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~ similar to 2604.14135v2· 20 results

cs.CRcs.DCcs.GTRecentJun 3, 2026

Bitcoin After Block Rewards

Junhyuk Lee

This paper analyzes the conditions under which Bitcoin's security might fail due to miners deviating from honest mining when block rewards decline to zero, concluding that protocol mechanisms can miti…

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q-fin.GNcs.CRRecentApr 30, 2026

The Satoshi Overhang: Why the Bear Case is Bounded

Karl T. Ulrich

The paper analyzes the potential market impact of a large, unknown Bitcoin holder (the Satoshi overhang) and concludes that the mechanical downside risk is bounded, suggesting the terminal states are…

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cs.CRRecentMar 29, 2026

Ordering Power is Sanctioning Power: Sanction Evasion-MEV and the Limits of On-Chain Enforcement

Di Wu, Yuman Bai, Shoupeng Ren, Xinyu Zhang +4 more

The paper demonstrates that on public blockchains, the ability to dictate transaction order (ordering power) is the true source of sanctioning power, as block producers can extract value (SE-MEV) by p…

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cs.GTcs.CRRecentMay 7, 2026

Adversarial procurement in blockchains

Maryam Bahrani, Michael Neuder, S. Matthew Weinberg

The paper designs an optimal mechanism for soliciting expensive computational tasks in adversarial blockchain environments, showing that the loss of optimality scales logarithmically with the cost of…

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cs.CRcs.GTecon.THRecentApr 7, 2026

Inertial Mining: Equilibrium Implementation of the Bitcoin Protocol

Manuel Mueller-Frank, Minghao Pan, Omer Tamuz

The paper proposes 'inertial mining,' a novel protocol that ensures miners follow the intended Bitcoin rules by making the protocol an economic equilibrium, thereby preventing profitable deviations li…

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cs.CRcs.AIcs.CLRecentMay 28, 2026

Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage

Shahinul Hoque, Jinghuai Zhang, Jinyuan Sun, Fnu Suya

The paper demonstrates that the current per-token billing model for LLMs is susceptible to systematic overcharging because auditing frameworks must rely on evidence provided by the very companies that…

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cs.CRcs.AIcs.CLRecentMay 28, 2026

Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage

Shahinul Hoque, Jinghuai Zhang, Jinyuan Sun, Fnu Suya

The paper demonstrates that the current per-token billing model for LLMs is susceptible to systematic inflation because auditing frameworks must rely on evidence provided by the service provider, crea…

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cs.CRcs.CYcs.DCRecentJun 3, 2026

The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol

Abhinaba Basu

This empirical study of Pearl's cuPOW protocol demonstrates that the network's Proof-of-Useful-Work mechanism generates zero useful AI computation, instead causing economic harm and displacing legitim…

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cs.CRcs.CERecentApr 5, 2026

Refunded but Rewarded: The Double Dip Attack on Cashback Reward Engines

S M Zia Ur Rashid, Suman Rath

The paper analyzes and documents various double-dip reward abuse attacks that exploit flaws in how cashback and reward engines handle transaction refunds, proposing formal invariants and defensive alg…

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cs.GTcs.CRRecentMay 18, 2026

Concave is the New Linear: The Impossibility of Anti-Plutocratic DAO Governance

Austin Bennett, Preston Vander Vos, Duc V. Le, Mira Belenkiy

The paper proves that any voting rule based solely on wallet balance, including anti-plutocratic mechanisms like Quadratic Voting, is fundamentally vulnerable to Sybil attacks on permissionless blockc…

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cs.CRcs.SERecentMay 5, 2026

Firmware Distribution as Attack Surface: A Security Study of ASIC Cryptocurrency Miners

Pierre Pouliquen, Hadrien Barral, David Naccache, Thibaut Heckmann +1 more

This study demonstrates that the publicly distributed firmware of ASIC cryptocurrency miners constitutes a primary and sufficient attack surface, allowing attackers to reconstruct internal architectur…

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cs.CRRecentMay 28, 2026

Scarcity Is Not Enough: An Impossibility Result for Linear Sybil Cost Under Parallelizable Resources

Homayoun Maleki, Nekane Sainz, Jon Legarda, Igor Santos-Grueiro

The paper proves that for resources with structural parallelizability (like divisibility and transferability), it is impossible to enforce a linear cost for concentrating influence, demonstrating that…

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cs.CRcs.DCcs.GTRecentMay 25, 2026

Proof of Useful Attestation: A Consensus Primitive for Attestation-Native Chains

Stefan Stefanović

The paper proposes Proof of Useful Attestation (PoUA), a consensus mechanism that weights validator vote power not just by staked capital, but also by a reputation score earned through performing vali…

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cs.CRcs.CYRecentMar 25, 2026

From Hype to Collapse: Investigating Rug Pull Scams on Solana

Jiaxin Chen, Ziwei Li, Zigui Jiang, Ruihong He +3 more

This paper analyzes the Solana Rug Pull ecosystem by creating a large-scale, manually verified dataset of fraudulent tokens, identifying three key behavioral patterns, and characterizing the resulting…

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cs.CRcs.GTRecentApr 5, 2026

Perils of Parallelism: Transaction Fee Mechanisms under Execution Uncertainty

Sarisht Wadhwa, Aviv Yaish, Fan Zhang, Kartik Nayak

The paper analyzes transaction fee mechanisms in modern blockchains that use parallel execution and contingency, proving an inherent trade-off between minimizing risks for users and maximizing revenue…

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cs.DCcs.CRcs.GTRecentApr 21, 2026

Intercloud: Eventual Consistency for Decentralised Economies via Chilling-Effect Consensus

Gregory Magarshak

Intercloud proposes a decentralized economic network that achieves eventual consistency and security using a novel 'chilling-effect consensus' mechanism, eliminating the need for global coordination.

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cs.GTcs.CRcs.LGRecentMay 8, 2026

Quotient Semivalues for False-Name-Resistant Data Attribution

Florian A. D. Burnat, Brittany I. Davidson

The paper introduces the quotient semivalue mechanism to provide fair data attribution that is resistant to contributors manipulating their reported identities by splitting or duplicating data.

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cs.LGcs.AIcs.CRRecentApr 21, 2026

When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift

Saket Maganti

This paper critically re-evaluates the use of Graph Neural Networks (GNNs) for Bitcoin fraud detection, demonstrating that under strict, leakage-free temporal evaluation, simple feature-only models si…

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cs.CRstat.APRecentMay 8, 2026

Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information

Meng He, Jia Long Loh

The paper proposes a novel structural invariant approach, derived from the economic constraints of fraud, that amplifies weak, low-precision signals into highly accurate fraud detections without requi…

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cs.CRRecentApr 5, 2026

Invisible Adversaries: A Systematic Study of Session Manipulation Attacks on VPNs

Yuxiang Yang, Ao Wang, Xuewei Feng, Qi Li +1 more

This paper systematically identifies and demonstrates multiple session manipulation attacks against VPN connection tracking frameworks, revealing widespread vulnerabilities in popular VPN services.

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