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, variational-linearized-laplace-approximation, fixed-mean-gaussian-process, pac-bayesian-bounds, implicit-processes, function-space-modeling, generalization-bounds, double-descent, deep-gaussian-process, gaussian-process
• 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, spectral-mdp-decomposition, task-invariant-representation, task-conditioned-policy, quadrotor-trajectory-following, upstream-downstream-learning, soft-actor-critic, task-distribution
• 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, universal-approximation-theorem, nachbin-theorem, weighted-spaces, infinite-dimensional-manifolds, bastiani-calculus, non-anticipative-functionals, 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, latent-score-mdp, state-dependent-feasible-action-sets, action-decoder, post-action-configuration, taylor-expansion-q-function, queueing-network-control, btsd-ppo, continuation-value-function
• 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, polysemanticity, mechanistic-interpretability, formal-concept-analysis, concept-learning, feature-splitting, feature-absorption, feature-family, absolute-gating, hyperplane-arrangements, concept-lattice, superposition
• 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, stochastic-differential-equation, wiener-process, ito-calculus, two-time-scale-process, exploratory-dynamics, linearized-neural-network, infinite-width-limit, neural-tangent-kernel, martingale-clt, linear-quadratic-regulator, control-affine-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, coconut, soft-token, hard-token, hybrid-reasoning, hrpo, token-wise-routing, action-routing-policy, action-head-router, reparameterization-exploration, gumbel-softmax, continuous-representation
• 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, conditional-intensity-function, hawkes-process, poisson-process, neural-temporal-point-process, bayesian-nonparametric-tpp, llm-based-temporal-point-process, marked-temporal-point-process, granger-causality-tpp, intensity-free-modeling, diffusion-based-tpp, tpp-training-methods, tpp-applications
• 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, adapter-protocol, bare-adapter, claw-swe-bench-lite, cost-aware-benchmarking, future-commit-cleanup, harness-model-interaction, openclaw, pareto-frontier-evaluation, patch-based-evaluation, 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（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
• 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, dual-space-rl, post-train-space-rl, negative-sample-reinforcement, positive-sample-reinforcement, 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, 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
• 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（数学）与 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