docs: record Dual Prop bias confirmation

1 files changed, 19 insertions, 3 deletions

diff --git a/TWO_STATE_BIAS_PROGRAM.md b/TWO_STATE_BIAS_PROGRAM.md
index c7a238f..6811739 100644
--- a/TWO_STATE_BIAS_PROGRAM.md
+++ b/TWO_STATE_BIAS_PROGRAM.md
@@ -305,6 +305,22 @@ Stop this paper direction if:
   overclamping analogue reaches zero error without neutral observations and
   beats SDIL everywhere. Therefore the mechanism test passes, but the physical
   strong-baseline gate does not; see `results/physical_bias/p1_surrogate.json`.
-- Dual Prop same-path confirmation: active/supporting, not a passed result.
-- EP/CpL adapters: not implemented under this bias model.
-- Current score for this new paper framing: 5/10 until P1 passes.
+- Dual Prop same-path confirmation: passed as a supporting mechanism result.
+  Across five frozen seeds, raw structured bias reduces validation accuracy to
+  `9.40%`, while same-path clean and innovation reach `82.86%` and `82.92%`
+  means. The paired innovation-minus-raw gain is `73.52` points (95% lower
+  bound `73.15`); the clean-minus-innovation 95% upper bound is `0.354` points,
+  and the innovation-versus-oracle absolute-mean bound is `0.566` points. The
+  maximum residual-bias ratio is `8.57e-8`, with zero instruction observations
+  used by the predictor; see `results/contrastive_bias/c1_gate.json`. Because
+  the bias is injected from the declared predictor feature, this confirms the
+  adapter and causal correction but is not independent real-world evidence.
+- EP adapter: implemented against the pinned Rain author code with manual local
+  EP parameter gradients, autograd disabled for SDIL, local neutral LMS, replay
+  checks and clean/raw/constant/innovation/oracle/noise endpoints. CUDA
+  performance screening is active; no task-performance claim is recorded yet.
+- Coupled-learning/DCHN adapter: not implemented under this bias model.
+- Current score for this new paper framing: 5/10. Passing the artificial Dual
+  Prop confirmation does not repair the failed physical strong-baseline gate;
+  promotion requires an independently grounded bias source and a passed
+  cross-backbone confirmation.