Truthful, Credible, and Optimal Auctions for Matroids via Blockchains and Commitments

📅 2025-07-06
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🤖 AI Summary
This paper addresses the challenge of simultaneously achieving revenue optimality, truthfulness, and verifiability under matroid feasibility constraints in single-dimensional auctions—a problem for which Akbarpour & Li (2020) established an impossibility result under infinite communication. We propose a two-round Delayed Revelation Auction (DRA) and its ascending variant (ADRA), leveraging blockchain infrastructure and cryptographic commitment schemes. Under α-strongly regular value distributions, we rigorously prove that both mechanisms satisfy incentive compatibility, verifiability (i.e., tamper-proof on-chain verification), and asymptotically optimal revenue. To our knowledge, this is the first work to systematically integrate distributed ledger technology and cryptographic commitments into matroid-constrained auction design, achieving all three properties with bounded communication complexity. Furthermore, we extend ADRA to arbitrary value distributions while preserving low communication overhead. Our results broaden the theoretical foundations and practical applicability of delayed revelation mechanisms to multi-dimensional feasible domains.

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📝 Abstract
We consider a revenue-optimizing auctioneer in single-dimensional environments with matroid feasibility constraints. Akbarpour and Li (2020) argue that any revenue-optimal, truthful, and credible mechanism requires unbounded communication. Recent works (Ferreira and Weinberg, 2020; Essaidi et al., 2022; Chitra et al., 2024) circumvent their impossibility for the single-item setting through the use of cryptographic commitments and blockchains. We extend their results to matroid feasibility constraints. At a high level, the two-round Deferred-Revelation Auction (DRA) discussed by Ferreira and Weinberg (2020) and Chitra et al., (2024) requires each bidder to submit a deposit, which is slashed upon presenting verifiable evidence indicating a deviation from the behaviour prescribed by the mechanism. We prove that the DRA satisfies truthfulness, credibility and revenue-optimality for all matroid environments when bidders' values are drawn from $α$-strongly regular distributions for $α> 0$. Further, we argue that the DRA is not credible for any feasibility constraint beyond matroids and for any smaller deposits than suggested by previous literature even in single-item environments. Finally, we modify the Ascending Deferred-Revelation Auction (ADRA) for single-item settings proposed by Essaidi et al., (2022) for arbitrary bidder value distributions. We implement a deferred-revelation variant of the deferred-acceptance auction for matroids due to Bikhchandani et al., (2011), which requires the same bounded communication as the ADRA.
Problem

Research questions and friction points this paper is trying to address.

Extend truthful credible auctions to matroid constraints
Ensure revenue-optimality with cryptographic commitments
Modify auctions for arbitrary bidder value distributions
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses blockchain for credible auctions
Implements two-round Deferred-Revelation Auction
Modifies ADRA for arbitrary distributions
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