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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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17 results for Proof-of-Work

oPoW proposes a new PoW algorithm to reduce mining costs and environmental impact.

problem Scalability issues, environmental concerns, and systemic risks in Bitcoin PoW.
method oPoW is a novel PoW algorithm that shifts mining costs from electricity to hardware (CAPEX).
result oPoW reduces mining costs and improves network scalability, decentralization, and issuance.

The key cryptographic protocols used to secure the internet and financial transactions of today are all susceptible to attack by the development of a sufficiently large quantum computer. One particular area at risk are cryptocurrencies, a market currently worth over 150 billion USD. We investigate the risk of Bitcoin, …

2017-10-28abs ↗pdf ↗

The paper explores how mining costs, rewards, and blockchain security are interconnected.

problem Understanding the interdependencies between mining costs, mining rewards, and blockchain security.
method Theoretical derivation and empirical analysis using daily crypto market data and autoregressive distributed lag approach.
result Cryptocurrency price and mining rewards are intrinsically linked to blockchain security outcomes.

Bitcoin mining costs remain stable despite increased activity.

problem Stability of Bitcoin mining costs despite rising energy consumption.
method Estimation of global energy cost over a decade, considering changing oil costs and technological improvements.
result The cost of Bitcoin mining has remained relatively stable since 2010, relative to the volume of transactions.

This paper analyzes the profitability of selfish mining on blockchain, considering the risk of ruin.

problem The profitability of selfish mining on blockchain, considering the risk of ruin.
method Formulated a stochastic model and used tools from applied probability and analysis to determine expected profit.
result Explicit expressions for expected profit under different scenarios were derived, identifying conditions for selfish mining as a strategic advantage.

Staking and on-chain lending can reduce PoS network security if rewards are not calibrated properly.

problem Rational actors can reduce PoS network security if block rewards are not calibrated appropriately above on-chain lending yields.
method Simple stochastic model and agent-based simulations to validate the phase transition between staking and lending.
result Rational actors can reduce PoS network security if block rewards are not calibrated appropriately above on-chain lending yields.

Paper introduces proof-of-learning to verify ML model training.

problem No mechanism to prove ML model training parameters were obtained through optimization.
method Inspired by proof-of-work and verified computations, introduces proof-of-learning mechanism.
result Proves model training parameters were obtained through optimization with minimal adversary work.