metadata
title: >-
Reproduction logbook — Computationally-efficient Graph Modeling with Refined
Graph Random Features
emoji: 🔬
colorFrom: indigo
colorTo: purple
sdk: static
pinned: false
short_description: Six-claim independent GRFs++ audit
tags:
- icml2026-repro
- paper-NvJPE1oiKd
icml2026-repro / paper-NvJPE1oiKd
Independent referee logbook for Computationally-efficient Graph Modeling with Refined Graph Random Features.
Paper source: arXiv 2510.07716v2.
Evidence is in pages/**/*.md. The six anchored claims are audited
paper-first with independently authored exact enumeration, arithmetic, scope
analysis, and bounded real-graph execution.