myWiki/log.md

# 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。

## [2026-06-17] 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
- 新增 13 个概念页: [[temporal-point-process|时间点过程]], [[conditional-intensity-function|条件强度函数]], [[hawkes-process|Hawkes 过程]], [[poisson-process|泊松过程]], [[neural-temporal-point-process|神经 TPP]], [[bayesian-nonparametric-tpp|贝叶斯非参数 TPP]], [[llm-based-temporal-point-process|LLM TPP]], [[marked-temporal-point-process|标记 TPP]], [[granger-causality-tpp|Granger 因果发现]], [[intensity-free-modeling|Intensity-free 建模]], [[diffusion-based-tpp|扩散 TPP]], [[tpp-training-methods|TPP 训练方法]], [[tpp-applications|TPP 应用场景]]
- 全新领域：时间点过程——此前 wiki 未覆盖
- 来源: https://openreview.net/forum?id=SXgGKkShhT

## [2026-06-15] ingest | Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks (arXiv:2606.12344, cs.LG/cs.CL 2026)
- 添加论文 [[claw-swe-bench]]: "Claw-SWE-Bench" — 将 agent harness 作为受控实验变量的多语言 SWE-bench 风格评测，附代价感知的 Pareto 前沿分析
- 新增 11 个概念页: [[agent-harness|Agent Harness]], [[adapter-protocol|Adapter Protocol]], [[bare-adapter|Bare Adapter]], [[claw-swe-bench-lite|Claw-SWE-Bench Lite]], [[cost-aware-benchmarking|Cost-Aware Benchmarking]], [[future-commit-cleanup|Future-Commit Cleanup]], [[harness-model-interaction|Harness-Model Interaction]], [[openclaw|OpenClaw]], [[pareto-frontier-evaluation|Pareto Frontier Evaluation]], [[patch-based-evaluation|Patch-Based Evaluation]], [[swe-bench|SWE-bench]]
- 关键发现: adapter 设计从 19.1% → 73.4% Pass@1；Harness 选择产生至多 27.4 pp 差距；准确率相似时代价可差 170 倍
- 来源: https://arxiv.org/abs/2606.12344

## [2026-06-14] ingest | 金融行业大模型落地实践：从知识工程到后训练部署 (DataFun, 王元/奇富科技, 2026 DA 上海站)
- 添加文章 [[qifu-llm-finance-practice]]: "金融行业大模型落地实践" — 通用大模型 + 高质量知识工程的金融落地范式
- 新增 10 个概念页: [[reer-reverse-knowledge-extraction]], [[multi-dimensional-synthetic-data]], [[post-hoc-reasoning-rl]], [[pre-hoc-reasoning-rl]], [[emotional-value-evaluation]], [[moe-lora-toolchain-conflict]], [[zero-data-cold-start]], [[vertical-llm-knowledge-engineering]], [[automatic-prompt-optimization]]
- 来源: https://mp.weixin.qq.com/s/UnA-OLSc0mVqe7KyBX7yJw

## [2026-06-14] ingest | From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution (arXiv:2604.15097v2, cs.SE/cs.CL 2026)
- 添加论文 [[procedural-skills-to-strategy-genes]]: "From Procedural Skills to Strategy Genes" — 经验表示层面对比分析：文档导向 Skill vs 控制导向 Gene
- 新增 12 个概念页: [[strategy-gene]], [[procedural-skill]], [[gene-evolution-protocol]], [[test-time-control]], [[experience-representation]], [[skill-probe]], [[gene-probe]], [[evolution-probe]], [[experience-distillation]], [[bounded-reuse]], [[gene-bench]], [[critpt]]
- 来源: https://arxiv.org/abs/2604.15097

## [2026-06-13] ingest | Flex4DHuman: Flexible Multi-view Video Diffusion for 4D Human Reconstruction (arXiv:2606.13655, cs.CV 2026)
- 添加论文 [[flex4dhuman]]: "Flexible Multi-view Video Diffusion for 4D Human Reconstruction" — 无显式几何先验的多视角视频扩散，仅通过相对相机位姿编码实现单目到 4D
- 新增 11 个概念页: [[five-axis-positional-encoding]], [[se3-relative-camera-encoding]], [[prope]], [[clean-conditioning-mask]], [[three-stage-curriculum-training]], [[temporal-rollout]], [[teacher-forced-history]], [[multi-view-captioning]], [[monocular-video-to-4d]], [[4d-gaussian-splatting]], [[freetimegs]]
- 来源: https://arxiv.org/abs/2606.13655

## [2026-06-11] ingest | Life-Harness: Runtime Harness Adaptation for Deterministic LLM Agents (arXiv:2605.22166, 2026)
- 添加论文 [[xu-life-harness]]: "Adapting the Interface, Not the Model" — 生命周期感知的 Runtime Harness 适配，四层架构在不更新模型权重下提升确定性 Agent
- 新增 10 个概念页: [[runtime-harness-adaptation]], [[runtime-interface-adaptation]], [[lifecycle-aware-harness]], [[environment-contract-layer]], [[procedural-skill-layer]], [[action-realization-layer]], [[trajectory-regulation-layer]], [[harness-evolution]], [[cross-model-harness-transfer]], [[deterministic-agent-failures]]
- 来源: https://arxiv.org/abs/2605.22166

## [2026-06-10] ingest | Dead Directions: Geometric Singular Learning (arXiv:2606.05957, 2026)
- 添加论文 [[dead-directions-geometric-singular-learning]]: "Dead Directions: Geometric Singular Learning" — dead direction 桥接 SLT 与信息几何，单 checkpoint 读出 Watanabe 三元组
- 新增 8 个概念页: [[dead-direction]], [[singular-learning-theory]], [[information-geometry]], [[fisher-information-metric]], [[real-log-canonical-threshold]], [[kl-order]], [[watanabe-triple]], [[ddcadam]]
- 来源: https://arxiv.org/abs/2606.05957

## [2026-06-10] ingest | Representation Learning Enables Scalable Multitask Deep RL (arXiv:2606.05555, 2026)
- 添加论文 [[predictive-representations-scalable-mtrl]]: "Scalable Multitask Deep RL" — 预测表征学习（非规划）是多任务RL可扩展性的核心驱动力
- 新增 8 个概念页: [[predictive-representation-learning]], [[mrq-algorithm]], [[multitask-rl]], [[representation-learning-rl]], [[auxiliary-predictive-objectives]], [[world-models-rl]], [[model-free-rl]], [[deep-rl-scaling]]
- 来源: https://arxiv.org/abs/2606.05555

## [2026-06-10] ingest | On the fibers and semi-algebraicity of ReLU neuromanifolds (arXiv:2606.02826, math.AG 2026)
- 添加论文 [[relu-neuromanifolds-semi-algebraicity]]: "ReLU Neuromanifolds" — ReLU神经流形不是半代数商，引入honest开子集概念
- 新增 8 个概念页: [[neuromanifold]], [[neuroalgebraic-geometry]], [[semi-algebraic-set]], [[honest-open-subset]], [[hidden-symmetries-neural]], [[parametrization-map]], [[scaling-permutation-symmetry]], [[fiber-of-parametrization]]
- 来源: https://arxiv.org/abs/2606.02826

## [2026-06-10] ingest | Minimax-Optimal Policy Regret in Partially Observable Markov Games (arXiv:2606.02363, ICML 2026)
- 添加论文 [[minimax-policy-regret-pomg]]: "Minimax-Optimal Policy Regret in POMGs" — O(sqrt(T)) minimax 最优策略后悔，epoch-based 乐观 MLE 算法
- 新增 12 个概念页: [[partially-observable-markov-game]], [[policy-regret]], [[eluder-dimension]], [[observable-operator-model]], [[posterior-lipschitz-adversary]], [[weak-revealing-condition]], [[causal-decomposition-pomg]], [[epoch-based-optimistic-mle]], [[minimax-optimality]], [[pomdp]], [[adaptive-adversary]], [[fading-memory]]
- 来源: https://arxiv.org/abs/2606.02363

## [2026-06-10] ingest | Principled Uncertainty in Clinical AI: 端到端贝叶斯建模与算法公平性审计 (arXiv:2606.09789, 2026)
- 添加论文 [[principled-uncertainty-clinical-ai]]: "Principled Uncertainty in Clinical AI" — 端到端贝叶斯不确定性建模 + 不确定性作为公平性信号
- 新增 12 个概念页: [[epistemic-uncertainty]], [[aleatoric-uncertainty]], [[uncertainty-quantification]], [[bayesian-deep-learning]], [[expected-calibration-error]], [[uncertainty-equity-gap]], [[uncertainty-disparity-ratio]], [[precision-weighted-fusion]], [[mc-dropout]], [[algorithmic-equity]], [[clinical-ai]], [[variational-autoencoder]]
- 来源: https://arxiv.org/abs/2606.09789





















## [2026-06-10] ingest | Pydantic 三件套：从校验库到 AI 基础设施 (微信公众号, 2026)
- 添加文章 [[pydantic-three-piece-suite]]: "Pydantic 三件套" — pydantic-core (Rust 引擎) + Logfire (OTel 可观测) + Pydantic AI (类型安全 Agent)，渐进路线图
- 新增 9 个概念页: [[pydantic]], [[pydantic-core]], [[logfire]], [[pydantic-ai]], [[typeadapter]], [[open-telemetry]], [[structured-output]], [[drift-detection]], [[type-safety-in-agents]]
- 更新概念: [[agent-observability|Agent 可观测性]]（追加 Logfire/漂移检测/Pydantic 三件套引用）
- 来源: https://mp.weixin.qq.com/s/jg6lW3ObZooBsrWTGwIcRg

## [2026-06-10] ingest | OneReason: 生成式推荐中的推理能力解锁 (arXiv:2606.06260, 2026)
- 添加论文 [[onereason]]: "OneReason" — 生成式推荐推理模型，Perception-Cognition 双支柱 + R0-R3 四层推理 + Specialize-then-Unify RL
- 新增 13 个概念页: [[onerec]], [[generative-recommendation]], [[itemic-tokens]], [[recommendation-reasoning]], [[recommendation-cot]], [[perception-cognition-recommendation]], [[onereason-bench]], [[abductive-reasoning-recommendation]], [[specialize-then-unify-rl]], [[rejection-sampling-fine-tuning]], [[multi-teacher-on-policy-distillation]], [[thinking-supervision-transfer]], [[itemic-text-alignment]]
- 更新概念: [[chain-of-thought|思维链]]
- 来源: https://arxiv.org/abs/2606.06260

## [2026-06-08] ingest | LeWorldModel: Stable End-to-End JEPA from Pixels (arXiv:2603.19312, 2026)
- 添加论文 [[maes-leworldmodel-2026]]: "LeWorldModel" — 首个端到端 JEPA 世界模型，15M 参数，仅 2 项损失 + 1 超参
- 新增 1 个概念页: [[pldm]] (LeWM 对比基线)
- 已有概念复用: [[leworldmodel]], [[jepa]], [[sigreg]], [[representation-collapse]], [[world-model-lecun]], [[abstract-representation-space]]
- 来源: https://arxiv.org/abs/2603.19312

## [2026-06-08] ingest | LeCun 论 LLM 的边界与未来架构 (Datawhale, 2026)
- 添加文章 [[lecun-llm-boundary-future]]: "LeCun 论 LLM 的边界与未来架构" — 系统梳理 LeCun 对 LLM 未来方向的 8 大核心判断
- 新增 14 个概念页: [[jepa]], [[world-model-lecun]], [[vla-vision-language-action]], [[objective-driven-ai]], [[representation-collapse]], [[sigreg]], [[tapestry-federated]], [[sovereign-ai]], [[vicreg]], [[leworldmodel]], [[action-consequence-prediction]], [[multi-step-planning]], [[abstract-representation-space]], [[data-wall]]
- 来源: https://mp.weixin.qq.com/s/Zau10ioTWzhj0KOImpasNg

## [2026-06-07] ingest | 窃取无穷的数学家 (Quanta Magazine / 环球科学 2026)
- 添加文章 [[cantor-stole-infinity]]: "窃取无穷的数学家" — 康托尔1874年论文隐藏狄德金贡献的历史真相
- 新增 9 个概念页: [[georg-cantor]], [[richard-dedekind]], [[infinity-hierarchy]], [[countable-uncountable-infinity]], [[algebraic-numbers-countability]], [[emmy-noether]], [[leopold-kronecker]], [[mathematical-priority-disputes]], [[set-theory-history]]
- 来源: https://mp.weixin.qq.com/s/xJwwHWAbBsS8NWiNeLbtNQ (原刊 Quanta Magazine: The Man Who Stole Infinity)
## [2026-06-05] ingest | Stem: Rethinking Causal Information Flow in Sparse Attention (arXiv:2603.06274, 2026)
- 添加论文 [[niu-stem-causal-sparse-attention]]: "Stem: Rethinking Causal Information Flow in Sparse Attention" — 从因果信息流视角重新思考稀疏注意力，TPD+OAM 双组件
- 新增 4 个概念页: [[stem-sparse-attention]], [[causal-information-flow]], [[token-position-decay]], [[output-aware-metric]]
- 来源: https://arxiv.org/abs/2603.06274

## [2026-06-05] ingest | Token Economics for LLM Agents: A Dual-View Study from Computing and Economics (arXiv:2605.09104, 2026)
- 添加论文 [[chen-token-economics-llm-agents]]: "Token Economics for LLM Agents" — 首个 Token Economics 综述, 四维分类法 (Micro/Meso/Macro/Security)
- 新增 9 个概念页: [[token-economics]], [[token-as-economic-primitive]], [[micro-level-token-economics]], [[meso-level-token-economics]], [[macro-level-token-economics]], [[token-security-economics]], [[agent-token-budget-optimization]], [[differentiable-token-budgeting]], [[token-market-dynamics]]
- 来源: https://arxiv.org/abs/2605.09104
- GitHub: https://github.com/SuDIS-ZJU/Token-Economics

## [2026-06-05] ingest | Auditing Agent Harness Safety (arXiv:2605.14271, 2026)
- 添加论文 [[liu-auditing-agent-harness-safety]]: "Auditing Agent Harness Safety" — Agent 骨架安全三层审计框架
- 新增 13 个概念页: [[agent-harness-safety]], [[harnessaudit]], [[boundary-compliance]], [[execution-fidelity]], [[system-stability]], [[trajectory-auditing]], [[multi-agent-safety]], [[information-flow-control]], [[resource-access-control]], [[safety-adherence-rate]], [[policy-constrained-execution]], [[execution-harness]], [[hidden-audit-channel]]
- 来源: https://arxiv.org/abs/2605.14271

## [2026-06-04] ingest | IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review (arXiv:2604.22861, 2026)
- 添加论文 [[ma-intragent-2026]]: "IntrAgent" — 内容锚定的文献信息检索Agent，两阶段管道：Section Ranking + Iterative Reading，13.2% accuracy gain
- 新增 15 个概念页: [[intraview]], [[intragent]], [[section-ranking]], [[iterative-reading]], [[hierarchy-preservation]], [[sufficiency-check]], [[intrabench]], [[content-grounded-retrieval]], [[scientific-literature-qa]], [[mineru]], [[hallucination-mitigation]], [[cross-section-synthesis]], [[content-question-answering]], [[faithfulness-in-ai]], [[pdf-processing]]
- 来源: https://arxiv.org/abs/2604.22861
- 代码: https://github.com/FengboMa/IntrAgent | 数据集: https://huggingface.co/datasets/IntrAgent/IntraBench

## [2026-06-03] ingest | Reconciling Contradictory Views on the Effectiveness of SFT in LLMs: An Interaction Perspective (arXiv:2605.17967, 2026)
- 添加论文 [[zhang-reconciling-sft-interaction-2026]]: "Reconciling Contradictory Views on SFT in LLMs" — 从交互视角揭示SFT两阶段动力学：极短去噪阶段+漫长过拟合阶段
- 新增 10 个核心概念页: [[interaction-based-explanation]], [[and-or-interactions]], [[interaction-types-sft]], [[sft-denoising-stage]], [[interaction-generalizability]], [[uncancelled-interaction-effects]], [[interaction-order]], [[logical-model-interaction]], [[sft-early-stopping]], [[preserved-interactions-backbone]]
- 新增 6 个占位符概念: [[supervised-fine-tuning]], [[rlhf]], [[dpo]], [[shapley-values]], [[catastrophic-forgetting]], [[in-context-learning]]
- 来源: https://arxiv.org/abs/2605.17967
## [2026-06-02] ingest | One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning (arXiv:2504.18246, ICML 2025 Workshop)
- 添加论文 [[goru-one-pass-to-reason-2025]]: "One-Pass to Reason — 多轮推理的高效单遍微调" — Token复制+分块稀疏注意力掩码，将多轮推理训练从O(N³)降至O(N²)，1.05×–1.22×加速
- 新增 8 个概念页: [[one-pass-fine-tuning]], [[token-duplication]], [[block-sparse-attention]], [[multi-turn-reasoning]], [[visibility-constraint]], [[position-id-discrepancy]], [[k-pass-training]], [[mathchatsync-reasoning]]
- 来源: https://arxiv.org/abs/2504.18246
- 代码: https://github.com/devrev/One-Pass-to-Reason

## [2026-06-01] ingest | Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics (arXiv:2602.02343, 2026)
- 添加论文 [[xu-why-steering-works]]: "Why Steering Works — 语言模型参数动态的统一视角" — 统一动态权重更新框架，Preference-Utility 解耦分析，激活流形假说，SPLIT 联合优化方法
- 新增 16 个概念页: [[dynamic-weight-updates]], [[preference-utility-analysis]], [[activation-manifold]], [[validity-decay]], [[steering-dynamics]], [[split-steering]], [[preference-log-odds]], [[intervention-multiplier]], [[representation-validity]], [[lora]], [[activation-steering]], [[linear-representation-hypothesis]], [[model-steering]], [[steering-vector]], [[controlled-text-generation]], [[representation-space]]
- 来源: https://arxiv.org/abs/2602.02343
- 代码: https://github.com/zjunlp/EasyEdit/blob/main/examples/SPLIT.md

## [2026-05-31] ingest | ToolCUA: Optimal GUI-Tool Path Orchestration (arXiv:2605.12481, 2026)
- 添加论文 [[toolcua-optimal-gui-tool-orchestration]]: "ToolCUA: 面向CUA的最优GUI-Tool路径编排" — 通过合成数据+分阶段RL学习GUI-Tool杂交动作空间的最优切换策略
- 新增 8 个概念页: [[computer-use-agents]], [[gui-tool-hybrid-action-space]], [[optimal-gui-tool-path-selection]], [[interleaved-gui-tool-trajectory-scaling]], [[tool-bootstrapped-rft]], [[tool-efficient-path-reward]], [[osworld-mcp]], [[next-state-grounding]]
- 来源: https://arxiv.org/abs/2605.12481
- 代码: https://github.com/X-PLUG/ToolCUA

## [2026-05-30] — ingest-supplement | Agent Harness Engineering: A Survey (TMLR 2026)
- 补充 8 个概念页：[[agent-observability]], [[agent-verification]], [[agent-governance]], [[practitioner-research-gap]], [[agent-sandbox]], [[context-drift]], [[three-engineering-phases]], [[multi-agent-orchestration]]
- 保存完整 PDF 至 raw/papers/agent-harness-engineering-survey-2026.pdf
- 原始论文已于 2026-05-23 部分集成（paper 主页面 + 17 个核心概念），本次补充 ETCLOVG 独立层概念和跨层概念

## [2026-05-29] ingest | Agent Symbolic Learning (arXiv:2406.18532, arXiv cs.CL 2024)
- 添加论文 [[zhou-agent-symbolic-learning-2024]]: "Symbolic Learning Enables Self-Evolving Agents" — Agent作为符号网络，模仿BP+GD实现自进化（SkillOpt/Heuristic Learning的重要前驱）
- 新增 6 个概念页: [[agent-symbolic-learning]], [[symbolic-network]], [[language-gradient]], [[language-loss]], [[symbolic-backpropagation]], [[self-evolving-agents]]
- 来源: https://arxiv.org/abs/2406.18532
- 作者: Wangchunshu Zhou et al. (AIWaves)

## [2026-05-29] ingest | UltraData L3开源与数据分级治理 (Datawhale, 面壁智能)
- 添加文章 [[ultradata-l3-open-source-2026]]: "UltraData：面壁智能L3数据开源与L0-L4数据分级治理体系" — 600B合成数据+千万SFT，MiniCPM5-1B登顶
- 新增 6 个概念页: [[data-hierarchical-governance]], [[ultradata]], [[synthetic-data-qa-generation]], [[stage-matched-data-config]], [[deep-thinking-sft]], [[data-quality-over-scale]]
- 来源: https://mp.weixin.qq.com/s/5jV2jYuXJloKX5IWCzrSpw

## [2026-05-29] ingest | SkillOpt深度解读 (微信公众号, 吕明, ~1.2万字)
- 添加文章 [[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" — 文本vs权重优化的深层分野、受控自主性、数据飞轮、双层RL
- 新增 5 个概念页: [[text-vs-weight-optimization]], [[controlled-autonomy]], [[skill-data-flywheel]], [[skill-ecosystem]], [[dual-layer-rl]]
- 来源: https://mp.weixin.qq.com/s/s__fdyXQG932SavQeeugcw

## [2026-05-29] ingest | SkillOpt (arXiv:2605.23904, arXiv cs.AI 2026)
- 添加论文 [[yang-skillopt-2026]]: "SkillOpt: Executive Strategy for Self-Evolving Agent Skills" — 首个系统性 Agent Skill 文本空间优化器，52/52 best，平均+23.5 pts
- 新增 7 个概念页: [[skillopt]], [[text-space-optimizer]], [[textual-learning-rate]], [[held-out-validation-gate]], [[rejected-edit-buffer]], [[slow-meta-update]], [[skill-as-external-state]]
- 来源: https://arxiv.org/abs/2605.23904
- 作者: Yifan Yang et al. (Microsoft, SJTU, Tongji, Fudan)

## [2026-05-29] ingest | Model与Harness的关系演进 (微信公众号, 吕明)
- 添加文章 [[lyu-model-harness-evolution-2026]]: "Model与Harness的关系演进：从AutoHarness到Heuristic Learning" — GenAI三支柱、策略与工程统一、编译型AI新范式
- 新增 6 个概念页: [[model-harness-relationship]], [[harness-engineering]], [[heuristic-learning]], [[strategy-engineering-unification]], [[compiled-ai-paradigm]], [[generative-general-unification]]
- 来源: https://mp.weixin.qq.com/s/PglkqhlSoI7LEOb3AOHl8g
- 作者: 吕明

## [2026-05-29] ingest | AutoHarness (arXiv:2603.03329, arXiv cs.CL 2026)
- 添加论文 [[lou-autoharness-2026]]: "AutoHarness: improving LLM agents by automatically synthesizing a code harness" — 自动合成代码harness消除Agent非法动作，Code-as-Policy超越GPT-5.2-High
- 新增 7 个概念页: [[autoharness]], [[code-as-harness]], [[harness-as-action-verifier]], [[harness-as-policy]], [[thompson-sampling-code-search]], [[iterative-code-refinement]], [[action-applicability]]
- 来源: https://arxiv.org/abs/2603.03329
- 作者: Xinghua Lou, Miguel Lázaro-Gredilla, Antoine Dedieu, Carter Wendelken, Wolfgang Lehrach, Kevin P. Murphy (Google DeepMind)

## [2026-05-29] ingest | 分布式Agent缓存同步 (微信公众号)
- 添加文章 [[distributed-agent-cache-sync-2026]]: "分布式Agent缓存同步" — 多机分布式Prompt Caching架构的工业级工程实践（量化交易场景）
- 新增 10 个概念页: [[distributed-prompt-caching]], [[cache-cold-start]], [[global-context-hash-tree]], [[active-cache-warmup]], [[shadow-calling]], [[distributed-optimistic-locking]], [[bypass-network-handle-distribution]], [[context-pruning]], [[trading-lifecycle-driven-eviction]], [[distributed-cache-routing]]
- 来源: https://mp.weixin.qq.com/s/MUWV7eug14bktUMlqsxfQw
- 类型: 微信公众号技术文章 (LLM + 量化交易系列)

## [2026-05-29] ingest | Token Superposition Training (arXiv:2605.06546, arXiv cs.CL 2026)
- 添加论文 [[peng-tst-2026]]: "Efficient Pre-Training with Token Superposition" — TST 两阶段预训练方法，等 loss 下 2.5× 训练加速
- 新增 7 个概念页: [[token-superposition-training]], [[multi-hot-cross-entropy]], [[input-superposition]], [[two-phase-pretraining]], [[representation-alignment]], [[coarse-to-fine-granularity]], [[throughput-hypothesis]]
- 来源: https://arxiv.org/abs/2605.06546
- 作者: Bowen Peng, Théo Gigant, Jeffrey Quesnelle (Nous Research)

## [2026-05-26] ingest | The Bayesian Geometry of Transformer Attention (arXiv:2512.22471, 2026)
- 添加论文 [[agarwal-bayesian-attention-geometry]]: "The Bayesian Geometry of Transformer Attention" — Bayesian Attention Trilogy Paper I
- 新增 8 个概念页: [[bayesian-wind-tunnels]], [[inference-primitives]], [[belief-accumulation]], [[belief-transport]], [[random-access-binding]], [[primitive-completeness]], [[bayesian-attention-geometry]], [[bayesian-attention-trilogy]]
- 来源: https://arxiv.org/abs/2512.22471

## [2026-05-26] ingest | 时序预测增强方法综述：TPS (WeChat Article, DeepHub/数据派THU, 2026)
- 添加文章 [[temporal-patch-shuffle-tps]]: "时序预测增强方法综述：从频域到 TPS" — 涵盖频域/时频域/分解/Patch 四类方法
- 新增 8 个概念页: [[temporal-patch-shuffle]], [[time-series-forecasting-augmentation]], [[data-label-consistency]], [[freqmask-freqmix]], [[wavemask-wavemix]], [[dominant-shuffle]], [[staug]], [[forecasting-augmentation-taxonomy]]
- 来源: https://mp.weixin.qq.com/s/hPvx3OflUva1olME9F8FoA

## [2026-05-26] ingest | 从零搭建 Mini Agent Harness (WeChat Article, 2026)
- 添加文章 [[mini-agent-harness]]: "从零搭建 Mini Agent Harness" — 陈思州/Datawhale
- 新增 8 个概念页: [[agent-harness-mini]], [[agent-eval-trace]], [[agent-eval-grader]], [[agent-eval-case-design]], [[agent-computer-interface]], [[terminal-bench]], [[anthropic-agent-evals]], [[swe-bench]]
- 来源: https://mp.weixin.qq.com/s/yVFQej3dFk9KHv6J2u6Lew

## [2026-05-23] ingest | Generative Recursive Reasoning (GRAM) (arXiv:2605.19376, 2026)
- 添加论文 [[gram-generative-recursive-reasoning-paper]]: "Generative Recursive Reasoning" — 将确定性递归推理升级为概率性多轨迹计算（Baek, Jo, Kim, Ren, Bengio, Ahn; KAIST/Mila/NYU/UdeM）
- 新增 11 个概念页: [[recursive-reasoning-models]], [[gram-generative-recursive-reasoning]], [[stochastic-latent-trajectory]], [[multi-trajectory-inference]], [[inference-time-scaling]], [[width-based-scaling]], [[latent-variable-generative-model]], [[amortized-variational-inference]], [[

... [OUTPUT TRUNCATED - 1068 chars omitted out of 51068 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`