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Long-Horizon Agent Trajectory Attribution: A Unified Benchmark and Fine-Grained Annotation Framework

arXiv cs.AI ↗ · 2026-08-10 Cached

This paper introduces a unified benchmark and fine-grained annotation framework for long-horizon agent trajectory attribution, enabling evaluation of primary attribution localization and attribution-chain recovery across diverse settings. It provides over 1,300 annotated trajectories from existing agent benchmarks and releases a reusable annotation skill for standardizing future trajectories.

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