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arxiv: 2606.03434 · v1 · pith:OFCHSYAInew · submitted 2026-06-02 · 💻 cs.CR

Signals and Spoils: Speculative Oracle Extractable Value in the Era of Cross-Chain Interoperability

Hasret Ozan Sevim , Christof Ferreira Torres This is my paper

Pith reviewed 2026-06-28 09:45 UTC · model grok-4.3

classification 💻 cs.CR
keywords speculative MEVoracle extractable valuecross-chain interoperabilityChainlink DONAave liquidationsLayer-2 blockchainsprice feed updatesliquidation opportunities
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The pith

Chainlink updates on Optimism can predict subsequent updates on Arbitrum and Base, enabling speculative cross-chain OEV extraction.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines how the lack of public mempools on Layer-2 blockchains turns MEV extraction into a probabilistic process that generates transaction spam. It focuses on speculative Oracle Extractable Value, where searchers backrun oracle price updates to liquidate undercollateralized loans on Aave. Data collection across Arbitrum, Base, and Optimism reveals that 39 percent of successful liquidations are speculative. The central analysis covers 63 Chainlink feeds and shows that independent DONs receive the same off-chain prices nearly simultaneously yet publish updates at staggered times. This timing difference creates statistically predictable windows that allow observation on one chain to anticipate and act on liquidation opportunities on another.

Core claim

Independent Chainlink DONs consume largely identical off-chain price data nearly simultaneously yet publish updates at different times across blockchains because each follows its own deviation thresholds and heartbeat intervals. This produces statistically predictable cross-chain exploitation windows. Chainlink updates observed on Optimism can forecast subsequent updates on Arbitrum and Base, allowing searchers to monitor one chain and execute speculative liquidations on another.

What carries the argument

Staggered publication timing of Chainlink DON price updates across independent L2 configurations

If this is right

  • Searchers can monitor one chain to anticipate and capture liquidation opportunities on others.
  • Speculative strategies already account for 39 percent of successful Aave liquidations across the three chains.
  • Cross-chain timing differences turn what would be reactive backrunning into proactive speculation.
  • The resulting transaction spam increases fees and consumes block space on affected L2s.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • DeFi protocols may need to incorporate cross-chain oracle timing into their liquidation parameters to reduce extractable windows.
  • Unified or synchronized oracle mechanisms across chains could shrink the predictability that enables this form of OEV.
  • Searchers are likely to develop multi-chain monitoring tools specifically tuned to the observed update orderings.
  • The same latency pattern may appear with other oracle providers that run independent per-chain DONs.

Load-bearing premise

The observed statistical predictability in oracle update timestamps can be turned into profitable real-time exploitation by searchers despite network latency, gas costs, and competition.

What would settle it

A controlled test showing that searchers monitoring Optimism Chainlink updates fail to achieve net-positive returns when attempting corresponding liquidations on Arbitrum or Base after all costs and delays.

read the original 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.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 1 minor

Summary. The manuscript examines speculative Oracle Extractable Value (OEV) arising from probabilistic MEV extraction on L2 blockchains without public mempools. It introduces a detection methodology for speculative liquidations on Aave across Arbitrum, Base, and Optimism, reporting 64 speculative liquidators and 831 successful liquidations on October 10, 2025. The paper further analyzes Chainlink DON configurations and oracle update timings, claiming that updates on Optimism statistically precede and predict those on Arbitrum and Base, thereby enabling cross-chain speculative OEV extraction based on a dataset of 63 feeds and 12,009 updates.

Significance. If the empirical findings and predictability claims hold under rigorous validation, this work would be significant for highlighting a novel form of cross-chain MEV and its implications for oracle networks and L2 design. The provision of concrete counts from 12,009 updates linked to 2,986 liquidations and over 100,000 observations represents a strength in empirical grounding for MEV research.

major comments (3)
  1. [Abstract] Abstract: The reported figures of 64 speculative liquidators (57% of all detected) and 831 successful speculative liquidations (39% of all) are presented without visible error bars, exclusion criteria, or details of the statistical tests used to classify liquidations as speculative, making it impossible to assess the reliability of the detection methodology or the central cross-chain exploitation claim.
  2. [Abstract] Abstract: The claim that Chainlink updates on Optimism can predict subsequent updates on Arbitrum and Base, creating exploitable windows, lacks any reported lead-time distributions, conditional probabilities, or explicit comparison against typical L2 propagation latencies (~200-2000 ms), which is load-bearing for establishing that the observed statistical timing differences are practically exploitable in real time.
  3. [Abstract] Abstract and dataset description: The analysis of DON configurations (deviation thresholds, heartbeat intervals, and price observations) across 63 feeds does not quantify whether the timing deltas remain actionable after accounting for cross-chain observation latency, transaction construction time, and competition from other searchers, leaving the exploitability conclusion unsupported by the presented evidence.
minor comments (1)
  1. [Abstract] The date October 10, 2025 is in the future relative to typical arXiv timelines; a clarification on the actual data collection window would improve reproducibility.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their constructive comments on the abstract and empirical claims. We address each major comment below, indicating revisions where the presentation can be strengthened without altering the underlying data or methodology.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The reported figures of 64 speculative liquidators (57% of all detected) and 831 successful speculative liquidations (39% of all) are presented without visible error bars, exclusion criteria, or details of the statistical tests used to classify liquidations as speculative, making it impossible to assess the reliability of the detection methodology or the central cross-chain exploitation claim.

    Authors: The abstract provides aggregate empirical counts from our detection methodology. Full details on exclusion criteria, classification rules for speculative liquidations, and any supporting statistical validation appear in Section 3. We will revise the abstract to reference the methodology section explicitly and note that error bars or confidence intervals from the underlying counts can be added to a revised version or supplementary figure. revision: yes

  2. Referee: [Abstract] Abstract: The claim that Chainlink updates on Optimism can predict subsequent updates on Arbitrum and Base, creating exploitable windows, lacks any reported lead-time distributions, conditional probabilities, or explicit comparison against typical L2 propagation latencies (~200-2000 ms), which is load-bearing for establishing that the observed statistical timing differences are practically exploitable in real time.

    Authors: The abstract summarizes the predictability result derived from our dataset of 12,009 updates. Lead-time distributions, conditional probabilities, and direct comparisons to L2 propagation latencies are reported in Section 4. We will revise the abstract to state that the observed timing differences are shown to exceed typical L2 latencies in the full analysis. revision: yes

  3. Referee: [Abstract] Abstract and dataset description: The analysis of DON configurations (deviation thresholds, heartbeat intervals, and price observations) across 63 feeds does not quantify whether the timing deltas remain actionable after accounting for cross-chain observation latency, transaction construction time, and competition from other searchers, leaving the exploitability conclusion unsupported by the presented evidence.

    Authors: The abstract condenses the finding that independent DONs create predictable windows. Section 5 discusses the deltas relative to L2 block times and oracle frequencies. We agree the abstract does not explicitly model additional latencies or searcher competition; we will add a limitations discussion in the revised manuscript clarifying the scope of the empirical timing analysis while retaining the statistical predictability result. revision: partial

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The paper's central claims rest on empirical collection and statistical comparison of 12,009 real-world Chainlink oracle update timestamps across Optimism, Arbitrum, Base, and Ethereum. No equations, fitted parameters, or derivations are shown that reduce predictions to inputs by construction; the reported cross-chain timing patterns are direct observations from external data rather than self-referential modeling. No self-citations, ansatzes, or uniqueness theorems appear in the provided text as load-bearing elements.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical model or derivation is presented; the work is purely empirical measurement with no free parameters, axioms, or invented entities required beyond standard blockchain data assumptions.

pith-pipeline@v0.9.1-grok · 5868 in / 1192 out tokens · 28229 ms · 2026-06-28T09:45:43.925841+00:00 · methodology

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Reference graph

Works this paper leans on

13 extracted references · 1 canonical work pages

  1. [1]

    Proceedings of the ACM Internet Measurement Conference (IMC) , year =

    Qin, Kaihua and Zhou, Liyi and Gamito, Pablo and Jovanovic, Philipp and Gervais, Arthur , title =. Proceedings of the ACM Internet Measurement Conference (IMC) , year =

  2. [2]

    Oracle Extractable Value (

    Greene, Jacob and. Oracle Extractable Value (. 2024 , note =

    2024

  3. [3]

    arXiv preprint arXiv:2405.00138 , year =

    Torres, Christof Ferreira and others , title =. arXiv preprint arXiv:2405.00138 , year =

    arXiv

  4. [4]

    2025 , note =

    Finkbeiner, Colin and Almashaqbeh, Ghada , title =. 2025 , note =

    2025

  5. [5]

    2024 , note =

    Humphry, Rebecca and others , title =. 2024 , note =

    2024

  6. [6]

    DeFi '24: Proceedings of the Workshop on Decentralized Finance and Security , year =

    Yang, Sen and Zhang, Fan and Ken, Huang and Chen, Xi and Yang, Youwei and Zhu, Feng , title =. DeFi '24: Proceedings of the Workshop on Decentralized Finance and Security , year =

  7. [7]

    Financial Cryptography and Data Security

    Gansäuer, Robin and Ben Aoun, Hichem and Droll, Jan and Hartenstein, Hannes , title =. Financial Cryptography and Data Security. FC 2025 International Workshops , year =

    2025

  8. [8]

    Journal of Corporate Finance , volume =

    Nadler, Matthias and Schuler, Katrin and Schär, Fabian , title =. Journal of Corporate Finance , volume =. 2026 , issn =

    2026

  9. [9]

    Price Arbitrage for DeFi Derivatives , year=

    Vakhmyanin, Ivan and Volkovich, Yana , booktitle=. Price Arbitrage for DeFi Derivatives , year=

  10. [10]

    Designing for Fair Oracle Extractable Value: A Theoretical Framework and Empirical Findings from DeFi

    Andreoulis, Nikolaos and Maggio, Marco Di and Merino, Louis-Henri and Montag, Kyle and Ward, James. Designing for Fair Oracle Extractable Value: A Theoretical Framework and Empirical Findings from DeFi. Mathematical Research for Blockchain Economy. 2026

    2026

  11. [11]

    2024 , eprint=

    Cross-Rollup MEV: Non-Atomic Arbitrage Across L2 Blockchains , author=. 2024 , eprint=

    2024

  12. [12]

    7th Conference on Advances in Financial Technologies (AFT 2025) , pages =

    Ozan Solmaz and Lioba Heimbach and Yann Vonlanthen and Roger Wattenhofer , title =. Proceedings of the 7th Conference on Advances in Financial Technologies (AFT 2025) , series =. 2025 , publisher =. doi:10.4230/LIPIcs.AFT.2025.28 , url =

    work page doi:10.4230/lipics.aft.2025.28 2025

  13. [13]

    CoinGecko API Documentation , year =