TITAN COMPACT™ v4.10.2 — Reproducible Computational Validation of a 20 kW Building-Integrated Compute Architecture

TITAN COMPACT™ v4.10.2 is the reproducibility release of Candidate 44, a computationally defined 20 kW building-integrated compute architecture developed to study the coupled behavior of compute demand, constrained grid supply, stationary energy storage, recharge and recovery, electrical distribution, thermal rejection, and building-integrated thermal mass. The central contribution of this release is a frozen and independently rerunnable computational baseline for a prospective physical engineering system. Candidate 44 was subjected to a fresh 100,000-realization, 30-day stochastic reproduction using preserved parameters, engineering constraints, checkpoint lineage, corrected recovery methodology, and random seed. The resulting metrics reproduced the preserved v4.10.1 reference values exactly. This establishes a reproducible computational target for the next development stage: detailed physical engineering, instrumented prototype construction, and experimental comparison between predicted and measured system behavior. COMPUTATIONAL REPRODUCIBILITY Candidate 44 was preserved from the preceding TITAN COMPACT computational development lineage and reproduced without architecture optimization, candidate modification, winner forcing, hard-gate relaxation, or reference-result forcing. The v4.10.2 reproduction used the preserved Candidate 44 parameter record, frozen engineering constraints, corrected v4.10.1 recovery metric, preserved checkpoint lineage, preserved reference results, and preserved random seed. Reference results were used for post-execution comparison and not to alter the fresh simulation outcome. A fresh stochastic evaluation consisting of 100,000 realizations over a modeled 30-day endurance period produced: Electrical survival rate: 91.3130%Electrical failures: 8,687 / 100,000P01 true reserve: 0.000000 kWhP05 true reserve: 0.000000 kWhP10 true reserve: +28.821365 kWhMedian true reserve: +82.217257 kWhP90 true recovery deficit: 0.000000 kWh Reproduction classification:EXACT NUMERICAL REPRODUCTION For the reported comparison metrics, the fresh v4.10.2 values and preserved reference values had zero reported numerical difference. VERIFICATION AND RELEASE INTEGRITY The fresh reproduction was followed by a separate post-run audit. That audit verified the Candidate 44 identity, frozen architecture constraints, fresh-result gates, 100,000-trial raw output, electrical failure count, survival calculation, reference comparisons, checkpoint archives, internal SHA-256 manifest, package structure, and reproduction record. The audited computational artifact was then preserved unchanged within the final organized reproducibility release. Cryptographic manifests and archived reference material are included to support provenance, integrity checking, and subsequent independent examination. The release therefore preserves not merely selected headline results, but the computational evidence required to inspect the reproduced outcome and its relationship to the preserved checkpoint lineage. PHYSICAL ENGINEERING SIGNIFICANCE TITAN COMPACT is modeled as a prospective physical engineering architecture. Its computational variables correspond to intended physical quantities and system interactions, including compute power and operating duration, electrical energy demand, grid contribution, stationary storage capacity, state of charge, charge and discharge efficiency, distribution losses, thermal energy generation and rejection, thermal mass participation, recovery behavior, and modeled failure conditions. The computational analysis is therefore intended to produce quantitative predictions about a defined physical target under explicit model assumptions and boundary conditions. This distinction is important: the v4.10.2 result does not demonstrate that a constructed physical system will necessarily reproduce the simulated behavior. Instead, it establishes a precise, reproducible prediction against which a future physical implementation can be engineered, instrumented, measured, challenged, and refined. That gives the computational result direct value to the physical engineering program. Before prototype construction, the architecture has a preserved candidate definition, operating envelope, stochastic test population, endurance framework, recovery criteria, predicted performance distribution, failure population, and reproducible numerical baseline. The model therefore provides hypotheses that physical experiments can test quantitatively rather than beginning physical development without a defined computational reference. ENGINEERING VALUE OF THE FAILURE POPULATION The release intentionally preserves unfavorable outcomes as part of the engineering evidence. Of the 100,000 modeled realizations, 8,687 experienced an electrical failure under the modeled severe-compound conditions, producing an electrical survival rate of 91.3130%. P01 and P05 worst post-compute reserve values were 0 kWh. These results are not removed, masked, or optimized away. They identify a modeled failure population that can inform subsequent failure-mode analysis, sensitivity studies, protection strategy development, instrumentation requirements, operating-envelope definition, and physical test planning. Likewise, the reproduced P10 reserve of +28.821365 kWh, median reserve of +82.217257 kWh, and P90 true recovery deficit of 0.000000 kWh characterize other portions of the modeled response distribution. Taken together, these metrics describe both capability and vulnerability within the computational architecture and provide measurable targets for future experimental investigation. FROM COMPUTATIONAL REPRODUCTION TO PHYSICAL EXPERIMENT The next phase of TITAN COMPACT is physical engineering and experimental validation. That transition requires converting Candidate 44 from a computational architecture into detailed electrical, thermal, mechanical, structural, controls, protection, safety, instrumentation, and compute-system specifications. A physical experimental program can then measure quantities corresponding to those represented computationally, including: compute power and energy consumption;grid power and energy contribution;storage state of charge;charge and discharge efficiency;electrical distribution losses;thermal accumulation and rejection;thermal-mass response;recharge and recovery behavior;operating limits; andfailure modes. Measured physical data can then be compared directly with the frozen v4.10.2 predictions. Agreement would provide experimental evidence supporting specific aspects of the computational representation within the tested conditions. Disagreement would be equally valuable: it would identify assumptions, parameters, interactions, or unmodeled physical effects requiring revision. The intended validation pathway is therefore: Computational architecture→ frozen candidate→ reproducible computational prediction→ detailed physical engineering→ instrumented prototype→ controlled experimentation→ measured-versus-predicted comparison→ model refinement→ repeated experimental validation. RESEARCH SIGNIFICANCE The significance of v4.10.2 is not a claim that computational reproduction substitutes for physical evidence. Its significance is that the computational stage has produced a frozen and reproducible engineering hypothesis. A physical prototype can now be evaluated against a documented numerical target rather than against an evolving or retrospectively adjusted model. Preserving the candidate, assumptions, stochastic conditions, reference values, fresh reproduction, raw trial results, failures, integrity records, and computational lineage before physical experimentation creates a clearer boundary between prediction and subsequent observation. That separation is important to rigorous engineering validation. Future experimental work can determine which predictions survive contact with physical hardware, which require modification, and how accurately the computational architecture represents the behavior of the engineered system. SCOPE AND LIMITATIONS This release establishes computational reproducibility of the documented TITAN COMPACT v4.10.2 implementation and its preserved reference comparison. It does not constitute physical experimental validation, prototype demonstration, hardware certification, electrical approval, building-code approval, safety certification, manufacturing qualification, or demonstrated commercial performance. The numerical results are computational predictions under the assumptions, equations, parameter distributions, constraints, stochastic procedures, and implementation documented by the release. Their physical accuracy remains an empirical question to be tested through engineering and experimentation. Accordingly, v4.10.2 should be understood as a computational-to-physical engineering milestone: Candidate 44 has reached a frozen, reproducible computational state, providing a documented prediction set and engineering baseline from which physical implementation and experimental validation can proceed. Creator: Abraham Joseph HealdAffiliation: Independent Researcher, Sterling, Illinois, USAVersion: v4.10.2Year: 2026