Sync from GitHub 84f5bd5

README.md

@@ -35,7 +35,7 @@ configs:
   <a href="https://github.com/ChaoYue0307/awesome-loop-engineering/actions/workflows/quality.yml"><img src="https://img.shields.io/github/actions/workflow/status/ChaoYue0307/awesome-loop-engineering/quality.yml?branch=main&label=validate" alt="validate"></a>
   <a href="https://chaoyue0307.github.io/awesome-loop-engineering/"><img src="https://img.shields.io/badge/project-site-38bdf8" alt="project site"></a>
   <a href="https://huggingface.co/datasets/cy0307/awesome-loop-engineering"><img src="https://img.shields.io/badge/HF-dataset-ffcc4d" alt="Hugging Face dataset"></a>
-  <img src="https://img.shields.io/badge/resources-268-a78bfa" alt="resources">
+  <img src="https://img.shields.io/badge/resources-270-a78bfa" alt="resources">
   <img src="https://img.shields.io/badge/patterns-15-38bdf8" alt="patterns">
   <a href="LICENSE"><img src="https://img.shields.io/badge/license-CC0--1.0-64748b" alt="license"></a>
   <a href="CONTRIBUTING.md"><img src="https://img.shields.io/badge/PRs-welcome-22c55e" alt="PRs welcome"></a>
@@ -210,7 +210,7 @@ A compact path through the repository. Each resource is linked in full in the se
 
 ## Repository Highlights
 
-Beyond the curated list, this repository ships its own artifacts: 268 curated resource rows, 15 operational loop patterns, 15 schema-validated loop contracts, 6 runnable loop templates, a community gallery, 8 language entry points, a standalone landing page, a Hugging Face dataset mirror with tabular exports, and an active discussion thread for real or anonymized Loop Engineering patterns.
+Beyond the curated list, this repository ships its own artifacts: 270 curated resource rows, 15 operational loop patterns, 15 schema-validated loop contracts, 6 runnable loop templates, a community gallery, 8 language entry points, a standalone landing page, a Hugging Face dataset mirror with tabular exports, and an active discussion thread for real or anonymized Loop Engineering patterns.
 
 ## Resource Type Legend
 
@@ -531,6 +531,7 @@ This section focuses on durable loop state and cross-run context. For context-wi
 - 📄 **Paper** [EvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification](https://arxiv.org/abs/2604.01687) - A skill generator and a co-evolving surrogate verifier improve multi-file skill packages over iterations, evaluated on the SkillsBench benchmark of structured skill bundles.
 - 📄 **Paper** [SaaSBench: Coding Agents in Long-Horizon Enterprise SaaS Engineering](https://arxiv.org/abs/2605.17526) - Benchmark for agents on multi-dependency, interactive enterprise tasks, with automated evaluation that probes where long-horizon loops break down.
 - 📄 **Paper** [RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades](https://arxiv.org/abs/2605.15846) - 115 real version-upgrade tasks across 17 repositories requiring multi-file changes (median ~3,700 lines), stressing how far agent loops sustain coherent, large-scale work.
+- 📄 **Paper** [RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code](https://arxiv.org/abs/2503.07832) - Multi-file refactoring tasks that require tracking and carrying state across many steps, isolating the durable-state weakness that breaks long agent loops.
 - 📄 **Paper** [SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks](https://arxiv.org/abs/2603.24755) - Quantifies structural erosion and verbosity creep across iteration checkpoints in native harnesses like Claude Code and Codex, evidence for why loops need verification and budgets.
 - 📄 **Paper** [LongCLI-Bench: A Preliminary Benchmark for Long-horizon Agentic Programming in Command-Line Interfaces](https://arxiv.org/abs/2602.14337) - Long-horizon CLI tasks where most runs stall below 30% completion, mapping where unattended loops break down.
 
@@ -631,6 +632,7 @@ Practical loop patterns translate the abstract contract into runnable operating
 - ⚠️ **Critique** [Self-Correcting Agents: Reflexion, CRITIC, and ReAct Loops Compared](https://callsphere.ai/blog/self-correcting-agents-reflexion-critic-react-loops-compared-2026) - Compares self-correction patterns and their cost/failure tradeoffs.
 - ⚠️ **Critique** [How to Build an AI Agent Harness: A 2026 Complete Guide](https://atlan.com/know/how-to-build-ai-agent-harness/) - Broad guide with useful warnings on data readiness, permissions, context management, and evaluation.
 - ⚠️ **Critique** [Harness Engineering vs Prompt Engineering vs Context Engineering Explained](https://medium.com/@visrow/harness-engineering-vs-prompt-engineering-vs-context-engineering-explained-0423b692c87d) - Adjacent framing that helps avoid confusing loop engineering with the surrounding harness discipline.
+- 📄 **Paper** [Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering](https://arxiv.org/abs/2606.17799) - Argues benchmark scores conflate the model with the harness and penalize valid alternatives, so headline numbers hide which loop and harness choices actually move performance.
 
 ## Adjacent Awesome Lists
 

docs/index.html

@@ -263,7 +263,7 @@
             <div class="stat" role="listitem"><b>15</b><span>operational patterns</span></div>
             <div class="stat" role="listitem"><b>15</b><span>loop contracts</span></div>
             <div class="stat" role="listitem"><b>6</b><span>runnable templates</span></div>
-            <div class="stat" role="listitem"><b>268</b><span>curated entries</span></div>
+            <div class="stat" role="listitem"><b>270</b><span>curated entries</span></div>
             <div class="stat" role="listitem"><b>8</b><span>languages</span></div>
           </div>