Apodex 1.1: Scaling Agentic Intelligence for Complex Work
General-purpose language models can reason and synthesize knowledge, but complex work also requires sustained interaction with files, information sources, and executable code, together with state maintenance, failure recovery, and verifiable delivery. We call this \emph{working capability}: sustained, verifiable progress toward a real-world objective. Apodex 1.1 develops this capability along two complementary dimensions. \emph{Environment Scaling} expands the diversity and verifiability of executable file, search, and code environments, while \emph{Agentic Coordination Scaling} trains agents
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.
- PossiblePossibly related (embedding) · 26%langchain-ai/langgraph →
“Possibly related via embedding similarity 0.56 (not asserted). Timestamp check: artifact slightly before paper (-52d).”
- PossiblePossibly related (embedding) · 60%Demystifying agentic AI: How to build production-ready AIOps with open source models →
- FuzzyOverlapping authors or contributors · 62%open-webui/open-webui →
“Shared author/contributor keys: nguyen”
- LinkedLinked via arxiv author · 85%L. Lei →
“Apodex 1.1: Scaling Agentic Intelligence for Complex Work”
- LinkedLinked via arxiv author · 85%L. Su →
“Apodex 1.1: Scaling Agentic Intelligence for Complex Work”
- LinkedLinked via arxiv author · 85%Le. Wang →
“Apodex 1.1: Scaling Agentic Intelligence for Complex Work”
- LinkedLinked via arxiv author · 85%Lu Wang →
“Apodex 1.1: Scaling Agentic Intelligence for Complex Work”
- LinkedLinked via arxiv author · 85%N. Wang →
“Apodex 1.1: Scaling Agentic Intelligence for Complex Work”