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Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure

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arxiv 2503.07558 v1 pith:BVCLKP3Z submitted 2025-03-10 cs.GT cs.ETcs.LGecon.THq-fin.TR

classification cs.GTcs.ETcs.LGecon.THq-fin.TR
keywords sourceapplicationsconditionequilibriumnetworksignaltruthfulmechanism
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical infrastructure networks (a.k.a. "DePIN"), an emerging application domain in which physical services (e.g., sensor information, bandwidth, or energy) are provided at least in part by untrusted and self-interested parties. A key challenge in these signal network applications is verifying the level of service that was actually provided by network participants. We first establish a condition called source identifiability, which we show is necessary for the existence of a mechanism for which truthful signal reporting is a strict equilibrium. For a converse, we build on techniques from peer prediction to show that in every signal network that satisfies the source identifiability condition, there is in fact a strictly truthful mechanism, where truthful signal reporting gives strictly higher total expected payoff than any less informative equilibrium. We furthermore show that this truthful equilibrium is in fact the unique equilibrium of the mechanism if there is positive probability that any one observer is unconditionally honest (e.g., if an observer were run by the network owner). Also, by extending our condition to coalitions, we show that there are generally no collusion-resistant mechanisms in the settings that we consider. We apply our framework and results to two DePIN applications: proving location, and proving bandwidth. In the location-proving setting observers learn (potentially enlarged) Euclidean distances to the source. Here, our condition has an appealing geometric interpretation, implying that the source's location can be truthfully elicited if and only if it is guaranteed to lie inside the convex hull of the observers.

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Cited by 2 Pith papers

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

  1. SoK: Market Microstructure for Decentralized Prediction Markets (DePMs)

    cs.CE 2025-10 conditional novelty 5.0 of 10

    A systematic review that organizes decentralized prediction market designs into a seven-stage workflow and documents how Polymarket diverged from earlier systems.

  2. Beyond Byzantine: An Organizational Consensus Algorithm for Self-Interested Agents Under Information Asymmetry

    cs.GT 2026-07 reject novelty 4.0 of 10

    OCA's simulation shows large coordination savings, but its theoretical guarantees rest on an invalid Perron-Frobenius application and a self-confirming penalty threshold.

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