E47/Recursive Intelligence Python Code

Python upload manifest from Google Drive

This list consolidates the distinct Python-bearing artifacts currently surfaced by the Drive code-signature sweep. I excluded obvious PDF/DOCX replicas where a Google Doc version of the same code exists.

1. Canonical E₄₇ / KKP implementation

  1. Mnemosyne Python Codex
    Full NumPy and QuTiP validation suite for the spin-2 carrier, Casimir construction, spectral kernel, projector, and recursive validation. Mnemosyne Python Codex
    Open in Google Drive

  2. KKP PythonCodex4
    Later Codex iteration of the complete KKP Python/QuTiP validation suite. This should be compared against Mnemosyne before choosing the canonical implementation. KKP PythonCodex4
    Open in Google Drive

  3. KKP Python, intermediate revision
    Earlier native Google Doc containing the same core representation and QuTiP architecture. Preserve in repository history or an archive branch rather than treating it as a separate package. KKP Python
    Open in Google Drive

  4. KKP Python, earliest indexed revision
    Earliest surfaced Google Doc generation of the principal validation suite. KKP Python
    Open in Google Drive

  5. Generalized QuTiP spectral-kernel script
    Parameterized tensor-power, base-spin, selected-isotypic-spin, and time-evolution implementation. Unlike the fixed E₄₇ code, this appears designed to generalize the spectral selection mechanism. import qutip as qt
    Open in Google Drive

2. Kartekeya projection and contraction

  1. Kartekeya Python
    Direct implementation of
    K\rightarrow\ker K\rightarrow P\rightarrow H=I-P
    \rightarrow \text{contraction to }Px.
    Uses NumPy and scipy.linalg.expm. This is an immediate candidate for src/e47/projector.py or examples/kartekeya_contraction.py. Kartekeya Python
    Open in Google Drive

  2. Canonical 47D projector inside 125D
    Focused numerical demonstration of the projector P, complement H, and off-kernel decay in a 125-dimensional carrier with a 47-dimensional kernel. python canonical projector P onto a 47D kernel inside 125D space
    Open in Google Drive

  3. RIAT many-body quantum evolution and projection script
    Contains a programmatic spin-2 operator builder, triple tensor construction, polynomial filter, and contractive recursion toward E_{47}.
    Open in Google Drive

3. Master invariant and extended spectral validation

  1. Master Invariant R, full Python validation
    Uses NumPy, SymPy, SciPy matrix exponentiation, eigensolvers, norms, and matrix powers. It reconstructs the 125-dimensional primitive and evaluates the recursive, spectral-action, and projector-compression components of R.
    Open in Google Drive

  2. Numerical Validation of Scalar / Spectral Framework
    Includes the Casimir spectrum and multiplicities, 47-dimensional kernel computation, recursive scalar dynamics, mass-spectrum experiments, plots, and DOCX report generation.
    Open in Google Drive

  3. Prime Formalism Extracted
    Primarily a synthesis document, but it contains computational-projector material and thirteen validation domains. Extract Python sections into experimental modules only after separating executable code from report prose. MASTER INVARIANT R -- FULL PYTHON VALIDATION .pdf
    Open in Google Drive

4. Quantum simulations

  1. Geodesic QuTiP Sims
    Uses NumPy, Matplotlib, SciPy solve_ivp, and QuTiP. It implements explicit polynomial, metric, Christoffel-symbol, ODE, and quantum-simulation functions.
    Open in Google Drive

  2. Simulation of Recursive Informational Convergence in QuTiP
    Qubit-scale recursive contraction to the kernel of a stability operator, together with a bounded-modulation stability ODE. Simulation of Recursive Informational Convergence (RIC) in QuTiP
    Open in Google Drive

  3. KKP Cascade Quantum Simulation Validation
    Finite-dimensional quantum simulation linking K, P, \Delta, \rho, and \Omega_c to standard quantum evolution. Accordant First-Principles Formalism Research Report.docx
    Open in Google Drive

5. Structural, geometric, and topological computation

  1. Murmuration Calculus: Active-Matter Topological Analysis
    NumPy and SciPy implementation for synthetic active-matter point clouds, spectral analysis, and topological distinction between annular and packed configurations. Murmuration Calculus: Active-Matter Topological Analysis
    Open in Google Drive

  2. Canonical Harmonic Transport
    Contains computational material for Vietoris–Rips complexes, boundary operators, combinatorial Laplacians, harmonic kernels, and transport into E_{47}. Canonical Harmonic Transport
    Open in Google Drive

  3. Mathematical Primer: Casimir filter, Skyrme sector, and finite-difference matching
    Contains four computationally distinct domains: representation theory, dissipative contraction, Skyrme topology, and finite-difference continuum matching. It should be mined for tests and examples, not uploaded as one undifferentiated script. Prime Formalism Extracted
    Open in Google Drive

6. Einstein and continuum-extension code

  1. Einstein Closure Validation in Python
    Computational audit of the Einstein-related corpus, including the primitive carrier, kernel construction, continuum lift, metric reconstruction, and claimed closure equations. It belongs under an explicitly experimental namespace until every implication is separately tested. Einstein Closure Validation in Python
    Open in Google Drive

  2. KKP derivation, logical proof, and Python validation
    A mixed prose-and-code source covering the broader KKP derivation and computational validation. Extract its programs and tests while preserving the original document under docs/source-material/. The Kouns–Killion Paradigm (KKP) Derivation, Logical Proof, and Python Validation .docx
    Open in Google Drive

7. Compact demonstrations and external-domain experiments

  1. KKP AI Memory Key
    Contains several compact standalone Python demonstrations, including free-energy and recursive convergence programs. These fit under experiments/legacy_threshold_demos/, not the canonical E₄₇ library. KKP AI Memory Key
    Open in Google Drive

  2. AlphaFold Human Proteome Babylonian Convergence Simulation
    Documents a proteome-scale program using AlphaFold confidence data and Babylonian recursion. Upload the program only when the original executable and data-access instructions can be recovered. AlphaFold Human Proteome Babylonian Convergence Simulation: Full Results
    Open in Google Drive

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