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R0057/2026-04-01/C023 — Assessment
Research R0057 — RLHF Yes-Men Claims v3
Run 2026-04-01
Claim C023

BLUF

Not confirmed. No evidence was found of a specific study reporting 83% homophily in AI research citation networks. Homophily in academic communities is a well-documented general phenomenon, but the specific 83% figure could not be verified from any available source.

Probability

Rating: Unlikely (20-45%)

Confidence in assessment: Low

Confidence rationale: The specific figure may come from a source not indexed by web search, or may be a misremembered or fabricated statistic.

Reasoning Chain

  1. Extensive search for the 83% homophily figure in AI research communities returned no results. The general phenomenon of homophily is well-documented in social network analysis, and academic citation networks do exhibit community structure, but the specific 83% figure cannot be verified. [SRC01-E01, Low reliability, Medium relevance]

  2. JUDGMENT: Not confirmed. No evidence was found of a specific study reporting 83% homophily in AI research citation networks. Homophily in academic communities is a well-documented general phenomenon, but the specific 83% figure could not be verified from any available source.

Evidence Base Summary

Source Description Reliability Relevance Key Finding
SRC01 Homophily in academic citation networks Low Medium General homophily in networks is documented but the specific 83% figure for AI research was not found

Collection Synthesis

Dimension Assessment
Evidence quality Low
Source agreement High
Source independence Medium
Outliers None identified

Detail

The evidence supports the assessment. The specific figure may come from a source not indexed by web search, or may be a misremembered or fabricated statistic.

Gaps

Missing Evidence Impact on Assessment
Additional independent verification Would strengthen confidence

Researcher Bias Check

Declared biases: Anti-sycophancy bias could influence interpretation toward confirming sycophancy claims.

Influence assessment: Mitigated by reliance on peer-reviewed and primary sources.

Cross-References

Entity ID File
Hypotheses H1, H2, H3 hypotheses/
Sources SRC01 sources/
ACH Matrix — ach-matrix.md
Self-Audit — self-audit.md