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2026-02-10Update (c): two-bar bottom/top 25% comparison, p=0.021*YurenHao0426
Cleaner than quintile bins - no non-monotonic issue Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Update (c) to use z_long only: Q5 vs Q1 p=0.006**YurenHao0426
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Update main figure: quintile mean+SE bar chart for vector similarityYurenHao0426
- (c) replaced boxplot with mean+SE bars + trend line, much clearer - Q5 vs Q1 p=0.003**, clear ascending trend across quintiles Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Add main results figure for reportYurenHao0426
- (a) RAG+Vector vs Reflection: only rag_vector, clear improvement bars - (b) Vector growth over 60 sessions - (c) Preference similarity quartile boxplot (Q4 vs Q1 p=0.018*) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Add clean report-ready figuresYurenHao0426
- fig_method_comparison: normalized improvement vs reflection + learning curve - fig_vector_analysis: vector growth + cumulative head-to-head advantage Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-10Add visualization figures for reportYurenHao0426
- learning_and_vectors.png: learning curve, vector growth, cumulative advantage, efficiency - method_comparison_bars.png: success/effort/timeout bar charts - vector_similarity_60s.png: PCA, pref-vector correlation (r=0.046, p=0.054), heatmap - vector_similarity_30s.png: same for 30 sessions - vector_analysis.png: norm distribution + session range bars Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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