Sync 1017-resource release from GitHub

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 1013 Ressourcen, 22 operativen Loop-Patterns, 22 schemavalidierten Loop-Contracts und 8 Runtime-Startern (3 ausführbare Programme und 5 anpassbare Vorlagen), ergänzt durch eine Community-Galerie und 8 Sprachen.
+Starte mit 1017 Ressourcen, 22 operativen Loop-Patterns, 22 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 1013 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 1017 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 1013 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 1017 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。
 
-1013 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。
+1017 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.
 
-1013개의 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.
+1017개의 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 1013 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 1017 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 1013 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 1017 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 1013 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 1017 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 1013 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 1017 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 1013 resources as deterministic tabular exports.
+Download all 1017 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

@@ -8,7 +8,7 @@ ale-0109,2303.11366,Reflexion: Language Agents with Verbal Reinforcement Learnin
 ale-0110,2303.17651,Self-Refine: Iterative Refinement with Self-Feedback,Self-Refine: Iterative Refinement with Self-Feedback,2023,published,Self-Refine: Iterative Refinement with Self-Feedback,2023,2023,Advances in Neural Information Processing Systems 36 (NeurIPS),Neural Information Processing Systems Foundation,,https://proceedings.neurips.cc/paper_files/paper/2023/hash/91edff07232fb1b55a505a9e9f6c0ff3-Abstract-Conference.html,https://proceedings.neurips.cc/paper_files/paper/2023/hash/91edff07232fb1b55a505a9e9f6c0ff3-Abstract-Conference.html,NeurIPS proceedings record,1.000,2026-07-17
 ale-0111,2305.11738,CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing,CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing,2024,published,CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing,2024,2024,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2024/hash/fef126561bbf9d4467dbb8d27334b8fe-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2024/hash/fef126561bbf9d4467dbb8d27334b8fe-Abstract-Conference.html,ICLR proceedings record,1.000,2026-07-17
 ale-0112,2305.10601,Tree of Thoughts,Tree of Thoughts: Deliberate Problem Solving with Large Language Models,2023,published,Tree of Thoughts: Deliberate Problem Solving with Large Language Models,2023,2023,Advances in Neural Information Processing Systems 36 (NeurIPS),Neural Information Processing Systems Foundation,,https://proceedings.neurips.cc/paper_files/paper/2023/hash/271db9922b8d1f4dd7aaef84ed5ac703-Abstract.html,https://proceedings.neurips.cc/paper_files/paper/2023/hash/271db9922b8d1f4dd7aaef84ed5ac703-Abstract.html,NeurIPS proceedings record,1.000,2026-07-17
-ale-0113,2308.09687,Graph of Thoughts,Graph of Thoughts: Solving Elaborate Problems with Large Language Models,2024,published,Graph of Thoughts: Solving Elaborate Problems with Large Language Models,2024-03-24,2024,Proceedings of the AAAI Conference on Artificial Intelligence 38 (AAAI),Association for the Advancement of Artificial Intelligence (AAAI),10.1609/aaai.v38i16.29720,https://ojs.aaai.org/index.php/AAAI/article/view/29720,https://doi.org/10.1609/aaai.v38i16.29720,AAAI proceedings and DOI records,1.000,2026-07-17
+ale-0138,2308.09687,Graph of Thoughts,Graph of Thoughts,2024,published,Graph of Thoughts,2024-03-24,2024,Proceedings of the AAAI Conference on Artificial Intelligence 38 (AAAI),Association for the Advancement of Artificial Intelligence (AAAI),10.1609/aaai.v38i16.29720,https://ojs.aaai.org/index.php/AAAI/article/view/29720,https://doi.org/10.1609/aaai.v38i16.29720,AAAI proceedings and DOI records,1.000,2026-09-17
 ale-0114,2310.04406,Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models,Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models,2024,published,Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models,2024,2024,Proceedings of the 41st International Conference on Machine Learning (ICML),PMLR,,https://proceedings.mlr.press/v235/zhou24r.html,https://proceedings.mlr.press/v235/zhou24r.html,PMLR proceedings record,1.000,2026-07-17
 ale-0115,2305.16291,Voyager: An Open-Ended Embodied Agent with Large Language Models,Voyager: An Open-Ended Embodied Agent with Large Language Models,2024,published,Voyager: An Open-Ended Embodied Agent with Large Language Models,2024,2024,Transactions on Machine Learning Research (TMLR),OpenReview,,https://openreview.net/forum?id=ehfRiF0R3a,https://openreview.net/forum?id=ehfRiF0R3a,TMLR OpenReview record,1.000,2026-07-17
 ale-0116,2304.03442,Generative Agents: Interactive Simulacra of Human Behavior,Generative Agents: Interactive Simulacra of Human Behavior,2023,published,Generative Agents: Interactive Simulacra of Human Behavior,2023-10-29,2023,Proceedings of the 36th ACM Symposium on User Interface Software and Technology (UIST),Association for Computing Machinery,10.1145/3586183.3606763,https://doi.org/10.1145/3586183.3606763,https://doi.org/10.1145/3586183.3606763,ACM DOI record,1.000,2026-07-17
@@ -20,7 +20,7 @@ ale-0122,2603.17104,When the Specification Emerges: Benchmarking Faithfulness Lo
 ale-0124,2607.00038,Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting,Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0125,2606.20683,From Question Answering to Task Completion: A Survey on Agent System and Harness Design,From Question Answering to Task Completion: A Survey on Agent System and Harness Design,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0126,2605.22794,MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems,MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0128,2607.05297,MetaSkill-Evolve: Recursive Self-Improvement via Two-Timescale Meta-Skill Evolution,MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0153,2607.05297,MetaSkill-Evolve: Recursive Self-Improvement via Two-Timescale Meta-Skill Evolution,MetaSkill-Evolve: Recursive Self-Improvement via Two-Timescale Meta-Skill Evolution,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0129,2607.03451,SkillOpt-Lite: Better and Faster Agent Self-Evolution via One Line of Vibe,SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0130,2607.07663,Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops,Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0131,2607.07321,From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents,From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -32,7 +32,7 @@ ale-0136,2607.07397,Agentic Data Environments,Agentic Data Environments,2026,pub
 ale-0137,2607.08938,"Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation","Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0138,2607.09065,Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills,Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0140,2607.11346,"Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime","Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0141,2607.11288,Mako: A Self-Evolving Agentic Operating System for Autonomous Web Exploitation,Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0166,2607.11288,Mako: A Self-Evolving Agentic Operating System for Autonomous Web Exploitation,Mako: A Self-Evolving Agentic Operating System for Autonomous Web Exploitation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0142,2607.10856,How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study,How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0143,2607.10113,Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries,Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries,2026,accepted,Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries,2026,2026,Transactions on Machine Learning Research (TMLR),OpenReview,,https://openreview.net/forum?id=cjU3YbcRr8,https://openreview.net/forum?id=cjU3YbcRr8,Current arXiv acceptance note and OpenReview record,1.000,2026-07-17
 ale-0144,2605.27276,SIA: Self Improving AI with Harness and Weight Updates,SIA: Self Improving AI with Harness & Weight Updates,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-18
@@ -137,7 +137,7 @@ ale-0266,2606.10241,"Regimes: An Auditable, Held-Out-Gated Improvement Loop","Re
 ale-0267,2605.22608,Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents,Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents,2026,published,Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents,2026,2026,Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL),Association for Computational Linguistics,10.18653/v1/2026.acl-demo.74,https://aclanthology.org/2026.acl-demo.74/,https://doi.org/10.18653/v1/2026.acl-demo.74,ACL Anthology and DOI records,1.000,2026-07-17
 ale-0268,2607.02882,Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference,Diagnosis-Driven Automatic Repair for Agentic Workflow via Symbolic Inference,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0269,2607.01874,SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use,SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0270,2607.00990,SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Bug Reproduction Tests,SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0400,2607.00990,SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Bug Reproduction Tests,SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Bug Reproduction Tests,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0271,2607.06273,AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation,AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0272,2607.06065,SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review,SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0273,2607.07405,"Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode","Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -244,13 +244,13 @@ ale-0415,2607.12624,PVDetector: Detecting Prompt Injection Attacks on Purpose-Sp
 ale-0416,2607.12428,Trust but Verify? Uncovering the Security Debt of Autonomous Coding Agents,Trust but Verify? Uncovering the Security Debt of Autonomous Coding Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-22
 ale-0423,2607.19913,JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety,JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-23
 ale-0424,2607.19837,Know Your Agent: Reconnaissance-Driven Pentesting of AI Agents,Know Your Agent: Reconnaissance-Driven Pentesting of AI Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-23
-ale-0425,2607.19433,The Chronos Vulnerability: Temporal Persistence and Memory-Based Deception in Agentic AI,The Chronos Vulnerability: A Taxonomy of Temporal Persistence and Memory-Based Deception in Agentic AI,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-23
+ale-0541,2607.19433,The Chronos Vulnerability: Temporal Persistence and Memory-Based Deception in Agentic AI,The Chronos Vulnerability: Temporal Persistence and Memory-Based Deception in Agentic AI,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0439,2607.20759,IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests,IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-24
 ale-0440,2607.20827,Auditing Provenance Sensitivity in LLM Agent Action Selection,Auditing Provenance Sensitivity in LLM Agent Action Selection,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-24
 ale-0524,2607.21325,"Toward cryptographically verifiable authorization for autonomous AI agents: A security hypothesis, preliminary formal model, and proof-of-concept implementation",Cryptographically verifiable authorization for autonomous AI agents: A falsifiable hypothesis and proof-of-concept,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-13
 ale-0450,2607.20891,Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions,Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-25
 ale-0451,2607.21518,"Same Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent Mediation","Same Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent Mediation",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-25
-ale-0535,2607.23999,ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents,ContainmentBench: Trace-Based Evaluation of Post-Exposure Containment in Tool-Using LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-13
+ale-0555,2607.23999,ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents,ContainmentBench: Trace-Based Evaluation of Post-Injection Containment in Tool-Using LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0541,2607.24625,Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents,APPA: Recoverable Information-Flow Control for Real-World LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-27
 ale-0484,2607.22868,What Can Be Enforced? A Theory of Certified Runtime Safety for Tool-Using Agents,What Can Be Enforced? A Theory of Certified Runtime Safety for Tool-Using Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0485,2607.23586,Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents,Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
@@ -280,6 +280,7 @@ ale-0579,2603.19328,The Verifier Tax: Horizon Dependent Safety Success Tradeoffs
 ale-0586,2606.22528,Governance Decay: How Context Compaction Silently Erases Safety Constraints in Long-Horizon LLM Agents,Governance Decay: How Context Compaction Silently Erases Safety Constraints in Long-Horizon LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-08
 ale-0587,2605.14271,Auditing Agent Harness Safety,Auditing Agent Harness Safety,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-08
 ale-0591,2609.03884,"A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors","A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
+ale-0592,2609.01222,What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness,What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 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
@@ -291,7 +292,7 @@ ale-0353,2607.00692,Self-GC: Self-Governing Context for Long-Horizon LLM Agents,
 ale-0354,2607.05378,CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents,CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0355,2607.03726,SelfMem: Self-Optimizing Memory for AI Agents,SelfMem: Self-Optimizing Memory for AI Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0356,2607.04391,Memory-Orchestrated Semantic System (MOSS): An Auditable Agentic Memory Architecture,Memory-Orchestrated Semantic System (MOSS): An Auditable Agentic Memory Architecture,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0357,2605.21997,"The Log Is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems","The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0617,2605.21997,"The Log Is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems","The Log Is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0360,2607.05844,StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems,StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0361,2607.08716,Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents,Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0362,2607.08032,"What to Keep, What to Forget: A Rate-Distortion View of Memory Compaction","What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -299,8 +300,8 @@ ale-0363,2607.07666,A Hierarchical Memory Architecture Overcomes Context Limits
 ale-0364,2607.07676,SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents,SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0367,2607.08319,GitLake: Git-for-data for the agentic lakehouse,GitLake: Git-for-data for the agentic lakehouse,2026,accepted,GitLake: Git-for-data for the agentic lakehouse,2026,2026,DASHSys Workshop at the International Conference on Very Large Data Bases (VLDB),VLDB Endowment,,https://arxiv.org/abs/2607.08319,https://dashsys-workshop-vldb.github.io/,Current arXiv acceptance note and official workshop page,1.000,2026-07-17
 ale-0368,2607.09493,Shared Selective Persistent Memory for Agentic LLM Systems,Shared Selective Persistent Memory for Agentic LLM Systems,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0369,2607.09175,Scoped Verification for Reliable Long-Horizon Agentic Context Evolution,Scoped Verification for Reliable Long-Horizon Agentic Context Evolution under Distribution Shift,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0374,2607.11388,StructAgent: Harness Long-Horizon Digital Agents with Unified Causal Structure,StructAgent: Harness Long-horizon Digital Agents with Unified Causal Structure,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0629,2607.09175,Scoped Verification for Reliable Long-Horizon Agentic Context Evolution,Scoped Verification for Reliable Long-Horizon Agentic Context Evolution,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
+ale-0634,2607.11388,StructAgent: Harness Long-Horizon Digital Agents with Unified Causal Structure,StructAgent: Harness Long-Horizon Digital Agents with Unified Causal Structure,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0375,2607.10608,The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory,The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0380,2607.13591,Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents,Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0381,2607.14390,Why Git Is the Memory Solution for the Agentic Development Lifecycle,Why Git Is the Memory Solution for the Agentic Development Lifecycle,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -354,6 +355,8 @@ ale-0672,2605.23296,Parallel Context Compaction for Long-Horizon LLM Agent Servi
 ale-0680,2606.06448,Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads,Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-04
 ale-0681,2608.01679,When Memory Becomes Authority: Benchmarking Authority Collapse at the Memory Consolidation Boundary,When Memory Becomes Authority: Benchmarking Authority Collapse at the Memory Consolidation Boundary,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-04
 ale-0682,2602.05665,"Graph-based Agent Memory: Taxonomy, Techniques, and Applications","Graph-based Agent Memory: Taxonomy, Techniques, and Applications",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-04
+ale-0696,2609.05510,Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development,Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
+ale-0697,2609.16461,"Protocol-Preserving Context Trimming for Agentic Workflows: Benefits, Failure Regimes, and Budget Guardrails","Protocol-Preserving Context Trimming for Agentic Workflows: Benefits, Failure Regimes, and Budget Guardrails",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 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
@@ -376,11 +379,11 @@ ale-0736,2608.05144,Argus: A General-Purpose Agentic Reasoning Runtime for Long-
 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
-ale-0428,2307.13854,WebArena,WebArena: A Realistic Web Environment for Building Autonomous Agents,2024,published,WebArena: A Realistic Web Environment for Building Autonomous Agents,2024,2024,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2024/hash/4410c0711e9154a7a2d26f9b3816d1ef-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2024/hash/4410c0711e9154a7a2d26f9b3816d1ef-Abstract-Conference.html,ICLR proceedings record,1.000,2026-07-17
+ale-0774,2307.13854,WebArena,WebArena,2024,published,WebArena,2024,2024,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2024/hash/4410c0711e9154a7a2d26f9b3816d1ef-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2024/hash/4410c0711e9154a7a2d26f9b3816d1ef-Abstract-Conference.html,ICLR proceedings record,1.000,2026-09-17
 ale-0429,2404.07972,OSWorld,OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments,2024,published,OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments,2024,2024,Advances in Neural Information Processing Systems 37: Datasets and Benchmarks Track (NeurIPS),Neural Information Processing Systems Foundation,10.52202/079017-1650,https://proceedings.neurips.cc/paper_files/paper/2024/hash/5d413e48f84dc61244b6be550f1cd8f5-Abstract-Datasets_and_Benchmarks_Track.html,https://doi.org/10.52202/079017-1650,NeurIPS proceedings and DOI records,1.000,2026-07-17
 ale-0430,2307.16789,ToolBench,ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs,2024,published,ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs,2024,2024,International Conference on Learning Representations (ICLR),International Conference on Learning Representations,,https://proceedings.iclr.cc/paper_files/paper/2024/hash/28e50ee5b72e90b50e7196fde8ea260e-Abstract-Conference.html,https://proceedings.iclr.cc/paper_files/paper/2024/hash/28e50ee5b72e90b50e7196fde8ea260e-Abstract-Conference.html,ICLR proceedings record,1.000,2026-07-17
 ale-0431,2311.12983,GAIA,GAIA: a benchmark for General AI Assistants,2023,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0432,2406.12045,Tau-bench,$τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains,2024,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0778,2406.12045,Tau-bench,Tau-bench,2024,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0433,2401.13649,VisualWebArena,VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks,2024,published,VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks,2024,2024,Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL),Association for Computational Linguistics,10.18653/v1/2024.acl-long.50,https://aclanthology.org/2024.acl-long.50/,https://doi.org/10.18653/v1/2024.acl-long.50,ACL Anthology and DOI records,1.000,2026-07-17
 ale-0434,2407.18901,AppWorld,AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents,2024,published,AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents,2024,2024,Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL),Association for Computational Linguistics,10.18653/v1/2024.acl-long.850,https://aclanthology.org/2024.acl-long.850/,https://doi.org/10.18653/v1/2024.acl-long.850,ACL Anthology and DOI records,1.000,2026-07-17
 ale-0435,2502.15840,Vending-Bench,Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents,2025,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -400,12 +403,12 @@ ale-0449,2603.29231,Beyond pass@1: A Reliability Science Framework for Long-Hori
 ale-0450,2606.17546,SEAGym: An Evaluation Environment for Self-Evolving LLM Agents,SEAGym: An Evaluation Environment for Self-Evolving LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0451,2605.24110,EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions,EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0452,2604.17849,On the Reliability of Computer Use Agents,On the Reliability of Computer Use Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0453,2605.12925,AgentLens: Revealing the Lucky Pass Problem in SWE-Agent Evaluation,AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0799,2605.12925,AgentLens: Revealing the Lucky Pass Problem in SWE-Agent Evaluation,AgentLens: Revealing the Lucky Pass Problem in SWE-Agent Evaluation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0454,2601.21008,ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction,ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research,2026,published,ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research,2026,2026,"Proceedings of the 43rd International Conference on Machine Learning (ICML), PMLR 306",PMLR,,https://openreview.net/pdf/16a0193aa4e71ffe6c921ac0081a66b525eea017.pdf,https://openreview.net/pdf/16a0193aa4e71ffe6c921ac0081a66b525eea017.pdf,PMLR camera-ready record,1.000,2026-07-17
 ale-0455,2605.30434,LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis,LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0456,2602.16313,MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks,MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0457,2606.00832,Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations,Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
-ale-0458,2605.14678,π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows,$π$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
+ale-0804,2605.14678,π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows,π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0459,2603.23638,Can LLM Agents Be CFOs? Benchmarking Long-Horizon Resource Allocation,Can LLM Agents Be CFOs? Benchmarking Long-Horizon Resource Allocation in an Uncertain Enterprise Environment,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0460,2607.05202,EvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer,EvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
 ale-0461,2607.02255,AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents,AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-17
@@ -436,7 +439,7 @@ ale-0639,2607.20926,SciExplore: Evaluating Autonomous Agents from Scientific Nav
 ale-0640,2607.21447,RUMBA: Russian User Memory Benchmark,RUMBA: Russian User Memory Benchmark,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-25
 ale-0693,2607.22368,Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI,Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
 ale-0694,2607.24054,Success Is Not Self-Explanatory: Auditing Success Provenance in Agent Evaluation,Success Is Not Self-Explanatory: Auditing Success Provenance in Agent Evaluation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-07-29
-ale-0804,2607.22015,Are Production Cloud Skills Adequately Tested? Measuring and Governing Skill Test Coverage in Practice,Are Production Cloud Skills Adequately Tested? Measuring and Governing Skill Test Adequacy in Practice,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-13
+ale-0838,2607.22015,Are Production Cloud Skills Adequately Tested? Measuring and Governing Skill Test Coverage in Practice,Are Production Cloud Skills Adequately Tested? Measuring and Governing Skill Test Coverage in Practice,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 ale-0746,2607.23332,AlloBench: Measuring Online Tool Allocation Capability in LLM Agents,AllocBench: Measuring Online Tool Allocation Capability in LLM Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-04
 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
@@ -465,6 +468,7 @@ ale-0834,2604.12162,AlphaEval: Evaluating Agents in Production,AlphaEval: Evalua
 ale-0839,2608.00267,LoopsBench: From Harness Engineering to Loop Engineering in Coding Agent Evaluation,LoopsBench: From Harness Engineering to Loop Engineering in Coding Agent Evaluation,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-17
 ale-0848,2606.14832,"PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions","PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions",2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-08-27
 ale-0871,2608.28281,LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering,LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
+ale-0875,2608.30724,BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks,BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 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
@@ -486,6 +490,7 @@ ale-0887,2608.02464,Real-Time Detection and Repair of LLM Agent Failures,Real-Ti
 ale-0896,2605.14830,Agentic AI and Human-in-the-Loop Interventions: Field Experimental Evidence from Alibaba's Customer Service Operations,Agentic AI and Human-in-the-Loop Interventions: Field Experimental Evidence from Alibaba's Customer Service Operations,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-05
 ale-0897,2604.22750,How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks,How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-05
 ale-0903,2609.00050,Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness,Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-08
+ale-0913,2609.01931,Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents,Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents,2026,preprint-only,,,,,,,,,DBLP and Crossref exact-title audit,,2026-09-17
 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

data/first_seen.json

@@ -188,7 +188,6 @@
   "https://arxiv.org/abs/2607.19433": "2026-07-23",
   "https://ironbee.medium.com/what-a-verification-loop-adds-to-a-coding-agent-a-first-look-5049017e636e": "2026-07-23",
   "https://insights.ml4trading.io/p/a-coding-agent-reading-list-behind": "2026-07-23",
-  "https://github.com/AgentWrapper/agent-orchestrator": "2026-07-23",
   "https://arxiv.org/abs/2607.21557": "2026-07-24",
   "https://arxiv.org/abs/2607.20972": "2026-07-24",
   "https://arxiv.org/abs/2607.21461": "2026-07-24",
@@ -529,5 +528,10 @@
   "https://openreview.net/forum?id=din0lGfZFd": "2026-07-18",
   "https://openreview.net/forum?id=RzYXb5YWBs": "2026-07-18",
   "https://openreview.net/forum?id=9Pba4rcQbE": "2026-07-18",
-  "https://openreview.net/forum?id=kdZbxizwGK": "2026-07-18"
+  "https://openreview.net/forum?id=kdZbxizwGK": "2026-07-18",
+  "https://arxiv.org/abs/2608.30724": "2026-09-17",
+  "https://arxiv.org/abs/2609.01222": "2026-09-17",
+  "https://arxiv.org/abs/2609.05510": "2026-09-17",
+  "https://arxiv.org/abs/2609.16461": "2026-09-17",
+  "https://arxiv.org/abs/2609.01931": "2026-09-17"
 }

data/resources.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cafe01b685b35094009ecb0c8cedd859d62b994cfa30132bfd2e187e798a943b
-size 943837
+oid sha256:0d95d881c44046ce92e60e66d8a9fef08e8827e836e113c884610e78a42bb650
+size 926561

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 `1013 of 1013 resources | showing 8` on a fresh mobile load.
-- Resource interactions: the Model loop-layer filter returns 31 of 1013 resources (30 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 `1017 of 1017 resources | showing 8` on a fresh mobile load.
+- Resource interactions: the Model loop-layer filter returns 31 of 1017 resources (30 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: 1013 rows checked; 951 public sources reachable, 11 access-restricted, 51 repository-native, and 0 broken or unreachable as of 2026-09-17 UTC.
-- Data and copy: the website, README, translations, social preview source, release copy, and Hugging Face card all report 1013 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: 1017 rows checked; 955 public sources reachable, 11 access-restricted, 51 repository-native, and 0 broken or unreachable as of 2026-09-17 UTC.
+- Data and copy: the website, README, translations, social preview source, release copy, and Hugging Face card all report 1017 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 1013 resources from model recurrence to governed agent operations, then build with 22 patterns, 22 contracts, and 8 runtime starters.">
+    <meta name="description" content="Explore 1017 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 1013 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 1017 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-1013-v10.png">
+    <meta property="og:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-1017-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="1013 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-1013-v10.png">
+    <meta name="twitter:description" content="1017 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-1017-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>
@@ -1307,7 +1307,7 @@
           "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-1013-v10.png",
+        "image": "https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-1017-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 1013 resources across model, agent, harness, workflow, operations, and evaluation layers, with publication, contribution, novelty, impact, and evidence fields.",
+        "description": "Explore 1017 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",
@@ -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 1013 resources from model recurrence to agent operations, then build with 22 patterns, 22 adaptable contracts, and 8 runtime starters.</p>
+            <p class="lead">Explore 1017 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>1013</b><span>resources</span></div>
+            <div class="stat" role="listitem"><b><i class="icon" data-lucide="library" aria-hidden="true"></i>1017</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 1013 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 1017 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, 2026-09-17 UTC:</strong> 951 public links opened successfully, 11 required access, 51 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, 2026-09-17 UTC:</strong> 955 public links opened successfully, 11 required access, 51 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 1013 resources...</p>
+              <p class="resource-count" id="resource-count" aria-live="polite">Preparing 1017 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 1013 resources...';
+          count.textContent = 'Loading 1017 resources...';
           list.replaceChildren(createText('p', 'resource-loading', 'Loading resources...'));
 
           fetch('assets/resources.json')

docs/x-v10-1017.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: 1017 resources from model recurrence to agent operations</title>
+    <meta name="description" content="Explore 1017 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-v10-1017.html">
+    <meta property="og:type" content="website">
+    <meta property="og:title" content="Awesome Loop Engineering">
+    <meta property="og:description" content="1017 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-v10-1017.html">
+    <meta property="og:image" content="https://chaoyue0307.github.io/awesome-loop-engineering/assets/social-preview-1017-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: 1017 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-1017-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 1013 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 1017 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 1013-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 1017-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: 1013 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: 1017 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.
 
-1013 resources · 22 patterns · 22 contracts · 8 starters
+1017 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-v10-1013.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-v10-1017.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:
 
-- 1013 papers, docs, tools, benchmarks, and guides
+- 1017 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: 1013 resources from looped models to agent operations
+Title: Awesome Loop Engineering: 1017 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 1013 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 1017 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 1013 papers, docs, tools, benchmarks, and guides with reusable patterns for recurring AI-agent systems.
+Hi <name>, Awesome Loop Engineering connects 1017 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 1013 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 1017 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>1013</b><span>Papers, docs, tools + guides</span></div>
+        <div class="stat"><b>1017</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

@@ -2,11 +2,11 @@
 
 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 1013 resources without collapsing looped models, agent execution, harnesses, workflows, and production operations into one idea.
+Explore 1017 resources without collapsing looped models, agent execution, harnesses, workflows, and production operations into one idea.
 
 ## What You Can Use
 
-- 1013 papers, official docs, tools, benchmarks, and guides linked to the original work
+- 1017 papers, official docs, tools, benchmarks, and guides linked to the original work
 - 31 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

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 1013 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 1017 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
 
-- 1013 篇论文、官方文档、工具、benchmark 与实践指南，并直接链接原始来源
+- 1017 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

@@ -22,7 +22,11 @@ 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
+# GitHub truncates a README beyond 500 KiB (512,000 bytes) when displaying it: "any content
+# beyond 500 KiB will be truncated" (docs.github.com, About READMEs). The rendered output is
+# byte-identical to README.md and CI runs --check on every push, so the committed file can never
+# exceed this budget; the remaining 12,288 bytes are margin, not headroom to grow into.
+README_RENDER_BUDGET_BYTES = 488 * 1024
 
 TYPE_DESCRIPTIONS = {
     "Paper": "Academic paper, preprint, or technical report",