Domain-Agnostic Computational Framework for Scientific Research
Domain-Agnostic Computational Framework for Scientific Research
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Original abstract
Lattice24 develops a patented octonion-based computational framework (AOI) that solves optimization problems across domains — from molecular simulation to fluid dynamics to financial signal processing. The same 24-dimensional mathematical core has produced published results in Parkinson's pathway analysis, industrial gas sensor detection, and carbon credit generation through entropy compression. We need workstation-grade hardware to run GPU-accelerated decomposition pipelines and continue publishing peer-reviewed research. Current work includes structural approaches to two Clay Millennium Prize Problems (Yang-Mills mass gap, Navier-Stokes smoothness), with results timestamped on Zenodo (DOI 10.5281/zenodo.18905053). All code is open-source under CC-BY-4.0. Correction (2026-07-29): This record's statement that the same 24-dimensional core "has produced published results in Parkinson's pathway analysis" is incorrect and is withdrawn. No Parkinson's record exists in this corpus - a search of all 82 deposited records for "parkinson" returns exactly one hit, this record itself - and the attached parkinsons_results.txt names no dataset, no cohort, no accession and no subjects; its only count is 8,192 shots of a 12-qubit simulated circuit whose 32 rotation angles come from a fixed constant table that reappears unchanged, merely relabelled with industrial names, in the penicillin-fermentation report co-deposited in this same record (super-logarithm 34.030806 for the Parkinson's file against 34.031437 for the penicillin file). A subsequent test on real data does not rescue the claim: run on the UCI Parkinson's voice dataset (195 rows, 32 subjects, subject-grouped) through the 96D collapse engine, the collapse signature reaches held-out AUC 0.691 with permutation p = 0.005, but it loses to plain logistic regression on the raw features by 0.037 AUC, loses to 42 random linear projections of the same 24-dimensional input by 0.024 AUC, and adds nothing when concatenated with the raw features (+0.005 AUC, CI spanning zero); on telemonitoring UPDRS it is indistinguishable from chance (permutation p = 0.57 and 0.34). The sentence should be read as: the same 24-dimensional core has produced published results in industrial gas sensor detection (10.5281/zenodo.18809407) and pharmaceutical bioreactor fault separation on the IndPenSim dataset (10.5281/zenodo.18809717). Nothing in this deposit supports a clinical, therapeutic or mechanistic claim about Parkinson's disease.