R0041/2026-04-01/Q003/H3¶
Statement¶
RLVR has no meaningful impact on sycophancy because sycophancy is a fundamentally different problem than the one RLVR solves.
Status¶
Current: Inconclusive
Supporting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E02 | The "sampler vs. thinker" debate suggests RLVR may only optimize search efficiency, not genuine reasoning |
| SRC03-E01 | RLVR degrades generation diversity, potentially worsening homogenization-related sycophancy |
Contradicting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E01 | In verifiable domains, RLVR does eliminate the reward model sycophancy vector |
| SRC02-E01 | RLVR verifiers are structurally resistant to reward hacking that enables sycophancy |
Reasoning¶
H3 overstates the case. While RLVR does not address sycophancy in subjective domains, it does meaningfully eliminate one sycophancy vector (the learned reward model) in verifiable domains. The evidence of RLVR's effectiveness in math and code prevents full elimination of H3, but the "sampler vs. thinker" debate and diversity degradation findings keep it inconclusive rather than eliminated.
Relationship to Other Hypotheses¶
H3 is the most skeptical position about RLVR's relevance. The evidence partially supports it (RLVR does not solve sycophancy broadly) but cannot fully confirm it (RLVR does eliminate one vector).