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IndisputableMonolith.Sport.RecordProgressionFit

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The Sport.RecordProgressionFit module defines reference gap functions for modeling how athletic records approach an asymptote in RS-native units. Analysts applying Recognition Science to sports performance data would cite these to quantify progression via gapAt and consecutive_gap_ratio. The module contains only definitions, importing the base time quantum from Constants with no proof bodies present.

claimThe module introduces referenceGap as the baseline gap-to-asymptote for any event, fixed at 1 in RS-native units. It further defines gapAt(r) as the gap at position r on the progression ladder, along with gapAt_pos', gapAt_succ_ratio, and consecutive_gap_ratio to track strictly decreasing gaps.

background

This module sits in the Sport domain of Recognition Science and imports Constants to access the fundamental RS time quantum τ₀ = 1 tick. The supplied doc-comment states that referenceGap supplies the reference gap-to-asymptote for any event at RS-native value 1. Sibling definitions such as gapAt and gapAt_strictly_decreasing build a ladder of gap ratios that decrease toward the asymptote, consistent with the phi-ladder structure used elsewhere in the framework.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the reference gap baseline that later sport analytics can apply to record data under the J-uniqueness and phi fixed-point steps of the forcing chain. No downstream theorems are listed in the current graph, so the definitions remain available for external use in fitting athletic progressions to the RS-native asymptote of 1.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (8)