AnalysisAI AgentsOctober 13, 2026

Paper proposes Recursive Environment Scaling for long-horizon agents

Read original source →arxiv.org

The method transforms existing benchmarks to raise difficulty while preserving objectives, aiming to improve both agent evaluation and supervised fine-tuning. It targets information access, resource relations, and execution dependencies, with execution-grounded checks and paired evaluation.

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