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docs(readme): trim top-2 News entries + move "What is ARIS" near bottom
Two structural tweaks per user feedback:
1. Trim the 2026-05-24 (v1.1) and 2026-05-23 (v1 ship) News entries down
to 2-3 lines each. Removed mid-line implementation detail (per-repo
JSON shape, the full v9→v17 design-iteration commit list) — that
detail lives in SKILL.md and the commits themselves.
2. Move the "🌟 What is ARIS — A Quick Pitch" section from position
right-after-📢-News (early in the README) to right-before-📖-Citing
(near the bottom). Rationale: AI-Offer's first-fold should foreground
the cheat-sheets + ARIS-Homepage value, not the parent-ARIS pitch.
The parent pitch is more naturally positioned as a "before you cite
us, here's the context" block.
New section order:
📢 What's New → 📚 Tutorial Index → 🤖 How These Are Generated
→ 🌐 ARIS-Homepage → 🤝 Contributing → 💬 Community
→ 🌟 What is ARIS ← moved here
→ 📖 Citing ARIS → License
Bilingual parity maintained.
-**2026-05-22** —  🦾 **Featured community contribution: 具身智能高频面试题库** by [@WinstonJQ](https://github.com/WinstonJQ) — 413 questions across 8 卷 (VLA / 模仿学习 / RL / 世界模型 / 工程落地 / 腿足控制 / 3D 感知 / 系统设计). Hosted externally; linked from the new "🦾 Embodied AI" category in the Tutorial Index ([b1ebb6f](https://github.com/wanshuiyin/ARIS-in-AI-Offer/commit/b1ebb6f)).
-**2026-05** —  📖 **README restructure** — preview-strip banner, ARIS credentials at top (badges + 10K-star foundation paragraph), shared WeChat community QR with the [main ARIS repo](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep).
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## 🌟 What is ARIS — A Quick Pitch
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[**ARIS — Auto Research in Sleep**](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) is one of the most-watched AI research agent skill platforms of 2025-2026. The `/interview-cheatsheet` + `/render-html` skills that produced this repo are 2 out of ARIS's 74+ skills.
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[](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/stargazers) · [](https://huggingface.co/papers/2605.03042) · [](https://huggingface.co/papers/2605.03042) · [](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) · [](https://github.com/VoltAgent/awesome-agent-skills) · [](https://aidigitalcrew.com)
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- ⭐ **~10k GitHub stars** — top-trending AI agent repo
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- 🥇 **HuggingFace Daily Papers #1** — top of the day, paper [arXiv:2605.03042](https://huggingface.co/papers/2605.03042)
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- 🏆 **AI Digital Crew · Project of the Day** (2026.03.14)
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- 📰 **Featured on PaperWeekly** + **VoltAgent/awesome-agent-skills**
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- 🛠️ **74+ research skills** — full lifecycle from idea exploration → experiments → papers → rebuttals → talk slides
- 🔧 **ARIS-Code standalone CLI** — multi-provider runtime, no Claude Code dependency required
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Core methodology: **cross-model adversarial review** — executor and reviewer must come from different model families (Claude × GPT-5.5 xhigh × Gemini), so no LLM ever judges its own output. This protocol carries directly into interview cheat sheet generation: every formula, code block, and citation in every tutorial passes an independent audit (see each `.review.json` audit trail).
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👉 **ARIS main repo**: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
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---
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## 📚 Tutorial Index
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> 🌐 **Bilingual editions**: every cheat sheet ships with both a Chinese (default) and an English HTML — filenames are `*_tutorial.html` (CN) and `*_tutorial_en.html` (EN). HTML columns below link to both.
@@ -280,6 +260,26 @@ Full contribution guide: [**CONTRIBUTING.md**](CONTRIBUTING.md) ([English](CONTR
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## 🌟 What is ARIS — A Quick Pitch
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[**ARIS — Auto Research in Sleep**](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) is one of the most-watched AI research agent skill platforms of 2025-2026. The `/interview-cheatsheet` + `/render-html` skills that produced this repo are 2 out of ARIS's 74+ skills.
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[](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/stargazers) · [](https://huggingface.co/papers/2605.03042) · [](https://huggingface.co/papers/2605.03042) · [](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) · [](https://github.com/VoltAgent/awesome-agent-skills) · [](https://aidigitalcrew.com)
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- ⭐ **~10k GitHub stars** — top-trending AI agent repo
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- 🥇 **HuggingFace Daily Papers #1** — top of the day, paper [arXiv:2605.03042](https://huggingface.co/papers/2605.03042)
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- 🏆 **AI Digital Crew · Project of the Day** (2026.03.14)
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- 📰 **Featured on PaperWeekly** + **VoltAgent/awesome-agent-skills**
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- 🛠️ **74+ research skills** — full lifecycle from idea exploration → experiments → papers → rebuttals → talk slides
- 🔧 **ARIS-Code standalone CLI** — multi-provider runtime, no Claude Code dependency required
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Core methodology: **cross-model adversarial review** — executor and reviewer must come from different model families (Claude × GPT-5.5 xhigh × Gemini), so no LLM ever judges its own output. This protocol carries directly into interview cheat sheet generation: every formula, code block, and citation in every tutorial passes an independent audit (see each `.review.json` audit trail).
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👉 **ARIS main repo**: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
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---
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## 📖 Citing ARIS
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If this collection — or any cheat sheet here — helped you in your interview prep / research / paper, please consider citing the underlying ARIS methodology paper:
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