docs: add complete Belgium PyTorch training roadmap
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## 2026-07-26 - Complete Belgium PyTorch training roadmap
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- Added `docs/PYTORCH_TRAINING_ROADMAP_BELGIUM.md` as the executable programme board.
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- Defined the target model portfolio, national dataset strata, authority bindings, spatially isolated train/validation/calibration/test splits, nine work packages, promotion/rollback gates, GPU scheduling, artefact layout and the evidence-based definition of `fully trained`.
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- Kept official GIS measurements outside neural training and made the current critical path explicit: regional orthophoto acquisition, label normalization and a frozen Belgium building corpus precede further full training.
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## 2026-07-26 - PyTorch programme clarification and training hardening
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- Clarified that PyTorch governs trainable imagery models and does not replace authoritative terrain, flood, land-use, road, water or change analyses.
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