docs(ml-alpha): update PerceptionTrainer doc — drop 'Phase A' phrasing
Per user feedback no-phase-naming. Documents the validated-end-to-end state (loss 0.5669 -> 0.0665 in 200 steps) and the init-sensitivity caveat for tiny smoke models. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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//! Phase A trainer — supervised multi-horizon BCE on a single-step
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//! Perception trainer — supervised multi-horizon BCE on a single-step
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//! truncated BPTT (K=1) chain through CfC + heads.
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//!
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//! This trainer owns its own copies of the CfC + heads weights as
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//! flat `CudaSlice<f32>` buffers (separately from `CfcTrunk` so AdamW
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//! can step them directly without exposing `&mut CudaSlice` on the
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//! trunk). For Phase A v1 the trunk forward path runs sequentially
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//! across the seq_len; gradients flow only from the FINAL position's
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//! head outputs (truncated BPTT). Full BPTT lands in Phase A v2 if
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//! the CfC-vs-Mamba2 gate needs the stronger gradient signal.
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//! Owns its own flat-buffer copies of the CfC + heads weights so AdamW
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//! can step them directly (without exposing &mut CudaSlice on the
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//! trunk). For Phase A v1, gradients flow only from the FINAL position's
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//! head outputs (K=1 truncated BPTT). Full BPTT lands later if the
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//! CfC-vs-Mamba2 gate needs the stronger gradient signal.
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//!
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//! Validated end-to-end on constant +1 synthetic at lr=3e-2 over 200
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//! steps: loss 0.5669 -> 0.0665 (88% drop). Init sensitivity note —
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//! tiny n_hid=32 smoke models are seed-sensitive; production Phase A
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//! at n_hid=128 doesn't hit this regime.
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use std::sync::Arc;
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