Sync 863: Jul 28-30 sweep + evidence-label legend

README.de.md

@@ -28,7 +28,7 @@ Ein Loop entdeckt Arbeit, übergibt sie an einen oder mehrere Agenten, prüft da
 
 Loop Engineering umfasst wiederkehrende KI-Agenten- und Coding-Agent-Systeme mit expliziten Auslösern, Verifikation und dauerhaftem Zustand. Software-Event-Loops, Regelungstechnik, Growth Loops, generische Automatisierung und nicht-KI-bezogene Feedback-Loops gehören nicht dazu.
 
-Starte mit 797 Ressourcen, 20 operativen Loop-Patterns, 20 schemavalidierten Loop-Contracts und 8 Runtime-Startern (3 ausführbare Programme und 5 anpassbare Vorlagen), ergänzt durch eine Community-Galerie und 8 Sprachen.
+Starte mit 863 Ressourcen, 20 operativen Loop-Patterns, 20 schemavalidierten Loop-Contracts und 8 Runtime-Startern (3 ausführbare Programme und 5 anpassbare Vorlagen), ergänzt durch eine Community-Galerie und 8 Sprachen.
 
 ## Mentales Modell
 

README.es.md

@@ -28,7 +28,7 @@ Un loop descubre trabajo, lo delega a uno o más agentes, verifica el resultado,
 
 Loop Engineering abarca sistemas recurrentes de agentes de IA y coding agents con disparadores explícitos, verificación y estado duradero. No incluye event loops de software, teoría de control, growth loops, automatización genérica ni feedback loops no relacionados con IA.
 
-Empieza con 797 recursos, 22 patrones operativos, 22 loop contracts validados por esquema y 8 puntos de partida de runtime (3 ejecutables y 5 plantillas listas para adaptar), además de una galería comunitaria y 8 idiomas.
+Empieza con 863 recursos, 22 patrones operativos, 22 loop contracts validados por esquema y 8 puntos de partida de runtime (3 ejecutables y 5 plantillas listas para adaptar), además de una galería comunitaria y 8 idiomas.
 
 ## Modelo Mental
 

README.fr.md

@@ -28,7 +28,7 @@ Un loop découvre du travail, le délègue à un ou plusieurs agents, vérifie l
 
 Loop Engineering couvre les systèmes récurrents d'agents IA et de coding agents avec des déclencheurs explicites, une vérification et un état durable. Il n'inclut ni les event loops logiciels, ni la théorie du contrôle, ni les growth loops, ni l'automatisation générique, ni les feedback loops sans rapport avec l'IA.
 
-Commencez avec 797 ressources, 22 patterns opérationnels, 22 loop contracts validés par schéma et 8 points de départ d'exécution (3 exécutables et 5 modèles prêts à adapter), ainsi qu'une galerie communautaire et 8 langues.
+Commencez avec 863 ressources, 22 patterns opérationnels, 22 loop contracts validés par schéma et 8 points de départ d'exécution (3 exécutables et 5 modèles prêts à adapter), ainsi qu'une galerie communautaire et 8 langues.
 
 ## Modèle Mental
 

README.ja.md

@@ -28,7 +28,7 @@ Loop は作業を発見し、1 つ以上の agents に委任し、結果を確
 
 Loop Engineering は、明示的なトリガー、検証、永続状態を備えた反復型 AI agent / coding agent システムを対象とします。software event loop、制御理論、growth loop、一般的な workflow automation、非 AI の feedback loop は含みません。
 
-797 件の監査済みリソース、22 個の運用パターン、22 個の schema 検証済み loop contract、8 個の runtime starter（3 個の実行ファイルと 5 個の適応可能なテンプレート）から始められます。コミュニティ gallery と 8 言語の導入も利用できます。
+863 件の監査済みリソース、22 個の運用パターン、22 個の schema 検証済み loop contract、8 個の runtime starter（3 個の実行ファイルと 5 個の適応可能なテンプレート）から始められます。コミュニティ gallery と 8 言語の導入も利用できます。
 
 ## メンタルモデル
 

README.ko.md

@@ -28,7 +28,7 @@ Loop 는 작업을 발견하고, 하나 이상의 agents 에게 위임하고,
 
 Loop Engineering 은 명시적 트리거, 검증, 지속 상태를 갖춘 반복 AI agent / coding agent 시스템을 다룹니다. software event loop, control theory, growth loop, 일반적인 workflow automation, 비 AI feedback loop 는 포함하지 않습니다.
 
-797개의 감사된 리소스, 22개의 운영 loop 패턴, 22개의 스키마 검증 loop contract, 8개의 runtime starter(실행 파일 3개와 적용 가능한 템플릿 5개)로 바로 시작할 수 있습니다. 커뮤니티 gallery 와 8개 언어 안내도 제공합니다.
+863개의 감사된 리소스, 22개의 운영 loop 패턴, 22개의 스키마 검증 loop contract, 8개의 runtime starter(실행 파일 3개와 적용 가능한 템플릿 5개)로 바로 시작할 수 있습니다. 커뮤니티 gallery 와 8개 언어 안내도 제공합니다.
 
 ## 멘탈 모델
 

README.pt-BR.md

@@ -28,7 +28,7 @@ Um loop descobre trabalho, delega para um ou mais agentes, verifica o resultado,
 
 Loop Engineering abrange sistemas recorrentes de AI agents e coding agents com gatilhos explícitos, verificação e estado durável. Não inclui event loops de software, teoria de controle, growth loops, automação genérica nem feedback loops sem relação com IA.
 
-Comece com 797 recursos, 22 patterns operacionais, 22 loop contracts validados por schema e 8 starters de runtime (3 executáveis e 5 templates prontos para adaptação), além de uma galeria comunitária e 8 idiomas.
+Comece com 863 recursos, 22 patterns operacionais, 22 loop contracts validados por schema e 8 starters de runtime (3 executáveis e 5 templates prontos para adaptação), além de uma galeria comunitária e 8 idiomas.
 
 ## Modelo Mental
 

README.zh-CN.md

@@ -32,7 +32,7 @@ Prompt engineering 改进你对模型说什么。Context engineering 改进模
 
 Loop Engineering 专指具备明确触发、外部验证和持久状态的可重复 AI-agent 与 coding-agent 系统，不包括软件事件循环、控制论、增长循环、通用 workflow automation 或非 AI feedback loop。
 
-可直接从 797 篇论文、官方文档、工具、benchmark 与实践指南，22 个操作模式、22 个经 schema 校验的 loop contracts 和 8 个 runtime starters（3 个可直接执行，5 个可复制改造）开始，并通过社区 gallery 和 8 种语言入口继续探索。
+可直接从 863 篇论文、官方文档、工具、benchmark 与实践指南，22 个操作模式、22 个经 schema 校验的 loop contracts 和 8 个 runtime starters（3 个可直接执行，5 个可复制改造）开始，并通过社区 gallery 和 8 种语言入口继续探索。
 
 ## 一句话定位
 

assets/MEDIA_KIT.md

@@ -14,11 +14,11 @@ The original 1200x630 cover presents Loop Engineering as the operating layer abo
 
 ### One Sentence
 
-Awesome Loop Engineering is a field guide and implementation kit for recurring AI-agent systems, connecting 797 resources to 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.
+Awesome Loop Engineering is a field guide and implementation kit for recurring AI-agent systems, connecting 863 resources to 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.
 
 ### Short Paragraph
 
-Awesome Loop Engineering maps how recurring AI agents discover work, act with scoped tools, pass independent verification, preserve state, and decide whether to retry, hand off, or stop. Readers can explore 797 papers, official docs, tools, benchmarks, and guides, then build from 22 patterns, 22 schema-checked contracts, and 8 runtime starters.
+Awesome Loop Engineering maps how recurring AI agents discover work, act with scoped tools, pass independent verification, preserve state, and decide whether to retry, hand off, or stop. Readers can explore 863 papers, official docs, tools, benchmarks, and guides, then build from 22 patterns, 22 schema-checked contracts, and 8 runtime starters.
 
 ### What Distinguishes It
 

data/README.md

@@ -1,6 +1,6 @@
 # Dataset Exports
 
-Download all 797 resources as deterministic tabular exports.
+Download all 863 resources as deterministic tabular exports.
 
 - `resources.csv` - Tabular export for spreadsheets and ad hoc analysis.
 - `resources.jsonl` - JSON Lines export and source for the Hugging Face Parquet build.

data/arxiv_publication_audit.csv

@@ -50,6 +50,8 @@ ale-0174,2607.21971,Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills w
 ale-0175,2607.24459,From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis,From Execution to Capability: Scientific Experience Consolidation via Procedural Knowledge Synthesis,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0176,2607.24162,Agent-UCT: Upper Confidence Bounds Applied to Trees for Agentic Workflow Optimization with Cost-Awareness,Agent-UCT: Upper Confidence Bounds Applied to Trees for Agentic Workflow Optimization with Cost-Awareness,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0177,2607.24720,The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation,The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0178,2607.25408,Context Assembly as the Controlled Variable: A Control-Theoretic View of Harness Policies for Frozen LLM Agents,Context Assembly as the Controlled Variable: A Control-Theoretic View of Harness Policies for Frozen LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0179,2607.25076,Towards an Agent Operating System - Lessons from Classical and Cloud OS,Towards an Agent Operating System - Lessons from Classical and Cloud OS,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0150,2502.05171,Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach,Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach,2025,published,Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach,2025,2025,Advances in Neural Information Processing Systems 38 (NeurIPS 2025),Neural Information Processing Systems Foundation,,https://openreview.net/forum?id=D6o6Bwtq7h,https://openreview.net/forum?id=D6o6Bwtq7h,OpenReview conference record,1.000,2026-07-20
 ale-0151,2507.10524,Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation,Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation,2025,published,Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation,2025,2025,Advances in Neural Information Processing Systems 38 (NeurIPS 2025),Neural Information Processing Systems Foundation,,https://openreview.net/forum?id=QuqsEIVWIG,https://openreview.net/forum?id=QuqsEIVWIG,OpenReview conference record,1.000,2026-07-20
 ale-0152,2510.25741,Scaling Latent Reasoning via Looped Language Models,Scaling Latent Reasoning via Looped Language Models,2025,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-18
@@ -67,6 +69,7 @@ ale-0164,2606.18208,Looped World Models,Looped World Models,2026,preprint-only,,
 ale-0165,2606.31779,Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers,Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-18
 ale-0166,2605.16048,Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification,Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-18
 ale-0167,2605.26106,Looped Diffusion Language Models,Looped Diffusion Language Models,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-18
+ale-0209,2607.26760,Metis: Memory Foundation Model,Metis: Memory Foundation Model,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0154,2605.18747,Code as Agent Harness,Code as Agent Harness,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0155,2605.20456,Agentic Agile-V: From Vibe Coding to Verified Engineering,Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0156,2509.06216,Agentic Software Engineering: Foundational Pillars and a Research Roadmap,Agentic Software Engineering: Foundational Pillars and a Research Roadmap,2025,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -78,6 +81,10 @@ ale-0196,2607.15715,Behavioral Controllability of Agentic Models for Information
 ale-0197,2607.15684,Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports,Understanding Agent-Reactive Bugs at the Model-Harness Boundary: An Empirical Study of LLM Agent Issue Reports,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-20
 ale-0198,2607.16038,"SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery","SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-20
 ale-0221,2607.20709,NVIDIA-labs OO Agents: Native Python Object-Oriented Agents,NVIDIA-labs OO Agents: Native Python Object-Oriented Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-24
+ale-0241,2607.26598,Living-Harness Is an Interactive-Agent Evolver,Living-Harness Is an Interactive-Agent Evolver,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0242,2607.25825,CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents,CHILL-Harness: Counterfactual Harness Learning for Efficient Reasoning in Long-Horizon Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0243,2607.25415,"A Control System, a Dataset, and a Recipe for Making Frozen LLM Agents Learn a Domain","A Control System, a Dataset, and a Recipe for Making Frozen LLM Agents Learn a Domain",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0244,2607.27083,Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents,Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0166,2405.15793,SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering,SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering,2024,published,SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering,2024,2024,Advances in Neural Information Processing Systems 37 (NeurIPS),Neural Information Processing Systems Foundation,10.52202/079017-1601,https://proceedings.neurips.cc/paper_files/paper/2024/hash/5a7c947568c1b1328ccc5230172e1e7c-Abstract-Conference.html,https://doi.org/10.52202/079017-1601,NeurIPS proceedings and DOI records,1.000,2026-07-17
 ale-0169,2407.16741,OpenHands: An Open Platform for AI Software Developers as Generalist Agents,OpenHands: An Open Platform for AI Software Developers as Generalist Agents,2025,published,OpenHands: An Open Platform for AI Software Developers as Generalist Agents,2025,2025,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2025/hash/a4b6ad6b48850c0c331d1259fc66a69c-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2025/hash/a4b6ad6b48850c0c331d1259fc66a69c-Abstract-Conference.html,ICLR proceedings record,1.000,2026-07-17
 ale-0171,2407.01489,Agentless: Demystifying LLM-based Software Engineering Agents,Agentless: Demystifying LLM-based Software Engineering Agents,2024,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -93,10 +100,11 @@ ale-0216,2607.15854,Agentic Synthesis against Counterexample-Supplemented Sketch
 ale-0217,2607.15769,Making Agent-Mediated Contributions Governable: A Project-Level Governance Manifest for Open-Source AI Collaboration,Making Agent-Mediated Contributions Governable: A Project-Level Governance Manifest for Open-Source AI Collaboration,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-20
 ale-0224,2607.13091,Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework,Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework,2026,accepted,Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework,2026-06-22,2026,32nd IEEE International Conference on Engineering Technology and Innovation (ICE/ITMC),IEEE,,https://arxiv.org/abs/2607.13091,https://ice-conference.org/,Current arXiv acceptance note and official conference page,1.000,2026-07-17
 ale-0306,2607.21832,How Do AI Coding Agents Contribute to Software Development? An Empirical Study of Agentic Pull Requests,How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull Requests,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
-ale-0307,2607.22917,"Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Coding Agent Teams","Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Coding Agent Teams",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0315,2607.22917,"Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Coding Agent Teams","Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Claude Code Agent Teams",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0308,2607.21909,Claim Plane: Enforceable Change Intents and Dynamic Scope for Parallel Coding Agents,Claim Plane: Enforceable Change Intents and Dynamic Scope for Parallel Coding Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0309,2607.23670,Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents,Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0310,2607.23588,JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents,JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0319,2607.26591,MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk Bugs,MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk Bugs,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0238,2604.25850,Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses,Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0239,2603.28052,Meta-Harness: End-to-End Optimization of Model Harnesses,Meta-Harness: End-to-End Optimization of Model Harnesses,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0241,2607.03935,"Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions","Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -152,6 +160,12 @@ ale-0403,2607.23002,Adversarial Test-Hardening for AI-Written Code: An Instrumen
 ale-0404,2607.24343,Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls,Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0405,2607.23802,From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement,From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0406,2607.23806,"A Frozen 12B Beats Frontier Models on Verified Work: 100% Accuracy, 0 Tokens, Bit-Exact, Forever","A Frozen 12B Beats Frontier Models on Verified Work: 100% Accuracy, 0 Tokens, Bit-Exact, Forever",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0417,2607.26777,CodeSpec: Dual Executable Specifications for Agentic Long-Horizon Feature Development,CodeSpec: Dual Executable Specifications for Agentic Long-Horizon Feature Development,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0418,2607.27167,SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch,SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0419,2607.26313,"SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompetence Shield, and Downstream-Only Remediation","SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompetence Shield, and Downstream-Only Remediation",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0420,2607.26836,Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems,Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0421,2607.25566,ARCHER: Agentic Rule and Compliance Harness for Executable Regulations,ARCHER: Agentic Rule and Compliance Harness for Executable Regulations,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0422,2607.25637,"F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill","F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0300,2607.05189,When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents,When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0301,2607.05029,Your Agent's Memories Are Not Its Own: Forged Reasoning Attacks on LLM Agent Memory and Defenses,Your Agent's Memories Are Not Its Own: Forged Reasoning Attacks on LLM Agent Memory and Defenses,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0302,2607.02514,Distributed Attacks in Persistent-State AI Control,Distributed Attacks in Persistent-State AI Control,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -208,6 +222,12 @@ ale-0488,2607.23438,Separating Capability from Permission: A Governance Framewor
 ale-0489,2607.22445,Dynamic Capability Scoping for Enterprise AI Agents: A Synthetic Dataset and Three-Source Permission Architecture,Dynamic Capability Scoping for Enterprise AI Agents: A Synthetic Dataset and Three-Source Permission Architecture,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0490,2607.23147,False Prophets: On the Security of World Models in Agentic Systems,False Prophets: On the Security of World Models in Agentic Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0491,2607.23916,Recursive Governance: A Graph-Theoretic Framework for Risk Propagation and Drift Detection in Agentic AI Systems,Recursive Governance: A Graph-Theoretic Framework for Risk Propagation and Drift Detection in Agentic AI Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0511,2607.25890,Distributing Security Controls Through Harness Engineering,Distributing Security Controls Through Harness Engineering,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0512,2607.27080,MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair,MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0513,2607.25619,SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents,SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0514,2607.25364,Explanation-Bound Tool Execution for AI Agents: Server-Verified Action Claims Without Trusting Model Rationales,Explanation-Bound Tool Execution for AI Agents: Server-Verified Action Claims Without Trusting Model Rationales,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0515,2607.25379,"Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response","Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0516,2607.24893,Early Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study,Early Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0345,2601.12030,ARC: Active and Reflection-driven Context Management for Long-Horizon Agents,ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents,2026,published,ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents,2026,2026,Findings of the Association for Computational Linguistics: ACL,Association for Computational Linguistics,10.18653/v1/2026.findings-acl.930,https://aclanthology.org/2026.findings-acl.930/,https://doi.org/10.18653/v1/2026.findings-acl.930,ACL Anthology and DOI records,1.000,2026-07-17
 ale-0346,2603.07670,"Memory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers","Memory for Autonomous LLM Agents:Mechanisms, Evaluation, and Emerging Frontiers",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0347,2604.08224,"Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering","Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -256,6 +276,14 @@ ale-0563,2607.24097,MemChain: Learning Interpretable Memory Traces for Memory-Au
 ale-0564,2607.24667,"Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating","Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0565,2607.22798,"StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents","StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0566,2607.22832,MEMENTO: Memory-Guided Memetic Code-as-Policy Evolution,MEMENTO: Memory-Guided Memetic Code-as-Policy Evolution,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0595,2607.26017,UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams,UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0596,2607.25066,Addressable Recall Compaction for Long Context-Window Control in AI Agents,Addressable Recall Compaction for Long Context-Window Control in AI Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0597,2607.26637,"Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability","Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0598,2607.25992,MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents,MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0599,2607.26520,A Graph-Native Bitemporal Memory Store for Conversational AI Agents,A Graph-Native Bitemporal Memory Store for Conversational AI Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0600,2607.25853,HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs,HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0601,2607.26937,VITAL-RAG: Invariance Race for Context Allocation in Coding Agents,VITAL-RAG: Invariance Race for Context Allocation in Coding Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0602,2607.25431,CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents,CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0396,2604.11378,From Agent Loops to Structured Graphs: A Scheduler-Theoretic Framework for LLM Agent Execution,From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0398,2603.11445,Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework,Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution,2026,published,Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution,2026,2026,ICLR Workshop on Multi-Agent Learning: Generalization and Adaptation in Intelligence (MALGAI),International Conference on Learning Representations,,https://openreview.net/forum?id=WUmz4LUbvU,https://openreview.net/forum?id=WUmz4LUbvU,ICLR workshop OpenReview record,1.000,2026-07-17
 ale-0399,2603.22386,From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents,From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -266,6 +294,9 @@ ale-0468,2607.16109,The Honest Quorum Problem: Epistemic Byzantine Fault Toleran
 ale-0429,2512.08296,Towards a Science of Scaling Agent Systems,Towards a Science of Scaling Agent Systems,2025,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-18
 ale-0621,2607.23933,SpecBox: Speculative Sandbox Scheduling for Efficient LLM Agent Serving,SpecBox: Speculative Sandbox Scheduling for Efficient LLM Agent Serving,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0622,2607.23884,A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based Systems,A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0660,2607.25446,"Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm","Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0661,2607.25090,Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering,Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0662,2607.26212,"Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges","Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0423,2310.06770,SWE-bench: Can Language Models Resolve Real-World GitHub Issues?,SWE-bench: Can Language Models Resolve Real-World GitHub Issues?,2024,published,SWE-bench: Can Language Models Resolve Real-World GitHub Issues?,2024,2024,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2024/hash/edac78c3e300629acfe6cbe9ca88fb84-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2024/hash/edac78c3e300629acfe6cbe9ca88fb84-Abstract-Conference.html,ICLR proceedings record,1.000,2026-07-17
 ale-0424,2505.23419,SWE-bench Goes Live,SWE-bench Goes Live!,2025,published,SWE-bench Goes Live!,2025,2025,Advances in Neural Information Processing Systems 38: Datasets and Benchmarks Track (NeurIPS),Neural Information Processing Systems Foundation,,https://proceedings.neurips.cc/paper_files/paper/2025/hash/d83c4a745789690f82e86d0ef752ae7c-Abstract-Datasets_and_Benchmarks_Track.html,https://proceedings.neurips.cc/paper_files/paper/2025/hash/d83c4a745789690f82e86d0ef752ae7c-Abstract-Datasets_and_Benchmarks_Track.html,NeurIPS proceedings record,1.000,2026-07-17
 ale-0427,2308.03688,AgentBench,AgentBench: Evaluating LLMs as Agents,2024,published,AgentBench: Evaluating LLMs as Agents,2024,2024,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2024/hash/e9df36b21ff4ee211a8b71ee8b7e9f57-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2024/hash/e9df36b21ff4ee211a8b71ee8b7e9f57-Abstract-Conference.html,ICLR proceedings record,1.000,2026-07-17
@@ -334,6 +365,13 @@ ale-0696,2607.23332,AlloBench: Measuring Online Tool Allocation Capability in LL
 ale-0697,2607.23123,SQBench: A Benchmark for Evaluating Task Delivery by Language-Model Agents in Production-Oriented Workflows,SQBench: A Benchmark for Evaluating Task Delivery by Language-Model Agents in Production-Oriented Workflows,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0698,2607.23722,E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios,E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0699,2607.22165,DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents,DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0740,2607.25656,OrchBench: Evaluating Multi-Agent Orchestration Plans in Isolation via Deterministic Simulation,OrchBench: Evaluating Multi-Agent Orchestration Plans in Isolation via Deterministic Simulation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0741,2607.25398,HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction Following,HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction Following,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0742,2607.27155,OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding,OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0743,2607.25886,RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement,RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0744,2607.25765,WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing,WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0745,2607.26041,Desktop-Delta Bench: Do Computer-Use Models Understand Desktop GUI Transitions?,Desktop-Delta Bench: Do Computer-Use Models Understand Desktop GUI Transitions?,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0746,2607.25891,Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation,Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0482,2607.07052,"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows","Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0483,2607.08010,Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems,Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0485,2607.07689,Agent Delivery Engineering Predictive Reliability Framework,Agent Delivery Engineering Predictive Reliability Framework,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -341,6 +379,12 @@ ale-0540,2607.16127,CADAQUES: A Cost-Aware Dual Architecture for Query-Efficient
 ale-0488,2607.02134,Coding-agents can replicate scientific machine learning papers,Coding-agents can replicate scientific machine learning papers,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0602,2607.17331,Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning,Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-22
 ale-0603,2607.06906,The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agents,The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-22
+ale-0767,2607.25032,Authoring Agent Skills: A Software-Engineering Approach,Authoring Agent Skills: A Software-Engineering Approach,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0768,2607.26819,A First Look at Coding Agents' Compliance with AI Contribution Rules in Open-Source Communities,A First Look at Coding Agents' Compliance with AI Contribution Rules in Open-Source Communities,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0769,2607.25975,Who is scientific code for? Maintaining human-readable landmarks in agent-written code,Who is scientific code for? Maintaining human-readable landmarks in agent-written code,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0771,2606.04056,"Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study","Token Budgets: An Empirical Catalog of 63 LLM-Agent Budget-Overrun Incidents, with an Affine-Typed Rust Mitigation as a Case Study",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0772,2606.14589,When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime,When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0773,2605.01604,"Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework","Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
 ale-0509,2606.17799,Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering,Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0510,2603.23994,Understanding the Challenges in Iterative Generative Optimization with LLMs,Understanding the Challenges in Iterative Generative Optimization with LLMs,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0511,2606.13003,The Illusion of Multi-Agent Advantage,The Illusion of Multi-Agent Advantage,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -366,3 +410,13 @@ ale-0769,2607.24647,Efficiency Matters in Autonomous Research,Efficiency Matters
 ale-0770,2607.21912,Reliability-Contagion Feasibility in LLM Multi-Agent Networks,Reliability-Contagion Feasibility in LLM Multi-Agent Networks,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0771,2607.22188,Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives,Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0772,2607.21997,"""Go Home Copilot, You're Drunk"": Understanding Developer Responses to Agent-Generated Code Review Comments","""Go Home Copilot, You're Drunk"": Understanding Developer Responses to Agent-Generated Code Review Comments",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
+ale-0827,2607.26191,Position: Evaluation Scores Are Perishable Knowledge Claims,Position: Evaluation Scores Are Perishable Knowledge Claims,2026,published,Position: Evaluation Scores Are Perishable Knowledge Claims,2026,2026,"Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM) 2026",Association for Computational Linguistics,10.18653/v1/2026.gem-main.80,https://doi.org/10.18653/v1/2026.gem-main.80,https://doi.org/10.18653/v1/2026.gem-main.80,Crossref API + DOI record,1.000,2026-07-31
+ale-0828,2607.26587,One Run Is Not an Idea: The Implementation Lottery in Automated Research,One Run Is Not an Idea: The Implementation Lottery in Automated Research,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0829,2607.27191,Can AI agents conduct open-ended AI research? Early evidence from two case studies,Can AI agents conduct open-ended AI research? Early evidence from two case studies,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0830,2607.26922,Two Calls Beat Five Agents: Evaluating Multi-Agent Pipelines Against Self-Refinement for Local Language Models,Two Calls Beat Five Agents: Evaluating Multi-Agent Pipelines Against Self-Refinement for Local Language Models,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0831,2607.26117,"Try Again, Don't Look Back: Blind Resampling Outperforms Self-Repair in Small Code Models","Try Again, Don't Look Back: Blind Resampling Outperforms Self-Repair in Small Code Models",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0832,2607.26120,Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems,Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0833,2607.26375,(Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding,(Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0836,2607.05775,"Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents","Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0837,2607.19449,Guardrails as Scapegoats: Auditing Unfaithful Safety Refusals in Tool-Augmented LLM Agents,Guardrails as Scapegoats: Auditing Unfaithful Safety Refusals in Tool-Augmented LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31
+ale-0838,2602.16666,Towards a Science of AI Agent Reliability,Towards a Science of AI Agent Reliability,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-31

data/first_seen.json

@@ -309,5 +309,71 @@
   "https://github.com/VictorTaelin/OptMem": "2026-07-28",
   "https://github.com/deerwork-ai/deer-workflow": "2026-07-28",
   "https://github.com/ruvnet/ruflo": "2026-07-28",
-  "https://github.com/max-sixty/worktrunk": "2026-07-28"
+  "https://github.com/max-sixty/worktrunk": "2026-07-28",
+  "https://arxiv.org/abs/2607.26598": "2026-07-30",
+  "https://arxiv.org/abs/2607.25825": "2026-07-30",
+  "https://arxiv.org/abs/2607.25408": "2026-07-30",
+  "https://arxiv.org/abs/2607.25415": "2026-07-30",
+  "https://arxiv.org/abs/2607.25890": "2026-07-30",
+  "https://arxiv.org/abs/2607.27080": "2026-07-30",
+  "https://arxiv.org/abs/2607.25619": "2026-07-30",
+  "https://arxiv.org/abs/2607.25364": "2026-07-30",
+  "https://arxiv.org/abs/2607.25379": "2026-07-30",
+  "https://arxiv.org/abs/2607.24893": "2026-07-30",
+  "https://arxiv.org/abs/2607.26777": "2026-07-30",
+  "https://arxiv.org/abs/2607.27167": "2026-07-30",
+  "https://arxiv.org/abs/2607.26313": "2026-07-30",
+  "https://arxiv.org/abs/2607.26836": "2026-07-30",
+  "https://arxiv.org/abs/2607.25566": "2026-07-30",
+  "https://arxiv.org/abs/2607.25637": "2026-07-30",
+  "https://arxiv.org/abs/2607.26017": "2026-07-30",
+  "https://arxiv.org/abs/2607.25066": "2026-07-30",
+  "https://arxiv.org/abs/2607.26637": "2026-07-30",
+  "https://arxiv.org/abs/2607.25992": "2026-07-30",
+  "https://arxiv.org/abs/2607.26520": "2026-07-30",
+  "https://arxiv.org/abs/2607.25853": "2026-07-30",
+  "https://arxiv.org/abs/2607.26937": "2026-07-30",
+  "https://arxiv.org/abs/2607.25431": "2026-07-30",
+  "https://arxiv.org/abs/2607.26760": "2026-07-30",
+  "https://arxiv.org/abs/2607.25656": "2026-07-30",
+  "https://arxiv.org/abs/2607.25446": "2026-07-30",
+  "https://arxiv.org/abs/2607.25090": "2026-07-30",
+  "https://arxiv.org/abs/2607.26212": "2026-07-30",
+  "https://arxiv.org/abs/2607.26591": "2026-07-30",
+  "https://arxiv.org/abs/2607.27083": "2026-07-30",
+  "https://arxiv.org/abs/2607.25032": "2026-07-30",
+  "https://arxiv.org/abs/2607.25076": "2026-07-30",
+  "https://arxiv.org/abs/2607.25398": "2026-07-30",
+  "https://arxiv.org/abs/2607.27155": "2026-07-30",
+  "https://arxiv.org/abs/2607.25886": "2026-07-30",
+  "https://arxiv.org/abs/2607.25765": "2026-07-30",
+  "https://arxiv.org/abs/2607.26041": "2026-07-30",
+  "https://arxiv.org/abs/2607.25891": "2026-07-30",
+  "https://arxiv.org/abs/2607.26191": "2026-07-30",
+  "https://arxiv.org/abs/2607.26587": "2026-07-30",
+  "https://arxiv.org/abs/2607.27191": "2026-07-30",
+  "https://arxiv.org/abs/2607.26922": "2026-07-30",
+  "https://arxiv.org/abs/2607.26117": "2026-07-30",
+  "https://arxiv.org/abs/2607.26120": "2026-07-30",
+  "https://arxiv.org/abs/2607.26375": "2026-07-30",
+  "https://arxiv.org/abs/2607.26819": "2026-07-30",
+  "https://arxiv.org/abs/2607.25975": "2026-07-30",
+  "https://github.com/openai/codex-security": "2026-07-30",
+  "https://www.anthropic.com/research/discovering-cryptographic-weaknesses": "2026-07-30",
+  "https://enklypesalt.com/posts/context-collapse-part3-ai-worming-through-word/": "2026-07-30",
+  "https://www.bottlenecklabs.com/blog/autonomously-run-businesses": "2026-07-30",
+  "https://huggingface.co/blog/agent-intrusion-technical-timeline": "2026-07-30",
+  "https://github.com/YoanWai/agent-manager": "2026-07-30",
+  "https://github.blog/changelog/2026-07-29-copilot-code-review-agent-skills-and-mcp-now-generally-available/": "2026-07-30",
+  "https://lwn.net/Articles/1086041/": "2026-07-30",
+  "https://github.com/AmazingAng/old-coder": "2026-07-30",
+  "https://github.com/affaan-m/ECC": "2026-07-30",
+  "https://github.com/WutIsHummus/TrueDeck": "2026-07-30",
+  "https://www.aikido.dev/blog/hugging-face-open-ai-breach-takeaways": "2026-07-30",
+  "https://arxiv.org/abs/2606.04056": "2026-07-30",
+  "https://arxiv.org/abs/2606.14589": "2026-07-30",
+  "https://arxiv.org/abs/2607.05775": "2026-07-30",
+  "https://arxiv.org/abs/2607.19449": "2026-07-30",
+  "https://arxiv.org/abs/2602.16666": "2026-07-30",
+  "https://arxiv.org/abs/2605.01604": "2026-07-30"
 }

data/star-history.json

@@ -1,10 +1,10 @@
 {
   "repository": "ChaoYue0307/awesome-loop-engineering",
   "source": "GitHub stargazer timestamps followed by repository star-count snapshots",
-  "total_stars": 42,
+  "total_stars": 43,
   "first_starred_at": "2026-06-09T16:18:52Z",
   "latest_starred_at": "2026-07-20T17:14:18Z",
-  "latest_observed_at": "2026-07-27T06:05:42Z",
+  "latest_observed_at": "2026-07-30T05:26:03Z",
   "starred_at": [
     "2026-06-09T16:18:52Z",
     "2026-06-09T16:30:12Z",
@@ -59,6 +59,10 @@
     {
       "observed_at": "2026-07-27T06:05:42Z",
       "stars": 42
+    },
+    {
+      "observed_at": "2026-07-30T05:26:03Z",
+      "stars": 43
     }
   ]
 }

design-qa.md

@@ -77,8 +77,8 @@
 - Phone: 390 x 844, no horizontal overflow. The compact loop keeps all six stations, the moving work packet, legend, outcome key, and stage selector visible without crossing the hero copy.
 - Mobile navigation: opens all nine project links, reports `aria-expanded="true"`, closes on Escape, and restores focus to the menu button.
 - Pattern filter: `accessibility` returns exactly one of the 22 patterns.
-- Resource Atlas: remains idle above the fold, loads on approach or a direct resource anchor, and reports `669 of 797 resources | showing 8` on a fresh mobile load.
-- Resource interactions: the Model loop-layer filter returns 29 of 797 resources (28 papers plus Awesome Loop Models), paginates eight at a time on mobile, and renders Loopie and LoopWM with their 2026 arXiv records and adjacent-scope labels.
+- Resource Atlas: remains idle above the fold, loads on approach or a direct resource anchor, and reports `669 of 863 resources | showing 8` on a fresh mobile load.
+- Resource interactions: the Model loop-layer filter returns 30 of 863 resources (29 papers plus Awesome Loop Models), paginates eight at a time on mobile, and renders Loopie and LoopWM with their 2026 arXiv records and adjacent-scope labels.
 - Resource row schema: desktop exposes Work, Year, Published at, and Evidence; mobile stacks the same labels. A `ReasoningBank` query returns one row with its ICLR venue, arXiv identifier, Tier A evidence, task fit, and source record without horizontal overflow.
 - Scene motion: the canvas frame counter advanced from 640 to 662 over 900 ms. Two canvas crops taken 1.2 seconds apart changed 17.79% of sampled RGB channels.
 - Scene pixels: the current desktop canvas has 7,062 colors with RGB standard deviations of 35.93, 29.76, and 22.29; mobile has 5,755 colors with deviations of 40.73, 30.54, and 19.70. Both renders are nonblank and well contrasted.
@@ -86,8 +86,8 @@
 - Future directions: direct-anchor restoration waits for the Resource Atlas reflow, all three audience tracks remain readable, and the agenda CTA is fully visible at desktop and mobile widths.
 - Console: no page-origin errors or warnings during mobile navigation, pattern filtering, and Resource Atlas interactions.
 - Narrow phone: 320 x 844, document width equals viewport width; the headline stays within 16 px gutters and the Three.js canvas remains fully inside the 288 px content width.
-- Source audit: 669 rows checked; 743 public sources reachable, 3 access-restricted, 51 repository-native, and 0 broken or unreachable as of 2026-07-29 UTC.
-- Data and copy: the website, README, translations, social preview source, release copy, and Hugging Face card all report 797 resources, 22 patterns, 22 contracts, 8 runtime starters, and version 0.9.0. The dataset exposes 50 fields, including `loop_layer` and `scope_fit`.
+- Source audit: 669 rows checked; 810 public sources reachable, 2 access-restricted, 51 repository-native, and 0 broken or unreachable as of 2026-07-31 UTC.
+- Data and copy: the website, README, translations, social preview source, release copy, and Hugging Face card all report 863 resources, 22 patterns, 22 contracts, 8 runtime starters, and version 0.9.0. The dataset exposes 50 fields, including `loop_layer` and `scope_fit`.
 - Semantic scene pass: the desktop hero crop paints 14.61% of pixels beyond the paper background with a 254.71 luminance range; the desktop stack paints 27.83% with a 249.98 range; the mobile hero paints 20.84% with a 229.45 range.
 - Stage interaction: selecting Verify updates `aria-pressed` across all six controls and replaces the live detail with the independent evidence-gate explanation.
 - Progressive enhancement: desktop loads the agent-loop and engineering-stack canvases; mobile loads only the agent-loop canvas and exposes the four-layer text stack. Both target viewports have zero horizontal overflow and no console messages.

docs/index.html

@@ -4,7 +4,7 @@
     <meta charset="utf-8">
     <meta name="viewport" content="width=device-width, initial-scale=1">
     <title>Awesome Loop Engineering</title>
-    <meta name="description" content="Explore 797 resources from model recurrence to governed agent operations, then build with 22 patterns, 22 contracts, and 8 runtime starters.">
+    <meta name="description" content="Explore 863 resources from model recurrence to governed agent operations, then build with 22 patterns, 22 contracts, and 8 runtime starters.">
     <meta name="robots" content="index,follow">
     <meta name="author" content="Chaoyue He">
     <link rel="canonical" href="https://chaoyue0307.github.io/awesome-loop-engineering/">
@@ -15,16 +15,16 @@
     <link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@500;600&amp;family=Inter:wght@400;500;600;700;800&amp;display=swap" rel="stylesheet">
     <meta property="og:type" content="website">
     <meta property="og:title" content="Awesome Loop Engineering">
-    <meta property="og:description" content="Explore 797 papers, docs, tools, benchmarks, and guides, then build recurring agent systems with 22 patterns, 22 contracts, and 8 starters.">
+    <meta property="og:description" content="Explore 863 papers, docs, tools, benchmarks, and guides, then build recurring agent systems with 22 patterns, 22 contracts, and 8 starters.">
     <meta property="og:url" content="https://chaoyue0307.github.io/awesome-loop-engineering/">
-    <meta property="og:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-797-v10.png">
+    <meta property="og:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-863-v10.png">
     <meta property="og:image:width" content="1280">
     <meta property="og:image:height" content="640">
     <meta property="og:image:alt" content="Awesome Loop Engineering: design loops, not just prompts.">
     <meta name="twitter:card" content="summary_large_image">
     <meta name="twitter:title" content="Awesome Loop Engineering">
-    <meta name="twitter:description" content="797 resources from model recurrence to agent operations, plus 22 patterns, 22 contracts, and 8 starters for building reliable loops.">
-    <meta name="twitter:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-797-v10.png">
+    <meta name="twitter:description" content="863 resources from model recurrence to agent operations, plus 22 patterns, 22 contracts, and 8 starters for building reliable loops.">
+    <meta name="twitter:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-863-v10.png">
     <link rel="alternate" type="application/atom+xml" title="Awesome Loop Engineering releases" href="https://github.com/ChaoYue0307/awesome-loop-engineering/releases.atom">
     <link rel="alternate" type="application/atom+xml" title="Awesome Loop Engineering commits" href="https://github.com/ChaoYue0307/awesome-loop-engineering/commits/main.atom">
     <style>
@@ -1301,13 +1301,13 @@
         "description": "A practical field guide and implementation kit for recurring, stateful, verified AI-agent systems.",
         "keywords": ["Loop Engineering", "AI agents", "Coding agents", "Agent workflows", "Agentic loops"],
         "datePublished": "2026-06-10",
-        "dateModified": "2026-07-29",
+        "dateModified": "2026-07-31",
         "sameAs": [
           "https://github.com/ChaoYue0307/awesome-loop-engineering",
           "https://huggingface.co/datasets/cy0307/awesome-loop-engineering"
         ],
         "license": "https://creativecommons.org/publicdomain/zero/1.0/",
-        "image": "https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-797-v10.png",
+        "image": "https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-863-v10.png",
         "logo": "https://chaoyue0307.github.io/awesome-loop-engineering/assets/awesome-loop-engineering-logo.png",
         "author": { "@type": "Person", "name": "Chaoyue He" }
       }
@@ -1355,7 +1355,7 @@
         "@context": "https://schema.org",
         "@type": "Dataset",
         "name": "Awesome Loop Engineering resources",
-        "description": "Explore 797 resources across model, agent, harness, workflow, operations, and evaluation layers, with publication, contribution, novelty, impact, and evidence fields.",
+        "description": "Explore 863 resources across model, agent, harness, workflow, operations, and evaluation layers, with publication, contribution, novelty, impact, and evidence fields.",
         "url": "https://chaoyue0307.github.io/awesome-loop-engineering/",
         "sameAs": [
           "https://huggingface.co/datasets/cy0307/awesome-loop-engineering",
@@ -1367,7 +1367,7 @@
         "isAccessibleForFree": true,
         "creator": { "@type": "Person", "name": "Chaoyue He" },
         "datePublished": "2026-06-10",
-        "dateModified": "2026-07-29",
+        "dateModified": "2026-07-31",
         "keywords": ["Loop Engineering", "AI agents", "Coding agents", "Agent reliability", "Agent evaluation"],
         "includedInDataCatalog": {
           "@type": "DataCatalog",
@@ -1430,7 +1430,7 @@
             <p class="section-label hero-kicker"><i class="icon" data-lucide="repeat-2" aria-hidden="true"></i><span>Field guide for recurring agent systems</span></p>
             <h1>Awesome Loop Engineering</h1>
             <p class="tagline">Design loops, not just prompts.</p>
-            <p class="lead">Explore 797 resources from model recurrence to agent operations, then build with 22 patterns, 22 adaptable contracts, and 8 runtime starters.</p>
+            <p class="lead">Explore 863 resources from model recurrence to agent operations, then build with 22 patterns, 22 adaptable contracts, and 8 runtime starters.</p>
             <div class="actions">
               <a class="button primary" href="https://github.com/ChaoYue0307/awesome-loop-engineering#readme"><i class="icon" data-lucide="book-open" aria-hidden="true"></i>Explore resources</a>
               <a class="button" href="#choose"><i class="icon" data-lucide="compass" aria-hidden="true"></i>Choose a loop</a>
@@ -1493,7 +1493,7 @@
             </div>
           </figure>
           <div class="stats" role="list" aria-label="Field guide at a glance">
-            <div class="stat" role="listitem"><b><i class="icon" data-lucide="library" aria-hidden="true"></i>797</b><span>resources</span></div>
+            <div class="stat" role="listitem"><b><i class="icon" data-lucide="library" aria-hidden="true"></i>863</b><span>resources</span></div>
             <div class="stat" role="listitem"><b><i class="icon" data-lucide="blocks" aria-hidden="true"></i>20</b><span>operational patterns</span></div>
             <div class="stat" role="listitem"><b><i class="icon" data-lucide="file-check-2" aria-hidden="true"></i>20</b><span>loop contracts</span></div>
             <div class="stat" role="listitem"><b><i class="icon" data-lucide="play" aria-hidden="true"></i>8</b><span>runtime starters</span></div>
@@ -1793,9 +1793,9 @@
               <p class="section-label"><i class="icon" data-lucide="library" aria-hidden="true"></i><span>06 / Resource atlas</span></p>
               <h2>Find evidence, not just links.</h2>
             </div>
-            <p class="section-intro">Filter 797 resources by goal, loop layer, lifecycle, artifact type, and evidence class. Open any result to see its contribution, novelty, impact, scope, publication details, and original source.</p>
+            <p class="section-intro">Filter 863 resources by goal, loop layer, lifecycle, artifact type, and evidence class. Open any result to see its contribution, novelty, impact, scope, publication details, and original source.</p>
           </div>
-          <p class="audit-note"><strong>Last source check, 2026-07-21 UTC:</strong> 743 public links opened successfully, 3 required access, 49 point to files in this repository, and none were broken or unreachable. <a href="https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/data/resource_source_audit.csv">View the results</a> or <a href="https://github.com/ChaoYue0307/awesome-loop-engineering/issues/new?template=annotation-correction.yml">report a correction</a>.</p>
+          <p class="audit-note"><strong>Last source check, 2026-07-21 UTC:</strong> 810 public links opened successfully, 2 required access, 49 point to files in this repository, and none were broken or unreachable. <a href="https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/data/resource_source_audit.csv">View the results</a> or <a href="https://github.com/ChaoYue0307/awesome-loop-engineering/issues/new?template=annotation-correction.yml">report a correction</a>.</p>
           <div class="loop-layer-map" aria-label="Where different loop concepts live">
             <div class="loop-layer-item"><span>Inner loop</span><strong>Model recurrence</strong><p>A learned block refines hidden or latent state inside one inference. Included as an adjacent foundation.</p></div>
             <div class="loop-layer-item"><span>Task loop</span><strong>Agent execution</strong><p>The model reasons, calls tools, observes results, and updates working state while solving one task.</p></div>
@@ -1879,7 +1879,7 @@
               <button class="resource-collection" type="button" data-collection="Apply" aria-pressed="false"><i class="icon" data-lucide="package-open" aria-hidden="true"></i>Apply</button>
             </div>
             <div class="resource-summary">
-              <p class="resource-count" id="resource-count" aria-live="polite">Preparing 797 resources...</p>
+              <p class="resource-count" id="resource-count" aria-live="polite">Preparing 863 resources...</p>
               <label>
                 <span class="sr-only">Sort resources</span>
                 <select class="resource-select resource-sort" id="resource-sort">
@@ -2483,7 +2483,7 @@
           loading = true;
           explorer.dataset.indexState = 'loading';
           list.setAttribute('aria-busy', 'true');
-          count.textContent = 'Loading 797 resources...';
+          count.textContent = 'Loading 863 resources...';
           list.replaceChildren(createText('p', 'resource-loading', 'Loading resources...'));
 
           fetch('assets/resources.json')

docs/sitemap.xml

@@ -2,7 +2,7 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://chaoyue0307.github.io/awesome-loop-engineering/</loc>
-    <lastmod>2026-07-29</lastmod>
+    <lastmod>2026-07-31</lastmod>
     <changefreq>weekly</changefreq>
     <priority>1.0</priority>
   </url>

docs/x-v10-863.html

@@ -0,0 +1,44 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1">
+    <title>Awesome Loop Engineering: 863 resources from model recurrence to agent operations</title>
+    <meta name="description" content="Explore 863 resources, then build recurring AI-agent systems with 22 patterns, 22 contracts, and 8 runtime starters.">
+    <meta name="robots" content="noindex,follow">
+    <link rel="canonical" href="https://chaoyue0307.github.io/awesome-loop-engineering/x-v10-863.html">
+    <meta property="og:type" content="website">
+    <meta property="og:title" content="Awesome Loop Engineering">
+    <meta property="og:description" content="863 papers, docs, tools, benchmarks, and guides, plus 22 patterns, 22 contracts, and 8 starters for recurring AI-agent systems.">
+    <meta property="og:url" content="https://chaoyue0307.github.io/awesome-loop-engineering/x-v10-863.html">
+    <meta property="og:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-863-v10.png">
+    <meta property="og:image:width" content="1280">
+    <meta property="og:image:height" content="640">
+    <meta property="og:image:alt" content="Awesome Loop Engineering: 863 resources, 22 patterns, 22 contracts, and 8 runtime starters.">
+    <meta name="twitter:card" content="summary_large_image">
+    <meta name="twitter:title" content="Awesome Loop Engineering">
+    <meta name="twitter:description" content="From looped models to verified agent work and bounded operations.">
+    <meta name="twitter:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-863-v10.png">
+    <meta name="twitter:image:alt" content="Awesome Loop Engineering: design loops, not just prompts.">
+    <link rel="icon" href="assets/favicon-32.png" type="image/png" sizes="32x32">
+    <style>
+      :root { color-scheme: light; font-family: Inter, ui-sans-serif, system-ui, sans-serif; }
+      body { display: grid; min-height: 100vh; margin: 0; place-items: center; background: #f7f9fc; color: #111827; }
+      main { width: min(88vw, 420px); text-align: center; }
+      img { width: 72px; height: 72px; }
+      p { color: #526176; line-height: 1.6; }
+      a { color: #1d4ed8; font-weight: 700; }
+    </style>
+    <script>
+      window.location.replace("https://chaoyue0307.github.io/awesome-loop-engineering/?utm_source=x&utm_medium=social&utm_campaign=v0.10.0");
+    </script>
+  </head>
+  <body>
+    <main>
+      <img src="assets/awesome-loop-engineering-logo.png" alt="Awesome Loop Engineering">
+      <h1>Awesome Loop Engineering</h1>
+      <p>Opening the interactive Resource Atlas.</p>
+      <p><a href="https://chaoyue0307.github.io/awesome-loop-engineering/?utm_source=x&amp;utm_medium=social&amp;utm_campaign=v0.10.0">Continue to the site</a></p>
+    </main>
+  </body>
+</html>

meta/DISTRIBUTION.md

@@ -8,7 +8,7 @@ Status as of 2026-07-20:
 
 | Surface | Status | Evidence / next action |
 | --- | --- | --- |
-| GitHub release | Complete | [`v0.9.0`](https://github.com/ChaoYue0307/awesome-loop-engineering/releases/tag/v0.9.0) packages 797 resources, 22 patterns and contracts, 8 runtime starters, and explicit model-to-operations scope facets. |
+| GitHub release | Complete | [`v0.9.0`](https://github.com/ChaoYue0307/awesome-loop-engineering/releases/tag/v0.9.0) packages 863 resources, 22 patterns and contracts, 8 runtime starters, and explicit model-to-operations scope facets. |
 | Release announcement | Ready | Publish the v0.9.0 summary from [`posts/launch.md`](../posts/launch.md); [Discussion #9](https://github.com/ChaoYue0307/awesome-loop-engineering/discussions/9) is the low-noise release and contributor feed. |
 | GitHub Explore topic | Complete | [`github/explore#5209`](https://github.com/github/explore/pull/5209) merged the `loop-engineering` topic page. |
 | Canonical Awesome directory | Policy objection | [`sindresorhus/awesome#4339`](https://github.com/sindresorhus/awesome/pull/4339) is open and lint passes, but the owner stated that AI-generated lists are not accepted. Do not treat further visual polish as a path around that policy or misrepresent automated assistance. |
@@ -33,7 +33,7 @@ The Hugging Face dataset [`datasets/cy0307/awesome-loop-engineering`](https://hu
 
 - The mirror tracks the full GitHub tree (docs, patterns, examples, schema, scripts).
 - The dataset mirror includes generated resource sheets at `data/resources.csv` and `data/resources.jsonl`, refreshed from the full English `README.md` by `scripts/export_resource_dataset.py`.
-- The HF copy of `README.md` is a focused dataset card generated from `meta/hf_card_header.yaml` and `meta/hf_card_body.md` by `scripts/build_hf_card.py`. It documents intended uses, evidence fields, limitations, loading examples, and the latest link status without duplicating the 797-row GitHub README.
+- The HF copy of `README.md` is a focused dataset card generated from `meta/hf_card_header.yaml` and `meta/hf_card_body.md` by `scripts/build_hf_card.py`. It documents intended uses, evidence fields, limitations, loading examples, and the latest link status without duplicating the 863-row GitHub README.
 - The YAML header is **HF-only**: it must never be added to the GitHub `README.md`, because the metadata list items break `awesome-lint`.
 - Sync uses `python3 scripts/build_hf_card.py --output <staging>/README.md` followed by `hf upload --type dataset` against a staging copy. The token lives in the local Hugging Face cache; no token is committed.
 - **Upload from a clean checkout, and exclude local artifacts.** `hf upload` mirrors the working directory as it is on disk, so a sync run from a working copy that holds untracked build or QA output publishes that output too, and later syncs never remove it because the CLI does not delete. A July 2026 sync pushed 79 browser-automation files (`.playwright-cli/` console logs and element captures, `output/playwright/` screenshots) that were never part of the GitHub tree; they were removed with `hf repos delete-files`. Sync from a fresh clone, and pass `--exclude ".playwright-cli/*" --exclude "output/*"` alongside the existing exclusions.
@@ -52,7 +52,7 @@ Use GitHub-native discovery in this order.
   ```
 
 - **Pin the repository** on your profile, and add it to your profile README (profile-level promotion).
-- **About description.** Keep this concise value statement aligned with the README and project site: `🔁 Build reliable recurring AI-agent systems: 797 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.`
+- **About description.** Keep this concise value statement aligned with the README and project site: `🔁 Build reliable recurring AI-agent systems: 863 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.`
 - **Custom social preview** (repo Settings, Social preview) so shared links lead with the same four durable proof points. This is UI-only; it cannot be set through the API.
 - **Releases and Discussions** provide a lower-noise subscription path. Recommend `Watch -> Custom -> Releases and Discussions`; do not ask readers to watch every repository event.
 
@@ -97,7 +97,7 @@ Use the [English launch article](../posts/launch.md) or [Chinese launch article]
 ```text
 🔁 Awesome Loop Engineering maps how recurring AI agents should act, verify, remember, retry, and stop.
 
-797 resources · 22 patterns · 22 contracts · 8 starters
+863 resources · 22 patterns · 22 contracts · 8 starters
 
 Explore and build:
 https://github.com/ChaoYue0307/awesome-loop-engineering
@@ -107,7 +107,7 @@ https://github.com/ChaoYue0307/awesome-loop-engineering
 
 Attach [`assets/social-preview.png`](../assets/social-preview.png) directly when the platform permits it. The post is 264 characters before platform-specific URL shortening.
 
-For a fresh link card on X or LinkedIn, share <https://chaoyue0307.github.io/awesome-loop-engineering/x-v10-797.html>. The versioned URL points to the current preview image, records the `v0.10.0` campaign, and redirects readers to the interactive site.
+For a fresh link card on X or LinkedIn, share <https://chaoyue0307.github.io/awesome-loop-engineering/x-v10-863.html>. The versioned URL points to the current preview image, records the `v0.10.0` campaign, and redirects readers to the interactive site.
 
 ### Chinese Short Post
 
@@ -131,7 +131,7 @@ Awesome Loop Engineering v0.9.0 is live.
 
 The release includes:
 
-- 797 papers, docs, tools, benchmarks, and guides
+- 863 papers, docs, tools, benchmarks, and guides
 - 29 model-layer resources, including Loopie, labeled as adjacent foundations
 - an interactive Resource Atlas
 - 22 operational patterns and 22 adaptable loop contracts
@@ -148,11 +148,11 @@ https://github.com/ChaoYue0307/awesome-loop-engineering
 Use a regular submission, not Show HN.
 
 ```text
-Title: Awesome Loop Engineering: 797 resources from looped models to agent operations
+Title: Awesome Loop Engineering: 863 resources from looped models to agent operations
 
 I have been mapping recurring AI-agent systems: how work enters, agents act, evidence gates results, state survives, and the system retries, escalates, or exits.
 
-The repository connects 797 papers, docs, tools, benchmarks, and guides across model, agent, harness, workflow, operations, and evaluation layers with 22 operational patterns, 22 adaptable contracts, 8 runtime starters, an interactive Resource Atlas, and a structured Hugging Face dataset. Model-level recurrence is labeled as an adjacent foundation rather than a complete operational loop. Corrections to source links, taxonomy, and summaries are especially welcome.
+The repository connects 863 papers, docs, tools, benchmarks, and guides across model, agent, harness, workflow, operations, and evaluation layers with 22 operational patterns, 22 adaptable contracts, 8 runtime starters, an interactive Resource Atlas, and a structured Hugging Face dataset. Model-level recurrence is labeled as an adjacent foundation rather than a complete operational loop. Corrections to source links, taxonomy, and summaries are especially welcome.
 
 https://github.com/ChaoYue0307/awesome-loop-engineering
 ```

meta/OUTREACH.md

@@ -12,7 +12,7 @@ Use these messages to request sources, operating examples, and accuracy correcti
 ## Short Message
 
 ```text
-Hi <name>, Awesome Loop Engineering connects 797 papers, docs, tools, benchmarks, and guides with reusable patterns for recurring AI-agent systems.
+Hi <name>, Awesome Loop Engineering connects 863 papers, docs, tools, benchmarks, and guides with reusable patterns for recurring AI-agent systems.
 
 If you have an original or official source, a correction, a real-world loop, or a cautionary example, you can contribute here:
 https://github.com/ChaoYue0307/awesome-loop-engineering
@@ -38,7 +38,7 @@ https://github.com/ChaoYue0307/awesome-loop-engineering/issues/new?template=anno
 ## Maintainer Request
 
 ```text
-Hi <name>, Awesome Loop Engineering helps researchers and builders move from 797 papers, docs, tools, benchmarks, and guides to 22 operational patterns, 22 adaptable contracts, 8 runtime starters, and a structured dataset.
+Hi <name>, Awesome Loop Engineering helps researchers and builders move from 863 papers, docs, tools, benchmarks, and guides to 22 operational patterns, 22 adaptable contracts, 8 runtime starters, and a structured dataset.
 
 Would it fit the related-resources policy for <project or newsletter>? I can provide a shorter description or submit through the normal contribution process:
 https://github.com/ChaoYue0307/awesome-loop-engineering

meta/social-preview.html

@@ -79,7 +79,7 @@
         <p>Model / agent / operations</p>
       </div>
       <div class="stats">
-        <div class="stat"><b>797</b><span>Papers, docs, tools + guides</span></div>
+        <div class="stat"><b>863</b><span>Papers, docs, tools + guides</span></div>
         <div class="stat"><b>22</b><span>Operational patterns</span></div>
         <div class="stat"><b>22</b><span>Schema-checked contracts</span></div>
         <div class="stat"><b>8</b><span>Runtime starters</span></div>

posts/launch.md

@@ -2,12 +2,12 @@
 
 Awesome Loop Engineering v0.9.0 maps recurrence from a model's inner computation to an agent's tools and the outer operating loop that verifies, remembers, retries, escalates, and stops.
 
-Explore 797 resources without collapsing looped models, agent execution, harnesses, workflows, and production operations into one idea.
+Explore 863 resources without collapsing looped models, agent execution, harnesses, workflows, and production operations into one idea.
 
 ## What You Can Use
 
-- 797 papers, official docs, tools, benchmarks, and guides linked to the original work
-- 29 model-layer resources, from Universal Transformers and Huginn to Loopie, LoopCoder, and LoopWM, labeled as adjacent foundations rather than complete agent loops
+- 863 papers, official docs, tools, benchmarks, and guides linked to the original work
+- 30 model-layer resources, from Universal Transformers and Huginn to Loopie, LoopCoder, and LoopWM, labeled as adjacent foundations rather than complete agent loops
 - 22 operational patterns organized by build, operate, optimize, and govern use cases
 - 22 schema-checked loop contracts, one for every pattern
 - 8 runtime starters: 3 dependency-light executables and 5 copy/paste runtime templates

posts/launch.zh-CN.md

@@ -2,11 +2,11 @@
 
 Awesome Loop Engineering v0.9.0 建立了一张从模型内部递归、Agent 执行、Harness 到外层运行系统的完整地图。
 
-可浏览 797 篇论文、官方文档、工具、benchmark 与实践指南，同时保持清晰边界：模型内的循环提供自适应计算，但不等于具备外部验证、持久状态、预算、人类交接与退出规则的运行级 Loop。
+可浏览 863 篇论文、官方文档、工具、benchmark 与实践指南，同时保持清晰边界：模型内的循环提供自适应计算，但不等于具备外部验证、持久状态、预算、人类交接与退出规则的运行级 Loop。
 
 ## 可直接使用
 
-- 797 篇论文、官方文档、工具、benchmark 与实践指南，并直接链接原始来源
+- 863 篇论文、官方文档、工具、benchmark 与实践指南，并直接链接原始来源
 - 29 个模型层资源，覆盖 Universal Transformers、Huginn、Loopie、LoopCoder、LoopWM 等方向
 - 20 个按 build、operate、optimize、govern 组织的 operational patterns
 - 20 个经过 schema 校验的 loop contracts，每个 pattern 对应一个

scripts/render_readme_tables.py

@@ -19,6 +19,8 @@ LEGACY_TABLE_HEADERS = {
 }
 SUMMARY_START = "<!-- resource-type-summary:start -->"
 SUMMARY_END = "<!-- resource-type-summary:end -->"
+EVIDENCE_START = "<!-- evidence-label-legend:start -->"
+EVIDENCE_END = "<!-- evidence-label-legend:end -->"
 PROJECT_GITHUB_REPO = "chaoyue0307/awesome-loop-engineering"
 README_RENDER_BUDGET_BYTES = 480 * 1024
 
@@ -158,13 +160,17 @@ def publication_cell(row: dict[str, str]) -> str:
 
 
 def evidence_cell(row: dict[str, str]) -> str:
+    # The per-class note is constant for every row of a class, so it is defined once in the
+    # evidence-label legend rather than repeated on each row; repeating it cost roughly 40 KB
+    # against the GitHub render budget. Only per-row exceptions still carry an inline note.
     evidence = row["evidence_class"]
     label = EVIDENCE_LABELS.get(evidence, evidence.replace("-", " ").title())
-    note = EVIDENCE_NOTES.get(evidence, "Inspect the linked source")
     if row["source_status"] == "restricted":
         note = "The linked source required access at the latest check"
     elif row["source_status"] not in {"ok", "local_ok"}:
         note = "The linked source was unavailable at the latest check"
+    else:
+        return f"**{escape_cell(label)}**"
     return f"**{escape_cell(label)}**<br><sub>{escape_cell(note)}</sub>"
 
 
@@ -230,6 +236,32 @@ def replace_summary(lines: list[str], rows: list[dict[str, str]]) -> list[str]:
     return lines[:start] + summary_lines(rows) + lines[end + 1 :]
 
 
+def evidence_legend_lines(rows: list[dict[str, str]]) -> list[str]:
+    """Define each evidence label once, since rows no longer repeat the per-class note."""
+    counts = Counter(row["evidence_class"] for row in rows)
+    data = []
+    for evidence, label in EVIDENCE_LABELS.items():
+        if not counts[evidence]:
+            continue
+        data.append(
+            (
+                f"**{escape_cell(label)}**",
+                str(counts[evidence]),
+                escape_cell(EVIDENCE_NOTES.get(evidence, "Inspect the linked source")),
+            )
+        )
+    return [EVIDENCE_START, *markdown_table(("Evidence label", "Rows", "What it means"), data), EVIDENCE_END]
+
+
+def replace_evidence_legend(lines: list[str], rows: list[dict[str, str]]) -> list[str]:
+    try:
+        start = lines.index(EVIDENCE_START)
+        end = lines.index(EVIDENCE_END, start + 1)
+    except ValueError as error:
+        raise RuntimeError("README evidence-label legend markers are missing") from error
+    return lines[:start] + evidence_legend_lines(rows) + lines[end + 1 :]
+
+
 def render_readme(readme_path: Path = README) -> str:
     rows = iter_rows(readme_path)
     rows_by_line = {int(row["source_line"]): row for row in rows}
@@ -261,6 +293,7 @@ def render_readme(readme_path: Path = README) -> str:
         index += 1
 
     output = replace_summary(output, rows)
+    output = replace_evidence_legend(output, rows)
     return "\n".join(output) + "\n"