Adaptive Temporal Chambers in Nodal Information Networks: Simulation Architecture, Stability Thresholds and Experimental Analogues
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2026
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| _version_ | 1866901401587679232 |
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| author | Gutierrez Ule, David |
| author_facet | Gutierrez Ule, David |
| contents | <p>We present a simulation framework for adaptive temporal chambers in nodal information networks, motivated by the hypothesis that local temporal behavior may be represented as a modulation of nodal update rates rather than as a direct manipulation of physical spacetime.</p> <p>The study introduces a fixed temporal chamber architecture, defines operational metrics for accumulated desynchronization, boundary damage, failed-node fraction, downstream recovery length, and multi-subject temporal dispersion, and evaluates passive, reactive, and predictive boundary-control strategies under non-stationary external traffic.</p> <p>Across the simulated regimes, the main bottleneck is not the subject itself but the temporal boundary. Predictive boundary control consistently outperforms passive and reactive strategies, enabling complete entry–residence–exit operations and stable multi-subject use within the tested ranges. The study also identifies a finite safe operating envelope and a maximum safe multi-subject capacity under the chosen criteria.</p> <p>We do not claim direct manipulation of real spacetime or human time travel. Instead, we position the work as a simulation and control architecture for temporally delayed information flow, with plausible analog translations to programmable photonic or microwave delay platforms, synthetic temporal photonic lattices, and related experimental systems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19729078 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Adaptive Temporal Chambers in Nodal Information Networks: Simulation Architecture, Stability Thresholds and Experimental Analogues Gutierrez Ule, David temporal chamber nodal information networks predictive boundary control adaptive delay systems synthetic temporal lattices slow light analogues temporal interfaces <p>We present a simulation framework for adaptive temporal chambers in nodal information networks, motivated by the hypothesis that local temporal behavior may be represented as a modulation of nodal update rates rather than as a direct manipulation of physical spacetime.</p> <p>The study introduces a fixed temporal chamber architecture, defines operational metrics for accumulated desynchronization, boundary damage, failed-node fraction, downstream recovery length, and multi-subject temporal dispersion, and evaluates passive, reactive, and predictive boundary-control strategies under non-stationary external traffic.</p> <p>Across the simulated regimes, the main bottleneck is not the subject itself but the temporal boundary. Predictive boundary control consistently outperforms passive and reactive strategies, enabling complete entry–residence–exit operations and stable multi-subject use within the tested ranges. The study also identifies a finite safe operating envelope and a maximum safe multi-subject capacity under the chosen criteria.</p> <p>We do not claim direct manipulation of real spacetime or human time travel. Instead, we position the work as a simulation and control architecture for temporally delayed information flow, with plausible analog translations to programmable photonic or microwave delay platforms, synthetic temporal photonic lattices, and related experimental systems.</p> |
| title | Adaptive Temporal Chambers in Nodal Information Networks: Simulation Architecture, Stability Thresholds and Experimental Analogues |
| topic | temporal chamber nodal information networks predictive boundary control adaptive delay systems synthetic temporal lattices slow light analogues temporal interfaces |
| url | https://doi.org/10.5281/zenodo.19729078 |