kaal:claim:7456999-064

Mode B remains above 0.90 simulated accuracy up to a 0.49 Sybil share, but unspecified detector and update components prevent this result from establishing Sybil resistance.

In this parameterized simulation, Mode B, the discrete two-round architecture, holds mean accuracy above 0.90 up to a Sybil fraction of 0.49 across 600 trials. Mode A, the continuous-coupling schedule, reaches 0.874 under the same conditions. Because the detector, dispersion statistic, threshold, false-positive and false-negative model, u p d a t e , t h e R o u n d 2 u p d a t e , a n d are unspecified, this figure is not evidence that the Sybil-resistance design objective has been achieved.

Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026), V.B.3 Finding 3: in the sweep, Mode B holds accuracy close to the majority limit, p. 24
https://ssrn.com/abstract=7456999 · source PDF

Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999

• the parameterized simulation in Finding 3

failuresupport: assertedconsensus-and-securityempirical-evidenceresearch-methods

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