Published October 21, 2026 | Version v1
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Detector-Facing Empirical Protocols for Semantic Commitment Quantum Gravity

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SCQG Paper 12 of 28

 

This paper sets out experiments for testing Semantic Commitment Quantum Gravity. It connects the theory’s physical equations to detector records, matched control interventions and decision rules fixed before data collection.

The main laboratory proposal uses light coupled to a mechanical oscillator. It compares three conditions. Arm D adds measured noise independently of the record. Arm C measures the system and uses the result for feedback control. Arm S keeps that physical control matched and changes a stored instruction that selects a later action. The contrast C − D tests active record stabilization. The contrast S − C tests whether instruction content changes later choices on new task cases excluded from training and tuning.

The paper gives equations for the cavity and oscillator, continuous measurement, feedback, noise, covariance reconstruction, work and heat. The calculations include the physical bath response, detector bandwidth, control latency and approximation error. Calibration and statistical procedures connect predicted changes in physical variability to quantities estimated from repeated runs.

A source–receiver protocol distinguishes when a record becomes physically available from when the receiver can reliably identify its source. A separate clock protocol tests whether retained physical records can distinguish different cycles of a repeating clock. Gravity protocols combine causal order, discrete curvature, screen response, energy flux and tensor reconstruction to test the Einstein equation at specified scales.

Each protocol specifies the controls, calibration, uncertainty, held-out evaluation, stopping rules and retained data needed to reproduce the analysis. These conditions determine when a result supports the tested prediction, reveals a physical discrepancy or remains inconclusive.

This is Paper 12 of the Semantic Commitment / Quantum Gravity series.

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Additional details

Continues
Preprint: 10.5281/zenodo.23484928 (DOI)
Preprint: 10.5281/zenodo.23485940 (DOI)
Preprint: 10.5281/zenodo.23487126 (DOI)
Preprint: 10.5281/zenodo.23487391 (DOI)
Preprint: 10.5281/zenodo.23487991 (DOI)
Preprint: 10.5281/zenodo.23488623 (DOI)
Preprint: 10.5281/zenodo.23492332 (DOI)
Preprint: 10.5281/zenodo.23516573 (DOI)
Preprint: 10.5281/zenodo.23518205 (DOI)

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