Overview
Hierarchical execution, independent verification, and recovery for long-horizon AI-assisted research.
The existing personal archive describes durable state, explicit handoffs, verification, recovery, and bounded agent authority as the workflow’s core concerns.
My role
I lead this project within QRS. Associated research outputs carry their own author lists.
Current scope
Active research, as recorded in the QRS project registry reviewed on 10 October 2026.
Public resources
Source and status
This description is grounded in the QRSNTU project registry and its generated public project page, reviewed on 10 October 2026. Project status and paper status are separate; related publication records retain their own visibility and metadata.
Associated research
The QRS research registry associates the following public research records with this project. These references are kept separate from this website’s curated publication catalog.
- Geometric Attention Fine-Tuning Is Representation-Relative: Autonomous ML Research with AI-Native Workflow — NeurIPS 2026 AutoMLR, 2026.