arXiv — cs.AI preprintsInternational5 October 2026
From Migration to Calibration: Preserving Agent Capabilities across Models, Jurisdictions, and Scale
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arXiv:2609.35149v2 Announce Type: replace Abstract: Deploying, migrating, or scaling an agent can change its model, harness, infrastructure, application, and intended users. We formulate agent calibration as standards-first adaptation: define basic-capability, technical-environment, and user-context standards; diagnose gaps; generate and apply revisions; and recheck the same standards within fixed budgets. These standard families interact across information, harness, and user-acceptance layers. Source behavior is diagnostic, not a perfect reference or capability ceiling: model replacement can
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