feat: add causal frame set attention fusion
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@@ -43,6 +43,13 @@ result.
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- Ego4D batch and 8-GPU local-feature launchers, with strict frame audits.
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- Timing-derived wearer floor-state and event diagnostics.
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### Implemented, awaiting remote runtime verification
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- F1 Frame-set Attention loader/head/train/infer path. It uses fused G+A as
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one query over the latest half-open causal person set, retains direct A in
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the head, and dynamically pads people per batch. Do not report it as a
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measured method until the L20 smoke and full controls pass.
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### Current blocker
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`evaluate_floor_state_changes.py` counts a wearer transition anywhere in a
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