arXiv: cs.AI preprintsInternational6 November 2026
The Physical Cost of Context: Quality-Constrained Resource Accounting for Coding Agents
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arXiv:2610.34763v2 Announce Type: replace-cross Abstract: Coding agents resend a growing context on every model call, and context policies are usually judged by the prompt tokens they save. Executed work also depends on call count and prefix reuse: a caching runtime prefills only the tokens after the longest cached prefix. A shorter prompt can therefore cost more if it rewrites cached history. Our quality-gated protocol splits executed prefill into logical prompt minus reused prefix and measures KV residency, time, and energy. On 450 localization cases derived from SWE-rebench V2, preloading t
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