Papers for

cryptocurrency developers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Multiply with carry generators improved for faster quality random numbers

Scrambled Multiply-with-Carry Pseudorandom Number Generators

Abstract: Multiply-with-carry (MWC) generators are very fast pseudorandom number generators whose quality depends on the choice of a multiplier, and is usually assessed by applying the spectral test to an associated multiplicative congruential generator. We show that the special form of the modulus imposes structural limitations on the lattice structure of every MWC generator, which the generalized MWC generators of Goresky and Klapper mitigate; in our tests, xoring each output with its carry removes them. Since these limitations make the usual worst-case criterion useless, we rank candidates by a weighted geometric mean of their figures of merit, which does not depend on their normalization, and suggest multipliers for generators with 64 to 256 bits of state. Along the way, we correct some errors in the literature. In the end, we propose MWC192X, a 64-bit generator with 192 bits of state that passes all tests we are aware of, and emits an output in half a nanosecond.

Mon 19 OctCryptography and SecurityMathematical Software
The gist
Pseudorandom number generators are important for simulations and computations, but some are limited by their internal math structure. The authors show that multiply-with-carry (MWC) generators have structural weaknesses that affect their randomness quality. They propose a way to improve these generators by mixing their outputs with the carry value, leading to stronger randomness. They also suggest specific settings for building fast and reliable MWC generators with larger internal states.
Open → 2610.27313v1

Python package extracts detailed Uniswap trade and liquidity data

dexamine: A Python package for Uniswap event data on Ethereum

Abstract: Decentralized exchanges record trading and liquidity provision on public blockchains, but empirical analysis requires interpreting these records and linking them to execution metadata. dexamine is a Python package that parses Uniswap v2 and v3 events on Ethereum. It converts transaction receipt logs into observations of trades and liquidity changes, with token quantities, pool state, transaction order, and gas information. The package separates data retrieval, contract metadata, protocol interpretation, and output construction. The repository provides recorded Ethereum responses and an offline reproducible example, and version 1 has been used to construct data for an empirical study of price discovery in decentralized markets.

Wed 9 SeptSoftware Engineering
The gist
Decentralized exchanges like Uniswap record every trade and liquidity change on the Ethereum blockchain. But this raw data is hard to read and connect to other transaction details. The authors built a Python tool called dexamine that turns these complex blockchain logs into easy-to-understand information about trades, tokens, and gas use. This helps people study how decentralized markets work using real data.
Open → 2609.10407v1