I am submitting the research paper titled "Redundant Temporal Computing Clusters and Local Entropy Reversal in Cauchy Horizons" for publication as a preprint. This work introduces a novel theoretical framework for Temporal Offloading, utilizing Closed Timelike Curves (CTCs) and Cauchy Horizons to perform high-performance computing tasks. A key contribution of this paper is the proposal of the "Eraser Mechanism", a thermodynamic self-correction process designed to resolve causal paradoxes through local entropy reversal. As an independent researcher, I aim to contribute to the ongoing dialogue regarding the intersection of General Relativity, Quantum Computing, and Thermodynamics. This paper provides the theoretical groundwork for upcoming computational simulations on HPC architectures (NVIDIA Grace Hopper). I certify that this is original work and I look forward to the community's feedback and engagement. Sincerely, Panagiotis Skarvelis Independent Researcher

This paper proposes a theoretical framework for performing large-scale computational processes through Closed Timelike Curves (CTCs). We introduce the concept of the "Temporal Computing Cluster," where multiple processing units are placed in a standby state in the past, within a Cauchy Horizon. It is proposed that transmitting data via quantum entanglement to these nodes allows for the instantaneous receipt of results in the present, effectively shifting the computational cost to the past. Furthermore, a mechanism of local entropy arrow reversal (dS/dt < 0) is analyzed as a means of avoiding causal paradoxes, arguing that the thermodynamic collapse of the system functions as a self-correcting information filter.