Robustness confirmed: freq correlation identical under Anthropic's exact estimator (skip16+source_mean), max delta 0.008 all layers

1 files changed, 16 insertions, 2 deletions

diff --git a/results.md b/results.md
index 88834c0..4225e39 100644
--- a/results.md
+++ b/results.md
@@ -61,8 +61,22 @@ Their estimator (`jlens/fitting.py`) differs from our default in two details:
    mean over (source, future) pairs.
 
 We added `--skip_first N --source_mean` to `src/jlens_v3.py` to mirror their
-estimator exactly. The robustness re-run (same model, their estimator choices)
-is queued behind the loss-reweighting GPU job; results will be appended here.
+estimator exactly and re-ran the same model (outputs/jlens_v3_anthropic/).
+Result: the frequency correlation is essentially IDENTICAL under their
+estimator at every layer (max delta 0.008):
+
+```
+  Layer   default r   anthropic r   delta
+  L0      -0.643      -0.651        -0.008
+  L1      -0.668      -0.669        -0.000
+  L2      -0.672      -0.673        -0.001
+  L3      -0.685      -0.687        -0.002
+  L4      -0.637      -0.635        +0.002
+  L5      -0.606      -0.606        +0.000
+```
+
+The correlation is robust to the estimator's averaging choices (position mask
+and normalization). Last-layer identity check passed again (cos-sim 1.0000).
 
 Frequency scan: case-insensitive grep of their entire repo (README, code,
 experiment + evaluation data) finds ZERO occurrences of frequency/unigram/