MAYAN_ALFA — Public Note for the 10M Detailed Layer

MAYAN_ALFA is presented as an independent computational observation framework.
This 10M detailed layer is designed as the first inspectable benchmark
baseline in the P0.7 release workflow. It is intentionally small enough to be
reviewed, repeated, compared, and used as a diagnostic reference before larger
summary layers are generated.

The run compares three computational paths:

1. MAYAN_ALFA — the project observation path.
2. Miller–Rabin — an independent primality-testing reference path.
3. primesieve — an established high-performance reference path for prime counts.

The value of this layer is not only speed. Its main value is traceability:
consistent folder structure, repeatable parameters, segmented output, reference
comparison readiness, and a clear audit trail for later public and controlled layer
release packages.

Public/private boundary:
This output layer may be used in public GitHub/Zenodo material only after the
release audit confirms that it does not contain protected source logic, private
Observation Registry material, controlled layer [CONTROLLED_SCALE_REDACTED] data, or internal commercial
workflow artifacts.

Recommended wording for publication:
"The 10M detailed layer provides an inspectable benchmark baseline used for
workflow verification, reference comparison, and release QA within the documented
MAYAN_ALFA P0.7 environment."

