Research that can be inspected, challenged and reproduced.
LatinFlash Research publishes evidence-driven work on software reliability, AI-assisted systems, verification and human-machine collaboration — with methods, limitations and artifacts visible alongside the conclusions.
Current work
Independent technical reports and preprints. Publication status is shown explicitly; preprints are not peer reviewed unless stated otherwise.
People behind the work.
LatinFlash Research publishes work with named authorship, explicit affiliations and versioned research records.
Manuel Enrique Morales Santiago
Researcher and technology consultant at LatinFlash Research. His work focuses on software reliability, AI-assisted systems, verification and reproducible engineering research.
View research profile →Evidence before narrative.
We separate measurement from inference, preserve negative results, disclose methodological corrections and publish the boundaries of what the evidence does — and does not — establish.
Traceability
Important claims should be traceable to data, protocol, literature or a clearly labelled inference.
Adversarial review
We actively search for alternative explanations, ceiling effects, false confidence and disconfirming evidence.
Reproducibility
Where licensing and privacy permit, scripts, ledgers, frozen outputs and reconstruction instructions accompany the work.