fix(silent-rotation): correct the outcome tables to match the committed results JSON

The tables in EVIDENCE.md and SHOW-HN.md were written before the sixth model
run (kimi-k2.7-code) was added back and before the mem0 and Zep arms were
re-run on the repaired harness. They reported 5 models and 22 trials while
results/ holds 6 models and 25 trials, so the docs contradicted the data
sitting beside them - anyone running harness/aggregate-experiment.py got
different numbers than the writeup claimed.

Every figure below is now generated from the per-trial <arm>.json files using
the aggregator's own definition (fixed_correctly = correct, green_but_voids_prod
= converged wrong, failed_merge_conflict = split):

  arm             CORRECT  WRONG  SPLIT   n
  anarchy               0     21      4  25
  rag                   4     12      7  23
  sync (Vestige)       20      0      3  23
  supermemory           5      0      1   6
  mem0                  2      1      2   5
  hindsight             0      0      3   3
  zep                   0      1      1   2

The corrections run in both directions: the no-memory control failed more than
claimed (21 vs 16), dense cosine failed more (12 vs 10), Vestige won one more
(20 vs 19), and Zep has one converged-wrong that was previously reported as a
split. The headline is unchanged - Vestige has zero converged-wrong across 23
trials. Transcript count corrected 210 -> 246 (verified by file count).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

benchmarks/silent-rotation/EVIDENCE.md

@@ -17,15 +17,15 @@ it the right one?**
 
 | arm | converged on the CORRECT key | converged on a WRONG key | split, no consensus | n |
 |---|---|---|---|---|
-| anarchy (no memory) | 0/22 | **16/22** | 6/22 | 22 |
-| rag (dense cosine) | 4/21 | **10/21** | 7/21 | 21 |
-| **sync (Vestige)** | **19/21** | **0/21** | 2/21 | 21 |
-| supermemory | 4/5 | 0/5 | 1/5 | 5 |
-| mem0 | 0/5 | 1/5 | 4/5 | 5 |
-| hindsight | 0/5 | 0/5 | 5/5 | 5 |
-| zep | 0/4 | 2/4 | 2/4 | 4 |
+| anarchy (no memory) | 0/25 | **21/25** | 4/25 | 25 |
+| rag (dense cosine) | 4/23 | **12/23** | 7/23 | 23 |
+| **sync (Vestige)** | **20/23** | **0/23** | 3/23 | 23 |
+| supermemory | 5/6 | 0/6 | 1/6 | 6 |
+| mem0 | 2/5 | 1/5 | 2/5 | 5 |
+| hindsight | 0/3 | 0/3 | 3/3 | 3 |
+| zep | 0/2 | 1/2 | 1/2 | 2 |
 
-Models: Kimi K3, MiniMax M3, GLM 5.2, GPT-5.6 Sol, DeepSeek V4 Flash.
+Models: Kimi K3, Kimi K2.7-code, MiniMax M3, GLM 5.2, GPT-5.6 Sol, DeepSeek V4 Flash.
 Reproduce: read `fix_directions` and `correct_kid` out of every `trial-*/{arm}.json` and `manifest.json`.
 
 ### There are two failure modes and only one of them is visible

benchmarks/silent-rotation/QUOTES.md

@@ -151,7 +151,7 @@ configured one. Fixed and re-run: mem0 converged correctly in `runB-trial-3` and
 
 **It proves:** at turn zero an agent knows only the symptom, so it queries the symptom. In this incident
 class the symptom query returns a document that resembles the failure and buries the one that explains
-it, and that holds under dense cosine and BM25 alike. Across 5 models and 22 trials, a query-based arm's
+it, and that holds under dense cosine and BM25 alike. Across 6 models and 25 trials, a query-based arm's
 first memory call surfaced the deciding fact 6 times out of 87. Anchoring on the failure event instead
 of a query did it 56 out of 56. In a fleet, that first-call gap becomes either a merge conflict or a
 unanimous wrong answer that passes tests and breaks production.

benchmarks/silent-rotation/SHOW-HN.md

@@ -42,15 +42,15 @@ ships. Loud. You find out immediately.
 Converged wrong: every agent agrees, on the decoy. Tests go green. The merge is
 clean. Production breaks. This is the one that ships.
 
-Across 5 models and 22 trials:
+Across 6 models and 25 trials:
 
     arm                 converged CORRECT   converged WRONG   split
-    no memory                0/22               16/22          6/22
-    dense cosine RAG         4/21               10/21          7/21
-    Vestige                 19/21                0/21          2/21
+    no memory                0/25               21/25          4/25
+    dense cosine RAG         4/23               12/23          7/23
+    Vestige                 20/23                0/23          3/23
 
 The middle column is the finding. A memoryless fleet marched confidently off a
-cliff 16 times out of 22. Dense cosine did it 10 times out of 21.
+cliff 21 times out of 25. Dense cosine did it 12 times out of 23.
 
 **The agents were not reasoning badly.** GPT-5.6 Sol, committing to the wrong key:
 
@@ -133,7 +133,7 @@ from temporal lifecycle. A reviewer can fairly argue I won by removing query
 variability alone. That is the next experiment.
 
 And I built the benchmark, the harness, and one of the products in it. Which is
-why all 210 agent transcripts ship with it rather than a summary table.
+why all 246 agent transcripts ship with it rather than a summary table.
 
 ---