/acr-vault/08-results/sif-compression/readme
README
SIF Compression Results
Section titled “SIF Compression Results”Experiment Cluster: 02-EXPERIMENTS/SIF-COMPRESSION/
EXP-011: SIF Baseline Fidelity
Section titled “EXP-011: SIF Baseline Fidelity”Status: ⏳ Ready for Result Consolidation
Expected Results:
exp-011-compression-ratios.json- 100:1 compression validationexp-011-semantic-fidelity.csv- Information preservation metricsexp-011-language-boundaries.json- Cross-language reasoning results
Key Metrics to Capture:
- Compression ratio achieved
- Semantic fidelity retention percentage
- Language boundary crossing success rate
- AGL effectiveness measurements
Related Experiments:
- Ada-Logs integration (100:1 log compression)
- Production deployment outcomes
EXP-011D: Metacognitive Priming
Section titled “EXP-011D: Metacognitive Priming”Status: ⏳ Ready for Result Consolidation
Expected Results:
exp-011d-priming-effectiveness.json- Quality improvements from primingexp-011d-activation-patterns.csv- Meta-level reasoning metricsexp-011d-comparison-analysis.md- Primed vs non-primed performance
Key Metrics to Capture:
- Reasoning quality improvement percentage
- Activation pattern efficiency
- Compression ratio in primed mode
- Cross-context applicability
Consolidation Notes
Section titled “Consolidation Notes”Both SIF experiments share:
- Semantic Interchange Format foundation
- Universal notation properties
- Production integration pathway (ada-logs)
Results would benefit from:
- Comparative analysis (baseline vs optimized compression)
- Performance benchmarks
- Real-world integration outcomes
Ready to implement when experiments are run!