C007 — Claim Definition¶


Research	R0057 — RLHF Yes-Men Claims v3
Run	2026-04-01
Claim	C007

Claim as Received¶

RLVR (Reinforcement Learning with Verifiable Rewards) replaces human preference signals with deterministic correctness verification.

Claim as Clarified¶

RLVR (Reinforcement Learning with Verifiable Rewards) replaces human preference signals with deterministic correctness verification.

BLUF¶

Confirmed with scope caveat. RLVR uses programmatic verifiers providing deterministic feedback, replacing human preference labels. However, it only works where ground truth exists (math, code) and does not universally replace RLHF for subjective tasks.

Scope¶

Domain: AI sycophancy research
Timeframe: Current (2024-2026)
Testability: Verifiable against published research and public records

Assessment Summary¶

Probability: Very likely (80-95%)

Confidence: High

Hypothesis outcome: H2 is supported based on available evidence.

[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	2027-04-01
Revisit trigger	If RLVR is shown to work for subjective tasks or if the deterministic characterization is incorrect