Learn Before
Claims Explicitly Avoided: Auto-Judge Validation, Semantic-Evasion Effects, End-to-End QA Gains
The paper deliberately does not claim three results that its artifact cannot support: (i) automatic-judge validation, (ii) semantic-evasion effects, or (iii) robust end-to-end QA gains. This claim-avoidance discipline keeps the headline contributions restricted to retrieval under strict-parity and leakage controls, and is the reason the paper does not promote its qualitative bundles, generation diagnostics, or LLM-judge artifacts as evidentiary results.
0
1
Tags
Science
Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
Related
Generation as Context-Quality Diagnostic, Not a Headline Claim
Claims Explicitly Avoided: Auto-Judge Validation, Semantic-Evasion Effects, End-to-End QA Gains
Qualitative Manual Bundles Remain Non-Evidentiary Until Multi-Annotator Replication
Analysis-Section Scope Statement: Evidence Specific to Curated, Template-Based Prerequisite QA
HotpotQA External-Validity Probe: Adaptive Depth Does Not Transfer to a Denser Non-Prerequisite Graph (FullWiki-1k: Flat 93.4 / Hier 92.9 / Adaptive 94.0 R@10)