3 papers in the archive (2026), average empirical rigor 7.7/10, average math complexity 7.2/10. Quadrant mix: Holy Grail ×3.
Works mostly in Crypto Markets & DeFi, Market Microstructure.
Frequent co-authors: Anton Chtepine (3), Antero Eloranta (3), Andrei Sebyakin (3), Arsenii Valitov (3), Sergey Barseghyan (2), Eduard Airapetian (1).
Scores are our LLM-assisted heuristics (methodology), not peer review or citation counts. Author pages are generated from paper metadata; name variants may split one person across pages. arXiv author page →
Ordered by a blend of empirical rigor (60%) and math complexity (40%).
We study the spread a liquidity provider needs to break even against counterparties that can exploit a stale quote, and we place two defenses on a single scale: repricing sooner and screening informed flow. A break-even condition pins down the exact screening rate at which a slower maker matches a f
We study optimal auction design for Maximum Extractable Value (MEV) auction markets on Ethereum. Using a dataset of 2.2 million transactions across three major orderflow providers, we establish three empirical regularities: extracted values follow a log-normal distribution with extreme right-tail co
This paper examines the impact of reducing Ethereum slot time on decentralized exchange activity, with a focus on CEX-DEX arbitrage behavior. We develop a trading model where the agent’s DEX transaction is not guaranteed to land, and the agent explicitly accounts for this execution risk when decidin