Description (for Experiment 08.zip) This archive contains the full Experiment 08 (E8) reproducibility package accompanying the preprint“Future Access Without Presence (FAWP): Operational Prediction Without Leverage in the Volumetric Time Model”. E8 provides a direct, controlled demonstration of the FAWP regime: a measurable condition in which predictive coupling to future variables persists after actionable (steering) coupling collapses due to latency, noise growth, or access bottlenecks. The experiments in this archive explicitly separate: Predictive coupling between present-accessible data and future system variables Steering coupling between actions and delayed observations along an intervention channel and document a leverage gap in which forecasting remains statistically significant while influence is no longer operational. Contents The archive is organized as follows: Experiment 08/ ├── E8 Experiment 01/ # Baseline FAWP demonstration (prediction vs steering MI) ├── E8 Experiment 02/ # Stratified vs pooled mutual information estimates ├── E8 Experiment 04/ # Shuffle and autocorrelation-preserving shift null controls ├── E8 Experiment 05/ # Bootstrap confidence intervals and estimator stability ├── E8 Experiment 06/ # Event-based mutual information (failure vs state prediction) ├── E8 Experiment 07/ # Leverage-gap visualization and horizon comparison ├── README.txt # Experiment overview and execution notes └── LICENSE.txt # Licensing terms Each subfolder contains: Configuration files (config.json) Raw or processed output data (.csv) Generated figures (.png) Execution scripts where applicable All figures appearing in the accompanying paper’s E8 section are generated directly from these artifacts. Key Results Demonstrated Persistence of predictive mutual information beyond the empirically measured Agency Horizon Collapse of steering mutual information below detection thresholds at comparable delays Positive leverage-gap region, where prediction remains usable but intervention does not Null validation via shuffle and autocorrelation-preserving shift controls (near-zero baselines) Estimator robustness, confirmed by stratified vs pooled MI and bootstrap confidence intervals Event-level controls, separating state prediction from rare-event forecasting A diagnostic spike at zero delay (shared-state dependence) is treated as non-causal and excluded from interpretation. Scope and Interpretation These experiments do not claim retrocausality, time travel, or violation of no-signaling.They demonstrate an operational phenomenon of agency under delayed information: forecasting can remain statistically strong even after actionable access has collapsed. E8 is intended as: A direct confirmation of FAWP A measurement template for latency-limited control and forecasting pipelines A design constraint for robotics, AI systems, and automated decision infrastructures Citation If you use this archive, please cite: R. Clayton (2026).Future Access Without Presence (FAWP): Operational Prediction Without Leverage in the Volumetric Time Model.Zenodo. DOI: 10.5281/zenodo.18673949 Authorship and Priority All experiments, analysis, and definitions in this archive were conceived, implemented, and executed by Ralph Clayton.This ZIP constitutes the primary reproducibility record for Experiment 08.

I report the discovery and formalization of Future Access Without Presence (FAWP): a measurable regime in which an agent obtains nontrivial predictive information about future variables while lacking actionable access to the moment where intervention would meaningfully alter those variables. FAWP names an increasingly common condition in forecasting, automation, and decision pipelines: prediction persists while usable leverage collapses under latency, noise growth, and bottlenecked control channels. FAWP is formalized within the Volumetric Time Model (VTM) as constrained inference under an explicit access filtration (existence ≠ operational access). The core operational separation is expressed in information-theoretic terms by distinguishing (i) predictive coupling between present-accessible data and a future variable and (ii) steering coupling between an action and a delayed observation along an intervention channel. I define a no-leverage FAWP regime in which predictive mutual information remains above threshold while steering mutual information falls below detection, and I introduce the Leverage Gap as a quantitative measure of this separation. This record accompanies a reproducible evidence package spanning E1–E8. Experiments E1–E7 establish the Agency Horizon scaling under latency-dependent noise growth, estimator convergence, robustness beyond Gaussian assumptions, a saturating-noise information floor, coupling-capacity shrinkage under quantization/dropout, a delayed-feedback “control cliff” where viability collapses while mutual information remains nontrivial, and a Bell–CHSH consistency check demonstrating correlation without controllable transfer while preserving no-signaling. E8 provides a direct confirmation of FAWP across delay grids using pooled vs stratified mutual information, shuffle/shift null controls, bootstrap confidence intervals, event-based mutual information controls, and explicit leverage-gap visualization showing prediction persisting after control collapses. FAWP is presented as an operational science of agency under delayed information (not as a new fundamental physical law): it formalizes when forecasting remains statistically strong while actionable influence is no longer available. DOI: 10.5281/zenodo.18673949