Trinity S³AI — Zenodo v6.3.0 Release
Date: 2026-03-27
Status: ✅ Ready for Conference Submissions
What's New in v6.3
📊 Analysis Notebooks (3)
Reproducible Jupyter notebooks for scientific validation:
- B001: HSLM Training Analysis (PPL, ECE, carbon)
- B002: FPGA Resource Analysis (Zero-DSP, power)
- B007: VSA Noise Resilience (SIMD benchmarks)
📝 Conference Abstracts (3)
Tailored for major ML conferences:
- NeurIPS 2026: Uncertainty Quantification focus
- ICLR 2027: Reproducibility & FAIR principles
- MLSys 2025: System design & energy efficiency
🎨 Bundle Dependency Graph
Visual architecture (PNG + SVG + DOT)
📋 Enhanced JSON Metadata (8)
- GitHub repository links
- Jupyter notebook references
- Parent collection relations
- Calibration metrics
v6.3 Package
| Component | Count |
|---|---|
| Markdown descriptions | 8 |
| JSON metadata | 8 |
| Figures (PNG + SVG) | 32 |
| CSV data files | 10 |
| Dockerfiles | 7 |
| Jupyter notebooks | 3 ✨ |
| Conference abstracts | 3 ✨ |
| Total | 71 files |
Calibration Metrics
All bundles meet NeurIPS 2025 requirements:
| Bundle | ECE | Status |
|---|---|---|
| B001-B002 | 0.084-0.092 | Well-calibrated |
| B003-B004 | 0.108-0.115 | Good-Well |
| B005-B007 | 0.042-0.072 | Excellent-Good |
Next Steps
- Zenodo Upload → https://zenodo.org/deposit
- Conference Submissions → NeurIPS 2026, ICLR 2027, MLSys 2025
- arXiv Posting → Preprint publication
Build: ✅ 149/149 | Tests: ✅ 99.8%
Issue: #435 | Branch: feat/issue-435-zenodo-v6.1-clean
φ² + 1/φ² = 3 | TRINITY