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R0055/2026-04-01/C009 — Claim Definition

Claim as Received

RLVR only works in domains where correctness is objectively verifiable (mathematics, code execution)

Claim as Clarified

RLVR only works in domains where correctness is objectively verifiable (mathematics, code execution)

BLUF

Partially correct but overstated. RLVR has primarily demonstrated success in math and code, but 'only works' is too strong. Research is actively extending RLVR to other domains, and the limitation is about current application, not fundamental impossibility. Only 60.3% of math problems are verifiable by rule-based methods.

Scope

  • Domain: AI alignment, sycophancy, enterprise AI
  • Timeframe: 2022-2026
  • Testability: Verifiable against published research and documentation

Assessment Summary

Probability: Likely (55-80%)

Confidence: Medium

Hypothesis outcome: H2 prevails — see assessment for details.

[Full assessment in assessment.md.]

Status

Field Value
Date created 2026-04-01
Date completed 2026-04-01
Researcher profile Phillip Moore
Prompt version Unified Research Methodology v1
Revisit by 2026-10-01
Revisit trigger Successful RLVR applications in non-verifiable domains