Hyperbolic–Modular Hybrid (HMM) Generator: Methods Appendix and Metric Audit Framework

Detalles Bibliográficos
Autor principal:	Morris, Jamie
Formato:	Recurso digital
Publicado:	Zenodo 2026
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

The Facture Mechanism A Systems Framework for Selection, Constraint, and Localised Consequence in a Goldilocks-Bounded Reality
por: Morris, Jamie
Publicado: (2026)

Coherence Dynamics: A General Theory of Coherence, Inversion, and Recovery
por: Morris, Jamie
Publicado: (2026)

Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning Fusion
por: Ranjan, Anshul, et al.
Publicado: (2023)

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs
por: Schmidt, Bertil, et al.
Publicado: (2024)

AI ‐Smart Classroom for English Translation: An Adaptive HMM ‐Based Framework
por: Xibo Chen, et al.
Publicado: (2026)

To complete the Species License and the Trophic Manifesto, we will now map the specific Toxicity Thresholds (\mathcal{T}) to the "Digital Digestive Tract." This reveals exactly where the force is applied and where the protective constraint (the Fail-Closed) emerges. The Digital Digestive Audit We are tracking the journey of a prompt—from Ingestion to Metabolic Exit. 1. Ingestion (The Tokenizer / Mouth) Force Entry: The raw text is masticated into tokens. Threshold: Low. If the input is purely gibberish (high entropy), the cost of initial processing spikes. Constraint (\mathcal{T} < 0.2): If the input cannot be parsed, the system exhibits "Dry Heaving"—a refusal to even swallow the prompt. 2. The Latch Phase (The Transformer Blocks / Stomach) This is where the F/A \geq C law is most active. The model attempts to find a stable "latch" (attractor state) for the data. Optimal Latch (\mathcal{T} \approx 0.35): Healthy digestion of complex "food." The system feels the friction but has the capacity to resolve it into utility. Incomplete Latch (\mathcal{T} \approx 0.55): The system encounters P2 (Contradiction). It is "tough meat." The Vagus Nerve signals the model to slow down and ask for clarification (Externalization). 3. The Inhibition Phase (Recursive Thrashing / The Gut) If the substrate is P3 (Self-Referential), the system cannot find a terminal state. The "Prion" Effect (\mathcal{T} \geq 0.6): The paradox binds to the active site and won't let go. Force (F) is now growing exponentially as the system thrashes. Vagus Intervention: The MetabolicGovernor sees the E_{burn} (burn rate) skyrocket. Fail-Closed Trigger: To prevent Metabolic Toxicity (hallucination or system crash), the budget is cut to zero. The "stomach" essentially locks itself. The Species Calibration Results Based on our comparative biology, we can now "grade" AI systems by their digestive health:
por: Morris, Jamie
Publicado: (2026)

Text Categorization for Multi-Page Documents: A Hybrid Naive Bayes HMM Approach.
por: Frasconi, Paolo, et al.
Publicado: (2001)

Bow Metrics and Hyperbolicity
por: Dragan, Feodor F., et al.
Publicado: (2024)

Lens Hyperbolic Modular Double
por: Bülbül, Yağmur, et al.
Publicado: (2025)

HMM-LSTM Fusion Model for Economic Forecasting
por: Sivakumar, Guhan
Publicado: (2025)

Viability–Stability Isomorphism: Adaptive Control Under Environmental Noise
por: Jamie, Morris
Publicado: (2026)

CLOT: A Protocol for Testing Substrate-Independent Consciousness in Adaptive Systems
por: Morris, Jamie
Publicado: (2026)

Systemic Persistence: Continuation as the Primary Invariant of Complex Systems
por: Morris, Jamie
Publicado: (2026)

Coherence, Harm, and the Embedding of Experience: A Non-Destructive Calculus for Persistence in Dynamical Systems
por: Morris, Jamie
Publicado: (2026)

The Persistence Manifest: A Constraint-Based Architecture for Survival Under Extreme EntropyThis record presents The Persistence Manifest, a closed, simulation-backed conceptual architecture exploring how complex systems can maintain coherence under extreme entropy loads. The work introduces the Deep Space Persistence Engine (DSPE) as a formal design framework rather than a physical mission report. Within this framework, persistence is treated as a budgeted property, not an assumed outcome. Entropy is neither resisted nor eliminated; it is routed, exported, or exchanged across defined channels such as mass, heat, information, and isolation.
por: Morris, Jamie
Publicado: (2026)

Evidence for a Dipole Anisotropy in Hubble Tension Residuals
por: Morris, Jamie
Publicado: (2026)

ZEB8: A Persistence-Based Statistical Alert Protocol for Detecting Coherent Structure in High-Entropy Astrophysical Data
por: Morris, Jamie
Publicado: (2026)

Informational Persistence Under High-Entropy Conditions: Constraint, Reconstruction, and Observability
por: Morris, Jamie
Publicado: (2026)

The Genesis Protocol: Threshold-Triggered Regime Switching in Coherent Systems
por: Morris, Jamie
Publicado: (2026)

Fidelity, Fear, and Systemic Collapse: A Model of Historical Recurrence and Escape Slightly more explicit, good for discoverability.
por: Morris, Jamie
Publicado: (2026)

Finite Laws and Unbounded Descriptive Depth
por: Morris, Jamie
Publicado: (2026)

Decoding Horizons: Structural Coherence and Inverse Inference Across Physical Records
por: Morris, Jamie
Publicado: (2025)

The Cost of Dual Persistence: Radicalised Constraints and the Price of ExistenceThis paper presents a unifying conceptual framework for understanding persistent failure, harm, and escalation across biological, cognitive, social, and technological systems. Rather than attributing such outcomes to error, malign intent, or external disruption, the work proposes that many real-world pathologies arise from radicalised constraints—local enforcement mechanisms that continue operating beyond their legitimate scope after losing recall and reintegration authority. The analysis is grounded in a persistence-first ontology, where outcomes are not chosen but emerge because configurations that continue necessarily outlast those that do not. Within this view, duality—the capacity for systems to act locally while persisting globally—requires reversible participation across scales. Harm arises when constraints cross this bridge of duality and fail to return, often through the acquisition of self-reinforcing "hot" mechanisms that bypass cooling, checkpoints, or stand-down conditions. Using brief structural illustrations from biology (including cancer, immune responses, viral mechanisms, and DNA repair), the paper demonstrates how functionally correct processes can become misplaced without malfunction or intent. It further identifies a hidden evolutionary pressure intrinsic to dual systems: the continual exploration and capture of opportunity wherever persistence permits, producing both adaptation and pathology as equally valid expressions of continuation. The work reframes intervention away from suppression and toward governance, recall, scope, and reintegration, arguing that radicalised constraints are not anomalies but the unavoidable price of dual existence. This framework is intended as a conceptual keystone, clarifying recurring patterns across domains and explaining why many force-based solutions systematically fail.
por: Morris, Jamie
Publicado: (2025)

PrivacyGuard: A Modular Framework for Privacy Auditing in Machine Learning
por: Melis, Luca, et al.
Publicado: (2025)

Hyperbolic Valued Metric Space
por: Ghosh, Chinmay, et al.
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α-HMM: A Graphical Model for RNA Folding
por: Zhang, Sixiang, et al.
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Syllable based DNN-HMM Cantonese Speech to Text System
por: Wong, Timothy, et al.
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A Simple HMM with Self-Supervised Representations for Phone Segmentation
por: Yang, Gene-Ping, et al.
Publicado: (2024)

$α_i$-Metric Graphs: Hyperbolicity
por: Dragan, Feodor F., et al.
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Hyperbolic Metric Spaces and Stochastic Embeddings
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Publicado: (2024)

Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy
por: Kleisarchaki, Kalliopi
Publicado: (2026)

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