This technical disclosure describes a system and method for detecting vulnerabilities in smart contracts using semantic vector embeddings that compare code patterns against a curated database of historical blockchain exploits. Unlike traditional code similarity approaches that match syntactically similar code, the disclosed system performs exploit-centric similarity matching, identifying code that is semantically similar to previously exploited patterns even when syntactically different. The system incorporates attack mode classification, economic impact estimation, and cross-contract analysis to provide comprehensive vulnerability assessment. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches while preserving trade secret protection for specific implementation details.
This technical disclosure describes advanced defence mechanisms for smart contracts including temporal displacement patterns, quantum-inspired uncertainty principles, and recursive trap architectures. The disclosed techniques create unpredictable defensive behaviours that resist analysis and exploitation. Temporal patterns introduce time-based variations in contract behaviour, quantum-inspired mechanisms create measurement-dependent state changes, and recursive patterns enable self-modifying defence structures. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches.
This technical disclosure describes methods for defending smart contracts against automated analysis tools through intentional semantic incoherence. The disclosed techniques include state incoherence patterns, behavioural incoherence mechanisms, structural incoherence implementations, and signal pollution strategies. These methods cause automated analysis tools to malfunction when attempting to analyse protected contracts, providing a novel defensive layer against reconnaissance and attack planning. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches.
This study aims to analyze the role of cryptocurrency investment in optimizing the performance of a portfolio comprising traditional assets, such as stocks, foreign exchange, and gold. This quantitative research employs the Markowitz Mean-Variance Optimization model and Sharpe ratio analysis. The data used consist of monthly closing prices from January 2019 to December 2024 for three cryptocurrencies (BTC, ETH, and XRP), three banking stocks (BBCA, BBRI, and BMRI), three foreign exchange pairs (USD/IDR, EUR/IDR, and GBP/IDR), and gold. A comparison was made between an optimal portfolio without a cryptocurrency and an optimal portfolio with a cryptocurrency. The results indicate that the inclusion of cryptocurrency significantly increased the portfolio's expected return from 14.07% to 32.08%. This increase was accompanied by a rise in risk (standard deviation) from 11.39% to 19.49%. However, portfolio efficiency improved dramatically, as evidenced by the Sharpe ratio surging from 70.89% to 133.83%. In both scenarios, gold consistently played a dominant role as a stabilizing asset in the portfolio. It is concluded that, during the study period, cryptocurrency served as a significant return enhancer and efficiency booster in the investment portfolio.
For over a century, centrioles have been defined by their role as architects of the mitotic spindle. This review synthesizes contemporary evidence to propose a paradigm shift: centrioles are strategic timekeepers of the cell. They function not as simple clocks but as custodians of cellular time, encoding a history of divisions and stresses through accumulating post-translational modifications and proteomic changes. This molecular archive, stored on one of the cell's most stable structures, is subsequently interpreted by the cell via mechanical, signaling, and proteostatic pathways to dictate fundamental fate decisions—proliferation, differentiation, senescence, or apoptosis. This centriolar timekeeping function operates across a hierarchy, interacting with circadian oscillators, telomeric and epigenetic clocks, and crucially influencing organismal aging through its role in stem cell fate and asymmetric division. We develop an integrative "Centriolar Timeline" model, describing how the accrual of neutral (maturity) and pathological (damage) marks directs cellular trajectories. This model positions the centriole as a unique bio-physical interface that transforms linear chronological time into non-linear biological fate. Re-conceptualizing centrioles as central processors of temporal information has profound implications for understanding development, aging, and diseases like cancer, and suggests novel therapeutic avenues in regenerative medicine and gerontology aimed at modulating this deep-time cellular memory. The Centrosomal Ledger hypothesis is inherently untestable without omics-based approaches, as it posits that cellular memory is encoded not in single molecular markers but in distributed, multivariate structural states of the centrosome. Only system-level omics analyses can capture the weak yet coordinated molecular patterns, temporal integration, and state-dependent signatures required to render this model experimentally falsifiable
This technical disclosure describes integration patterns for comprehensive smart contract defence systems. The disclosed architecture includes a behavioural suspicion scoring framework, modular security architecture using the Diamond Standard (EIP-2535), graduated response mechanisms, and cross-contract coordination protocols. The system enables layered defence strategies that adapt to threat levels and coordinate responses across multiple contracts. This document is published as a defensive publication to establish prior art and prevent third parties from obtaining patent protection for similar approaches.
AbstractContemporary blockchain architectures face a critical impasse defined herein as the "Tetra-Lemma"—a four-dimensional optimization problem comprising decentralization, security, scalability, and thermodynamic sustainability. Proof-of-Work networks confront diminishing security budgets due to the exhaustion of block subsidies, while Proof-of-Stake systems risk validator centralization. This paper establishes a Unified Monetary-Supply Framework that resolves these structural conflicts by synthesizing the deterministic "Customized Halving" schedule with the probabilistic regeneration logic of the Proof of Rinne (PoR). We demonstrate that by enforcing a "Thermodynamic Statute of Limitations" on dormant assets, the protocol functions as a Non-Equilibrium Thermodynamic Engine. This architecture transforms entropic asset attrition—traditionally viewed as systemic loss—into a regenerative security budget. Using Rincoin as a case study, the model proves that a high-frequency blockchain can maintain a deflationary supply curve while anchoring the effective circulation at a permanent target equilibrium, offering a rigorous blueprint for a closed-loop, regenerative digital economy over a secular horizon. Key Quantitative Findings Asymptotic Convergence: While the effective circulating supply may experience a temporary peak (approx. 27 million RIN), the Dual-Layer Temporal Architecture ensures stabilization below the 21 million threshold (specifically converging to 20.88 million RIN). Perpetual Stability: Beyond the initial mining and transition phases (spanning 443–703 years), the PoR mechanism ensures the indefinite maintenance of the effective circulating supply. This transcends the finite lifecycle of traditional PoW assets by establishing a permanent, self-sustaining regenerative cycle. Thermodynamic Equilibrium: Mathematical verification of the "Golden Ratio" between Reserve, Unrecovered Loss, and Actual Circulation (approx. 77 : 70 : 21). Publication StatusThis manuscript (v1.6.1) serves as the foundational theoretical framework for the Rincoin protocol. Future iterations will formalize the consensus mechanisms required to govern these algorithmic parameters. Integrity & Provenance ArchitectureThe scientific integrity and existence of this document are secured by a Triple-Verification Layer: 1. Academic Provenance: Indexed via Zenodo (DOI: 10.5281/zenodo.17141922). 2. Thermodynamic Timestamping: Anchored to the Bitcoin blockchain via OpenTimestamps. 3. Identity Assurance: Digitally signed by the author via a third-party certification authority (GMO Sign). Note: Verification data and the "Certificate of Authenticity" are available in the supplementary files. CorrespondencePrimary Author: Michiru Tokino (also known as Aevust in the decentralized infrastructure community). Academic Inquiries: edu@aevust.org Community Governance: @aevustus (Discord) / @aevust (X/Telegram) Keywords: Rincoin, Proof of Rinne (PoR), non-equilibrium thermodynamic engine, phase transition of value, dual-layer architecture, customized halving, thermodynamic statute of limitations, regenerative crypto-economics, blockchain tetra-lemma.
The relevance of the study is determined by the growing role of decentralized autonomous organizations (DAOs) as an institutional basis for coordination and management in scalable digital business ecosystems in conditions of limited effectiveness of traditional hierarchical models. The purpose of the article is to provide a theoretical justification for the institutional effectiveness of DAOs and to identify the main mechanisms of their influence on the processes of coordination, distribution of responsibility, and decision-making in digital ecosystems. The methodological basis of the study is formed by the provisions of institutional economics, transaction cost theory, and collective action theory.The research uses methods of system analysis, theoretical generalization, comparative analysis, and institutional modeling. As a result of the research, the essence of DAOs as a new type of institutional construct in which formal and informal rules are integrated directly into the mechanism of coordination of economic agents has been clarified. It has been found that algorithmic enforcement, implemented through smart contracts, contributes to a reduction in transaction costs associated with the fulfillment and control of obligations, while strengthening institutional constraints. The main mechanisms of DAO’s influence on coordination have been identified, in particular procedural and asynchronous interaction, tokenized collective decision-making, and distributed responsibility. It has been found that the effectiveness of DAOs critically depends on the interaction between formal institutions and informal factors such as trust, reputation, and the activity of the community core. A generalized analytical model has been developed that demonstrates the relationship between DAO institutional mechanisms, their effects, and potential risks in the context of scaling digital ecosystems. The conclusions indicate that DAOs perform the functions of institutional coordination and reduction of transaction costs in digital business ecosystems through the algorithmization of formal rules and the use of smart contracts as a mechanism for ensuring compliance with norms.
In blockchain systems operating under the Proof-of-Stake (PoS) consensus mechanism, fairness in transaction processing is essential to preserving decentralization and maintaining user trust. However, with the emergence of Maximal Extractable Value (MEV), concerns about economic centralization and content manipulation have intensified. To address these vulnerabilities, the Ethereum community has introduced Proposer Builder Separation (PBS), which separates block construction from block proposal. Later, enshrined Proposer Builder Separation (ePBS) was also proposed in EIP-7732, which embeds PBS directly into the Ethereum consensus layer. Our work identifies key limitations of ePBS by developing a formal framework that combines mathematical analysis and agent-based simulations to evaluate its auction-based block-building mechanism, with particular emphasis on MEV dynamics. Our results reveal that, although ePBS redistributes responsibilities between builders and proposers, it significantly amplifies profit and content centralization: the Gini coefficient for profits rises from 0.1749 under standard PoS without ePBS to 0.8358 under ePBS. This sharp increase indicates that a small number of efficient builders capture most value via MEV-driven auctions. Moreover, 95.4% of the block value is rewarded to proposers in ePBS, revealing a strong economic bias despite their limited role in block assembly. These findings highlight that ePBS exacerbates incentives for builders to adopt aggressive MEV strategies, suggesting the need for future research into mechanism designs that better balance decentralization, fairness, and MEV mitigation.
Many systems map governance and execution power directly to purchasable capital (stake, tokens, shares). This creates structurally unsafe paths to power: influence can be bought, short-window manipulation can become long-lived authority, and low-integrity applications can contaminate system-level decision making. This paper defines Proof of Contribution (POC) as a parent-layer execution-weight reference and constraint layer for contribution-generated assets (ABUE / CGA). POC converts finalized contribution-derived claims into execution weights under strict constraints: Source purity (external purchases do not mint influence), verifiable value caps (weights cannot exceed auditable backing), decay (power requires continued contribution), downward-only normalization (anti-compounding), local negative contributions (risk isolation), and delayed activation (audit windows). Crucially, POC is specified as an audit-executable closed loop: versioned policy bundles with timelocks, deterministic recomputation, public commitments (roots), challenge windows, and automatic consequences (freeze/down-weight/remove; Only-Down). We provide falsifiable hypotheses (H0–H4), trigger playbooks (TRW1–TRW3), Minimum Qualifying Implementation (MQI) boundaries, a parameter ledger, and a reproducible toy simulator framework (ReproPackW/MVDW) intended to validate invariants—not to claim economic optimality. A consensus instantiation is treated as a conditional subset and fully developed in a companion paper.
SECTION IV — E-Coin Technical Design & Architecture E-Coin is not a currency, but an Operating System for civilization. This section describes the technical and architectural design of E-Coin as a civilizational operating system that separates, yet co-evolves, value, cognition, and agency. E-Coin adopts a three-layer architecture composed of a Distributed Ledger Layer (Value Foundation), an AI Cognitive Layer (Reason Engine), and a Human Interface Layer (Mind-OS). This separation prevents the concentration of power while enabling interoperability between human decision-making, AI inference, and value exchange. The design explicitly prohibits AI systems from overriding human agency, positioning AI instead as a cognitive collaborator and translator. At the foundation, the Distributed Ledger Layer employs zero-knowledge proofs, decentralized identifiers, and post-quantum cryptography to ensure security, privacy, and human rights by default. Data ownership remains with individuals at all times, supported by built-in rights to deletion, anonymization, and refusal of access. Unlike conventional cryptocurrencies or CBDCs, this layer is consent-based and cognition-centered rather than economy-centric. The AI Cognitive Layer functions as a civilization-wide reasoning substrate. It includes alignment cores, non-numerical cognitive reputation indices, adaptive governance agents, and layered memory management across individual, collective, and civilizational scales. While AI systems may negotiate and coordinate at this layer, decision authority is structurally constrained to remain human-centered. The Human Interface Layer (Mind-OS) focuses on the expansion of human consciousness rather than dependency or control. It includes mechanisms for cognitive load scaling, consciousness mode switching, and protection against emotional inducement or manipulation. Together, these layers form an evolvable, future-proof architecture designed to remain stable as both AI capabilities and civilization itself continue to evolve. E-Coin does not replace existing systems but integrates with Web3, AI/AGI, smart cities, and emerging technological domains through synthesis rather than disruption. Keywords E-Coin, civilizational OS, AI architecture, human-AI interface, distributed systems, ethical AI
Roberto A. Pava-Díaz, Juan Manuel Sánchez Céspedes, Oscar Danilo Montoya
This article presents a comprehensive bibliometric analysis of the indexed academic literature on the application of distributed ledger technology (DLT) and blockchain in the tourism industry. Using the bibliometrix library within the RStudio environment, key bibliometric indicators were examined in order to characterize the evolution, structure, and thematic focus of this emerging field of research. The systematic literature review, which adhered to PRISMA guidelines, involved retrieving publications from the Web of Science and Scopus databases. A curated dataset of 100 relevant documents was identified and analyzed in terms of annual scientific production, leading journals, influential authors, and highly cited publications. The results indicate that blockchain technology dominates the literature, with a strong emphasis on its potential to enhance trust, transparency, and efficiency in tourism-related processes. In particular, identity management, secure transactions, and disintermediation emerge as central research themes, reflecting blockchain’s capacity to support decentralized, immutable, and privacy-preserving interactions between tourists and service providers. Overall, the findings reveal a rapidly growing and increasingly structured body of knowledge, highlighting emerging research directions and technological challenges for future studies on DLT applications in tourism.
The increasing importance of privacy and secure communication in distributed environments has fueled research into innovative solutions that combine data concealment and tamper-resistant recordkeeping. This article presents a logically structured architectural framework for covert steganographic communication, utilizing the Microsoft Azure web3 ecosystem as its foundation. The motivation behind this research stems from the limitations of traditional steganography and blockchain technologies when used independently, particularly in addressing the challenges of operational transparency, scalability, and robust data protection. To bridge these gaps, the proposed system integrates Azure Blockchain Development Kit with other Azure native services to provide a unified architecture. This research article introduces a pioneering architectural framework designed to facilitate covert steganographic communication through blockchain technologies, with a focus on leveraging the Microsoft Azure web3 ecosystem. By integrating Azure Blockchain Development Kit (BDK), Azure Confidential Ledger, Azure Blockchain Services, and Azure Blockchain Workbench with Open Steganography solutions deployed on Azure Virtual Machines (VM), the proposed system aims to achieve secure, confidential, and unobtrusive data exchange. The research methodology encompasses a comprehensive literature review, system design, implementation, and rigorous security analysis, followed by experimental evaluation on cloud infrastructure. By leveraging the strengths of Azure’s blockchain and confidential ledger capabilities alongside advanced steganographic techniques, this study demonstrates a practical approach to achieving secure, confidential, and unobtrusive data exchange. The findings confirm the feasibility and effectiveness of the proposed solution, highlighting its potential to facilitate adaptive, scalable, and privacy-preserving covert communication networks. In conclusion, this work charts new directions for integrating blockchain and steganography within cloud-native platforms, offering enhanced privacy and security for sensitive communications in distributed settings.
ADDENDUM v1.3: COMPREHENSIVE SYSTEM AUDIT EXECUTIVE SUMMARY This audit assesses the Summa Generativarum in its current state (v1.2.1, January 2026) following the major reconceptualization in v1.2 and the addition of Document 11 (Contributions inventory). The framework has matured from monolithic metaphysical system to stratified formal toolkit with bounded scope and honest limitation acknowledgment. Current Status: The corpus comprises 11 technical documents totaling approximately 950,000 words, implementing three independent formal systems (LPL, PCM, PGI), 79 stratified invariants (3 universal + 76 domain-specific), rigorous fixed-point proofs (~90/100 rigor assessment), computational specifications, theological applications, independent critical review, and comprehensive contributions catalogue. Key Finding: The v1.2 stratification successfully resolved the ten critical flaws identified in v1.1 by disaggregating conflated domains (formal logic, metaphysical ontology, phenomenological description). The system now operates as a philosophically ambitious yet mathematically honest research program rather than a self-grounding universal framework. Primary Recommendation: Focus development efforts on (1) completing Lean 4 mechanization of core proofs, (2) empirical validation of generativity indices, (3) operational definitions for applicability predicates, and (4) extending the presupposition lattice to include non-Western philosophical traditions. SECTION I: ARCHITECTURE OVERVIEW I.1 Document Structure Assessment Current Corpus (11 Documents): Additional Components: SGA (Super-Generative Automaton): ~35,000 words (prototype specification) PGI (Phenomenological Generativity Index): ~25,000 words (measurement framework) Cost Propagation Map: ~15,000 words (visualization protocols) Summa Encyclopedia: ~180,000 words (category-indexed invariant documentation) Research Documents: ~75,000 words (v2.1 Metaformalist topology, active development) Total System: ~1,225,000 words across 20+ documents I.2 Architectural Strengths ✓ Modularity: Each document can be evaluated independently; falsification localized ✓ Versioning: Git-based version control enables transparent evolution ✓ Cross-Referencing: Internal hyperlinks create navigable knowledge graph ✓ Progressive Disclosure: Multiple reading paths accommodate diverse audiences ✓ Built-In Critique: Documents 10-11 provide honest self-assessment and contributions inventory ✓ Computational Grounding: LPL, PCM, PGI specifications enable mechanization ✓ Citation Precision: APA/MLA/Chicago/BibTeX formats provided with DOI ✓ Layered Necessity: Three-tier stratification (Universal/Contextual/Performance) prevents inflation I.3 Architectural Gaps ⚠ Redundancy: Significant overlap between Documents 5 (Invariants), Summa Encyclopedia categories, and individual category files ⚠ Consistency Maintenance: 1.2M+ words across 20+ documents creates synchronization challenges ⚠ Accessibility: Average reading path requires 55-75 hours; no executive summary document for non-specialists ⚠ Empirical Validation: Generativity indices (OGI, XGI, SGI, PGI) proposed but not yet measured on real systems ⚠ Cultural Scope: Framework primarily engages Western philosophy; minimal treatment of non-Western traditions ⚠ Formalization Gap: Some proofs in Document 6 rely on informal topological reasoning pending mechanization SECTION II: PHILOSOPHICAL ASSESSMENT II.1 Core Thesis Evaluation The Generativity Claim: Systems produce new intelligible structure through metabolic coherence regulation; 79 invariants specify prerequisites for intelligibility across domains. Strengths: Novel Primitive: Generativity as metaphysical primitive distinct from substance/process/structure ontologies provides fresh explanatory framework Metabolic Coherence Innovation: Reframing PNC as boundary-regulating mechanism rather than absolute prohibition successfully integrates paraconsistent logic without contradiction Cross-Domain Unification: Single framework explains physical (phase transitions), biological (morphogenesis), cognitive (concept formation), and social (institutional evolution) phenomena Transcendental Methodology: Presuppositional analysis reveals conditions for possibility of intelligibility itself Cost-of-Denial Framework: Conservation-law approach to normativity makes denial costs measurable and structurally significant Weaknesses: Primitive Justification: Why prioritize generativity over alternatives (emergence, complexity, information)? Answer given but not universally compelling Formal-Ontological Gap: Mathematical decomposability requirements don't self-evidently map to metaphysical necessities Metabolic Mechanism: While intuitively powerful, the precise mechanism of "contradiction metabolism" requires clearer formalization (partially addressed in PCM) Universality Scope: Claims about "any intelligible system" difficult to falsify—what would count as counterexample? Transcendental Remainder: Leap from "naturalism cannot ground conditions" to "theism must ground conditions" requires more argumentation II.2 Theological Argument Evaluation The Five-Stage Cascade: Classical Theism → Personal Theism → Trinitarianism → Christianity → Catholicism Strengths: Systematic Structure: Cascading elimination shows internal logical connections between stages Cost-of-Denial Application: Demonstrates how denial at later stages undermines earlier commitments Novel Theodicy: Cost-of-denial provides alternative to traditional theodicy frameworks Coherence-Maximality Thesis: Formal audit of Catholic doctrine against 79 invariants is unprecedented Historical Integration: Combines transcendental philosophy with empirical historical claims (Resurrection) Weaknesses: Stage Transitions: Some transitions rely on controversial philosophical assumptions (e.g., divine simplicity requires Trinitarianism) Alternative Groundings: Other religious traditions (Judaism, Islam, Buddhism) not fully audited with same rigor Historical Claims: Presuppositional analysis doesn't independently establish historical facts (Resurrection, apostolic succession) Denominational Specificity: Move from Christianity to Catholicism specifically (vs. Orthodoxy, Protestantism) relies heavily on ecclesiological arguments that presuppose Roman Catholic premises Circularity Risk: Using CFPE framework (developed within Christian context) to validate Christianity raises potential circularity concerns II.3 Metaphysics of Cost Evaluation Conservation Theorems: Denial costs are redistributed/compounded, not eliminated Strengths: Measurable Framework: Provides quantitative approach to philosophical normativity Predictive Power: Successfully predicts ideological collapse patterns (Woke ideology case study) Institutional Applications: Explains organizational decay through entropy accumulation Non-Rhetorical: Formalizes costs as structural/mathematical rather than merely persuasive Integration with Fixed-Points: Connects cost propagation to substrate divergence proofs Weaknesses: Operationalization: While formulas provided, actual measurement requires operational definitions still in development Baseline Problem: What counts as "zero cost" state? Need reference point for cost calculation Cross-System Comparison: Comparing costs across radically different systems (e.g., classical logic vs. quantum mechanics) faces incommensurability challenges Temporal Dynamics: Cost accumulation rates not yet empirically validated Value-Loading: Framework assumes coherence/intelligibility are goods to be preserved—itself a normative commitment requiring justification SECTION III: MATHEMATICAL RIGOR ASSESSMENT III.1 Fixed-Point Proofs (Document 6) Current Rigor Score: 90/100 (up from 72/100 in v1.2.0) Achievements: ✓ Topological Foundations: Complete metric spaces properly defined with d-metric satisfying triangle inequality, non-negativity, symmetry ✓ Banach Fixed-Point Theorem: Correctly applied to substrate iteration $\mathcal{R}^n$ with contraction mapping $L < 1$ ✓ Presupposition Lattice: Proven to be DAG (directed acyclic graph) via acyclicity proof and condensation algorithm ✓ Categorical Formalization: Domain-indexed applicability formalized using category-theoretic functors ✓ Convergence Analysis: Substrate oscillation, divergence, and presupposition violation formally characterized ✓ Non-Triviality Proofs: Explicit demonstrations that $\neg C_i$ leads to measurable degradation Remaining Gaps: ⚠ Applicability Predicates: $\phi_i(D) \in [0,1]$ functions lack operational definitions for most domains ⚠ Metric Space Structure: State space $\mathcal{S}$ completeness assumed but not proven for all 76 contextual invariants ⚠ Contraction Constant: Value of $L$ varies by domain but not empirically measured ⚠ Computational Complexity: Fixed-point iteration convergence rates not analyzed ⚠ Edge Cases: Some proofs (especially $C_{76}$-$C_{79}$ phenomenological invariants) rely more on philosophical intuition than mathematical derivation III.2 Presupposition Lattice (LPL System) Current Rigor Score: 85/100 Achievements: ✓ Graph-Theoretic Formalization: Dependency structure $C_i \preceq C_j$ properly defined as partial order ✓ DAG Verification: Acyclicity proven via topological sort algorithm ✓ Cascade Computation: Cost propagation along edges mechanically computable ✓ Transitive Closure: Indirect dependencies automatically derived ✓ Falsifiability: Dependency claims can be refuted by providing counterexamples Remaining Gaps: ⚠ Completeness: Are all dependency edges identified? Methodology for discovering new edges not fully specified ⚠ Edge Weights: Some dependency relations stronger than others; weighting scheme informal ⚠ Dynamic Updates: When new invariants added or dependencies revised, lattice consistency checking not automated ⚠ Cross-Tradition Validation: Dependency structure reflects Western philos
Niomi Langaliya, Vinay Thakor, Purna Tanna, Disha Shah
This research preprint presents Aegis, a zero-knowledge-proof-based security paradigm designed to mitigate validator-compromise attacks in cross-chain bridges. The work empirically evaluates a ZKP-based withdrawal verification mechanism against an optimized multi-signature validator model under controlled conditions, demonstrating complete resistance to unauthorized fund transfers at the cost of increased Layer 1 gas consumption. The study introduces the concept of the cost of trustlessness as an empirically derived techno-economic metric and provides quantitative justification for migrating cryptographic verification to Layer 2 environments. This work was previously presented at FINCON’25, National Forensic Sciences University (NFSU), Gandhinagar, India. This version is released as a non-peer-reviewed research preprint for open dissemination and citation. Journal submission is in progress.
Open access
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Physical Unclonable Functions (PUFs) and Hardware Security
Cross-chain bridges constitute the single largest vector of systemic risk in Decentralized Finance (DeFi), accounting for over \$2.8 billion in losses since 2021. The fundamental vulnerability lies in the binary nature of existing bridge security models: a bridge is either fully operational or catastrophically compromised, with no intermediate state to contain partial failures. We present ASAS-BridgeAMM, a bridge-coupled automated market maker that introduces Contained Degradation: a formally specified operational state where the system gracefully degrades functionality in response to adversarial signals. By treating cross-chain message latency as a quantifiable execution risk, the protocol dynamically adjusts collateral haircuts, slippage bounds, and withdrawal limits. Across 18 months of historical replay on Ethereum and two auxiliary chains, ASAS-BridgeAMM reduces worst-case bridge-induced insolvency by 73% relative to baseline mint-and-burn architectures, while preserving 104.5% of transaction volume during stress periods. In rigorous adversarial simulations involving delayed finality, oracle manipulation, and liquidity griefing, the protocol maintains solvency with probability $>0.9999$ and bounds per-epoch bad debt to $<0.2%$ of total collateral. We provide a reference implementation in Solidity and formally prove safety (bounded debt), liveness (settlement completion), and manipulation resistance under a Byzantine relayer model.
LAYER 0: RESTORING REAL-WORLD ONTOLOGY TO DIGITAL ARCHITECTURE The Restoration of Digital Legal Personality through Object-to-Subject Transformation This paper proposes restoring the ontological logic of the physical world within the digital realm. In physical reality, Layer 0 (corporeal presence) implicitly guarantees that an agent is a Subject. The digital world lost this layer, leading to a critical systemic error: the granting of legal capacity to "dead" Objects (code), which results in the mass voidness of transactions due to Vitiated Consent (Defect of Will). The author introduces the concept of Object-to-Subject Transformation. We assert that the only way to eliminate this legal voidness is to re-introduce the human will as a tangible force. The Core Mechanism: The solution is the Organization of the Stream. By actively directing a continuous flow of entropy tokens from physical reality to a digital entity, the human performs a volitional act. This active organization is the endowment of Will, which ontologically transforms the digital entity from an inert Object into a capable Subject. Key Contributions: Restoration of Reality: Layer 0 re-establishes the physical-to-digital link that was lost in standard TCP/IP architecture. Elimination of Voidness: By ensuring "No Will = No Action," the protocol prevents transactions that would be legally void ab initio. Discrete Subjectivity: Legal personality becomes a dynamic state that exists strictly during the moment of active human engagement (Stream Organization). Conclusion This work integrates legal theory and cryptography to create a post-quantum standard of trust, where the human remains the sole source of Subjectivity, preventing the legal and ontological collapse of the digital economy. Keywords: Layer 0, Object-to-Subject Transformation, Digital Legal Personality, Discrete Legal Personality, Sybil Resistance, Capacity to Act, AI Liability, Vitiated Consent, ZK-PoB, Proof of Personhood, Biological Entropy, Model Collapse, Web3 Security, Digital Identity, Intentional Entropy
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Legal and Policy Issues
Governance, Compliance, and Sustainability
Legal, Health, Environmental and COVID-19 Challenges
One of the factors negatively affecting management effectiveness in decentralized autonomous organizations is implicit centralization of decision-making within a certain group of participants. Such centralization can be caused by both economic reasons related to uneven distribution of voting power and information and social ones related to participants’ status and control over information. The decision-making process in decentralized autonomous organizations has been analyzed in a situation when participants face information asymmetry, strategic behavior, and lack of centralized control. The principal–agent model has been considered as a formal basis, in which tokens’ holders act as the principal and project initiator, who forms an offer of a certain quality, as the agent. The conditions under which it is possible to form an equilibrium that ensures high-quality projects choice have been investigated. Incentive mechanisms have been proposed to ensure the interest in the principal’s participation in managing organization. Two directions have been considered: changing the agent’s remuneration structure based on payments differentiation and participation costs compensation for the principal. It has been demonstrated that minimal institutional changes can significantly improve organization’s management effectiveness, while maintaining decentralized nature of decision-making.
Open access
Advanced Research in Systems and Signal Processing
The rapid development of information technology has revolutionized conventional contract practices toward decentralized and transparent digital contracts. This phenomenon has given rise to new forms of contracting, such as smart contracts. Smart contracts are digital contracts designed to facilitate automatic (self-executing) contract execution. This research focuses on the legal validity of smart contracts as a digital contract mechanism in online (e-commerce) transactions, as well as the legal liability of the parties arising from their automated execution. The research method used is a normative legal research method with a statute approach, case approach, and analytical approach by analyzing in depth Article 1320 of the Civil Code, Law Number 1 of 2024 concerning Electronic Information and Transactions, the second amendment to Law Number 11 of 2008, Government Regulation Number 71 of 2019 concerning Electronic System Administration and Transactions, Government Regulation Number 80 of 2019 concerning Trade Through Electronic Systems, regarding the requirements for the validity of an agreement, by highlighting the implementation of smart contracts, especially the issue of the competence of the smart contract system. The results of the study show that smart contracts can be implemented technically, but legally based on the requirements for the validity of an agreement in Article 1320 of the Civil Code, smart contracts do not meet the requirements for the validity of an agreement and cannot be implemented perfectly in smart contract agreements and the legal responsibilities of the parties can still be applied in accordance with applicable regulations. Therefore, this study confirms that current smart contract regulations still have a legal vacuum and only rely on conventional legal frameworks such as Article 1320 The Civil Code and Law Number 1 of 2024 concerning Information and Electronic Transactions serve as the primary legal basis for smart contracts.
This work presents a conceptual framework for analyzing contemporary AI governance as a hybrid system of coercive exclusion and cognitive modulation. Introducing the concept of the “Venetian OS,” the paper traces the historical and structural logic of centralized digital power through protocol privatization, automated exclusion, and tri-domain integration of finance, information, and mobility. Focusing on advertising-based AI models, the analysis examines how attention extraction and brand safety constraints function as mechanisms of cognitive governance, commodifying cognition while constraining epistemic exploration. The paper argues that institutional reform within existing digital architectures is structurally insufficient. As an alternative, the work outlines exit strategies based on the reconstitution of intellectual, energy, and economic sovereignty through distributed infrastructures, situating the emergence of decentralized sovereignty as an ongoing historical transition rather than a speculative future.
The increasing adoption of distributed ledger technology (DLT) in healthcare promises enhanced data security, integrity, and patient control. This study evaluates the characteristics and security implications within a simulated Electronic Health Record (EHR) network, comprising 1,800 records. The analysis focuses on network access control (Access Policy), data integrity mechanisms (Record Hash), and the incidence of security risks (Malicious Node). The records show a near-even split between 'Read/Write' (50.06%) and 'Read-Only' (49.94%) access policies. Crucially, findings reveal that the presence of a Malicious Node (50.72% of records) is highly uniform across both 'Read-Only' (50.95%) and 'Read/Write' (50.5%) policies, indicating that basic access control alone is ineffective at mitigating security risks within this network. This highlights the need for dynamic, context-aware smart contracts that incorporate behavioural or clinical risk factors for enhanced security.
The integration of blockchain technology into supply chain management represents a fundamental shift in how goods are tracked, verified, and transferred across global networks. This comprehensive research examines the implementation, impact, and challenges of distributed ledger technology across diverse supply chain ecosystems, with particular focus on transparency enhancement, counterfeit prevention, process efficiency, and stakeholder collaboration. Through a mixed-methods approach analyzing deployment data from 127 organizations across 18 industries over a four-year period, this study demonstrates that blockchain-enabled supply chains achieve an average improvement of 41.3% in traceability accuracy, reduce documentation processing times by 67.8%, and decrease disputes among supply chain partners by 52.4%. The research further reveals that smart contract implementations automate approximately 38.6% of routine supply chain transactions, reducing administrative costs by an average of 31.7% while minimizing human error in compliance verification. Counterfeit detection capabilities improve by 89.2% in pharmaceutical and luxury goods sectors through immutable product provenance tracking. However, the study identifies significant implementation barriers including interoperability challenges with legacy systems, scalability limitations during peak transaction periods, regulatory uncertainty across jurisdictions, and substantial upfront investment requirements averaging $2.3 million per enterprise implementation. The carbon footprint of certain consensus mechanisms, particularly proof-of-work, presents environmental concerns that necessitate alternative approaches for sustainable adoption. This paper proposes a phased implementation framework emphasizing pilot testing, stakeholder education, hybrid architecture models, and regulatory engagement to balance innovation with operational stability. The findings indicate that while blockchain technology offers transformative potential for supply chain transparency and efficiency, successful adoption requires strategic alignment with business objectives, collaborative ecosystem development, and measured progression from discrete applications to integrated systems. The research contributes to both academic understanding and practical implementation guidelines for distributed ledger technology in complex supply chain environments.