spec: Introspective State Vector (ISV) — model self-awareness module
Replaces hardcoded Q-drift penalty with learnable self-awareness:
8 ISV signals (q_drift, grad_norm, td_error, ensemble_var, velocity,
reward, atom_util, loss) computed by pure GPU kernel, fed through
encoder MLP (8→16→8) for branch gating + drift-conditioned gamma +
risk branch input. Includes recursive confidence head (predict own
TD-error), branch confidence routing (replaces regime_branch_gate),
and temporal ISV memory (K=4 rolling buffer with learned decay).
10 new weight tensors (68→78), 582 new params, ~39KB VRAM.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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