Cavumo Context 1
Working today: permission-scoped hybrid context resolution. Research: learned selection under a token budget. The candidate remains inactive pending its research gate.
Not yet validatedSystems research, specialist models, and the engineering of private intelligence. Explore what we’ve built, what we’ve measured, and what we’re testing next.
Same model. Identical generated outputs.
Inside a paired Gemma study of resource-bounded planning and guarded reuse on an 8 GiB Mac.
Real Gemma LoRA fitting, bounded training grants, and why lower loss is only the beginning.
Learned selectors, strong clause baselines, and the decision to keep a candidate inactive.
How reviewed memory and Org Brain connect agents without making every source available to everyone.
Complementing compatible base models with context selection, evidence assessment, and improvement recommendations.
Working today: permission-scoped hybrid context resolution. Research: learned selection under a token budget. The candidate remains inactive pending its research gate.
Not yet validatedWorking today: exact cited-quote checks against fresh permitted evidence. Research: a trained semantic-support model with calibrated uncertainty; not trained yet.
Not yet validatedWorking today: explicit-rule guidance for reviewed failures. Research: a learned experiment-outcome predictor; not trained yet. Advice cannot authorize training.
Not yet validatedExternal papers by their respective authors. Cavumo’s notes above are internal engineering reports, not peer-reviewed publications.