Additional bibliography

  1. Verifiable Sealed-Bid Auction on the Ethereum Blockchain by Hisham S. Galal and Amr M. Youssef, https://eprint.iacr.org/2018/704.pdf

  2. SchellingCoin: A Minimal-Trust Universal Data Feed, Posted by Vitalik Buterin on March 28, 2014, https://blog.ethereum.org/2014/03/28/schellingcoin-a-minimal-trust-universal-data-feed/

  3. Nash Equilibria and Schelling Points, by Scott Alexander, https://www.lesswrong.com/posts/yJfBzcDL9fBHJfZ6P/nash-equilibria-and-schelling-points

  4. The Power of Focal Points Is Limited: Even Minute Payoff Asymmetry May Yield Large Coordination Failures by Vincent P. Crawford, Uri Gneezy, and Yuval Rottenstreich, https://rady.ucsd.edu/faculty/directory/gneezy/pub/docs/focal-points.pdf

  5. Trustee: Full Privacy Preserving Vickrey Auction on top of Ethereum, by Hisham S. Galal and Amr M. Youssef, https://eprint.iacr.org/2019/102.pdf

  6. Empirical Measurements on Pricing Oracles and Decentralized Governance for Stablecoins by Wanyun Gu, Anika Raghuvanshi & Dan Boneh, https://assets.pubpub.org/vnkw477p/51581338545992.pdf

  7. A Smart Contract Oracle for Approximating Real-World, Real Number Values, by William George and Clément Lesaege, https://drops.dagstuhl.de/opus/volltexte/2020/11970/pdf/OASIcs-Tokenomics-2019-6.pdf

  8. Secure sealed-bid online auctions using discreet cryptographic proofs by Jose A. Montenegroa, Michael J. Fischer, Javier Lopez, Rene Peralta, https://www.sciencedirect.com/science/article/pii/S0895717711004535

  9. Oracle-Efficient Online Learning and Auction Design, by Miroslav Dudík, Nika Haghtalab, Haipeng Luo, Robert E. Schapire, Vasilis Syrgkanis, Jennifer Wortman Vaughan, https://www.cs.cornell.edu/~nika/pubs/main-oracle-efficient.pdf

  10. An Iterative Generalized Vickrey Auction: Strategy-Proofness without Complete Revelation by David C. Parkes, https://dash.harvard.edu/bitstream/handle/1/4101696/Parkes_Iterative.pdf?sequence=2

  11. Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence, David Cerezo Sánchez, https://eprint.iacr.org/2019/1054.pdf

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