TimeAperture: Density-Aware Visual Analytics for Comprehensive Characterization of Agentic Control Breakdown

Authors

You Li (Fudan University), Tongyu Wu (Fudan University), Xinhang Xie (Fudan University), Siming Chen (Fudan University)

Abstract

We present TimeAperture, a visual analytics system for VAST Challenge 2026 Mini-Challenge 1 (MC1). It analyzes 912 messages from 23 daily-to-hourly rounds with minute-level timestamps through a density-aware temporal frame and linked views. The study finds a Legal-led, cross-role path from preparation to disclosure, migration into Side Huddle and public channels, and recurring warnings that received local responses before release actions concentrated in the final pre-lift round. TimeAperture links these findings to message-level records and separates source-supported relations from temporal succession.