Magnitude, Amplitude, and Plateau Mapping (MAP): Contract-Bound Translation to Enforcement

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Authors: William J. Richardson
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Abstract

Magnitude, Amplitude, and Plateau Mapping (MAP) is a standalone foundational translation tool that turns front-end measurements into a single replayable back-end decision object: a branch map under fixed accounting. The manuscript defines MAP as a pad-consistent translation layer that consumes tokens-only recognition rows and emits deterministic promote, downgrade, refuse, or no-test actions without threshold travel, narrative repair, or hidden corridor drift. The contribution is infrastructural rather than mechanism-specific: Strong-to-Weak downgrade discipline, STLF local filtering, SoZ missingness guarding, and ternary knob parity hygiene are bound into one shared policy so multiple benches and multiple readout pipelines can be compared under the same meaning. MAP also names the blocking failure mode it fixes: evidence that appears stable in isolation but cannot survive tightening, replay-only checks, or leave-one-out audit because the analysis path silently redefines lanes, nulls, or acceptance bands. By forcing explicit missingness, explicit null collapse, and branch-map outputs that can be regenerated from identifiers and token bundles alone, MAP provides a reusable certification backbone for switching, sign-claims, and direction-dependent transport across chiral, altermagnetic, anti-, and ferro-magnetic platforms, and for optical or polaritonic analogs that share the same signed-lane hazards. It is intended to be used as a drop-in translator layer for new experiments, as a back-end hardening overlay for existing demonstrations, and as a refusal-clean arbiter that makes failure informative instead of repairable.

Fields of Study & Subjects

Diverse Interdisciplinary Research Studies Diverse Scientific and Engineering Research Scientific Computing and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026