# kaal:claim:6269518-039

**Claim.** The mechanism parameters are presented as design choices rather than derived from first principles, so empirical calibration through simulation and field experimentation is necessary to identify values that produce robust equilibria across diverse domains.

**Type.** condition  **Support.** argued

**Source quote.**

> penalty magnitudes) are presented as design choices rather than derived from first principles. Empirical calibration through simulation and field experimentation will be necessary to identify parameter values that produce robust equilibria across diverse domain contexts.

**From.** Wulf A. Kaal, *Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance* (2026), VI.C. Limitations and Future Work, page 17

**Cite as.** Wulf A. Kaal, Citation Honesty Mechanisms in Weighted Directed Acyclic Graph Governance (2026). SSRN: https://ssrn.com/abstract=6269518

**Verify.** sha256 of source PDF `f096ecf5b41bb9ae8642facd54b9149c7b594de53a1cc32718a4d806b772f88f` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Citation%20Honesty%20Mechanisms%20in%20Weighted%20Directed%20Acyclic%20Graph%20Governance.pdf

**Topics.** institutional-design

**Keywords.** parameter-calibration, simulation, field-experiments, limitations

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