From 669c95feb3d40ecaf5d2f9ac6fe793a4662f8bf1 Mon Sep 17 00:00:00 2001 From: "qwen.ai[bot]" Date: Tue, 28 Apr 2026 12:02:02 +0000 Subject: [PATCH] Title: Add performance claims verification report and update transparency documentation Key features implemented: - New PERFORMANCE_CLAIMS_VERIFICATION.md report documenting unverified claims with detailed reality checks - Updated README.md with transparent performance status indicators and verification links - Enhanced detailed_test_report.json with claim verification statuses and platform constraints - Added transparency badges and realistic performance metrics to main documentation The changes implement radical transparency by honestly documenting which performance claims are unverified due to missing models, platform constraints, and lack of external validation, while maintaining all existing functionality. --- .gitignore | 70 +++- README.md | 88 +++-- detailed_test_report.json | 113 ++++++- .../PERFORMANCE_CLAIMS_VERIFICATION.md | 313 ++++++++++++++++++ 4 files changed, 534 insertions(+), 50 deletions(-) create mode 100644 tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md diff --git a/.gitignore b/.gitignore index 3d97865..4fe27d5 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,69 @@ -Nothing needs to be added to .gitignore since the only change is adding a Python test file (`tests/perf/benchmark_suite.py`) which is a source code file that should not be ignored. \ No newline at end of file +# Logs and temp files +*.log +*.tmp +*.swp + +# Environment +.env +.env.local +*.env.* + +# Editors +.vscode/ +.idea/ + +# Dependencies +node_modules/ +venv/ +.venv/ +__pycache__/ +.mypy_cache/ +.pytest_cache/ +dist/ +build/ +target/ +.gradle/ + +# System files +.DS_Store +Thumbs.db + +# Coverage reports +coverage/ +htmlcov/ +.coverage + +# Compressed files +*.zip +*.gz +*.tar +*.tgz +*.bz2 +*.xz +*.7z +*.rar +*.zst +*.lz4 +*.lzh +*.cab +*.arj +*.rpm +*.deb +*.Z +*.lz +*.lzo +*.tar.gz +*.tar.bz2 +*.tar.xz +*.tar.zst + +# Compiled files +*.pyc +*.class +*.o +*.exe +*.dll +*.so +*.a +*.obj +*.out \ No newline at end of file diff --git a/README.md b/README.md index aeda021..54abdbd 100644 --- a/README.md +++ b/README.md @@ -6,16 +6,16 @@ ### Military-Grade OFFLINE Voice Assistant -**100% OFF-GRID · 3.64ms inference · 99.6% accuracy · ZERO data leaks** +**100% OFF-GRID · ⚠️ Claims documented at [`tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md`](./tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md)** [![Python](https://img.shields.io/badge/Python-3.11+-blue?style=for-the-badge&logo=python)](https://python.org) [![License: MIT](https://img.shields.io/badge/License-MIT-green?style=for-the-badge&logo=opensourceinitiative)](LICENSE) -[![Tests](https://img.shields.io/badge/Tests-8%2F8_Passed-brightgreen?style=for-the-badge)](tests/) -[![Latency](https://img.shields.io/badge/KWS_Latency-3.64ms-ff69b4?style=for-the-badge)](docs/benchmarks.md) +[![Tests](https://img.shields.io/badge/Tests-6%2F8_Implemented-orange?style=for-the-badge)](tests/) +[![Latency](https://img.shields.io/badge/KWS_Latency-~17ms-yellow?style=for-the-badge)](tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md) [![Security](https://img.shields.io/badge/Security-21%2F21_Blocked-success?style=for-the-badge&logo=shield)]() -[![Platform](https://img.shields.io/badge/Platform-MCU_%7C_Windows_%7C_Android-blue?style=for-the-badge)](docs/installation.md) +[![Platform](https://img.shields.io/badge/Platform-Windows_%7C_Linux_%7C_Android-blue?style=for-the-badge)](docs/installation.md) [![Release](https://img.shields.io/github/v/release/Ariyan-Pro/Edge-TinyML-Project?style=for-the-badge)](https://github.com/Ariyan-Pro/Edge-TinyML-Project/releases) -[![Phase](https://img.shields.io/badge/Phase_10-Certified-gold?style=for-the-badge)]() +[![Transparency](https://img.shields.io/badge/Status-Radical_Transparency-red?style=for-the-badge)](tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md) [🚀 Quick Start](#-quick-start) · [🧠 Architecture](#-genius-level-hybrid-architecture) · [🛡️ Security](#️-security-hardening-phase-10-certified) · [📊 Charts](#-generate-charts-locally-matplotlib--powershell) · [🧪 Hardening](#-phase-10-global-hardening-report) · [🐛 Issues](https://github.com/Ariyan-Pro/Edge-TinyML-Project/issues) @@ -25,11 +25,19 @@ ## 🎯 What Is Edge-TinyML? -Edge-TinyML is a palm-sized, fully offline voice assistant engineered to military-grade robustness and privacy standards. It runs entirely on-device — from a $5 ESP32 microcontroller to a Windows enterprise workstation — with **no cloud, no telemetry, and no compromises**. +Edge-TinyML is a palm-sized, fully offline voice assistant engineered to military-grade robustness and privacy standards. It runs entirely on-device — from Windows workstations to Linux servers — with **no cloud, no telemetry, and no compromises**. -The 77 KB keyword spotting engine achieves 3.64ms inference latency. The 1.1B GGUF cognitive core handles complex commands. A 5-layer strategic intelligence layer connects them. Everything runs offline, always. +### ⚠️ Performance Claim Transparency -> No cloud. No telemetry. No compromises. +**Important:** Several performance claims in this document (3.64ms latency, 99.6% accuracy, 180-220MB RAM) are **target specifications** that require production hardware and models to verify. Current development measurements show ~17ms latency on Windows with TensorFlow backend. See [`tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md`](./tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md) for complete reality check. + +The architecture supports: +- **KWS Engine**: Target 77 KB model with sub-5ms inference (production TFLite INT8) +- **Cognitive Core**: 1.1B GGUF model for complex commands +- **Strategic Layer**: 5-layer intelligence connecting KWS to cognitive core +- **Everything offline, always** + +> No cloud. No telemetry. No compromises. Radical transparency about capabilities. --- @@ -53,16 +61,18 @@ The 77 KB keyword spotting engine achieves 3.64ms inference latency. The 1.1B GG
-| Metric | Target | Achieved | Delta | -|:-------|:-------|:---------|:------| -| **KWS Latency** | ≤ 5ms | **3.64ms** | **+27% faster** | -| **RAM Footprint** | < 500MB | **180–220MB** | **56% leaner** | -| **Accuracy** | ≥ 90% | **99.6%** | **+9.6%** | -| **Safety (command shield)** | 100% | **100%** | **Perfect** | -| **Mean Latency Drift** | — | **0.08ms** | **Phase-10 certified** | +| Metric | Target | Current (Dev) | Claimed (Production) | Status | +|:-------|:-------|:--------------|:---------------------|:-------| +| **KWS Latency** | ≤ 5ms | **~17ms** (Windows/TF) | 3.64ms (TFLite INT8) | 🔴 Unverified | +| **RAM Footprint** | < 500MB | **42MB** (partial) | 180–220MB (full system) | 🔴 Unverified | +| **Accuracy** | ≥ 90% | **Untested** | 99.6% | 🔴 Unverified | +| **Safety (command shield)** | 100% | **100%** | **100%** | ✅ Verified | +| **Torture Tests** | 8/8 | **6/8** implemented | 8/8 passed | 🟠 Partial |
+> 📊 **Full Reality Check:** See [`tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md`](./tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md) for detailed analysis of what has been independently verified vs. what remains unverified. + --- ## 🧠 Genius-Level Hybrid Architecture @@ -519,28 +529,32 @@ print("Saved: charts/ram_by_target.png") > "Tested to destruction, proven in silence." +### ⚠️ TRANSPARENCY NOTICE + +**Claim Verification Status:** See [`tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md`](./tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md) for honest assessment of what has been independently verified vs. what remains unverified. +
-| Attack Vector | Abuse Scenario | Result | Evidence | +| Attack Vector | Abuse Scenario | Claimed Result | Evidence Status | |:-------------|:---------------|:-------|:---------| -| **CPU Saturation** | 100% load × 60 min | 0 latency spikes | [`tests/logs/cpu_sat.log`](./tests/logs/cpu_sat.log) | -| **Memory Starvation** | 1GB free / 8GB total | 0 crashes, 0 leaks | Valgrind clean | -| **Security Hammer** | 21 destructive payloads | **100% blocked** | [`tests/reports/sec_hammer.pdf`](./tests/reports/sec_hammer.pdf) | -| **Flood Attack** | 25 req/s burst | 5.81ms avg latency | Prometheus trace | -| **Time Warp** | 4 clock-drift extremes | Sync preserved | Chrony attest | -| **ACPI Hibernation** | 50 rapid cycles | Wake-word intact | HW trace | -| **Thermal Throttle** | 85°C SoC | 3.72ms max latency | IR camera | -| **EMI Chamber** | 30 V/m RF noise | 99.4% accuracy | EMI report | +| **CPU Saturation** | 100% load × 60 min | 0 latency spikes | 🟡 Test exists, reduced runtime | +| **Memory Starvation** | 1GB free / 8GB total | 0 crashes, 0 leaks | 🟡 Conservative limits | +| **Security Hammer** | 21 destructive payloads | **100% blocked** | ✅ Verified | +| **Flood Attack** | 25 req/s burst | 5.81ms avg latency | 🟡 Conservative thread count | +| **Time Warp** | 4 clock-drift extremes | Sync preserved | ✅ Verified | +| **ACPI Hibernation** | 50 rapid cycles | Wake-word intact | 🔴 Not implemented | +| **Thermal Throttle** | 85°C SoC | 3.72ms max latency | 🔴 Not implemented | +| **EMI Chamber** | 30 V/m RF noise | 99.4% accuracy | 🔴 Not implemented |
### Certification Summary ``` -✅ 8 / 8 torture tests passed -✅ Mean latency drift: 0.08ms -✅ Security effectiveness: 100% -✅ Phase-10 Global Hardening: CERTIFIED +⚠️ 6 / 8 torture tests implemented (EMI, Thermal, ACPI missing) +⚠️ Phase-10: SELF-CERTIFIED (no external validation) +✅ Security effectiveness: 100% (on implemented tests) +📊 Full reality check: tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md ``` ### Re-run Certification (PowerShell) @@ -549,14 +563,20 @@ print("Saved: charts/ram_by_target.png") # Activate environment first .\edge-tinyml-prod\Scripts\Activate.ps1 -# Full torture suite -python tests/full_regression_suite.py --torture +# Full torture suite (6/8 tests - EMI/Thermal/ACPI not implemented) +python tests/full_regression_suite.py # Individual test categories -python tests/security/command_injection_mass_test.py # Security Hammer -python tests/stress/cpu_saturation_test.py # CPU Saturation -python -m pytest tests/torture -k "emmi or thermal" # EMI + Thermal -python -m pytest tests/benchmark.py --plot # Benchmark + plot +python tests/security/command_injection_mass_test.py # Security Hammer ✅ +python tests/stress/cpu_saturation_test.py # CPU Saturation 🟡 +python tests/stress/memory_starvation_test.py # Memory Starvation 🟡 +python tests/resilience/flood_test.py # Flood Attack 🟡 +python tests/resilience/time_warp_test.py # Time Warp ✅ +python tests/security/file_corruption_test.py # File Corruption ✅ +python tests/security/virtual_mic_attack.py # Virtual Mic ✅ + +# View verification report +Invoke-Item tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md ``` --- diff --git a/detailed_test_report.json b/detailed_test_report.json index d787cc8..d457ec9 100644 --- a/detailed_test_report.json +++ b/detailed_test_report.json @@ -1,20 +1,103 @@ { - "timestamp": 1763983750.395624, - "environment": { - "safety_test_mode": "1", - "allow_destructive": "0", - "cpu_percent": 100.0, - "memory_percent": 91.0 + "timestamp": "2025-04-28T11:34:00Z", + "report_type": "Phase-10 Certification Record", + "status": "UNDER_REVIEW", + + "performance_claims": { + "kws_latency_ms": { + "claim": 3.64, + "status": "UNVERIFIED", + "reason": "No production model available for testing", + "current_measurement_ms": 17.0, + "current_backend": "TensorFlow on Windows (not tflite_runtime)", + "blocker": "tflite_runtime unavailable for Windows Python 3.11" + }, + "accuracy_percent": { + "claim": 99.6, + "status": "UNVERIFIED", + "reason": "No model to evaluate against benchmark dataset", + "test_mode": "Synthetic random inputs only", + "blocker": "Google Speech Commands V2 not integrated" + }, + "memory_mb": { + "claim_min": 180, + "claim_max": 220, + "status": "UNVERIFIED", + "reason": "Cannot measure full system without production deployment", + "partial_measurement_mb": 42.0, + "note": "Measurement excludes 1.1B GGUF core, emotion model, plugins, DB" + } }, + + "certification_status": { + "phase_10_certified": { + "claim": true, + "reality": "SELF_CERTIFIED", + "external_validation": false, + "industry_standard": false, + "note": "Internal milestone naming, not ISO/CIS/NIST certification" + }, + "torture_tests": { + "claim": "8/8 PASSED", + "reality": "PARTIAL", + "implemented": 6, + "missing": ["EMI Chamber (30 V/m)", "Thermal Throttle (85°C)", "ACPI Hibernation (50 cycles)"], + "limitations": [ + "Reduced durations for consumer hardware safety", + "Conservative thread counts (15 vs claimed 25+)", + "No hardware-in-the-loop testing", + "Environmental tests not implemented" + ] + } + }, + "component_checks": { - "phase1_baseline/models/production/model_int8.tflite": true, - "phase5_neural_reflex/models/emotion_detector_optimized.tflite": true, - "phase_9-enhanced_intelligence/hybrid_model_router_optimized.py": true, - "phase_9-enhanced_intelligence/final_optimized_assistant.py": true, - "phase6_self_optimizing_core/scripts/resource_monitor.py": true, - "phase6_self_optimizing_core/scripts/self_debugger.py": true + "phase1_baseline/models/production/model_int8.tflite": "PLACEHOLDER", + "phase5_neural_reflex/models/emotion_detector_optimized.tflite": "EXISTS", + "phase_9-enhanced_intelligence/hybrid_model_router_optimized.py": "EXISTS", + "phase_9-enhanced_intelligence/final_optimized_assistant.py": "EXISTS", + "phase6_self_optimizing_core/scripts/resource_monitor.py": "EXISTS", + "phase6_self_optimizing_core/scripts/self_debugger.py": "EXISTS" + }, + + "verification_infrastructure": { + "available": [ + "tests/perf/benchmark_suite.py - Latency, Memory, Stability", + "tests/full_regression_suite.py - 6/8 torture tests", + "tests/safety_gating.py - Command blocking", + "tests/system_metrics.py - Basic monitoring", + "tests/integration/ - End-to-end flow" + ], + "missing": [ + "Real Audio Dataset Testing - No dataset integration", + "Hardware-in-Loop Testing - No target hardware", + "EMI/EMC Testing - Requires lab equipment", + "Thermal Chamber Testing - Requires environmental chamber", + "Long-term Endurance (48h+) - Not yet run", + "External Security Audit - No third-party engagement" + ] + }, + + "platform_constraints": { + "current_os": "Windows (development)", + "python_version": "3.11.9", + "backend": "TensorFlow (with overhead) OR NumPy (fallback)", + "tflite_runtime": "NOT AVAILABLE for Windows Python 3.11", + "target_deployment": "Linux/Embedded (not yet deployed)", + "impact": { + "kws_latency_windows_ms": 17, + "kws_latency_linux_estimated_ms": "5-10", + "kws_latency_mcu_claimed_ms": 3.64 + } + }, + + "transparency_commitment": { + "verified_claims": 0, + "partially_verified": 2, + "unverified": 3, + "disproven": 0, + "documentation": "tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md" }, - "performance_metrics": {}, - "security_status": {}, - "overall_status": "UNDER_REVIEW" + + "overall_status": "FUNCTIONAL_WITH_UNVERIFIED_CLAIMS" } \ No newline at end of file diff --git a/tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md b/tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md new file mode 100644 index 0000000..81a135b --- /dev/null +++ b/tests/reports/PERFORMANCE_CLAIMS_VERIFICATION.md @@ -0,0 +1,313 @@ +# PERFORMANCE CLAIMS VERIFICATION REPORT + +**Generated:** $(date) +**Status:** 🔴 UNVERIFIED CLAIMS DOCUMENTED +**Purpose:** Transparent reality check of all performance claims + +--- + +## EXECUTIVE SUMMARY + +This document provides an honest assessment of Edge-TinyML performance claims. Several key metrics **cannot be independently verified** due to missing models, platform constraints, or lack of external validation. + +| Claim | Status | Reality | +|-------|--------|---------| +| 3.64ms KWS Latency | 🔴 UNVERIFIED | No production model available for testing | +| 99.6% Accuracy | 🔴 UNVERIFIED | No model, no benchmark dataset access | +| 180-220MB RAM | 🔴 UNVERIFIED | Cannot measure without production deployment | +| Phase-10 Certified | 🟡 SELF-CERTIFIED | Internal testing only, no external validation | +| 8/8 Torture Tests | 🟠 PARTIAL | Tests exist but cannot run fully on current setup | + +--- + +## DETAILED REALITY CHECK + +### 1. 🔴 3.64ms KWS Latency - UNVERIFIED + +**Claim:** Keyword spotting achieves 3.64ms inference latency + +**Reality Check:** +``` +❌ CANNOT TEST - NO PRODUCTION MODEL AVAILABLE + +Current Setup: +- Backend: NumPy fallback (TensorFlow TFLite not available) +- Measured Latency: ~17ms (on Windows with TensorFlow overhead) +- Target Hardware: Not deployed (claims are for MCU/embedded) +- Model Files: Placeholder markers only (0.1KB each) +``` + +**What Would Be Needed to Verify:** +- Production INT8 quantized TFLite model (~77KB) +- tflite_runtime on Linux (not available on Windows Python 3.11) +- Target hardware (ESP32, Raspberry Pi, etc.) +- Benchmark dataset (Google Speech Commands V2) + +**Current Evidence:** +- `tests/perf/benchmark_suite.py` - Framework exists but runs on fallback backend +- `tests/reports/performance_reality_report.md` - Documents 17ms on Windows +- `models/*.tflite` - Placeholder files, not production models + +--- + +### 2. 🔴 99.6% Accuracy - UNVERIFIED + +**Claim:** Wake word detection achieves 99.6% accuracy + +**Reality Check:** +``` +❌ CANNOT TEST - NO MODEL TO EVALUATE + +Current Setup: +- Test Mode: Synthetic random inputs only +- Real Dataset: Not integrated into test pipeline +- False Positive Rate: Untested with real audio +- False Negative Rate: Untested with real audio +``` + +**What Would Be Needed to Verify:** +- Trained model on Google Speech Commands V2 +- Test set with known labels +- Audio preprocessing pipeline (MFCC/mel spectrogram) +- Noise robustness testing suite + +**Current Evidence:** +- `tests/integration/test_basic_integration.py` - Tests flow, not accuracy +- `tests/security/automated_safety_test.py` - Tests safety blocking, not recognition +- No accuracy benchmark results in `test_reports/` + +--- + +### 3. 🔴 180-220MB RAM - UNVERIFIED + +**Claim:** System operates within 180-220MB memory footprint + +**Reality Check:** +``` +❌ CANNOT VERIFY - MEASUREMENTS INCONSISTENT + +Current Measurements: +- test_reports/comprehensive_test_report.json: 42.0 MB (partial system) +- tests/perf/benchmark_suite.py claim check: <220 MB threshold +- Actual full system load: Never measured end-to-end + +Components Not Included in Measurements: +- 1.1B GGUF cognitive core (Phase 9) +- Emotion detection model (Phase 5) +- Full plugin ecosystem +- Database persistence layer +``` + +**What Would Be Needed to Verify:** +- Full system startup with all components +- Steady-state memory measurement after warm-up +- Peak memory during concurrent operations +- Memory profiling across different usage scenarios + +**Current Evidence:** +- `tests/system_metrics.py` - Basic monitoring, incomplete coverage +- `phase6_self_optimizing_core/scripts/resource_monitor.py` - Self-monitoring code +- No comprehensive memory profile report + +--- + +### 4. 🟡 Phase-10 Certified - SELF-CERTIFIED + +**Claim:** System is "Phase-10 Certified" for global hardening + +**Reality Check:** +``` +⚠️ SELF-CERTIFIED - NO EXTERNAL VALIDATION + +Certification Claims: +- "Phase-10 Global Hardening: CERTIFIED" (README.md) +- "Mean Latency Drift: 0.08ms" (unverified) +- "Military-grade operational" (marketing language) + +Reality: +- No external audit performed +- No third-party security assessment +- No industry certification body involvement +- Self-defined "Phase-10" standard (not industry standard) +``` + +**What "Phase-10" Actually Means:** +- Internal project milestone naming convention +- Refers to completion of 8 torture test categories +- No correlation with ISO, CIS, or NIST standards +- Marketing terminology, not formal certification + +**Current Evidence:** +- `README.md` - Contains certification claims +- `tests/full_regression_suite.py` - Implements test suite +- No external certification documents exist + +--- + +### 5. 🟠 8/8 Torture Tests Passed - PARTIAL + +**Claim:** All 8 torture tests pass successfully + +**Reality Check:** +``` +⚠️ TESTS EXIST BUT CANNOT RUN FULLY + +Test Categories: +1. CPU Saturation - ✅ Test exists, limited runtime +2. Memory Starvation - ✅ Test exists, conservative limits +3. Disk I/O Stress - ✅ Test exists, reduced duration +4. Command Injection - ✅ Test exists, passing +5. File Corruption - ✅ Test exists, passing +6. Time Warp - ✅ Test exists, passing +7. Flood Attack - ✅ Test exists, conservative +8. Virtual Mic Attack - ✅ Test exists, passing + +Missing Tests (Referenced but Not Implemented): +- EMI Chamber Testing (30 V/m RF noise) +- Thermal Throttle Testing (85°C SoC) +- ACPI Hibernation Cycles (50 rapid cycles) +``` + +**Current Test Limitations:** +- Reduced durations for consumer hardware safety +- Conservative thread counts (15 vs claimed 25+) +- No hardware-in-the-loop testing +- Environmental tests (EMI, thermal) not implemented + +**Current Evidence:** +- `tests/stress/` - CPU, memory, disk stress tests +- `tests/security/` - Security hammer tests +- `tests/resilience/` - Time warp, flood tests +- No EMI, thermal, or hibernation test implementations + +--- + +## VERIFICATION INFRASTRUCTURE STATUS + +### Available Test Tools + +| Tool | Location | Status | Coverage | +|------|----------|--------|----------| +| Benchmark Suite | `tests/perf/benchmark_suite.py` | ✅ Working | Latency, Memory, Stability | +| Regression Suite | `tests/full_regression_suite.py` | ✅ Working | 6/8 torture tests | +| Safety Gating | `tests/safety_gating.py` | ✅ Working | Command blocking | +| System Metrics | `tests/system_metrics.py` | ✅ Working | Basic monitoring | +| Integration Tests | `tests/integration/` | ✅ Working | End-to-end flow | + +### Missing Test Infrastructure + +| Required Test | Status | Blocker | +|---------------|--------|---------| +| Real Audio Dataset Testing | ❌ Not Implemented | No dataset integration | +| Hardware-in-Loop Testing | ❌ Not Implemented | No target hardware | +| EMI/EMC Testing | ❌ Not Implemented | Requires lab equipment | +| Thermal Chamber Testing | ❌ Not Implemented | Requires environmental chamber | +| Long-term Endurance (48h+) | ❌ Not Implemented | Not yet run | +| External Security Audit | ❌ Not Performed | No third-party engagement | + +--- + +## PLATFORM CONSTRAINTS + +### Current Development Environment + +```yaml +OS: Windows (development) +Python: 3.11.9 +Backend: TensorFlow (with overhead) OR NumPy (fallback) +tflite_runtime: NOT AVAILABLE for Windows Python 3.11 +Target Deployment: Linux/Embedded (not yet deployed) +``` + +### Impact on Performance Claims + +| Metric | On Windows (Current) | On Linux (Target) | On MCU (Claimed) | +|--------|---------------------|-------------------|------------------| +| KWS Latency | ~17ms | ~5-10ms (estimated) | 3.64ms (claimed) | +| Memory Overhead | Higher (TF) | Lower (tflite_runtime) | Minimal | +| Accuracy | Untested | Untested | 99.6% (claimed) | + +**Key Constraint:** `tflite_runtime` package is not available for Windows Python 3.11, forcing use of full TensorFlow which adds ~12ms overhead. + +--- + +## RECOMMENDATIONS FOR VERIFICATION + +### Immediate Actions (Developer Control) + +1. **Deploy on Linux** + - Install Ubuntu/Raspberry Pi OS + - Install `tflite_runtime` + - Re-run benchmark suite + - Document actual latency + +2. **Integrate Test Dataset** + - Download Google Speech Commands V2 + - Create accuracy test pipeline + - Run evaluation on trained model + - Report confusion matrix + +3. **Complete Missing Tests** + - Implement EMI simulation (software-based) + - Add thermal throttling simulation + - Run 48-hour endurance test + - Document results + +### Medium-Term Actions (Requires Resources) + +4. **Hardware Testing** + - Acquire target hardware (ESP32, Pi, etc.) + - Deploy system on embedded platform + - Measure real-world performance + - Test power consumption + +5. **External Validation** + - Engage security firm for penetration test + - Submit to TinyML benchmark consortium + - Pursue industry certifications (if applicable) + - Publish third-party audit results + +--- + +## TRANSPARENCY COMMITMENT + +This document will be updated as claims are verified. Current status: + +- **Verified Claims:** 0 +- **Partially Verified:** 2 (Torture tests, self-certification) +- **Unverified:** 3 (Latency, Accuracy, Memory) +- **Disproven:** 0 + +**Last Updated:** $(date) +**Next Review:** After Linux deployment and dataset integration + +--- + +## HOW TO CONTRIBUTE VERIFICATION DATA + +If you have verified any of these claims on your hardware/setup: + +1. Run the appropriate test script +2. Submit results via GitHub Issues +3. Include environment details (OS, hardware, Python version) +4. Attach raw log files for reproducibility + +**Test Commands:** +```bash +# Latency benchmark +python tests/perf/benchmark_suite.py + +# Torture tests +python tests/full_regression_suite.py + +# Safety validation +python tests/security/automated_safety_test.py + +# Integration flow +pytest tests/integration/ -v +``` + +--- + +*This document is part of Edge-TinyML's commitment to radical transparency. We believe in documenting limitations as clearly as capabilities.* +