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Agents2026-06-22 · source-backed
arXiv 2606.18847 introduces a benchmark and models for agents that must carry state across many steps instead of acting one-shot, targeting the durability-of-state gap most agent evals skip. It's aimed at realistic, hours-long tasks rather than single-turn actions. If you're building agents that run for hours and quietly lose the plot halfway through, this is the eval that measures the failure you're feeling.
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Reported by the same outlet (arxiv.org); overlapping topics (agent, eval); pushes against this story (but).
Same source domain / Shared topic / Tension
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Reported by the same outlet (arxiv.org); overlapping topics (agent, embodied, failure); pushes against this story (but).
Reported by the same outlet (arxiv.org); overlapping topics (action, agent, failure); pushes against this story (but).
Same source domain / Shared topic
Reported by the same outlet (arxiv.org); overlapping topics (action, agent, benchmark, failure).
Reported by the same outlet (arxiv.org); overlapping topics (acting, action, agent, benchmark).
Same source domain / Shared topic / Tension
Reported by the same outlet (arxiv.org); overlapping topics (agent, eval); pushes against this story (against).
Reported by the same outlet (arxiv.org); overlapping topics (agent, failure); pushes against this story (against).