---
title: Adaptive Sensing for Principal Eigenvectors
emoji: 📡
colorFrom: blue
colorTo: green
sdk: static
pinned: false
tags:
  - icml2026-repro
  - paper-XXYhEGXPPF
---

# Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation

Direct CPU-native evaluation of all five registered claims. The package runs Algorithm 1 on the paper's Gaussian model, a 256-trial warmup boundary test, a four-dimension adaptive/non-adaptive/full-observation comparison, and a real moving-eigenvector tracking sweep. The final claim is literally falsified from the pinned primary source because the registry assigns Figure 3's settings to Figure 1.

**Verdicts: Claims 1–4 verified; Claim 5 falsified as literally registered (10/10 conservative maximum).**

```bash
PYTHONDONTWRITEBYTECODE=1 PYTHONHASHSEED=0 PYTHONWARNINGS=error python3 -W error reproduce.py
python3 validate_evidence.py
python3 verify_manifest.py
```