Signals and Spoils: Speculative Oracle Extractable Value in the Era of Cross-Chain Interoperability
- URL: http://arxiv.org/abs/2606.03434v1
- Date: Tue, 02 Jun 2026 10:19:51 GMT
- Title: Signals and Spoils: Speculative Oracle Extractable Value in the Era of Cross-Chain Interoperability
- Abstract summary: We investigate speculative Oracle Extractable Value (OEV), a form of Maximal Extractable Value (MEV) associated with liquidating undercollateralized loans.<n>We propose a methodology for detecting speculative liquidations in the wild and apply it across Arbitrum, Base, and Optimism.<n>We show that independent DONs consume largely identical off-chain price data nearly simultaneously yet publish updates at different times, creating statistically predictable cross-chain exploitation windows.
- Score: 2.446465234288581
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A new form of Maximal Extractable Value (MEV), termed speculative MEV, has emerged across Layer-2 blockchains. Unlike Ethereum mainnet, many Layer-2 systems lack a public mempool, forcing extraction strategies to become probabilistic: searchers emit multiple identical transactions hoping to capture an opportunity first. This generates substantial transaction spam, increasing fees and wasting block space. We investigate speculative Oracle Extractable Value (OEV), a form of MEV associated with liquidating undercollateralized loans via speculative backrunning of oracle price updates. We propose a methodology for detecting speculative liquidations in the wild and apply it across Arbitrum, Base, and Optimism. On October 10, 2025, we identify 64 speculative liquidators on Aave (57% of all detected liquidators) and 831 successful speculative liquidations (39% of all successful liquidations across the three chains). We further examine whether latency differences in oracle price feed updates across blockchains can be exploited for cross-chain OEV. Specifically, we ask whether a searcher can observe oracle updates on one chain and frontrun liquidation opportunities on another. We systematically analyze Chainlink Decentralized Oracle Network (DON) configurations (deviation thresholds, heartbeat intervals, and submitted price observations) across Arbitrum, Base, Ethereum, and Optimism. Our dataset comprises 63 Chainlink feeds, 12,009 price updates, and over 100,000 oracle observations linked to 2,986 Aave liquidations. We show that independent DONs consume largely identical off-chain price data nearly simultaneously yet publish updates at different times, creating statistically predictable cross-chain exploitation windows. We demonstrate that Chainlink updates on Optimism can predict subsequent updates on Arbitrum and Base, enabling speculative cross-chain OEV extraction.
Related papers
- Where Does MEV Really Come From? Revisiting CEXDEX Arbitrage on Ethereum [2.9847673458229393]
A central question in the ecosystem is where Maximal Extractable Value (MEV)revenue originates and to what extent it stems from harming unsuspecting users.<n>We present an extended discrete-time AMM model in which the price process is the sum of a diffusive component and jumps that can have arbitrary noise distributions.
arXiv Detail & Related papers (2026-04-17T11:37:39Z) - TxRay: Agentic Postmortem of Live Blockchain Attacks [52.658018348998105]
Within five years, the DeFi ecosystem has lost over 15.75B USD to reported exploits.<n>We present TxRay, a postmortem system that reconstructs live ACT attacks from limited evidence.<n>On 114 incidents from DeFiHackLabs, TxRay produces an expert-aligned root cause and an executable PoC for 105 incidents, achieving 92.11% end-to-end reproduction.
arXiv Detail & Related papers (2026-02-01T16:17:33Z) - MemeChain: A Multimodal Cross-Chain Dataset for Meme Coin Forensics and Risk Analysis [52.468043639056596]
The meme coin ecosystem has grown into one of the most active yet least observable segments of the cryptocurrency market.<n>MemeChain integrates on-chain data with off-chain artifacts, including website HTML source code, token logos, and linked social media accounts.<n>We quantify the ecosystem's extreme volatility, identifying 1,801 tokens (5.15%) that cease all trading activity within just 24 hours of launch.
arXiv Detail & Related papers (2026-01-28T14:42:02Z) - Obfuscation as an Effective Signal for Prioritizing Cross-Chain Smart Contract Audits: Large-Scale Measurement and Risk Profiling [42.77773046319942]
HOBFNET is a fast surrogate of OBFPROBE, enabling million-scale cross-chain scoring.<n>We observe systematic score drift, motivating within-chain percentile queues.<n>Cross-chain reuse is tail-enriched and directionally biased from smaller to larger ecosystems.
arXiv Detail & Related papers (2026-01-24T08:05:39Z) - Clustering Deposit and Withdrawal Activity in Tornado Cash: A Cross-Chain Analysis [0.9503773054285557]
Tornado Cash is a decentralised mixer that uses cryptographic techniques to sever the on-chain trail between depositors and withdrawers.<n>This paper introduces three clusterings-(i) address-reuse, (ii) transactional-linkage, and (iii) a novel first-in-first-out (FIFO) temporal-matching rule.<n>Our analysis shows that 5.1 - 12.6% of withdrawals can already be traced to their originating deposits through address reuse and transactional linkages.
arXiv Detail & Related papers (2025-10-10T14:42:24Z) - V-ZOR: Enabling Verifiable Cross-Blockchain Communication via Quantum-Driven ZKP Oracle Relays [0.42164623134161255]
Cross-chain bridges and oracles represent some of the most vulnerable components of decentralized systems.<n>We propose V-ZOR, a verifiable oracle relay that integrates zero-knowledge, quantum-grade proofs, and cross-chain restaking.
arXiv Detail & Related papers (2025-09-13T22:34:59Z) - Cross-Chain Arbitrage: The Next Frontier of MEV in Decentralized Finance [6.330335162249011]
Cross-chain arbitrage between decentralized exchanges (DEXes) will become the canonical mechanism for price alignment.<n>We study cross-chain arbitrage with a profit-cost model and a year-long measurement.<n>We conclude that cross-chain arbitrage fosters vertical integration, centralizing sequencing infrastructure and economic power.
arXiv Detail & Related papers (2025-01-28T23:04:50Z) - Transaction Capacity, Security and Latency in Blockchains [45.776687601070705]
We analyze how secure a block is after the block becomes $k$-deep, i.e., security-latency, for Nakamoto consensus.<n>We connect the security-latency analysis to sustainable transaction rate of the queue system.
arXiv Detail & Related papers (2024-02-15T17:43:13Z) - Diffusion Variational Autoencoder for Tackling Stochasticity in
Multi-Step Regression Stock Price Prediction [54.21695754082441]
Multi-step stock price prediction over a long-term horizon is crucial for forecasting its volatility.
Current solutions to multi-step stock price prediction are mostly designed for single-step, classification-based predictions.
We combine a deep hierarchical variational-autoencoder (VAE) and diffusion probabilistic techniques to do seq2seq stock prediction.
Our model is shown to outperform state-of-the-art solutions in terms of its prediction accuracy and variance.
arXiv Detail & Related papers (2023-08-18T16:21:15Z) - Blockchain Large Language Models [65.7726590159576]
This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions.
The proposed tool, BlockGPT, generates tracing representations of blockchain activity and trains from scratch a large language model to act as a real-time Intrusion Detection System.
arXiv Detail & Related papers (2023-04-25T11:56:18Z) - Uniswap Liquidity Provision: An Online Learning Approach [49.145538162253594]
Decentralized Exchanges (DEXs) are new types of marketplaces leveraging technology.
One such DEX, Uniswap v3, allows liquidity providers to allocate funds more efficiently by specifying an active price interval for their funds.
This introduces the problem of finding an optimal strategy for choosing price intervals.
We formalize this problem as an online learning problem with non-stochastic rewards.
arXiv Detail & Related papers (2023-02-01T17:21:40Z) - A Game of NFTs: Characterizing NFT Wash Trading in the Ethereum Blockchain [53.8917088220974]
The Non-Fungible Token (NFT) market experienced explosive growth in 2021, with a monthly trade volume reaching $6 billion in January 2022.
Concerns have emerged about possible wash trading, a form of market manipulation in which one party repeatedly trades an NFT to inflate its volume artificially.
We find that wash trading affects 5.66% of all NFT collections, with a total artificial volume of $3,406,110,774.
arXiv Detail & Related papers (2022-12-02T15:03:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.