MAYAN_ALFA — 10M Detailed Benchmark Run Manifest
Generated: 2026-05-17 19:10:11 UTC

Purpose
-------
This file documents the 10M detailed benchmark layer of the MAYAN_ALFA P0.7
workflow. The layer executes MAYAN_ALFA, Miller–Rabin, and primesieve over the
same numeric boundary and stores their outputs in separate folders for later
comparison, QA, and release packaging.

Interpretation Boundary
-----------------------
This artifact is a computational observation and benchmark artifact. It should
be interpreted within its documented software, hardware, compiler, dataset, and
workflow context. It is not a standalone mathematical proof, not a cryptographic
security statement, and not a universal performance guarantee.

Run Configuration
-----------------
Scale: 10M
Limit: 10000000
Step: 1000000
Detail mode: 1
Output root: OUTPUT_10M

Engine Paths
------------
MAYAN_ALFA runner: P0_7A_MAYAN_ONLY/run_custom.sh
Miller–Rabin runner: P0_7B_MR_ONLY/run_custom.sh
primesieve runner: P0_7C_PRIMESIEVE_ONLY/run_primesieve_p0_7.sh

Output Structure
----------------
OUTPUT_10M/MAYAN       — MAYAN_ALFA detailed output for the 10M layer
OUTPUT_10M/MR          — Miller–Rabin reference output for the 10M layer
OUTPUT_10M/PRIMESIEVE  — primesieve reference output for the 10M layer

Publication Position
--------------------
The 10M layer belongs to the public-safe benchmark range when it passes the
project leak checks and contains no protected core source code, private registry
material, or controlled layer [CONTROLLED_SCALE_REDACTED] validation archive data.

Completion
----------
Finished: 2026-05-17 19:10:17 UTC
Status: completed by script without internal shell error

Next Recommended Steps
----------------------
1. Run the comparison layer after all required engine outputs exist.
2. Verify that MAYAN_ALFA, Miller–Rabin, and primesieve outputs agree within the
   expected validation format.
3. Include this layer in public release packages only after the public/private
   leak check passes.
4. Preserve this manifest with the generated outputs for reproducibility and
   future audit.

