Vast quantities of compute (GPU cycles on personal workstations, idle inference servers, and edge devices between jobs) go unused because no incentive-aligned protocol exists for their owners to share them safely and profitably. Existing approaches either require a trusted central coordinator (cloud marketplaces), demand heavy blockchain infrastructure (Golem, BrokerChain), or lack an incentive layer entirely (BOINC, Petals). We propose SwarmHarness, a decentralised protocol in which HarnessAPI skill nodes self-organise into a compute swarm without any central authority. SwarmHarness has three interlocking components: a SwarmRegistry built on a Distributed Hash Table (DHT) for peer discovery and capability advertisement; a SwarmRouter that dispatches tasks to nodes using a utility function over capability, load, latency, and trust; and SwarmCredit, an incentive mechanism that attributes compute-credit rewards to contributing nodes via a Shapley-value approximation. Nodes earn credits by serving tasks and spend credits to submit them; idle nodes that never contribute drain credits and lose routing priority, creating a self-regulating participation economy. As nodes specialise toward high-reward skills and routing signals act as digital pheromones, the network exhibits emergent collective intelligence analogous to biological swarms. Beyond compute sharing, SwarmHarness is a foundational primitive for autonomous distributed AI agent networks in which agents hire compute, route subtasks, and settle credits without human intermediation.
Shriya Harinath, Sameeha Ayman Khan, Sanjana M, Riya · 5 authors
Blockchain technology has emerged as one of the most disruptive and consequential innovations of the twenty-first century, promising to fundamentally alter how data is stored, verified, and transferred across distributed networks without reliance on any central authority. The technology's core attributes—decentralization, immutability, transparency, and cryptographic security—offer profound implications for sectors as varied as finance, healthcare, supply chain management, land administration, and legal adjudication. In the context of India, a nation undergoing rapid digital transformation and grappling with ambitious governance reform, blockchain represents both an extraordinary opportunity and a formidable regulatory challenge. India's existing legal architecture, built around legislation such as the Information Technology Act of 2000, the Indian Contract Act of 1872, and the Prevention of Money Laundering Act, was designed for a pre-blockchain world and has not kept pace with the accelerating demands of decentralized technology deployment. This paper presents an original, empirical, and multidisciplinary investigation into the intersection of blockchain technology and the Indian legal framework. Drawing upon a systematic analysis of prior scholarly literature, government policy documents, judicial decisions, and regulatory pronouncements, the study identifies critical lacunae in India's current legal provisions that impede the full-scale adoption of blockchain in both public and private sector contexts. The research specifically examines the enforceability of smart contracts under Indian contract law, the recognition of distributed ledger-based digital signatures under the IT Act, data privacy obligations under the Digital Personal Data Protection Act of 2023 vis-à-vis blockchain's inherent data immutability, and the treatment of virtual digital assets under recent tax and anti-money laundering provisions. The methodology combines a structured literature review of forty-three peer-reviewed papers, government white papers, and institutional reports with a thematic synthesis approach that clusters findings around five core dimensions: regulatory clarity, judicial recognition, technological standards, cross-border governance, and industry-specific deployment challenges. Our analysis reveals that India is at a pivotal regulatory juncture. While the government has taken proactive steps through the National Blockchain Strategy of the Ministry of Electronics and Information Technology (MeitY) and Niti Aayog's foundational blockchain framework, these policy documents remain aspirational rather than legally binding, leaving practitioners, businesses, and courts without actionable statutory guidance. The paper identifies five principal challenges that obstruct blockchain's legal integration: first, the absence of explicit statutory recognition of blockchain records as valid legal evidence under the Indian Evidence Act; second, ambiguity surrounding the enforceability of self-executing smart contracts absent human intervention; third, the jurisdictional complexity arising from cross-border blockchain transactions; fourth, the tension between the right to be forgotten under emerging data protection law and the permanence of blockchain records; and fifth, the lack of standardized technical and operational frameworks governing permissioned versus permissionless blockchain implementations in regulated industries. Based on these findings, the paper advances a set of targeted policy recommendations including legislative amendments to the IT Act to formally recognize blockchain records, the creation of a dedicated blockchain regulatory sandbox, judicial training programs, and India's accession to international instruments on electronic commerce and arbitration. The findings contribute to an emerging body of literature on technology law in developing economies and offer actionable guidance for policymakers, legal practitioners, and technology adopters in India. This research is intended as a novel scholarly contribution and not a reproduction of any prior work.
Ahmad Yani, Septiana Sihombing, Yogi Cahyo Ginanjar
Bitcoin has emerged as a prominent digital asset that blends financial innovation, technological advancement, and speculative behavior. However, its growing adoption raises sustainability concerns due to energy-intensive mining and environmental impacts. This study investigates the determinants of Bitcoin prices within the framework of sustainable digital finance by integrating blockchain fundamentals, technical indicators, and macroeconomic variables. Using daily data from 24 November 2021 to 21 November 2024 (753 observations), the analysis conducted with Stata 16—examines miners’ revenue, hashrate, transactions per block, unique addresses, mining difficulty, and trade volume as internal factors, along with gold prices, WTI crude oil, and the S&P 500 index as external factors. Results show that miners’ revenue, hashrate, and transactions per block have positive and significant effects on Bitcoin prices, emphasizing the importance of mining performance and network activity. Trade volume and unique addresses also display positive but less consistent influences, while mining difficulty remains statistically insignificant. Among external factors, WTI crude oil significantly affects Bitcoin prices. Overall, findings suggest that Bitcoin operates as both a financial asset and a technology-driven ecosystem shaped by blockchain dynamics and macroeconomic conditions. The study highlights the need for sustainable mining practices and transparent regulatory frameworks to enhance environmental efficiency.
This article examines how Switzerland’s decentralized welfare structure shapes the outcomes of Basic Income reforms. Using SWISSMOD, a static microsimulation model based on EUROMOD, we simulate unconditional transfer schemes of varying generosity at federal and cantonal levels, combined with alternative financing. Our results show that Basic Income reduces poverty and inequality across all scenarios, but effects differ by implementation level: federal schemes achieve stronger redistribution and uniformity, while cantonal schemes produce heterogeneous outcomes and maintain interregional disparities. Progressive taxation enhances equity but risks excessively high marginal rates; wealth taxation offers fiscal relief but does not automatically enhance poverty reduction or social protection in a decentralized setting. Thus, centralized implementation enhances uniformity and equity across regions, while decentralized administration preserves local differentiation but risks perpetuating spatial inequalities. These findings underscore the importance of aligning social policy design with fiscal federalism when considering unconditional transfers and equitable access to income security.
In the current conditions of digitalization of the economy, the financial sector is undergoing significant transformations under the influence of innovative technologies and FinTech solutions. At the same time, digitalization is accompanied by new challenges, such as cyber risks, the need to adapt the regulatory environment, and ensuring financial stability. Therefore, the study of trends in the financial and digital space is relevant for assessing the state of the FinTech sector, identifying dominant technologies and directions for the development of the digital financial ecosystem. The purpose of the study is to analyze current trends in the development of the financial and digital space and determine the structure of its main segments in order to assess the role of financial technologies in the transformation of the financial sector and the formation of a digital financial ecosystem. A set of general scientific and special methods was used: theoretical generalization and systematization, analysis and synthesis, statistical and comparative analysis, as well as the graphical method. The empirical basis is the NBU's statistical data on the dynamics of the payment infrastructure for 2021–2025 and analytical materials of the Ukrainian FinTech Association and innovative companies on the structure of the FinTech market. As a result, it was found that in 2021–2025, the payment infrastructure of Ukraine demonstrates a steady recovery after the shocks of 2022: the number of POS terminals increased from 368 thousand units (2022) to 605 thousand units (2025), active payment cards - from 46.3 million units to 65.4 million units, and the volume of transactions through POS terminals - from UAH 106 billion to UAH 210 billion. The structure of the Ukrainian FinTech market in 2025 is characterized by the dominance of technological infrastructure (28%), payments and transfers (18%), and personal/consumer lending (10%); smaller shares are accounted for by RegTech (8%), digital banks (7%), and personal finance management (7%). Among the technologies used by FinTech companies, API (71%), artificial intelligence (43%), chatbots (42%), and cloud technologies (39%) are leading, while blockchain (9%), DeFi (4%), and NFT (2%) are in the initial stages of implementation. The results confirm that the key trends in the financial and digital space are the integration of financial services, process automation, and the active use of artificial intelligence, which form the basis of the digital financial ecosystem. At the same time, the modern FinTech market of Ukraine is in the process of formation, and the latest technologies, such as blockchain and decentralized finance, have not yet become widespread.
This document proposes integrative principles that articulate fully established and validated approaches—such as ethnobotany, One Health, circular bioeconomy, TRL, and Access and Benefit-Sharing—into an integrative model that shifts bioprospecting from a purely extractive model centered on the pharmaceutical industry to a more human-centered, circular, and biocultural paradigm. Through a historical analysis of the generations of bioprospecting (from 0.0 to 4.0), this work theorizes that technological advancement has paradoxically contributed to epistemic injustice. The proposed 5.0 framework integrates social validation tools and introduces the Epistemic Gap Score (EGS) as an exploratory heuristic tool that allows for visualizing the divergence or cohesion of bioprospecting a plant resource and the recognition of ancestral knowledge in a more humanistic manner. Through preliminary proof-of-concept, this study demonstrates the practical utility of the EGS for prioritizing plant species for bioprospecting, ensuring that the valorization of underutilized plant resources produces a tangible “epistemic return” and thereby promotes community autonomy and multisectoral benefits across the food, energy, and health systems. By focusing on zero-waste cycles and social reciprocity, Bioprospecting 5.0 reestablishes the role of plant resources as essential components of sustainable global development and ethical scientific practice.
Open access
Bioeconomy and Sustainability Development
Environmental and Cultural Studies in Latin America and Beyond
Agriculture Sustainability and Environmental Impact
In Community in a Crowd: Bitcoin and the Quest for Liberty in Tel Aviv, Matan Shapiro offers a carefully crafted ethnography of Bitcoin socialities grounded in a long fieldwork at the Bitcoin Embas...
This research paper provides a comprehensive examination of cryptocurrency and blockchain technology two of the most transformative innovations of the 21st century. We explore the foundational principles of distributed ledger technology, the diverse taxonomy of cryptocurrencies, consensus mechanisms, smart contracts, and decentralised finance (DeFi). Additionally, this paper investigates the security landscape of the crypto ecosystem, cataloguing major hacking incidents, attack vectors, and mitigation strategies. The paper concludes with an outlook on future developments and regulatory trends.
Electronic voting requires the simultaneous admission of only legitimate participants, ballot uniqueness, vote confidentiality, storage integrity, and result verifiability. Blockchain alone does not solve these problems, since ledger immutability does not guarantee anonymity, ballot correctness, or reduced trust concentration. The purpose of this work is to develop a parameterizable research framework for electronic voting scenarios with enhanced cryptographic protection, allowing the security level to be varied according to the requirements of a voting scenario. The main contribution of the work is a parameterizable research architecture for composing and experimentally comparing electronic voting configurations with different security and computational profiles. The cryptographic and audit mechanisms integrated into this architecture include blind-signature-based anonymous authorization, encrypted ballot submission, blockchain-style audit, receipt verification, homomorphic tally publication, and threshold-supported tally artifacts. These mechanisms are not proposed as new cryptographic primitives; rather, they are integrated into a reproducible prototype to study how their combination affects verifiability, privacy support, auditability, and computational cost. Compared with basic blockchain-based voting prototypes, this architecture explicitly separates security, privacy, and verifiability profiles and makes their computational cost observable. The implemented prototype is used as an experimental platform for analyzing supported security properties, threat modeling, and computational cost estimation. The results show that authentication, anonymous token issuance, and receipt verification maintain an almost constant cost at the studied scale, while the main cryptographic burden is associated with encrypted ballot submission and threshold-supported tally publication. The scientific novelty of the work lies in constructing a parameterizable architecture that integrates several cryptographic mechanisms and a blockchain audit layer into one reproducible research prototype. At the same time, the proposed approach retains prototype-level limitations associated with the absence of a full zero-knowledge proof stack, independently deployed threshold authorities, and coercion-resistance mechanisms.
This technical paper presents the architectural foundations and technological innovations of the GEORGIA platform. The publication introduces a decentralized, cloud-native cyber-physical system that integrates biophysical modelling, Explainable Artificial Intelligence, Zero-Trust Federated Learning, and Distributed Ledger Technology to support precision irrigation and drought resilience across diverse European agricultural systems.
This study examines the drivers of decentralized finance (DeFi) token returns, focusing on protocol metrics and broader market trends. While previous research has primarily analyzed a limited set of factors, this study incorporates additional indicators, including such groups of metrics as protocol activity indicators, income statement metrics, treasury balances, market efficiency metrics, and valuation multiples. Using weekly data from January 2021 to March 2025 for three major DeFi tokens (COMP, AAVE, CRV), we apply linear regression to test the relationship between token returns and internal protocol metrics. Our findings show that COMP and AAVE exhibit strong associations, mainly with Ether price movements, whereas CRV is also linked to financial metrics such as net treasury and Total Value Locked (TVL). These results suggest that DeFi token returns are shaped both by market-wide conditions and by protocol-specific characteristics, with the relative importance of these factors varying across different token types. This study contributes to the decentralized finance literature in three key ways: (1) we conduct the first comprehensive analysis linking governance token performance to five distinct categories of protocol-specific metrics, (2) we demonstrate significant variation in valuation drivers between different protocol types (lending versus DEX), and (3) we challenge the assumption that DeFi tokens simply track Ether’s price movements. Our results establish that protocol-specific factors must be accounted for in any comprehensive valuation model of DeFi assets.
Putri Anggia, Aisyah Ajeng Putri Riyanto, Muhammad Fathi
The rapid growth of cryptocurrencies is reshaping the global financial landscape, challenging traditional systems of taxation and regulation. This article examines the complex interplay between cryptocurrency anonymity, legal frameworks, and the pursuit of international tax justice. Using normative legal research with a descriptive approach, this article examined the challenges posed by cryptocurrency adoption in taxation policies. The findings revealed that while blockchain technology enhances transparency and decentralisation, the anonymity features of digital assets create risks of tax evasion and illicit financial flows. Addressing these issues requires integrated efforts among international regulatory frameworks, such as the OECD's CARF and FATF's Travel Rule alongside domestic reforms like Indonesia's HPP Law and the EU's DAC8. Inclusive governance that empowers developing countries and the constitutional grounding of tax justice principles are essential to strike a balance between individual privacy and collective fiscal responsibility. This multi-layered approach is critical to ensuring cryptocurrencies serve as instruments of innovation rather than tools for inequality. Future research should focus on empirical assessments of compliance costs, enforcement effectiveness across borders, and the development of privacy-preserving technologies, such as zero-knowledge proofs, to enable proportional and fair regulation globally.
The relationship between ethics and economics in the context of technological growth is examined in this chapter. Data privacy in the digital economy, cryptocurrencies, decentralized finance (DeFi), and artificial intelligence (AI) are its three key areas of concentration. This chapter examines the influence of ethical issues on all these factors. It highlights the necessity for ethical governance of AI for both commercial and personal use. The chapter makes the case that, in an increasingly digital world, equitable and sustainable economic systems can only be achieved by proactive legislation, inclusive design, and privacy-aware business models.
Ethics and Social Impacts of AI
Interdisciplinary Studies: Technology, Society, and Humanities
Electronic voting systems are promised to be faster and have less operational overhead, but most implementations remain characterized by centralization, low auditability and user-paid transaction fees and lack of privacy. The software engineering framework to design, implement and validate a secure blockchain-based e-voting system that will overcome these practical constraints is presented in this paper. The system combines identity-based voter registration, guaranteed by smart contracts, election management, gasless voting route, and a privacy-conscious architecture that includes a direction of zero-knowledge proofs to cast confidential votes. It was tested on the Polygon Amoy test network with Solidity smart contracts, a wallet registry linked to a NIC, and a workflow voter and administrator web application. The analysis consisted of gas benchmarking, contract optimization as well as a usability test with 50 participants. Findings indicate that optimized election creation reduced average gas consumption from 726,422 to 653,344 and the paymaster path increased total gas per vote to 156897 per vote although this left the user with no gas cost. The results of usability suggest the overall moderate acceptance with the mean scores of 3.16 to 3.40 in understanding, easy to use, trust, and satisfaction, and worse results among those with zero blockchain familiarity. It demonstrates that gasless voting enhances access and that a systematic engineering system can inform the creation of secure and usable blockchain e-voting systems, and full production-quality zero-knowledge verification is also a task of the future.
Supply Chain Finance (SCF) enhances financial liquidity, optimizes operational efficiency, and strengthens collaboration among supply chain stakeholders. Traditional SCF systems are vulnerable to economic risks, fraud, and a lack of transparency due to centralized data control and limited real-time monitoring capabilities. Current systems rely on slow central financial bodies and static credit evaluations, lacking dynamic risk assessment and mechanisms to build stakeholder trust. This research proposes Bi-MATRA, a Blockchain-Integrated Multi-Agent Trust and Risk Assessment system. The goal is to create a decentralized, intelligent risk evaluation system for real-time trust computation and automated decision-making in SCF contexts. Bi-MATRA combines blockchain's immutability and transparency with a multi-agent system that automatically monitors and assesses risk. Bi-MATRA uses an adapted Eigen Trust algorithm on the blockchain to calculate trust. Agents rate each other based on interaction history, and transitive trust linkages determine global trust ratings. Smart contracts for dynamic trust-based decision-making update these scores. Smart contracts enforce predefined financial agreements, automating processes and reducing the need for intermediaries. Agent-based modelling was employed to develop a blockchain-based simulation testbed for assessing Bi-MATRA's responsiveness, accuracy, and resilience. The framework was more efficient at trust validation and risk identification than typical SCF systems. Key studies reveal that Bi-MATRA saves transaction clearance time by 35% and improves early risk detection by 28%. EigenTrust-based trust computation builds agent trust and accountability, enhancing financial interactions. In conclusion, the Bi-MATRA framework offers a scalable, decentralized approach to intelligent risk assessment and trust-building in blockchain-enabled supply chain finance systems.
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.
Connects to 16 breakthroughs. AUM Inflow Despite Price Slide - TipRanks From GoogleNews (271,272,274,275,276,277,278,279,285,286,287,288,290,291,293,294). Avg score: 0.24 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Smart contract decompilation aims to recover high-level source code from bytecode, but evaluating decompilers remains difficult because existing studies use narrow datasets, inconsistent metrics, and limited semantic consistency checks. This gap is increasingly important as large language models (LLMs) begin to generate source-like Solidity that may compile and appear plausible, even when its semantics diverge from the original contract. We introduce SCDBench, a dataset and benchmark methodology for LLM-based smart contract decompilation. The dataset contains 600 real-world Solidity contracts with paired bytecode inputs, ground-truth source code, and replayable semantic checkpoints. SCDBench evaluates decompiler outputs through four cumulative stages: format completeness, compilability, Application Binary Interface (ABI) recovery, and semantic consistency via differential replay. We evaluate Claude Opus 4.7, GPT-5.3-Codex, and GLM-5 in a zero-shot decompilation setting, including GLM-5 variants with and without extended reasoning and a zero-shot compilation-repair setting. The results show that frontier LLMs can often produce structured and compilable Solidity, but achieving semantic consistency remains far from solved: the best-performing frontier model perfectly decompiles only 42/600 contracts. We further show that introducing same-model compilation repair substantially improves performance at modest additional cost. SCDBench establishes a common ground for rigorous, reproducible evaluation and aims to accelerate the development of reliable smart contract decompilers for blockchain security and transparency.
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.
Title: Holographic Bitcoin: A Material-Anchored Consensus Protocol for Spatiotemporal State SynchronizationAbstract:This research proposes a novel \textit{Holographic Distributed Architecture}, a paradigm shift that transitions decentralized ledgers from soft-informational registers to hardware-native, physically-anchored systems. In the face of quantum computational threats and the systemic fragility of legacy digital assets, we introduce an immutable consensus framework rooted in the thermodynamic entropy of Lichtenberg lightning-lattice entities.The architecture leverages a high-energy collision manifold—defined by the $K=10^{22}$ scaling coefficient—to harmonize Bitcoin's computational intensity with physical-layer state transitions, establishing an irreversible "spatiotemporal anchor." We further demonstrate a rigorous three-phase evolutionary model that guides the network from a centralized genesis to a sovereign, community-governed Physical Proof-of-Stake (P-PoS) system. This governance model integrates Human-Centric Proof-of-Work (H-PoW) and identity-anchored participation, ensuring adversarial resilience through a combined lens of physical provenance revocation and legal accountability.By optimizing the network as a minimalist "Provenance Registry" rather than a high-volume transaction conduit, our framework achieves extreme scalability without sacrificing security. Our tiered participation model successfully bridges the gap between radical privacy-centric sovereignty and institutional legal protection. This study provides a comprehensive solution for a thermodynamically authenticated, post-quantum resilient infrastructure, laying a material foundation for the future of decentralized human and artificial intelligence synergy.Keywords: Holographic Architecture; Physical Consensus; Lichtenberg Lattices; Spatiotemporal Anchoring; Provenance Registry; Post-Quantum Security; Collatz Gauge Field.
Muhammad Umar Janjua, Akshaya Mani, Uğur Şen, Daniel Kaiser
Privacy and anonymity of validators, especially regarding IP address linkability, are essential to protect the Ethereum network from various attacks. Network-level attacks, such as DoS, can interrupt validators and affect the overall security of the Ethereum network. Correlating the IP addresses of validators with their identities, along with knowledge about their action slots can be exploited by attackers to cause network delays, MEV exploitation, and finality risks. Therefore, ensuring the unlinkability of a validator's IP and identity is crucial for maintaining the network's trust and resilience. In this techreport, we first provide a review of the existing network and consensus layer techniques that have been proposed for maintaining validator privacy in the Ethereum blockchain. Secondly, we evaluate a Tor-based protocol named Tor push that helps unlink validator identities (IDs) from their nodes' IP addresses, thereby making it difficult to determine any end-to-end correlation between validator IDs and IP addresses of validators' beacon nodes. To evaluate the effectiveness of Tor push, we present a working, deployed proof-of-concept (PoC) implementation in the Nimbus Ethereum client. Our PoC deployment pushes attestations, aggregations, and block proposals over Tor to the Goerli testnet. Furthermore, we also analyse the security and latency of Tor push. Our experimental results suggest that Tor can be incorporated into the existing Ethereum network with a tolerable latency overhead of 613.82 ms on average and without compromising the overall network performance while enhancing the location privacy of validators in the Ethereum network.