MAYAN_ALFA — 1B PUBLIC BENCHMARK NOTE
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MAYAN_ALFA is an independent computational observation framework focused on
benchmark behavior, deterministic comparison, scaling interpretation and
release-auditable computational records.

This 1B summary layer records a public benchmark checkpoint at the
1,000,000,000 number scale. It is designed to support transparent comparison
between MAYAN_ALFA, Miller–Rabin and primesieve reference outputs.

The purpose of this layer is not to make sensational claims. Its purpose is to
provide a structured, reproducible and reviewable benchmark observation that can
be used in public documentation, release QA, citation materials and research
workpacks.

Correct interpretation:
  - this is a measured benchmark layer,
  - the results depend on the documented computational environment,
  - the layer supports scaling discussion and independent review,
  - the layer must be interpreted together with the full validation chain.

Incorrect interpretation:
  - this is not a universal mathematical proof,
  - this is not a cryptographic security claim,
  - this is not a promise of identical performance on all machines,
  - this does not disclose protected MAYAN_ALFA core logic.

Release boundary:
  The 1B layer belongs to the public 10M–10B release family after
  sanitization. [Controlled Layer] [CONTROLLED_SCALE_REDACTED] validation archive material belongs only to the
  [CONTROLLED_ARCHIVE_REDACTED] package and must not appear in public, BRONZE or SILVER release layers.
