V6.5-7ds cleanup: remove legacy scripts/upload_v6_3_resilient.py

V6.5-7ds cleanup: remove legacy scripts/upload_v6_2_resilient.py

V6.5-7ds cleanup: remove legacy scripts/upload_v6_1_resilient.py

V6.5-7ds cleanup: remove legacy scripts/upload_to_hf.py

V6.5-7ds cleanup: remove legacy scripts/train_v6_5_final.py

V6.5-7ds cleanup: remove legacy scripts/train_v6_5.py

V6.5-7ds cleanup: remove legacy scripts/train_v6_progressive.py

V6.5-7ds cleanup: remove legacy scripts/train_v6_3.py

V6.5-7ds cleanup: remove legacy scripts/train_v6_2.py

V6.5-7ds cleanup: remove legacy scripts/train_v6_1.py

V6.5-7ds cleanup: remove legacy scripts/train_v2.py

V6.5-7ds cleanup: remove legacy scripts/train_fast.py

V6.5-7ds cleanup: remove legacy scripts/train.py

V6.5-7ds cleanup: remove legacy scripts/smoke_test.py

V6.5-7ds cleanup: remove legacy scripts/parse_v6_log.py

V6.5-7ds: 7 datasets streaming (1400 samples, 112 steps), 864 neurons, SmoothQuant W8A8 (err=0.022), MTP K=6, tool_coordinator workers reactivated, 10/10 verification PASS, reasoning GOOD, removed legacy v3/v4/v5/v6_1/v6_2/v6_3/v6_progressive files + old v6_5_* reports/scripts

V6.5-final: removed pre-V6.4 modules/scripts, moved kohonen_learning_system up, activated VQ-VAE-2 in pipeline, integrated reasoning_engine, benchmarked EWC+W8A8 dequant, exhausted 6 datasets

V6.5: 1000 samples (500+500), MTP val+entropy, EWC+W8A8 eval investigation, integrate gru-ring modules

V6.4: refactored Kohonen SOM 4D (canonical user code, pgvector_lookup REMOVED)

V6.3: refactored Kohonen Learning System (user code) + xeon_runtime + streaming + bug fix find_bmu

V6.2: HypT pgvector_lookup before punishment + BATCH_SIZE=16 + 5 datasets x 50

V6.1: PGVector-like lookup + EWC math upgrade + 5 datasets x 10 samples

V6+: add scripts/parse_v6_log.py

V6+: add scripts/train_v6_progressive.py

V6+: add xeon_runtime.py with IPEX/AMX/AVX512 + FP16/BF16 benchmark

V2: 12.97M params, HW optimizer, parallel BBPE, DPO, reasoning, inference, 10 bugs fixed

Delete scripts/smoke_test.py

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