LEDGER improves consistency in agentic document editing from 56% to 76% across six models by using a dependency graph for targeted context retrieval while cutting token usage.
The method described in Section 2.1 extends Theorem 4 from (Vaswani et al., 2017)
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LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval
LEDGER improves consistency in agentic document editing from 56% to 76% across six models by using a dependency graph for targeted context retrieval while cutting token usage.