Burton Stage WS
Watch live from Burton Stage WS at EthCC[8]. All times are in CEST (Central European Summer Time).

Burton Stage WS
Watch live from Burton Stage WS at EthCC[8]. All times are in CEST (Central European Summer Time).

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Monday, June 30's Schedule - Burton Stage WS
Optimizing Commit-and-Reveal for Smart Contracts

Julie Bettens
ChainSecurity
We present results relevant to front-running protection systems based on threshold cryptography, which are currently eliciting interest. They are being implemented and deployed actively and will likely be part of Endgame Ethereum and rollups.
At the Intersection of Data Availability Sampling and Sharded Mempools

Leo
MigaLabs
To achieve 10x higher throughput in Ethereum, we need a sharded blob mempool and data availability sampling. We explain a design for fast and efficient blob dissemination and data sampling in the p2p networking layer.
Revenue and Pricing Models for Preconfirmations

Conor McMenamin
Nethermind
We model the expected proposer-revenue effects of various preconfirmation protocols, as well as discuss the knock-on effect of preconfirmation revenue on the proposer set. We also propose a pricing model for preconfirmations.
EVM.lua: Supercharging Ethereum calls with in-memory execution

Everton Fraga
AWS
EVM.lua is a research project that embeds an Ethereum Virtual Machine interpreter within Redis using Lua-based Functions. By enabling Redis to directly interpret EVM opcodes, this innovation aims to drastically reduce processing time of eth_calls.
Enhancing Solidity Compiler Reliability Through Advanced Mutation-Based Testing and Context-Aware Differential Analysis

Andy Zhou
BlockSec
This talk introduces a mutation-based framework for Solidity compiler verification, combining LLM-augmented seeding, Yul inline assembly mutations, and state-aware differential testing. It identified 64+ bugs (solc/zksolc) including critical code
Forking RANDAO Manipulations

Ábel Nagy
Budapest, Eötvös Loránd University
Presenting the main ideas, results, and key technical details from our work, 'Forking the RANDAO: Manipulating Ethereum’s Distributed Randomn' co-authored by István Seres, János Tapolcai and Bence Ladóczki: https://eprint.iacr.org/2025/037.pdf.
Building a Sustainable Home Staking Model for Ethereum

Dima Gusakov
Lido
Home staking is the ideal but often unattainable Ethereum staking model. This talk explores the technical and economic barriers to home staking and how how innovations like CSM can help to build a more resliant and decentralised network
Improving client diversity with Vero

Luca Winter
Serenita
Vero is a new validator client that can aggregate data from multiple beacon nodes running different client implementations. This significantly reduces the impact of any single client bug, making Ethereum more resilient while also reducing risk.
Dynamic SNARKs and its Applications

Shravan Srinivasan
Lagrange Labs
In this talk, I will present dynamic SNARKs, a new class of zk-SNARKs that enable sublinear-time proof updates instead of recomputing from scratch whenever the statement or witness changes, unlocking countless real-world applications.
Designing for Change: The Modular Architecture of Zircuit Prover

Igor Braga
Zircuit
Learn how Zircuit Prover's modular design accelerates ZK integration, reduces costs, supports diverse proof systems, and optimizes performance
Completing the Circle: Transitioning from Verkle to Binary Trees in Ethereum

Guillaume Ballet
Ethereum Foundation / go-ethereum
Binary trees are making a strong return as the preferred solution for implementing stateless Ethereum. This talk will go over the history, design trade-offs and future potential of replacing verkle with binary trees.
Implementing Auction-based MEV Protocol on fast EVM Blockchain

Lewis Kim
Kaia Labs
Most of MEV's profit has been distributed to centralized entities in many EVM blockchains. We propose a new auction-based MEV protocol and its implementation for high-performance EVM blockchains.
An engineering perspective to zero-knowledge proofs and optimization

Zhengxun Wu
Independent
I will first discuss when zero-knowledge is useful from computational efficiency perspective, and then briefly go over how modern zero knowledge systems work. I will then use some examples like using randomness from Fiat-Shamir to optimize circuits to illustrate some optimization techniques, and if time allows, discuss results and unlocked applications with better performance.