Reputation, Residual Power, and Verification Investment in Digital Settlement

Static residual-trust analysis treats the residual surface of an issuer or operator as institutional given. This paper embeds thatpartition in a repeated interaction with endogenous reputation and user exit. An operator chooses verification investment av,residual intensity ar, and (optionally) disclosure; users update reputation from residual incidents and allocate adoption against anoutside option. Under stated regularity conditions there exists a discount-factor threshold beta* such that for all beta > beta* theMarkov-perfect verification level strictly exceeds the myopic benchmark. Assumption A3 (strictly increasing continuation valuein reputation) is derived from supermodular primitives. A calibrated numerical example with incident probability p =ar/(1+kappa av) yields beta* approximately 0.4 under the reported parameters. Incomplete-contract mapping to retail CBDC clarifies why residual power remains large under short horizons. Open zero-knowledge settlement artefacts illustrate high avwith named residual operator power. Keywords: residual trust; reputation; repeated games; verification; CBDC; incomplete contracts; zero-knowledge settlement. JEL: C73, D82, D86, E42, G28. Working paper; not peer-reviewed. Numerical results are illustrative, not empirical estimates of any live system.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22078086
Primary Topic
Game Theory and Applications
Type
preprint
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preprint

Reputation, Residual Power, and Verification Investment in Digital Settlement

Angel Jose Toranzo Portela
Zenodo (CERN European Organization for Nuclear Research)
Game Theory and Applications
preprint

Reputation, Residual Power, and Verification Investment in Digital Settlement

Angel Jose Toranzo Portela
preprint en

Abstract

Static residual-trust analysis treats the residual surface of an issuer or operator as institutional given. This paper embeds thatpartition in a repeated interaction with endogenous reputation and user exit. An operator chooses verification investment av,residual intensity ar, and (optionally) disclosure; users update reputation from residual incidents and allocate adoption against anoutside option. Under stated regularity conditions there exists a discount-factor threshold beta* such that for all beta > beta* theMarkov-perfect verification level strictly exceeds the myopic benchmark. Assumption A3 (strictly increasing continuation valuein reputation) is derived from supermodular primitives. A calibrated numerical example with incident probability p =ar/(1+kappa av) yields beta* approximately 0.4 under the reported parameters. Incomplete-contract mapping to retail CBDC clarifies why residual power remains large under short horizons. Open zero-knowledge settlement artefacts illustrate high avwith named residual operator power. Keywords: residual trust; reputation; repeated games; verification; CBDC; incomplete contracts; zero-knowledge settlement. JEL: C73, D82, D86, E42, G28. Working paper; not peer-reviewed. Numerical results are illustrative, not empirical estimates of any live system.

Zenodo (CERN European Organization for Nuclear Research)
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Game Theory and Applications
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Reputation, Residual Power, and Verification Investment in Digital Settlement — Angel Jose Toranzo Portela · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS