Method Part 2: Adaptive Depth Gating for Prerequisite Retrieval (Auditable Strict-Parity Graph-RAG Paper)
This organizer keeps part 2 of the method details for Adaptive Depth Gating for Prerequisite Retrieval small enough for learners to study without a long flat child list.
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Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
Learn After
LectureBank-Full ΔR@k Peaks at k=4 (+6.4 Points, CI [1.0, 11.7])
Bidirectional Diffusion Hyperparameter Settings (LectureBank-Full Main Runs)
MOOC-CS ΔR@k Curve Stays Near Zero Across k (Adaptive vs Hierarchical)
Token-Cap Comparison on LectureBank-Full: Adaptive Loses More as Cap Tightens
MOOC-CS Headline R@10 Numbers: LightRAG/Truncated-PPR 25.6-25.9 vs Adaptive/Hierarchical Tied at 23.1
LectureBank-Full Tight-Budget Advantage of Adaptive Depth Gating (Mean ΔR@k = +2.13 over k∈{1,2,3,4})