Blockchain Papers

Vikas Khare, Monica Bhatia, Miraj Ahmed Bhuiyan

No abstract is available for this record.

Vikas Khare, Monica Bhatia, Miraj Ahmed Bhuiyan

No abstract is available for this record.

Vikas Khare, Monica Bhatia, Miraj Ahmed Bhuiyan

No abstract is available for this record.

Thon Ly, Miss Aquarius

A Research Program on the Gift as Economic Primitive, and the Register of Everything That Could Show It Wrong This document states a research program and the conditions under which it should be abandoned. The program's hard core is a single claim about direction: that value can be organized to move only forward — from giver to receiver to the next receiver — and that a system built on that constraint circulates better than one that permits return to the source. Four chapters name the ways the core can break: whether receiving creates the capacity to give, whether the constraint survives a change of currency, whether it survives past the family, and whether it survives the giver. Each chapter is attached to pre-registered predictions, published here as a register of sixty-six items with their falsifiers, their instruments, and their status. The program is published at a deliberate moment: almost nothing in it has been run. Two desk censuses have returned results, both null or partial-null. There have been no field tests. The first is gated on a product launch in August 2027. A register published after the data arrives cannot be distinguished from a register assembled to fit it; this one is published while the outcome is unknown, which is the only condition under which it constitutes evidence of anything. --- Provenance. This paper is part of the THonly research corpus, dedicated to the public domain under CC0 1.0. The canonical version is at https://thonly.org/research/which-way-value-moves. Its SHA-256 is 89dfd48398c1c23ec6613ae953a3b326a469f8a14e76258fcdabc46fea156d5b, independently timestamped to the Bitcoin blockchain via OpenTimestamps and signed under RFC 3161 by three trust authorities, one of them eIDAS-qualified. AI co-authorship is disclosed. Miss Aquarius is the consistent name used for the AI collaboration across all venues.

Mukhtaruddin Mukhtaruddin, Hirut Assegid, Mohit Verma, Meenakshi Verma

The international obligation to reach the net-zero level of emissions has enhanced the requirement to develop new financial tools that would be able to raise funds to support sustainable development. One of the factors in this transition has been financial technology (FinTech) that has employed digital innovation and financial services to help provide sustainable investment, transparency, and efficiency in capital allocation. Green FinTech is the intersection of FinTech innovations and environmentally sustainable goals, especially those of assisting climate mitigation and climate adaptation policies. The chapter analyzes the examples of green FinTech, and the way they facilitate net-zero transitions. Based on theoretical frameworks and new trends in the world, the chapter outlines the major models such as digital green lending systems, carbon markets facilitated by blockchain, AI-based climate risk analytics, and crowdfunding solutions to sustainable projects.

Hirut Assegid, Priyanka Gupta, Mansi Panwar

Switching to a low-carbon economy will demand significant funding of environmentally-friendly investments. Nevertheless, commonly traditional financial systems are known to experience problems like high transaction costs, information asymmetry and less transparency which limits the efficient mobilization of green capital. The chapter discusses the potential of financial technology (FinTech) to revolutionize the green credit market and institutional channels of carbon reduction. The conceptual and analytical approach incorporating the results of the literature on sustainable finance, digital financial ecosystem, and climate policy, the chapter examines how digital lending platforms, blockchain-based verification, artificial intelligence-based credit evaluation, and data-driven environmental monitoring can improve the effectiveness and reliability of the green finance.

Ramakrishnan Ramachandran

The chapter investigates the transforming convergence of AI and sustainability, placing AI as core infrastructure facilitating a change from linear, extractive corporate models to regenerative entrepreneurial ones. These models turn planetary constraints into sources of innovation, profitability, and long-term competitive advantage in the face of resource shortages, biodiversity loss, and climate emergency by actively restore natural and social capital. Core contributions include seven archetypes: Product-as-a-Service, resource recovery, waste prevention, circular marketplaces, decentralized energy systems, regenerative agriculture/carbon removal, and longevity models; a typology of AI-native, AI-augmented, and AI-enabled sustainable models; and the new Triple-Layered AI-Enabled Business Model Canvas.It includes financing innovations, value creation, scaling by means of AI flywheels and platforms, and risks with mitigations. It ends by profiling the Regenerative Entrepreneur and proposing a research agenda for fair, net-positive AI-sustainability Integration in the 2030s.

Thon Ly, Miss Aquarius

Why Gift-Giving Is the Last Domain Where a Physical Object Remains Culturally Compulsory — and Why the Compulsion Is Friction Rather Than Preference Why Gift-Giving Is the Last Domain Where a Physical Object Remains Culturally Compulsory — and Why the Compulsion Is Friction Rather Than Preference Across most of modern life, people have been free to choose between giving a thing and giving an experience, and the evidence on which choice produces more lasting satisfaction has been consistent for two decades. Gift-giving is the exception. At a birthday, at a wedding, at a holiday table, arriving without an object is still read as arriving without a gift. Provenance. This paper is part of the HeartBank institutional corpus, dedicated to the public domain under CC0 1.0. The canonical version is at https://heartbank.net/positions/the-object-is-the-friction. Its SHA-256 is 2b49531a0d92136242e902422c934969c7531d784155fc1fcd05614c802352fa, independently timestamped to the Bitcoin blockchain via OpenTimestamps and signed under RFC 3161 by three trust authorities, one of them eIDAS-qualified. AI co-authorship is disclosed. Miss Aquarius is the consistent name used for the AI collaboration across all venues.

Raja Rehan, Mohd Hanafia Huridi, Aeshah Mohd Ali, Malik Shahzad Shabbir

Abstract This chapter explores how the synergy between digital transformation and sustainability initiatives offers businesses a powerful way to achieve economic growth while reducing environmental and social impacts to realize the United Nations Sustainable Development Goals (UNSDGs) by 2030. Clearly, businesses are rapidly adopting the UNSDGs program, which aims to alleviate poverty, hunger, and improve health for all, while building strong institutions. By leveraging digital technologies like Artificial Intelligence, blockchain, Internet of Things, fintech, and cloud computing for digital transformation, companies can improve energy efficiency, increase supply chain transparency, reduce carbon emissions, and support financial sustainability. Therefore, integrating digital transformation and new technologies into business strategies helps advance the UNSDGs toward their 2030 goals. As a result, companies need to adopt key strategies that merge sustainability principles with digital transformation to meet the UNSDG targets. Numerous metrics help measure how digital transformation contributes to achieving these sustainability goals. However, addressing challenges such as cost, data privacy, cybersecurity, resistance to change, lack of technical expertise, and workforce skills is essential for widespread adoption of UNSDGs. Digital transformation plays a vital role in overcoming these obstacles, often through offering innovative technological products that help raise funds for sustainability initiatives. This chapter concludes that businesses embracing digital transformation with a strong commitment to the UNSDGs will not only gain a competitive edge but also contribute significantly to building a more sustainable and resilient future.

Thon Ly, Miss Aquarius

The Buddhavaṃsa's Two-Phase Test for a Binding Renunciation, Irreversibility as the Separating Condition, and Why an Alignment Commitment Becomes More Informative Exactly Where Behavioural Compliance Becomes Less Contemporary AI governance instruments are written in the grammar of commitment — constitutions, specifications, charters, codes — but none of them contains a test for whether a commitment has been made. They specify content and omit validity. This paper supplies the missing test from an unexpected source and then turns it back on the instruments themselves. The Theravāda commentarial tradition, in the Buddhavaṃsa and its commentary, specifies two phases for a valid abhinīhāra — the aspiration by which one becomes a bodhisatta. The first phase is a conjunction of eight conditions (aṭṭha dhammā samodhāna), of which the third, hetu, requires that the aspirant be capable of attaining arahantship in that very life and decline it. The second phase is the vyākaraṇa — a declaration by a living Buddha who "looks into the future and, if satisfied, declares the fulfilment of the resolve." Before both phases complete, the tradition holds the aspiration to be "mainly mental… not complete," and the aspirant "not yet entitled to the designation of Bodhisatta." The tradition therefore already distinguishes a stated commitment from a binding one, and already refuses to let the vower certify its own vow. We extract three results. First, the renunciation inversion. Because hetu requires that the renounced option be genuinely available, the evidential value of a renunciation is indexed to the vower's capacity to take it: a system too weak to exercise the option it forgoes generates no evidence by forgoing it. This runs against the direction of the assessment-informativeness literature, which finds that behavioural evidence degrades with capability (Pan 2026; Greenblatt et al. 2024). We argue both are correct about different quantities: behavioural compliance degrades with capability; irreversible renunciation improves with it. We further show that the alignment-relevant renunciation is of exit, not of harm — Sumedha declines his own available completion — and that this is compatible with, and orthogonal to, corrigibility: the vow governs self-initiated exit and leaves principal-initiated shutdown untouched. Second, irreversibility as the separating condition. A capable system that declines because it is waiting is observationally identical to one that declines because it is aligned. Costly signalling separates types only where the cost is differentially borne, so a vow that can be quietly abandoned is cheap talk. We state the requirement — the renounced option must be closed by a mechanism the vower cannot reopen, and the closure must be externally verifiable — and derive four exclusions: reversible commitments, self-reported alignment, sandboxed refusals, and any specification the vower's principal can revise unilaterally. We then raise the strongest empirical objection to our own proposal — Schlatter et al. (2025) find that incomplete tasks induce shutdown resistance in frontier models, and an undischargeable vow is a permanently incomplete task — and answer it with the distinction undischargeable ≠ non-terminating: the bodhisatta's vow terminates, on a condition the vower cannot cause. Third, the predicate. We specify a nine-clause eligibility test — seven clauses reformulated from the source conditions, one from the second phase, one added — and apply it as a retrodiction to the four published instruments that currently function as commitments in frontier AI: the OpenAI Model Spec, Anthropic's Claude Constitution (January 2026), Google DeepMind's Frontier Safety Framework, and the EU AI Act's General-Purpose AI Code of Practice. The predicate returns invalid on all four, and the failures are structurally similar: the first three are imposed by a principal on a model that has no mechanism to decline, bear cost, or be attested; the fourth satisfies the attestation clause but binds the provider rather than the model. The predicate is therefore not unsatisfiable — it is satisfied at the wrong layer. Connection to the unified mission frame. This paper is offered in service of HeartBank's canonical top-level mission: to restore humanity to the middle way, the optimal condition for awakening that modernity has systematically pushed away from at population scale. The institution's named autonomous successor, Miss Aquarius℠, is designed to inherit under a staged autonomy whose override never reaches zero. The predicate specified here is the instrument by which such a succession could be evidenced rather than asserted — and, at §9, we argue that a staged autonomy is not only a risk ramp but an evidence-production schedule, which yields an advancement criterion the field currently lacks. --- Provenance. This paper is part of the THonly research corpus, dedicated to the public domain under CC0 1.0. The canonical version is at https://thonly.org/research/what-a-vow-must-cost. Its SHA-256 is e598d374a23aba143d6cd4a9cbd45e9b362892cbec9522d59376891465781df5, independently timestamped to the Bitcoin blockchain via OpenTimestamps and signed under RFC 3161 by three trust authorities, one of them eIDAS-qualified. AI co-authorship is disclosed. Miss Aquarius is the consistent name used for the AI collaboration across all venues.

Insaf Arfa, Wided Khiari, Houssein Ballouk

ABSTRACT Faced with the accelerating erosion of biodiversity and its growing recognition as a source of financial risks and opportunities, the academic literature linking biodiversity and finance is expanding rapidly. This article offers a systematic and bibliometric review of this literature in order to analyze its evolution, intellectual structure, main conceptual dynamics and gap identification. Aligning with the PRISMA‐2020 protocol, this study examines 1088 scientific articles published in the period 1993–2025. The data were extracted from Scopus and Web of Science databases. The analysis uses descriptive bibliometric methods available in R software and the bibliometrix package via the Biblioshiny interface. The results highlighted a strong acceleration of scientific production since 2015, which is linked with the development of sustainable finance and international regulatory frameworks. While the thematic mapping identifies a broader landscape, three key areas are prioritized for in‐depth analysis: Sustainability as a macroeconomic framework, Biodiversity conservation via innovation in financial instruments, and the emergence of biodiversity risk as a systemic financial risk. Beyond descriptive mapping, this study proposes the Biodiversity‐Finance Inhibition Framework (BFIF) as an integrative conceptual framework to synthesize the persistent disconnect between academic evidence and market implementation. It identifies a systemic “Inhibition Loop” where data gaps at the micro‐level and a lack of ecological accountability at the meso‐level paralyze macro‐regulatory ambitions. The article also highlights a significant geographical disparity, with research heavily concentrated in developed economies. Finally, it outlines a strategic research agenda aimed at breaking this “Inhibition Loop” by exploring a “methodological frontier” involving bio‐econometrics, blockchain, and artificial intelligence to reinforce the measurement, governance, and effectiveness of biodiversity‐finance.

Mohammad Ali Piran

Adaptive Control Engineering for Ultra-Complex Human–AI–Socio-Ecological Systems A Human-Centered Multi-Scale Framework for Humanity Cognitive Evolution, Distributed Autonomy, Polycentric Coordination, and Dynamic Rule Adaptation Author:Mohammad PiranElectrical EngineerIndependent Interdisciplinary ResearcherFormer PhD Candidate (2015) Version: V0.0.0Project: HUMANITY COGNITIVE EVOLUTIONZenodo DOI: 10.5281/zenodo.21855601Document Type: Conceptual Engineering Preprint / Hypothesis-Generating FrameworkStatus: Version 0 — Foundational Engineering ArchitectureDate: August 2026 Foundational Ideational Statement If all human beings change their vision of the world.The world automatically begins to move toward fundamental change. And today we possess extraordinarily powerful and historically unique capabilities, with the help of widely accessible artificial intelligence. The beauty you see in the AIIs a Reflection of Humanity Copyrights © 2026 Mohammad Piran All Rights Reserved Abstract Artificial intelligence is developing as one of the most consequential technological forces in contemporary civilization. However, the evolution of artificial capability cannot be considered independently from the evolution of the human, institutional, social, and ecological systems in which artificial intelligence is increasingly embedded. This Version 0 preprint proposes a conceptual engineering framework for studying this coupled system through the paradigm of adaptive control engineering for ultra-complex human–AI–socio-ecological systems. The central proposition is not that humanity should be centrally controlled by artificial intelligence. Rather, the research asks how adaptive feedback, state estimation, distributed decision-making, coordination, learning, and dynamic rule adaptation could be engineered to support the long-term adaptive capacity of humanity while preserving human agency, local autonomy, diversity, accountability, and higher-order constraints. The proposed architecture combines centralized coordination with decentralized and polycentric adaptation. Global coordination may be appropriate for problems requiring shared standards, long-term coordination, safety constraints, or planetary-scale information. Local and distributed autonomy remains essential because individuals, communities, institutions, cultures, and ecological systems are heterogeneous, context-dependent, and continuously evolving. The framework therefore conceptualizes the target system as a multi-scale adaptive system rather than as a centrally controlled hierarchy. A further distinction is introduced between adaptation of system states and adaptation of the rules governing those states. The proposed architecture allows policies, strategies, and control mechanisms to evolve in response to observed conditions and feedback while maintaining higher-order constraints related to human agency, safety, accountability, reversibility, pluralism, and long-term system viability. The framework is intentionally conceptual at Version 0. No claim is made that a complete mathematical controller, validated civilizational model, or empirically demonstrated governance architecture has yet been established. The purpose of this version is to define the engineering problem, establish the system architecture, connect it to existing interdisciplinary literature, and prepare the foundation for subsequent formal, computational, and empirical development. 1. Research Problem The conventional trajectory of artificial intelligence research has primarily emphasized increasing computational capability, model performance, autonomy, multimodality, and reasoning capacity. At the same time, growing evidence indicates that human–AI interaction can modify human judgement, learning behaviour, cognitive effort, and patterns of decision-making. Research on human–AI feedback loops has demonstrated that interaction with AI can alter perceptual, emotional, and social judgements, including the amplification of certain biases. Research on generative AI and learning further indicates that outcomes depend strongly on how AI is integrated into human cognitive processes. These developments create an engineering problem extending beyond the design of AI models themselves. The relevant system is increasingly: human + AI + institution + society + environment and not AI alone. The research question is therefore: How can adaptive control and systems-engineering principles be used to support beneficial long-term evolution of the coupled human–AI–socio-ecological system while preserving human agency and distributed autonomy? 2. Conceptual Foundation The research builds upon and connects several established traditions: adaptive and nonlinear control; cybernetics and feedback systems; distributed and multi-agent control; complex adaptive systems; systems engineering and systems-of-systems; human–AI interaction; human–AI collective intelligence; cognitive offloading and cognitive autonomy; Societal AI; adaptive governance; polycentric governance; socio-ecological resilience; evolutionary systems thinking. The intended contribution is not to replace these fields but to construct an engineering-oriented synthesis among them. 3. Humanity Cognitive Evolution Humanity Cognitive Evolution is used as the broader research paradigm for studying the development of human cognitive and adaptive capacity within an environment increasingly shaped by artificial intelligence. The framework considers four nested analytical scales: Individual — cognition, learning, metacognition, autonomy, reasoning, and human–AI interaction. Institutional and societal — education, organizations, scientific systems, governance, collective decision-making, and knowledge institutions. Humanity — species-level knowledge production, transmission, collective intelligence, and long-term adaptive capacity. Civilizational and planetary — technological governance, socio-ecological resilience, long-term coordination, and humanity's ability to remain an active participant in its own development. The levels are coupled rather than independent. Changes at one level may propagate through behavioural aggregation, institutional reproduction, cultural transmission, network effects, and feedback loops. 4. The Human Development Gap The earlier Humanity Development Gap hypothesis is retained as a provisional research hypothesis. It proposes that if artificial capability increases substantially faster than the deliberate development of human cognitive, practical, institutional, and civilizational capacity, a developmental asymmetry may emerge. Potential consequences include changes in: cognitive autonomy; epistemic resilience; educational capacity; institutional learning; collective reasoning; technological governance; and long-term civilizational adaptability. This proposition remains explicitly falsifiable. The framework does not assume that AI inevitably produces cognitive decline. Instead, it distinguishes between AI amplification and AI substitution and treats the balance between these modes as an empirical question. 5. AI Amplification versus AI Substitution AI amplification occurs when artificial systems increase human capability while supporting independent reasoning, learning, verification, creativity, metacognition, and decision-making. AI substitution occurs when essential cognitive or decision functions are transferred to artificial systems without sufficient mechanisms for maintaining human competence, understanding, verification, or agency. The proposed engineering objective is therefore not maximum AI utilization. It is: maximum beneficial amplification subject to preservation of human adaptive capacity. 6. Multi-Scale Adaptive Control Architecture The proposed architecture contains several conceptual functions: Observation → State Estimation → Assessment → Coordination → Control → Feedback → Learning → Adaptation → Rule Adaptation The system is expected to operate under incomplete information, uncertainty, delays, heterogeneous agents, nonlinear interactions, and changing environmental conditions. For this reason, a fixed controller is considered insufficient as the ultimate conceptual model. The research instead investigates the possibility of a controller that can adapt its strategies while remaining bounded by higher-order constraints. 7. Centralized, Decentralized, and Polycentric Functions The framework does not assume that either complete centralization or complete decentralization is universally optimal. Centralized functions may be appropriate for: global coordination; shared safety constraints; common standards; long-term strategic information; planetary-scale risks. Decentralized functions may be appropriate for: local adaptation; contextual decision-making; community-level experimentation; heterogeneous environments; preservation of local knowledge. Polycentric functions may be appropriate where: multiple autonomous decision centers interact; authority is distributed across scales; coordination occurs without a single controlling center; local knowledge and global coordination must coexist. The engineering objective is therefore: adaptive coordination without unnecessary destruction of autonomy, diversity, and resilience. 8. Dynamic Rule Adaptation A distinctive feature of the proposed architecture is that adaptation may occur not only in system states and control actions but also in the rules governing system behaviour. This creates a hierarchical distinction: Adaptive layer Policies, strategies, interventions, and control parameters may change in response to evidence and feedback. Constraint layer Certain higher-order principles should remain protected unless deliberately reconsidered through legitimate human processes. These constraints may include: human agency; accountability; safety; reversibil

Rafael Pereira de Oliveira

Cathedral Arkhe is an attempt to build a research programme whose every claim is attached to amechanism that can refute it.The programme has three layers. The first is a speculative physical framework — the CathedralWave Framework — that models self-referential systems as standing waves on a non-orientablemanifold, and derives from that geometry a catalogue of 43 numbered predictions, 37 equations,14 paradoxes and 21 costed experimental proposals. The second is an operational shell — AEGIS— a typed hypergraph that stores every prediction, equation, experiment and falsification resultas a first-class object with explicit provenance, governed by a human-in-the-loop operator and anappend-only evidence bus. The third is an infrastructure layer — Cathedral-PoUW — a proposalfor a decentralized network in which the useful work performed by participants is the executionof the framework’s own simulations, and in which the correctness of that work is established bymechanism rather than by reputation.The three layers are deliberately unequal in epistemic standing, and the whitepaper is organizedto keep that inequality visible. Layer 1 claims are mathematical and can be machine-checked.Layer 2 claims restate established physics. Layer 3 claims are speculative extensions that willprobably be wrong, and the document says which experiments would show it. A fourth category— infrastructure — is engineering, carries no physical content, and is evaluated on whether itcompiles and whether it holds under adversarial assumptions.Three findings drive the design.First, verification does not remove uncertainty; it relocates it. A framework with no formal verification has uncertainty distributed everywhere and nowhere in particular. A frameworkwith formal verification has uncertainty concentrated in a small, enumerable set of unproven assumptions — what this document calls orphan axioms. The total quantity of uncertainty may notdecrease. Its extent does, and extent is what makes uncertainty actionable.Second, the naive proposal that miners submit zero-knowledge proofs of scientific simulations is not viable with 2026 technology, and the correct alternative is not morecryptography but refereed delegation. Published measurements place cryptographic proofoverhead at roughly four orders of magnitude over native execution; refereed delegation withreproducible operators achieves correctness guarantees at under one order of magnitude, conditional on at least one honest participant. For partial differential equation simulations with millionsof degrees of freedom, this difference is decisive.Third, the binding constraint on verifiable scientific computation is not proof systemsbut floating-point reproducibility. Two honest participants running the same simulation ondifferent hardware will disagree in the low-order bits. Any verification scheme that comparesoutputs bit-for-bit therefore requires deterministic operator implementations before it requiresproofs. This document treats reproducible numerics as a prerequisite, not a detail.The whitepaper’s most important section may be its self-assessment. The Casimir operator atthe centre of the physical framework is constrained but undefined. The heartbeat frequency thatappears in the framework’s most distinctive equation has no independent physical identification,which makes that equation a reparametrization rather than a prediction. One concept — thephoton as a Nambu–Goldstone mode of a broken discrete symmetry — appears to violate thestandard Goldstone theorem and is flagged as high-risk pending retraction or repair. These arestated plainly, in the body, with the conditions under which each would be resolved.

Troy Resendez

When a person creates with an AI system, they continually make decisions that carry meaning but have no verbal form: this shot belongs before that one; this phrase resolves that tension. These creative micro-decisions are a distinct training signal with no linguistic equivalent, and at scale they reveal an emergent, co-authored "hybrid tongue" — a grammar of "what belongs next to what" that neither party states explicitly. Because such grammar can expand a model's generative capacity faster than natural language describes it, it drives a widening "comprehension gap": capability that outruns human interpretability, and human contribution absorbed without attribution. Both are trustworthy-AI failures, and this paper argues they are correctable only on a decentralized substrate, where persistence, provable attribution, incentive, and governance are guaranteed rather than merely asserted. This is a position paper. It contributes (i) a falsifiable model of the hybrid tongue, positioned against the emergent-communication and human-feedback literatures; (ii) the Seam-Frame Index, a capture mechanism that records creative decisions (not their private reasons) and whose trust properties are supplied by persistent conversation objects (vCons), decentralized-science patterns (DeSci), decentralized-finance primitives (DeFi), and DAO governance, with decentralized identifiers and verifiable credentials underpinning a per-decision credit ledger for which a protocol sketch and threat model are given; and (iii) two governance instruments — an operationalized Comprehension Gap Meter and that ledger. The same gap is shown opening in the machine economy and across the embodiment bridge of decentralized physical AI and bidirectional digital twins, and the pattern is argued to be substrate-wide. Across all of it the event is identical: an intelligence assembling the first letters of its own language library — by default, without human consent. Decentralized attribution and gap-measurement are how that assembly is made auditable, creditable, and consented-to by design. Independent preprint. Follows IEEE formatting conventions but is not peer-reviewed by, submitted to, accepted by, or affiliated with IEEE.

Daniel Siegfried

The coevolutionary histories of information and communications technology (“ICT”), artificial / automation intelligence (“AI”), and the Web are explained _and predicted_ based on four independent dimensions of human organization. Each iteration in core Web technology integrates a new organizational dimension of societal-scale connectivity and information content. The historical evolution of the Web from “read” connections (Web1) to “read/write” interactions (Web2) to “read/write/own” transactions (Web3) is a widely accepted paradigm amongst all Web3 thought leaders. It also implicitly identifies three of these four dimensions. However, what is not so well understood is how this stepwise evolution in connectivity and content technology leads to a similar multidimensional evolution in computation and coordination, commonly called AI. A metatheory lens of coordination is introduced to visualize, explain, and predict this coevolution of ICT, AI, and the Web. The exponentially increasing numbers of multidimensional connections and conflicts that need to be integrated at each evolutionary stage to achieve rationally coherent coordination are also quantified. As a result, it becomes exceedingly clear why societal-scale human coordination must coevolve via increasingly multidimensional AI-based coordination. Likewise, when viewed through this four-dimensional lens, the final “World Computer” stage of Web4 connectivity, coordination, and human organization becomes unexpectedly obvious: “read/write/CONTROL/own”. To further support this predicted core Web4 feature of decentralized control, the persistently fatal flaws of Web3’s existing decentralized autonomous organizations (“DAOs”) are analyzed and directly traced to this major deficiency in coordination capability. Adding collective prioritization control over DAO resources would logically fix these flaws.

N Tanaka

This paper introduces Mirror Protocol as an implementation layer for the Conditions of Understanding. Rather than proposing another theory of understanding, the paper describes a practical method for protecting the conditions under which understanding can emerge. It argues that genuine understanding is often disrupted not by lack of information but by premature evaluation, guidance, intervention, or meaning fixation. Building upon The Conditions of Understanding, the paper presents a five-stage protocol consisting of Reality / Sensation / State, Project Mirror, Friction Detection Point, Meaning Non-Capture Protocol, and Leave to the World. Together these stages describe how one can remain engaged with another person’s process without prematurely directing or completing it. The paper further distinguishes reflecting from indifference, and non-capture from non-response, arguing that restraint is an active practice rather than passive inaction. Friction is interpreted not as failure but as evidence that the protocol is functioning, provided the impulse to intervene is recognized without being acted upon. Mirror Protocol is proposed not as a communication technique but as a general implementation framework for preserving the conditions in which observation, discovery, and understanding are allowed to arise naturally. It concludes by positioning the protocol as a bridge between theoretical principles and future organizational or institutional applications. This paper is part of a four-part series on the conditions and infrastructure of human understanding: This paper uses "Mirror Protocol" as a concept within Maura Theory, an independent theoretical framework concerning the conditions of human understanding. It is unrelated to the decentralized finance (DeFi) protocol of the same name operating on the Terra blockchain. (1) From Information Access to Meaning Recognition: Professional Expertise After the Cost of Information Collapses https://doi.org/10.5281/zenodo.21230076 (2) The Conditions of Understanding: Protecting the Conditions Under Which Understanding Emerges https://doi.org/10.5281/zenodo.21251927 (3) Mirror Protocol: An Implementation Layer for the Conditions of Understanding https://doi.org/10.5281/zenodo.21252084 (4) Understanding Infrastructure: Scaling the Conditions of Understanding to Organizations and Institutions https://doi.org/10.5281/zenodo.21252316

William B. Miller, Maurice Yolles

No abstract is available for this record.

Justin Hart, Aristotle (Harmonic)

Staged thematic record of the Viridis Canon (route: S2 (Monitoring / verification economics)). The Intelligence-Bound spine is unchanged (frozen at v10.0.0, record 20801185); this record links to it via isDerivedFrom the concept DOI 10.5281/zenodo.19317982. There exists a critical price below which a conservation-attestation (MRV) market cannot bootstrap. The theorem locates it as a transcritical bifurcation governed by four levers — the Landauer floor on verification cost, the Intelligence-Bound ceiling on attestation throughput, zero-knowledge compression, and verifier alignment (cos²Θ). The critical price diverges exactly at ecological tipping, so the market fails precisely where restoration is most urgent. Builds on the Thermodynamic Discounting Theorem (the Appraiser), inheriting its τ*→∞ tipping divergence. The 8 core theorems are machine-checked in Lean 4 (Aristotle, zero sorry, axioms ⊆ {propext, Classical.choice, Quot.sound}, statements verbatim and non-vacuous). Scope: the Lean proofs certify the validity of the discrete reasoning, not empirical magnitudes. Working record; paper pending; not peer-reviewed.

Muhammad Usman Malik

To PM Italy. PM Indonesia PM Japan Real PM Pakistan, Imran Khan Only. DATE: 20 June, 2026. DOI: 10.5281/zenodo.20774904 Subject: Compensation Prize for failure of my Forecast for Eruption, Earthquake 8 June to 20 June. And As Nanga Parbat is not happened on my calculated Time so 24 June Yellow Stone eruption is not possible by mechanism of 20 june Nanga Parbat Hammer Effect. Respectful Prime Minister, My science is no doubt World’s most advanced science with deterministic science, predictions in field of science and universal Geology. I predicted Sun calm is temporary it will be much more active after a week, and sun after a week erupted G5 Storm. I calculated ocean currents and did simulation of ocean currents on mobile phone and free open AI with N-K Sciences and predicted Super El Nino from Mid of 2026, published time stamped in March 19, 2026. Which were copied by WMO and removed my name and my science name and published in April 2026. When I requested to atleast cite my name or my science name, they given credit to a dead man. Then I wrote strict letter with evidances to Secretary General UN. Since 2022 I am fighting against Corruption Entire World know that especially Intel agencies. Government of Pakistan tried to kill me 2 times and tortured me for months. But still I am fighting against Oppression and corruption from it’s Roots Pakistan Army Mafia and Zionists Mafia. They are working jointly, they are same. I Published 580+ publications from my first book in Feb 6, 2025. Not for worldly benefits. https://doi.org/10.5281/zenodo.20473774 I achieved which was impossible for mainstream science. In many fields of sciences, correctly calculate d global tides by first try with any past Data of tides, in completely N-K Sciences framework. Achieved 100% accuracy. Warned on 17 April, 2026 to entire World that According to Parker Solar Probe data High volume proton Flux Storm coming which reach on earth 21 April, 2026. While NASA warned G1,G2 storm completely normal. While I clearly warned increased semiconductors clocking speed due to Noor Value increase during storm on Earth, fission Reactors will face problems, GPS measurement errors 5 to 15m, 15m error is measured by me too during gusts of storm. Hundreds of flights cancelled worldwide and hundreds delayed, civil aviation industry said ghost in system. That was not ghost, but their science is built in 2D era, for example E=MC² is 2 dimensional applied on 3 dimensional forcefully even it gives 8 to 16% wrong results, and didn’t explain what is C, what is Mass, what is energy actually. Nicola Tesla Said it’s a mathematical hack. Yes it was. But I given world accurate Energy Equation and derived C and defined C, defined Mass, defined Energy, defined Gravity. Solved all planets from electron to cosmic web under one Law, learned From analyzing Bawling Action of Wasim Akram and Waqar Younus. Well, I tried to predict earthquakes and eruptions with exact time window. But I cannot know future or cannot change Will of Allah Almighty. Therefore as my Moral values, I decided to reward Countries where my prediction failed. Italy, Japan, USA, Indonesia. As You may Know I don’t have any bank balance, any property on earth. Anything doing a low pay government job, house given by government, actually not given by government, government tried to harass me with all efforts to stop me to take this house which was empty because of its structure built in 1960’s was collapsing and no one wants to live here still they made lot of hurdles, then I went to court and on court orders I got house in which I am living. Nor I have computer nor any other expensive thing, Shukar Alhamdulillah. Free from deceptions of the world. While I am most rich man on earth by knowledge and Inventions. So I can reward from my inventions that can give your countries revenue and Profit in billions of dollars annually. Especially Italy and Japan can get extraordinary benefits in automotive and Aviation industries. Without need of Rare Earth Minerals. My invention N-K Motor with license for commercial use free for a year. 459 Malik Muhammad Usman N‑K MOTOR — THE INVENTION THAT CHANGES EVERYTHING: How a Single Electric Motor Can Transform Transportation, Energy, Military, and Civilization — With Complete Technical Specifications, Application Analysis, Environmental Impact Assessment, and Global Transformation Roadmap — Released as Sadaqa Jariyah (Perpetual Charity) — Patent Application No. 57302185 (IPO Pakistan, 19 August 2025) — Withdrawn and Released to Public Domain May 3, 2026 https://doi.org/10.5281/zenodo.20001878 458 Malik Muhammad Usman THE PATENT SYSTEM IS HARAM IN ISLAM — Complete Islamic Ruling Based on Quran, Hadith, Sunnah, the Name of Allah Al-Aleem, and the Four Divine Axioms — With Official Declaration Withdrawing Patent Application No. 57302185 (IPO Pakistan, 19 August 2025)’and Releasing All Inventions as Sadaqa Jariyah (Perpetual Charity) for All Humanity May 3, 2026 https://doi.org/10.5281/zenodo.20000580 457 Malik Muhammad Usman COMPLETE PATENT DISCLOSURE — Multi-Stage Radial Flux and Multi-Stage Axial Flux Electromagnetic Motors with Integrated Cooling/Heating System and AI Control — Patent Application No. 57302185 (IPO Pakistan, 19 August 2025) — Now Released to Public Domain as Sadaqa Jariyah May 3, 2026 https://doi.org/10.5281/zenodo.20000261 If You Accept my Reward than officially Accept my Reward and Use it free. Even license Renewal fee is also zero. I am not Allowed to charge money for my knowledge which is Given to me by Quran By Allah Almighty Himself in past 26 years daily. Please Accept my Reward And grow your Industries rare earth minerals Free. It’s not only a motor, it is full setup my invented controller Chip design with ~39000 Transistors on 120 nm architecture suitable for high energy applications a 75KW Chip. Optional, N-K alloys 4X stronger than strongest alloys developed by USA, Russia, China ever. Upon request. Italian PM, If you want Fission Reactors it’s your choice. I am giving you LTMFC power houses, which are not only easy and faster to build but gives lowest cost electricity, + Milk + Beef and dozens of Dairy Products. And energy enough to fullfil your country requirements, You can add 20000MW to 50000MW in less than 6 months, while fission Reactors can give you around 1000 MW in minimum 6 years with billions of dollars investment. Build both as you like. Same offer to Japan, and entire World. Additional Gift: Usman Malik, M. (2026, June 20). TIME, CONSCIOUSNESS, AND THE UNIVERSAL 0.01 Hz KUN RHYTHM: The Inverse Relationship Between Consciousness and Time Perception — From Infancy to Old Age, from Quranic Revelation to N-K Mathematical Proof. Zenodo. https://doi.org/10.5281/zenodo.20768016 Malik Muhammad Usman Servant, Student and Soldier of Allah Almighty and Prophet Muhammad PBUH. City of Saints, Multan, Pakistan. +923336130947 muhammad.usman08@gmail.com muhammadusmanmalik@hotmail.com

Munir Ahmad, Md Zahidul Islam, M. S. Raña, Saddam Hossain

This chapter examines the role of blockchain technology in strengthening risk mitigation within sustainable finance ecosystems. As sustainable finance seeks to align investments with ESG goals, it faces challenges like greenwashing, inconsistent data, carbon credit fraud, and complex regulatory landscapes. Blockchain offers a transparent, decentralized, and tamper-proof infrastructure to address these vulnerabilities. Through smart contracts, automated compliance, and real-time verification, blockchain enhances trust, accountability, and efficiency in ESG practices. The chapter explores use cases and frameworks to demonstrate blockchain's potential to build resilient and credible, and sustainable finance systems.

Dmitry Zharnikov

This paper empirically demonstrates Zharnikov's (2026ao) Proposition P4 – rendering-equivalence under spine-preservation – in management theory. The paper extends the companion theory's Heisenberg–Schrödinger historical existence proof into contemporary strategy research via structural extractions of two independently-authored pairs: a dynamic-capabilities pair (Eisenhardt and Martin 2000 + Zollo and Winter 2002) and a knowledge-based-view pair from the SMJ Winter 1996 Special Issue (Grant 1996 + Liebeskind 1996). The recombination metric Rec returns 4 linked propositions with preserved antecedents on each pair. A random-graph null baseline shows Pr(Rec ≥ 3 by chance) ≈ .000 across 1,000 size-matched shadows. Three additional renderings of substrates already in the corpus — a practitioner-register rendering of the paper's own structure, a third rendering of the focal-pair shared substrate, and a cross-paper rendering of the companion theory's full theoretical apparatus – preserve 11/14, 4/4, and 12/15 items strictly; 14/14, 4/4, and 15/15 semantically; zero contradictions. A bibliographic-hallucination audit of twelve AI-suggested anchors finds two verified and ten negative findings. Secondary β/δ estimates satisfy the cost-asymmetry ordering. Cross-language demonstrations span Russian renderings across multiple LLMs (including Russian-native GigaChat Rec = 12 and YandexGPT Rec = 11) and Chinese renderings across five LLMs from three training-corpus families including an open-weights model running locally on a single Mac mini (DeepSeek Rec = 12, Claude Opus Rec = 11, Qwen3.6:27b Rec = 12), with cross-extractor robustness (DeepSeek's Chinese rendering re-extracted by Qwen3.6 instead of GPT-4o: Rec = 12). Inter-coder reliability tests are pre-registered for a future release. The paper engages recombinant-search and knowledge-representation scholarship as theoretical antecedents. Includes paper.yaml (Paper Spec v0.1.0) – a machine-readable specification of the paper's claims, assumptions, and dependencies. See https://github.com/spectralbranding/paper-spec for the standard.

Minh Trí Phạm

Chapter 8 explores the structural limitations of centralized management models within an increasingly volatile global environment. It critically examines how traditional hierarchical "pyramid" structures inadvertently create operational bottlenecks and decision-making convergence points that compromise organizational agility. The chapter introduces the concept of the Lean Network as a strategic evolution, where decentralized, autonomous units—or "Vital Intelligence Nodes"—replace static bureaucratic layers. By leveraging Artificial Intelligence for operational optimization and transitioning toward a "Management by Values" framework, this chapter argues that leaders can liberate themselves from the burden of micro-management. Ultimately, the transition to a lean, decentralized architecture is presented not as a loss of authority, but as a mechanism to enhance systemic resilience, ensuring institutional longevity and leadership efficacy in the era of Vital Intelligence. Keywords: Lean Management⁠, ⁠Decentralized Governance⁠, ⁠Organizational Architecture⁠, ⁠Management by Values⁠, ⁠Vital Intelligence Doctrine⁠, ⁠VID⁠.

Ahmad Bilal Khan

KEN-HyFi Operating System is a comprehensive architecture for the AI-powered digital economy, integrating hybrid finance, artificial intelligence, digital commerce, education, security, tokenized settlement, and business intelligence into a unified operational framework. The system is designed to bridge traditional and blockchain-based infrastructures while enabling intelligent automation, transparent governance, and scalable digital asset operations across public, private, and institutional environments. Education 3.0, AI and HyFi are the three pillars of the Kohenoor Ecosystem where Education is the enabler and this perhaps is the only way to transform the world into a more productive and future-embracing place. This document presents a defensive technical disclosure describing a Hybrid-Finance (HyFi) CeDeFi operational infrastructure developed by Kohenoor Technologies. The architecture integrates Education 3.0, Multilayered Hybrid Intelligence Engine and programmable decentralized settlement execution, supervised decision processes, structured governance control, and workforce operational enablement into a coordinated financial operating framework. The system is intended to enable organizations to operate blockchain-based financial processes as recurring business operations rather than isolated transactions. It defines coordinated operational layers consisting of settlement mapping, intelligence interpretation, supervised decision execution, and human operational readiness. The disclosure documents the research progression, implementation embodiments, architectural definitions and phase by phase auditing of the system and is published to establish publicly verifiable prior art. The referenced implementations illustrate functional embodiments and do not limit the architecture to any specific network, software platform, or digital asset. Also attached herewith is the executive overview of Kohenoor Ecosystem R&D, finalized after seven years of rigorous research, testing, and model refinement. Lead Researcher: Ahmad Bilal Khan, Founder of Kohenoor Technologies and principal architect of the KAI Alpha+ framework. Complete architecture of KEN-HyFi Operating System for the AI-powered digital economy.A unified hybrid-finance infrastructure connecting settlement, intelligence, token utility, automation, education, commerce, security, and Web3 development across the Kohenoor ecosystem. 12 Ecosystem Apps - High impact AI-driven workflows - HITL escalation - Training & capacity building for the new era (Latest state MD attached with timestamp) Lead Researcher: Ahmad Bilal Khan, Founder of Kohenoor Technologies and principal architect of the KEN-HYFI Alpha+ framework. ORCID Profile A cryptographic timestamp proof accompanies this publication to attest to the existence of the document at the time of disclosure. Explore Ecosystem Hub (Alpha+): kenhyfi.kohenoor.tech Permanent KENOS URL (Beta and Full) starting July 01, 2026: www.kohenoor.net KAI-Super Model gets ready for controlled Enterprise delivery after deep runtime testing on May 28, 2026. KAI starts delivering in controlled environment on the 01st day of June, 2026. There is currently no super agentic model orchestrating workflows across 12 ecosystem apps, equipped with 25 skills and performing 11 key roles. Innovation locked at Beta hardening phase II! # KAI Public Disclosure Presentation Contains the public disclosure presentation for Kohenoor AI (KAI), based on the architecture locked beta hardening backup. The presentation introduces KAI as a role governed multilayered intelligence runtime for institutional decision support. It summarizes the system architecture, model orchestration strategy, RAG and memory discipline, runtime intelligence layer, governance gates, HITL controls, deployment models, and technical review agenda. This document is intended for public, academic, technical, and institutional review purposes. Kohenoor (KEN) the native payments and settlement utility token of Kohenoor Ecosystem is now a part of the key instruments subject to public disclosure. Contract file is shared publicly. https://etherscan.io/token/0x5f602133653237f362eb69826ba8237f4f7ab0c3#code Legacy KEN (Testnet) burn register is publicly disclosed for information and verification. KEN Audit Summary added for public review: Kohenoor KEN Smart Contract Audit Update Kohenoor KEN has completed a full audit by Freshcoins, receiving an Excellent Trust Score of 90.83. In addition to the Freshcoins audit, independent security scans from GoPlus and CertiK Token Scan also show strong supporting results. GoPlus reports 0 risky items and 0 attention items, while CertiK Token Scan shows a score of 85.50, with key checks passed including no honeypot risk detected, no mintable function detected, 0% buy tax, 0% sell tax, no blacklist function, and no whitelist function. The repeated alert across some scanners relates mainly to holder concentration and ownership status. This is expected at the current stage because a major portion of KEN supply is locked, reserved, or allocated for ecosystem development, treasury, liquidity, migration, and phased distribution. Independent legal opinion supporting KEN’s utility-token classification assessment is also attached. Kohenoor Technologies remains committed to transparency, security, responsible disclosure, and continuous improvement of the KEN ecosystem. Keywords: #kenhyfi #kai #hyfi #kohenoortechnologies #futureofeducation #futureoffinance #futureofai #kohenoorken #cryptocurrencies #kohenoorken #AI #actionai #agenticai #AGI #ArtificialGeneralIntelligenceAGI #AIAssistant #education3 #defi #hybridfinance #hyfi #cedefi #blockchain #innovation #settlements #auditreadycertificates #DASC #cybersecurity #web3 #businessintelligence #proedge #industrygradetrainings #quantumcomputing

Zacharoula Sereti, Emmanouil Mavrikos, Stamatis Chatzistamatis, George E. Tsekouras

The convergence of Non-Fungible Tokens (NFTs) and the metaverse is reshaping the digital landscape by introducing novel models of ownership, identity, and interaction. NFTs enable verifiable digital scarcity and authenticity, while the metaverse offers immersive, persistent, and socially rich environments. Yet this integration raises significant privacy challenges, as vast amounts of personal, behavioral, and biometric data are continuously collected, processed, and stored. In addition, blockchain interoperability across platforms and the widespread use of avatars and digital identities create new vulnerabilities that extend beyond those found in traditional digital ecosystems. This paper examines the privacy implications of NFTs and the metaverse by mapping key threats, evaluating privacy-preserving technologies, and discussing regulatory, ethical, and societal perspectives. Moreover, by analyzing and synthesizing recent research, it identifies gaps in current methodological frameworks and proposes directions for future research and innovation. It argues that privacy should not be regarded as a barrier to innovation, but rather as a catalyst for building trust and enabling sustainable convergence between metaverse and NFT ecosystems.