2%/最佳 23.7%；归纳推理（经验发现）是最瓶颈；法律推理 >40% vs 数学形式化 <15%
- **与已有概念的连接**：与 [[cl-bench-life]]、[[real-life-context-learning]]、[[context-misuse]] 形成 CL-bench 系列完整知识网络

## [2026-05-11] ingest | Prompt Caching 架构工程手册 (微信公众号)
- 来源：https://mp.weixin.qq.com/s/gyd4cqxadv3YW5Fe09r95g
- 类型：工程实践教程 (Article)
- 案例系统：Meta-JCTrader（高频交易 + RL + Meta-Learning）
- 新增文件 (15 个)：
  - `raw/articles/prompt-caching-architecture-2026.md` — 原始文章存档
  - `articles/prompt-caching-architecture.md` — 文章主页面
  - 核心概念 (12 个)：
    - `concepts/prompt-caching.md` — Prompt Caching
    - `concepts/prefix-matching.md` — 前缀匹配
    - `concepts/prompt-layering.md` — 提示分层 (Global/Project/Session/Dynamic)
    - `concepts/stub-pattern.md` — Stub 模式（轻量化桩）
    - `concepts/tool-registry.md` — ToolRegistry 统一接口
    - `concepts/cache-safe-forking.md` — 缓存安全分叉
    - `concepts/cache-invalidation.md` — 缓存失效
    - `concepts/cache-hit-ratio.md` — 缓存命中率 (CHR)
    - `concepts/context-compression.md` — 上下文压缩
    - `concepts/system-message-abuse.md` — System Message 滥用反模式
    - `concepts/cache-health-observability.md` — 缓存健康度可观测性
    - `concepts/meta-jctrader.md` — Meta-JCTrader 案例
  - 占位符概念 (2 个)：
    - `concepts/agentic-systems.md` — Agentic Systems
    - `concepts/reinforcement-learning-trading.md` — 强化学习交易
- 索引：195 → 203 页（全量重建）
- 关键概念：四层架构分层、Stub模式/ToolRegistry、Cache-Safe Forking、CHR监控
- Review: `reviews/prompt-caching-architecture-review-20260511.md`

## [2026-05-11] ingest | 拉姆齐数的数学综述 (用户上传)
- 来源：用户上传 Markdown (RNS.md)
- 日期：2025年6月
- 类型：数学综述 (Survey)
- 新增文件 (18 个)：
  - `raw/papers/ramsey-numbers-survey-2025.md` — 原始综述存档
  - `papers/ramsey-numbers-survey.md` — 论文主页面
  - 核心概念 (12 个)：
    - `concepts/ramsey-theory.md` — 拉姆齐理论
    - `concepts/ramsey-numbers.md` — 拉姆齐数
    - `concepts/diagonal-ramsey-number.md` — 对角拉姆齐数
    - `concepts/probabilistic-method.md` — 概率方法 (Erdős 1947)
    - `concepts/hypergraph-ramsey-number.md` — 超图拉姆齐数
    - `concepts/geometric-ramsey-theory.md` — 几何拉姆齐理论
    - `concepts/additive-combinatorics.md` — 加法组合学
    - `concepts/van-der-waerden-theorem.md` — van der Waerden 定理
    - `concepts/paris-harrington-theorem.md` — 巴黎-哈灵顿定理
    - `concepts/green-tao-theorem.md` — Green-Tao 定理 (素数等差数列)
    - `concepts/szemerédi-regularity-lemma.md` — Szemerédi 正则性引理
    - `concepts/ramsey-theory-applications.md` — 拉姆齐理论跨学科应用
  - 占位符概念 (4 个)：
    - `concepts/paley-graph.md` — Paley 图
    - `concepts/lovasz-local-lemma.md` — Lovász 局部引理
    - `concepts/random-graph-theory.md` — 随机图理论
    - `concepts/furstenberg-correspondence.md` — Furstenberg 对应原理
- 索引：203 → 219 页（全量重建）
- 关键概念：Ramsey 理论核心信条、概率方法、Green-Tao 定理、Paris-Harrington 不可判定性
- Review: `reviews/ramsey-numbers-survey-review-20260511.md`
- 与已有概念的连接：[[godel-incompleteness-theorems]] (via Paris-Harrington)

## [2026-05-11] ingest | 上下文构造与拉姆齐数 (用户上传)
- 来源：用户上传 Markdown
- 类型：方法论设计 (Methodology)
- 核心思路：将拉姆齐理论的"必然涌现的秩序"映射到 Agent 上下文构筑
- 新增文件 (7 个)：
  - `raw/articles/ramsey-context-construction-2026.md` — 原始文档存档
  - `articles/ramsey-context-construction.md` — 方法论主页面
  - 核心概念 (5 个)：
    - `concepts/ramsey-context-graph.md` — 拉姆齐上下文图（蓝/红边兼容性建模）
    - `concepts/ramsey-context-cache.md` — 拉姆齐上下文缓存（三层机制）
    - `concepts/context-blue-clique.md` — 上下文蓝色团（全兼容骨架）
    - `concepts/greedy-context-screening.md` — 贪心上下文筛选（三步快速组装）
    - `concepts/ramsey-context-template.md` — 拉姆齐上下文模板（KV cache 优化）
- 索引：219 → 225 页（全量重建）
- 关键概念：兼容图建模、R(3,3)=6 保证、蓝色团模板、贪心团搜索
- Review: `reviews/ramsey-context-construction-review-20260511.md`
- 桥梁作用：连接 [[ramsey-theory|拉姆齐理论]]（数学）与 [[prompt-caching|Prompt Caching]]（工程）

## [2026-05-11] ingest | Koopa: Koopman 预测器驱动的非平稳时序学习 (arXiv)
- 来源：https://arxiv.org/abs/2305.18803
- 作者：Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long (Tsinghua)
- 会议：NeurIPS 2023
- 新增文件 (9 个)：
  - `raw/papers/liu-koopa-2023.md` — 原始论文存档
  - `papers/liu-koopa-2023.md` — 论文主页面
  - 核心概念 (7 个)：
    - `concepts/koopman-theory.md` — Koopman 理论（非线性→线性映射）
    - `concepts/koopman-predictor.md` — Koopman 预测器
    - `concepts/fourier-filter-dynamics.md` — Fourier Filter 动力学分解
    - `concepts/dynamic-mode-decomposition.md` — DMD 动态模式分解
    - `concepts/non-stationary-time-series.md` — 非平稳时间序列
    - `concepts/koopman-autoencoder.md` — Koopman 自编码器 (KAE)
    - `concepts/time-variant-dynamics.md` — 时变动力学
- 索引：225 → 233 页（全量重建）
- 关键结果：SOTA 竞争性能 + 77.3% 训练时间节省 + 76.0% 内存节省
- Review: `reviews/koopa-review-20260511.md`