ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱

Don't trust an autoresearch paper at face value. Reviewer-side integrity forensics (self-consistency + fabrication), deterministic verdict. 61 signals: 46 integrity hack-patterns (families A–H, verdict-bearing) + 13 zero-weight AI writing-style impressions (AIS) + 2 advisory. Not an opaque AI-text classifier. The dual of ARIS.

Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.

Generalizing ARIS from 科研 to 研究 — same five-step loop (plan · draft · adversarial review · iterate · persist) applied beyond academic research to investment DD, legal, market, self-directed learning, journalism, engineering post-mortems (科研 ⊂ 研究) 🌱

Streamline your AI research and campus recruiting tasks with the ARIS agent framework to secure job offers.

这是一个模仿ARIS Process Mining（ARIS流程挖掘）的一个前端项目，用于学习其架构思路。

An ARiS-Concept Equivalent Offline Enrollment Implementation that runs in C CLI with Win32API. | Exclusively Runs on Windows OS.

Arislauncher Chinese help document archive.

ARIS-CryptoPass is a little software to save Password And Credit Cards on desktop

This microservice is a template demoing how to transfer Cumulocity data to an ARIS Process Mining tenant.

Automate code reviews for general code projects with modular parallel checks, config-driven scope, and clear reports.

ARIS models plant growth based on environmental parameter.

An automated solution to download ARIS models using Selenium.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

Generates files compatible with the Ontario Ministry of Transportation's Authorized Requester Information Services (ARIS). Parses files downloaded from ARIS.

Codex-native wrapper for upstream ARIS research workflows with e2e runs, preflight checks, and paper-ready artifacts.

Analyze Claude Code’s architecture with source-level research, code citations, and a 14-chapter deep dive into its TypeScript system