General Public
Begin with authorship, scope, and the shortest bounded route into the corpus.
Ivan Pasev
Research and engineering across mathematical physics, relational systems, computation, and governed digital infrastructure.
The work begins with a common question: How can physical, mathematical, observational, and computational systems be described through structures that preserve identity while they transform?
Rather than treating physics, formal logic, and distributed software as isolated disciplines, this public corpus develops a continuous relational framework. Foundational ontology progresses directly into mathematical formalization, numerical simulation, and deterministic software engineering.
Illustrates how invariant identity is preserved across continuous transformations between physical, mathematical, and computational systems.
Physical states and particles emerge as stabilized invariant relations rather than fundamental isolated substances.
Observer Coupling →Measurement is formalized as an explicit relational boundary condition between observer coordinate frames and observed manifolds.
Conserved Invariance →All admissible transformations in mathematical physics and software architectures must preserve declared structural invariants.
All There Is referential horizon, relational substrate, admissible transport, and observer disclosure.
Mathematical physics, variational field actions, 26 Lean 4 proofs, and pre-registered falsification.
Civilization 2.0 systems spine, Digital Fabrica Theory, CodexStation runtime, and invariant engineering.
16 normalized domain architectures with bounded problem scopes, formal invariants, and canonical whitepapers.
18 active research programs, laboratory testbeds, and prospective empirical falsification gates.
Authorial provenance, dual-pillar career across theoretical physics and enterprise systems, and contact.
The corpus anchor for a structural account of reality, observation, and lawful invariance.
A physics-facing program that organizes proposed law, field, geometry, and measurement relations.
A systems translation of fabric principles into identity, provenance, and governed transformation.
A field-theoretic research program with explicit mathematical and computational obligations.
A discipline for preserving declared structures under admissible system transformation.
A proposed observer architecture connecting identity, information, and measurement boundaries.
Not machine verified.
Axiom RegisterSource-Documented ConceptSource grounded, not necessarily proven.
Formalization RoadmapFormalization TargetNot machine verified.
SimulationsSimulation SurrogateEvidence by contact, not proof.
Publication StatusPublic RecordRecord keeping only.
Research Review PortalPublic RecordRecord keeping only.
Public Source GraphStandard ReferenceReference only, not acceptance.
The public governance and continuity shell for institutional routes.
A frontier-program surface for coordination and applied research routing.
A systems surface for registry discipline, workflow, and evidence handling.
A bounded project route presented separately from scientific theory status.
The public continuity corpus and route-preservation layer.
Begin with authorship, scope, and the shortest bounded route into the corpus.
Inspect theory boundaries, axioms, proof obligations, and review routes.
Follow the systems layer from invariant design into projects and governance.
Trace claims, sources, formalization state, and explicit review boundaries.
Inspect governance, corpus continuity, and public institutional records.
Review the program landscape, implementation boundaries, and public records.
Move from route orientation into implemented and planned systems surfaces.
Build vocabulary through foundations, review context, and the canonical library.
Public exposition; not proof acceptance or empirical validation.
Public exposition; not proof acceptance or empirical validation.
Public exposition; not proof acceptance or empirical validation.
Provides experimental reference values, particle classification schemes, and standard empirical bounds for elementary particle physics.
Enter the foundational theoretical spine, review formal mathematical proof targets, run numerical simulations, or choose a tailored reader pathway.