CLE_V2_RESEARCH_PIPELINE_STATUS.txt

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CLE v2 — Predictive Admissibility Search
Research Pipeline Status Summary
UNNS Substrate / Structural Rigidity Program
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PROJECT STATUS:
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The project has successfully transitioned from:

    isolated domain experimentation

to:

    unified rigidity manifold reconstruction.

The current phase established the first operational
cross-domain admissibility comparison framework across:

    • helium interaction systems
    • neutrino detector manifolds
    • cosmological spectral structures

using a common rigidity geometry formalism.

This document summarizes:
    • completed work,
    • validated findings,
    • discovered failures,
    • architectural evolution,
    • immediate next refactor requirements.

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I. CORE CLE v2 FOUNDATION
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The following foundational components were established:

    rigidity_engine.py
    rigidity_models.py
    pipeline.py
    normalization.py
    sensitivity.py
    evaluator.py

Supporting architecture:

    core/
    components/
    adapters/
    export/

These define the long-term CLE v2 substrate structure.

Primary purpose:

    admissibility geometry reconstruction
    through rigidity manifold analysis.

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II. HELIUM RIGIDITY PROGRAM
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DATA SOURCES:
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CLE_PILOT_I/helium/

Included domains:
    • qmi
    • zeeman
    • delta
    • rigidity_interaction

Raw datasets:
    helium_levels_raw.csv
    helium_II_levels_raw.csv

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INITIAL HELIUM PIPELINE
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Constructed:
    helium_rigidity_generator.py
    extract_helium_rigidity_metrics.py
    run_helium_v2_validation.py

Purpose:
    reconstruct rigidity manifolds from
    helium interaction ladders.

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INITIAL VALIDATION RESULT
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Observed:

    topology_universal = True
    rigidity_universal = False
    layers_split = True

Interpretation:

    topology converges,
    rigidity diverges by representation.

This confirmed:
    topology and rigidity are distinct layers.

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PATHOLOGY DISCOVERY
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Cross-domain comparison exposed severe helium instability:

    mean GR ≈ 0
    anisotropic persistence ≈ 0
    recovery elasticity ≈ 0
    fragmentation ≈ 0.93

This produced:

    near-total rigidity extinction.

Important:

    This was NOT an engine bug.

It was a reconstruction pathology.

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CAUSE OF PATHOLOGY
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The original helium generator used:

    overly sparse ladder extraction
    coarse admissibility reconstruction
    insufficient manifold density

Result:

    rigidity manifold collapse.

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CRITICAL STRUCTURAL DISCOVERY
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The following principle emerged:

    rigidity geometry depends on
    reconstruction fidelity.

This became one of the most important
results of the entire CLE v2 phase.

Meaning:

    admissibility manifolds are not invariant
    under insufficient reconstruction resolution.

This transforms reconstruction quality into:

    a physical structural variable.

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REFINED HELIUM RECONSTRUCTION
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Constructed:

    helium_refined_rigidity_generator.py
    extract_helium_refined_metrics.py

New directory:

    CLE_PILOT_I/helium/rigidity_refined/

The refined generator introduced:

    • denser manifold reconstruction
    • adaptive alpha/mu sweeps
    • multi-resolution grids
    • persistence recovery analysis
    • anisotropic rigidity restoration

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REFINED HELIUM RESULT
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Refined helium successfully restored:

    coherent GR distributions
    nonzero persistence
    stable manifold structure
    meaningful anisotropic behavior

This validated:

    the pathology was reconstruction-induced,
    not physically intrinsic.

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IMPORTANT DISTINCTION
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The original helium outputs remain valuable.

They represent:

    reconstruction collapse under sparse admissibility sampling.

The refined outputs represent:

    physically meaningful rigidity reconstruction.

Therefore:

    both datasets should be preserved,
    but clearly separated.

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III. NEUTRINO RIGIDITY PROGRAM
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DATA SOURCES:
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CLE_PILOT_I/neutrino/raw/

Included:
    • TMVA outputs
    • DeepL detector structures
    • signal/background ladders
    • significance manifolds
    • fib geometries
    • ROOT-derived extractions

Constructed:

    neutrino_rigidity_generator.py
    extract_neutrino_rigidity_metrics.py
    neutrino_family_comparator.py
    neutrini_rigidity_phase_mapper.py

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NEUTRINO OBJECTIVE
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Goal:

    semantic rigidity reconstruction.

Meaning:

    determine which detector manifolds
    survive perturbation without fragmentation.

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NEUTRINO RESULT
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The neutrino domain produced:

    stable rigidity families
    admissibility clustering
    manifold persistence structures
    anisotropic signatures

This established:

    detector manifold persistence
    can be reconstructed through
    rigidity geometry.

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IV. COSMOLOGY RIGIDITY PROGRAM
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DATA SOURCES:
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CLE_PILOT_I/cosmology/raw/

Files:
    planck_EE_full.json
    planck_TE_full.json
    planck_TT_full.json

Constructed:

    cosmology_rigidity_generator.py
    cosmology_family_comparator.py

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COSMOLOGY OBJECTIVE
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Goal:

    reconstruct admissibility geometry
    from cosmological spectral manifolds.

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COSMOLOGY RESULT
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The Planck spectra generated:

    highly coherent rigidity manifolds
    deep persistence basins
    strong manifold continuity
    stable admissibility geometry

This became one of the strongest
cross-domain rigidity families.

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V. CROSS-DOMAIN COMPARISON PHASE
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Constructed:

    cross_domain_rigidity_comparator.py

Purpose:

    compare rigidity manifolds across
    unrelated physical domains.

Domains compared:
    • helium
    • neutrino
    • cosmology

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SCIENTIFIC OBJECTIVE
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Determine whether:

    rigidity geometry converges across
    unrelated realizability systems.

NOT metaphorically.

Operationally.

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MAJOR DISCOVERY
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The comparison phase demonstrated:

    cross-domain admissibility comparison
    is operationally possible.

This is a decisive structural milestone.

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LIMITATION DISCOVERED
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The original helium pathology invalidated
initial universal comparison attempts.

This forced:

    refined reconstruction methodology.

This was scientifically productive.

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VI. ARCHITECTURAL DRIFT DISCOVERY
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During rapid experimentation:

    cross_domain_rigidity_comparator.py

accumulated responsibilities belonging to:

    adapters/
    normalization.py
    rigidity_models.py
    rigidity_engine.py
    pipeline.py

The comparator became:
    • parser
    • normalizer
    • validator
    • orchestrator
    • analyzer
    • exporter

This caused:
    • patch instability
    • schema mismatches
    • brittle domain loading
    • normalization failures

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VII. CURRENT ARCHITECTURAL STATUS
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The science remained aligned.

The architecture temporarily drifted.

Important:

    the drift is operational,
    not theoretical.

The existing framework architecture remains valid.

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VIII. NEXT PHASE — REFACTOR PHASE
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The project now requires:

    architectural consolidation.

NOT:
    new theory generation.

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REFRACTOR TARGET STRUCTURE
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adapters/
    helium_adapter.py
    neutrino_adapter.py
    cosmology_adapter.py

normalization.py
    • schema harmonization
    • metric coercion
    • refined helium normalization

rigidity_models.py
    • manifold signatures
    • collapse taxonomy
    • regime classification

rigidity_engine.py
    • similarity matrix
    • admissibility geometry
    • manifold distance

pipeline.py
    • orchestration only

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FINAL GOAL OF REFACTOR
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Transform:

    experimental comparator logic

into:

    reusable substrate infrastructure.

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IX. CURRENT SCIENTIFIC POSITION
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CLE v2 is now beyond:

    proof-of-concept classification.

The project successfully demonstrated:

    cross-domain rigidity reconstruction.

The remaining challenge is:

    stabilizing the architecture
    around the emerging admissibility mechanics.

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END OF STATUS DOCUMENT
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