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Augur: a decentralized oracle and prediction market platform

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arxiv 1501.01042 v3 pith:D534QVQE submitted 2015-01-05 cs.CR

classification cs.CR
keywords reputationaugurmarketstokenwillholderspredictionmarket
verification ladder T0 review T1 audit T2 compute T3 formal
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Augur is a trustless, decentralized oracle and platform for prediction markets. The outcomes of Augur's prediction markets are chosen by users that hold Augur's native Reputation token, who stake their tokens on the actual observed outcome and, in return, receive settlement fees from the markets. Augur's incentive structure is designed to ensure that honest, accurate reporting of outcomes is always the most profitable option for Reputation token holders. Token holders can post progressively-larger Reputation bonds to dispute proposed market outcomes. If the size of these bonds reaches a certain threshold, Reputation splits into multiple versions, one for each possible outcome of the disputed market; token holders must then exchange their Reputation tokens for one of these versions. Versions of Reputation which do not correspond to the real-world outcome will become worthless, as no one will participate in prediction markets unless they are confident that the markets will resolve correctly. Therefore, token holders will select the only version of Reputation which they know will continue to have value: the version that corresponds to reality.

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Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. DECO: Liberating Web Data Using Decentralized Oracles for TLS

    cs.CR 2019-09 reject novelty 8.0 of 10

    DECO introduces a three-party TLS handshake and zero-knowledge selective opening to prove web data provenance, but as specified a malicious prover can cancel the verifier's key share and forge session data.

  2. Towards chemistries in dynamical systems

    cs.DM 2026-07 conditional novelty 6.0 of 10

    A finite dynamical system can be described as a Petri-net chemistry when a token map and transition map are compatible; an optional uniqueness criterion restricts when this description is least ambiguous.

  3. Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence

    cs.DC 2024-12 conditional novelty 6.0 of 10

    C-LLM is a framework for feeding LLM answers into blockchain smart contracts via oracles, and SenteTruth aggregates textual answers using SBERT semantic similarity plus truth discovery to resist up to 40% malicious nodes.

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