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docs: correct the ReflectoExp README against the code - #10
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Tier: low (README only)
Evidence
engines/model.py= exp07xrr_model.pyat b93c91f, Reflectoassets/config.json= exp07 config values at b93c91f; XRefine's first commit 9e3834e (2025-12-30 19:26) containssrc/reflecto_exp/simulate/torch_engine/from abd6660 (same day 12:11) with at most 6 differing lines per file; ReflectoLearn f35ab56 (2026-06-01)model.pyandtrain.pyderive from exp07. No comparison between these and the results here exists.runs/exp07_fourier_hires/main.py:160output_dim=3, # [Thick, Rough, SLD]; the SiO2 parameters are randomized in the simulation (config.pysio2_*ranges) and not predicted.reflecto_exp.simulate.simul_refnx(runs/exp01_quan_class/dataset.py:17), so it needs refnx too.train_fused.py:16importsfused_loss_with_confidence;model_fused.py:107defines onlyfused_loss_with_masking.base_dir: exp02 and exp06 use$DATA; exp04, exp05, exp07 have drive paths (runs/*/config.py).torch_engineis imported by no file underruns/(grep).Tests: none affected (README only). Part of the lineage audit (BACKLOG A1).