Record EasyCom loss structure ablation
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@@ -147,6 +147,19 @@ Treat this as a capacity ablation. If it improves, compare it against a
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parameter-matched single-layer MLP and use stronger regularization or a clean
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development session before attributing the gain to cross-layer fusion.
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#### Four-epoch loss-structure ablation
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Using the same frozen 8-second last-4 stack and concat-MLP readout, a
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three-seed fixed-budget comparison tested LSTR-MCE, independent sigmoid/BCE,
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and four-state softmax. All nine training sessions were used for exactly four
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epochs with no development set. On the causal-valid test metric, no objective
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is a decisive winner: BCE has the highest mean mAP (`60.91733`), while
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four-state CE has the highest 0.2-second wearer AP (`78.72040`). Relative to
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LSTR-MCE, both alternatives slightly improve the two speech classes while
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reducing background AP. The full protocol, per-seed summary, seed-0 horizon
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curves, and machine-readable data are archived in
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[`results/easycom_loss_structure_4ep_2026-08-26/`](results/easycom_loss_structure_4ep_2026-08-26/README.md).
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## Current Ego4D context-length results
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The following single-seed snapshot was recorded on 2026-08-22. Both variants
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