D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Understanding
Multi-modal retrieval-augmented generation (RAG) is a key technique for visually rich long document understanding. Existing multi-modal RAG methods are progressively advancing toward multi-agent systems: they first retrieve relevant pages based on a query, and then iteratively understand information within those pages. However, these methods typically rely on fixed workflows and lack the ability to dynamically scale computation at test time, often leading to insufficient evidence. To address this, we propose D2-ScaleAgent, an agentic framework that introduces a dual-dimensional scaling paradig
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Un” ≈ “AgentCore-8B””
- FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Un” ≈ “SWE-agent/SWE-agent””
- FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Un” ≈ “zhayujie/CowAgent””
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzySimilar title/name (fuzzy) · 59%NousResearch/hermes-agent →
“Fuzzy title match (0.73): “D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Un” ≈ “NousResearch/hermes-agent””
- LinkedLinked via arxiv author · 85%Junshao Zhang →
“D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Understanding”
- LinkedLinked via arxiv author · 85%Longrong Yang →
“D2-ScaleAgent: Dual-Dimensional Scaling for Long Document Understanding”
