Historical Calibration and Operational Consequences in Autonomous Sensor Science Object-Oriented Ontology, Structural Mapping, Natural Reason, History-Reentry Generative Intervals, Sensor-Side Phenomenological Operations, and a Preliminary PyTorch Experiment

This paper investigates how historically retained sensor calibrations and heterogeneous operational configurations affect observation, intervention, and subsequent environmental states in autonomous scientific systems. It develops a philosophical framework connecting operational-shape realism and Xenoscience with object-oriented ontology, structural mapping, Natural Reason, agential realism, and constructor theory. The central inquiry concerns the real effects produced when different operational configurations are introduced into nonhuman scientific arrangements. Philosophical validity, mechanical implementation, physical effects, and inferential justification are treated as distinct dimensions of investigation. Particular attention is given to sensor-side phenomenological operations, understood as configuration-dependent processes of differential acquisition, transformation, retention, and operational coupling, without presupposing phenomenal consciousness. A reproducible PyTorch experiment evaluates five historical-calibration strategies across 10,000 synthetic environments, producing 50,000 policy-specific evaluations. The experiment examines how alternative uses of historical information affect closed-loop interventions and subsequent environmental states. The results demonstrate configuration-dependent differences in control outcomes. Context-addressed historical retrieval and ordinary adaptive memory produce identical results under identical implementations, while an alternative-address strategy achieves lower terminal loss in the tested environment. These findings do not establish an independent generative effect specific to History-Reentry Generative Intervals (HRGI). The paper further examines the philosophical implications of these results for representation, scientific autonomy, historical re-entry, and the operational efficacy of theoretical configurations. It distinguishes experimentally established effects from the broader possibilities of autonomous observability generation, scientific variable formation, and heterogeneous theoretical implementation. The resulting account provides a preliminary computational-philosophical investigation of how historically conditioned operations can reorganize subsequent possibilities within autonomous sensor science.