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Large-scale terminal agentic trajectory generation from dockerized environments.CoRR, abs/2602.01244

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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cs.CL 2 cs.AI 1

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2026 3

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TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks

cs.AI · 2026-05-21 · conditional · novelty 8.0

TerminalWorld builds a scalable benchmark of 1,530 real terminal tasks from recordings and finds frontier models and agents reach at most 62.5% pass rate with only weak correlation to prior expert-curated sets.

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  • TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks cs.AI · 2026-05-21 · conditional · none · ref 11

    TerminalWorld builds a scalable benchmark of 1,530 real terminal tasks from recordings and finds frontier models and agents reach at most 62.5% pass rate with only weak correlation to prior expert-curated sets.