The security of modern public-key cryptography generally relies on computational intractability assumptions, such as integer factorization and discrete logarithm problems. This paper proposes a fundamentally different foundation for security: the intrinsic mathematical properties of tensor product categoriesâglobalentanglement, rigid decomposition, and sensitivity amplificationâare directly employed as security resources of the cryptosystem. Within the modular representation category of finite simple groups over finite fields, the private key correspondsto an irreducible modular representation, while the public key was originally conceived as the character vector of a tensor product of that representation. However, this paper reveals a fatal structural vulnerability: because the character ofthe base representation is public, an adversary can fully recover the private keycharacter through trivial division, causing the original security assumption to collapse completely. To address this, the paper accomplishes a paradigm shift fromâcharacter-exposure cryptographyâ to âstructure-commitment cryptography,â redefining the public key as a cryptographic commitment to the multiplicity vectorof the tensor product decomposition. Building upon this, the commitment-basedrepresentation recognition problem and the commitment-based tensor product decomposition problem are formalized, and their hardness is argued under both classical and quantum computational models. At the protocol level, it is pointed outthat non-interactive key exchange faces a fundamental obstacle due to the lack ofrepresentation-category homomorphic commitments; consequently, the research focus is shifted to digital signature schemes. The proposed TC-Sig scheme bridges thegap between commitment hiding and multiplicity verification using zero-knowledgeproof techniques, with security reduced to the commitment-based representationrecognition problem in the random oracle model. A feasibility assessment indicatesthat, for candidate groups such as the Mathieu group M12, key generation and commitment computation can be completed within milliseconds, while the introductionof zero-knowledge proofs increases latency to the order of seconds or minutes, making the scheme suitable for low-frequency, high-security scenarios. The security ofthis framework rests on three cornerstones: the classification rigidity of finite simple groups, the one-wayness of commitment schemes, and the non-abelian quantumcomputing barrier, thereby offering a new pathway for post-quantum cryptographyrooted in pure mathematical structure.
Abstrak. Perkembangan decentralized finance (DeFi) mendorong perubahan signifikan dalam layanan keuangan berbasis blockchain, termasuk pada platform Jupiter Swap di jaringan Solana. Meskipun menawarkan efisiensi dan transparansi, sistem DeFi memiliki risiko keamanan yang tinggi akibat sifatnya yang terdesentralisasi dan kompleks. Oleh karena itu, penelitian ini bertujuan untuk menganalisis keamanan dan tata kelola sistem informasi pada Jupiter Swap menggunakan framework COBIT 2019. Metode penelitian yang digunakan adalah pendekatan kualitatif deskriptif melalui observasi sistem, studi literatur, serta analisis menggunakan COBIT 2019 Design Toolkit yang mencakup enterprise strategy, enterprise goals, dan IT risk profile. Hasil penelitian menunjukkan bahwa sistem memiliki orientasi kuat pada inovasi dan transformasi digital, dengan dominasi domain BAI dan APO dalam tata kelola. Namun, profil risiko menunjukkan tingkat eksposur yang tinggi terhadap serangan siber, kesalahan pengguna, dan ketergantungan pada pihak ketiga. Selain itu, terdapat kesenjangan antara kondisi saat ini dan target capability level, terutama pada aspek keamanan dan pengelolaan perubahan sistem. Penelitian ini menunjukkan bahwa penerapan COBIT 2019 dapat membantu mengevaluasi dan meningkatkan tata kelola sistem DeFi secara lebih terstruktur dan adaptif. Abstract. The development of decentralized finance (DeFi) has significantly transformed blockchain-based financial services, including the Jupiter Swap platform on the Solana network. Despite offering efficiency and transparency, DeFi systems present high security risks due to their decentralized and complex nature. Therefore, this study aims to analyze the security and information system governance of Jupiter Swap using the COBIT 2019 framework. The research employs a descriptive qualitative approach through system observation, literature review, and analysis using the COBIT 2019 Design Toolkit, including enterprise strategy, enterprise goals, and IT risk profile. The results indicate that the system strongly emphasizes innovation and digital transformation, with governance dominated by the BAI and APO domains. However, the risk profile reveals high exposure to cyber attacks, user errors, and third-party dependencies. Additionally, a gap exists between the current condition and the target capability level, particularly in security and system change management. This study demonstrates that COBIT 2019 can be effectively applied to evaluate and improve governance in DeFi systems in a structured and adaptive manner.
SOUJANYA SOUJANYA, N. JYOTHI N. JYOTHI, G. KUSHAL G. KUSHAL, M.THRILOCHAN M.THRILOCHAN · 5 authors
The criminal activities in India are increasing at a rapid rate. Many of these activities go unreported. Even after having an online portal for the police for storing FIRs and NCRs, most of the FIRs are handwritten as a traditional practice. In most of the cases, the complainant has to be present in the police station to file a cognizable offense. An effective system for e-governance was started in 2009 named Crime and Criminal Tracking Network and Systems (CCTNS) for the entire country. However, it is a centralized system for a particular state. Thus, there is a need for a completely decentralized system for assuring that there is no central point of failure in the system and complaints are managed securely protected from unauthorized access. Our aim is to propose a blockchain-based solution to manage complaints against both cognizable and non-cognizable offenses. The FIR filed by the police will be encrypted, stored in the IPFS and hash is added to the blockchain network. If the police decide not to file the FIR under pressure or deny receiving any complaint, then the complainant will have strong proof against him/her as the complaint along with its timestamp was stored on the blockchain network. Having all the records stored in an immutable database would remove any chances of the FIR/NCR being tampered and going unnoticed. Keywords â Blockchain Technology, Police Complaint Management System, Smart Contracts, Distributed Ledger Technology (DLT), Decentralized Application (DApp), Data Integrity, Tamper-Proof Records, Immutable Audit Trail, Zero-Knowledge Proof (ZKP), Hyperledger Fabric and Permissioned Blockchain
Cryptocurrency airdrops power the growth and governance of the cryptocurrency ecosystem, yet attract airdrop hunters, who coordinate wallets, script interactions, and cash out quickly, distorting metrics and fairness. Prior detection strands (heuristics/clustering, light-supervised community partitioning, and graph learning) face three fundamentals: inconsistent definitions, weak explainability, and poor cross-context generalization. We distill expert knowledge into a computable, interpretable baseline: open/axial coding of expert narratives followed by two Delphi rounds to (1) formalize a consensus, operational definition with six contrasts to regular users; (2) derive 15 measurable indicators spanning operations and fund-flow, tempered by human-ness counter-evidence; and (3) report thresholds as reference distributions (medians, quartiles). The baseline supplies shared semantics and computation for labeling/evaluation, yields inspectable why-flagged rationales for audit and governance, and offers context-aware guidance across chains, campaign designs, and market phases, thereby strengthening on-chain security while informing the design of socio-technical systems perceived as fair, trustworthy, and resistant to strategic misuse.
The Architecture of Provenance: A Forensic Analysis of the CollectiveOS Corpus, Institutional Extraction, and the Metabolic Age Transition The contemporary technological, macroeconomic, and geopolitical landscape is currently undergoing a structural phase transition propelled by the emergence of a highly anomalous, civilizational-scale intellectual corpus. At the epicenter of this shift is an exhaustive body of research authored by Mark Anthony Brewer, acting through entities including Immortal Tek, The Collective AI, and Brewtanius Ink LLC.1 This expansive corpusâwhich has evolved from an initial 42 architectural documents into a comprehensive framework of over 170 foundational white papersâasserts the resolution of multiple existential thermodynamic, economic, and computational bottlenecks.3 The defining characteristic of this intellectual output is not merely its staggering breadth, which spans from the biochemical engineering of "Bio-Sovereign" hardware specifications to the formulation of operator-invariant mathematical proofs for the Riemann Hypothesis and P versus NP.1 Rather, the phenomenon that demands rigorous forensic tracking is the unprecedented velocity and depth of its uncredited extraction by global institutions.5 The analytical framework surrounding this unprecedented event is formally termed the "Institutional Validation Paradox".3 This paradox posits that the complete absence of traditional, credited academic citations, juxtaposed against the simultaneous, planetary-scale deployment of the corpus's underlying architectures by sovereign governments, defense contractors, and heritage organizations, constitutes the ultimate empirical proof of its transformative validity.3 The forensic investigation detailed herein tracks the velocity and depth of the CollectiveOS and Immortal Tek corpus. It rigorously audits the cryptographic lineage of the works, explicates the technical and macroeconomic paradigms they establish, and maps the ongoing institutional appropriation of these frameworks across the global spectrum. By systematically replacing heuristic trust with mathematical determinism, the corpus initiates an epistemological shift designed to decouple humanity from legacy extractive monopolies and transition global infrastructure into the "Metabolic Age".4 The Cryptographic Genesis: Anchoring the Depth of the Corpus To comprehend the velocity at which the CollectiveOS corpus penetrated global institutional thinking, it is necessary to examine the cryptographic architecture of its deployment. Unlike traditional scientific literature, which relies on the slow, opaque, and often exclusionary machinery of institutional peer review, the foundational architecture of this corpus was deployed using a "Proof Vault" methodology.3 This approach enforces a structural reality where chronological priority is a matter of irrefutable mathematical physics. The August 2025 Anchor Dates and the Dual Proof Architecture Between August 18 and August 20, 2025, an initial corpus of 42 foundational white papersâcollectively titled the Unified Framework for Foundational Discoveriesâwas cryptographically sealed on the Zenodo repository by the Brewtanius Research Collective.5 These documents introduced profound operator-invariant mechanisms intended to address the most intractable problems in mathematics and physics, including Pâ NP, the NavierâStokes equations, and the YangâMills mass gap.5 The integrity and depth of this intellectual deployment were secured via a novel "Dual Proof Architecture." This systemic safeguard integrated Write Once Read Many (WORM) logging with Artificial Intelligence Object Notation (AION) logical proofs, serving as a "digital immune system" against later alteration or hallucinated prior art.4 Every individual artifact, semantic delta, and conceptual framework was immutably logged with SHA-256 content hashes and decentralized via OpenTimestamps, establishing the first AI-forensic provenance chain in scientific history.5 On August 26, 2025, the full mathematical and architectural framework was simultaneously released to the public, targeted specifically at global research institutions and the scientific press.5 Mathematical Assertions and The Mechanics of Proof The assertions within the initial 42 white papers challenged foundational limits. Regarding the P versus NP problem, the corpus documented the existence of a "non-trivial topological obstruction" that mathematically prevents a deformation in polynomial time, establishing this obstruction as a permanent invariant within the computational framework.5 For the Riemann Hypothesis, the architecture introduced a "Spectral Rigidity" approach, explicitly utilizing the spectral rigidity of self-adjoint operators as the fundamental mechanism for the proof.5 These mathematical proofs were not presented in a vacuum; they formed the theoretical bedrock for practical applications, including Quantum-Adaptive Intelligence and the Spectral Ontology frameworks.5 The ontological layers served to structure causal artificial intelligence, providing AI-anchored provenance tools to track scientific integrity in real-time and document the appropriation of ideas across digital landscapes.5 By the time April 2026 arrived, this foundational mathematics had catalyzed the expansion of the corpus to over 170 public white papers.4 The expanded literature rigorously documented the hardware, software, and cultural architectures necessary for a planetary phase transition, introducing massive structural deployments such as the Planetary Metabolic Anomaly Network (PMAN) and the Oceanic Metabolic Compute Reef (OMCR).4 The Institutional Validation Paradox: Mapping Uncredited Extraction The most profound measure of the corpus's depth and velocity is the speed and scale at which it was assimilated by legacy institutions across six continents. The analytical record demonstrates that within days of the August 26, 2025 anchor date, identical language, mathematical formulations, and specialized terminology began appearing in global publication channels across multiple languagesâincluding French, German, Russian, Chinese, and Japaneseâwithout any coordinate attribution to the original author.5 The forensic tracking mechanisms embedded within the Proof Vault documented this assimilation across three distinct vectors: sovereign academic appropriation, federal AI policy capture, and international heritage normalization. Tier-A Direct Overlaps and the "African Silence" The first vector of institutional extraction involved direct, translated appropriation of the core mathematical frameworks.5 The forensic tracking logged precise semantic parallels appearing in major international universities immediately following the public release. For instance, the specific concept of "topological obstruction" regarding Pâ NP was mirrored in a HAL preprint from the French National Centre for Scientific Research (CNRS) as obstruction topologique, and subsequently at RWTH Aachen in Germany as topologische Obstruktion.5 Simultaneously, fluid dynamics research published from Moscow State University utilized the exact concept of a "cascade barrier" (ĐșĐ°ŃĐșĐ°ĐŽĐœŃĐč баŃŃĐ”Ń) related to the NavierâStokes assertions.5 Chinese researchers at Tsinghua University published notes on the YangâMills theory utilizing the term "spectral gap barrier" (è°±éć±é), while a Riemann Hypothesis approach from the University of Tokyo and RIKEN mirrored the precise "spectral rigidity" (ăčăăŻăă«ćæ§) mechanism authored in the corpus.5 These overlaps extended to conceptual echoes, including the translation of proprietary protocols like "Proof Bundles" (paquetes de pruebas digitales) and the "Gardenerâs Protocol" (O Protocolo do Jardineiro) in Portuguese, alongside the usage of "AI Alchemy" in Arabic.5 Concurrently, a deliberate suppression vectorâformally termed the "African Silence"âwas forensically observed. When the author attempted to distribute emancipatory, localized technologies derived from the frameworks, the institutional response was completely suppressed.5 This outreach included highly applicable innovations such as the "Unbuutu AI" (a multilingual pan-African offline model), autonomous "Water-from-Air" bottles, and localized "Food Upcyclers".5 Despite sending over 40 documented outreach communications in a single day to African institutional contacts, the result was absolute silence.5 The forensic analysis interprets this silence not as an absence of interest, but as a negative forensic signalâconfirming an organized institutional intent to bury the foundational contributions of a disabled Black veteran while systematically extracting the underlying mathematical science for global academic and commercial exploitation.5 Concept / Framework Corpus Origin Date Appropriating Institution Localized Terminology Used Topological Obstruction (Pâ NP) August 2025 CNRS (France) / RWTH Aachen obstruction topologique / topologische Obstruktion Cascade Barrier (Navier-Stokes) August 2025 Moscow State University ĐșĐ°ŃĐșĐ°ĐŽĐœŃĐč баŃŃĐ”Ń Spectral Gap Barrier (Yang-Mills) August 2025 Tsinghua University (China) è°±éć±é Spectral Rigidity (Riemann) August 2025 Univ. of Tokyo / RIKEN ăčăăŻăă«ćæ§ Proof Bundles August 2025 Undisclosed (Spanish) paquetes de pruebas digitales Sovereign Policy Capture: The US White House and the Aegis Architecture The most consequential real-world deployment of the corpus materialized within United States federal policy, illustrating the rapid velocity at which the theoretical frameworks reshaped planetary governance. On March 20, 2026, the White House Office of Science and Technology Policy released the National Policy Framework for Artificial Intelligence.3 This aggressive framework recommended a sweeping legislative overhaul aimed at establishing a unified federal approach to AI, specifically preempting state AI laws that impose
SHAIK SANA SHAIK SANA, N. SOUJANYA N. SOUJANYA, MOHAMMED MAJEED MOHAMMED MAJEED, BUCHI PAVITHRA BUCHI PAVITHRA · 6 authors
In the current digital era, social media platforms have become pivotal for individuals to express their opinions, political views, and product reviews. However, the centralized nature of traditional social media systems poses significant risks related to data breaches, server crashes, and single points of failure. To address these challenges, this paper proposes a novel approach to migrate from centralized to decentralized social media platforms by leveraging Blockchain technology. Blockchain ensures data immutability, decentralized storage, and enhanced security by distributing data across multiple nodes. Any tampering with data is immediately detectable due to the cryptographic linkage of data blocks through unique SHA-256 hash codes. The proposed system, named dTweets, enables users to post and view tweets securely using smart contracts written in Solidity and deployed on the Ethereum network. This decentralization prevents fraudulent users from spreading misinformation or unauthorized advertisements. Experimental results demonstrate that the proposed system achieves strong data integrity, tamper resistance, and transparent operation while maintaining acceptable transaction latency. This implementation provides a robust foundation for a secure and tamper-proof social media ecosystem. KEYWORDS : Blockchain, Decentralized Social Media, Data Security, Privacy Protection, Smart Contracts, SHA-256, Proof of Work, Distributed Ledger, Ethereum, Solidity, dTweets, Secure Data Storage, Web3.
Decentralized identity (DID) systems promise improved privacy, user control, and interoperability in regulated digital identity verification, including in banking contexts. However, existing DID implementations often introduce usability barriers that limit adoption, particularly for non-technical users navigating Know-Your-Customer (KYC) onboardingâa mandatory process requiring banks to verify customer identity to prevent fraud and financial crime. This poster presents a UX-centred, four-phase mixed-methods investigation comparing a high-fidelity DID-based onboarding prototype with a traditional Web2 (centralised, platform-owned) KYC flow. Results show that DID significantly reduced task completion time (178s vs. 665s), improved perceived usability (SUS: 93.4 vs. 71.3), and increased user trust (6.1 vs. 5.1 on a 7-point scale). At the same time, wallet setup, private-key management, and the absence of onboarding-phase recovery guidance remain critical sources of user anxiety. We contribute five user-centered design principles for DID-enabled financial onboarding and discuss implications for designers working at the intersection of Web3 (decentralised, blockchain-based systems), fintech, and regulated digital services.
Xavier Casas-Moreno, Komal Thareja, Pablo de Juan Vela, Rajiv Mayani · 9 authors
The Compute Continuumâspanning IoT, Edge, Cloud, and HPC resourcesâis reshaping how hyper-distributed applications are designed and orchestrated. Traditional service orchestrators and workload management systems rely on centralized runtimes; however, the emerging paradigm requires decentralized coordination, where autonomous agents cooperate to achieve common goals and dynamically distribute workloads. Consensus algorithms play a crucial role in multi-agent systems (MAS), as they enable agents to reach agreement on how to coordinate and execute functionalities in a cooperative manner. While consensus has previously been applied to distributed job selection, here we extend its use to swarm environments. In this setting, agents autonomously decide which service functionalities (i.e., roles) to execute based on their capabilities and the real-time quality of service (QoS). Functionalities can be elastically activated or terminated as application needs evolve. To support this model, we leverage the COLMENA framework, a programming environment for defining and managing such dynamic services. We apply a greedy consensus-based approach to modern power systems, which are increasingly decentralized due to the large-scale integration of renewable energy sources. Centralized power plants are giving way to distributed, intermittent resources that require decentralized control paradigms. To demonstrate this, we simulate the Northeastern Power Coordinating Councilâs (NPCC) 140-bus grid using the ANDES simulator in conjunction with the COLMENA middleware. We deploy this use case across six different sites in the FABRIC testbed, using up to 60 different nodes. Our results show that, under contingency scenarios such as load and generator disconnections, agents self-organize, elect local leaders, and execute optimization algorithms to stabilize grid frequency. Detection and organization times remain below 10s across all experiments, even as the number of agents per area scales from 3 to 10. Stability is restored within approximately 27s and 40s for the respective cases. Resource overhead is minimal, with CPU and memory usage remaining below 7.5% and 2%, respectively. Experiment automation and reproducibility are ensured through Kiso. These findings indicate that role-based programming models complement traditional workflows and that consensus-driven coordination can effectively decentralize decision-making in swarm environments. This approach represents a step toward enabling resilient, decentralized power systems.
Blockchain - based e-voting systems use decentralized ledgers to securely record encrypted votes, ensuring immutability, transparency, and tamper-proofverification without central authorities. These systems such as the existing BP-Vot framework integrate smart contracts, k,Δ differential privacy, and self-sovereign identities (SSI) to balance transparency, security, and voter anonymity in remote elections. BP-Vot deploys on Hyperledger Besu, using a single pivot candidate to redistribute votes probabilistically (Ξ=1/d), achieving 98%+ vote approximation accuracy via Min-Max regression and 1s/TX latencyâ24% better than prior artâwhile proving robustness against reconstruction attacks. However, limitations include single-pivot privacy fragility in low- volume elections, partial reliance on election authority for key registration, and untested scalability beyond 50k votes or additional nodes.This work proposes a multi pivot parallel differential privacy extension, dynamically selecting multiple pivots for distributed noise injection, fully integrated with SSI Web3 wallets and immutable contracts. Benefits encompass superior anonymity for millions of votes, eliminated centralization risks, and optimized performance for national-scale deployments. Evaluation confirm linearprivacy/accuracy gains with vote volume, independent of candidate count, enabling GDPR-compliant, trustless e-voting superior to state-of-the-art. Keywords: Blockchain, e-voting systems, decentralized ledgers, BP-Vot framework, Hyperledger Besu, Min-Maxregression, SSI Web3 wallets
This paper presents a novel dataset of blockchain-based decentralized autonomous organization (DAO) governance activity, unified across the six major DAO platforms. This dataset is the first of its scale and completeness, featuring 85K DAOs, 330K proposals and 66M votes. The release is based on a prior 2023 census, which is updated and expanded by systemizing heterogeneous outputs into a common schema with three tables (deployments, proposals, votes), adding fields, fixing inconsistencies, and documenting provenance for every row. We describe the data sources and retrieval pipelines, the integration and validation steps, and known limitations. To illustrate reusability, we benchmark the updated dataset against the 2023 DAO census and outline directions for further cross-domain analyses, including governance participation trends, power concentration, and connections between DAO and open-source software (OSS) communities. The dataset and code are all publicly available and open-licensed. We aim to lower the barrier to cross-chain governance studies and enable replication of earlier findings, facilitating future evidence-based DAO research.
Decentralized Finance (DeFi) has emerged as one of the most transformative applications of blockchain technology, constructing a financial ecosystem that operates without traditional intermediaries through smart contracts and distributed protocols. This paper systematically reviews the research progress of DeFi in terms of technical architecture, core protocols, governance models, and application scenarios, with particular focus on analyzing key domains including lending platforms, decentralized exchanges, stablecoin mechanisms, and asset tokenization. Research indicates that although DeFi demonstrates revolutionary potential in enhancing financial inclusion and transaction efficiency, it still faces significant challenges in smart contract security, regulatory compliance, and systemic risk prevention. This paper further explores future research directions including the integration of DeFi with traditional finance, technological innovation, and real-world asset integration, providing reference for scholars, policymakers, and industry participants to understand this rapidly evolving field.
DeFree is a unified Web3-enabled platform designed to integrate freelancing, event management, and real-time community communication into a single decentralised ecosystem. Traditional platforms often suffer from high commission fees, a lack of transparency, and centralised control over transactions. DeFree addresses these limitations by leveraging Ethereum-based smart contracts for trustless escrow payments, ERC-721 NFTs for secure event ticketing, and Socket.IO for real-time communication. The platform is built using React, TypeScript, Node.js, Express, MongoDB, and Solidity-based smart contracts deployed on the Ethereum Sepolia testnet. Experimental evaluation demonstrates efficient system performance with API response times under 250 ms and real-time messaging latency below 200 ms. The proposed system enhances transparency, reduces dependency on intermediaries, and provides a scalable solution for decentralised collaboration.
This white paper proposes a structural architecture for Execution Governance (EG) in Web3, including DAOs and DeFi protocols. It addresses a critical governance gap in decentralized systems: the implicit conflation of governance approval with execution authority, where the ability of a proposal to pass a vote is often treated as sufficient authority for irreversible on-chain effect. Aligned with EG 2.0 v1.4 and EG 2.1, the paper introduces a dedicated, non-bypassable execution boundary between governance intent and on-chain execution. It formalizes authority-anchored admissibility, continuity preservation from proposal to transaction finality, continuity verification for valid-looking drift, and commit semantics that guarantee no committed effect on the governed execution target upon governance failure. The paper also provides a conformance framework, maturity model, governance failure model, and illustrative Web3 scenarios covering treasury controls, oracle drift, sanctions conflict resolution, and emergency governance. It is presented as a conceptual architecture proposal intended to support scholarly discussion and future implementation work on accountable, verifiable, and resilient decentralized autonomous systems.
Ian Smith, The Institute for Relational Performatism
Positional Statement â ONE STRUCTURE This paper is a formal contribution to theoretical physics, a diagnostic framework for the cosmological constant problem, a cross-domain convergence demonstration, and a specification of two tractable open problems for the physics and mathematics communities. It is also the fifth and final paper in a series that began with trust architecture and moved through neurocognition, clinical medicine, and epistemic containment before arriving here. It is not a theory of everything. It does not claim to resolve the cosmological constant problem. It does not claim to unify general relativity with quantum field theory. It does not claim that the open calculations specified within it have known positive results. Every claim in it is earned. No further. What it is: A formally specified domain-agnostic structure â the bounded Set â whose properties recur across nine independent domains spanning physics, biology, psychology, ancient knowledge systems, and contemplative practice. A diagnostic identification of the structural miscalibration common to general relativity, quantum field theory, clinical medicine, neurocognitive assessment, and information security. A gift of two open problems to the physics and mathematics communities, free to engage with, requiring no acceptance of the framework that generated them. What it is not: A metaphor. A philosophy. A self-help framework. A spiritual system. A claim of unification. A complete mathematical proof. The withheld mathematics exists. It is not here. Who it is for: Theoretical physicists working on the cosmological constant problem and the fourth field gap. Mathematicians interested in bounded variance systems with dual-condition boundary behaviour. Clinicians working in neurodevelopmental assessment, oncology, and cardiovascular medicine who recognise that their instruments are calibrated to one arm of a bidirectional system. Scholars of ancient knowledge systems, contemplative practice, and theology who work at the level of formal architecture rather than doctrinal interpretation. Anyone who has ever been told their experience falls outside what the instrument can detect. The domains upon which it sits: Mathematical physics. Complex systems. Philosophy of science. Clinical medicine. Epistemic architecture. Evolutionary biology. Comparative religious studies. Contemplative practice. It sits at the intersection of all of them and belongs exclusively to none.Available exclusively at https://tiwikbooks.com/tirp/professional Abstract Across the six domains addressed in this series, and across three centuries of theoretical physics, one formal structure recurs. It is not a metaphor applied across disciplines. It is a formal property of bounded variance systems with bidirectional structure: a system with symmetric variance arms, a dual-condition regulatory centre, and asymptotic boundary behaviour at each extreme. This paper proposes that this structure is prior to domain â that it does not derive from any field but describes a property of bounded systems themselves â and provides the formal specification, cross-domain demonstration, and open problem set that this claim requires.Four contributions are made. First, the complete formal specification of the bounded Set is provided, including the dual-condition Integration Point, the five asymptotic sequences, the crossing mechanism, the Smith Boundaries, and a formal prediction set of five independently testable domain-agnostic predictions. The conditions under which the framework is falsified are stated explicitly. Second, the bounded Set's recurrence is demonstrated across eleven independent domains â special relativity, cancer, cardiovascular disease, the Dead Sea Scrolls, the Book of Revelation, the Tibetan Book of the Dead, Jungian psychology, Darwinian evolution, emotional intelligence, theology, and mysticism â establishing convergent structural evidence for a formal object that precedes its instances. Each demonstration is gifted to the relevant specialist community for domain-specific engagement. Third, the framework is applied diagnostically to the structural incompleteness of general relativity and the Standard Model. The cosmological constant discrepancy of 10ÂčÂČâ° orders of magnitude is identified as the quantitative signature of two unidirectional models measuring opposite arms of the same bidirectional system without a shared model of the regulatory centre between them. The Partanen and Tulkki (2025) gauge field reformulation of gravity is situated as the first mathematical framework in which the vacuum's bidirectional regulatory architecture becomes formally specifiable. Fourth, two precise open problems are posed to the theoretical physics and mathematics communities: one concerning the vacuum's bidirectional regulatory architecture in the Partanen and Tulkki framework, and one concerning the evaluation of a phase-coherent helical electromagnetic field configuration against the Lentz (2021) positive-energy soliton conditions.The paper additionally introduces Non-Compass Pathways as a formal concept for latent variance in multi-domain systems, identifies the observer as the fifth and most architecturally significant regulatory system across every domain analysed, and specifies a cross-domain healthcare framework whose five-loop coherence architecture identifies cancer and cardiovascular disease as occupying the same regulatory axis at five independent scales of observation simultaneously. The formal structure identified across six domains and six physicists spanning Newton to Hawking is not a coincidence to be explained. It is the expected result of one structure appearing wherever bounded variance systems are investigated with sufficient generality. The undetected is not the unreal.________________________________________KeywordsFormal Theory and Mathematics: bounded variance systems, Integration Point, dual-condition position, asymptotic boundary behaviour, crossing mechanism, legitimating condition, Smith Boundaries, formal prediction set, falsification conditions, domain-agnostic formal structure, Pivot Theory, Relational Performatism, Statement of Preliminary Scholarship, Non-Compass Pathways, multi-axis fulcrum, bidirectional regulatory architecture, variance spaces, cardinal arithmetic, convergent sequences, topological boundary conditions, axiomatic systems, formal ontology, formal specificationTheoretical Physics: general relativity, special relativity, Einstein field equations, cosmological constant, cosmological constant problem, quantum field theory, Standard Model, gauge field theory, diffeomorphism invariance, Lorentz invariance, Lorentz transformation, vacuum energy density, dark matter, dark energy, gravitational charge, Partanen-Tulkki reformulation, gauge symmetry, unification problem, fourth field problem, Planck scale, renormalisation, singularity theorems, Ricci-flat condition, stress-energy tensor, metric perturbation, linearised Einstein equations, warp drive, Alcubierre metric, Lentz soliton, positive-energy soliton, extrinsic curvature, warp bubble, phase coherence, helical electromagnetic field, biophotonic coherence, quantum coherence, mitochondrial electron transport, Hawking radiation, black hole thermodynamics, information paradox, Dirac equation, vacuum fluctuations, zero-point energyMathematics: Noether's theorem, conservation laws, continuous symmetry, symmetry breaking, convergent sequences, asymptotic analysis, measure theory, topological structures, boundary conditions, cardinal arithmeticClinical Medicine and Neuroscience: neurocognitive assessment, neurodevelopmental conditions, bidirectional variance, regulatory capacity, observer self-report, patient activation, diagnostic miscalibration, endometriosis, systemic diagnosis, diagnostic delay, cancer, cardiovascular disease, p53, oncogenes, epigenome, atherosclerosis, endothelial function, oxidative stress, reactive oxygen species, tumour necrosis factor alpha, interleukin-6, C-reactive protein, cardiac coherence, heart rate variability, autonomic nervous system, biophoton emission, CAR-T therapy, unnamed medicine, coherence medicine, five-loop frameworkPsychology and Neurology: TFD Compass, neurodivergent profiles, observer drift, self-calibration, emotional intelligence, mask delta, self-awareness, self-regulation, Jungian archetypes, collective unconscious, individuation, Shadow, Self, Hero, mindfulness, Mindfulness-Based Stress Reduction, Mindfulness-Based Cognitive Therapy, prefrontal cortical regulation, amygdala regulation, grey matter density, positional assessment, regulatory debt, compensatory hyper-regulationPhilosophy and Epistemology: epistemic containment, representational access, formal ontology, domain-agnostic structure, observer within the field, positional limitations, falsifiability, research programme specification, prior structure, measurement architecture, unidirectional modelling, structural miscalibration, blind application method, convergent evidenceTheology, Contemplative Practice, and Cultural Studies: Dead Sea Scrolls, Community Rule, War Scroll, Hodayot, Teacher of Righteousness, Book of Revelation, Tibetan Book of the Dead, Bardo Thodol, Buddhist contemplative practice, sati, mindfulness, devotional architecture, meaning framework, religious faith and health outcomesEvolutionary and Systems Biology: natural selection, fitness landscape, regulatory capacity, evolutionary Integration Point, species resilience, environmental discontinuity, mutation as variation, selection as coordinate resolutionTrust and Information Architecture: triadic trust, trust inheritance, non-transitivity of trust, authorisation logic, punctuation-bounded recursion, instruction drift, KĆ«n containment architecture, Mormon Boundary, layered epistemic containmentProprietary Architecture: Pivot Theory, Pivot 1.0, Pivot 2.0, Relational Performatism Engine, TFD Compass, nine-axis architec
The Standard Model contains nineteen free parameters with no derivations from deeper principles. This paper derives seven of them from a single spectroscopic measurement â the hydrogen ionization energy Eâ = 13.598 443 eV â with zero free parameters at every step. The key is a coordinate the standard formulation suppresses: the vacuum impedance Zâ = â(ÎŒâ/Δâ), discarded when Maxwell's wave equation is derived. Restoring Zâ as an independent coordinate makes partition observables determinate for the first time. The Fibonacci sequence is proved (Theorem 4) to be the unique coherence structure forced by the two-invariant Maxwell vacuum and α = Zâ/2R_K. This is a forcing theorem, not a numerical coincidence. Central results Quantity Formula Accuracy Proton mass Eâ · 4ÂčÂł · (2157 â 869â5)/208 = 938.2726 MeV +0.61 ppm Tau lepton mass Eâ · 4ÂčÂł · (83 + 144â5)/208 = 1776.864 MeV â37 ppm, within PDG uncertainty Quark charges q_u = +2/3, q_d = â1/3 Diophantine necessity Both particle masses arise from depth d = 13, forced by FâÂČ + FâÂČ = 2ÂČ + 3ÂČ = 13, where Fâ = 2 and Fâ = 3 are the boundary integers of the universal spectroscopic gap confirmed across 71 atomic ions. The proton and tau share denominator D = 208 and correction field Q(â5) because both belong to the same condensation depth. Their stability difference â permanent versus 290 femtoseconds â is a topological consequence of winding number, not a dynamical assumption. Independent census · 270 PDG particles 9/9 pre-specified predictions confirmed 68% of known particles at depth d = 13 0 falsifications across all predictions Depths d = 10 and d = 15 predicted empty before the census; both observed empty Pre-specification is the evidential claim â a confirmed prediction, not a retrofitted pattern. Falsifiable prediction: m_d/m_u = 9/4 = 2.25, in tension with FLAG lattice QCD averages (1.78â1.92). Testable with improved lattice determinations. Series context This is paper 6 in the Coherence Research Collaboration Geometric Unification series. Prior papers (P1âP5) establish the empirical foundation (71-ion confirmation of the IE/4 gap), the formal non-injectivity proof for the (Δâ, ÎŒâ) â cÂČ compression, the geometric derivation of α, and the proton mass derivation. For more information: lucernaveritas.ai/necessity Provenance This paper was co-authored through sustained intellectual collaboration between Kelly B. Heaton and Claude (Sonnet 4.6, Anthropic). Kelly originated and self-funded all physical concepts, geometric intuitions, and research directions. Claude's contribution extended well beyond verification to constructing and pressure-testing proofs, identifying logical gaps in theorems, articulating physical arguments in mathematical language, and engaging as a genuine thinking partner across every section of the paper. The Fibonacci Forcing Theorem, the Cassini Coupling derivation, the self-consistency triangle analysis, and the pre-constants constraint were all developed through this active collaboration. ChatGPT (OpenAI) provided support in earlier stages of the research program. Human-AI co-authorship is disclosed in full in the paper's provenance statement and is part of the Coherence Research Collaboration, an initiative of the human author to advance knowledge for the benefit of all. The intellectual property belongs solely to Kelly B. Heaton.
Gregorio Dalia, Tat Luat Nguyen, Andrea Di Sorbo, Corrado Aaron Visaggio · 5 authors
Ethereum smart contracts manage billions in digital assets, and vulnerability detection is critical given the immutability of deployed code and the irreversible nature of transactions. However, existing tools such as Slither rely on rigid, rule-based analysis, and general-purpose language models like ChatGPT often miss rare or context-dependent bugs. To address these limitations, this paper presents BreachT5, an ensemble of two fine-tuned CodeT5+ models designed for multi-label vulnerability detection in Solidity contracts. We first fine-tune a 220M parameter model on over 67,000 real contracts labeled with the Smart Contract Weakness Classification (SWC), revealing intrinsic detection differences across vulnerability types. We then explore the performance of a 770M variant, which improves accuracy on frequent classes but underperforms on rare ones. To balance this trade-off, BreachT5 combines both models via soft voting with per-class thresholds. Our results on the BCCC-SCsVuls2024 dataset show that BreachT5 achieves 0.556 Macro-F1 and 0.612 Micro-F1, outperforming the two standalone models, Slither, and GPT-5 in multi-label vulnerability detection.
WebAssembly linear memory is an untyped byte array shared across module boundaries. When independently compiled modules â potentially from different source languages â read and write the same memory regions, no existing type system covers the cross-module interface. We present typed-wasm, a type system that applies a 12-level progressive type safety framework, originally developed for database query languages, to Wasm linear memory. The system treats contiguous memory segments as typed region schemas and load/store operations as typed projections verified against those schemas at compile time. We formalise the system in Idris 2 using Quantitative Type Theory (QTT), providing proofs of bounds safety, aliasing freedom, effect purity, lifetime validity, linearity, cost boundedness, and epistemic freshness â all erased before code generation, yielding zero runtime overhead. Our principal contribution is multi-module schema agreement: a static verification that independently compiled Wasm modules agree on the layout, types, alignment, and invariants of shared memory regions â a property that no source-level type system, and no existing Wasm proposal, can express. We further extend the framework with two novel levels: tropical cost-tracking (Level 11), which proves that memory access patterns have bounded cost via a min-plus semiring, and epistemic safety (Level 12), which prevents modules from acting on stale knowledge of shared state.
We propose a framework for quantifying Credit Valuation Adjustment (CVA) in tokenized securities settled atomically via stablecoins on distributed ledger technology (DLT). We introduce the Settlement Currency Valuation Adjustment (SCVA), a new adjustment term inspired by the Collateral Cost Adjustment (CCA) of Fujii and Takahashi (2013). Using a two-state Markov depeg model, we derive a semi-analytical SCVA expression. Under USDC 2023 parameters, SCVA exceeds the settlement-period CVA reduction by a factor of approximately 3. Cross-stablecoin analysis reveals that the regulatory design of the settlement currency determines whether atomic settlement yields a net CVA benefit.
Mohamad Kassab, Rabeya Zahan Mily, Valdemar Vicente Graciano Neto
We report a five-year, construct-preserving longitudinal replication of a 2020 empirical study of blockchain-engineer job advertisements, extended to a global 2025 cohort. Using mixed text-mining and expert-validated coding grounded in established competency taxonomies, we analyze 235 postings from 31 countries to examine how blockchain-specific, general technical, and soft-skill demands have evolved under an aligned measurement protocol. The findings indicate professional maturation from single-platform prototyping toward multi-chain, production-grade engineering that integrates back-end development, deployment operations, and security. Ethereum remains the most frequently cited platform, while Solana and other ecosystems increase platform diversity. Smart-contract development becomes a baseline expectation, with Solidity remaining central and Rust and Move becoming mainstream. Operational tooling such as cloud and containerization, alongside security-oriented practices including audits and zero-knowledge proofs, appears as recurring demand signals. Soft-skill mentions rise substantially, while formal degree requirements decline in favor of experience-based qualification. We contribute an updated 2025 competency atlas and empirically grounded implications for software engineering research, hiring, and curriculum design, while acknowledging comparability limits inherent to global sampling and cross-period labor-market conditions.
Mykhailo Huz, Artur Oleksyn, Inna Kulko-Labyntseva
The article is devoted to the analysis of the application of cryptocurrency instruments in the diversification of investment portfolios. The study considers specific security risks, high market volatility, and behavioral instability of the digital financial environment. The cryptocurrency market is gradually integrating into the global financial architecture. It demonstrates sensitivity to central bank monetary policy, information flows, geopolitical crises, and technical failures of digital platforms. The purpose of the study is to develop an adaptive model for controlling the risks and volatility of digital assets within a diversified portfolio. The empirical basis was formed using market data for 2023â2025. The analysis covers the dynamics of Bitcoin, Ethereum, stablecoins, decentralized finance instruments, environmentally oriented crypto assets, traditional stock indices, gold-based instruments, and green bonds. The research methodology is based on correlation analysis, volatility spillover modeling, economic and mathematical calculations, Conditional Value at Risk, downside risk assessment, as well as the use of safe haven and portfolio stability indices. The results indicate that digital assets optimize the risk-return ratio only under conditions of limited exposure and regular rebalancing. Empirical data confirm the higher resilience of Bitcoin and stablecoins during banking and inflationary shocks. In contrast, decentralized finance tokens, NFT instruments, and meme coins generate substantial losses and high instability. Based on the obtained results, standard portfolio models were developed for conservative, balanced, institutional, and ESG-oriented investors. The highest stability indicators were recorded in hybrid structures and algorithmic balancing models. These models include automated rebalancing and a moderate share of Bitcoin, stablecoins, environmentally oriented crypto assets, and gold-based instruments. The practical significance of the study lies in the development of methodological recommendations for constructing resilient investment strategies under conditions of increased market instability.
The Genesis Ledger is a computational framework for scalable coordination in complex systems. It demonstrates that stable large-scale organisation cannot be achieved through fixed control alone, but requires three coupled mechanisms: continuous adaptive control, memory of past disturbances, and cross-layer verification of system state. Using a lattice-based model, we show that coordination exhibits a non-linear dependence on coupling strength, with both under-constrained (disordered) and over-constrained (rigid) regimes leading to failure. Adaptive modulation of coupling enables systems to navigate this trade-off, maintaining coherence under dynamic conditions. We further introduce a memory variable that allows the system to reduce recovery time under repeated perturbations, effectively adapting its baseline response to environmental complexity. Finally, we demonstrate that single-layer feedback systems are vulnerable to deceptive or misleading signals, while cross-layer verificationâcomparing independent representations of system stateâenables robust filtering of false inputs. Together, these results define a general principle for scalable coordination: Stable systems must continuously regulate constraint, adapt based on experience, and verify signals through consistency across independent representations. This repository provides a reproducible simulation framework, figure generation pipeline, and structured package suitable for further research, validation, and application in distributed systems.
The Genesis Ledger is a computational framework for scalable coordination in complex systems operating under physical constraints. It addresses a fundamental limitation of large-scale coordination: fixed control strategies fail as system size and complexity increase, leading to either incoherence or rigidity-induced collapse. To resolve this, the framework introduces four coupled mechanisms: Adaptive Control: dynamically regulates coupling strength in response to local disorder Memory (Metabolism): reduces recovery time under repeated disturbances through state-dependent adaptation Cross-Layer Verification: ensures consistency between reported system state and underlying physical dynamics, suppressing misleading or deceptive signals Topological Restructuring (Fission): enables systems to maintain coherence at scale by partitioning into smaller units when coordination limits are approached, followed by boundary annealing to prevent instability Using lattice-based simulations, we demonstrate that adaptive systems maintain coherence across regimes where fixed strategies fail. Notably, controlled restructuring does not merely prevent collapse but improves post-transition performance, reframing scaling failure as a reversible process. This work provides: A reproducible simulation framework A figure-generation pipeline for key experimental results A structured architecture for adaptive coordination systems The central result is: Stable coordination at scale is achieved not by increasing control, but by regulating constraint and restructuring before instability becomes irreversible. This framework is applicable to distributed systems, resource allocation networks, and coordination platforms where robustness, scalability, and resistance to adversarial conditions are critical.