SCPN Fusion Core v3.9.2 — QLKNN Surrogate + Benchmark Pipeline

[3.9.2] — 2026-02-27

Added — QLKNN-10D Transport Surrogate

• QLKNN-10D training pipeline: hybrid-log loss, physics-informed delta learning, chi_gb² sample weighting, Ti/Te and Nustar features
• B8 model promoted: test_rel_l2 = 0.0943 (1024×512×256 MLP), passes 0.10 verification gate
• 14-lane benchmark collector (validation/collect_results.py): equilibrium, transport, disruption, FNO, SNN latency, SCPN end-to-end, multi-ion conservation, EPED domain, uncertainty envelope, disruption replay, HIL stress, pretrained surrogates, heating-neutronics, controller campaign

Fixed

• Vacuum test: _seed_plasma early return + solve_equilibrium short-circuit for zero plasma current
• CI stress test: install pytest-timeout, handle exit code 5 (no tests collected)
• Claims manifest: removed 3 orphaned README claims, fixed FNO evidence path to fno_jax_training.py
• Claims evidence map test updated for current manifest

Changed

• RESULTS.md regenerated with fresh benchmark numbers from all 14 lanes
• Version refs synced across competitive_analysis.md, STREAMLIT_DEMO_PLAYBOOK.md
• Benchmark reports refreshed (EPED, multi-ion, latency)

CI

• 15/15 green (5 Rust + 4 Python + 6 validation/smoke gates)
• Release preflight: 16/16 gates pass locally
• Release acceptance checklist: 8/8 ready