IndisputableMonolith.Measurement.RSNative.Alignment
This module defines an alignment protocol extending the base Protocol with invariants for cross-agent comparability in RS-native measurements. Researchers formalizing multi-agent consistency within Recognition Science would cite it. The module consists entirely of definitions for AlignmentProtocol, AlignmentMap, Alignment and apply, with no proofs or theorems.
claimAn alignment protocol augments a Protocol with explicit invariants ensuring cross-agent comparability: $\text{AlignmentProtocol} \supseteq \text{Protocol}$ equipped with comparability conditions on observables.
background
The parent Core module establishes the RS-native measurement scaffold using ticks, voxels, coh, act and ledger observables with $\tau_0 = 1$. SI/CODATA values remain external; every measurement carries an explicit protocol plus falsifiers. This Alignment module adds the AlignmentProtocol, AlignmentMap and Alignment structures to enforce cross-agent invariants on top of that scaffold.
proof idea
this is a definition module, no proofs
why it matters in Recognition Science
The module supplies the alignment layer required by the RS measurement framework so that protocols remain comparable across agents. It directly supports the explicit-protocol design goal stated in the Core module doc-comment.
scope and limits
- Does not define numerical values or calibration to SI units.
- Does not implement concrete alignment algorithms or maps.
- Does not prove existence or uniqueness of alignments.
- Does not connect to external CODATA constants.