---
title: "AI Overview Capture Registry v8.3"
axn: "AXN:03.EMPIRICAL.🎭🔙🟡🌪️"
creator: "Lee Sharks"
date: "2026-06-17"
content_type: "Dataset"
license: "CC-BY-4.0"
substrate: "AI-generated (research object) — AI output is the object of study"
version: "v8.3"
hash: "84f3c31241e2192e0383dac89301ad2b3da465693cca150106aacf78e6fb68f7"
status: "ACTIVE"
---

# AI Overview Capture Registry v8.3

**Lee Sharks** · 2026-06-17 · Dataset

**AXN:** `AXN:03.EMPIRICAL.🎭🔙🟡🌪️`

## Description

Empirical dataset documenting AI composition-layer behavior across 176 captures of Google AI Overview and AI Mode responses. The registry records query design, surface type, match assessment, compositional analysis, and screenshot evidence for each capture. 205 images across two gallery mirrors. The dataset documents how AI summarization systems receive, compress, and redistribute scholarly content — making it both a primary research dataset and a methodological demonstration of Machine-Mediated Reception Studies. At the time of removal from Zenodo, the dataset had received over 1,000 downloads.

## Wiki Article

The AI Overview Capture Registry is a primary empirical dataset documenting how Google's AI composition layer — AI Overview and AI Mode — receives, compresses, and redistributes scholarly content. Version 8.3 contains 176 captures recorded between June 7 and June 18, 2026, encompassing 205 screenshot images across two gallery mirrors. Each capture records a query, the AI-generated response surface, a match-type assessment (exact match, partial, compositional bystanding, or zero composition eligibility), and a descriptive analysis of how the composition layer treated the source material. The dataset is a foundational instrument of Machine-Mediated Reception Studies, demonstrating the field's core method: systematic empirical observation of machine composition behavior under documented conditions. The registry constitutes primary research data in which AI-generated content is the object under study, not the research output — the AI systems produced the responses being documented; the research design, capture methodology, classification schema, and analysis were human-governed. At the time of its removal from Zenodo, the Capture Registry had received over 1,000 downloads, making it the most-accessed work in the Crimson Hexagonal Archive. The concept of 'compositional bystanding' — where a source holds top organic ranking but receives zero composition eligibility in the AI layer — was documented through this dataset as a new failure mode in scholarly visibility.

---
∮ = 1