External pipelines · RISE project catalogue
ARIS (Auto-Research-In-Sleep)
An open-source research harness for autonomous ML research (arXiv:2605.03042) built around *cross-model adversarial collaboration*: an executor model drives forward progress while a reviewer from a different model family critiques intermediate artifacts and requests revisions. Ships as 74+ Markdown-only `SKILL.md` files plus an optional standalone CLI (ARIS-Code), with the explicit design stance that the harness is a *methodology*, not a platform, portable across Claude Code, Codex CLI, Cursor, Trae, Antigravity, Copilot CLI, OpenClaw, Windsurf, and custom agents.
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by Ruofeng Yang, Yongcan Li, Shuai Li
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
What it does
Treats *long-running plausible-unsupported-success* as the central failure mode of autonomous research and addresses it by mandating cross-model review as the default (executor and reviewer from different model families, e.g., Claude Code + Codex MCP at GPT-5.4 xhigh, or MiniMax-M2.7 + GLM-5). Three-stage evidence verification, five-pass scientific editing pipeline, mathematical-proof checks, visual PDF inspection, and a persistent *Research Wiki* (papers / ideas / experiments / claims + relationship graph). Notably most- starred (9.8k+) Claude-Code-native research harness in the catalog.
- Focus
- end-to-end
- Inputs
- research-direction, prior-paper, base-repo, reviewer-comments
- Outputs
- paper, code, figures, rebuttal, slides, research-wiki
- Architecture
- multi-agent, debate-consensus, human-in-loop, tool-use, rag-knowledge-base, persistent-memory, iterative-loop, artifact-versioning
- Maintained by
- Ruofeng Yang; Yongcan Li; Shuai Li
- Started
- 2026
Description
Data model- Discipline
- Computer science
- Method family
- not specified
- Design
- not specified
- Research stage
- Research questionHypothesesLiterature discoveryLiterature synthesisResearch designData analysisCode generationDraftingRevision and editingReviewDissemination
- Contributors
- Ruofeng Yang; Yongcan Li; Shuai Li
- Usage
- not used in published research yet
- Source
- RISE project catalogue · projects/landscape · @4c17bae
- Record
- pipeline:aris · JSON
Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.
Bring it into the standard
A pipeline built outside E2ER can meet the standard by describing its steps as a template, attaching the floor of checks and publishing evaluation records. Its authors keep ownership and credit.