arXiv — cs.AI preprintsInternational9 October 2026
Evaluating Budgeted Context Projection with Unexecuted Companion Runs
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arXiv:2609.31381v2 Announce Type: replace Abstract: Context projection can shorten individual requests while changing whether an agent finishes within its budget. We examine how sequential evaluation obscures this trade-off when a capped first continuation prevents its companion from running. In a recorded ReVerPi source-reading campaign, 15 pairs with two final answers yield 12 historically scored successes per arm. Retaining all 27 intervention boundaries distinguishes observed failures from ten unexecuted companions and bounds projected-minus-full success between $-9$ and $+1$ tasks. Under
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