Deterministic Diffusion Serves as a Controlled Test Case, Not a Broad New-Retriever Claim
The Conclusion explicitly scopes the paper's contribution as methodological rather than algorithmic: deterministic bidirectional diffusion with role-aware quotas is presented as a controlled test case for auditing strict-parity evaluation of prerequisite-graph retrieval, not as a proposal for a broadly superior new retriever. The graph-policy variants are vehicles for stress-testing the evaluation contract (strict parity, leakage audits, separate token-cap diagnostics, external-validity boundary checks, traceable artifacts), and the headline retrieval numbers should be read as evidence about what those controls reveal rather than as a recommendation to deploy diffusion-based retrieval in general settings.
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Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
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Defensible Narrow Conclusion: Graph Diffusion Helps on Curated Template-Based Prerequisite QA Only Under Aligned, Controlled First-Stage Retrieval
Tied-at-R@10 Reading is Non-Rejection of Equivalence Under a Power Bound, Not a Positive Equivalence Claim
Deterministic Diffusion Serves as a Controlled Test Case, Not a Broad New-Retriever Claim
Deterministic Diffusion Serves as a Controlled Test Case, Not a Broad New-Retriever Claim