Commit per-architecture correlated DoE CSVs, not just the merged one

These are data in their own right (the per-trial-labeled telemetry, one
step before merging into combined.csv), not disposable scratch -- keep
them alongside it rather than only documenting how to regenerate them.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EXieurDfDSsDFdnSyusuWo

experiments/std79-doe/analysis-20260912/README.md

@@ -16,7 +16,9 @@ two-way ANOVA tables, boxplot SVGs). This file just documents the pipeline.
    docstring for the two-pass reconstruction method, and its `RUN_ID_MAP` for
    why identity/rep are looked up from a known-clean prior run rather than
    re-parsed from each log — one aarch64 marker was unrecoverable, see below).
-   Run once per architecture:
+   Output committed as `{amd64,aarch64,riscv64}-correlated.csv` (255-257 rows
+   each, data in their own right — the per-trial-labeled telemetry, one step
+   before merging) — never discarded as scratch, regenerable exactly via:
 
    ```
    python3 correlate_doe.py ../results-20260912-with-heartbeat-csv/amd64-doe-raw.log amd64-correlated.csv
@@ -25,9 +27,9 @@ two-way ANOVA tables, boxplot SVGs). This file just documents the pipeline.
    ```
 
 3. **`combine.py <in1.csv> [in2.csv ...] <out.csv>`** — merges the three
-   per-architecture correlated CSVs into `combined.csv` (committed, 768 rows),
-   decoding Q48.16 fixed-point fields to plain floats and `jitter_bits`' raw
-   IEEE754 bit pattern to a real `jitter_ns` value:
+   committed per-architecture correlated CSVs into `combined.csv` (committed,
+   768 rows), decoding Q48.16 fixed-point fields to plain floats and
+   `jitter_bits`' raw IEEE754 bit pattern to a real `jitter_ns` value:
 
    ```
    python3 combine.py amd64-correlated.csv aarch64-correlated.csv riscv64-correlated.csv combined.csv