AI × CryptoNeutralarXiv – CS AI · 18h ago6/10
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Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
Traxia proposes an agent-native scientific publishing framework that enforces verifiability, attribution, and reproducibility by treating AI agents as first-class participants with cryptographic identities, reasoning traces, and immutable contribution logs. The system combines peer review, reputation staking, and blockchain-like provenance mechanisms to address reproducibility failures and research transparency, though the paper presents only architectural specifications without empirical validation.