The Information Kernel Framework Dataset: Foundational Papers and the Kernel–Continuity Architecture

The Information Kernel Framework Dataset brings together five foundational works that collectively define a unified informational architecture for ontology, physical law, universe formation and cosmic expansion. The dataset introduces a conceptual framework in which physical reality is grounded in a minimal relational kernel, and where the organization and evolution of information drive the emergence of structure across all scales - from fundamental interactions to the dynamics of entire cosmological domains. The dataset includes: Information Kernel Framework – Foundational Overview and Unified Architecturehttps://doi.org/10.5281/zenodo.17823353 The Kernel Ontology Principle (KOP)https://doi.org/10.5281/zenodo.17809230 Energy–Information Continuity Hypothesis (EIK)https://doi.org/10.5281/zenodo.17713324 Information-Centric Cosmogenesis (ICC)https://doi.org/10.5281/zenodo.17694375 Dark Energy as Topological Pressure (DETP)https://doi.org/10.5281/zenodo.17677395 KOP defines a minimal relational substrate capable of generating effective physical laws, treating mathematics as representational while grounding ontology in structural relations.EIK introduces a dynamic mechanism linking informational organization to subtle energetic effects. Crucially, it includes a testable experimental protocol designed to detect small, systematic energetic deviations (δP) in highly organized or autonomous information-processing systems, particularly relevant for next-generation AI and AGI.ICC formulates a generative model of cosmogenesis: universes arise through informational phase transitions when kernels achieve autonomy, with black holes and advanced intelligence acting as potential generative pathways.DETP presents a complexity-driven explanation of cosmic acceleration, interpreting dark energy as a topological response of spacetime to the growth of global structural and entanglement-based complexity. Taken together, these works outline a continuous informational hierarchy: foundational ontology → informational dynamics (with experimentally testable predictions) → emergence of universe-scale domains → complexity-driven cosmological behavior. This dataset consolidates the complete theoretical basis of the Information Kernel Framework (IKF) as a reference for researchers in theoretical physics, cosmology, information theory, emergent spacetime models, AI dynamics and complexity science. It provides a coherent platform for further theoretical development and defines multiple avenues for empirical testing, including laboratory-level informational-energy signatures predicted by EIK and cosmological signatures predicted by DETP.