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Michele Giletto

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#software testing Dataset Open access Aug 2026

SCILLA v1.1.0 Synthetic Evidence

This dataset is the reproducibility and robustness evidence companion to the SCILLA v1.1.0 canonical research note (DOI: 10.5281/zenodo.22209746). It contains the synthetic evidence used to audit and reproduce the principal computational results of SCILLA, including matched run-level results, aggregate policy effects, paired-bootstrap confidence intervals, sign-flip tests, parameter sensitivity sweeps, prior-mismatch and other ablation experiments, independent trace-verifier results, canonical trace records, the frozen experimental protocol, assumptions, and seed registry. The evidence preserves both positive and negative results. In particular, the released experiments do not support universal adaptive superiority for raw discovery. The dataset instead supports more bounded findings concerning paired ascent/return reacquisition, the constructed priority-weighted Track Debt metric, and decision-weighted utility under the declared synthetic reference conditions. All performance data contained in this record are synthetic or recomputed from the released SCILLA research software. No physical SCILLA field measurement is included. The dataset does not establish operational detection range, field tracking performance, customer ROI, patent status, QPU execution, or quantum advantage. An independent trace verifier is included in the associated evidence architecture to recompute geometry, eligibility, scan constraints, observation identities, paired-state counts, and final metric identities without selecting the optimizer’s actions. This dataset supplements the canonical SCILLA v1.1.0 research publication: Michele Giletto, “SCILLA: Altitude-Coupled Transient Maritime Surface Observation — Geometry, Paired State Estimation, and Falsification of Adaptive Scan Allocation,” Giletto Systems Lab, v1.1.0, 2026. DOI: 10.5281/zenodo.22209746. The next validation gates are external historical sensor replay and a cooperative paired-observation field experiment using synchronized platform navigation and independent target ground truth.

Michele Giletto · 2 citations