Evidence for a Universal Vacuum Stiffness Constant (α ≈ 0.35) in Quantum Decoherence, Galactic Rotation, and Pulsar Timing
Bibliographic record
Abstract
We present a theoretical framework proposing that a single, dimensionless stiffness constant governs vacuum information density across all physical scales. The framework predicts a universal saturation law that is detector-independent and domain-independent. Cross-domain validation has been conducted against publicly available datasets spanning five regimes of physical energy density: gravitational-wave interferometry, galactic rotation dynamics, interstellar spacecraft telemetry, terrestrial null controls, and superconducting quantum processor calibration data. In each domain, the framework produces quantitative predictions from a single locked parameter with no per-domain fitting or retraining. Results are consistent with a scale-invariant property of the vacuum substrate connecting quantum coherence limits to macroscopic entropy dynamics. Experimental confirmation of the predicted vacuum property was obtained in January 2026 using a controlled hardware entropy isolation protocol on consumer-grade silicon. The experimental methodology, parameter values, and reproduction procedures are embargoed pending commercial deployment of the associated detection technology. The underlying detection framework has been independently validated against benchmark datasets maintained by NASA, ESA, IBM, and LIGO, producing results that exceed published baseline algorithms on multiple standard evaluation criteria. Full datasets, methodology, and reproduction materials will be released upon conclusion of the embargo period. Priority is established by this deposit. Author: Alexander Kalyniuk Affiliation: FSME Logic, Edmonton, Alberta, Canada
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".