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feat: add pinned f0390c5 full path C evaluation reports and update runtime adapter tests
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cppmega_v4/_tilelang/linear_attention_path_d_real.py

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cppmega_v4/_tilelang/path_d_runtime_adapter.py

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reports/index.html

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@@ -235,16 +235,16 @@ <h2>Main Reports</h2>
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Mamba3 Path C forward and the production-safe Path B backward route.</p>
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</div>
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<div class="metric"><span>Explicit full Path C backward</span><strong><a
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href="v4/cppmega_1b_path_matrix_full_path_c_bwd_20260518.html">Full-C Matrix
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href="v4/cppmega_1b_path_matrix_full_path_c_bwd_f0390c5_pinned_20260518.html">Full-C Matrix
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HTML</a></strong>
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<p>Fresh current-HEAD 42/42 1B cells with <code>--mamba3-bwd path_c</code>; use this for the
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explicit full Path C experiment.</p>
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<p>Pinned <code>f0390c5</code> 42/42 1B cells from a detached worktree with
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<code>--mamba3-bwd path_c</code>; use this for the explicit full Path C experiment.</p>
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</div>
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<div class="metric"><span>Full-C current analysis</span><strong><a
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href="v4/path_c_loss_analysis_full_path_c_bwd_20260518.html">Full-C Analysis
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href="v4/path_c_loss_analysis_full_path_c_bwd_f0390c5_pinned_20260518.html">Full-C Analysis
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HTML</a></strong>
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<p>Current <code>f49a7e4</code> loss/win table, FP8 Lion recheck, dispatch samples, and
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codegen/cache/lifetime targets.</p>
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<p>Clean <code>f0390c5</code> loss/win table, Path B cache-regression flags, dispatch samples,
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and codegen/cache/lifetime targets.</p>
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</div>
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<div class="metric"><span>Why Path C loses</span><strong><a
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href="v4/path_c_loss_analysis_1b_20260518.html">Loss Analysis

reports/v4/cppmega_1b_path_matrix_full_path_c_bwd_f0390c5_pinned_20260518.csv

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