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Hypothica
Structured hypotheses. Model graphs. AI-ready scientific reasoning.
Purpose
A structured theory library for human and AI-assisted science.
Hypothica is being built as a repository for scientific hypotheses, mathematical models and theoretical frameworks. Articles are not only stored as text: strong submissions can be converted into Hypothica Model Graphs, where assumptions, definitions, equations, claims, predictions, weak points and falsification criteria become explicit objects that AI can reason over.
The goal is not to make speculation look proven. The goal is to make early scientific ideas transparent, structured and testable enough that people and AI can improve them systematically.
AssumptionsMake hidden premises visible.
EquationsConnect formulas to claims.
PredictionsSeparate testable outputs from speculation.
Weak pointsShow exactly where a model needs work.
1Published articles
3Users worldwide
39Recorded reads
0Awaiting review
Workflow
From article to machine-readable model graph.
Admin + AI extraction
After review, the article can be converted into a Model Graph with assumptions, variables, equations, claims, predictions and falsification criteria.
Build on what is explicit
Because dependencies and weak points are visible, future AI workflows can compare models, find contradictions and suggest focused next steps.
Latest published work
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We formulate an effective theoretical framework in which black-hole singularities are replaced by a bounded state of local information saturation. The model, referred to here as the Quantum Network Bridge (QNB) framewor…
Publication on Hypothica is not automatic peer review.
Publication means an idea is structured, transparent and moderated. A Model Graph makes assumptions and reasoning easier to inspect, but scientific strength still depends on evidence, reproducibility, expert criticism and external validation.