Tendermint is among the most widely studied and deployed Byzantine fault-tolerant (BFT) consensus protocols, owing in part to its native leader-rotation mechanism that subsumes complex view changes. Like most partially-synchronous BFT protocols, Tendermint tolerates $f 5f$ setting that decides in two communication steps in the good case, while preserving Tendermint's leader-rotation structure. Fast Tendermint collapses Tendermint's prevote and precommit steps into a single voting step and merges the $locked$ and $valid$ state. We give proofs of agreement, validity, and termination, and a formal specification in Quint, a modern surface syntax for TLA+, used to model-check the protocol.
Zeta Avarikioti, Dimitris Karakostas, Karl Kreder, Shreekara Shastry
Our work presents a defense mechanism against Maximal Extractable Value (MEV) opportunities in distributed ledgers. The mechanism relies on the idea of enforcing a verifiable delay when generating transactions, such that a block creator cannot react to the appearance of a MEV opportunity without breaking liveness. We present positive results both in the Byzantine setting and in a game theoretic model of rational participants. We additionally present negative bounds that outline the limitations of this line of defense. Finally, we explore real-world implementation details of verifiable delays and show that, based on historical MEV data, our mechanism could realistically help prevent most existing MEV threats.
Sofia Bobadilla, Humaira Afrin, Angela Novelli, Martin Monperrus
Blockchains are among the most adversarial environments in computing. Billions are stolen by cybercriminals who exploit vulnerabilities. This is an open problem and no concept or technique has proven to really make a difference. In this paper, we claim that the classical notion of program invariant is perhaps the most powerful solution to the problem. We devise anoriginal experimental protocol to 1) study how invariants would have protected against past real-world attacks and 2) whether state-of-the-art automated tools can find them. The experimental toolchain is sophisticated. It is based on INVARIANTEVAL, a benchmark of 28 real Ethereum exploits, each paired with a human-authored invariant that blocks the attack. We validate every invariant with PONDEREPLAY, a replay framework that re-executes transactions in order to prove the correctness and soundness of smart contract invariants. We demonstrate that smart contract invariants block all the cybercriminal attacks in INVARIANTEVAL, fully validated by replaying 108,637 historical transactions. Our large-scale experiments clearly demonstrate that smart contract invariants protect against cybercriminals.
Public blockchain data enables large-scale DeFi-related analysis, but many existing approaches are application-specific, difficult to scale, or hard to interpret. This research proposes a scalable, application-agnostic framework for \emph{persistent behavioural pattern discovery} from large-scale blockchain activity. It constructs behaviour sentences enriched with contract, token and market context, then applies a two-step embedding process: sentence-level embeddings capture individual actions, while sequence-level embeddings capture user behaviour over time. An interpretable behavioural profiler characterizes discovered communities through behavioural motifs, routines, temporal dynamics, entity exposure, and suspiciousness evidence. Evaluation on Ethereum using over 30 million transactions shows that the framework uncovers both routine and malicious behavioural patterns, including decentralised exchange (DEX) trading, NFT activity, phishing, bot operations, oracle manipulation, and rug-pull schemes. Importantly, many patterns remain stable across independent observation windows, enabling the identification of long-term behaviours beyond a single analysis period. The proposed framework combines scalability, interpretability, and persistence analysis, supporting blockchain forensic investigation, behavioural attribution, and threat discovery.
Quantum Cellular Theory of Space: A Testable Cosmological Model of a Dividing Causal Network Author: Martin JámborState of knowledge captured as of: 9 August 2026 Quantum Cellular Theory of Space is a research hypothesis in which space is not a fundamental continuous stage but the macroscopic manifestation of a discrete local network. In this picture, observed spacetime, matter, and fields would be emergent descriptions of the collective behaviour of its cells. The theory asks whether one physical substrate can explain the common origin of cosmic expansion, accelerated expansion, the formation of matter, an unseen clustering component, a relativistic relic, the propagation of light, and physical irreversibility. This is not a biological model. The terms cell, fuel, ash, steam, and scar denote distinct roles in the energy and state description of the network. The hypothesis is not yet an experimentally confirmed replacement for general relativity, quantum field theory, the Standard Model, or standard cosmology. In domains where those theories are validated, it must reproduce their successful laws and observational bounds. Its contribution would lie in deriving their common microscopic origin or predicting a new measurable deviation. Physical picture The basic working idea is that cells of space can locally rearrange or divide. Macroscopic expansion would then be not motion into an external void but a change in the number and arrangement of the degrees of freedom from which space emerges. The energy component that enables rearrangement is called fuel. In the effective cosmological description it has pressure close to vacuum pressure, and it can therefore carry part of the physical role attributed to dark energy and accelerated expansion. Energy and momentum must remain conserved when fuel is processed. The model investigates three possible output channels: matter as stable or long-lived excitations; ash as a nonrelativistic gravitationally clustering residue that may take over part of the role of dark matter; steam as a relativistic or freely propagating share of the energy that may leave an imprint in the early radiation or thermal background. It has not yet been determined which channels actually exist, what their fractions are, or whether they arise in parallel, sequentially, or through mixed branching. The answer must come from a common local law and observations, not from a verbal choice of mechanism. A scar is a candidate persistent change in the internal state of a cell or its links after a physical event. It is intended to carry local memory and may provide a basis for the arrow of time. It has not yet been shown whether the same mechanism can also explain a single outcome of a quantum measurement and the Born rule. Light is investigated as a wave or excitation of the common substrate. If light, matter, clocks, and measuring rods are all realizations of the same network and share one local light cone, all inertial observers may measure the same limiting c. This objective still requires derivation of the photon sector, a common metric, boost symmetry, absence of impermissible birefringence, and the equivalence principle. Central mathematical bridge The global mean-field effective overhead of rearrangement is written as delta = 1 / (<k> + C) where <k> is the mean number of face neighbours in the reference Poisson–Delaunay network and C is the working internal capacity of a cell. For <k> = 48 pi^2 / 35 + 2 ≈ 15.535 C = 28 this gives delta ≈ 0.02297 This overhead is connected to the effective equation of state of fuel: p_f = (-1 + delta) rho_f w_f = p_f / rho_f = -1 + delta The fluid form is the same as in modern cosmology; what differs is the proposed origin of w_f+1 in the geometry and capacity of the network. The value C=28 is read as the number of bosonic states in the restored phase of the Standard Model, but this identification does not yet have an independent microscopic derivation. The arithmetic 16_gluon + 8_EW + 4_Higgs = 28 counts the four real Higgs directions as already including the three directions that become Goldstone modes; it does not add them a second time. It remains open why cell capacity should count precisely bosonic and not fermionic degrees of freedom. Because the value 28 was chosen before this link was fully derived, its success in downstream calculations is not independent confirmation of the theory. If the local degree of the network varies, the overhead of one cell would have the form 1/(k+C) and its average would be <1/(k+C)>. Jensen's inequality then gives <1/(k+C)> >= 1/(<k>+C) with a strict inequality when the degree has nonzero variance. Without the distribution P(k), the value 0.02297 is therefore the mean-field value and a lower bound for this locally averaged branch, not a calculated local overhead. Cosmological background For x=ln a, the effective homogeneous model uses the densities of fuel rho_f, ash rho_c, baryons rho_b, and radiation rho_r: d rho_f/dx = -3 delta rho_f - lambda (H0/H) rho_f d rho_c/dx = -3 rho_c + lambda (H0/H) rho_f d rho_b/dx = -3 rho_b d rho_r/dx = -4 rho_r H^2 = (8 pi G / 3) rho_total Transfer between fuel and ash has opposite sources in the homogeneous description: Q_f = -Q_c = -lambda H0 rho_f The total background energy ledger is therefore conserved. lambda describes a family of effective transfer rates, not a derived constant of nature. The calculations use the data-calibrated reference point lambda=0.15; it is neither an independent prediction nor the only allowed value. The separately examined points 0.10 and 0.15 do not establish that the whole interval between them is allowed. A continuous physically admissible range must still pass stability, the null limit, and a joint comparison with BBN, CMB, BAO, structure growth, and lensing. Data used to select or normalize the reference point cannot be counted again as its independent confirmation. One homogeneous universe must have one expansion history H(a), independent of the Fourier mode later used to describe a perturbation. The early dimensionless perturbation coordinate z = k a / [H0 sqrt(Omega_r0)] must therefore not enter the background as a physical global scale. For p=4-3 delta, the mode amplitude is written as Phi(k) = A_f [H0 sqrt(Omega_r0) / k]^p which yields the homogeneous fuel term Phi(k) z^p = A_f a^p For the inputs used here, A_f=7809.270101963506. This is a conditional normalization of the specified background, not a new universal constant or a separate fit to observations. Linear perturbations and stability In a simplified nine-variable model with effective perfect radiation, the complete three-mode regular basis, kinetic and gradient signs, characteristic speeds, null limit, static Einstein constraints, behaviour at q={30,300,1000}, and numerical convergence were tested. No forbidden high-frequency growing instability was found within this scope. The result applies only to the stated model. It is not a microscopic no-ghost theorem, a proof of global hyperbolicity, or a complete evolution of photons, neutrinos, baryons, fuel, and ash. Static Einstein constraints alone do not prove their dynamical Bianchi propagation. The scalar cosine-Laplacian operator is exactly even in wave number, so its expansion contains no odd linear term. This property is necessary for a viable discrete scalar sector, but it does not by itself derive full Lorentz invariance, photon dispersion, or the equivalence principle. Quantitative consequences and viability conditions The following values are commitments of the specifically stated formulations. Agreement keeps them viable but does not confirm the cellular mechanism. A robust disagreement can exclude them only after a complete link between the model and the measured quantity, including uncertainties, covariances, and systematics. Quantity or phenomenon Value or physical condition Limit of interpretation extra relativistic relic Delta N_eff=0.0535, hence N_eff≈3.10 Applies to an early-decoupled two-polarisation thermal formulation; the local source, branching, exit, and reheating are not derived. scalar tilt n_s=0.9656 +/- 0.0016 Target of the exact delta/m=1/2 mechanism; the width is neither a new posterior nor an uncertainty derived from the formula. tensor-to-scalar ratio sharp target r<1e-10; broader practical marker r>=1e-3 The complete tensor operator, source, normalization, and B-mode observable map are missing. Hubble constant H0≈66.4 +/- 0.4 km/s/Mpc Condition of the frozen background, not a new global fit or a solution to the Hubble tension. clustering S8≈0.86–0.87 Condition of the simplified growth formulation, not a full Einstein–Boltzmann result. effective CPL description w0=-0.919, wa=-0.612 Joint target of the accounting reconstruction; it is not a microphysical equation of state for fuel. sterile ash no confirmed nongravitational signal A numerical experimental window can be defined only after deriving the mass, spin, abundance, lifetime, and couplings of ash. exact n_s-w relation no active claim The exact formula is not part of the current theory. time drift of delta delta=0.02297 is only a constant benchmark The function delta(a) or delta(x) and a measurable drift window have not been derived. scalar dispersion the odd linear coefficient is exactly zero The result applies only to the stated scalar operator. thermal steam or wave background T≈0.905 K, peak near 53 GHz This is the same thermal commitment as Delta N_eff; identification of the relic with gravitons has not been derived. The thermal result uses the standard entropy arithmetic for an early-decoupled bosonic relic: Delta N_eff = (4/7) g_x [10.75/g_*s,dec]^(4/3) with g_x=2 and g_*s,dec=106.75. The cellular hypothesis adds a possible causal origin of steam in the processing of vacuum fuel, but it does not yet determine what fraction of energy enters this channel or how the relic survives unt
W. C. Yang, J. F. Qiao, J. F. Hu, Jie Wang · 5 authors
This study presents a multi-level verification system for secure communication protocols in energy billing infrastructures. The proposed framework integrates device attestation, network integrity verification, privacy-preserving aggregation, billing validation, and immutable auditing to address security vulnerabilities across Advanced Metering Infrastructure (AMI) communication chains. A Hybrid Secure-Efficient Protocol (HSEP) combining elliptic curve cryptography, homomorphic encryption, and zero-knowledge proofs is developed to provide secure authentication, privacy protection, and verifiable data integrity while maintaining low computational overhead. Experimental evaluation using a large-scale AMI testbed demonstrates that the proposed system significantly improves tampering detection capability, achieving an intrusion detection AUC of 0.94 while maintaining an average energy consumption of 1.55 J per transaction and acceptable communication latency for large-scale deployment. The architecture exhibits strong scalability, robustness, and rapid dispute-resolution performance under multiple attack scenarios. The proposed framework is particularly applicable to wireless smart metering networks and antenna-enabled AMI communication infrastructures, where reliable data transmission, secure protocol verification, and resilience against communication-layer attacks are essential for trustworthy energy billing and grid operation. This work provides an effective engineering solution for secure, privacy-preserving, and verifiable communication in modern intelligent energy systems.
This paper substantiates the theoretical and applied foundations of investment management for forming and developing resilient distribution networks in agribusiness. Under global food market transformations, systemic macroeconomic instability, and geopolitical shocks, conventional linear investment models prove ineffective for long-term planning. To bridge this gap, this research adapts advanced economic frameworks directly to agricultural supply chains, shifting the focus from discrete physical asset valuation to ecosystem-wide synergy. This is achieved by combining classic capital planning with portfolio diversification, real options valuation (ROV), behavioral finance, stakeholder-driven ESG metrics, and decentralized financial tools (DeFi). The study proposes a hierarchical digitization model of the investment process powered by artificial intelligence (AI) and Big Data. This system operates at three spatial levels: national (for comprehensive stress-testing against geopolitical shocks), regional (deploying predictive digital twins of logistics clusters to optimize infrastructure placement), and local (facilitating agile capital allocation and behavioral consumer analysis). This structure ensures capital flows efficiently into highperforming channels while minimizing bottlenecks. To address the trade-off between environmental requirements and financial risks, the study introduces the "Two-Factor Balanced Development Matrix." This model links financial credit scoring with multidimensional ESG profiling. Counterparties are categorized into operational quadrants (e.g., Green Leaders, Traditional Pragmatists, Eco-Startups) to determine customized trade credit lines and commercial terms. Finally, the research outlines integrated risk mitigation instruments, including green trade finance (IFC, EBRD), eco-premium forward contracts, and parametric climate insurance. These measures reduce non-performing loans, lower the cost of capital, and improve the Scope 3 emission rating for distributors.
The rapid development of cryptocurrencies, stablecoins, and central bank digital currencies (CBDCs) has transformed the global monetary landscape and accelerated the transition toward a cashless society. While critics argue that digital currencies threaten financial stability due to volatility, disintermediation, energy consumption, and regulatory concerns, this paper contends that the increasing competition among digital and fiat currencies can generate significant economic benefits. By examining the evolution of cryptocurrencies, the emergence of stablecoins, the global adoption of CBDCs, and the case of Zimbabwe's hyperinflation, this study argues that currency competition encourages governments to pursue more disciplined fiscal and monetary policies, strengthens policy credibility, and helps anchor inflation expectations. Greater monetary credibility also expands policymakers' ability to respond effectively to future economic downturns. Although digital currencies present important risks, many of these challenges can be mitigated through technological innovation, appropriate regulation, and institutional development. Overall, this paper concludes that a wellmanaged transition toward a cashless society can promote competition, innovation, and long-term economic resilience rather than undermine financial stability.
This paper presents a verified funder landscape and fit-score shortlist for sustaining QNFO, a two-year-old, solo-run, AI-assisted research platform that has produced an open corpus of approximately 1,000 method papers across seven program areas. Every funder fact was verified by live HTTP retrieval on 2026-08-13 across twenty-six pages spanning Web3 and IPFS ecosystem grantors, open-science philanthropy, and decentralized-science programs; anything not verified live is explicitly flagged. The analysis scores eleven funders on eligibility for an unaffiliated individual, topical fit with decentralized and epistemics-oriented research, and application friction, yielding a weighted ranking led by NLnet NGI Zero (calls open September 3, 2026; deadline November 3, 2026, 12:00 CEST) and Emergent Ventures, followed by the Foresight Institute, Filecoin Foundation, the Ethereum Ecosystem Support Program, Gitcoin, and the Effective Altruism funds. A sequencing calendar spans August 2026 through 2027, including the Sovereign Tech Agency Fellowship cycle. The paper documents application-readiness gaps (legal entity, residency, tax position, public identity), per-funder pitch skeletons, and framing cautions, including the risk of presenting corpus volume as rigor. It closes with an agent-executable action plan.
Hypothesis. Among 20 confirmatory genealogical axis units (116 languages), pronunciation forms of three segments recur identically across at least three genealogically independent units less often than each unit's own phonotactics predicts: obs/E < 1.0 at form length 3. The direction is specified in advance; a ratio above 1.0 disconfirms the hypothesis rather than supporting it. Design. Confirmatory replication of a count. Forms are normalised to CLTS/BIPA, filtered by a grammatical-word exclusion, and grouped into clusters of identical segment sequences. A cluster counts when attested in at least 3 axis units and 3 languages. The observed number of length-3 clusters is compared with the expectation under a per-language positional bigram null refit on the same filtered corpus, reported with two uncertainty sources that are never pooled: Monte Carlo over 1000 null replicates, and a bootstrap over the 20 axis units. The confirmatory arm has not been analysed. The registered quantity has never been computed for any confirmatory unit. The blind is verified, not asserted: urortkontroll.py, included here, checks four independent traces and reports one stated limitation rather than claiming absolute untouchedness. The decision rule was fixed in advance and is cryptographically timestamped: if the 95% interval from either uncertainty source covers 1.0, the result does not stand. That record is anchored in Bitcoin block 960700. Identity relation, null model and adequacy bands were each fixed in a decision record committed before the measurement it governs. Resource type: Zenodo's vocabulary contains no 'preregistration' type. 'Preprint' is the nearest available and is used for that reason alone. Not included: the corpus, the population files, and the exploratory/confirmatory split assignment — publishing the assignment would reveal the confirmatory half.
When we describe a complicated system by a few coarse measurements, we face one recurring question: are the readings we have now enough to say what it will do next? Sometimes yes; sometimes they look complete but are not, and only pushing the system reveals it. This report turns that question into a checkable procedure. Five inexpensive probes first screen the data — description cost, identifiability, memory duration, change across scale, topological shape — no single probe deciding. We then ask, in order: does the present coarse state beat knowing nothing, and, once known, does history add more. Asking the first matters — history that “no longer helps” can mean the state suffices or that the future is unpredictable, and only the total separates these. Later stages ask whether look-alikes respond differently when pushed. The procedure reports a bottleneck and whether a layer has formed. We calibrate on known-answer cases: a classical system computed end to end (a closed layer, a history-limited case, a case separable only by intervention, and an unpredictable control a naive rule would misread as closed); a charge-to-particle stress test that stops short; and a genuine two-qubit process whose branches are passively identical yet separated by one intervention. We then run real series — carbon dioxide, sunspots, river flow, and equity-index and Bitcoin prices — where next-day returns read as no detected signal while volatility clusters, consistent with what is independently known. Every “no signal” is resource-relative: stamped with the resource R used. The procedure settles only the two ends — a closed layer, or no detected signal — and refuses the process path between; it classifies rather than inventing the next layer’s laws.
Although stablecoins occupy a segment of digital-asset markets in which price stability is central by design, their temporary departures from reference values may reveal important information about latent risk and market stress. In this paper, we examine whether bubble and crash signals extracted from traditional cryptocurrencies and stablecoins improve volatility, Value-at-Risk, and Expected Shortfall forecasting and, in connection with these forecasting gains, contribute to the assessment of cross-asset contagions. The analysis applies the Bubble Crash–GARCH models, in which extreme price phases are identified through the Phillips, Shi, and Yu real-time monitoring procedure and incorporated into the conditional mean of returns through event-based dummy variables. For stablecoins, extreme episodes are not inferred from price dynamics in isolation but from deviations between the observed price and the asset-specific reference value. The empirical investigation focuses on Bitcoin, Ethereum, Tether’s USD-pegged (USDT), and Tether Gold and evaluates asset-specific bubble–crash effects and bidirectional contagion channels between traditional cryptocurrencies and stablecoins, using Bitcoin and Tether as the leading representatives of the two market segments. The findings indicate that accounting for bubble and crash episodes leads to more accurate volatility forecasts than standard GARCH benchmarks. For Value-at-Risk and Expected Shortfall, the bubble–crash specifications can improve tail risk forecasting at several tail probability levels through more accurate coverage, lower quantile loss, and stronger ESR backtesting performance. The results also reveal different degrees of price exuberance across the two asset categories: while extreme price dynamics are more evident among traditional cryptocurrencies, deviations from fundamentals are rare for stablecoins. Among stablecoins, USDT exhibits limited but detectable exuberance, whereas Tether Gold does not display extreme price episodes. However, when such deviations occur, as in the case of USDT, they generate significant contagion effects on major cryptocurrencies. Notably, extreme episodes originating in USDT have a stronger impacts on Bitcoin and Ethereum than the reverse spillovers from traditional cryptocurrencies to USDT. Overall, the evidence suggests that stablecoins are not merely passive instruments within the digital-asset ecosystem. Even temporary deviations from their reference values contain valuable information for risk forecasting and contagion monitoring.
This paper selects the data of Bitcoin, Gold, and the S&P 500 index from 2018 to 2025, utilizing GARCH(1,1) and DCC-GARCH models to depict the dynamic conditional correlations among assets. By incorporating the Global Geopolitical Risk Index, the 10-year breakeven inflation rate, and the VIX panic index, it constructs daily and monthly cross-frequency regression models to examine their macro-driving mechanisms. The results show that whether at the high-frequency daily level or the smoothed monthly level, macroeconomic variables exhibit extremely significant driving effects on the co-movement of Bitcoin. Under the liquidity squeeze concerns triggered by intensified global panic or high inflation expectations, Bitcoin fails to act as a haven alongside gold. Instead, it exhibits a stronger synchronous crash with the US stock market. This empirical study rejects the hypothesis of Bitcoin as "digital gold," revealing its essence as a "risk amplifier" highly dependent on traditional liquidity, and provides quantitative support for international investors in asset allocation under extreme macroeconomic scenarios.
This chapter applies classical Islamic jurisprudential principles to analyse mainstream fatwas prohibiting Bitcoin, evaluating whether their core arguments sufficiently align with the established frameworks of Islamic law. Despite frequent claims that Bitcoin's intangible nature, volatility, and lack of official state issuance render it impermissible (Haram), the research finds these arguments often rest on incomplete analogies and misinterpretations of foundational Fiqh concepts. Drawing on texts regarding Gharar (excessive uncertainty), Qimar (gambling), property (māl), and state authority in monetary issuance, the study highlights that historically, Sharia recognized various intangible or privately issued assets, and not all forms of risk equate to impermissible speculation. Additionally, the principle of ‘blocking of means’ (sadd al-dharāʾiʿ) requires a more precise linkage to clearly Haram outcomes. By scrutinizing potential methodological oversights in prohibitory rulings, this chapter underscores that blanket bans may overlook Bitcoin's potential to fulfil key Sharia objectives – such as wealth preservation – when used responsibly. The analysis ultimately advocates more nuanced, evidence-based approaches to Bitcoin's permissibility, rooted in robust Fiqh and accurate technical understanding.
# Provider Description Microscopic changes in cells and connections can later contribute to a distributed memory, perception, or imagined scene. This paper asks how relations encoded at one physical scale can constrain patterns at another scale without requiring the brain to enlarge a microscopic trace into a literal copy. It separates dendritic morphology, network topology, temporal dynamics, and functional reinstatement, then asks whether finite-range scaling measurements add predictive or causal information beyond ordinary morphology, topology, activity history, oscillatory variables, single-scale models, and flexible nonlinear alternatives. The paper develops the historical Self-Aware Networks proposal called FRACTAL Conscious Perception as a testable cross-scale transformation rather than a claim that the brain is one ideal mathematical fractal. Four generations of synthetic applications test estimators, graph and temporal representations, capacity differences, route erasure, invertible transformations, exact matched restoration, nonspecific restoration, no-route controls, decoy shifts, and simpler single-scale alternatives. The record is deliberately mixed. Earlier systems contain favorable planted results, reversals, nulls, failed compensation, and a recovery statistic that could reward destructive collapse. A later frozen route-identification system passes all ten declared transformation, erasure, restoration, and refusal gates while still allowing raw ridge to perform slightly better and the correct single-scale model to win decisively when only one scale carries the target. The release includes the manuscript, six figures, frozen contracts, source and claim ledgers, raw and summary outputs, deterministic replays, tests, formal-verification receipts, and exact hashes. Seventeen Lean theorems establish bounded algebraic, rotation, and route-erasure invariants. They do not establish a biological neural mechanism or conscious experience. The applications use disclosed synthetic generators and do not constitute neural recordings, clinical evidence, or therapeutic guidance. The future biological evaluation remains sealed and unopened. ## Keywords fractal neuroscience; dendritic morphology; neural reinstatement; finite-range scaling; route identification; memory; connectome; multifractal dynamics; Self-Aware Networks; reproducibility
This paper asks what must be added to three-dimensional semantic segmentation before a distributed biological system can be said to organize differentiated, object-specific content. It begins with ordinary object perception and separates class labels, instance identity, border ownership, recurrent completion, multisensory registration, receiver state, Phase Wave Differentials, action, and returned sensory correction. The paper introduces a fifty-equation formal specification and an Object-Boundary Registration Benchmark. A deterministic reference application, fitted synthetic pilots, distribution-shift tests, latent and global alternatives, targeted ablations, calibration analysis, six evidence figures, and a machine-checked finite contract kernel make the proposal auditable. The synthetic results are mixed: typed receiver structure outperforms a global summary, while stronger latent alternatives match or exceed it under some noise and missingness conditions. Those adverse results remain central to the paper. The work therefore presents a testable research program, not completed biological or consciousness validation. A staged biological protocol is frozen, but it has not been run and the final test remains sealed. The public companion archive contains the complete cumulative manuscripts, source and claim ledgers, executable application, tests, structured results, negative-result record, figure provenance, formal proof receipts, and reproducibility instructions.
Open access
2 source records
Cell Image Analysis Techniques
Face Recognition and Perception
Generative Adversarial Networks and Image Synthesis
The Prop Trust Verified Standard (PTVS) v1.0 Reference Architecture establishes the definitive technical specification, capability matrix, and implementation guidelines for the physical verification of tokenized Real-World Assets (RWAs) within the European regulatory framework. This document resolves the "Physical Oracle Gap" — the structural inability of Distributed Ledger Technology (DLT) systems to attest to the physical existence, structural integrity, and legal encumbrances of off-chain assets backing tokenized securities — through a deterministic four-pillar architecture: Pillar I — eIDAS 2.0 Qualified Forensic Audits: On-site inspections conducted by sworn judicial experts under Qualified Electronic Signatures (QES) per Regulation (EU) 2024/1183. Pillar II — SHA-256 Cryptographic Lineage: Canonical JSON serialization with deterministic hashing anchored in permanent registries. Pillar III — Smart Contract Circuit Breakers: The open-source PTVSClaimInjector.sol contract (MIT License) enforces automated protective actions based on PTVS Score. Pillar IV — PTCE Network: Decentralized network of Prop Trust Certified Experts with 85/15 revenue split. Institutional validation: Formal submissions to ESMA (FOI/ESMA/2026-001), EBA (FOI/EBA/2026-002), EIOPA (FOI/EIOPA/2026-003, confirmed & registered), and ECB/SSM (FOI/ECB-SSM/2026-004, ADITO portal) Application to INATBA RWA Working Group (FOI/INATBA/2026-005) Permanent registration at CERN/Zenodo, HAL/CNRS (hal-05713062v1), OSF (DOI: 10.17605/OSF.IO/7D2SJ), and U.S. Copyright Office (Cases 1-15210573311 & 1-15234961091) Open governance via the PTVS Technical Board (17 seats, W3C/ISO-inspired) Document scope: 17 pages covering architecture overview, PTVS Score methodology (0-100), Verifiable Claims lifecycle, ERC-3643/T-REX integration, regulatory alignment matrix (MiCA, Solvency II, Eurosystem, eIDAS 2.0), governance model, 20-capability prior art inventory, and comparative analysis vs. Chainlink, Proof of Reserve, IoT sensors, Big Four audits, and registry oracles. Lead Researcher: Aurelio Tamarit Blay, Certified Judicial Expert (Exp. No. 0161, Spain), ORCID: 0009-0007-5824-3602, Wikidata: Q140774713. Institutional motto: Veritas in Re · Certitudo in Code Canonical source: https://forensics-oracle.org/reference-architecture/
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2 source records
Blockchain Technology Applications and Security
Digital and Cyber Forensics
Physical Unclonable Functions (PUFs) and Hardware Security
Paper 14 gives an analytical model of the Qoin economy as a dynamic network: node balances that rise and fall with local creation and consumption events, a physical de- livery graph those events populate, and closed-form results for adoption, topology, and resilience under stated assumptions. Those results are the model’s skeleton. This pa- per is discursive rather than mathematical: it asks what would actually need to be built to give that skeleton stochastic life, test its assumptions, and check its closed-form predictions against simulated behaviour — before any of it touches a real deployment. Five requirements follow directly from Paper 14’s own structure, not from any new modelling choice. The event log is not an implementation detail but the correct primary data structure, because Paper 14 already defines node balance as a derived quantity rather than stored state — the model specifies event sourcing whether or not the word is used. The simulation engine should be discrete-event rather than continuous, because every quantity in the model changes at a point in time, not continuously. Node arrival, edge formation, and lifecycle-window realisation are three distinct stochastic processes, each with its own calibration target, and should not be collapsed into one undifferentiated source of randomness. Calibrating the model against reality requires specific, nameable data that does not yet exist, and the paper says exactly what that data would need to be. And nothing built should be trusted beyond what Paper 14 already proves analytically until it reproduces those proofs first. This paper does not specify the real distributed ledger of Paper 1, does not perform any calibration (no pilot data exists), and does not address deployment, production, or user-facing engineering. It specifies a research instrument for studying the dynamics, nothing more.
Papers 12 and 13 establish, in prose, that the Qoin economy grows through voluntary adoption driven by a structural incentive (the double remuneration asymmetry) and a self-reinforcing network effect, and that its distributed ledger architecture protects it from institutional destruction. Both claims are narrative. Neither is modelled. This paper treats the Qoin economy as what it already is beneath the ledger’s bookkeep- ing: agents with a local Qoin balance that rises on wealth creation and falls on wealth consumption, connected by a dynamic graph recording the physical delivery of wealth between them — not a payment network in which Qoin itself moves along edges, but closer to a reaction network, in which local state changes are triggered by relationships the graph records. Node arrival is the boundary event of Paper 12; edge arrival is each completed delivery. Three results follow. First, the qualitative adoption story of Papers 12–13 is a Bass diffusion process: an ordinary differential equation with a derivable S-curve, an inflec- tion point, and two coefficients — one tied to the unconditional attribution advantage available to currently unmonetised creators, the other to the compounding profile ad- vantage of existing participants. Second, profile-based selection (Paper 3, Paper 4) is a preferential-attachment mechanism, and preferential attachment produces heavy-tailed, plausibly scale-free degree distributions — which carries a specific, testable consequence: such networks are robust to random node loss but fragile to targeted removal of high- degree hubs. This bears directly and unfavourably on the claim, made in Paper 13, that the ledger’s technical decentralisation protects the Qoin economy from institutional at- tack: the ledger and the delivery network built on top of it are different graphs, and only one of them has been shown to be attack-resistant. Third, Paper 6’s community-bounded federation is, in network terms, a modularity-preserving design choice, and modularity is precisely the structural property that bounds the damage a targeted attack on one community can do to the others. This paper is analytical throughout: closed-form and asymptotic results, not simulation or empirical calibration against real Marketplace data. That is deliberately left as the next piece of work.
The Natural Economic Wealth framework is theoretically complete. Its axioms are established, its instruments are derived, and its adoption mechanism is formalised. But a theory is not yet a practice. This paper addresses the institutional container within which the Qoin economy can be realised: the legal, social, and organisational structures that protect it from absorption, disruption, or destruction by the existing monetary order. The container is built from four interlocking elements: cooperative law, which provides legal personhood, democratic governance, and non-profit distribution; distributed ledger architecture, which provides immutability, resilience, and verifiability; historical prece- dent, which demonstrates that parallel economic systems can survive and thrive along- side FIAT; and community governance, which ensures that the Qoin economy remains accountable to its members. The paper draws on six historical precedents—the Swiss WIR system (1934–present), M-Pesa (2007–present), Bitcoin (2009–present), BerkShares (2006–present), the coopera- tive credit tradition (1844–present), and the Irish banking crisis (1970)—to demonstrate that the Qoin economy is not a theoretical construct seeking legislative permission, but a practical system that can be realised within existing legal frameworks. The paper con- cludes by outlining the path to adoption: from first adopters in communities with large informal sectors, through growing Marketplaces with deepening profile data, to the pro- gressive accumulation of Free Wealth and the eventual maturity of the thermodynamic commons.
Efficient material traceability and lifecycle management are essential for achieving circular utilization in indoor renovation projects. This study proposes a reversible decoration framework based on a Digital Material Cycle Map (DMCM) to support the tracking, recovery, and reuse of construction materials throughout their service lifecycle. The framework integrates Digital Product Passport concepts, RFID- and QR-based identification, distributed ledger technology, and lifecycle data management to establish a unified material information architecture. A modular and detachable construction strategy is further developed using standardized interfaces and non-destructive disassembly mechanisms, enabling efficient component recovery and reuse. In addition, a material traceability workflow is introduced to support condition assessment, lifecycle auditing, and recycling decision-making based on dynamically updated records. The framework promotes information sharing among manufacturers, designers, contractors, and recycling organizations through standardized data interfaces. By combining material identification, information transmission, and lifecycle monitoring, the proposed approach provides an engineering-oriented solution for digital material governance, intelligent sensing, and distributed infrastructure management.
El vertiginoso avance de las tecnologías de la información y la consolidación de la economía digital han conducido a la emergencia de los criptoactivos como instrumentos financieros de uso masivo, generando profundos desafíos para los sistemas tributarios actuales. El presente artículo científico estudia el contacto entre los criptoactivos y el principio de legalidad tributaria en Ecuador, adentrándose en las lagunas de la ley para la determinación, valoración y control de las rentas digitales. A través de un enfoque cualitativo de corte exploratorio y descriptivo se estudia la normativa constitucional y tributaria ecuatoriana realizando síntesis con los estándares que aparecen en la propuesta presentada por la Organización para la Cooperación y el Desarrollo Económicos (OCDE). Los hallazgos indican la ausencia de una reserva de ley que establezca de manera expresa la índole jurídica y la determinación de la cuantía de las operaciones con criptoactivos, lo que genera inseguridad jurídica, quebranta los principios de justicia tributaria y afecta la recaudación tributaria. Se delimitan cuatro áreas que se consideran decisivas en este campo: la indeterminación del hecho imponible, la dificultad en la valoración de los activos volátiles, la evasión del Impuesto a la Salida de Divisas (ISD) a través de operaciones cruzadas, y la falta de herramientas tecnológicas en la administración tributaria para realizar un seguimiento de las operaciones descentralizadas. La investigación ofrece una propuesta de armonización normativa que respete el marco constitucional ecuatoriano sin aniquilar la innovación tecnológica, concluyendo que existe la necesidad de la actualización de la ley tributaria para que incluya de manera expresa las rentas digitales en el hecho imponible, se constituyan mecanismos de valorización confiables y se apliquen tecnologías de auditoría en blockchain para el seguimiento fiscal de esta clase de operaciones.
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