C007¶


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

Claim: 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.

Probability: Very likely (80-95%) | Confidence: High

Summary¶

Entity	Description
Claim Definition	Claim text, scope, status
Assessment	Full analytical product with reasoning chain
ACH Matrix	Evidence x hypotheses diagnosticity analysis
Self-Audit	ROBIS-adapted 5-domain audit

Hypotheses¶

ID	Hypothesis	Status
H1	RLVR replaces human preferences with deterministic verification	Plausible
H2	RLVR replaces preferences in some domains but not universally	Supported
H3	RLVR does not use deterministic verification	Eliminated

Searches¶

ID	Target	Results	Selected
S01	RLVR reinforcement learning verifiable rewards deterministic verification	10	1

Sources¶

Source	Description	Reliability	Relevance
SRC01	RLVR technical documentation and surveys	High	High

Revisit Triggers¶

If RLVR is shown to work for subjective tasks or if the deterministic characterization is incorrect