Mind · Reasoning

SelfConsistency

Sample multiple reasoning chains, select by majority

Definition

Mechanism

A variance-reduction technique where the same query is processed N times independently (with temperature > 0), producing N candidate answers. The final answer is selected by majority Aggregate (Mode). Exploits the intuition that correct reasoning paths are more likely to converge on the same answer than incorrect ones. It aggregates multiple reasoning paths via Aggregate to determine the most robust answer.

Invariants

  1. Aggregation: Final answer determined by plurality or weighted aggregation
  2. Independence: Each sample must be generated without knowledge of others
  3. N >= 3: Minimum samples for meaningful convergence

Risks

Failure modes

  1. Consistent Wrongness

    All N samples converge on the same incorrect answer (systematic bias).

  2. Cost Explosion

    N samples means N times the compute cost.

Relationships

Builds on

References

Infrastructure

Aggregate

Reduce a set to a summary statistic

Nothing in this library builds on this pattern yet.

Reference

Identity

Ref
SelfConsistency#4f68
Sema ID
sema:SelfConsistency#mh:SHA-256:4f68cebc4f82197975d6098701b0431bafb1e79792d19cb69a8d9dbad5036b8a
Ring
2
Tier
2
Updated
2026-11-11
Supersedes
  • sema:SelfConsistency#mh:SHA-256:543df3dae7e7343a60ce588b0dac22883ec50c8ae0816ea6b25cb697f238cd7d
  • sema:SelfConsistency#mh:SHA-256:2095d12c9020575e57fc798f2f5b9d0a112bc8827e2c015e0d894a456427efbd
  • sema:SelfConsistency#mh:SHA-256:a1cdf8b8b168783be68ae86cda126d7518a53f01a758a6a0df486f3cf0e7d9af