节点 n15

Looking at the results:
- Round 0 (κ=0.70): 60.855 (+0.121) — expr improved, cell_state dropped
- Round 1 (κ=0.70 + both): 60.232 (-0.502) — both hurt, especially expr and shape

So κ=0.70 alone is the best so far, but not enough. The key weakness is cell_state. With κ=0.65, cell_state was 53.64. With κ=0.70, it dropped to 52.48. 

The cell_state metric benefits from stronger blend-centroid selection. Currently SEL_P=1.0 (fully deterministic top-k). The parent table shows "blend p=1.0" scored higher cell_state than "blend p=0.8" at κ=1 (44.44 vs 43.21). So harder selection helps cell_state.

But we need to improve overall. Let me think about what else to try. The stderr shows `n=5000`. With κ=0.70, n_b = round(0.70*0.4*5000) = 1400, n_a = 3600.

Looking at the parent's exploration table more carefully:
- κ=0.65 side-b: 60.74 (cell_state 52.84)
- κ=0.75 side-b: 60.54 (cell_state 49.94)
- κ=0.70 is between these

The cell_state at κ=0.70 (52.48) is slightly below κ=0.65 (52.84). So less damping hurts cell_state slightly.

Alternative approach: try κ=0.60. The parent tested κ=0.5 (60.28) and κ=0.65 (60.74), but not κ=0.60. With stronger damping, more a-side cells, potentially better cell_state. But κ=0.5 was worse overall due to shape/local collapse.

Better idea: try SEL_TARGET="opposite" with κ=0.70. The parent table shows at κ=1, "opposite p=1.0" got cell_state 44.44 vs "blend p=1.0" got 44.20 — very close. But with damping, opposite might behave differently. Actually this is risky.

Most promising: try κ=0.60. The gap between κ=0.5 (60.28) and κ=0.65 (60.74) suggests κ=0.60 could be a sweet spot — stronger damping than 0.65 (helping cell_state via more concentrated a-side selection) while not as extreme as 0.5 (which hurt shape/local too much).

Actually wait — looking more carefully at the parent table: κ=0.65 side-b scored 60.74 with cell_state 52.84. The current κ=0.70 gives 60.855 with cell_state 52.48. The overall gain came from expr (+0.9) and shape (+0.7) offsetting cell_state (-1.2). 

To get >1 point improvement over baseline (60.734), I need to find something that gives ~61.7+. Let me try κ=0.60 — it's untested and sits between the two known points.

CHANGE: KAPPA 0.70→0.60：加强组成阻尼（晚端占比从0.28降到0.24），κ=0.60 是父节点未测试的中间值，介于 κ=0.5（60.28，shape 崩溃）和 κ=0.65（60.74）之间，期望在保持 cell_state 的同时不过度牺牲 shape。

<<<<<<< SEARCH
KAPPA = float(os.environ.get("KAPPA", "0.70"))
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KAPPA = float(os.environ.get("KAPPA", "0.60"))
>>>>>>> REPLACE