umcp 1.4.7

Universal Measurement Contract Protocol (UMCP): Production-grade contract-first validation framework with GCD and RCFT. Core Axiom: What Returns Through Collapse Is Real. Features bidirectional cross-references, closure registries, and full reproducibility.

UMCP: Universal Measurement Contract Protocol

UMCP transforms computational experiments into auditable artifacts based on a foundational principle:

Core Axiom: "What Returns Through Collapse Is Real"

Reality is defined by what persists through collapse-reconstruction cycles. Only measurements that return—that survive transformation and can be reproduced—receive credit as real, valid observations.

# Encoded in every UMCP contract
typed_censoring:
  no_return_no_credit: true

UMCP is a production-grade system for creating, validating, and sharing reproducible computational workflows. It enforces mathematical contracts, tracks provenance, generates cryptographic receipts, and validates results against frozen specifications.

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📊 Quick Start (5 Minutes)

Prerequisites

• Python 3.11+ (3.12+ recommended)
• pip (Python package installer)
• git (version control)

Installation

# 1. Clone the repository
git clone https://github.com/calebpruett927/UMCP-Metadata-Runnable-Code.git
cd UMCP-Metadata-Runnable-Code

# 2. Create and activate virtual environment
python3 -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# 3. Install production dependencies (includes numpy, scipy, pyyaml, jsonschema)
pip install -e ".[production]"

Optional installations:

# Install test dependencies (adds pytest, coverage tools)
pip install -e ".[test]"

# Install planned communication extensions (when implemented)
# pip install -e ".[api]"          # HTTP API (not yet implemented)
# pip install -e ".[viz]"          # Web UI (not yet implemented)
# pip install -e ".[communications]"  # All communication (not yet implemented)

# Install everything (production + test + future extensions)
pip install -e ".[all]"

Verify Installation

# System health check (should show HEALTHY status)
umcp health

# Run test suite (should show 344 tests passing)
pytest

# Quick validation test
umcp validate casepacks/hello_world

# Check installed version
python -c "import umcp; print(f'UMCP v{umcp.__version__}')"

Python API:

import umcp

# Validate a casepack
result = umcp.validate("casepacks/hello_world")

if result:  # Returns True if CONFORMANT
    print("✓ CONFORMANT")
    print(f"Errors: {result.error_count}, Warnings: {result.warning_count}")
else:
    print("✗ NONCONFORMANT")
    for error in result.errors:
        print(f"  - {error}")

Expected output:

Status: HEALTHY
Schemas: 11
344 passed in ~13s

Launch Interactive Tools

# Visualization dashboard (port 8501)
umcp-visualize

# REST API server (port 8000)
umcp-api

# List extensions
umcp-ext list

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🎯 What is UMCP?

UMCP is a measurement discipline for computational claims. It requires that every serious claim be published as a reproducible record (a row) with:

• ✅ Declared inputs (raw measurements)
• ✅ Frozen rules (mathematical contracts)
• ✅ Computed outputs (invariants, closures)
• ✅ Cryptographic receipts (SHA256 verification)

Operational Terms

Core Invariants (Tier-1: GCD Framework):

Symbol	Name	Definition	Range	Purpose
ω	Drift	ω = 1 - F	[0,1]	Collapse proximity
F	Fidelity	F = Σ wᵢ·cᵢ	[0,1]	Weighted coherence
S	Entropy	S = -Σ wᵢ[cᵢ ln(cᵢ) + (1-cᵢ)ln(1-cᵢ)]	≥0	Disorder measure
C	Curvature	C = stddev(cᵢ)/0.5	[0,1]	Instability proxy
κ	Log-integrity	κ = Σ wᵢ ln(cᵢ,ε)	≤0	Composite stability
IC	Integrity	IC = exp(κ)	(0,1]	System stability
τ_R	Return time	Re-entry delay to domain Dθ	ℕ∪{∞}	Recovery measure

Extended Metrics (Tier-2: RCFT Framework):

Symbol	Name	Range	Purpose
Dꜰ	Fractal dimension	[1,3]	Trajectory complexity
Ψᵣ	Recursive field	≥0	Self-referential strength
B	Basin strength	[0,1]	Attractor robustness

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🏗️ System Architecture

┌─────────────────────────────────────────────────────────────┐
│                     UMCP WORKFLOW                           │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  1. INPUT                                                   │
│     └─ raw_measurements.csv  (experimental data)            │
│                                                             │
│  2. INVARIANTS COMPUTATION                                  │
│     ├─ ω (drift)         ├─ F (fidelity)                    │
│     ├─ S (entropy)       └─ C (curvature)                   │
│                                                             │
│  3. FRAMEWORK SELECTION                                     │
│     ┌─────────────────┐      ┌──────────────────┐          │
│     │ GCD (Tier-1)    │  OR  │ RCFT (Tier-2)    │          │
│     ├─────────────────┤      ├──────────────────┤          │
│     │ • Energy (E)    │      │ • Fractal (Dꜰ)   │          │
│     │ • Collapse (Φ)  │      │ • Recursive (Ψᵣ) │          │
│     │ • Flux (Φ_gen)  │      │ • Pattern (λ, Θ) │          │
│     │ • Resonance (R) │      │ + all GCD        │          │
│     └─────────────────┘      └──────────────────┘          │
│                                                             │
│  4. VALIDATION                                              │
│     ├─ Contract conformance (schema validation)             │
│     ├─ Regime classification (Stable/Collapse/Watch)        │
│     ├─ Mathematical identities (F = 1-ω, IC ≈ exp(κ))       │
│     └─ Tolerance checks (within tol_seam, tol_id)           │
│                                                             │
│  5. OUTPUT                                                  │
│     ├─ invariants.json (computed metrics)                   │
│     ├─ closure_results.json (GCD/RCFT outputs)              │
│     ├─ seam_receipt.json (validation status + SHA256)       │
│     └─ CONFORMANT or NONCONFORMANT status                   │
│                                                             │
└─────────────────────────────────────────────────────────────┘

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📦 Framework Selection Guide

GCD (Generative Collapse Dynamics) - Tier-1

Best for: Energy/collapse analysis, phase transitions, basic regime classification

Closures (4):

• energy_potential: Total system energy
• entropic_collapse: Collapse potential
• generative_flux: Generative flux
• field_resonance: Boundary-interior resonance

Example:

umcp validate casepacks/gcd_complete

RCFT (Recursive Collapse Field Theory) - Tier-2

Best for: Trajectory complexity, memory effects, oscillatory patterns, multi-scale analysis

Closures (7 = 4 GCD + 3 RCFT):

• All GCD closures +
• fractal_dimension: Trajectory complexity (Dꜰ ∈ [1,3])
• recursive_field: Collapse memory (Ψᵣ ≥ 0)
• resonance_pattern: Oscillation detection (λ, Θ)

Example:

umcp validate casepacks/rcft_complete

Decision Matrix

Need	Framework	Why
Basic energy/collapse	GCD	Simpler, faster, foundational
Trajectory complexity	RCFT	Box-counting fractal dimension
History/memory	RCFT	Exponential decay field
Oscillation detection	RCFT	FFT-based pattern analysis
Maximum insight	RCFT	All GCD metrics + 3 new

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🔌 Built-In Features

UMCP includes two core features that enhance validation without requiring external dependencies:

1. Continuous Ledger (Automatic)

No install needed - built into core

# Automatically logs every validation run
cat ledger/return_log.csv

Purpose: Provides complete audit trail of all validations

• Timestamp (ISO 8601 UTC)
• Run status (CONFORMANT/NONCONFORMANT)
• Key invariants (ω, C, stiffness)
• Enables trend analysis and historical review

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🚀 Future Communication Extensions

The following communication extensions are planned for future implementation:

• Contract Auto-Formatter (Entry point: umcp-format - not yet implemented)
• REST API (HTTP/JSON interface for remote validation)
• Web Dashboard (Interactive visualization with Streamlit)

These would provide standard protocol interfaces but are not required for core validation.

📖 See: EXTENSION_INTEGRATION.md | QUICKSTART_EXTENSIONS.md

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⚡ Performance

UMCP validation is optimized for production use:

Typical Validation Times:

• Small casepack (hello_world): ~5-10ms
• Medium casepack (GCD complete): ~15-30ms
• Large casepack (RCFT complete): ~30-50ms
• Full repository validation: ~100-200ms

Overhead vs. Basic Validation:

• Speed: +71% slower than basic schema validation
• Value: Contract conformance, closure verification, semantic rules, provenance tracking
• Memory: <100MB for typical workloads

Benchmark Results (from benchmark_umcp_vs_standard.py):

UMCP Validator:
  Mean: 9.4ms per validation
  Median: 6.5ms
  Accuracy: 100% (400/400 errors caught, 0 false positives)
  
Additional Features:
  ✓ Cryptographic receipts (SHA256)
  ✓ Git commit tracking
  ✓ Contract conformance
  ✓ Closure verification
  ✓ Full audit trail

Scaling: Validated on datasets with 1000+ validation runs. Ledger handles millions of entries efficiently (O(1) append).

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Overhead vs. Basic Validation:

• Speed: +71% slower than basic schema validation
• Value: Contract conformance, closure verification, semantic rules, provenance tracking
• Memory: <100MB for typical workloads

Benchmark Results (from benchmark_umcp_vs_standard.py):

UMCP Validator:
  Mean: 9.4ms per validation
  Median: 6.5ms
  Accuracy: 100% (400/400 errors caught, 0 false positives)
  
Additional Features:
  ✓ Cryptographic receipts (SHA256)
  ✓ Git commit tracking
  ✓ Contract conformance
  ✓ Closure verification
  ✓ Full audit trail

Scaling: Validated on datasets with 1000+ validation runs. Ledger handles millions of entries efficiently (O(1) append).

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📚 Documentation

Core Protocol

• AXIOM.md — Core axiom: "What returns is real"
• INFRASTRUCTURE_GEOMETRY.md — Three-layer geometric architecture (state space, projections, seam graph)
• TIER_SYSTEM.md — Tier-0/1/1.5/2 boundaries, freeze gates
• RETURN_BASED_CANONIZATION.md — How Tier-2 results become Tier-1 canon
• KERNEL_SPECIFICATION.md — Formal definitions (19 lemmas)
• PUBLICATION_INFRASTRUCTURE.md — Publication standards
• CASEPACK_REFERENCE.md — CasePack structure

Indexing & Reference

• GLOSSARY.md — Authoritative term definitions
• SYMBOL_INDEX.md — Symbol table (collision prevention)
• TERM_INDEX.md — Alphabetical cross-reference

Framework Documentation

• GCD Theory — Tier-1 specification
• RCFT Theory — Tier-2 mathematical foundations
• RCFT Usage — Practical examples

Governance

• UHMP.md — Universal Hash Manifest Protocol
• FACE_POLICY.md — Boundary governance
• PROTOCOL_REFERENCE.md — Master navigation

Developer Guides

• Quickstart — Get started in 10 minutes
• Python Standards — Development guidelines
• Production Deployment — Enterprise setup
• PyPI Publishing — Release workflow

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📂 Repository Structure

UMCP-Metadata-Runnable-Code/
├── src/umcp/              # All Python code (API, CLI, extensions)
├── tests/                 # Test suite (344 tests)
├── scripts/               # Utility scripts
├── contracts/             # Frozen contracts (GCD, RCFT)
├── closures/              # Computational functions (7 closures)
│   ├── gcd/              # 4 GCD closures
│   └── rcft/             # 3 RCFT closures
├── casepacks/             # Reproducible examples
│   ├── hello_world/      # Zero entropy example
│   ├── gcd_complete/     # GCD validation
│   └── rcft_complete/    # RCFT validation
├── schemas/               # JSON schemas
├── canon/                 # Canonical anchors
├── ledger/                # Validation log (continuous append)
├── integrity/             # Integrity metadata (SHA256)
├── docs/                  # Documentation
└── pyproject.toml         # Project configuration (v1.4.0)

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🧪 Testing

# All tests (344 total)
pytest

# Verbose output
pytest -v

# Specific framework
pytest -k "gcd"    # GCD tests
pytest -k "rcft"   # RCFT tests

# Coverage report
pytest --cov

# Fast subset
pytest tests/test_00_schemas_valid.py

Test Structure: 344 tests = 142 original + 56 RCFT + 146 integration/coverage

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🚀 Production Features

• ✅ 344 tests passing (100% success rate)
• ✅ Health checks: umcp health for system monitoring
• ✅ Structured logging: JSON output for ELK/Splunk/CloudWatch
• ✅ Performance metrics: Duration, memory, CPU tracking
• ✅ Container ready: Docker + Kubernetes support
• ✅ Cryptographic receipts: SHA256 verification
• ✅ Zero technical debt: No TODO/FIXME/HACK markers
• ✅ <5s validation: Fast for typical repositories

📖 See: Production Deployment Guide

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🔒 Integrity & Automation

# Verify file integrity
sha256sum -c integrity/sha256.txt

# Update after changes
python scripts/update_integrity.py

# Check merge status
./scripts/check_merge_status.sh

Automated:

• ✅ 344 tests on every commit (CI/CD)
• ✅ Code formatting (ruff, black)
• ✅ Type checking (mypy)
• ✅ SHA256 tracking (12 files)

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📊 What's New in v1.4.0

Complete Protocol Infrastructure:

• ✅ 8 major protocol documents (~5,500 lines)
• ✅ Formal specification (19 lemmas, kernel definitions)
• ✅ Publication standards (CasePack structure)
• ✅ 344 tests passing (GCD + RCFT frameworks)
• ✅ Production ready (manuscript-aligned)

📖 See: CHANGELOG.md | IMMUTABLE_RELEASE.md

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🤝 Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/name)
3. Add tests for new functionality
4. Ensure all tests pass (pytest)
5. Validate code quality (ruff check, mypy)
6. Commit changes (git commit -m 'feat: Description')
7. Push to branch (git push origin feature/name)
8. Open Pull Request

📖 See: Python Coding Standards | CONTRIBUTING.md

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📄 License

MIT License - see LICENSE for details.

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📞 Support & Resources

• Issues: GitHub Issues
• Documentation: docs/
• Examples: casepacks/
• Immutable Release: IMMUTABLE_RELEASE.md

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🏆 System Status

╔═══════════════════════════════════════════════════════════╗
║           UMCP PRODUCTION SYSTEM STATUS                   ║
╚═══════════════════════════════════════════════════════════╝

  🎯 Core Axiom:   "What Returns Through Collapse Is Real"
  🔐 Canon:        UMCP.CANON.v1
  📜 Contract:     UMA.INTSTACK.v1
  📚 DOI:          10.5281/zenodo.17756705 (PRE)
                   10.5281/zenodo.18072852 (POST)
                   10.5281/zenodo.18226878 (PACK)
  
  ⚙️  Tier-1:      p=3  α=1.0  λ=0.2  η=0.001
  🎯 Regimes:      Stable: ω<0.038  F>0.90
                   Collapse: ω≥0.30
  
  📊 Status:       CONFORMANT ✅
  🧪 Tests:        344 passing
  📦 Casepacks:    3 validated
  🔒 Integrity:    12 files checksummed

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
     "No improvisation. Contract-first. Tier-1 reserved."
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

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🎓 Citation

Framework: UMCP (Universal Measurement Contract Protocol)
Author: Clement Paulus
Version: 1.4.0
Release: January 23, 2026
Tests: 344 passing
Integrity: SHA256 verified

Frameworks:

• Tier-1: GCD (Generative Collapse Dynamics) - 4 closures
• Tier-2: RCFT (Recursive Collapse Field Theory) - 7 closures

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"What Returns Through Collapse Is Real"