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Evaluation-First Framing of Graph-Aware RAG Comparisons (Adopted from Zeng 2025, Han 2025, Ju 2025)
Leakage Audit: Train-Test Overlap Check in Prerequisite-QA Retrieval
Question-Disjoint and Target-Concept-Disjoint Splits in Prerequisite-QA Leakage Control
Token-Cap Diagnostic: Shared Token-Aware Serialization Comparison
Claim-to-Artifact Traceability for Headline Retrieval Numbers
Complementary Contribution Scope Over the Graph-RAG Evaluation-First Lineage
The paragraph positions this paper's contribution as complementary in scope to the recent graph-RAG evaluation-first lineage (Zeng et al. 2025; Han et al. 2025; Ju et al. 2025). On top of the matched-interface comparison among flat dense retrieval, graph baselines, reranking, diffusion, and best-first traversal, the paper adds four specific layers: (i) leakage-controlled prerequisite QA, (ii) question- and target-concept-disjoint split audits, (iii) separate token-cap diagnostics, and (iv) a claim-to-artifact traceability layer over each headline result. The framing is explicitly additive: these four layers extend the eval-first contract rather than replacing it.
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Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
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Complementary Contribution Scope Over the Graph-RAG Evaluation-First Lineage
Question-Disjoint and Target-Concept-Disjoint Splits in Prerequisite-QA Leakage Control
Complementary Contribution Scope Over the Graph-RAG Evaluation-First Lineage
Complementary Contribution Scope Over the Graph-RAG Evaluation-First Lineage
Bounded Benchmark Validity: Two Question Families and 21/18 Unique Held-Out Targets Cap Statistical Power
Complementary Contribution Scope Over the Graph-RAG Evaluation-First Lineage
Complementary Contribution Scope Over the Graph-RAG Evaluation-First Lineage