TAG ARCHIVE

answer-refusal

1 MARIA OS blog articles tagged answer-refusal, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Multi-Agent Mathematics

Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

IntelligenceJanuary 14, 202624 min read

Why Evidence Bundles Stabilize RAG Accuracy: A Variance Reduction Framework

Proving that bundled evidence reduces hallucination rate exponentially and establishing cohesion-based answer refusal thresholds

RAG reliability depends strongly on evidence quality and cohesion. When retrieved passages are topically scattered, model outputs are more likely to hallucinate to fill coherence gaps. This paper models hallucination rate as `H(e) = H_base * exp(-lambda * density(e))`, analyzes how bundled retrieval reduces answer variance as cohesion increases, and derives cohesion thresholds for refusal behavior under low-evidence conditions. Across 8,400 governance queries, evidence bundles reduced hallucination from 12.3% to 2.1%.

evidence-bundlesrag-stabilityhallucinationvariance-reductioncohesion-scoreanswer-refusal