feat: batch 2 — 3 more cheat sheets + Contributing section + bilingual

Added tutorials:
- 🎯 Reasoning Models (o1 / R1 / Test-Time Compute / PRM / GRPO)
- 🎨 Image Generation Systems (LDM / SD / SDXL / SD3 / FLUX / ControlNet)
- 🎨 3D Generation (NeRF / Instant-NGP / 3DGS / SDS / Trellis)

Both CN + EN READMEs updated:
- 3 new rows promoted from 🚧 to clickable HTML + MD links
- Footer updated to reflect 4 remaining in queue (RLHF · MoE · Quant · VAE)
- New "Contributing" section (bilingual): one-person limit, PR welcome via
  ARIS /interview-cheatsheet + /render-html workflow, honest disclaimer
  about HTML basics being solid but latest frontier work may not be fully
  covered, invitation to extend together

Reasoning + Image Gen had a 4th main-session DIY codex review round catching
substantive issues missed by earlier subagent rounds (RM semantic, citation
attributions, parser bugs, etc.). All three passed 13/13 render review.

Author: wanshuiyin

README.md

@@ -57,7 +57,7 @@
 | Topic | HTML | MD |
 |---|---|---|
 | RLHF / DPO / GRPO / PPO | 🚧 | — |
-| Reasoning Models (o1 / R1 / Test-Time Compute / PRM) | 🚧 | — |
+| **Reasoning Models (o1 / R1 / Test-Time Compute / PRM)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/reasoning_models_tutorial.html) | [MD](docs/tutorials/reasoning_models_tutorial.md) |
 
 ### 🏛️ LLM Architecture & Systems
 
@@ -81,17 +81,17 @@
 
 | Topic | HTML | MD |
 |---|---|---|
-| Image Gen Systems (LDM / SD / SDXL / SD3 / FLUX / ControlNet) | 🚧 | — |
+| **Image Gen Systems (LDM / SD / SDXL / SD3 / FLUX / ControlNet)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/image_generation_systems_tutorial.html) | [MD](docs/tutorials/image_generation_systems_tutorial.md) |
 | **Video Gen (Sora / Hunyuan-Video / Kling / Wan / Movie Gen)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/video_generation_tutorial.html) | [MD](docs/tutorials/video_generation_tutorial.md) |
-| 3D Gen (NeRF / Instant-NGP / 3DGS / SDS / Trellis) | 🚧 | — |
+| **3D Gen (NeRF / Instant-NGP / 3DGS / SDS / Trellis)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/3d_generation_tutorial.html) | [MD](docs/tutorials/3d_generation_tutorial.md) |
 
 ### 👁️ Multimodal
 
 | Topic | HTML | MD |
 |---|---|---|
 | **VLM (CLIP / LLaVA / Qwen-VL / DeepSeek-VL)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/vlm_multimodal_tutorial.html) | [MD](docs/tutorials/vlm_multimodal_tutorial.md) |
 
-> 🚧 表示正在跑（剩 7 篇 background agent 进行中：RLHF · Reasoning · MoE · Quantization · VAE/VQ · Image Gen · 3D Gen，跑完会逐个填入）。
+> 🚧 表示还在路上（剩 4 篇：RLHF · MoE · Quantization · VAE/VQ，主对话顺序生成中）。
 
 ---
 
@@ -110,8 +110,16 @@
 
 ---
 
+## 🤝 欢迎贡献
+
+一个人的力量有限，希望靠大家一起把这套教程做得更完善。
+
+如果你想加一篇 cheat sheet 或修正现有内容，欢迎用 ARIS 的 [`/interview-cheatsheet`](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/blob/main/skills/interview-cheatsheet/SKILL.md) + [`/render-html`](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/blob/main/skills/render-html/SKILL.md) workflow 跑出来再提 PR。两个 skill 都内置跨模型 codex 5.5 xhigh 审查 gate（数学 / 代码 / 引用 / 渲染保真），过了 PR 进来就有质量底线。
+
+**坦白说**：现有教程把 HTML 基础结构（公式 / 代码 / 表格 / callout / TOC / 响应式）都做扎实了，但具体到某些主题最前沿（比如 2025 下半年才出的方法、某些细分领域的最新论文）大概率没全覆盖。发现哪里过时或有错，PR / issue 都欢迎，一起把这份资料持续维护。
+
+---
+
 ## License
 
 [MIT](LICENSE) — 用、改、传、二开都行。希望对正在准备秋招的你有帮助。加油 💪
-
-如果你写了新的 cheat sheet 想合并进来，欢迎 PR。

README_EN.md

@@ -57,7 +57,7 @@ Core methodology: **cross-model adversarial review** — executor and reviewer m
 | Topic | HTML | MD |
 |---|---|---|
 | RLHF / DPO / GRPO / PPO | 🚧 | — |
-| Reasoning Models (o1 / R1 / Test-Time Compute / PRM) | 🚧 | — |
+| **Reasoning Models (o1 / R1 / Test-Time Compute / PRM)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/reasoning_models_tutorial.html) | [MD](docs/tutorials/reasoning_models_tutorial.md) |
 
 ### 🏛️ LLM Architecture & Systems
 
@@ -81,17 +81,17 @@ Core methodology: **cross-model adversarial review** — executor and reviewer m
 
 | Topic | HTML | MD |
 |---|---|---|
-| Image Gen Systems (LDM / SD / SDXL / SD3 / FLUX / ControlNet) | 🚧 | — |
+| **Image Gen Systems (LDM / SD / SDXL / SD3 / FLUX / ControlNet)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/image_generation_systems_tutorial.html) | [MD](docs/tutorials/image_generation_systems_tutorial.md) |
 | **Video Gen (Sora / Hunyuan-Video / Kling / Wan / Movie Gen)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/video_generation_tutorial.html) | [MD](docs/tutorials/video_generation_tutorial.md) |
-| 3D Gen (NeRF / Instant-NGP / 3DGS / SDS / Trellis) | 🚧 | — |
+| **3D Gen (NeRF / Instant-NGP / 3DGS / SDS / Trellis)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/3d_generation_tutorial.html) | [MD](docs/tutorials/3d_generation_tutorial.md) |
 
 ### 👁️ Multimodal
 
 | Topic | HTML | MD |
 |---|---|---|
 | **VLM (CLIP / LLaVA / Qwen-VL / DeepSeek-VL)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/vlm_multimodal_tutorial.html) | [MD](docs/tutorials/vlm_multimodal_tutorial.md) |
 
-> 🚧 = in flight (7 background agents still running: RLHF · Reasoning · MoE · Quantization · VAE/VQ · Image Gen · 3D Gen). Rows fill in as they finish.
+> 🚧 = still in the queue (4 left: RLHF · MoE · Quantization · VAE/VQ — being generated sequentially from the main session).
 
 ---
 
@@ -110,8 +110,16 @@ Cross-model adversarial review (executor ≠ reviewer family) is ARIS's core inv
 
 ---
 
+## 🤝 Contributing
+
+One person can only cover so much. The hope is that many hands make this collection more complete.
+
+If you'd like to add a cheat sheet or fix existing content, please use ARIS's [`/interview-cheatsheet`](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/blob/main/skills/interview-cheatsheet/SKILL.md) + [`/render-html`](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/blob/main/skills/render-html/SKILL.md) workflow to generate it, then open a PR here. Both skills enforce a cross-model codex GPT-5.5 xhigh review gate (math / code / citations / render fidelity), so anything merged through PR has a baseline quality floor.
+
+**Honest disclaimer**: across the existing tutorials, the HTML structural foundations (math, code, tables, callouts, TOC, responsive layout) are solid. But the very latest frontier work in any given topic (e.g., methods released in late 2025, niche subfield updates) likely is not fully covered. If you spot something outdated or wrong, PRs and issues are equally welcome — let's keep this resource alive together.
+
+---
+
 ## License
 
 [MIT](LICENSE) — use, modify, share, fork freely. Hope this helps your job search. 💪
-
-PRs welcome if you write new cheat sheets and want to contribute them.