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 |