Research & Papers

New paper reveals optimal bounty to prevent delays in threshold systems

A uniform bounty per share can stop coalitions from delaying task completion.

Deep Dive

In threshold systems, a public task completes only after κ verifiable shares are committed. Honest participants create Nstar = κ + Δ share opportunities by deadline t*, where Δ is the slack. A coalition can delay completion by withholding at least Δ+1 shares, earning delay value L and potentially extra fee revenue during recovery. The paper introduces a nonnegative completion bounty that depends only on committed shares, expires if late, and uses no deposits or punishments.

The optimal incentive rule is a uniform bounty: each admissible horizon share receives B/Nstar if completion occurs by t*, otherwise zero. Full participation is ex-post strongly delay-proof exactly when (Δ+1)f + (Δ+1)B/Nstar ≥ L + R1+, where R1+ is an upper bound on coalition's incremental fee revenue in a recovery slot. The worst-case budget B* is tight for any nonnegative completion-measurable bounty. The result applies to threshold signatures, data availability certification, coded dissemination, and generic k-of-n tasks. They also show no transfer rule based only on completed shares can eliminate a final slot race.

Key Points
  • Optimal rule is a uniform bounty B/ℳ^* paid only if task completes by deadline, requiring no deposits or punishments.
  • Condition for delay-proofness: (Δ+1)f + (Δ+1)B/ℳ^* ≥ L + R_1^+, with worst-case budget B^* = (ℳ^*/(Δ+1))(L+R_1^+ - (Δ+1)f)^+.
  • Applies broadly to threshold signatures, data availability certification, coded dissemination, and k-of-n completion tasks.

Why It Matters

Provides provably optimal, punishment-free incentive design for decentralized systems, reducing risk of coalition-based delays.

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