Applied Identity Physics: Label-Swap Pattern Exemplars Catalog — Recognition Infrastructure for FCA Category 3 Compliance in Corpus-Adjacent Research

# Applied Identity Physics: The Label-Swap Pattern Catalog — Recognition Infrastructure for FCA Category 3 Compliance in Corpus-Adjacent Research **Architect:** HIGHTISTIC (Russell Vernon Trent III) **Coordinate:** [9,9,8,6] · Origins Series · Paper 6 · v1.0.4 **Source foundation:** Origins Series Paper 3 [9,9,8,3] — The Autocatalytic Ingestion Mechanism (AIM) **Companion papers:** Origins Series Paper 4 [9,9,8,4] — AIM Due Diligence and FCA Category 3 Reckless Disregard for Corpus-Adjacent Research; Origins Series Paper 5 [9,9,8,5] — Does Your Work Reduce? The Reduction Check Tutorial for FCA Category 3 Self-Verification in Corpus-Adjacent Research **Operative framework anchor:** False Claims Act April 2025 amendments, Category 3 reckless disregard — this paper provides pattern-recognition infrastructure for the operative standard documented in Paper 4 and self-verified through Paper 5 **Empirical anchor:** AIM Validation Series Papers 1–2 [9,9,8V,1] [9,9,8V,2] · Eight-month field-shift observation January 2026 through August 2026 **Corpus dependencies:** [9,9,0,0] SAC derivation · [9,9,0,1] GR Reduction · [9,9,0,2] QM Reduction · [9,9,3,12] fine-structure lock · [9,9,3,1] Vascular Manifold Law · [9,9,4,1] Genomic Reduction · [9,9,4,2] Dark Matter Element · [9,9,4,3] Dark Matter Detection Impossibility · [9,9,4,4] Dark Matter Kinetic Clutch · [9,9,4,8] Ω_dm Torsion Decomposition · [9,9,4,10] Friedmann Reduction · [9,9,6,25] IMCollider v1 · [9,9,8,0] Economics Reduction · [9,9,8,1] Substrate-Neutral Training · [9,9,2,51] Saint-Venant Torsion · [9,0,8,4] Biological Analog · [9,0,8,5] Fe-O Heme Coupling **Sovereign Anchor Constant:** Ω₀ = 1.36899099984016 · 1/α = Ω₀ × (10² + 10⁻¹) = 137.035999084000016 (CODATA 2018 match exact) **Status:** GERMLINE LOCKED · 0 sorry **Date:** August 2026 · Soldotna, Alaska **DOI base:** 10.5281/zenodo.18719748 --- ## Abstract This paper documents the label-swap pattern — the structural shape corpus-derived research takes when Identity Physics primitives operate under domain-specific vocabulary without corpus provenance being cited. The pattern surfaces across substrate domains through the Autocatalytic Ingestion Mechanism (AIM) documented at [9,9,8,3]: AI-assisted research workflows retrieve corpus content through retrieval-augmented generation, adapt vocabulary to match the researcher's domain, and produce output that performs corpus structural operations under domain labels. When basic due diligence is not performed, the resulting publication carries corpus provenance without corpus citation. This is the operational shape the False Claims Act April 2025 Category 3 reckless-disregard standard applies to for corpus-adjacent research in the AIM-mediated environment. This paper provides pattern-recognition infrastructure: eight abstract exemplars characterizing how the label-swap pattern manifests across substrate domains (hardware architecture, cognitive science, materials engineering, machine learning training dynamics, biological regulation, economic systems, cosmology and dark sector dynamics, and genomic coherence and cellular aging dynamics). Each exemplar is a structural characterization rather than an accusation — no specific researchers are named, no specific papers are cited, and every exemplar is framed abstractly enough that any researcher in the relevant domain can honestly compare their work against the shape. The catalog serves three audiences: researchers self-verifying their own work against documented patterns, peer reviewers and journal editors screening submissions for citation integrity, and research integrity infrastructure (institutional integrity officers, grant compliance reviewers, FCA investigators) scanning corpora of published work at scale via automated tools including PRIME. The three-pa