Whitepapers, research papers, briefings, presentations, and applied use cases from the SORT framework. All documents are directly accessible — no signup, no gating, no tooling.
Core SORT whitepaper line in two publication layers: canonical reference editions preserved in the Zenodo archive, and journal-style preprint editions for formal scientific distribution. Versions are cumulative — each builds on and extends the preceding architecture.
Version 6. Complete algebraic structure and modular domain architecture. Closed set of 22 idempotent operators, global projector, and calibrated projection kernel. Validated within the MOCK v4 environment.
Open DOI →Version 5. Mathematically hardened projection framework. Operator architecture of 22 fragments forming an idempotent projection system. Addresses CMB irregularities, early galaxy formation, and Hubble tension.
Open DOI →Version 4. Foundational introduction of the Supra-Omega Resonance Theory. Theoretical foundations, numerical simulation architecture, and initial applications to observational data.
Open DOI →Programmatic statement for the SORT research program. Presents architectural completion across cosmology, AI, quantum, and complex systems. Structurally complete theory prepared for empirical validation.
Open DOI →Operator-based projection framework for structural coherence in cosmological settings. 22 idempotent resonance operators, closed commutator algebra, and non-local Fourier-space kernel with calibrated correlation scale.
Open DOI →Initial preprint edition. Introduces the projection-based algebraic structure for generating coherent large-scale patterns from a deterministic resonance space. Validated through a three-layer computational architecture.
Open DOI →Peer-oriented preprints and analytical research papers covering AI safety, runtime architecture, infrastructure efficiency, and agentic systems diagnostics. Published via Preprints.org and SSRN.
Projection-based safety module built on a closed algebra of 22 idempotent operators. Provides diagnostics for drift accumulation, operator collapse, invariant violation, and destabilization of alignment-relevant fixed points.
Open DOI →Structural safety framework modeling AI systems as operator chains under global consistency constraints. Uses retrieval-augmented generation as a testbed for analyzing hallucination, mis-grounding, and deceptive stability.
Open DOI →Mathematically hardened operator framework for analyzing stability, drift, fixed-point structure, and emergent non-local interactions in large AI models. Supports analysis of mesa-optimization conditions and misalignment trajectories.
Open DOI →Structural analysis of interconnect-induced instability as an emergent property of tightly coupled runtime systems. Reframes stability as a first-order economic variable rather than a secondary performance artifact.
Open DOI →Introduces runtime control coherence as a structural property — the degree to which distributed control decisions across schedulers, orchestrators, and policy layers remain mutually consistent. Positions control incoherence as a first-order economic variable.
Open DOI →Structural analysis of instabilities in multi-agent orchestrations, tool-calling pipelines, and autonomous planning architectures. Positions agentic incoherence as a distinct failure domain beyond interconnect and control plane issues.
Open DOI →Diagnostic framework for structural efficiency analysis. Formalizes the relationship between nominal hardware capacity and effective throughput through synchronization losses, memory-control friction, and intent propagation failures.
Open DOI →Context briefs and engagement reference documents. Intended for scope orientation and executive-level framing of structural diagnostics.
Structural stability diagnostics for interconnect-induced performance collapse in distributed AI and HPC systems.
View PDF →Coordination paradox and control plane coherence as an economic variable in multi-layer runtime environments.
View PDF →Stability control for agent workflows with retry loops, self-verification, and tool calling patterns.
View PDF →Extended context brief covering agentic system stability diagnostics and structural failure modes.
View PDF →Overview of SORT applications for executive and strategic audiences. Scope, positioning, and structural coverage.
View PDF →Scope and boundary definitions for engagement models. Clarifies what SORT-based work includes and excludes.
View PDF →Finalized presentation decks covering framework architecture, core applications, and structural analysis of AI infrastructure economics.
Framework overview presentation. Operator definitions, validation protocols, and structural modeling methodology.
View PDF →Scaling paradox, interconnect as a first-order cost variable, and coupling-driven performance collapse.
View PDF →Coordination paradox, control plane coherence as an economic variable, and multi-layer runtime incoherence.
View PDF →The hidden topology of AI performance — structural layers that determine runtime behavior beyond hardware metrics.
View PDF →Why modern AI fails even when nothing is broken — the invisible control layer between orchestration and execution.
View PDF →When higher spend produces lower reliability — structural coupling effects in AI infrastructure economics.
View PDF →Why AI passes every benchmark and still drifts in production — the divergence between evaluation and deployment.
View PDF →Structural failure modes in agentic systems — when meaning breaks across tool chains and multi-agent coordination.
View PDF →Capacity inversion dynamics — when scaling infrastructure produces diminishing structural returns.
View PDF →Applied structural analysis — each use case demonstrates SORT diagnostics against a specific failure pattern, optimization challenge, or architectural divergence.
Efficiency analysis across infrastructure layers — identifying where structural coupling erodes nominal capacity.
View PDF →How the control layer between orchestration and execution becomes the dominant performance variable — invisible to standard metrics.
View PDF →Structural optimization of inference cost — identifying coupling-driven cost amplifiers in production inference paths.
View PDF →Why evaluation environments structurally diverge from deployment — and how that divergence compounds through inference economics.
View PDF →Case study in semantic collapse within agent architecture — structural failure analysis of a real-world meaning breakdown.
View PDF →Security failure as structural coupling failure — how interconnected system dependencies create invisible attack surfaces.
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