20260625:很多新内容

log.md

@@ -5,6 +5,226 @@
 > 操作类型：ingest, update, query, lint, create, archive, delete
 > 当此文件超过 500 条记录时，轮换：重命名为 log-YYYY.md，重新开始。
 
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## 2026-06-25 — ingest | Wan-Streamer v0.1 (arXiv:2606.25041, 2026)
+- 添加论文 [[wan-streamer]]: "Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models" — 阿里巴巴 Wan Team 的端到端流式全双工音视频交互基础模型
+- 新增 5 个概念页: [[block-causal-attention]], [[full-duplex-interaction]], [[thinker-performer-pipeline]], [[causal-multimodal-vae]], [[end-to-end-streaming-interaction]]
+- 更新 4 个已有概念页: [[flow-matching]], [[kv-cache]], [[diffusion-transformer]], [[native-streaming-ar-training]]
+- 来源: https://arxiv.org/abs/2606.25041
+
+
+## 2026-06-25 — ingest | Large Language Gibbs (arXiv:2606.19264, 2026)
+- 添加论文 [[large-language-gibbs]]: "Structured Inference with Large Language Gibbs" — Edinburgh 团队的 LLM + Gibbs 采样结构化概率推断框架
+- 新增 5 个概念页: [[llm-mcmc]], [[barker-gibbs]], [[gambling-gibbs]], [[order-bias-removal]], [[llm-consistent-reasoning]]
+- 来源: https://arxiv.org/abs/2606.19264
+
+
+## 2026-06-25 — ingest | Latent CoT Supervision (arXiv:2606.20075, ICML 2026)
+- 添加论文 [[latent-cot-supervision]]: "What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis" — 从信息论角度分析潜推理的有效监督机制
+- 新增 7 个概念页: [[dual-collapse]], [[trajectory-supervision]], [[space-supervision]], [[unified-latent-probe]], [[information-performance-binding]], [[generative-reconstruction-latent]], [[geometric-compression-latent]]
+- 来源: https://arxiv.org/abs/2606.20075
+
+## [2026-06-25] create | Agent Memory Five-Category Model (sz 记忆架构设计)
+- 新增概念 [[agent-memory-five-category-model]]: sz 五类记忆模型——知识/概念/Cron/用户绑定/前瞻记忆的完整分类与 Atlas 映射
+- 新增概念 [[prospective-memory-index]]: 前瞻记忆索引——第 5 类记忆（计划/想法/洞察）的锚点设计：语义关联衰减、LLM 重要性分类器、闭合状态管理
+- 更新 [[atlas-memory-system]]: 添加五类模型扩展与前瞻索引交叉引用
+
+## [2026-06-25] ingest | LongMemEval: Benchmarking Long-Term Interactive Memory (arXiv:2410.10813, UCLA/Tencent, ICLR 2025)
+- 添加论文 [[longmem-eval-2025]]: "LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory" — 500 题 × 5 能力记忆基准 + 三阶段统一框架
+- 新增 5 个概念页: [[long-term-interactive-memory]], [[longmem-eval]], [[memory-indexing-retrieval-reading]], [[fact-augmented-key-expansion]], [[time-aware-query-expansion]]
+- 来源: https://arxiv.org/abs/2410.10813
+
+## [2026-06-25] ingest | Engram: Conditional Memory via Scalable Lookup (arXiv:2601.07372, PKU/DeepSeek-AI)
+- 添加论文 [[engram-conditional-memory-2026]]: "Conditional Memory via Scalable Lookup" — 条件记忆作为 MoE 的互补稀疏轴
+- 新增 5 个概念页: [[conditional-memory]], [[engram]], [[sparsity-allocation]], [[ngram-embedding]], [[memory-compute-decoupling]]
+- 来源: https://arxiv.org/abs/2601.07372
+
+## [2026-06-24] ingest | Arbor: Hypothesis-Tree Refinement (arXiv:2606.11926, RUC/MSR)
+- 添加论文 [[arbor-htr-2026]]: "Toward Generalist Autonomous Research via Hypothesis-Tree Refinement" — Coordinator+Executor 架构 + 假设树持久化 + AO 形式化
+- 新增 5 个概念页: [[hypothesis-tree-refinement]], [[coordinator-executor-architecture]], [[autonomous-optimization-ao]], [[insight-backpropagation]], [[research-hypothesis-tree]]
+- 来源: https://arxiv.org/abs/2606.11926
+
+
+## [2026-06-24] ingest | ME² + TRM: Complex Reasoning Optimization (arXiv:2602.08498, ICML 2026)
+- 添加论文 [[me2-trm-reasoning-2026]]: "Characterizing, Evaluating, and Optimizing Complex Reasoning" — ME² 原则 + DAG 推理建模 + Thinking Reward Model
+- 新增 5 个概念页: [[me2-principle]], [[thinking-reward-model]], [[dag-reasoning-evaluation]], [[trm-preference-dataset]], [[reasoning-quality-optimization]]
+- 复用: [[large-reasoning-models]], [[reward-model]], [[grpo]]
+- 来源: https://arxiv.org/abs/2602.08498
+
+
+## [2026-06-24] ingest | Atlas Agent 记忆系统架构（公众号技术文章）
+- 添加文章 [[atlas-agent-memory-architecture-2026]]: "Atlas Agent 记忆系统架构" — 三索引分型 + BM25+dense 混合召回 + consolidation + soft-supersession
+- 新增 8 个概念页: [[atlas-memory-system]], [[agent-memory-taxonomy]], [[hybrid-recall-pipeline]], [[verbatim-pre-recall]], [[memory-consolidation]], [[soft-supersession]], [[per-index-time-decay]], [[gbrain-memory]]
+- 复用: [[bm25-financial-retrieval]]
+- 来源: https://mp.weixin.qq.com/s/fypjVWJBQg_MZV9OMfPpIA
+
+
+## [2026-06-24] ingest | VLA-JEPA (arXiv:2602.10098, cs.RO/cs.CV)
+- 添加论文 [[vla-jepa-2026]]: "VLA-JEPA" — JEPA 范式引入 VLA，leakage-free state prediction 修复 latent-action 预训练的信息泄漏
+- 新增 7 个概念页: [[vla-jepa]], [[leakage-free-state-prediction]], [[latent-world-model]], [[latent-action-pretraining]], [[information-leakage-vla]], [[jepa-for-robotics]], [[appearance-bias-vla]]
+- 复用: [[jepa]], [[vla-vision-language-action]], [[world-model-lecun]], [[flow-matching]]
+- 来源: https://arxiv.org/abs/2602.10098
+
+
+## [2026-06-24] ingest | The Personalization Trap (arXiv:2510.09905, cs.AI/cs.CL, Amazon)
+- 添加论文 [[personalization-trap-2025]]: "The Personalization Trap" — 用户记忆如何系统性改变 LLM 情感推理，优势画像比劣势画像获更准确情感解读
+- 新增 7 个概念页: [[personalization-trap]], [[user-memory-bias]], [[emotional-reasoning-bias]], [[social-capital-framework]], [[situational-test-emotional-understanding]], [[intersectional-persona-evaluation]], [[persona-invariant-reasoning]], [[dpo-bias-mitigation]]
+- 复用: [[dpo]]
+- 来源: https://arxiv.org/abs/2510.09905
+
+
+## [2026-06-24] ingest | Unlimited OCR Works (arXiv:2606.23050, cs.CV/cs.CL, Baidu)
+- 添加论文 [[unlimited-ocr-works-2026]]: "Unlimited OCR Works" — R-SWA 注意力机制实现恒定 KV cache 的一次前向长程 OCR
+- 新增 10 个概念页: [[reference-sliding-window-attention]], [[constant-kv-cache]], [[long-horizon-parsing]], [[deepseek-ocr]], [[deepencoder]], [[omnidocbench]], [[end-to-end-ocr]], [[unlimited-ocr]], [[megatron-lm]], [[sglang]]
+- 来源: https://arxiv.org/abs/2606.23050
+
+
+## [2026-06-24] ingest | 金融行业大模型落地实践（林金曙，DAcon 2026）
+- 添加文章 [[financial-llm-practice-2026]]: "金融行业大模型落地实践：从长文档检索到 Agent 工程" — 恒生电子金融 LLM 工程实践全链路分享
+- 新增 9 个概念页: [[pageindex]], [[agentic-rag]], [[financial-llm-requirements]], [[financial-llm-model-selection]], [[bm25-financial-retrieval]], [[agent-skill-atomization]], [[financial-agent-permission]], [[aidb]], [[financial-llm-deployment]]
+- 来源: https://mp.weixin.qq.com/s/3iObkj6BKhZzphJ1URVOKg
+
+
+## [2026-06-23] ingest | DCGWM: Dual-Channel Grounded World Modeling (arXiv:2606.18688, cs.LG/cs.AI 2026)
+- 添加论文 [[hazare-dcgwm-2026]]: "结构防止目标干扰坍缩的双通道接地世界建模" — 识别 OIC 新失效模式，提出分区潜在空间+内向梯度流架构
+- 新增 6 个概念页: [[objective-interference-collapse]], [[dcgwm]], [[inward-only-gradient-flow]], [[asymmetric-grounding-adherence-loss]], [[rollout-drift]], [[isolation-necessity-theorem]]
+- 复用已有概念: [[jepa]], [[vicreg]], [[world-models-rl]], [[representation-collapse]]
+- 来源: https://arxiv.org/abs/2606.18688
+- 注: Position paper, 实验验证进行中
+
+
+## [2026-06-23] ingest | Fisher Width: A Geometric Measure of Complexity on Statistical Manifolds (arXiv:2606.18306, cs.LG/stat.ML 2026)
+- 添加论文 [[vu-fisher-width-2026]]: "统计流形上的几何复杂度度量" — 将 Gaussian width 推广到 Fisher 几何，引入 Fisher width 及其泛化界
+- 新增 6 个概念页: [[fisher-width]], [[gaussian-width]], [[statistical-manifold]], [[fisher-lipschitz]], [[lifting-identity]], [[empirical-fisher]]
+- 复用已有概念: [[fisher-information-metric]], [[information-geometry]], [[generalization-bounds]], [[natural-gradient-descent]]
+- 来源: https://arxiv.org/abs/2606.18306
+
+
+## [2026-06-23] ingest | A Bifurcation Theory Framework for GD on the Edge of Stability (arXiv:2606.15551, cs.LG 2026)
+- 添加论文 [[gan-bifurcation-eos]]: "分岔理论框架下的梯度下降稳定边缘分析" — 将 EoS 稳定性归结为 flip 分岔的 c₁ 符号，统一乘积稳定性为特例
+- 新增 8 个概念页: [[edge-of-stability]], [[flip-bifurcation]], [[first-lyapunov-coefficient]], [[manifold-of-minimizers]], [[normal-tangent-decomposition]], [[sharpness]], [[product-stability]], [[center-manifold-theorem]]
+- 来源: https://arxiv.org/abs/2606.15551
+
+## [2026-06-22] ingest | NANO Filter — Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation (arXiv:2410.15832, eess.SY)
+- 添加论文 [[nano-filter]]: "NANO 自然梯度高斯近似滤波" — 跳出线性化框架，直接在 Gaussian 流形上优化后验
+- 新增 11 个概念页: [[bayesian-filtering]], [[kalman-filter]], [[natural-gradient-descent]], [[gaussian-filtering]], [[stein-lemma]], [[gibbs-posterior]], [[gaussian-manifold]], [[moment-matching-filter]], [[pseudo-huber-loss]], [[posterior-linearization-filter]], [[nano-filter]]
+- 1 个 Review: [[nano-filter-20260622]]
+- 来源: https://arxiv.org/abs/2410.15832
+
+## [2026-06-21] ingest | Jordan — A Collectivist, Economic Perspective on AI (arXiv:2507.06268, cs.CY)
+- 添加论文 [[jordan-collectivist-ai-2025]]: "AI 的集体主义经济学视角" — LLM 作为集体主义制品，三种思维方式的融合
+- 新增 4 个概念页: [[statistical-contract-theory]], [[e-values]], [[data-markets]], [[probability-matching]]
+- 1 个 Review: [[jordan-collectivist-ai-review-20260621]]
+- 更新已有概念: [[collectivist-ai]] (追加案例), [[prediction-driven-inference]] (追加 PPI 学术溯源)
+- 来源: https://arxiv.org/abs/2507.06268
+
+
+## [2026-06-21] ingest | Michael I. Jordan MLST访谈 — 机器之心编译
+- 添加文章 [[michael-jordan-mlst-collectivist-ai-2026]]: "AI 的集体主义经济学与虚假的 AGI 二元论"
+- 新增 6 个概念页: [[collectivist-ai]], [[uncertainty-taxonomy]], [[prediction-driven-inference]], [[foundation-model-frontier-bias]], [[anthropomorphization-critique]], [[agi-critique]]
+- 更新已有概念: [[uncertainty-quantification]] — 追加 Jordan 社会-经济扩展维度
+- 来源: https://mp.weixin.qq.com/s/VEo23R0yst6wjdyzVicYUQ (arXiv:2507.06268)
+
+
+## [2026-06-21] ingest | LLM沉默螺旋综述 — 数据派THU (李媛媛)
+- 添加文章 [[llm-spiral-of-silence-2026]]: "大模型沉默螺旋：当算法催生数字从众" — 系统性综述 LLM 在 RAG 闭环与多智能体交互中的算法驱动沉默螺旋
+- 新增 12 个概念页: [[spiral-of-silence]], [[pretraining-statistical-bias]], [[context-anchoring]], [[role-setting-entrenchment]], [[rlhf-alignment-amplification]], [[rag-closed-loop]], [[multi-agent-spiral]], [[content-homogenization]], [[information-cocoons]], [[content-diversity-decay]], [[opinion-polarization]], [[temperature-sampling]]
+- 更新已有概念: [[rlhf]], [[rag]] — 追加沉默螺旋维度交叉引用
+- 来源: https://mp.weixin.qq.com/s/ZKrx4BzmiOUBsfPVY9YHyw
+
+
+## [2026-06-20] ingest | MaineCoon (arXiv:2606.17800, cs.CV)
+- 添加论文 [[mainecoon]]: "MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model" — 首个实时流式音视频社交世界模型 (22B, 47.5 FPS)
+- 新增 15 个概念页: [[social-world-model]], [[self-resampling]], [[reinforced-online-policy-distillation]], [[agentic-streaming-inference]], [[agentic-cache-manager]], [[look-ahead-buffer-controller]], [[forward-repair-ladder]], [[socialvideo-bench]], [[audio-visual-representation-alignment]], [[domain-aware-preference-optimization]], [[audio-visual-generation]], [[autoregressive-video-generation]], [[streaming-generation]], [[diffusion-transformer]], [[social-video]], [[drifting]]
+- 1 个 Review: [[mainecoon-review-20260620]]
+- 来源: https://arxiv.org/abs/2606.17800
+
+## [2026-06-19] ingest | ACE-Router (arXiv:2601.08276, cs.AI)
+- 添加论文 [[yao-ace-router-2026]]: "ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web" — 训练专用路由器
+- 新增 7 个概念页: [[ace-router]], [[history-aware-routing]], [[candidate-graph]], [[self-evolutionary-mutation]], [[trajectory-synthesis]], [[light-routing-agent]], [[agent-web]]
+- 来源: https://arxiv.org/abs/2601.08276
+
+## [2026-06-19] ingest | Dynamic ReAct (arXiv:2509.20386, cs.SE)
+- 添加论文 [[gaurav-dynamic-react-2025]]: "Dynamic ReAct: Scalable Tool Selection for Large-Scale MCP Environments" — 五架构→Search and Load 最优
+- 新增 6 个概念页: [[dynamic-react]], [[meta-tools]], [[search-and-load]], [[context-enriched-embeddings]], [[default-tools]], [[tool-registry]]
+- 来源: https://arxiv.org/abs/2509.20386
+
+## [2026-06-19] ingest | MCP-Zero (arXiv:2506.01056, cs.AI)
+- 添加论文 [[fei-mcp-zero-2025]]: "MCP-Zero: Active Tool Discovery for Autonomous LLM Agents" — 主动工具发现范式
+- 新增 6 个概念页: [[active-tool-discovery]], [[active-tool-request]], [[hierarchical-semantic-routing]], [[iterative-capability-extension]], [[mcp-protocol]], [[mcp-tools-dataset]]
+- 来源: https://arxiv.org/abs/2506.01056
+
+## [2026-06-19] ingest | MemOS Agent 记忆基础设施（熊飞宇/MemTensor, DataFun）
+- 添加文章 [[memtensor-memos-agent-memory-2026]]: MemOS 记忆系统从效率工具到生存关键
+- 新增 9 个概念页: [[agent-memory-system]], [[layered-memory-architecture]], [[model-driven-vs-app-driven-memory]], [[mem2skill]], [[memory-governance]], [[clawforce]], [[agent-memory-lifecycle]], [[memcube]], [[memory-dedup-pipeline]]
+- 来源: https://mp.weixin.qq.com/s/5Wo91nzstNtCIV9chnuQmw
+
+## [2026-06-19] ingest | Six Choices Every AI Engineer Has to Make (Nobrega, 数据派THU)
+- 添加文章 [[nobrega-ai-production-tradeoffs-2026]]: AI 工程师的 6 种生产权衡
+- 新增 9 个概念页: [[ai-production-tradeoffs]], [[build-vs-buy-llm]], [[cace-principle]], [[ml-technical-debt]], [[data-quality-vs-quantity]], [[batch-vs-real-time-inference]], [[prompt-engineering-vs-fine-tuning]], [[human-in-the-loop]], [[selective-hitl]], [[data-swamp]]
+- 来源: https://mp.weixin.qq.com/s/GESoyR0qpxP4fPtHZjonKA
+
+## [2026-06-19] ingest | Agent Skills Survey (arXiv:2605.07358)
+- 添加论文 [[zhou-agent-skills-survey-2026]]: "A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications" — agent skill 生命周期的系统性综述
+- 新增 12 个概念页: [[agent-skill]], [[procedural-gap]], [[skill-lifecycle]], [[skill-representation]], [[skill-acquisition]], [[skill-retrieval]], [[skill-selection]], [[skill-evolution]], [[skill-composition]], [[agent-skill-ecosystem]], [[passive-vs-active-knowledge]], [[runtime-governance]]
+- 来源: https://arxiv.org/abs/2605.07358
+
+## [2026-06-18] ingest | Transformers are SSMs: Structured State Space Duality (arXiv:2405.21060, ICML 2024)
+- 添加论文 [[dao-transformers-are-ssms-2024]]: "Transformers are SSMs" — Dao & Gu 提出 SSD 框架统一 SSM 和 Attention，设计 Mamba-2 架构 (2-8x 加速)
+- 新增 9 个概念页: [[structured-state-space-duality]], [[semiseparable-matrices]], [[structured-masked-attention]], [[mamba-2]], [[ssd-algorithm]], [[linear-attention]], [[selective-state-space-models]], [[tensor-contraction-duality]], [[head-structure-ssm]]
+- 更新已有: [[mamba-ssm]], [[state-space-models]] — 添加 Mamba-2 反向链接
+- 来源: https://arxiv.org/abs/2405.21060
+
+## [2026-06-18] ingest | Thinking-Based Non-Thinking (arXiv:2601.04805, Preprint)
+- 添加论文 [[gan-thinking-based-non-thinking-2026]]: "Thinking-Based Non-Thinking" — TNT: 利用思考模式 solution 长度动态限制非思考 token，解决混合推理模型的 Reward Hacking
+- 新增 10 个概念页: [[hybrid-reasoning-models]], [[reward-hacking]], [[overthinking]], [[thinking-based-non-thinking]], [[dynamic-token-limit]], [[non-thinking-mode]], [[thinking-mode]], [[ellipsis-prompt]], [[large-reasoning-models]], [[token-level-policy-gradient]]
+- 来源: https://arxiv.org/abs/2601.04805
+
+## [2026-06-18] ingest | RWKV-7 "Goose" with Expressive Dynamic State Evolution (arXiv:2503.14456)
+- 添加论文 [[peng-rwkv7]]: "RWKV-7 Goose" — 广义 Delta 规则 + 向量值门控，首个超越 TC^0 的并行化 RNN
+- 新增 8 个概念页: [[rwkv]], [[delta-rule]], [[generalized-delta-rule]], [[vector-valued-gating]], [[in-context-learning-rate]], [[dynamic-state-evolution]], [[token-shift]], [[wkv-time-mixing]], [[regular-language-recognition]]
+- 更新: [[enhanced-state-space-models]] (扩充 RWKV-7 小节)
+- 新增 review: [[rwkv7-review-20260618]]
+- 来源: https://arxiv.org/abs/2503.14456 | 代码: https://github.com/RWKV/RWKV-LM
+
+## [2026-06-18] ingest | Mamba: Linear-Time Sequence Modeling with Selective State Spaces (arXiv:2312.00752)
+- 添加论文 [[gu-mamba]]: "Mamba" — 选择性状态空间模型，线性时间序列建模
+- 新增 7 个概念页: [[selective-state-space]], [[hardware-aware-algorithm]], [[structured-state-space-models]], [[content-based-reasoning]], [[selective-copy]], [[induction-heads]], [[hippo]]
+- 更新 2 个已有概念页: [[mamba-ssm]] (大幅扩充), [[state-space-models]] (追加论文引用)
+- 新增 review: [[mamba-review-20260618]]
+- 来源: https://arxiv.org/abs/2312.00752 | 代码: https://github.com/state-spaces/mamba
+
+## [2026-06-18] ingest | Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction (arXiv:2602.08585, ICML 2026)
+- 添加论文 [[tang-lukv]]: "LU-KV" — 基于全局组合优化的 head 级 KV Cache 预算分配框架
+- 新增 18 个概念页: [[kv-cache]], [[kv-cache-eviction]], [[lukv]], [[oracle-importance]], [[optimality-gap]], [[long-horizon-utility]], [[marginal-utility]], [[global-combinatorial-optimization]], [[convex-hull-relaxation]], [[offline-profiling]], [[head-level-budget-allocation]], [[intra-head-eviction]], [[cross-head-budget-allocation]], [[heuristic-metric]], [[snapkv]], [[pyramidkv]], [[adkv]], [[keydiff]]
+- 新增 review: [[lukv-review-20260618]]
+- 来源: https://arxiv.org/abs/2602.08585
+
+## [2026-06-18] ingest | The Topological Trouble With Transformers (arXiv:2604.17121, Preprint)
+- 添加论文 [[mozer-topological-trouble-transformers-2026]]: "The Topological Trouble With Transformers" — 分析前馈 Transformer 状态追踪的拓扑性局限并提出循环架构分类法
+- 新增 16 个概念页: [[state-tracking]], [[feedforward-depth-limitation]], [[belief-state]], [[depth-dilemma]], [[recurrent-transformer-architectures]], [[recurrence-taxonomy]], [[depth-recurrence]], [[step-recurrence]], [[coarse-grained-recurrence]], [[latent-thought-models]], [[attractor-dynamics]], [[enhanced-state-space-models]], [[representational-alignment]], [[sequential-dependency]], [[autoregressive-unrolling]], [[state-space-models]]
+- 来源: https://arxiv.org/abs/2604.17121
+
 ## [2026-06-17] ingest | Uncertainty Estimation and Generalization Bounds for Modern Deep Learning (PhD Thesis, arXiv:2606.13818, cs.LG 2026)
 - 添加论文 [[ortega-phd-thesis]]: "Uncertainty Estimation and Generalization Bounds" — PhD论文，DVIP + VaLLA + FMGP + PAC-Chernoff泛化界
 - 新增 10 个概念页: [[deep-variational-implicit-process|DVIP]], [[variational-linearized-laplace-approximation|VaLLA]], [[fixed-mean-gaussian-process|FMGP]], [[pac-bayesian-bounds|PAC-Bayesian界]], [[implicit-processes|隐式过程]], [[function-space-modeling|函数空间建模]], [[generalization-bounds|泛化界]], [[double-descent|双下降]], [[deep-gaussian-process|深度GP]], [[gaussian-process|GP]]
@@ -49,224 +269,8 @@
 
 ## [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] ...
+... [OUTPUT TRUNCATED - 538 chars omitted out of 50538 total] ...
 
 , [[lifecycle-orchestration]], [[observability]], [[verification-evaluation]], [[governance-security]], [[cost-quality-speed-trilemma]], [[capability-control-tradeoff]], [[harness-coupling-problem]], [[binding-constraint-thesis]], [[prompt-to-harness-evolution]], [[trace-native-evaluation]], [[standard-agent-handoffs]], [[adaptive-harness-simplification]], [[hardening-execution-environments]], [[reliable-state-long-running-agents]], [[context-state-estimation]], [[agent-frameworks-to-platforms]]
 - 来源: 用户上传 PDF（用户 o9cq80wQvcn_qxHaHlEso2Bn3qoU@im.wechat）