Atlas: Making Sense of Long Horizon Agent Trajectories
4.20T1 sourcearXiv cs.HC
arXiv cs.HCoriginal source ↗
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2610.30548.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAtlas is an agentic workspace that renders long-horizon AI agent runs as a branching trajectory tree spanning goal, decision, and artifact levels. A within-subjects study (N=14) reported higher decision transparency, stronger artifact sensemaking, and lower subjective workload versus a baseline.
Why it mattersConcrete tool and three-level framework for post-run sensemaking of agent trajectories, with a controlled user study against a baseline.
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