Headline (gemma-3-4b-it s42, care-over-authority): aggregating the kl_rev
barrier by rmse over token positions (not the mean) holds coherence flat at
0.997 across all 8 rounds, where the mean aggregate collapses to 0.62 by r7
(token loops). Mean dilutes the few incoherent positions under the tau gate;
rmse is outlier-sensitive and fires on them. Cost is depth (rmse run leashes
to base, trait stays shallow); matched control still running.
- plot.py: coherence panel -> log-incoherence (1-coh, log axis, down=coherent);
map coherence axis matches; red steer kept on the over-pipeline panels only.
- heal.py: fix kl_agg=p95 crash (torch.quantile rejects bf16 -> .float()).
- run.py: persist per-round adapter gens (adapter_gen) for the outputs table.
- config.py: coh_floor early-stop knob.
- README: results table (mean vs rmse), trajectory figure, outputs-over-loop
appendix (per-round completions as quotes); spec persona corrected to pos-neg.
- docs/reviews: kl_agg review, pool saturation test, care-lens plan.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
The pareto map drew a base->r0->...->rN polyline per arm, which tangled at 10
rounds and duplicated the left zigzag's round-order info. Make it a scatter that
just shows WHERE steered/healed land, labelling only r0 + last round. Persist the
base eval as an event so the loop's plot is reproducible offline, and add
scripts/plot_run.py to re-render trajectory.png from events.jsonl without re-running
the 3h loop (needed because the loop imports plot.py at start, so a plot fix never
reaches a running job).
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
wassname