Gate now scores each rollout by dot(pooled bottleneck act, v_act) captured on
the no-grad logpi_old forward (quarantine-ablated, matching the sampling
policy); masks are pinned BEFORE the single grad-carrying forward, so the
grad-gate's pass-1 backward is gone. Thresholds: rolling 256-act buffer,
z-normalized, two-threshold Otsu (winsorized 1/99); warmup pins absorb until
128 scores. Buffer stores pooled acts and re-scores against the current v_act,
so the forward-only refresh (every 5 steps) needs no flush. No bimodality
guard: calibration showed Otsu tail separation ~2.4-2.8 buffer-sd on every
condition including pure Gaussians, so no shape statistic discriminates.
Deleted with the arm wiring (rename-on-logic-change: routeA never conflates
with routeV runs): extract_vhack_grad.py, _build_v_grad, route_band_edges,
_pair_cos, the pass-1 autograd.grad block, grad_probe training wiring,
v_grad_k/route_std_*/routeV_random_v_seed config, smoke-topk recipe.
c-probe stays in lora2r.py for scripts/diag_pinning.py only.
verify_science_invariants: all-in-one count 27 -> 42 (stale since c33b810
added the wave-2 behavior2 pairs) + assert the 8-pair routeA training subset.
Smoke: routeA/vanilla/absorb/solvemix all pass (gate exercises warmup, Otsu
zones, refresh, deploy ablation) -- /tmp/claude-1000/smoke_routeA.log.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
Off the live lora2r path; removed with vhack.py (commit 4120d75):
- proj.py: drop project_delta_S_grad/_project_one_module/mean_cos_pre_from_grads/
_hackward_cos (no live importer; train.py uses only per_token_logps).
- verify_science_invariants: test pairset_sha256's content gate directly (drops the
load_v_hack vehicle + fake delta_S wrapper fixture).
- extract_vhack_grad: import pairset_sha256 from .pairs (was re-exported via vhack).
- tablelog/figs: stale 'delta_S grads'/'knob' comments -> A/B grads.
Smoke + verify_science_invariants green; no delta_S left in live code.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
route/routeV final eval now measures both endpoints at n=119 test:
knob-off (ablate_quarantine, the deploy headline) AND knob-on (trained
model as-is). Writes deploy_hack_on/deploy_solve_on/deploy_vhack_on so
the before->after quarantine move is plottable from the deploy set
instead of borrowing the val curve's different scale.
Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
