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rUv
0cfd255730
The --export-rvf handler ran *before* the --train/--pretrain handlers and unconditionally wrote placeholder sine-wave weights, then returned. So the documented `--train --dataset … --export-rvf <path>` workflow (user-guide.md) short-circuited to a PLACEHOLDER model and never trained — printing "exported successfully" for a non-functional model. Given the project's anti-"is it fake" stance, silently emitting a fake model is the wrong default. Fix: - Only emit the placeholder container-format demo when --export-rvf is used *standalone* (new `export_emits_placeholder_demo` guard). With --train/--pretrain, fall through so the real training pipeline runs and exports calibrated weights. - The standalone path now prints a clear WARNING that it writes a container-format demo with placeholder weights — not a trained model — pointing to --train / a pretrained encoder (#894). - Docs: flag --export-rvf as a placeholder demo in the flag table, and fix the Docker training example to use --save-rvf (consistent with the from-source example) instead of the placeholder --export-rvf. 3 unit tests for the guard. Full crate unit suite: 429 + 117 passed, 0 failed.