
doi: 10.5281/zenodo.19853609 , 10.5281/zenodo.19858723 , 10.5281/zenodo.19702854 , 10.5281/zenodo.19441145 , 10.5281/zenodo.20112910 , 10.5281/zenodo.19434770 , 10.5281/zenodo.19918568 , 10.5281/zenodo.19776075 , 10.5281/zenodo.19711458 , 10.5281/zenodo.19774933 , 10.5281/zenodo.19522455 , 10.5281/zenodo.19561957 , 10.5281/zenodo.19637618 , 10.5281/zenodo.19443201 , 10.5281/zenodo.19775877 , 10.5281/zenodo.19439807 , 10.5281/zenodo.19434981 , 10.5281/zenodo.19608947 , 10.5281/zenodo.19434980 , 10.5281/zenodo.19681405 , 10.5281/zenodo.19434252 , 10.5281/zenodo.19434251 , 10.5281/zenodo.19435896 , 10.5281/zenodo.19501588 , 10.5281/zenodo.19741870
doi: 10.5281/zenodo.19853609 , 10.5281/zenodo.19858723 , 10.5281/zenodo.19702854 , 10.5281/zenodo.19441145 , 10.5281/zenodo.20112910 , 10.5281/zenodo.19434770 , 10.5281/zenodo.19918568 , 10.5281/zenodo.19776075 , 10.5281/zenodo.19711458 , 10.5281/zenodo.19774933 , 10.5281/zenodo.19522455 , 10.5281/zenodo.19561957 , 10.5281/zenodo.19637618 , 10.5281/zenodo.19443201 , 10.5281/zenodo.19775877 , 10.5281/zenodo.19439807 , 10.5281/zenodo.19434981 , 10.5281/zenodo.19608947 , 10.5281/zenodo.19434980 , 10.5281/zenodo.19681405 , 10.5281/zenodo.19434252 , 10.5281/zenodo.19434251 , 10.5281/zenodo.19435896 , 10.5281/zenodo.19501588 , 10.5281/zenodo.19741870
We propose a model in which proper time emerges from a finite local information samplingcapacity and wave-function collapse occurs when the informational content of a quantum branchapproaches a critical informational threshold. The Bekenstein bound is employed as a naturalcandidate for this threshold, but the framework is explicitly open to other informational limits thatcould trigger probabilistic pruning. Combining insights from entropic gravity, holographic entropylimits, and objective collapse models, we suggest that collapse corresponds to stochastic pruning ofbranches approaching saturation of local information capacity. The collapse rate is derived from thegravitational self-energy of spatially separated branches, yielding a dimensionally consistent scalingrelation with quadratic mass dependence consistent with the Diósi–Penrose framework. The modelpredicts anomalous decoherence in massive spatial superpositions and provides experimentallytestable thresholds relevant to next-generation interferometers. This framework offers a unifiedperspective relating emergent time, collapse dynamics, and gravitational information bounds.
Note: Bekenstein bound proposed as suggestion of pruning trigger, not definitive mechanism. Other informational thresholds possible.
emergent proper time, wave-function collapse; Bekenstein bound; emergent proper time; entropic gravity; holographic information; macroscopic quantum superpositions; Diósi–Penrose model; least action; many worlds., Bekenstein bound, Diósi–Penrose model, macroscopic quantum superpositions, Strange Rose, quantum foundations; wave-function collapse; Bekenstein bound; emergent proper time; entropic gravity; holographic information; macroscopic quantum superpositions, Time, wave-function collapse, entropic gravity, Quantum Foundation, Stochastic Rupture, quantum foundations; wave-function collapse; Bekenstein bound; emergent proper time; entropic gravity; holographic information; macroscopic quantum superpositions; Diósi–Penrose model., holographic information
emergent proper time, wave-function collapse; Bekenstein bound; emergent proper time; entropic gravity; holographic information; macroscopic quantum superpositions; Diósi–Penrose model; least action; many worlds., Bekenstein bound, Diósi–Penrose model, macroscopic quantum superpositions, Strange Rose, quantum foundations; wave-function collapse; Bekenstein bound; emergent proper time; entropic gravity; holographic information; macroscopic quantum superpositions, Time, wave-function collapse, entropic gravity, Quantum Foundation, Stochastic Rupture, quantum foundations; wave-function collapse; Bekenstein bound; emergent proper time; entropic gravity; holographic information; macroscopic quantum superpositions; Diósi–Penrose model., holographic information
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