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R0041/2026-04-01/Q003 — Self-Audit

ROBIS 4-Domain Audit

Domain 1: Eligibility Criteria

Rating: Low risk

Criterion Assessment
Criteria defined before searching Yes -- RLVR methodology, comparison to RLHF/DPO/KTO, domains, limitations, and sycophancy connection defined
Criteria consistent throughout Yes
Scope appropriate Mostly -- KTO was underrepresented in the evidence

Notes: The query asked about KTO specifically but insufficient KTO-specific evidence was found. This is flagged as a gap.

Domain 2: Search Comprehensiveness

Rating: Low risk

Criterion Assessment
Multiple search strategies used Yes -- 3 searches across methodology, production implementation, and limitations
Searches designed to test each hypothesis Yes -- searched for RLVR applicability (H1), domain limitations (H2), and fundamental critiques (H3)
All results dispositioned Yes -- 30 results returned, all dispositioned
Source diversity achieved Yes -- academic papers, technical explainers, implementation guides

Notes: 30 search results dispositioned across 3 searches.

Domain 3: Evaluation Consistency

Rating: Low risk

Criterion Assessment
All sources scored using same framework Yes
Evidence typed consistently Yes
ACH matrix applied Yes
Diagnosticity analysis performed Yes

Notes: No inconsistencies detected.

Domain 4: Synthesis Fairness

Rating: Low risk

Criterion Assessment
All hypotheses given fair hearing Yes -- H1 (broad applicability) was given fair hearing despite being unlikely
Contradictory evidence surfaced Yes -- RLVR's genuine value in verifiable domains acknowledged despite overall skeptical conclusion
Confidence calibrated to evidence Yes -- Medium-High reflects strong technical evidence with acknowledged rapid field movement
Gaps acknowledged Yes -- KTO gap, direct sycophancy comparison gap

Notes: The assessment is balanced, acknowledging RLVR's genuine contributions while honestly characterizing limitations.

Domain 5: Source-Back Verification

Rating: Low risk

Source Claim in Assessment Source Actually Says Match?
SRC01 RLVR "works where ground truth exists, fails for creative writing" Source states: "works where ground truth exists. It fails for creative writing, brand voice, or nuanced argumentation" Yes
SRC01 71% compression vs. minimal capability gain Source states "71% compression versus minimal capability gain" Yes
SRC03 RLVR "cannot be directly applied to open-ended tasks" Source states: "Since RLVR fundamentally relies on verifiers that presuppose the existence of standard answers, it cannot be directly applied to open-ended tasks" Yes
SRC04 DeepSeek V3 most sycophantic in Stanford study Stanford/CMU study found DeepSeek V3 affirming users "55% more than humans" -- most among 11 models Yes

Discrepancies found: 0

Corrections applied: None needed

Unresolved flags: None

Notes: All claims verified. The DeepSeek sycophancy claim was verified against the Stanford study, not the DeepSeek paper itself (which does not measure sycophancy).

Overall Assessment

Overall risk of bias: Low risk

Strong technical evidence base with consistent findings across sources. The main limitation is the KTO coverage gap.

Researcher Bias Check

  • Preference for comprehensive solutions: The researcher may prefer a single solution to sycophancy over incremental progress. MITIGATION: The assessment honestly acknowledges RLVR's genuine value in verifiable domains rather than dismissing it entirely.
  • Overweighting anecdotal experience: The researcher uses AI tools professionally and may overweight personal experience with sycophancy in conversational contexts, where RLVR does not apply. MITIGATION: Evidence-driven assessment using academic papers and benchmarks rather than personal experience.